不同多发性硬化症病程的经济负担:来自意大利行政和临床数据库的分析

IF 0.4 Q4 HEALTH CARE SCIENCES & SERVICES Farmeconomia-Health Economics and Therapeutic Pathways Pub Date : 2020-06-05 DOI:10.7175/fe.v21i1.1476
P. Cortesi, P. Cozzolino, R. Capra, G. Cesana, L. Mantovani
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引用次数: 5

摘要

针对不同的多发性硬化症(MS)病程:复发缓解型(RRMS)、继发性进展型(SPMS)和原发性进展型(PPMS),经济信息贫乏。本研究旨在填补这一空白。方法:进行疾病成本研究。将2004-2010年在伦巴第一家大型MS中心治疗的患者的临床信息与伦巴第医疗保健系统的管理数据相关联。我们评估了每位患者每年的平均费用及其与不同MS特征的关系。结果:共纳入869例患者(RRMS 83.9%, SPMS 8.5%, PPMS 7.2%)。RRMS报告的每位患者年平均费用最高,扩展残疾状态量表(EDSS) 0-3为5,623欧元,EDSS 3.5-6.5为8,675欧元,EDSS 7-9为7,451欧元。在所有EDSS类别中,PPMS患者报告的每位患者的年平均费用较低。多变量分析报告了每位患者年费用与EDSS类别、复发和使用疾病修饰疗法之间的显著关联,但与MS病程、年龄和性别无关。结论:本研究提供了MS课程在不同残疾水平下的直接成本的完整图景。研究结果有助于更好地了解每门MS课程的负担和不同干预措施的成本效益。
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The Economic Burden of Different Multiple Sclerosis Courses: Analysis from Italian Administrative and Clinical Databases
INTRODUCTION: Poor specific economic information are available for the different Multiple Sclerosis (MS) courses: relapsing remitting (RRMS), secondary progressive (SPMS) and primary progressive (PPMS). This study aims to fill this gap. METHODS: A cost of illness study was conducted. Clinical information of patients treated in a major MS Center located in Lombardy, in the period 2004-2010, were linked with administrative data of Lombardy Healthcare System. We assessed the mean cost per patient-year and its association with different MS characteristics. RESULTS: The study identified 869 patients (83.9% RRMS, 8.5% SPMS, 7.2% PPMS). RRMS reported the highest cost per patient-year with a mean of € 5,623 in Expanded Disability Status Scale (EDSS) 0-3, € 8,675 in EDSS 3.5-6.5, and € 7,451 in EDSS 7-9. The PPMS patients reported the lower annual mean cost per patient in all EDSS categories. The mul-tivariate analysis reported a significant association between cost per patient-year and EDSS categories, relapse and use of Disease Modifying Therapies but not to MS courses, age and sex. CONCLUSION: This study provides a complete picture of MS courses direct costs at the different disability levels. The results can help to better understand the burden of each MS courses and the cost-effectiveness of different interventions.
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