Skip to main content
Top
Gepubliceerd in: Quality of Life Research 4/2016

01-04-2016

Mapping chronic liver disease questionnaire scores onto SF-6D utility values in patients with primary sclerosing cholangitis

Auteurs: Evangelos Kalaitzakis, Maria Benito de Valle, Monira Rahman, Björn Lindkvist, Einar Björnsson, Roger Chapman, Nick Kontodimopoulos

Gepubliceerd in: Quality of Life Research | Uitgave 4/2016

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

Abstract

Purpose

The chronic liver disease questionnaire (CLDQ) is a frequently used liver-specific quality of life instrument, but it does not provide information on preference-adjusted health status, which is essential for cost-utility analysis. We aimed to develop a mapping function deriving utilities from the CLDQ in primary sclerosing cholangitis (PSC).

Methods

Short form-6D (SF-6D) utilities were calculated from SF-36 data collected in a recent prospective study in which unselected patients with PSC also completed the CLDQ. Ordinary least squares (OLS), generalized linear, median, and kernel regression analyses were employed to devise a mapping function predicting utilities. This was validated in three random subsamples of the cohort and in a separate sample of PSC patients following liver transplantation. Adjusted R 2 and root-mean-square error (RMSE) as well as Pearson’s r coefficients and mean absolute errors between predicted and observed values were used to determine model performance.

Results

Decompensated liver disease and fatigue, systemic symptoms, and emotional distress, assessed with the CLDQ, were related to worse SF-6D utilities. The final OLS prediction model explained 66.3 % of the variance in the derivation sample. Predicted and observed utilities were strongly correlated (r = 0.807, p < 0.001), but the mean absolute error (0.0604) and adjusted RMSE (10.6 %) were of intermediate size. Similar model characteristics were observed after employment of generalized linear and median regression models and at validation.

