Association between knee symptoms, change in knee symptoms over 6–9 years, and SF-6D health state utility among middle-aged Australians | mijn-bsl Skip to main content

Mijn bibliotheek

Shop

Nieuws
Boeken
Tijdschriften
E-learning
Web-tv
Video
Audio

Tips voor Mijn BSL

UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 9/2021

03-05-2021

Association between knee symptoms, change in knee symptoms over 6–9 years, and SF-6D health state utility among middle-aged Australians

Auteurs: Ambrish Singh, Julie A. Campbell, Alison Venn, Graeme Jones, Leigh Blizzard, Andrew J. Palmer, Terence Dwyer, Flavia Cicuttini, Changhai Ding, Benny Antony

Gepubliceerd in: Quality of Life Research | Uitgave 9/2021

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Objectives

Health state utilities (HSUs) are an input metric for estimating quality-adjusted life-years (QALY) in cost–utility analyses. Currently, there is a paucity of data on association of knee symptoms with HSUs for middle-aged populations. We aimed to describe the association of knee symptoms and change in knee symptoms with SF-6D HSUs and described the distribution of HSUs against knee symptoms’ severity.

Methods

Participants (36–49-years) were selected from the third follow-up (completed 2019) of Australian Childhood Determinants of Adult Health study. SF-6D HSUs were generated from the participant-reported SF-12. Association between participant-reported WOMAC knee symptoms’ severity, change in knee symptoms over 6–9 years, and HSUs were evaluated using linear regression models.

Results

For the cross-sectional analysis, 1,567 participants were included; mean age 43.5 years, female 54%, BMI ± SD 27.18 ± 5.31 kg/m2. Mean ± SD HSUs for normal, moderate, and severe WOMAC scores were 0.820 ± 0.120, 0.800 ± 0.120, and 0.740 ± 0.130, respectively. A significant association was observed between worsening knee symptoms and HSUs in univariable and multivariable analyses after adjustment (age and sex). HSU decrement for normal-to-severe total-WOMAC and WOMAC-pain was − 0.080 (95% CI − 0.100 to − 0.060, p < 0.01) and − 0.067 (− 0.085 to − 0.048, p < 0.01), exceeding the mean minimal clinically important difference (0.04). Increase in knee pain over 6–9 years was associated with a significant reduction in HSU.

