@inproceedings{629c21bdebfd480485a2d983cb182b5e,
title = "Risk of acute myocardial infarction in patients with rheumatic arthritis: A national-wide population-based cohort study",
abstract = "We performed a cohort study to quantify the association between rheumatic arthritis (RA) and acute myocardial infarction (AMI) risk. ICD-9 was used to identify AMI and RA patients, and the Cox proportional hazards model with adjusted confounding factors was used to quantify the risk. The overall risk of AMI for RA patients was an aHR of 1.05 (95% CI 1.01-1.09). We found RA was associated with an increased risk for AMI.",
keywords = "Acute Myocardial Infarction, Cohort Studies, Rheumatic Arthritis",
author = "{Mohaimenul Islam}, Md and Poly, {Taimina Nasrin} and Yang, {Hsuan Chia} and Li, {Yu Chuan}",
year = "2019",
month = aug,
day = "21",
doi = "10.3233/SHTI190501",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1494--1495",
editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",
booktitle = "MEDINFO 2019",
address = "Netherlands",
note = "17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",
}