Conclusions

A model has been constructed, showing good validity predicting SF-6D utilities from CLDQ scores at the group level in PSC. Further testing is required to externally validate the model.
Literatuur
2.
3.
go back to reference Hauser, W., Holtmann, G., & Grandt, D. (2004). Determinants of health-related quality of life in patients with chronic liver diseases. Clinical Gastroenterology and Hepatology, 2(2), 157–163.CrossRefPubMed Hauser, W., Holtmann, G., & Grandt, D. (2004). Determinants of health-related quality of life in patients with chronic liver diseases. Clinical Gastroenterology and Hepatology, 2(2), 157–163.CrossRefPubMed
4.
go back to reference Benito de Valle, M., Rahman, M., Lindkvist, B., Bjornsson, E., Chapman, R., & Kalaitzakis, E. (2012). Factors that reduce health-related quality of life in patients with primary sclerosing cholangitis. Clinical Gastroenterology and Hepatology, 10(7), 769-775 e762, doi:10.1016/j.cgh.2012.01.025. Benito de Valle, M., Rahman, M., Lindkvist, B., Bjornsson, E., Chapman, R., & Kalaitzakis, E. (2012). Factors that reduce health-related quality of life in patients with primary sclerosing cholangitis. Clinical Gastroenterology and Hepatology, 10(7), 769-775 e762, doi:10.​1016/​j.​cgh.​2012.​01.​025.
5.
go back to reference Ware, J. E, Jr, & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483.CrossRefPubMed Ware, J. E, Jr, & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483.CrossRefPubMed
6.
go back to reference Younossi, Z. M., Guyatt, G., Kiwi, M., Boparai, N., & King, D. (1999). Development of a disease specific questionnaire to measure health related quality of life in patients with chronic liver disease. Gut, 45(2), 295–300.CrossRefPubMedPubMedCentral Younossi, Z. M., Guyatt, G., Kiwi, M., Boparai, N., & King, D. (1999). Development of a disease specific questionnaire to measure health related quality of life in patients with chronic liver disease. Gut, 45(2), 295–300.CrossRefPubMedPubMedCentral
8.
go back to reference Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed
10.
go back to reference Brazier, J. E., Yang, Y., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. The European Journal of Health Economics, 11(2), 215–225. doi:10.1007/s10198-009-0168-z.CrossRefPubMed Brazier, J. E., Yang, Y., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. The European Journal of Health Economics, 11(2), 215–225. doi:10.​1007/​s10198-009-0168-z.CrossRefPubMed
12.
go back to reference Gutteling, J. J., de Man, R. A., van der Plas, S. M., Schalm, S. W., Busschbach, J. J., & Darlington, A. S. (2006). Determinants of quality of life in chronic liver patients. Alimentary Pharmacology & Therapeutics, 23(11), 1629–1635. doi:10.1111/j.1365-2036.2006.02934.x.CrossRef Gutteling, J. J., de Man, R. A., van der Plas, S. M., Schalm, S. W., Busschbach, J. J., & Darlington, A. S. (2006). Determinants of quality of life in chronic liver patients. Alimentary Pharmacology & Therapeutics, 23(11), 1629–1635. doi:10.​1111/​j.​1365-2036.​2006.​02934.​x.CrossRef
14.
go back to reference Russell, R. T., Feurer, I. D., Wisawatapnimit, P., & Pinson, C. W. (2009). The validity of EQ-5D US preference weights in liver transplant candidates and recipients. Liver Transplantation, 15(1), 88–95. doi:10.1002/lt.21648.CrossRefPubMed Russell, R. T., Feurer, I. D., Wisawatapnimit, P., & Pinson, C. W. (2009). The validity of EQ-5D US preference weights in liver transplant candidates and recipients. Liver Transplantation, 15(1), 88–95. doi:10.​1002/​lt.​21648.CrossRefPubMed
15.
go back to reference Dan, A. A., Kallman, J. B., Srivastava, R., Younoszai, Z., Kim, A., & Younossi, Z. M. (2008). Impact of chronic liver disease and cirrhosis on health utilities using SF-6D and the health utility index. Liver Transplantation, 14(3), 321–326. doi:10.1002/lt.21376.CrossRefPubMed Dan, A. A., Kallman, J. B., Srivastava, R., Younoszai, Z., Kim, A., & Younossi, Z. M. (2008). Impact of chronic liver disease and cirrhosis on health utilities using SF-6D and the health utility index. Liver Transplantation, 14(3), 321–326. doi:10.​1002/​lt.​21376.CrossRefPubMed
16.