Conclusion

In a middle-aged population-based sample, there was an independent negative association between worse knee symptoms and SF-6D HSUs. Our findings may be used by decision-makers to define more realistic and conservative baseline and ongoing HSU values when assessing QALY changes associated with osteoarthritis interventions.
vorige artikel Comparison of EQ-5D-3L and metabolic components between patients with hyperhidrosis and the general population: a propensity score matching analysis
volgende artikel The impact of idiopathic pulmonary fibrosis on health state utility values: evidence from Australia
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
Woolf, A. D., & Pfleger, B. (2003). Burden of major musculoskeletal conditions. Bulletin of the World Health Organization, 81(9), 646–656 PubMedPubMedCentral
2.
Muraki, S., Akune, T., Oka, H., En-yo, Y., Yoshida, M., Saika, A., et al. (2010). Impact of knee and low back pain on health-related quality of life in Japanese women: The Research on Osteoarthritis Against Disability (ROAD). Modern Rheumatology., 20(5), 444–451 PubMedCrossRef
3.
Nguyen, U. S. D. T., Zhang, Y., Zhu, Y., Niu, J., Zhang, B., & Felson, D. T. (2011). Increasing prevalence of knee pain and symptomatic knee osteoarthritis: Survey and cohort data. Annals of Internal Medicine, 155(11), 725–732 PubMedPubMedCentralCrossRef
4.
Jinks, C., Jordan, K., Ong, B. N., & Croft, P. (2004). A brief screening tool for knee pain in primary care (KNEST). 2. Results from a survey in the general population aged 50 and over. Rheumatology (Oxford), 43(1), 55–61 CrossRef
5.
Health AIo, Welfare. (2019). Osteoarthritis. AIHW.
6.
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., et al. (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1204–1222 CrossRef
7.
Gaskin, D. J., & Richard, P. (2012). The economic costs of pain in the United States. The Journal of Pain, 13(8), 715–724 PubMedCrossRef
8.
Bindawas, S. M., Vennu, V., & Al, S. S. (2015). Differences in health-related quality of life among subjects with frequent bilateral or unilateral knee pain: Data from the Osteoarthritis Initiative study. Journal of Orthopaedic and Sports Physical Therapy, 45(2), 128–136 CrossRef
9.
Hunter, D. J., Nicolson, P. J. A., Little, C. B., Robbins, S. R., Wang, X., & Bennell, K. L. (2019). Developing strategic priorities in osteoarthritis research: Proceedings and recommendations arising from the 2017 Australian Osteoarthritis Summit. BMC Musculoskeletal Disorders, 20(1), 74 PubMedPubMedCentralCrossRef
10.
Xie, F., Kovic, B., Jin, X., He, X., Wang, M., & Silvestre, C. (2016). Economic and humanistic burden of osteoarthritis: A systematic review of large sample studies. PharmacoEconomics, 34(11), 1087–1100 PubMedCrossRef
11.
Arden, N., Blanco, F., Cooper, C., Guermazi, A., Hayashi, D., Hunter, D., et al. (2014). Atlas of osteoarthritis. (1st ed.). Springer Healthcare Communications.
12.
Salaffi, F., Carotti, M., & Grassi, W. (2005). Health-related quality of life in patients with hip or knee osteoarthritis: Comparison of generic and disease-specific instruments. Clinical Rheumatology, 24(1), 29–37 PubMedCrossRef
13.
Pang, J., Cao, Y. L., Zheng, Y. X., Gao, N. Y., Wang, X. Z., Chen, B., et al. (2015). Influence of pain severity on health-related quality of life in Chinese knee osteoarthritis patients. International Journal of Clinical and Experimental Medicine, 8(3), 4472–4479 PubMedPubMedCentral
14.
Kiadaliri, A. A., Lamm, C. J., de Verdier, M. G., Engström, G., Turkiewicz, A., Lohmander, L. S., et al. (2016). Association of knee pain and different definitions of knee osteoarthritis with health-related quality of life: A population-based cohort study in southern Sweden. Health and Quality of Life Outcomes, 14(1), 121 PubMedPubMedCentralCrossRef
15.
