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Frances Rees, Michael Doherty, Matthew J Grainge, Peter Lanyon, Weiya Zhang, The worldwide incidence and prevalence of systemic lupus erythematosus: a systematic review of epidemiological studies, Rheumatology, Volume 56, Issue 11, November 2017, Pages 1945–1961, https://doi.org/10.1093/rheumatology/kex260
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Abstract
The aim was to review the worldwide incidence and prevalence of SLE and variation with age, sex, ethnicity and time.
A systematic search of MEDLINE and EMBASE search engines was carried out using Medical Subject Headings and keyword search terms for Systemic Lupus Erythematosus combined with incidence, prevalence and epidemiology in August 2013 and updated in September 2016. Author, journal, year of publication, country, region, case-finding method, study period, number of incident or prevalent cases, incidence (per 100 000 person-years) or prevalence (per 100 000 persons) and age, sex or ethnic group-specific incidence or prevalence were collected.
The highest estimates of incidence and prevalence of SLE were in North America [23.2/100 000 person-years (95% CI: 23.4, 24.0) and 241/100 000 people (95% CI: 130, 352), respectively]. The lowest incidences of SLE were reported in Africa and Ukraine (0.3/100 000 person-years), and the lowest prevalence was in Northern Australia (0 cases in a sample of 847 people). Women were more frequently affected than men for every age and ethnic group. Incidence peaked in middle adulthood and occurred later for men. People of Black ethnicity had the highest incidence and prevalence of SLE, whereas those with White ethnicity had the lowest incidence and prevalence. There appeared to be an increasing trend of SLE prevalence with time.
There are worldwide differences in the incidence and prevalence of SLE that vary with sex, age, ethnicity and time. Further study of genetic and environmental risk factors may explain the reasons for these differences. More epidemiological studies in Africa are warranted.
There is wide geographical variation in the reported incidence and prevalence of SLE.
Males with SLE have an older peak age of incidence and prevalence compared with females.
There appears to be a trend of increasing prevalence of SLE with time.
Introduction
Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease with a varying clinical phenotype. It is known to affect women more frequently than men, with a ratio of approximately six women to every one man [1]. The aetiology of SLE is not fully understood, but both genetic predisposition and environmental triggers are believed to be involved [2]. Studying the epidemiology of SLE allows us to identify and explore changes in potential risk factors for the disease and allows planning of health services in response to overall disease burden [3]. A review of the incidence and prevalence of SLE was last published in 2006 by Danchenko et al. [4] and found marked disparities in incidence and prevalence worldwide. This was attributed to both true geographical variation and variation in study design. It could be a result of differences in the age and ethnic mix between populations, the definition of SLE used or, as found in some studies in the same population, a change in the incidence and prevalence of SLE with time [1, 5–7]. The aim of this study was to review the current literature published on the incidence and prevalence of SLE throughout the world.
Methods
A systematic literature review was undertaken. The search strategy used both Medical Subject Headings (MeSH) and keyword search terms for Systemic Lupus Erythematosus combined with MeSH and keyword terms for incidence and epidemiology, followed by prevalence and epidemiology (see supplementary Table S1, available at Rheumatology Online, for search strategy). The databases searched were Ovid MEDLINE from 1946 to August 2013 and EMBASE from 1974 to August 2013. All articles were downloaded into Endnote software and were selected on the basis of title and then abstract for full review. Hand-searching of citations also occurred. Articles were included if they were written in English or French language and were regarding humans. Exclusion criteria were review articles, conference proceedings, abstracts or editorials, articles in press, articles involving drug-induced lupus or neonatal lupus, and those solely regarding paediatric patients or a subtype of SLE, such as LN or discoid lupus. Searches were updated in September 2016. Table 1 shows the number of articles retrieved from each database in August 2013 and the additional articles added in September 2016.
Search term . | Database . | Number of articles retrieved . | Number of articles after removing duplicates . | Number of articles selected for review on the basis of title and abstract . | Number of articles selected for inclusion after reading the full text article, including additional articles found by hand searching . | Number of additional articles selected on updated search in September 2016 . |
---|---|---|---|---|---|---|
Incidence | Medline | 542 | 1617 | 76 | 46 | 11 |
Embase | 1175 | |||||
Prevalence | Medline | 929 | 2744 | 92 | 76 | 14 |
Embase | 2290 |
Search term . | Database . | Number of articles retrieved . | Number of articles after removing duplicates . | Number of articles selected for review on the basis of title and abstract . | Number of articles selected for inclusion after reading the full text article, including additional articles found by hand searching . | Number of additional articles selected on updated search in September 2016 . |
---|---|---|---|---|---|---|
Incidence | Medline | 542 | 1617 | 76 | 46 | 11 |
Embase | 1175 | |||||
Prevalence | Medline | 929 | 2744 | 92 | 76 | 14 |
Embase | 2290 |
Search term . | Database . | Number of articles retrieved . | Number of articles after removing duplicates . | Number of articles selected for review on the basis of title and abstract . | Number of articles selected for inclusion after reading the full text article, including additional articles found by hand searching . | Number of additional articles selected on updated search in September 2016 . |
---|---|---|---|---|---|---|
Incidence | Medline | 542 | 1617 | 76 | 46 | 11 |
Embase | 1175 | |||||
Prevalence | Medline | 929 | 2744 | 92 | 76 | 14 |
Embase | 2290 |
Search term . | Database . | Number of articles retrieved . | Number of articles after removing duplicates . | Number of articles selected for review on the basis of title and abstract . | Number of articles selected for inclusion after reading the full text article, including additional articles found by hand searching . | Number of additional articles selected on updated search in September 2016 . |
---|---|---|---|---|---|---|
Incidence | Medline | 542 | 1617 | 76 | 46 | 11 |
Embase | 1175 | |||||
Prevalence | Medline | 929 | 2744 | 92 | 76 | 14 |
Embase | 2290 |
Information on author, journal, year of publication, country, region, case-finding method, study period, number of incident or prevalent cases, incidence (per 100 000 person-years) or prevalence (per 100 000 persons) was collected by F.R. In addition, any age, sex or ethnic group-specific incidence or prevalence rates reported were collected. Age-adjusted or standardized results were presented whenever available. PRISMA guidelines were used.
Results
Incidence
Geography
Table 2 and Fig. 1A summarize the reported worldwide incidence estimates of SLE. Figure 1A uses the most recent estimates from Table 2. There was worldwide variation, with the highest incidence reported in North America (23.2/100 000 person-years, 95% CI: 22.4, 24.0) [8] and the lowest incidences reported in Africa (0.3/100 000 person-years) [9] and Ukraine (0.3/100 000 person-years, 95% CI: 0.0, 1.5) [10]. In general, European countries had a lower incidence of SLE, whereas Asia, Australasia and the Americas had a higher incidence. The most frequent methods for case-finding were local secondary care hospital-based outpatient lists or discharge registries, or National Health Insurance databases.
Continent . | Country . | References . | Region . | Case-finding method . | Number of incident cases . | Incidence per 100 000 person-years (95% CI) [study year] . |
---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | Funen | Hospital and community records | 127 | 1.0 (0.3, 2.9)a [1980] |
3.6 (2.0, 6.1)a [1994] | ||||||
Laustrup et al. [11] | Funen | Hospital and community records | 35 | 1.0 (0.3, 2.7) | ||
Hermansen et al. [12] | National | National patient registry | 1644 | 2.35 (2.24, 2.49) | ||
France | Arnaud et al. [13] | National | National health insurance database | 1931 | 3.32 | |
Finland | Elfving et al. [14] | Northern Savo | Hospital and community records | 7 | 3.6 (3.0, 4.2)a | |
Greece | Alamanos et al. [15] | North-west | Hospital records | 178 | 1.9 (1.5, 2.3)a | |
Iceland | Gudmundsson et al. [16] | National | Hospital registers | 76 | 3.3 | |
Italy | Govoni et al. [17] | Ferrara | Hospital records | 2000: 7 | 2.0 | |
2001: 4 | 1.2 | |||||
2002: 9 | 2.6 | |||||
Tsioni et al. [18] | Valtrompia | Hospital and community records | 9 | 2.0 (0.9, 3.8) | ||
Norway | Nossent [19] | North | Hospital records | 83 | 2.9 (2.4, 3.3)a | |
