Prevalence of Comorbidities in Patients With Multiple Sclerosis Using Administrative Data From 2007 to 2016 in Iran Publisher Pubmed



Amiri Z^{1, 2} ; Azmin M³ ; Amiri S^{4, 5} ; Akbarisari A^{6, 7} ; Sahraian MA⁸ ; Farzadfar F^{3, 9} ; Soleymani F¹ Show Affiliations
Source: Multiple Sclerosis and Related Disorders Published:2023

Abstract

Background: Research interest in the impact of comorbidities in MS has been expanding. Based on studies, certain comorbidities are more prevalent in MS population such as depression, anxiety, hypertension and hypercholesterolemia, diabetes, and hypothyroidism. Objective: This study aims to describe the prevalence of comorbidities in MS population based on the health insurance claims data. Method: This retrospective database analysis was conducted using patient-level medicinal and pharmacy claims data from a leading insurance group (Iranian health insurance) in 2007–2016. MS population was identified based on their Disease Modifying Therapies prescribed by a neurologist (qualified to diagnose MS). Comorbidities in MS and non-MS population were assessed by their prescriptions. Crude and age-standardized prevalence rate (ASPR) of coverage of comorbidities in different age and sex groups and their odds ratio versus non-MS population were assessed. Results: The most common comorbidities were depression (15.50%) and anxiety (10.1%). Hypercholesterolemia, diabetes, hypertension, and hypothyroidism were prevalent in 6%, 3.6%, 3.5%, and 2.7% respectively. Anxiety and depression were more prevalent in middle age group (45–65 years old). But other comorbidities were more prevalent in older age groups. All comorbidities were more prevalent in female except hypertension in patients ≥45 years old. The odds of all comorbidities were higher for male patients with MS rather than their parallel age group in non-MS patients. These also applied for female patients with MS 18–44 years old (except hypertension). Conclusion: Using claims data, the prevalence of taking treatment for selected comorbidities in MS population and their association with sex and age, can guide patients, healthcare providers, and policy makers to help improve MS patients’ wellbeing. © 2023