Törmälehto, S., Mononen, M. E., Aarnio, E., Arokoski, J. P., Korhonen, R. K., & Martikainen, J. (2018). Health-related quality of life in relation to symptomatic and radiographic definitions of knee osteoarthritis: Data from Osteoarthritis Initiative (OAI) 4-year follow-up study. Health and Quality of Life Outcomes, 16(1), 154 PubMedPubMedCentralCrossRef
16.
Bindawas, S. M., Vennu, V., & Auais, M. (2015). Health-related quality of life in older adults with bilateral knee pain and back pain: Data from the Osteoarthritis Initiative. Rheumatology International, 35(12), 2095–2101 PubMedPubMedCentralCrossRef
17.
Bellamy, N. (2002). WOMAC: A 20-year experiential review of a patient-centered self-reported health status questionnaire. Journal of Rheumatology, 29(12), 2473–2476
18.
McConnell, S., Kolopack, P., & Davis, A. M. (2001). The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC): A review of its utility and measurement properties. Arthritis and Rheumatism, 45(5), 453–461 PubMedCrossRef
19.
Xie, F., Pullenayegum, E. M., Li, S. C., Hopkins, R., Thumboo, J., & Lo, N. N. (2010). Use of a disease-specific instrument in economic evaluations: Mapping WOMAC onto the EQ-5D utility index. Value in Health, 13(8), 873–878 PubMedCrossRef
20.
Kharroubi, S. A., Brazier, J. E., Roberts, J., & O’Hagan, A. (2007). Modelling SF-6D health state preference data using a nonparametric Bayesian method. Journal of Health Economics, 26(3), 597–612 PubMedCrossRef
21.
Mulhern, B., Feng, Y., Shah, K., Janssen, M. F., Herdman, M., van Hout, B., et al. (2018). Comparing the UK EQ-5D-3L and English EQ-5D-5L value sets. PharmacoEconomics, 36(6), 699–713 PubMedPubMedCentralCrossRef
22.
Richardson, J., Sinha, K., Iezzi, A., & Khan, M. A. (2014). Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D. Quality of Life Research, 23(8), 2395–2404 PubMedCrossRef
23.
Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128 PubMedCrossRef
24.
Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42, 851–859 PubMedCrossRef
25.
Horsman, J., Furlong, W., Feeny, D., & Torrance, G. (2003). The Health Utilities Index (HUI®): Concepts, measurement properties and applications. Health and Quality of Life Outcomes, 1(1), 54 PubMedPubMedCentralCrossRef
26.
Brooks R, Group E. (1996). EuroQol: The current state of play. Health Policy, 37(1), 53–72 CrossRef
27.
Edlin, R., McCabe, C., Hulme, C., Hall, P., & Wright, J. (2015). Cost effectiveness modelling for health technology assessment. Springer.
28.
Muennig, P., & Bounthavong, M. (2016). Cost-effectiveness analysis in health: A practical approach. Wiley.
29.
30.
31.
Torrance, G. W., & Feeny, D. (1989). Utilities and quality-adjusted life years. International Journal of Technology Assessment in Health Care, 5(4), 559–575 PubMedCrossRef
32.
Karmarkar, T. D., Maurer, A., Parks, M. L., Mason, T., Bejinez-Eastman, A., Harrington, M., et al. (2017). A fresh perspective on a familiar problem: Examining disparities in knee osteoarthritis using a Markov model. Medical Care, 55(12), 993 PubMedPubMedCentralCrossRef
33.
Beck, J. R., & Pauker, S. G. (1983). The Markov process in medical prognosis. Medical Decision Making, 3(4), 419–458 PubMedCrossRef
34.
Sonnenberg, F. A., & Beck, J. R. (1993). Markov models in medical decision making: A practical guide. Medical Decision Making, 13(4), 322–338 PubMedCrossRef
35.
36.
Clarke, P. M., Hayes, A. J., Glasziou, P. G., Scott, R., Simes, J., & Keech, A. C. (2009). Using the EQ-5D index score as a predictor of outcomes in patients with type 2 diabetes. Medical Care, 47(1), 61–68 PubMedCrossRef
37.
Skinner, E. H., Denehy, L., Warrillow, S., & Hawthorne, G. (2013). Comparison of the measurement properties of the AQoL and SF-6D in critical illness. Critical Care and Resuscitation, 15(3), 205–212 PubMed
38.
39.
Jinks, C., Jordan, K., & Croft, P. (2002). Measuring the population impact of knee pain and disability with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Pain, 100(1–2), 55–64 PubMedCrossRef