Eilertsen et al. [20] | North | Hospital records | 58 | 3.0 (2.0, 4.0) | ||
Lerang et al. [21] | Oslo | Hospital records | 116 | 3.0 (2.4, 3.5) | ||
Spain | López et al. [22] | Asturias | Hospital records | 116 | 2.2 (1.8, 2.5) | |
Gómez et al. [23] | Asturias | Hospital records | – | 1.9 (1.1, 2.7) | ||
Alonso et al. [24] | Lugo | Hospital records | 150 | 3.6 (3.0, 4.2)a | ||
Sweden | Leonhardt [7] | Malmö | Hospital records | 16 | 1.0a | |
Eyrich et al. [25] | Halmstad | Hospital records | 41 | 1.8 [1957, 1964] | ||
3.0 [1964, 1971] | ||||||
Jonsson et al. [26] | Lund and Orup | Hospital and community records | 39 | 4.0 (1.6, 6.4)a | ||
Ståhl-Hallengren et al. [6] | Lund and Orup | Hospital and community records | 41 | 4.8 | ||
Ingvarsson et al. [27] | Lund and Orup | Hospital and community records | 55 | 2.8 (1.4, 4.2) | ||
UK | Hopkinson et al. [28] | Nottingham | Hospital records | 23 | 4.0 (2.3, 5.6)a | |
Johnson et al. [29] | Birmingham | Hospital records | 33 | 3.8 (2.5, 5.1) | ||
Nightingale et al. [30] | Whole UK | CPRD | 390 | 3.0 (2.7, 3.3) | ||
Somers et al. [31] | Whole UK | CPRD | 1638 | 4.7 (4.5, 4.9)a | ||
Rees et al. [1] | Whole UK | CPRD | 2740 | 4.9 (4.7, 5.1) | ||
North America | Canada | Bernatsky et al. [32] | Quebec | Physician billing database | 219 | 3.0 (2.6, 3.4) |
Hospitalization database | 203 | 2.8 (2.6, 3.0) | ||||
USA | Siegel et al. [33] | New York and Alabama | Hospital records | New York: 98 | 1.9 | |
Alabama: 63 | 1.0 | |||||
Fessel [34] | San Francisco | Hospital records | 74 | 7.6 | ||
Hochberg [35] | Baltimore | Hospital records | 302 | 4.6a | ||
Michet et al. [36] | Minnesota | Hospital records and death certificates | 25 | 1.8 (1.1, 2.5)a | ||
McCarty et al. [37] | Pennsylvania | Community and hospital records | 191 | 2.4 (2.1, 2.8)a | ||
Uramoto et al. [38] | Minnesota | Hospital records | 48 | 5.6 (3.9, 7.2)a | ||
Naleway et al. [39] | Wisconsin | Medical records | 44 | 5.1 (3.6, 6.6)a | ||
Feldman et al. [8] | Whole US | Medicaid database | 3490 | 23.2 (22.4, 24.0) | ||
Furst et al. [40] | Whole US | Medical claims database | 1557 | 7.2 (6.8, 7.7)a | ||
Lim et al. [41] | Georgia | Georgia Lupus registry | 267 | 5.6 (5.0, 6.3)a | ||
Somers et al. [42] | Michigan | Medical records | 399 | 5.5 (5.0, 6.1)a | ||
Jarukitsopa et al. [43] | Minnesota | Rochester epidemiology project database | 45 | 2.9 (2.0, 3.7) | ||
Central America | Caribbean | Nossent [44] | Curaçao | Medical records | 68 | 4.6 (0.4, 8.8) |
Deligny et al. [45] | Martinique | Medical records | 180 | 4.7 (2.5, 6.9) | ||
Flower et al. [46] | Barbados | National hospital-based SLE registry | 183 | 6.3 (5.4, 7.3)a | ||
South America | Argentina | Scolnik [47] | Buenos Aires | Private medical care database | 68 | 6.3 (4.9, 7.7) |
Brazil | Pereira Vilar et al. [48] | Natal city | Hospital records | 43 | 8.7 (6.3, 11.7) | |
Nakashima et al. [49] | Cascavel | Medical records | 14 | 4.8 | ||
Africa | Zimbabwe | Taylor et al. [9] | Bulawayo and Harare | Hospital records | 22 | 0.3 |
Asia | China | Mok et al. [50] | Hong Kong | University hospital database | – | 3.1 |
Kazakhstan | Nasonov et al. [10] | Semey | Hospital records | 4 | 1.3 (0.4, 3.4)a | |
Russia | Nasonov et al. [10] | Kursk and Yaroslavl | Hospital records | 12 | 1.2 (0.6, 2.1)a | |
Ukraine | Nasonov et al. [10] | Vinnitsa | Hospital records | 1 | 0.3 (0.0, 1.5)a | |
South Korea | Shim et al. [51] | National | National Health Insurance database | 1398 | 2.8 (2.7–2.9)a | |
Taiwan | Chiu et al. [52] | National | National Health Insurance database | 12 789 | 8.1 | |
Kang et al. [53] | National | National Health Insurance database | 758 | 3.3 | ||
Yu et al. [54] | National | National Health Insurance database | 671 | 8.4 (7.7, 9.0) | ||
Yeh et al. [55] | National | Catastrophic illness database | 6675 | 4.9 | ||
See et al. [56] | National | National Health Insurance database | 358 | 7.2 (6.5, 8.0) | ||
Australasia | Australia | Anstey et al. [57] | Northern Territory | Hospital records | 13 | 11 |
Continent . | Country . | References . | Region . | Case-finding method . | Number of incident cases . | Incidence per 100 000 person-years (95% CI) [study year] . |
---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | Funen | Hospital and community records | 127 | 1.0 (0.3, 2.9)a [1980] |
3.6 (2.0, 6.1)a [1994] | ||||||
Laustrup et al. [11] | Funen | Hospital and community records | 35 | 1.0 (0.3, 2.7) | ||
Hermansen et al. [12] | National | National patient registry | 1644 | 2.35 (2.24, 2.49) | ||
France | Arnaud et al. [13] | National | National health insurance database | 1931 | 3.32 | |
Finland | Elfving et al. [14] | Northern Savo | Hospital and community records | 7 | 3.6 (3.0, 4.2)a | |
Greece | Alamanos et al. [15] | North-west | Hospital records | 178 | 1.9 (1.5, 2.3)a | |
Iceland | Gudmundsson et al. [16] | National | Hospital registers | 76 | 3.3 | |
Italy | Govoni et al. [17] | Ferrara | Hospital records | 2000: 7 | 2.0 | |
2001: 4 | 1.2 | |||||
2002: 9 | 2.6 | |||||
Tsioni et al. [18] | Valtrompia | Hospital and community records | 9 | 2.0 (0.9, 3.8) | ||
Norway | Nossent [19] | North | Hospital records | 83 | 2.9 (2.4, 3.3)a | |
Eilertsen et al. [20] | North | Hospital records | 58 | 3.0 (2.0, 4.0) | ||
Lerang et al. [21] | Oslo | Hospital records | 116 | 3.0 (2.4, 3.5) | ||
Spain | López et al. [22] | Asturias | Hospital records | 116 | 2.2 (1.8, 2.5) | |
Gómez et al. [23] | Asturias | Hospital records | – | 1.9 (1.1, 2.7) | ||
Alonso et al. [24] | Lugo | Hospital records | 150 | 3.6 (3.0, 4.2)a | ||
Sweden | Leonhardt [7] | Malmö | Hospital records | 16 | 1.0a | |
Eyrich et al. [25] | Halmstad | Hospital records | 41 | 1.8 [1957, 1964] | ||
3.0 [1964, 1971] | ||||||
Jonsson et al. [26] | Lund and Orup | Hospital and community records | 39 | 4.0 (1.6, 6.4)a | ||
Ståhl-Hallengren et al. [6] | Lund and Orup | Hospital and community records | 41 | 4.8 | ||
Ingvarsson et al. [27] | Lund and Orup | Hospital and community records | 55 | 2.8 (1.4, 4.2) | ||
UK | Hopkinson et al. [28] | Nottingham | Hospital records | 23 | 4.0 (2.3, 5.6)a | |
Johnson et al. [29] | Birmingham | Hospital records | 33 | 3.8 (2.5, 5.1) | ||
Nightingale et al. [30] | Whole UK | CPRD | 390 | 3.0 (2.7, 3.3) | ||
Somers et al. [31] | Whole UK | CPRD | 1638 | 4.7 (4.5, 4.9)a | ||
Rees et al. [1] | Whole UK | CPRD | 2740 | 4.9 (4.7, 5.1) | ||
North America | Canada | Bernatsky et al. [32] | Quebec | Physician billing database | 219 | 3.0 (2.6, 3.4) |
Hospitalization database | 203 | 2.8 (2.6, 3.0) | ||||
USA | Siegel et al. [33] | New York and Alabama | Hospital records | New York: 98 | 1.9 | |
Alabama: 63 | 1.0 | |||||
Fessel [34] | San Francisco | Hospital records | 74 | 7.6 | ||
Hochberg [35] | Baltimore | Hospital records | 302 | 4.6a | ||
Michet et al. [36] | Minnesota | Hospital records and death certificates | 25 | 1.8 (1.1, 2.5)a | ||
McCarty et al. [37] | Pennsylvania | Community and hospital records | 191 | 2.4 (2.1, 2.8)a | ||
Uramoto et al. [38] | Minnesota | Hospital records | 48 | 5.6 (3.9, 7.2)a | ||
Naleway et al. [39] | Wisconsin | Medical records | 44 | 5.1 (3.6, 6.6)a | ||
Feldman et al. [8] | Whole US | Medicaid database | 3490 | 23.2 (22.4, 24.0) | ||
Furst et al. [40] | Whole US | Medical claims database | 1557 | 7.2 (6.8, 7.7)a | ||
Lim et al. [41] | Georgia | Georgia Lupus registry | 267 | 5.6 (5.0, 6.3)a | ||
Somers et al. [42] | Michigan | Medical records | 399 | 5.5 (5.0, 6.1)a | ||
Jarukitsopa et al. [43] | Minnesota | Rochester epidemiology project database | 45 | 2.9 (2.0, 3.7) | ||
Central America | Caribbean | Nossent [44] | Curaçao | Medical records | 68 | 4.6 (0.4, 8.8) |
Deligny et al. [45] | Martinique | Medical records | 180 | 4.7 (2.5, 6.9) | ||
Flower et al. [46] | Barbados | National hospital-based SLE registry | 183 | 6.3 (5.4, 7.3)a | ||
South America | Argentina | Scolnik [47] | Buenos Aires | Private medical care database | 68 | 6.3 (4.9, 7.7) |
Brazil | Pereira Vilar et al. [48] | Natal city | Hospital records | 43 | 8.7 (6.3, 11.7) | |
Nakashima et al. [49] | Cascavel | Medical records | 14 | 4.8 | ||
Africa | Zimbabwe | Taylor et al. [9] | Bulawayo and Harare | Hospital records | 22 | 0.3 |
Asia | China | Mok et al. [50] | Hong Kong | University hospital database | – | 3.1 |
Kazakhstan | Nasonov et al. [10] | Semey | Hospital records | 4 | 1.3 (0.4, 3.4)a | |
Russia | Nasonov et al. [10] | Kursk and Yaroslavl | Hospital records | 12 | 1.2 (0.6, 2.1)a | |
Ukraine | Nasonov et al. [10] | Vinnitsa | Hospital records | 1 | 0.3 (0.0, 1.5)a | |
South Korea | Shim et al. [51] | National | National Health Insurance database | 1398 | 2.8 (2.7–2.9)a | |
Taiwan | Chiu et al. [52] | National | National Health Insurance database | 12 789 | 8.1 | |
Kang et al. [53] | National | National Health Insurance database | 758 | 3.3 | ||
Yu et al. [54] | National | National Health Insurance database | 671 | 8.4 (7.7, 9.0) | ||
Yeh et al. [55] | National | Catastrophic illness database | 6675 | 4.9 | ||
See et al. [56] | National | National Health Insurance database | 358 | 7.2 (6.5, 8.0) | ||
Australasia | Australia | Anstey et al. [57] | Northern Territory | Hospital records | 13 | 11 |
Age standardized. CPRD: UK Clinical Practice Research Datalink.