go back to reference Sullivan, M., Karlsson, J., & Ware, J. E, Jr. (1995). The Swedish SF-36 Health Survey—I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden. Social Science and Medicine, 41(10), 1349–1358.CrossRefPubMed Sullivan, M., Karlsson, J., & Ware, J. E, Jr. (1995). The Swedish SF-36 Health Survey—I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden. Social Science and Medicine, 41(10), 1349–1358.CrossRefPubMed
17.
go back to reference Hauser, W., Schnur, M., Steder-Neukamm, U., Muthny, F. A., & Grandt, D. (2004). Validation of the German version of the chronic liver disease questionnaire. European Journal of Gastroenterology and Hepatology, 16(6), 599–606.CrossRefPubMed Hauser, W., Schnur, M., Steder-Neukamm, U., Muthny, F. A., & Grandt, D. (2004). Validation of the German version of the chronic liver disease questionnaire. European Journal of Gastroenterology and Hepatology, 16(6), 599–606.CrossRefPubMed
18.
go back to reference Rucci, P., Taliani, G., Cirrincione, L., Alberti, A., Bartolozzi, D., Caporaso, N., et al. (2005). Validity and reliability of the Italian version of the chronic liver disease questionnaire (CLDQ-I) for the assessment of health-related quality of life. Digestive and Liver Disease, 37(11), 850–860. doi:10.1016/j.dld.2005.02.014.CrossRefPubMed Rucci, P., Taliani, G., Cirrincione, L., Alberti, A., Bartolozzi, D., Caporaso, N., et al. (2005). Validity and reliability of the Italian version of the chronic liver disease questionnaire (CLDQ-I) for the assessment of health-related quality of life. Digestive and Liver Disease, 37(11), 850–860. doi:10.​1016/​j.​dld.​2005.​02.​014.CrossRefPubMed
19.
go back to reference Ferrer, M., Cordoba, J., Garin, O., Olive, G., Flavia, M., Vargas, V., et al. (2006). Validity of the Spanish version of the chronic liver disease questionnaire (CLDQ) as a standard outcome for quality of life assessment. Liver Transplantation, 12(1), 95–104. doi:10.1002/lt.20551.CrossRefPubMed Ferrer, M., Cordoba, J., Garin, O., Olive, G., Flavia, M., Vargas, V., et al. (2006). Validity of the Spanish version of the chronic liver disease questionnaire (CLDQ) as a standard outcome for quality of life assessment. Liver Transplantation, 12(1), 95–104. doi:10.​1002/​lt.​20551.CrossRefPubMed
22.
go back to reference Liang, F., Liao, M., Mao, K., Mukherjee, S., & West, M. (2007). Non-parametric Bayesian kernel models. Discussion Paper 2007–2010. Durham, NC: Duke University ISDS. Liang, F., Liao, M., Mao, K., Mukherjee, S., & West, M. (2007). Non-parametric Bayesian kernel models. Discussion Paper 20072010. Durham, NC: Duke University ISDS.
24.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
25.
go back to reference Chan, K. K., Willan, A. R., Gupta, M., & Pullenayegum, E. (2014). Underestimation of uncertainties in health utilities derived from mapping algorithms involving health-related quality-of-life measures: statistical explanations and potential remedies. Medical Decision Making, 34(7), 863–872. doi:10.1177/0272989X13517750.CrossRefPubMed Chan, K. K., Willan, A. R., Gupta, M., & Pullenayegum, E. (2014). Underestimation of uncertainties in health utilities derived from mapping algorithms involving health-related quality-of-life measures: statistical explanations and potential remedies. Medical Decision Making, 34(7), 863–872. doi:10.​1177/​0272989X13517750​.CrossRefPubMed
26.
27.
go back to reference Kalaitzakis, E., Josefsson, A., Castedal, M., Henfridsson, P., Bengtsson, M., Hugosson, I., et al. (2012). Factors related to fatigue in patients with cirrhosis before and after liver transplantation. Clinical Gastroenterology and Hepatology, 10(2), 174–181, 181 e171, doi:10.1016/j.cgh.2011.07.029. Kalaitzakis, E., Josefsson, A., Castedal, M., Henfridsson, P., Bengtsson, M., Hugosson, I., et al. (2012). Factors related to fatigue in patients with cirrhosis before and after liver transplantation. Clinical Gastroenterology and Hepatology, 10(2), 174–181, 181 e171, doi:10.​1016/​j.​cgh.​2011.​07.​029.
28.