40.
Wilkie, R., Peat, G., Thomas, E., & Croft, P. (2007). Factors associated with restricted mobility outside the home in community-dwelling adults ages fifty years and older with knee pain: An example of use of the International Classification of Functioning to investigate participation restriction. Arthritis and Rheumatism, 57(8), 1381–1389 PubMedCrossRef
41.
Jinks, C., Jordan, K., & Croft, P. (2007). Osteoarthritis as a public health problem: The impact of developing knee pain on physical function in adults living in the community: (KNEST 3). Rheumatology (Oxford), 46(5), 877–881 CrossRef
42.
Fransen, M., Su, S., Harmer, A., Blyth, F. M., Naganathan, V., Sambrook, P., et al. (2013). A longitudinal study of knee pain in older men: Concord Health and Ageing in Men Project. Age and Ageing, 43(2), 206–212 PubMedCrossRef
43.
Woo, J., Leung, J., & Lau, E. (2009). Prevalence and correlates of musculoskeletal pain in Chinese elderly and the impact on 4-year physical function and quality of life. Public Health, 123(8), 549–556 PubMedCrossRef
44.
Venn, A. J., Thomson, R. J., Schmidt, M. D., Cleland, V. J., Curry, B. A., Gennat, H. C., et al. (2007). Overweight and obesity from childhood to adulthood: A follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Medical Journal of Australia, 186(9), 458–460 CrossRef
45.
Magnussen, C. G., Raitakari, O. T., Thomson, R., Juonala, M., Patel, D. A., Viikari, J. S., et al. (2008). Utility of currently recommended pediatric dyslipidemia classifications in predicting dyslipidemia in adulthood: evidence from the Childhood Determinants of Adult Health (CDAH) study, Cardiovascular Risk in Young Finns Study, and Bogalusa Heart Study. Circulation, 117(1), 32–42 PubMedCrossRef
46.
Smith, K. J., Sanderson, K., McNaughton, S. A., Gall, S. L., Dwyer, T., & Venn, A. J. (2014). Longitudinal associations between fish consumption and depression in young adults. American Journal of Epidemiology, 179(10), 1228–1235 PubMedCrossRef
47.
Tian, J., Gall, S., Patterson, K., Otahal, P., Blizzard, L., Patton, G., et al. (2019). Socioeconomic position over the life course from childhood and smoking status in mid-adulthood: Results from a 25-year follow-up study. BMC Public Health, 19(1), 169 PubMedPubMedCentralCrossRef
48.
Tian, J., Venn, A. J., Blizzard, L., Patton, G. C., Dwyer, T., & Gall, S. L. (2016). Smoking status and health-related quality of life: A longitudinal study in young adults. Quality of Life Research, 25(3), 669–685 PubMedCrossRef
49.
Antony, B., Jones, G., Venn, A., Cicuttini, F., March, L., Blizzard, L., et al. (2015). Association between childhood overweight measures and adulthood knee pain, stiffness and dysfunction: A 25-year cohort study. Annals of the Rheumatic Diseases, 74(4), 711–717 PubMedCrossRef
50.
Obese, H. (1998). Body Mass Index (BMI). Obesity Research, 6(2), 51S-209S
51.
World Health Organization. (2000). Obesity: Preventing and managing the global epidemic. World Health Organization.
52.
Heintjes, E., Bierma-Zeinstra, S., Berger, M., & Koes, B. (2008). Lysholm scale and WOMAC index were responsive in prospective cohort of young general practice patients. Journal of Clinical Epidemiology, 61(5), 481–488 PubMedCrossRef
53.
Antony, B., Venn, A., Cicuttini, F., March, L., Blizzard, L., Dwyer, T., et al. (2016). Correlates of knee bone marrow lesions in younger adults. Arthritis Research & Therapy, 18, 31 CrossRef
54.
Zhang, B., Lin, H., Hunter, D. J., Neogi, T., Wise, B., Choy, E., et al. (2009). A multistate transition model for osteoarthritis pain change. Communications in Statistics – Theory and Methods, 38(18), 3297–3306 PubMedPubMedCentralCrossRef
55.