Continent . | Country . | References . | Region . | Case-finding method . | Number of incident cases . | Incidence per 100 000 person-years (95% CI) [study year] . |
---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | Funen | Hospital and community records | 127 | 1.0 (0.3, 2.9)a [1980] |
3.6 (2.0, 6.1)a [1994] | ||||||
Laustrup et al. [11] | Funen | Hospital and community records | 35 | 1.0 (0.3, 2.7) | ||
Hermansen et al. [12] | National | National patient registry | 1644 | 2.35 (2.24, 2.49) | ||
France | Arnaud et al. [13] | National | National health insurance database | 1931 | 3.32 | |
Finland | Elfving et al. [14] | Northern Savo | Hospital and community records | 7 | 3.6 (3.0, 4.2)a | |
Greece | Alamanos et al. [15] | North-west | Hospital records | 178 | 1.9 (1.5, 2.3)a | |
Iceland | Gudmundsson et al. [16] | National | Hospital registers | 76 | 3.3 | |
Italy | Govoni et al. [17] | Ferrara | Hospital records | 2000: 7 | 2.0 | |
2001: 4 | 1.2 | |||||
2002: 9 | 2.6 | |||||
Tsioni et al. [18] | Valtrompia | Hospital and community records | 9 | 2.0 (0.9, 3.8) | ||
Norway | Nossent [19] | North | Hospital records | 83 | 2.9 (2.4, 3.3)a | |
Eilertsen et al. [20] | North | Hospital records | 58 | 3.0 (2.0, 4.0) | ||
Lerang et al. [21] | Oslo | Hospital records | 116 | 3.0 (2.4, 3.5) | ||
Spain | López et al. [22] | Asturias | Hospital records | 116 | 2.2 (1.8, 2.5) | |
Gómez et al. [23] | Asturias | Hospital records | – | 1.9 (1.1, 2.7) | ||
Alonso et al. [24] | Lugo | Hospital records | 150 | 3.6 (3.0, 4.2)a | ||
Sweden | Leonhardt [7] | Malmö | Hospital records | 16 | 1.0a | |
Eyrich et al. [25] | Halmstad | Hospital records | 41 | 1.8 [1957, 1964] | ||
3.0 [1964, 1971] | ||||||
Jonsson et al. [26] | Lund and Orup | Hospital and community records | 39 | 4.0 (1.6, 6.4)a | ||
Ståhl-Hallengren et al. [6] | Lund and Orup | Hospital and community records | 41 | 4.8 | ||
Ingvarsson et al. [27] | Lund and Orup | Hospital and community records | 55 | 2.8 (1.4, 4.2) | ||
UK | Hopkinson et al. [28] | Nottingham | Hospital records | 23 | 4.0 (2.3, 5.6)a | |
Johnson et al. [29] | Birmingham | Hospital records | 33 | 3.8 (2.5, 5.1) | ||
Nightingale et al. [30] | Whole UK | CPRD | 390 | 3.0 (2.7, 3.3) | ||
Somers et al. [31] | Whole UK | CPRD | 1638 | 4.7 (4.5, 4.9)a | ||
Rees et al. [1] | Whole UK | CPRD | 2740 | 4.9 (4.7, 5.1) | ||
North America | Canada | Bernatsky et al. [32] | Quebec | Physician billing database | 219 | 3.0 (2.6, 3.4) |
Hospitalization database | 203 | 2.8 (2.6, 3.0) | ||||
USA | Siegel et al. [33] | New York and Alabama | Hospital records | New York: 98 | 1.9 | |
Alabama: 63 | 1.0 | |||||
Fessel [34] | San Francisco | Hospital records | 74 | 7.6 | ||
Hochberg [35] | Baltimore | Hospital records | 302 | 4.6a | ||
Michet et al. [36] | Minnesota | Hospital records and death certificates | 25 | 1.8 (1.1, 2.5)a | ||
McCarty et al. [37] | Pennsylvania | Community and hospital records | 191 | 2.4 (2.1, 2.8)a | ||
Uramoto et al. [38] | Minnesota | Hospital records | 48 | 5.6 (3.9, 7.2)a | ||
Naleway et al. [39] | Wisconsin | Medical records | 44 | 5.1 (3.6, 6.6)a | ||
Feldman et al. [8] | Whole US | Medicaid database | 3490 | 23.2 (22.4, 24.0) | ||
Furst et al. [40] | Whole US | Medical claims database | 1557 | 7.2 (6.8, 7.7)a | ||
Lim et al. [41] | Georgia | Georgia Lupus registry | 267 | 5.6 (5.0, 6.3)a | ||
Somers et al. [42] | Michigan | Medical records | 399 | 5.5 (5.0, 6.1)a | ||
Jarukitsopa et al. [43] | Minnesota | Rochester epidemiology project database | 45 | 2.9 (2.0, 3.7) | ||
Central America | Caribbean | Nossent [44] | Curaçao | Medical records | 68 | 4.6 (0.4, 8.8) |
Deligny et al. [45] | Martinique | Medical records | 180 | 4.7 (2.5, 6.9) | ||
Flower et al. [46] | Barbados | National hospital-based SLE registry | 183 | 6.3 (5.4, 7.3)a | ||
South America | Argentina | Scolnik [47] | Buenos Aires | Private medical care database | 68 | 6.3 (4.9, 7.7) |
Brazil | Pereira Vilar et al. [48] | Natal city | Hospital records | 43 | 8.7 (6.3, 11.7) | |
Nakashima et al. [49] | Cascavel | Medical records | 14 | 4.8 | ||
Africa | Zimbabwe | Taylor et al. [9] | Bulawayo and Harare | Hospital records | 22 | 0.3 |
Asia | China | Mok et al. [50] | Hong Kong | University hospital database | – | 3.1 |
Kazakhstan | Nasonov et al. [10] | Semey | Hospital records | 4 | 1.3 (0.4, 3.4)a | |
Russia | Nasonov et al. [10] | Kursk and Yaroslavl | Hospital records | 12 | 1.2 (0.6, 2.1)a | |
Ukraine | Nasonov et al. [10] | Vinnitsa | Hospital records | 1 | 0.3 (0.0, 1.5)a | |
South Korea | Shim et al. [51] | National | National Health Insurance database | 1398 | 2.8 (2.7–2.9)a | |
Taiwan | Chiu et al. [52] | National | National Health Insurance database | 12 789 | 8.1 | |
Kang et al. [53] | National | National Health Insurance database | 758 | 3.3 | ||
Yu et al. [54] | National | National Health Insurance database | 671 | 8.4 (7.7, 9.0) | ||
Yeh et al. [55] | National | Catastrophic illness database | 6675 | 4.9 | ||
See et al. [56] | National | National Health Insurance database | 358 | 7.2 (6.5, 8.0) | ||
Australasia | Australia | Anstey et al. [57] | Northern Territory | Hospital records | 13 | 11 |
Continent . | Country . | References . | Region . | Case-finding method . | Number of incident cases . | Incidence per 100 000 person-years (95% CI) [study year] . |
---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | Funen | Hospital and community records | 127 | 1.0 (0.3, 2.9)a [1980] |
3.6 (2.0, 6.1)a [1994] | ||||||
Laustrup et al. [11] | Funen | Hospital and community records | 35 | 1.0 (0.3, 2.7) | ||
Hermansen et al. [12] | National | National patient registry | 1644 | 2.35 (2.24, 2.49) | ||
France | Arnaud et al. [13] | National | National health insurance database | 1931 | 3.32 | |
Finland | Elfving et al. [14] | Northern Savo | Hospital and community records | 7 | 3.6 (3.0, 4.2)a | |
Greece | Alamanos et al. [15] | North-west | Hospital records | 178 | 1.9 (1.5, 2.3)a | |
Iceland | Gudmundsson et al. [16] | National | Hospital registers | 76 | 3.3 | |
Italy | Govoni et al. [17] | Ferrara | Hospital records | 2000: 7 | 2.0 | |
2001: 4 | 1.2 | |||||
2002: 9 | 2.6 | |||||
Tsioni et al. [18] | Valtrompia | Hospital and community records | 9 | 2.0 (0.9, 3.8) | ||
Norway | Nossent [19] | North | Hospital records | 83 | 2.9 (2.4, 3.3)a | |
Eilertsen et al. [20] | North | Hospital records | 58 | 3.0 (2.0, 4.0) | ||
Lerang et al. [21] | Oslo | Hospital records | 116 | 3.0 (2.4, 3.5) | ||
Spain | López et al. [22] | Asturias | Hospital records | 116 | 2.2 (1.8, 2.5) | |
Gómez et al. [23] | Asturias | Hospital records | – | 1.9 (1.1, 2.7) | ||
Alonso et al. [24] | Lugo | Hospital records | 150 | 3.6 (3.0, 4.2)a | ||
Sweden | Leonhardt [7] | Malmö | Hospital records | 16 | 1.0a | |
Eyrich et al. [25] | Halmstad | Hospital records | 41 | 1.8 [1957, 1964] | ||
3.0 [1964, 1971] | ||||||
Jonsson et al. [26] | Lund and Orup | Hospital and community records | 39 | 4.0 (1.6, 6.4)a | ||
Ståhl-Hallengren et al. [6] | Lund and Orup | Hospital and community records | 41 | 4.8 | ||
Ingvarsson et al. [27] | Lund and Orup | Hospital and community records | 55 | 2.8 (1.4, 4.2) | ||
UK | Hopkinson et al. [28] | Nottingham | Hospital records | 23 | 4.0 (2.3, 5.6)a | |
Johnson et al. [29] | Birmingham | Hospital records | 33 | 3.8 (2.5, 5.1) | ||
Nightingale et al. [30] | Whole UK | CPRD | 390 | 3.0 (2.7, 3.3) | ||
Somers et al. [31] | Whole UK | CPRD | 1638 | 4.7 (4.5, 4.9)a | ||
Rees et al. [1] | Whole UK | CPRD | 2740 | 4.9 (4.7, 5.1) | ||
North America | Canada | Bernatsky et al. [32] | Quebec | Physician billing database | 219 | 3.0 (2.6, 3.4) |
Hospitalization database | 203 | 2.8 (2.6, 3.0) | ||||
USA | Siegel et al. [33] | New York and Alabama | Hospital records | New York: 98 | 1.9 | |
Alabama: 63 | 1.0 | |||||
Fessel [34] | San Francisco | Hospital records | 74 | 7.6 | ||
Hochberg [35] | Baltimore | Hospital records | 302 | 4.6a | ||
Michet et al. [36] | Minnesota | Hospital records and death certificates | 25 | 1.8 (1.1, 2.5)a | ||
McCarty et al. [37] | Pennsylvania | Community and hospital records | 191 | 2.4 (2.1, 2.8)a | ||
Uramoto et al. [38] | Minnesota | Hospital records | 48 | 5.6 (3.9, 7.2)a | ||
Naleway et al. [39] | Wisconsin | Medical records | 44 | 5.1 (3.6, 6.6)a | ||
Feldman et al. [8] | Whole US | Medicaid database | 3490 | 23.2 (22.4, 24.0) | ||
Furst et al. [40] | Whole US | Medical claims database | 1557 | 7.2 (6.8, 7.7)a | ||
Lim et al. [41] | Georgia | Georgia Lupus registry | 267 | 5.6 (5.0, 6.3)a | ||
Somers et al. [42] | Michigan | Medical records | 399 | 5.5 (5.0, 6.1)a | ||
Jarukitsopa et al. [43] | Minnesota | Rochester epidemiology project database | 45 | 2.9 (2.0, 3.7) | ||
Central America | Caribbean | Nossent [44] | Curaçao | Medical records | 68 | 4.6 (0.4, 8.8) |
Deligny et al. [45] | Martinique | Medical records | 180 | 4.7 (2.5, 6.9) | ||
Flower et al. [46] | Barbados | National hospital-based SLE registry | 183 | 6.3 (5.4, 7.3)a | ||
South America | Argentina | Scolnik [47] | Buenos Aires | Private medical care database | 68 | 6.3 (4.9, 7.7) |
Brazil | Pereira Vilar et al. [48] | Natal city | Hospital records | 43 | 8.7 (6.3, 11.7) | |
Nakashima et al. [49] | Cascavel | Medical records | 14 | 4.8 | ||
Africa | Zimbabwe | Taylor et al. [9] | Bulawayo and Harare | Hospital records | 22 | 0.3 |
Asia | China | Mok et al. [50] | Hong Kong | University hospital database | – | 3.1 |
Kazakhstan | Nasonov et al. [10] | Semey | Hospital records | 4 | 1.3 (0.4, 3.4)a | |
Russia | Nasonov et al. [10] | Kursk and Yaroslavl | Hospital records | 12 | 1.2 (0.6, 2.1)a | |
Ukraine | Nasonov et al. [10] | Vinnitsa | Hospital records | 1 | 0.3 (0.0, 1.5)a | |
South Korea | Shim et al. [51] | National | National Health Insurance database | 1398 | 2.8 (2.7–2.9)a | |
Taiwan | Chiu et al. [52] | National | National Health Insurance database | 12 789 | 8.1 | |
Kang et al. [53] | National | National Health Insurance database | 758 | 3.3 | ||
Yu et al. [54] | National | National Health Insurance database | 671 | 8.4 (7.7, 9.0) | ||
Yeh et al. [55] | National | Catastrophic illness database | 6675 | 4.9 | ||
See et al. [56] | National | National Health Insurance database | 358 | 7.2 (6.5, 8.0) | ||
Australasia | Australia | Anstey et al. [57] | Northern Territory | Hospital records | 13 | 11 |
Age standardized. CPRD: UK Clinical Practice Research Datalink.
Age and sex
In all studies reviewed, females had a higher incidence of SLE compared with males. The sex ratio ranged from 2:1 [36] to 15:1 [46]. As an example, Somers et al. [31] estimated the UK incidence to be 7.89/100 000 person-years (95% CI: 7.46, 8.31) for females compared with 1.53/100 000 person-years (95% CI: 1.34, 1.71) for males. This higher incidence in females remained true for every age group, although the ratios were smaller at both extremes of age.
In the majority of studies, there was a peak age of incidence before declining. In females, the peak age ranged from the third to seventh decades of life. For males, the peak incidence was usually later, in the fifth to seventh decades. Three selected studies taken from three different geographical regions demonstrate this in Fig. 2A.
Ethnicity
In studies that reported differences between ethnic groups [1, 8, 21, 29, 33, 35, 37, 41, 42, 58, 59], incidence rates were highest in Black populations and lowest in Caucasians. Asian and Hispanic ethnic groups were intermediate. For example, in the UK, Hopkinson et al. [59] published race-specific incidence figures for Nottingham, with Afro-Caribbeans highest at 31.9/100 000 person-years, Asians 4.1/100 000 person-years and Whites 3.4/100 000 person-years. In North America, Native American Indians also had higher incidence rates than the White population. This was demonstrated in the study by Feldman et al. [8], where the incidence in native American Indians was 30.0/100 000 person-years (95% CI: 22.5, 39.9), which was similar to that of Black or African Americans [31.2/100 000 person-years (95% CI: 29.6, 32.9)] and significantly higher than for Whites [18.0/100 000 person-years (95% CI: 17.0, 19.0)] and Asians [16.7/100 000 person-years (95% CI: 13.9, 20.0)]. In the same study, the incidence in Hispanics was 22.2/100 000 person-years (95% CI: 20.4, 24.2). A study specifically focusing on native American Indians found that three tribes had a particularly high incidence of SLE, specifically the Crow, Arapahoe and Sioux tribes [60].
