دورية أكاديمية

A healthcare claims analysis to identify and characterize patients with suspected X-Linked Myotubular Myopathy (XLMTM) in the Brazilian Healthcare System

التفاصيل البيبلوغرافية
العنوان: A healthcare claims analysis to identify and characterize patients with suspected X-Linked Myotubular Myopathy (XLMTM) in the Brazilian Healthcare System
المؤلفون: Paulo Victor Sgobbi Souza, Tmirah Haselkorn, Jader Baima, Renato Watanabe Oliveira, Fabián Hernández, Marina G. Birck, Marcondes C. França
المصدر: Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-9 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
مصطلحات موضوعية: X-linked myotubular myopathy, XLMTM, Congenital myopathy, Claims analysis, Real-world evidence, DATASUS, Medicine
الوصف: Abstract Background X-linked myotubular myopathy (XLMTM) is a rare, life-threatening congenital disease, which is not well-defined. To our knowledge, no studies characterizing the XLMTM disease burden have been conducted in Brazil. We identified and described patients with suspected XLMTM using administrative claims data from the Brazilian public healthcare system. Methods Data from 2015 to 2019 were extracted from the DATASUS database. As no XLMTM-specific ICD-10 code was available, a stepwise algorithm was applied to identify patients with suspected XLMTM by selecting male patients with a congenital myopathies code (G71.2), aged
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1750-1172
Relation: https://doaj.org/toc/1750-1172
DOI: 10.1186/s13023-024-03144-7
URL الوصول: https://doaj.org/article/9ca6438626e94bd9a4f211feb78cc9fc
رقم الأكسشن: edsdoj.9ca6438626e94bd9a4f211feb78cc9fc
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17501172
DOI:10.1186/s13023-024-03144-7