Obradovic, M., Lal, A., & Liedgens, H. (2013). Validity and responsiveness of EuroQol-5 dimension (EQ-5D) versus Short Form-6 dimension (SF-6D) questionnaire in chronic pain. Health and Quality of Life Outcomes, 11(1), 110 PubMedPubMedCentralCrossRef
56.
Campbell, J. A., Jelinek, G. A., Weiland, T. J., Nag, N., Neate, S. L., Palmer, A. J., et al. (2020). SF-6D health state utilities for lifestyle, sociodemographic and clinical characteristics of a large international cohort of people with multiple sclerosis. Quality of Life Research, 29(9), 2509–2527 PubMedCrossRef
57.
Dritsaki, M., Petrou, S., Williams, M., & Lamb, S. E. (2017). An empirical evaluation of the SF-12, SF-6D, EQ-5D and Michigan Hand Outcome Questionnaire in patients with rheumatoid arthritis of the hand. Health and Quality of Life Outcomes, 15(1), 20 PubMedPubMedCentralCrossRef
58.
Jayadevappa, R., Cook, R., & Chhatre, S. (2017). Minimal important difference to infer changes in health-related quality of life—A systematic review. Journal of Clinical Epidemiology, 89, 188–198 PubMedCrossRef
59.
Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532 PubMedCrossRef
60.
Luo, N., Johnson, J. A., & Coons, S. J. (2010). Using instrument-defined health state transitions to estimate minimally important differences for four preference-based health-related quality of life instruments. Medical Care, 48, 365–371 PubMedCrossRef
61.
Lee, B. B., King, M. T., Simpson, J. M., Haran, M. J., Stockler, M. R., Marial, O., et al. (2008). Validity, responsiveness, and minimal important difference for the SF-6D health utility scale in a spinal cord injured population. Value in Health, 11(4), 680–688 PubMedCrossRef
62.
Norman, R., Church, J., van den Berg, B., & Goodall, S. (2013). Australian health-related quality of life population norms derived from the SF-6D. Australian and New Zealand Journal of Public Health, 37(1), 17–23 PubMedCrossRef
63.
64.
65.
Agaliotis, M., Fransen, M., Bridgett, L., Nairn, L., Votrubec, M., Jan, S., et al. (2013). Risk factors associated with reduced work productivity among people with chronic knee pain. Osteoarthritis and Cartilage, 21(9), 1160–1169 PubMedCrossRef
66.
Sayre, E. C., Li, L. C., Kopec, J. A., Esdaile, J. M., Bar, S., & Cibere, J. (2010). The effect of disease site (knee, hip, hand, foot, lower back or neck) on employment reduction due to osteoarthritis. PLoS ONE, 5(5), e10470 PubMedPubMedCentralCrossRef
67.
Hubertsson, J., Petersson, I. F., Thorstensson, C. A., & Englund, M. (2013). Risk of sick leave and disability pension in working-age women and men with knee osteoarthritis. Annals of the Rheumatic Diseases, 72(3), 401–405 PubMedCrossRef
68.
Afzali, T., Fangel, M. V., Vestergaard, A. S., Rathleff, M. S., Ehlers, L. H., & Jensen, M. B. (2018). Cost-effectiveness of treatments for non-osteoarthritic knee pain conditions: A systematic review. PLoS ONE, 13(12), e0209240 PubMedPubMedCentralCrossRef
69.
Ara, R., Brazier, J., & Zouraq, I. A. (2017). The use of health state utility values in decision models. PharmacoEconomics, 35(1), 77–88 PubMedCrossRef
70.
Ara, R., & Brazier, J. E. (2010). Populating an economic model with health state utility values: Moving toward better practice. Value in Health, 13(5), 509–518 PubMedCrossRef
71.
Ara, R., & Wailoo, A. (2012). Using health state utility values in models exploring the cost-effectiveness of health technologies. Value in Health, 15(6), 971–974 PubMedCrossRef
72.
Paxton, E. S., Kymes, S. M., & Brophy, R. H. (2010). Cost-effectiveness of anterior cruciate ligament reconstruction: A preliminary comparison of single-bundle and double-bundle techniques. The American Journal of Sports Medicine, 38(12), 2417–2425 PubMedCrossRef
73.
Brazier, J. (2008). Valuing health states for use in cost-effectiveness analysis. PharmacoEconomics, 26(9), 769–779 PubMedCrossRef
74.