Temporal trend
There were a number of studies that examined the same population at risk over time, allowing us to examine the temporal trend (Fig. 3A). In the UK, Somers et al. [31] showed a small but non-significant increase in the incidence in females over the 10-year period 1990–99, but not with males. However, Rees et al. [1] found a statistically significant decline in incidence from 1999 to 2012 of 1.8% per year. In the County of Funen in Denmark, Voss et al. [5] looked at the time periods 1980–84, 1985–89 and 1990–94. The respective incidence rates were 1.0 (95% CI: 0.6, 1.6), 1.1 (95% CI: 0.7, 1.7) and 2.5 (95% CI: 1.8, 3.3) per 100 000 person-years. Although not linear, there was a significant increase from the first to the last 5-year period. Although this could be a true increase, from 1 January 1993 an additional data source was available, thus increasing the number of cases identified. Alamanos et al. [15], in North-West Greece, showed an increasing trend from 1.41/100 000 person-years (95% CI: 0.99, 1.83) in 1982–86 to 2.19/100 000 person-years (95% CI: 1.78, 2.60) in 1997–2001, but this was not statistically significant. Finally, results from the Rochester Epidemiology project in Minnesota were published by Michet et al. [36] for the period 1950–79, when the incidence was 1.8/100 000 person-years (95% CI: 1.1, 2.5), followed by Uramoto et al. [38], who published data for 1980–92, when the incidence rate was 5.6/100 000 person-years (95% CI: 3.9, 7.2), and finally, Jarukitsopa et al. [43], who examined 1993–2005 and found the incidence rate had declined to 2.9/100 000 person-years (95% CI: 2.0, 3.7).
Prevalence
Geography
The prevalence of SLE by country is summarized in Table 3 and Fig. 1B. Figure 1B uses the most recent estimates from Table 3. The lowest prevalence was reported in a community study of 847 people in Yarrabah, North Queensland, Australia [61], where no cases were found. The highest prevalence was in a national survey in the USA [62], which reported a prevalence of 241/100 000 people (95% CI: 130, 352). The most frequent methods for case-finding were local secondary care hospital-based outpatient or discharge registries, National Health Insurance databases or community surveys, such as the World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases (WHO-ILAR COPCORD).
Continent . | Country . | References . | Study period . | Region . | Case-finding method . | Prevalent cases . | Prevalence, per 100 000 (95% CI) [year of study] . |
---|---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | 1 January 1995 | Funen | Hospital and community records | 84 | 22.2a |
Laustrup et al. [11] | 1 January 2003 | Funen | Hospital and community records | 109 | 28.3 (23.3, 34.2) | ||
Eaton et al. [63] | 31 October 2006 | National | National hospital patient registry | – | 48 | ||
Hermansen et al. [12] | 31 Decmeber 2011 | National | National hospital patient registry | 1887 | 45.2 (43.3, 47.4) | ||
Finland | Helve [64] | December 1978 | National | National hospital discharge database | 1427 | 28 | |
France | Arnaud et al. [13] | 2010 | National | National Health Insurance database | 27 369 | 40.8a | |
Germany | Brinks et al. [65] | 2002 | National | National Health Insurance database | 845 | 36.7 (34.3, 39.3) | |
Greece | Alamanos et al. [15] | 31 December 2001 | North-West | Hospital records | 193 | 38.1 (36.3, 39.9)a | |
Anagnostopoulos et al. [66] | 2008 | Central | Postal survey | 2 | 110 (110, 370) | ||
Iceland | Gudmundsson et al. [16] | 1975–84 | National | Hospital registers | 86 | 35.9a | |
Italy | Benucci et al. [67] | June 2002 | Florence | Community survey | 23 | 71 (49, 92)a | |
Govoni et al. [17] | 2002 | Ferrara | Hospital records | 201 | 57.9 | ||
Sardu et al. [68] | July 2009 | Southern Sardinia | Community records | – | 81 (50, 124) | ||
Tsioni et al. [18] | 31 December 2012 | Valtrompia | Hospital and community records | 44 | 39.2 (28.5, 52.6) | ||
Lithuania | Dadoniene et al. [69] | 2004 | Vilnius | Hospital records and community survey | 76 | 16.2 (12.7, 20.3) | |
Norway | Nossent [19] | 1996 | North | Hospital records | 89 | 49.7 (44.3, 55)a | |
Eilertsen et al. [20] | 2007 | North | Hospital records | 114 | 64.1 | ||
Lerang et al. [21] | 1 January 2008 | Oslo | Hospital records | 238 | 52.8 (45.2, 58.4) | ||
Spain | López et al. [22] | 31 December 2002 | Asturias | Hospital records | 367 | 34.1 (30.6, 37.6) | |
Gómez et al. [23] | December 2003 | Asturias | Hospital records | – | 31.7 (28.3, 35.0) | ||
Alonso et al. [24] | 31 December 2006 | Lugo | Hospital records | 150 | 17.5 (12.6, 24.1)a | ||
Sweden | Leonhardt [7] | 1955 | Malmö | Hospital records | – | 2.9 | |
1958 | 4.5 | ||||||
1961 | 6.0 | ||||||
Nived et al. [70] | 31 December 1982 | Lund and Orup | Hospital and community records | 61 | 39 (30, 48) | ||
Ståhl-Hallengren et al. [6] | 31 December 1986 | Lund and Orup | Hospital and community records | 121 | 42 | ||
162 | 68 | ||||||
31 December 1991 | |||||||
Simard et al. [71] | 1 January 2010 | National | National patient register | 7929 | (46, 85) | ||
Ingvarsson et al. [27] | 31 December 2006 | Lund and Orup | Hospital and community records | 174 | 65 | ||
Turkey | Çakır et al. [72] | – | Havsa | Community survey | 10 | 57 (46, 70)a | |
UK | Hochberg [73] | 1981–82 | Whole UK | Community medical record survey | 20 | 6.5 | |
Samanta et al. [74] | 1986–89 | Leicester | Hospital records | 50 | 26.1 | ||
Hopkinson et al. [28] | 30 April 1990 | Nottingham | Hospital records | 147 | 24.6 (20.6, 28.7)a | ||
Johnson et al. [29] | 1992 | Birmingham | Hospital records | 242 | 27.7 (24.2, 31.2) | ||
Gourley et al. [75] | 1 August 1993 | Northern Ireland | Hospital records | 408 | 25.4 (22.1, 28.7)a | ||
Nightingale et al. [76] | 1992–98 | Whole UK | CPRD | 1538 | 25.0 (23.4, 26.7) [1992] | ||
40.7 (37.6, 43.8) [1998] | |||||||
Rees et al. [1] | 1999–2012 | Whole UK | CPRD | 1875 | 65.0 (62.1, 67.9) [1999]a | ||
4413 | 97.0 (94.2, 99.9) [2012]a | ||||||
North America | Canada | Peschken et al. [77] | 1996 | Manitoba | Medical records | 257 | 22.1 (13.2, 32.4) |
Bernatsky et al. [32] | 2003 | Quebec | Physician billing and hospitalization databases | 3825 | 44.7 (37.4, 54.7)a | ||
USA | Siegel et al. [58] | 1959 | New York | Hospital records | – | 5 | |
Fessel [34] | 1973 | San Francisco | Hospital records | 64 | 50.8 | ||
Serdula et al. [78] | 1975 | Oahu, Hawaii | Hospital records | 81 | 15.3a | ||
Michet et al. [36] | 1 January 1980 | Minnesota | Hospital records | 20 | 40.0 (23.5, 57.5) | ||
Uramoto et al. [38] | 1 January 1993 | Minnesota | Hospital records | – | 122 (97, 217)a | ||
Maskarinec et al. [79] | 1989 | Hawaii | 454 | 41.8 | |||
Post et al. [80] | 1996 | California | Postal survey | 20 | 68.2 | ||
Balluz et al. [81] | 1997 | Arizona | Hospital and community records | 20 | 103 (56, 149) | ||
Ward [62] | 1988–94 | National | US National health survey | 40 | 241 (130, 352) | ||
Naleway et al. [39] | 2001 | Wisconsin | Medical records | 64 | 78.5 (59.0, 98.0)a | ||
Chakravarty et al. [82] | 2000 | California and Pennsylvania | Hospitalization databases | – | California: 107.6 (106.1, 109.2)a | ||
Pennsylvania: 149.5 (146.9, 152.2)a | |||||||
Feldman et al. [8] | 2000–04 | National | Medicaid database | 34339 | 143.7 (142.2, 145.3) | ||
Furst et al. [40] | 2003–08 | National | Medical claims database | 15396 | 81.1 (78.5, 83.6) [2003] | ||
102.9 (100.4, 105.5) [2008] | |||||||
Lim et al. [41] | 2002 | Georgia | Georgia Lupus registry | 1156 | 73.0 (68.9, 77.4)a | ||
Somers et al. [42] | 2002–04 | Michigan | Medical records | 2139 | 72.8 (70.8, 74.8)a | ||
Jarukitsopa et al. [43] | 1 January 2006 | Rochester, MN | Rochester epidemiology project database | 72 | 53.5 (41.1, 65.9) | ||
Central America | Caribbean | Nossent [44] | 1 January 1990 | Curaçao | Medical records | 69 | 47.6 (34.1, 51.1) |
Deligny et al. [45] | 1999 | Martinique | Medical records | 245 | 64.2 (56.2, 72.2) | ||
Molina et al. [83] | 2003 | Puerto Rico | Private health insurance database | 877 | 159 | ||
Reyes-Llerena et al. [84] | – | Havana, Cuba | WHO-ILAR COPCORD study | 2 | 60 (10, 200) | ||
Flower et al. [46] | 31 October 2009 | Barbados | National hospital-based SLE registry | 226 | 84.1 (73.5, 95.8) | ||
Mexico | Peláez-Ballestas et al. [85] | – | Five regions in Mexico | WHO-ILAR COPCORD study | – | 60 (30, 100)a | |
South America | Argentina | Scolnik et al. [47] | 1 January 2009 | Buenos Aires | Private medical care database | 75 | 58.6 (46.1, 73.5) |
Brazil | Rodrigues Senna et al. [86] | – | Montes Claros City | WHO-ILAR COPCORD study | 3 | 98 (20, 280) | |
Venezuela | Granados et al. [87] | 2011 | Monagos | WHO-ILAR COPCORD study | 3 | 70 (10, 200) | |
Asia | China | Wigley et al. [88] | – | North (near Beijing) | WHO-ILAR COPCORD study | North: 3 | 10 |
South: 1 | 20 | ||||||
South (near Shantou) | |||||||
Li et al. [89] | – | Beijing | Community survey | 3 | 30 (0, 60) | ||
India | Malaviya et al. [90] | – | Delhi | Community survey | 3 | 3.2 (0, 6.86) | |
Iran | Davatchi et al. [91] | September 2005 | Tehran city | WHO-ILAR COPCORD study | 3 | 40 | |
Davatchi et al. [92] | September 2006 | Five villages in NW Iran | WHO-ILAR COPCORD study | 1 | 60 (6, 670) | ||
Kazakhstan | Nasonov et al. [10] | 31 December 2010 | Semey | Hospital records | 52 | 17.3 (12.9, 22.6)a | |
Malaysia | Wang et al. [93] | 1974–90 | Kuala Lumpur | Hospital records | 539 | 43 | |
Pakistan | Farooqi et al. [94] | – | North | WHO-ILAR COPCORD study | 1 | 50 | |
Russia | Nasonov et al. [10] | 31 December 2010 | Kursk and Yaroslavl | Hospital records | 79 | 7.7 (6.1, 9.7)a | |
South Korea | Ju et al. [95] | 2004–06 | National | National Health Insurance database | 9000–11000 | 18.8, 21.7 | |
Shim et al. [51] | 2006–10 | National | National Health Insurance database | 10080 | 20.6 (20.2, 21.0) [2006] | ||
13316 | 26.5 (26.0, 27.0) [2010] | ||||||
Taiwan | Chou et al. [96] | – | Cu-Tien | Community survey | 1 | 33 | |
Chiu et al. [52] | 2000–07 | National | National Health Insurance database | 15463 | 42.2 [2000] | ||
67.4 [2007] | |||||||
