Abstract
Objective
This study assessed patient-reported health-related quality of life (HRQoL) using two generic preference-based measures in Chinese patients with spinal and bulbar muscular atrophy (SBMA) and identified demographic and clinical determinants of health utility scores in this population.
Methods
This study used cross-sectional data of 212 Chinese patients with SBMA who completed both the EQ-5D and SF-6D. Association between response to EQ-5D and SF-6D dimensions was examined using Spearman’s correlation coefficient, and the association between the two utility scores was assessed using Pearson’s correlation coefficient. The variations in utility scores across patients in different subgroups were compared using one-way ANOVA. Bland–Altman (B–A) plot was used to assess the agreement of utility scores between EQ-5D and SF-6D. A multivariate Tobit regression model was employed to estimate the association between utility scores and the presence of symptoms and chronic conditions.
Results
The mean utility scores for the EQ-5D and SF-6D were 0.54 and 0.56, respectively. The hypothesized correlation between the EQ-5D and SF-6D dimensions ranged from 0.31 to 0.58, and the correlation between their utility scores was 0.64. An acceptable agreement between EQ-5D and SF-6D utility scores was identified by B–A plot. Patients with chronic diseases, misdiagnosis, high financial burden, and several clinical symptoms were highly likely to report a low health utility score.
Conclusions
This study is the first to investigate the HRQoL of patients with SBMA worldwide. The estimated health utility scores for EQ-5D and SF-6D can be utilized as baseline data for future cost-utility analyses of SBMA-related interventions.
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Availability of data and materials
Derived data supporting the findings of this study are available from the corresponding author on request.
Code availability
Not applicable.
References
Rhodes, L.E., Freeman, B.K., Auh, S., et al.: Clinical features of spinal and bulbar muscular atrophy. Brain (London Engl. 1878) 132, 3242–3251 (2009)
Orphanet: Kennedy disease. https://www.orpha.net/consor/cgi-bin/OC_Exp.php?lng=en&Expert=481. Accessed 26 Nov. 2020
Breza, M., Koutsis, G.: Kennedy’s disease (spinal and bulbar muscular atrophy): a clinically oriented review of a rare disease. J. Neurol. 266, 565–573 (2019). https://doi.org/10.1007/s00415-018-8968-7
Hashizume, A., Katsuno, M., Banno, H., et al.: Longitudinal changes of outcome measures in spinal and bulbar muscular atrophy. Brain (London Engl. 1878) 135, 2838–2848 (2012)
Atsuta, N., Watanabe, H., Ito, M., et al.: Natural history of spinal and bulbar muscular atrophy (SBMA): a study of 223 Japanese patients. Brain (London Engl. 1878) 129, 1446–1455 (2006)
Brazier, J.: Measuring and Valuing Health Benefits for Economic Evaluation, 2nd edn. Oxford University Press, Oxford (2007)
Whitehead, S.J., Ali, S.: Health outcomes in economic evaluation: the QALY and utilities. Br. Med. Bull. 96, 5–21 (2010). https://doi.org/10.1093/bmb/ldq033
Wei, Q.-Q., Hou, Y., Chen, Y., et al.: Health-related quality of life in amyotrophic lateral sclerosis using EQ-5D-5L. Health Qual Life Outcomes 19, 181 (2021). https://doi.org/10.1186/s12955-021-01822-9
Crossnohere, N.L., Fischer, R., Lloyd, A., et al.: Assessing the appropriateness of the EQ-5D for Duchenne muscular dystrophy: a patient-centered study. Med. Decis. Mak. 41, 209–221 (2021). https://doi.org/10.1177/0272989X20978390
Rabin, R., de Charro, F.: EQ-SD: a measure of health status from the EuroQol Group. Ann. Med. 33, 337–343 (2001). https://doi.org/10.3109/07853890109002087
Brazier, J.E., Roberts, J.E.: The estimation of a preference-based measure of health from the SF-12. Med. Care 42, 851–859 (2004). https://doi.org/10.1097/01.mlr.0000135827.18610.0d
Wang, H.-M., Patrick, D., Edwards, T., et al.: Validation of the EQ-5D in a general population sample in urban China. Qual. Life Res. 21, 155–160 (2012). https://doi.org/10.1007/s11136-011-9915-6
Dong, D., Chung, R.Y.N., Chan, R.H.W., et al.: Why is misdiagnosis more likely among some people with rare diseases than others? Insights from a population-based cross-sectional study in China. Orphanet. J. Rare Dis. 15, 1–12 (2020). https://doi.org/10.1186/s13023-020-01587-2