Wilson, R., & Abbott, J. H. (2018). Development and validation of a new population-based simulation model of osteoarthritis in New Zealand. Osteoarthritis Cartilage, 26(4), 531–539 PubMedCrossRef
75.
Abbott, J. H., Usiskin, I. M., Wilson, R., Hansen, P., & Losina, E. (2017). The quality-of-life burden of knee osteoarthritis in New Zealand adults: A model-based evaluation. PLoS ONE, 12(10), e0185676 PubMedPubMedCentralCrossRef
76.
Muraki, S., Akune, T., Oka, H., En-Yo, Y., Yoshida, M., Saika, A., et al. (2011). Health-related quality of life in subjects with low back pain and knee pain in a population-based cohort study of Japanese men: The Research on Osteoarthritis Against Disability study. Spine (Phila Pa 1976), 36(16), 1312–1319 CrossRef
77.
Antonopoulou, M. D., Alegakis, A. K., Hadjipavlou, A. G., & Lionis, C. D. (2009). Studying the association between musculoskeletal disorders, quality of life and mental health. A primary care pilot study in rural Crete, Greece. BMC Musculoskeletal Disorders, 10, 143 PubMedPubMedCentralCrossRef
78.
Norimatsu, T., Osaki, M., Tomita, M., Ye, Z., Abe, Y., Honda, S., et al. (2011). Factors predicting health-related quality of life in knee osteoarthritis among community-dwelling women in Japan: The Hizen-Oshima study. Orthopedics, 34(9), e535–e540 PubMedCrossRef
79.
Hoogeboom, T. J., den Broeder, A. A., de Bie, R. A., & van den Ende, C. H. M. (2013). Longitudinal impact of joint pain comorbidity on quality of life and activity levels in knee osteoarthritis: Data from the Osteoarthritis Initiative. Rheumatology (Oxford, England), 52(3), 543–546 CrossRef
80.
Kauppila, A. M., Kyllonen, E., Mikkonen, P., Ohtonen, P., Laine, V., Siira, P., et al. (2009). Disability in end-stage knee osteoarthritis. Disability and Rehabilitation, 31(5), 370–380 PubMedCrossRef
81.
Adegoke, B. O., Babatunde, F. O., & Oyeyemi, A. L. (2012). Pain, balance, self-reported function and physical function in individuals with knee osteoarthritis. Physiotherapy Theory and Practice, 28(1), 32–40 PubMedCrossRef
82.
Jordan, J., Luta, G., Renner, J., Dragomir, A., Hochberg, M., & Fryer, J. (1997). Knee pain and knee osteoarthritis severity in self-reported task specific disability: The Johnston County Osteoarthritis Project. Journal of Rheumatology, 24(7), 1344–1349
83.
Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010). Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), 1115–1124 PubMedPubMedCentralCrossRef
84.
Lundberg, L., Johannesson, M., Isacson, D. G. L., & Borgquist, L. (1999). Health-state utilities in a general population in relation to age, gender and socioeconomic factors. European Journal of Public Health, 9(3), 211–217 CrossRef
Metagegevens
Titel
Association between knee symptoms, change in knee symptoms over 6–9 years, and SF-6D health state utility among middle-aged Australians
Auteurs
Ambrish Singh
Julie A. Campbell
Alison Venn
Graeme Jones
Leigh Blizzard
Andrew J. Palmer
Terence Dwyer
Flavia Cicuttini
Changhai Ding
Benny Antony
Publicatiedatum
03-05-2021
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-021-02859-5

Andere artikelen Uitgave 9/2021

Quality of Life Research 9/2021 Naar de uitgave

OriginalPaper

Impact of Moringa Oleifera leaves supplementation on quality of life of people living with HIV: A double-blind randomized controlled trial

OriginalPaper

Comparison of EQ-5D-3L and metabolic components between patients with hyperhidrosis and the general population: a propensity score matching analysis

OriginalPaper

PROMIS Global Health: Feasibility in home health

Correction

Correction to: Financial difficulties and patient‑reported outcomes among patients with advanced heart failure

OriginalPaper

Prospective analysis of disability and quality of life in patients with chronic inflammatory demyelinating polyradiculoneuropathy

OriginalPaper

Symptom profiles following combat injury and long-term quality of life: a latent class analysis