Kang et al. [53] | 31 December 2005 | National | National Health Insurance database | 15753 | 69.3 | ||
Yu et al. [54] | 2000 | National | National Health Insurance database | 356 | 37.0 (10.0, 41.0) | ||
Yeh et al. [55] | 2003 | National | Catastrophic illness database | 133488 | 97.5 | ||
2008 | |||||||
See et al. [56] | 2005 | National | National Health Insurance database | 435 | 43.5 (39.4, 47.6) | ||
Ukraine | Nasonov et al. [10] | 31 December 2010 | Vinnitsa | Hospital records | 45 | 12.2 (8.9, 16.4)a | |
Australasia | Australia | Anstey et al. [57] | 1January 1991 | Northern Territory. | Hospital records | 22 | 52 |
Grennan et al. [97] | 1993 | Queensland Sydney | Hospital records | Queensland: 20 | 89 | ||
Sydney: 3 | 13 | ||||||
Bossingham [98] | 1 August 1996 to 31 August 1998 | Far North Queensland | Hospital records | 108 | 45.3 | ||
Minaur et al. [61] | January 2002 | Yarrabah, North Queensland | WHO-ILAR COPCORD study | 0 | 0 | ||
New Zealand | Meddings et al. [99] | – | Dunedin | Hospital records | 16 | 14.7 | |
Hart et al. [100] | 1980 | Auckland | Hospital records | 136 | 17.6a |
Continent . | Country . | References . | Study period . | Region . | Case-finding method . | Prevalent cases . | Prevalence, per 100 000 (95% CI) [year of study] . |
---|---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | 1 January 1995 | Funen | Hospital and community records | 84 | 22.2a |
Laustrup et al. [11] | 1 January 2003 | Funen | Hospital and community records | 109 | 28.3 (23.3, 34.2) | ||
Eaton et al. [63] | 31 October 2006 | National | National hospital patient registry | – | 48 | ||
Hermansen et al. [12] | 31 Decmeber 2011 | National | National hospital patient registry | 1887 | 45.2 (43.3, 47.4) | ||
Finland | Helve [64] | December 1978 | National | National hospital discharge database | 1427 | 28 | |
France | Arnaud et al. [13] | 2010 | National | National Health Insurance database | 27 369 | 40.8a | |
Germany | Brinks et al. [65] | 2002 | National | National Health Insurance database | 845 | 36.7 (34.3, 39.3) | |
Greece | Alamanos et al. [15] | 31 December 2001 | North-West | Hospital records | 193 | 38.1 (36.3, 39.9)a | |
Anagnostopoulos et al. [66] | 2008 | Central | Postal survey | 2 | 110 (110, 370) | ||
Iceland | Gudmundsson et al. [16] | 1975–84 | National | Hospital registers | 86 | 35.9a | |
Italy | Benucci et al. [67] | June 2002 | Florence | Community survey | 23 | 71 (49, 92)a | |
Govoni et al. [17] | 2002 | Ferrara | Hospital records | 201 | 57.9 | ||
Sardu et al. [68] | July 2009 | Southern Sardinia | Community records | – | 81 (50, 124) | ||
Tsioni et al. [18] | 31 December 2012 | Valtrompia | Hospital and community records | 44 | 39.2 (28.5, 52.6) | ||
Lithuania | Dadoniene et al. [69] | 2004 | Vilnius | Hospital records and community survey | 76 | 16.2 (12.7, 20.3) | |
Norway | Nossent [19] | 1996 | North | Hospital records | 89 | 49.7 (44.3, 55)a | |
Eilertsen et al. [20] | 2007 | North | Hospital records | 114 | 64.1 | ||
Lerang et al. [21] | 1 January 2008 | Oslo | Hospital records | 238 | 52.8 (45.2, 58.4) | ||
Spain | López et al. [22] | 31 December 2002 | Asturias | Hospital records | 367 | 34.1 (30.6, 37.6) | |
Gómez et al. [23] | December 2003 | Asturias | Hospital records | – | 31.7 (28.3, 35.0) | ||
Alonso et al. [24] | 31 December 2006 | Lugo | Hospital records | 150 | 17.5 (12.6, 24.1)a | ||
Sweden | Leonhardt [7] | 1955 | Malmö | Hospital records | – | 2.9 | |
1958 | 4.5 | ||||||
1961 | 6.0 | ||||||
Nived et al. [70] | 31 December 1982 | Lund and Orup | Hospital and community records | 61 | 39 (30, 48) | ||
Ståhl-Hallengren et al. [6] | 31 December 1986 | Lund and Orup | Hospital and community records | 121 | 42 | ||
162 | 68 | ||||||
31 December 1991 | |||||||
Simard et al. [71] | 1 January 2010 | National | National patient register | 7929 | (46, 85) | ||
Ingvarsson et al. [27] | 31 December 2006 | Lund and Orup | Hospital and community records | 174 | 65 | ||
Turkey | Çakır et al. [72] | – | Havsa | Community survey | 10 | 57 (46, 70)a | |
UK | Hochberg [73] | 1981–82 | Whole UK | Community medical record survey | 20 | 6.5 | |
Samanta et al. [74] | 1986–89 | Leicester | Hospital records | 50 | 26.1 | ||
Hopkinson et al. [28] | 30 April 1990 | Nottingham | Hospital records | 147 | 24.6 (20.6, 28.7)a | ||
Johnson et al. [29] | 1992 | Birmingham | Hospital records | 242 | 27.7 (24.2, 31.2) | ||
Gourley et al. [75] | 1 August 1993 | Northern Ireland | Hospital records | 408 | 25.4 (22.1, 28.7)a | ||
Nightingale et al. [76] | 1992–98 | Whole UK | CPRD | 1538 | 25.0 (23.4, 26.7) [1992] | ||
40.7 (37.6, 43.8) [1998] | |||||||
Rees et al. [1] | 1999–2012 | Whole UK | CPRD | 1875 | 65.0 (62.1, 67.9) [1999]a | ||
4413 | 97.0 (94.2, 99.9) [2012]a | ||||||
North America | Canada | Peschken et al. [77] | 1996 | Manitoba | Medical records | 257 | 22.1 (13.2, 32.4) |
Bernatsky et al. [32] | 2003 | Quebec | Physician billing and hospitalization databases | 3825 | 44.7 (37.4, 54.7)a | ||
USA | Siegel et al. [58] | 1959 | New York | Hospital records | – | 5 | |
Fessel [34] | 1973 | San Francisco | Hospital records | 64 | 50.8 | ||
Serdula et al. [78] | 1975 | Oahu, Hawaii | Hospital records | 81 | 15.3a | ||
Michet et al. [36] | 1 January 1980 | Minnesota | Hospital records | 20 | 40.0 (23.5, 57.5) | ||
Uramoto et al. [38] | 1 January 1993 | Minnesota | Hospital records | – | 122 (97, 217)a | ||
Maskarinec et al. [79] | 1989 | Hawaii | 454 | 41.8 | |||
Post et al. [80] | 1996 | California | Postal survey | 20 | 68.2 | ||
Balluz et al. [81] | 1997 | Arizona | Hospital and community records | 20 | 103 (56, 149) | ||
Ward [62] | 1988–94 | National | US National health survey | 40 | 241 (130, 352) | ||
Naleway et al. [39] | 2001 | Wisconsin | Medical records | 64 | 78.5 (59.0, 98.0)a | ||
Chakravarty et al. [82] | 2000 | California and Pennsylvania | Hospitalization databases | – | California: 107.6 (106.1, 109.2)a | ||
Pennsylvania: 149.5 (146.9, 152.2)a | |||||||
Feldman et al. [8] | 2000–04 | National | Medicaid database | 34339 | 143.7 (142.2, 145.3) | ||
Furst et al. [40] | 2003–08 | National | Medical claims database | 15396 | 81.1 (78.5, 83.6) [2003] | ||
102.9 (100.4, 105.5) [2008] | |||||||
Lim et al. [41] | 2002 | Georgia | Georgia Lupus registry | 1156 | 73.0 (68.9, 77.4)a | ||
Somers et al. [42] | 2002–04 | Michigan | Medical records | 2139 | 72.8 (70.8, 74.8)a | ||
Jarukitsopa et al. [43] | 1 January 2006 | Rochester, MN | Rochester epidemiology project database | 72 | 53.5 (41.1, 65.9) | ||
Central America | Caribbean | Nossent [44] | 1 January 1990 | Curaçao | Medical records | 69 | 47.6 (34.1, 51.1) |
Deligny et al. [45] | 1999 | Martinique | Medical records | 245 | 64.2 (56.2, 72.2) | ||
Molina et al. [83] | 2003 | Puerto Rico | Private health insurance database | 877 | 159 | ||
Reyes-Llerena et al. [84] | – | Havana, Cuba | WHO-ILAR COPCORD study | 2 | 60 (10, 200) | ||
Flower et al. [46] | 31 October 2009 | Barbados | National hospital-based SLE registry | 226 | 84.1 (73.5, 95.8) | ||
Mexico | Peláez-Ballestas et al. [85] | – | Five regions in Mexico | WHO-ILAR COPCORD study | – | 60 (30, 100)a | |
South America | Argentina | Scolnik et al. [47] | 1 January 2009 | Buenos Aires | Private medical care database | 75 | 58.6 (46.1, 73.5) |
Brazil | Rodrigues Senna et al. [86] | – | Montes Claros City | WHO-ILAR COPCORD study | 3 | 98 (20, 280) | |
Venezuela | Granados et al. [87] | 2011 | Monagos | WHO-ILAR COPCORD study | 3 | 70 (10, 200) | |
Asia | China | Wigley et al. [88] | – | North (near Beijing) | WHO-ILAR COPCORD study | North: 3 | 10 |
South: 1 | 20 | ||||||
South (near Shantou) | |||||||
Li et al. [89] | – | Beijing | Community survey | 3 | 30 (0, 60) | ||
India | Malaviya et al. [90] | – | Delhi | Community survey | 3 | 3.2 (0, 6.86) | |
Iran | Davatchi et al. [91] | September 2005 | Tehran city | WHO-ILAR COPCORD study | 3 | 40 | |
Davatchi et al. [92] | September 2006 | Five villages in NW Iran | WHO-ILAR COPCORD study | 1 | 60 (6, 670) | ||
Kazakhstan | Nasonov et al. [10] | 31 December 2010 | Semey | Hospital records | 52 | 17.3 (12.9, 22.6)a | |
Malaysia | Wang et al. [93] | 1974–90 | Kuala Lumpur | Hospital records | 539 | 43 | |
Pakistan | Farooqi et al. [94] | – | North | WHO-ILAR COPCORD study | 1 | 50 | |
Russia | Nasonov et al. [10] | 31 December 2010 | Kursk and Yaroslavl | Hospital records | 79 | 7.7 (6.1, 9.7)a | |
South Korea | Ju et al. [95] | 2004–06 | National | National Health Insurance database | 9000–11000 | 18.8, 21.7 | |
Shim et al. [51] | 2006–10 | National | National Health Insurance database | 10080 | 20.6 (20.2, 21.0) [2006] | ||
13316 | 26.5 (26.0, 27.0) [2010] | ||||||
Taiwan | Chou et al. [96] | – | Cu-Tien | Community survey | 1 | 33 | |
Chiu et al. [52] | 2000–07 | National | National Health Insurance database | 15463 | 42.2 [2000] | ||
67.4 [2007] | |||||||
Kang et al. [53] | 31 December 2005 | National | National Health Insurance database | 15753 | 69.3 | ||
Yu et al. [54] | 2000 | National | National Health Insurance database | 356 | 37.0 (10.0, 41.0) | ||
Yeh et al. [55] | 2003 | National | Catastrophic illness database | 133488 | 97.5 | ||
2008 | |||||||
See et al. [56] | 2005 | National | National Health Insurance database | 435 | 43.5 (39.4, 47.6) | ||
Ukraine | Nasonov et al. [10] | 31 December 2010 | Vinnitsa | Hospital records | 45 | 12.2 (8.9, 16.4)a | |
Australasia | Australia | Anstey et al. [57] | 1January 1991 | Northern Territory. | Hospital records | 22 | 52 |
Grennan et al. [97] | 1993 | Queensland Sydney | Hospital records | Queensland: 20 | 89 | ||
Sydney: 3 | 13 | ||||||
Bossingham [98] | 1 August 1996 to 31 August 1998 | Far North Queensland | Hospital records | 108 | 45.3 | ||
Minaur et al. [61] | January 2002 | Yarrabah, North Queensland | WHO-ILAR COPCORD study | 0 | 0 | ||
New Zealand | Meddings et al. [99] | – | Dunedin | Hospital records | 16 | 14.7 | |
Hart et al. [100] | 1980 | Auckland | Hospital records | 136 | 17.6a |
Age standardized. CPRD: clinical practice research datalink; WHO-ILAR COPCORD: World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases.