Fritz, C.O., Morris, P.E., Richler, J.J.: Effect size estimates: current use, calculations, and interpretation. J. Exp. Psychol. 141, 2–18 (2012)
Xu, R.H., Wong, E.L.Y., Jin, J., et al.: Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas. Eur. J. Heal Econ. (2020). https://doi.org/10.1007/s10198-020-01220-w
R Core Team: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2013). https://www.r-project.org/
Yang, Z., Busschbach, J., Liu, G., et al.: EQ-5D-5L norms for the urban Chinese population in China. Health Qual Life Outcomes 16, 210 (2018). https://doi.org/10.1186/s12955-018-1036-2
Jin, H., Wang, B., Gao, Q., et al.: Comparison between EQ-5D and SF-6D utility in rural residents of Jiangsu Province, China. PLoS ONE 7, e41550 (2012). https://doi.org/10.1371/journal.pone.0041550
Xu, R.H., Wong, E., Su, Y., et al.: Quantifying the effect of financial burden on health-related quality of life among patients with non-Hodgkin’s lymphomas. Cancers (Basel) 12, 3325 (2020). https://doi.org/10.3390/cancers12113325
Chen, J.E., Lou, V.W., Jian, H., et al.: Objective and subjective financial burden and its associations with health-related quality of life among lung cancer patients. Support Care Cancer 26, 1265–1272 (2018). https://doi.org/10.1007/s00520-017-3949-4
Bhattacharyya, S., Berkowitz, A.L.: Primary angiitis of the central nervous system: avoiding misdiagnosis and missed diagnosis of a rare disease. Pract. Neurol. (2016). https://doi.org/10.1136/practneurol-2015-001332
Harutunian, G.M., Beydoun, S.R., Rison, R.A.: Kennedy disease misdiagnosed as polymyositis: a case report. BMC Res. Notes 6, 389 (2013). https://doi.org/10.1186/1756-0500-6-389
Paparounas, K., Gotsi, A., Syrrou, M., et al.: Kennedy disease: avoiding misdiagnosis. Arch. Neurol. 60, 893–894 (2003). https://doi.org/10.1001/archneur.60.6.893
Scott Stephen, M.B., Currie, J., Albert Paul, M., et al.: Risk of misdiagnosis, health-related quality of life, and BMI in patients who are overweight with doctor-diagnosed asthma. Chest 141, 616–624 (2012)
Pennuto, M., Rinaldi, C.: From gene to therapy in spinal and bulbar muscular atrophy: Are we there yet? Mol. Cell Endocrinol. 465, 113–121 (2018)
Finsterer, J., Stöllberger, C.: Only some patients with bulbar and spinal muscular atrophy may develop cardiac disease. Mol. Genet. Metab. Rep. 14, 44–46 (2018). https://doi.org/10.1016/j.ymgmr.2017.11.007
Araki, A., Katsuno, M., Suzuki, K., et al.: Brugada syndrome in spinal and bulbar muscular atrophy. Neurology 82, 1813–1821 (2014). https://doi.org/10.1212/WNL.0000000000000434
Francini-Pesenti, F., Querin, G., Martini, C., et al.: Prevalence of metabolic syndrome and non-alcoholic fatty liver disease in a cohort of Italian patients with spinal-bulbar muscular atrophy. Acta Myol. 37, 204–209 (2018)
Nilsson, A.G., Sundh, D., Johansson, L., et al.: Type 2 diabetes mellitus is associated with better bone microarchitecture but lower bone material strength and poorer physical function in elderly women: a population-based study. J. Bone Miner Res. 32, 1062–1071 (2017)
Bonds, D.E., Larson, J.C., Schwartz, A.V., et al.: Risk of fracture in women with type 2 diabetes: the women’s health initiative observational study. J. Clin. Endocrinol. Metab. 91, 3404–3410 (2006)
Chahin, N., Klein, C., Mandrekar, J., et al.: Natural history of spinal-bulbar muscular atrophy. Neurology 70, 1967–1971 (2008). https://doi.org/10.1212/01.wnl.0000312510.49768.eb
Johansen, J.A., Yu, Z., Mo, K., et al.: Recovery of function in a myogenic mouse model of spinal bulbar muscular atrophy. Neurobiol Dis. 34, 113–120 (2008). https://doi.org/10.1016/j.nbd.2008.12.009
Fischer, M.J., Asselman, F.-L., Kruitwagen-van Reenen, E.T., et al.: Psychological well-being in adults with spinal muscular atrophy: the contribution of participation and psychological needs. Disabil. Rehabil. 42, 2262–2270 (2020). https://doi.org/10.1080/09638288.2018.1555864
Kasper, E., Wegrzyn, M., Marx, I., et al.: Minor cognitive disturbances in X-linked spinal and bulbar muscular atrophy, Kennedy’s disease. Amyotroph. Lateral Scler. Front. Degener. 15, 15–20 (2014)
Uhlenbusch, N., Löwe, B., Depping, M.K.: Perceived burden in dealing with different rare diseases: a qualitative focus group study. BMJ Open 9, e033353 (2019)
Blöß, S., Klemann, C., Rother, A.-K., et al.: Diagnostic needs for rare diseases and shared prediagnostic phenomena: results of a German-wide expert Delphi survey. PLoS ONE 12, e0172532 (2017)