go back to reference Harrison, M. J., Lunt, M., Verstappen, S. M., Watson, K. D., Bansback, N. J., & Symmons, D. P. (2010). Exploring the validity of estimating EQ-5D and SF-6D utility values from the health assessment questionnaire in patients with inflammatory arthritis. Health Qual Life Outcomes, 8, 21. doi:10.1186/1477-7525-8-21.CrossRefPubMedPubMedCentral Harrison, M. J., Lunt, M., Verstappen, S. M., Watson, K. D., Bansback, N. J., & Symmons, D. P. (2010). Exploring the validity of estimating EQ-5D and SF-6D utility values from the health assessment questionnaire in patients with inflammatory arthritis. Health Qual Life Outcomes, 8, 21. doi:10.​1186/​1477-7525-8-21.CrossRefPubMedPubMedCentral
30.
go back to reference Kontodimopoulos, N., Bozios, P., Yfantopoulos, J., & Niakas, D. (2013). Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients. The European Journal of Health Economics, 14(2), 307–314. doi:10.1007/s10198-012-0376-9.CrossRefPubMed Kontodimopoulos, N., Bozios, P., Yfantopoulos, J., & Niakas, D. (2013). Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients. The European Journal of Health Economics, 14(2), 307–314. doi:10.​1007/​s10198-012-0376-9.CrossRefPubMed
31.
go back to reference Marchesini, G., Bianchi, G., Amodio, P., Salerno, F., Merli, M., Panella, C., et al. (2001). Factors associated with poor health-related quality of life of patients with cirrhosis. Gastroenterology, 120(1), 170–178.CrossRefPubMed Marchesini, G., Bianchi, G., Amodio, P., Salerno, F., Merli, M., Panella, C., et al. (2001). Factors associated with poor health-related quality of life of patients with cirrhosis. Gastroenterology, 120(1), 170–178.CrossRefPubMed
34.
go back to reference Kontodimopoulos, N. (2015). The potential for a generally applicable mapping model between QLQ-C30 and SF-6D in patients with different cancers: A comparison of regression-based methods. Quality of Life Research, 24(6), 1535–1544. doi:10.1007/s11136-014-0857-7.CrossRefPubMed Kontodimopoulos, N. (2015). The potential for a generally applicable mapping model between QLQ-C30 and SF-6D in patients with different cancers: A comparison of regression-based methods. Quality of Life Research, 24(6), 1535–1544. doi:10.​1007/​s11136-014-0857-7.CrossRefPubMed
35.
go back to reference Kharroubi, S. A., O’Hagan, A., & Brazier, J. E. (2005). Estimating utilities from individual health preference data: A nonparametric Bayesian method. Journal of the Royal Statistical Society, 54, 879–895.CrossRef Kharroubi, S. A., O’Hagan, A., & Brazier, J. E. (2005). Estimating utilities from individual health preference data: A nonparametric Bayesian method. Journal of the Royal Statistical Society, 54, 879–895.CrossRef
36.
go back to reference Burden, F., & Winkler, D. (2008). Bayesian regularization of neural networks. Methods in Molecular Biology, 458, 25–44.PubMed Burden, F., & Winkler, D. (2008). Bayesian regularization of neural networks. Methods in Molecular Biology, 458, 25–44.PubMed
37.
go back to reference Lindkvist, B., Benito de Valle, M., Gullberg, B., & Bjornsson, E. (2010). Incidence and prevalence of primary sclerosing cholangitis in a defined adult population in Sweden. Hepatology, 52(2), 571–577. doi:10.1002/hep.23678.CrossRefPubMed Lindkvist, B., Benito de Valle, M., Gullberg, B., & Bjornsson, E. (2010). Incidence and prevalence of primary sclerosing cholangitis in a defined adult population in Sweden. Hepatology, 52(2), 571–577. doi:10.​1002/​hep.​23678.CrossRefPubMed
39.
go back to reference Kim, W. R., Therneau, T. M., Wiesner, R. H., Poterucha, J. J., Benson, J. T., Malinchoc, M., et al. (2000). A revised natural history model for primary sclerosing cholangitis. Mayo Clinic Proceedings, 75(7), 688–694. doi:10.4065/75.7.688.CrossRefPubMed Kim, W. R., Therneau, T. M., Wiesner, R. H., Poterucha, J. J., Benson, J. T., Malinchoc, M., et al. (2000). A revised natural history model for primary sclerosing cholangitis. Mayo Clinic Proceedings, 75(7), 688–694. doi:10.​4065/​75.​7.​688.CrossRefPubMed
Metagegevens
Titel
Mapping chronic liver disease questionnaire scores onto SF-6D utility values in patients with primary sclerosing cholangitis
Auteurs
Evangelos Kalaitzakis
Maria Benito de Valle
Monira Rahman
Björn Lindkvist
Einar Björnsson
Roger Chapman
Nick Kontodimopoulos
Publicatiedatum
01-04-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 4/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-1161-x

Andere artikelen Uitgave 4/2016

Quality of Life Research 4/2016 Naar de uitgave