Continent . | Country . | References . | Study period . | Region . | Case-finding method . | Prevalent cases . | Prevalence, per 100 000 (95% CI) [year of study] . |
---|---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | 1 January 1995 | Funen | Hospital and community records | 84 | 22.2a |
Laustrup et al. [11] | 1 January 2003 | Funen | Hospital and community records | 109 | 28.3 (23.3, 34.2) | ||
Eaton et al. [63] | 31 October 2006 | National | National hospital patient registry | – | 48 | ||
Hermansen et al. [12] | 31 Decmeber 2011 | National | National hospital patient registry | 1887 | 45.2 (43.3, 47.4) | ||
Finland | Helve [64] | December 1978 | National | National hospital discharge database | 1427 | 28 | |
France | Arnaud et al. [13] | 2010 | National | National Health Insurance database | 27 369 | 40.8a | |
Germany | Brinks et al. [65] | 2002 | National | National Health Insurance database | 845 | 36.7 (34.3, 39.3) | |
Greece | Alamanos et al. [15] | 31 December 2001 | North-West | Hospital records | 193 | 38.1 (36.3, 39.9)a | |
Anagnostopoulos et al. [66] | 2008 | Central | Postal survey | 2 | 110 (110, 370) | ||
Iceland | Gudmundsson et al. [16] | 1975–84 | National | Hospital registers | 86 | 35.9a | |
Italy | Benucci et al. [67] | June 2002 | Florence | Community survey | 23 | 71 (49, 92)a | |
Govoni et al. [17] | 2002 | Ferrara | Hospital records | 201 | 57.9 | ||
Sardu et al. [68] | July 2009 | Southern Sardinia | Community records | – | 81 (50, 124) | ||
Tsioni et al. [18] | 31 December 2012 | Valtrompia | Hospital and community records | 44 | 39.2 (28.5, 52.6) | ||
Lithuania | Dadoniene et al. [69] | 2004 | Vilnius | Hospital records and community survey | 76 | 16.2 (12.7, 20.3) | |
Norway | Nossent [19] | 1996 | North | Hospital records | 89 | 49.7 (44.3, 55)a | |
Eilertsen et al. [20] | 2007 | North | Hospital records | 114 | 64.1 | ||
Lerang et al. [21] | 1 January 2008 | Oslo | Hospital records | 238 | 52.8 (45.2, 58.4) | ||
Spain | López et al. [22] | 31 December 2002 | Asturias | Hospital records | 367 | 34.1 (30.6, 37.6) | |
Gómez et al. [23] | December 2003 | Asturias | Hospital records | – | 31.7 (28.3, 35.0) | ||
Alonso et al. [24] | 31 December 2006 | Lugo | Hospital records | 150 | 17.5 (12.6, 24.1)a | ||
Sweden | Leonhardt [7] | 1955 | Malmö | Hospital records | – | 2.9 | |
1958 | 4.5 | ||||||
1961 | 6.0 | ||||||
Nived et al. [70] | 31 December 1982 | Lund and Orup | Hospital and community records | 61 | 39 (30, 48) | ||
Ståhl-Hallengren et al. [6] | 31 December 1986 | Lund and Orup | Hospital and community records | 121 | 42 | ||
162 | 68 | ||||||
31 December 1991 | |||||||
Simard et al. [71] | 1 January 2010 | National | National patient register | 7929 | (46, 85) | ||
Ingvarsson et al. [27] | 31 December 2006 | Lund and Orup | Hospital and community records | 174 | 65 | ||
Turkey | Çakır et al. [72] | – | Havsa | Community survey | 10 | 57 (46, 70)a | |
UK | Hochberg [73] | 1981–82 | Whole UK | Community medical record survey | 20 | 6.5 | |
Samanta et al. [74] | 1986–89 | Leicester | Hospital records | 50 | 26.1 | ||
Hopkinson et al. [28] | 30 April 1990 | Nottingham | Hospital records | 147 | 24.6 (20.6, 28.7)a | ||
Johnson et al. [29] | 1992 | Birmingham | Hospital records | 242 | 27.7 (24.2, 31.2) | ||
Gourley et al. [75] | 1 August 1993 | Northern Ireland | Hospital records | 408 | 25.4 (22.1, 28.7)a | ||
Nightingale et al. [76] | 1992–98 | Whole UK | CPRD | 1538 | 25.0 (23.4, 26.7) [1992] | ||
40.7 (37.6, 43.8) [1998] | |||||||
Rees et al. [1] | 1999–2012 | Whole UK | CPRD | 1875 | 65.0 (62.1, 67.9) [1999]a | ||
4413 | 97.0 (94.2, 99.9) [2012]a | ||||||
North America | Canada | Peschken et al. [77] | 1996 | Manitoba | Medical records | 257 | 22.1 (13.2, 32.4) |
Bernatsky et al. [32] | 2003 | Quebec | Physician billing and hospitalization databases | 3825 | 44.7 (37.4, 54.7)a | ||
USA | Siegel et al. [58] | 1959 | New York | Hospital records | – | 5 | |
Fessel [34] | 1973 | San Francisco | Hospital records | 64 | 50.8 | ||
Serdula et al. [78] | 1975 | Oahu, Hawaii | Hospital records | 81 | 15.3a | ||
Michet et al. [36] | 1 January 1980 | Minnesota | Hospital records | 20 | 40.0 (23.5, 57.5) | ||
Uramoto et al. [38] | 1 January 1993 | Minnesota | Hospital records | – | 122 (97, 217)a | ||
Maskarinec et al. [79] | 1989 | Hawaii | 454 | 41.8 | |||
Post et al. [80] | 1996 | California | Postal survey | 20 | 68.2 | ||
Balluz et al. [81] | 1997 | Arizona | Hospital and community records | 20 | 103 (56, 149) | ||
Ward [62] | 1988–94 | National | US National health survey | 40 | 241 (130, 352) | ||
Naleway et al. [39] | 2001 | Wisconsin | Medical records | 64 | 78.5 (59.0, 98.0)a | ||
Chakravarty et al. [82] | 2000 | California and Pennsylvania | Hospitalization databases | – | California: 107.6 (106.1, 109.2)a | ||
Pennsylvania: 149.5 (146.9, 152.2)a | |||||||
Feldman et al. [8] | 2000–04 | National | Medicaid database | 34339 | 143.7 (142.2, 145.3) | ||
Furst et al. [40] | 2003–08 | National | Medical claims database | 15396 | 81.1 (78.5, 83.6) [2003] | ||
102.9 (100.4, 105.5) [2008] | |||||||
Lim et al. [41] | 2002 | Georgia | Georgia Lupus registry | 1156 | 73.0 (68.9, 77.4)a | ||
Somers et al. [42] | 2002–04 | Michigan | Medical records | 2139 | 72.8 (70.8, 74.8)a | ||
Jarukitsopa et al. [43] | 1 January 2006 | Rochester, MN | Rochester epidemiology project database | 72 | 53.5 (41.1, 65.9) | ||
Central America | Caribbean | Nossent [44] | 1 January 1990 | Curaçao | Medical records | 69 | 47.6 (34.1, 51.1) |
Deligny et al. [45] | 1999 | Martinique | Medical records | 245 | 64.2 (56.2, 72.2) | ||
Molina et al. [83] | 2003 | Puerto Rico | Private health insurance database | 877 | 159 | ||
Reyes-Llerena et al. [84] | – | Havana, Cuba | WHO-ILAR COPCORD study | 2 | 60 (10, 200) | ||
Flower et al. [46] | 31 October 2009 | Barbados | National hospital-based SLE registry | 226 | 84.1 (73.5, 95.8) | ||
Mexico | Peláez-Ballestas et al. [85] | – | Five regions in Mexico | WHO-ILAR COPCORD study | – | 60 (30, 100)a | |
South America | Argentina | Scolnik et al. [47] | 1 January 2009 | Buenos Aires | Private medical care database | 75 | 58.6 (46.1, 73.5) |
Brazil | Rodrigues Senna et al. [86] | – | Montes Claros City | WHO-ILAR COPCORD study | 3 | 98 (20, 280) | |
Venezuela | Granados et al. [87] | 2011 | Monagos | WHO-ILAR COPCORD study | 3 | 70 (10, 200) | |
Asia | China | Wigley et al. [88] | – | North (near Beijing) | WHO-ILAR COPCORD study | North: 3 | 10 |
South: 1 | 20 | ||||||
South (near Shantou) | |||||||
Li et al. [89] | – | Beijing | Community survey | 3 | 30 (0, 60) | ||
India | Malaviya et al. [90] | – | Delhi | Community survey | 3 | 3.2 (0, 6.86) | |
Iran | Davatchi et al. [91] | September 2005 | Tehran city | WHO-ILAR COPCORD study | 3 | 40 | |
Davatchi et al. [92] | September 2006 | Five villages in NW Iran | WHO-ILAR COPCORD study | 1 | 60 (6, 670) | ||
Kazakhstan | Nasonov et al. [10] | 31 December 2010 | Semey | Hospital records | 52 | 17.3 (12.9, 22.6)a | |
Malaysia | Wang et al. [93] | 1974–90 | Kuala Lumpur | Hospital records | 539 | 43 | |
Pakistan | Farooqi et al. [94] | – | North | WHO-ILAR COPCORD study | 1 | 50 | |
Russia | Nasonov et al. [10] | 31 December 2010 | Kursk and Yaroslavl | Hospital records | 79 | 7.7 (6.1, 9.7)a | |
South Korea | Ju et al. [95] | 2004–06 | National | National Health Insurance database | 9000–11000 | 18.8, 21.7 | |
Shim et al. [51] | 2006–10 | National | National Health Insurance database | 10080 | 20.6 (20.2, 21.0) [2006] | ||
13316 | 26.5 (26.0, 27.0) [2010] | ||||||
Taiwan | Chou et al. [96] | – | Cu-Tien | Community survey | 1 | 33 | |
Chiu et al. [52] | 2000–07 | National | National Health Insurance database | 15463 | 42.2 [2000] | ||
67.4 [2007] | |||||||
Kang et al. [53] | 31 December 2005 | National | National Health Insurance database | 15753 | 69.3 | ||
Yu et al. [54] | 2000 | National | National Health Insurance database | 356 | 37.0 (10.0, 41.0) | ||
Yeh et al. [55] | 2003 | National | Catastrophic illness database | 133488 | 97.5 | ||
2008 | |||||||
See et al. [56] | 2005 | National | National Health Insurance database | 435 | 43.5 (39.4, 47.6) | ||
Ukraine | Nasonov et al. [10] | 31 December 2010 | Vinnitsa | Hospital records | 45 | 12.2 (8.9, 16.4)a | |
Australasia | Australia | Anstey et al. [57] | 1January 1991 | Northern Territory. | Hospital records | 22 | 52 |
Grennan et al. [97] | 1993 | Queensland Sydney | Hospital records | Queensland: 20 | 89 | ||
Sydney: 3 | 13 | ||||||
Bossingham [98] | 1 August 1996 to 31 August 1998 | Far North Queensland | Hospital records | 108 | 45.3 | ||
Minaur et al. [61] | January 2002 | Yarrabah, North Queensland | WHO-ILAR COPCORD study | 0 | 0 | ||
New Zealand | Meddings et al. [99] | – | Dunedin | Hospital records | 16 | 14.7 | |
Hart et al. [100] | 1980 | Auckland | Hospital records | 136 | 17.6a |