Lövgren, R.N., PhD, M., Sejersen, M.D., PhD, T., Kreicbergs, R.N., PhD, U.: Parents’ experiences and wishes at end of life in children with spinal muscular atrophy types I and II. J. Pediatr. 175, 201–205 (2016). https://doi.org/10.1016/j.jpeds.2016.04.062
Burns, T.M., Crowell, J.L., Smith, A.G.: A crisis in US drug pricing: consequences for patients with neuromuscular diseases, physicians and society, part 1. Muscle Nerve 62, 567–572 (2020). https://doi.org/10.1002/mus.27015
Chambers, G.M., Settumba, S.N., Carey, K.A., et al.: Prenusinersen economic and health-related quality of life burden of spinal muscular atrophy. Neurology 95, 1–10 (2020). https://doi.org/10.1212/WNL.0000000000009715
Xu, R.H., Wong, L., Jin, J., et al.: Health-related quality of life measured using EQ-5D in patients with lymphomas. Supp. Care Cancer (2020). https://doi.org/10.1007/s00520-020-05774-6
Lam, C.L.K.: Subjective quality of life measures—general principles and concepts. In: Preedy, V.R., Watson, R.R. (eds.) Handbook of Disease Burdens and Quality of Life Measures, pp. 381–399. Springer, New York (2010). https://doi.org/10.1007/978-0-387-78665-0_21
Carrera, P.M., Kantarjian, H.M., Blinder, V.S.: The financial burden and distress of patients with cancer: understanding and stepping-up action on the financial toxicity of cancer treatment. CA Cancer J. Clin. 68, 153–165 (2018). https://doi.org/10.3322/caac.21443
Fischbeck, K.H.: Developing treatment for spinal and bulbar muscular atrophy. Prog. Neurobiol. 99, 257–261 (2012). https://doi.org/10.1016/j.pneurobio.2012.05.012
He, J., Kang, Q., Hu, J., et al.: China has officially released its first national list of rare diseases. Intractable Rare Dis. Res. 7, 145–147 (2018)
Longworth, L., Bryan, S.: An empirical comparison of EQ-5D and SF-6D in liver transplant patients. Health Econ. 12, 1061–1067 (2003). https://doi.org/10.1002/hec.787
Brazier, J., Roberts, J., Tsuchiya, A., et al.: A comparison of the EQ-5D and SF-6D across seven patient groups. Health Econ. 13, 873–884 (2004). https://doi.org/10.1002/hec.866
Carroll, L., Benson, G., Lambert, J., et al.: Real-world utilities and health-related quality-of-life data in hemophilia patients in France and the United Kingdom. Patient Prefer. Adherence 13, 941–957 (2019)
Xu, R.H., Dong, D., Luo, N., et al.: Evaluating the psychometric properties of the EQ-5D-5L and SF-6D among patients with haemophilia. Eur. J. Heal. Econ. 22, 547–557 (2021). https://doi.org/10.1007/s10198-021-01273-5
Zhao, F., Yue, M., Yang, H., et al.: Validation and comparison of EuroQol and short form 6D in chronic prostatitis patients. Value Heal. 13, 649–656 (2010). https://doi.org/10.1111/j.1524-4733.2010.00728.x
Acknowledgements
We thank the Kennedy’s Disease Care Center of China for assisting in questionnaire design and data collection, the patients with spinal and bulbar muscular atrophy for completing the questionnaires, the Beijing Society of Rare Disease Clinical Care and Accessibility and the Illness Challenge Foundation for coordinating this research.
Funding
This work was supported by the National Key Research and Development Program of China (Grant No. 2016YFC0901500) and the Center for Rare Diseases Research, Chinese Academy of Medical Sciences, Beijing, China (Grant No. 2016ZX310174-4).
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Study conception and design: DD, SYZ. Material preparation, data collection: RHX, DD. Data analysis: RHX and DD. Draft preparation: RHX and DD. Manuscript revision: RHX, DD, ML. Supervision: DD, SYZ.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Both the institutional review board ethics committee of the Chinese University of Hong Kong and Peking Union Medical College Hospital approved the study protocol and informed consent (Ref No. SBRE-18-268 and SK814).
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Xu, R.H., Lu, M., Zhang, S. et al. EQ-5D and SF-6D health utility scores in patients with spinal and bulbar muscular atrophy. Eur J Health Econ 24, 1399–1410 (2023). https://doi.org/10.1007/s10198-022-01551-w
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DOI: https://doi.org/10.1007/s10198-022-01551-w
Keywords
- Spinal and bulbar muscular atrophy
- Quality of life
- Health utility score
- Generic preference-based measures