Data for rate versus rhythm control strategy on stroke and mortality in patients with atrial fibrillation
Chi-Jen Weng,
Cheng-Hung Li,
Ying-Chieh Liao,
Che-Chen Lin,
Jiunn-Cherng Lin,
Shih-Lin Chang,
Chu-Pin Lo,
Kuo-Ching Huang,
Jin-Long Huang,
Ching-Heng Lin,
Yu-Cheng Hsieh,
Tsu-Juey Wu
Affiliations
Chi-Jen Weng
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
Cheng-Hung Li
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan; Department of Financial Engineering, Providence University, Taichung, Taiwan
Ying-Chieh Liao
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan; Department of Financial Engineering, Providence University, Taichung, Taiwan
Che-Chen Lin
Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
Jiunn-Cherng Lin
Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan; Department of Financial Engineering, Providence University, Taichung, Taiwan; Department of Internal Medicine, Taichung Veterans General Hospital Chiayi Branch, Chiayi, Taiwan
Shih-Lin Chang
Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan; Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
Chu-Pin Lo
Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan
Kuo-Ching Huang
Department of Financial Engineering, Providence University, Taichung, Taiwan
Jin-Long Huang
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan
Ching-Heng Lin
Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
Yu-Cheng Hsieh
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan; Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan; Department of Financial Engineering, Providence University, Taichung, Taiwan; Corresponding author at: Cardiovascular Center, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung 40705, Taiwan. Fax: +886 4 2359 9257.
Tsu-Juey Wu
Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan
The data relates to the cohort of patients with atrial fibrillation (AF) from the National Health Insurance Research Database of Taiwan, “Rhythm Control Better Prevents Stroke and Mortality than Rate Control Strategies in Patients with Atrial Fibrillation - A Nationwide Cohort Study” (Weng et al., in press). The AF patients might receive either rate or rhythm control strategy according to the medication used. The baseline medication in rate and rhythm control groups was included in this dataset. Multivariate Cox hazards regression model was used to evaluate the hazard ratio (HR) for major adverse cardiovascular events (MACE), including ischemic/hemorrhagic stroke and mortality in AF patients receiving rate or rhythm control. The occurrence of MACE was identified from the ICD-9 CM codes. The data also contains the HR for MACE stratified by the CHA2DS2-VASc score, baseline characteristics, and the duration of strategy employed of the AF patients.