Continent . | Country . | References . | Study period . | Region . | Case-finding method . | Prevalent cases . | Prevalence, per 100 000 (95% CI) [year of study] . |
---|---|---|---|---|---|---|---|
Europe | Denmark | Voss et al. [5] | 1 January 1995 | Funen | Hospital and community records | 84 | 22.2a |
Laustrup et al. [11] | 1 January 2003 | Funen | Hospital and community records | 109 | 28.3 (23.3, 34.2) | ||
Eaton et al. [63] | 31 October 2006 | National | National hospital patient registry | – | 48 | ||
Hermansen et al. [12] | 31 Decmeber 2011 | National | National hospital patient registry | 1887 | 45.2 (43.3, 47.4) | ||
Finland | Helve [64] | December 1978 | National | National hospital discharge database | 1427 | 28 | |
France | Arnaud et al. [13] | 2010 | National | National Health Insurance database | 27 369 | 40.8a | |
Germany | Brinks et al. [65] | 2002 | National | National Health Insurance database | 845 | 36.7 (34.3, 39.3) | |
Greece | Alamanos et al. [15] | 31 December 2001 | North-West | Hospital records | 193 | 38.1 (36.3, 39.9)a | |
Anagnostopoulos et al. [66] | 2008 | Central | Postal survey | 2 | 110 (110, 370) | ||
Iceland | Gudmundsson et al. [16] | 1975–84 | National | Hospital registers | 86 | 35.9a | |
Italy | Benucci et al. [67] | June 2002 | Florence | Community survey | 23 | 71 (49, 92)a | |
Govoni et al. [17] | 2002 | Ferrara | Hospital records | 201 | 57.9 | ||
Sardu et al. [68] | July 2009 | Southern Sardinia | Community records | – | 81 (50, 124) | ||
Tsioni et al. [18] | 31 December 2012 | Valtrompia | Hospital and community records | 44 | 39.2 (28.5, 52.6) | ||
Lithuania | Dadoniene et al. [69] | 2004 | Vilnius | Hospital records and community survey | 76 | 16.2 (12.7, 20.3) | |
Norway | Nossent [19] | 1996 | North | Hospital records | 89 | 49.7 (44.3, 55)a | |
Eilertsen et al. [20] | 2007 | North | Hospital records | 114 | 64.1 | ||
Lerang et al. [21] | 1 January 2008 | Oslo | Hospital records | 238 | 52.8 (45.2, 58.4) | ||
Spain | López et al. [22] | 31 December 2002 | Asturias | Hospital records | 367 | 34.1 (30.6, 37.6) | |
Gómez et al. [23] | December 2003 | Asturias | Hospital records | – | 31.7 (28.3, 35.0) | ||
Alonso et al. [24] | 31 December 2006 | Lugo | Hospital records | 150 | 17.5 (12.6, 24.1)a | ||
Sweden | Leonhardt [7] | 1955 | Malmö | Hospital records | – | 2.9 | |
1958 | 4.5 | ||||||
1961 | 6.0 | ||||||
Nived et al. [70] | 31 December 1982 | Lund and Orup | Hospital and community records | 61 | 39 (30, 48) | ||
Ståhl-Hallengren et al. [6] | 31 December 1986 | Lund and Orup | Hospital and community records | 121 | 42 | ||
162 | 68 | ||||||
31 December 1991 | |||||||
Simard et al. [71] | 1 January 2010 | National | National patient register | 7929 | (46, 85) | ||
Ingvarsson et al. [27] | 31 December 2006 | Lund and Orup | Hospital and community records | 174 | 65 | ||
Turkey | Çakır et al. [72] | – | Havsa | Community survey | 10 | 57 (46, 70)a | |
UK | Hochberg [73] | 1981–82 | Whole UK | Community medical record survey | 20 | 6.5 | |
Samanta et al. [74] | 1986–89 | Leicester | Hospital records | 50 | 26.1 | ||
Hopkinson et al. [28] | 30 April 1990 | Nottingham | Hospital records | 147 | 24.6 (20.6, 28.7)a | ||
Johnson et al. [29] | 1992 | Birmingham | Hospital records | 242 | 27.7 (24.2, 31.2) | ||
Gourley et al. [75] | 1 August 1993 | Northern Ireland | Hospital records | 408 | 25.4 (22.1, 28.7)a | ||
Nightingale et al. [76] | 1992–98 | Whole UK | CPRD | 1538 | 25.0 (23.4, 26.7) [1992] | ||
40.7 (37.6, 43.8) [1998] | |||||||
Rees et al. [1] | 1999–2012 | Whole UK | CPRD | 1875 | 65.0 (62.1, 67.9) [1999]a | ||
4413 | 97.0 (94.2, 99.9) [2012]a | ||||||
North America | Canada | Peschken et al. [77] | 1996 | Manitoba | Medical records | 257 | 22.1 (13.2, 32.4) |
Bernatsky et al. [32] | 2003 | Quebec | Physician billing and hospitalization databases | 3825 | 44.7 (37.4, 54.7)a | ||
USA | Siegel et al. [58] | 1959 | New York | Hospital records | – | 5 | |
Fessel [34] | 1973 | San Francisco | Hospital records | 64 | 50.8 | ||
Serdula et al. [78] | 1975 | Oahu, Hawaii | Hospital records | 81 | 15.3a | ||
Michet et al. [36] | 1 January 1980 | Minnesota | Hospital records | 20 | 40.0 (23.5, 57.5) | ||
Uramoto et al. [38] | 1 January 1993 | Minnesota | Hospital records | – | 122 (97, 217)a | ||
Maskarinec et al. [79] | 1989 | Hawaii | 454 | 41.8 | |||
Post et al. [80] | 1996 | California | Postal survey | 20 | 68.2 | ||
Balluz et al. [81] | 1997 | Arizona | Hospital and community records | 20 | 103 (56, 149) | ||
Ward [62] | 1988–94 | National | US National health survey | 40 | 241 (130, 352) | ||
Naleway et al. [39] | 2001 | Wisconsin | Medical records | 64 | 78.5 (59.0, 98.0)a | ||
Chakravarty et al. [82] | 2000 | California and Pennsylvania | Hospitalization databases | – | California: 107.6 (106.1, 109.2)a | ||
Pennsylvania: 149.5 (146.9, 152.2)a | |||||||
Feldman et al. [8] | 2000–04 | National | Medicaid database | 34339 | 143.7 (142.2, 145.3) | ||
Furst et al. [40] | 2003–08 | National | Medical claims database | 15396 | 81.1 (78.5, 83.6) [2003] | ||
102.9 (100.4, 105.5) [2008] | |||||||
Lim et al. [41] | 2002 | Georgia | Georgia Lupus registry | 1156 | 73.0 (68.9, 77.4)a | ||
Somers et al. [42] | 2002–04 | Michigan | Medical records | 2139 | 72.8 (70.8, 74.8)a | ||
Jarukitsopa et al. [43] | 1 January 2006 | Rochester, MN | Rochester epidemiology project database | 72 | 53.5 (41.1, 65.9) | ||
Central America | Caribbean | Nossent [44] | 1 January 1990 | Curaçao | Medical records | 69 | 47.6 (34.1, 51.1) |
Deligny et al. [45] | 1999 | Martinique | Medical records | 245 | 64.2 (56.2, 72.2) | ||
Molina et al. [83] | 2003 | Puerto Rico | Private health insurance database | 877 | 159 | ||
Reyes-Llerena et al. [84] | – | Havana, Cuba | WHO-ILAR COPCORD study | 2 | 60 (10, 200) | ||
Flower et al. [46] | 31 October 2009 | Barbados | National hospital-based SLE registry | 226 | 84.1 (73.5, 95.8) | ||
Mexico | Peláez-Ballestas et al. [85] | – | Five regions in Mexico | WHO-ILAR COPCORD study | – | 60 (30, 100)a | |
South America | Argentina | Scolnik et al. [47] | 1 January 2009 | Buenos Aires | Private medical care database | 75 | 58.6 (46.1, 73.5) |
Brazil | Rodrigues Senna et al. [86] | – | Montes Claros City | WHO-ILAR COPCORD study | 3 | 98 (20, 280) | |
Venezuela | Granados et al. [87] | 2011 | Monagos | WHO-ILAR COPCORD study | 3 | 70 (10, 200) | |
Asia | China | Wigley et al. [88] | – | North (near Beijing) | WHO-ILAR COPCORD study | North: 3 | 10 |
South: 1 | 20 | ||||||
South (near Shantou) | |||||||
Li et al. [89] | – | Beijing | Community survey | 3 | 30 (0, 60) | ||
India | Malaviya et al. [90] | – | Delhi | Community survey | 3 | 3.2 (0, 6.86) | |
Iran | Davatchi et al. [91] | September 2005 | Tehran city | WHO-ILAR COPCORD study | 3 | 40 | |
Davatchi et al. [92] | September 2006 | Five villages in NW Iran | WHO-ILAR COPCORD study | 1 | 60 (6, 670) | ||
Kazakhstan | Nasonov et al. [10] | 31 December 2010 | Semey | Hospital records | 52 | 17.3 (12.9, 22.6)a | |
Malaysia | Wang et al. [93] | 1974–90 | Kuala Lumpur | Hospital records | 539 | 43 | |
Pakistan | Farooqi et al. [94] | – | North | WHO-ILAR COPCORD study | 1 | 50 | |
Russia | Nasonov et al. [10] | 31 December 2010 | Kursk and Yaroslavl | Hospital records | 79 | 7.7 (6.1, 9.7)a | |
South Korea | Ju et al. [95] | 2004–06 | National | National Health Insurance database | 9000–11000 | 18.8, 21.7 | |
Shim et al. [51] | 2006–10 | National | National Health Insurance database | 10080 | 20.6 (20.2, 21.0) [2006] | ||
13316 | 26.5 (26.0, 27.0) [2010] | ||||||
Taiwan | Chou et al. [96] | – | Cu-Tien | Community survey | 1 | 33 | |
Chiu et al. [52] | 2000–07 | National | National Health Insurance database | 15463 | 42.2 [2000] | ||
67.4 [2007] | |||||||
Kang et al. [53] | 31 December 2005 | National | National Health Insurance database | 15753 | 69.3 | ||
Yu et al. [54] | 2000 | National | National Health Insurance database | 356 | 37.0 (10.0, 41.0) | ||
Yeh et al. [55] | 2003 | National | Catastrophic illness database | 133488 | 97.5 | ||
2008 | |||||||
See et al. [56] | 2005 | National | National Health Insurance database | 435 | 43.5 (39.4, 47.6) | ||
Ukraine | Nasonov et al. [10] | 31 December 2010 | Vinnitsa | Hospital records | 45 | 12.2 (8.9, 16.4)a | |
Australasia | Australia | Anstey et al. [57] | 1January 1991 | Northern Territory. | Hospital records | 22 | 52 |
Grennan et al. [97] | 1993 | Queensland Sydney | Hospital records | Queensland: 20 | 89 | ||
Sydney: 3 | 13 | ||||||
Bossingham [98] | 1 August 1996 to 31 August 1998 | Far North Queensland | Hospital records | 108 | 45.3 | ||
Minaur et al. [61] | January 2002 | Yarrabah, North Queensland | WHO-ILAR COPCORD study | 0 | 0 | ||
New Zealand | Meddings et al. [99] | – | Dunedin | Hospital records | 16 | 14.7 | |
Hart et al. [100] | 1980 | Auckland | Hospital records | 136 | 17.6a |
Age standardized. CPRD: clinical practice research datalink; WHO-ILAR COPCORD: World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases.
Age and sex
In all studies, prevalence was highest among females, with a female to male ratio ranging between 1.2:1 [86] and 15:1 [46]. As an example, in Birmingham in the UK, Johnson et al. [29] found estimates of 49.6/100 000 (95% CI: 43.2, 56.1) for women compared with 3.6/100 000 (95% CI: 2.0, 6.0) for men in a hospital-based study. A further study in Birmingham, UK in 1996 aimed to identify undiagnosed cases of SLE in the community via a postal questionnaire sent to a random sample of 3500 women aged 18–65 years. This suggested a much greater prevalence in women of 200/100 000 (95% CI: 80, 412) [101] compared with the hospital-based study.
Prevalence curves by age had a similar distribution to that of the incidence data, but with a later peak age. Figure 2B shows the age- and sex-specific prevalence from three papers from selected countries from around the world. Summarizing studies from the UK, the peak age of prevalence was between 45 and 69 years for females and between 40 and 89 years for males [1, 76]. Most worldwide studies confirmed the delayed peak age of incidence in males apart from two studies from Scandinavia, which found a lower peak age in men [21, 70].
Ethnicity
Similar to the incidence data, Black ethnic groups had the highest reported prevalence of SLE, White groups the lowest and Asian and Hispanic groups were intermediate for both males and females. As an example, the prevalence in different ethnic groups in the UK is summarized in Table 4.
References . | Region . | Prevalence per 100 000 (95% CI) . | |||
---|---|---|---|---|---|
Black . | Asian . | White . | Chinese . | ||
Samanta et al. [102] | Leicester | – | 40a | 20a | – |
Samanta et al. [74] | Leicester | – | 64.0a | 20.2 | – |
Hopkinson et al. [59] | Nottingham | 207.0 | 48.8a | 20.3a | 92.9a |
Johnson et al. [29] | Birmingham | 197.2 | 96.5a | 36.3a | – |
Rees et al. [1] | National | African: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8) | Indian: 193.1 (140.8, 258.4) | 134.5 (128.2, 141.1) | 188.39 (90.3, 346.5) |
References . | Region . | Prevalence per 100 000 (95% CI) . | |||
---|---|---|---|---|---|
Black . | Asian . | White . | Chinese . | ||
Samanta et al. [102] | Leicester | – | 40a | 20a | – |
Samanta et al. [74] | Leicester | – | 64.0a | 20.2 | – |
Hopkinson et al. [59] | Nottingham | 207.0 | 48.8a | 20.3a | 92.9a |
Johnson et al. [29] | Birmingham | 197.2 | 96.5a | 36.3a | – |
Rees et al. [1] | National | African: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8) | Indian: 193.1 (140.8, 258.4) | 134.5 (128.2, 141.1) | 188.39 (90.3, 346.5) |
Age-standardized.
References . | Region . | Prevalence per 100 000 (95% CI) . | |||
---|---|---|---|---|---|
Black . | Asian . | White . | Chinese . | ||
Samanta et al. [102] | Leicester | – | 40a | 20a | – |
Samanta et al. [74] | Leicester | – | 64.0a | 20.2 | – |
Hopkinson et al. [59] | Nottingham | 207.0 | 48.8a | 20.3a | 92.9a |
Johnson et al. [29] | Birmingham | 197.2 | 96.5a | 36.3a | – |
Rees et al. [1] | National | African: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8) | Indian: 193.1 (140.8, 258.4) | 134.5 (128.2, 141.1) | 188.39 (90.3, 346.5) |
References . | Region . | Prevalence per 100 000 (95% CI) . | |||
---|---|---|---|---|---|
Black . | Asian . | White . | Chinese . | ||
Samanta et al. [102] | Leicester | – | 40a | 20a | – |
Samanta et al. [74] | Leicester | – | 64.0a | 20.2 | – |
Hopkinson et al. [59] | Nottingham | 207.0 | 48.8a | 20.3a | 92.9a |
Johnson et al. [29] | Birmingham | 197.2 | 96.5a | 36.3a | – |
Rees et al. [1] | National | African: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8) | Indian: 193.1 (140.8, 258.4) | 134.5 (128.2, 141.1) | 188.39 (90.3, 346.5) |
Age-standardized.
In addition to the studies in Table 4, a study of women aged 15–64 years in South London estimated the prevalence of SLE to be 177/100 000 (95% CI: 135, 220) in Afro-Caribbean people and 110/100 000 (95% CI: 58, 163) in West African people compared with 35/100 000 (95% CI: 26, 43) in White European people [103]. Studies from the USA have also confirmed the difference between Black and White populations [8, 33], with intermediate figures for Hispanic, Asian and native North Americans. A study from Hawaii had the greatest ethnic diversity [78]. Here, Chinese and native Hawaiian groups were most prevalent (24.1 and 20.4/100 000, respectively) and Whites least prevalent (5.8/100 000; 95% CI not given). In the same study, White people had a significantly older mean age of disease prevalence of 38.1 years, compared with 29.7 years overall.
Temporal trend
There appeared to be a trend for increasing prevalence with time (Fig. 3B). In the UK, the crude annual prevalence of SLE reported by Nightingale et al. [76] increased from 25/100 000 (95% CI: 23.4, 26.7) in 1992 to 40.7/100 000 (95% CI: 37.6, 43.8) in 1998. A subsequent study by Rees et al. [1] confirmed this trend and found that prevalence rose annually by 3.1% from 1999 to 2012, which was statistically significant. In Malmö, Sweden the prevalence rose from 2.9/100 000 in 1955 to 6.0/100 000 in 1961 [7] and in Lund and Orup from 39/100 000 (95% CI: 30, 48) on 31 December 1982 [70] to 68/100 000 on 31 December 1991 [6]. The same trend was found in Northern Norway [11, 20] and Minnesota [36, 38].
Discussion
There are five main findings from this systematic review: there is worldwide variation in the reported incidence and prevalence of SLE; in all nationalities, there is a female predominance; there is a peak age of incidence, which occurs in middle-aged adults; Black ethnic groups have the highest incidence and prevalence and White ethnic groups have the lowest; and there appears to be an increasing trend in the prevalence of SLE with time.
The geographical variation could reflect differences in the genetic mix of populations or variation in environmental exposures; for example, countries nearer the equator are exposed to more ultraviolet radiation, which has been hypothesized to be an environmental trigger for SLE [104, 105]. The variation could also be attributable to differences in the epidemiological study methods used, the diagnosis rates of SLE in each country, the diagnostic criteria used, access to health care, access to immunology laboratory tests and differing thresholds for positive results, the decade the study was carried out, whether the rates were age adjusted and, if not age adjusted, the underlying population structures. For example, the incidence of SLE in Zimbabwe was one of the lowest worldwide. This may have been underestimated because the data were collected retrospectively, relied on the attendance of people with SLE at one of the study hospitals during the study period, it was not an age-adjusted rate, and life expectancy is lower in Zimbabwe such that the peak age of onset may exceed the average life expectancy. Likewise, the low prevalence found in Australia may be attributable to the fact that it was a small community survey of Australian Aboriginal people in Yarrabah, North Queensland and was underpowered to detect any SLE cases. The North American estimate of SLE incidence of 23.2/100 000 person-years may be overestimated because it is significantly higher than all the other USA estimates. This may be because it is an unadjusted rate or may reflect methodological differences rather than genetic or environmental differences in the population at risk. This study used the Medicaid database, which may have self-selected people with a chronic disease such as SLE, who may be overrepresented in Medicaid, and hence increased the estimate. It should be emphasized that Fig. 1 used data from different decades and from studies using different case-ascertainment methods so should be interpreted with caution.
In common with other conditions that display autoimmune features, SLE is universally more common in females. This could relate both to possession of the double X chromosome and to differences in oestrogen levels, which modulate immune responses [106, 107]. Hormonal changes have been hypothesized to explain the peak incidence in women in young to middle adulthood compared with childhood and older adulthood. However, this explanation cannot fully explain why the peak in incidence extends into the post-menopausal age group [2] unless there is a longer latency between the rise in oestrogen levels, the triggering of the autoimmune pathway and the development of clinical disease in some women.
Incidence and prevalence peak in middle age. Most worldwide studies confirmed the delayed peak age of prevalence in males. Interestingly, two studies from Scandinavia found a lower peak age in men [21, 70]; however, this could be attributable to the small numbers of males in these studies (24 males in the study by Nived et al. [70] and nine males in the study by Lerang et al. [21]).
The majority of studies that compared ethnic differences found Black people to have high incidence and prevalence of SLE, White people to have low and Hispanic and Asian people to have intermediate incidence and prevalence of SLE. However, most of these studies were performed in the USA and Europe. Interestingly, the study of Black Africans in Zimbabwe [9] had a low incidence of SLE. As discussed above, this may have been underestimated. Alternatively, it may be that the incidence and prevalence of SLE is higher in Black populations who have emigrated out of Africa because of differences in gene–environment interactions. This is a hypothesis being explored in the Gullah population in South Carolina compared with people from their ancestral origin in Sierra Leone [108, 109]. Further high-quality epidemiological studies in Africa would also help to address this question. This is challenging in a resource-limited system, where health-care systems are constrained, but could be achieved using the approach used by the WHO-ILAR COPCORD [110].
It is not possible directly to compare the change in incidence and prevalence between studies in the same country that have used different study methods or case definitions; for example, in the UK Nightingale et al. [76, 30] used a stricter definition of SLE than Somers et al. [31] or Rees et al. [1]. The majority of those studies that have looked at the same population using the same methods over time have shown an increasing incidence and prevalence, except for the most recent studies from the UK and the USA, which showed a reduction in incidence. These may be true increases in incidence and prevalence over time, for example, because of an increase in risk factors for SLE and improved survival, or they may be artefactual because of improved diagnosis of people with SLE or better case-ascertainment methods in the study design. Owing to increasing globalization, it is also possibly attributable to net immigration of non-White populations into areas that were previously predominantly White. The recent reductions in incidence in the UK and the USA may therefore reflect changes in environmental risk factors, such as reduced smoking or changes in migration patterns, or perhaps suggest that the risk in later generations of migrants regresses towards the country’s mean. It is important to study these temporal changes so that future health services can be planned to meet the needs of the populations.
A potential limitation of this study was that, firstly, for completeness, all eligible studies were included regardless of size or quality. There is therefore a risk of bias affecting the cumulative evidence. In general, earlier studies were less rigorous than more recent studies and there was greater funding of studies in more developed countries. Secondly, as discussed, it is difficult to assess trend over time between studies that have used different methodologies. Future work should consider study design to enable exploration of temporal trends.
Conclusions
In summary, there is wide geographical variation in the reported incidence and prevalence of SLE. North America had the highest reported incidence and prevalence of SLE, Africa had the lowest incidence and Australia the lowest prevalence. The incidence and prevalence of SLE is higher in females compared with males regardless of age or ethnic origin. The incidence and prevalence are age related, and there is a peak incidence and prevalence for both sex. Males have an older peak age of incidence and prevalence compared with females. In general, people of Black ethnicity have the highest incidence and prevalence of SLE worldwide, followed by Asian and then White ethnic groups. There appears to be a trend of increasing prevalence of SLE with time; the trend for incidence is less clear. Further work to address the lack of epidemiological studies of SLE in Africa, for example using the WHO-ILAR COPCORD approach, may further knowledge underpinning ethnic variation in SLE.
Funding: We would like to thank Lupus UK for funding towards this project.
Disclosure statement: The authors have declared no conflicts of interest.
Supplementary data
Supplementary data are available at Rheumatology Online.
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