| Literature DB >> 30705937 |
J Antonio González-Hermosillo1, Manuel A Baños-González2, Milton E Guevara-Valdivia3, Jorge A Vázquez-Acosta4, Manuel Odín de Los Ríos Ibarra5, Kulio A Aguilar-Linares6, Carlos Cantú-Brito7, José L Leiva-Pons8, Gerardo Pozas-Garza9, Eddie A Favela-Pérez10, Manlio F Márquez1.
Abstract
BACKGROUND: Atrial Fibrillation (AF) is associated with an increased risk of stroke and systemic embolism. Several studies have suggested that female AF patients could have a greater risk for stroke. There is scarce information about clinical characteristics and use of antithrombotic therapies in Latin American patients with nonvalvular AF.Entities:
Keywords: AF, Atrial fibrillation; APD, Antiplatelet drugs; ATT, Antithrombotic therapy; Antithrombotic therapy; Atrial fibrillation; DOAC, Direct oral anticoagulants; Gender; Mexico; Stroke; Thromboembolic risk; VKA, Vitamin K antagonists
Year: 2019 PMID: 30705937 PMCID: PMC6349010 DOI: 10.1016/j.ijcha.2018.12.017
Source DB: PubMed Journal: Int J Cardiol Heart Vasc ISSN: 2352-9067
Baseline characteristics by Gender.
| All | Male | Female | ||
|---|---|---|---|---|
| Demographic characteristics | ||||
| Gender (%) | 51.4 | 48.6 | ns | |
| Age, years ± SD | 69 ± 13 | 68 ± 13 | 70 ± 12 | =0.002 |
| Weight, kg ± SD | 75 ± 16 | 80 ± 15 | 69 ± 14 | <0.0001 |
| Body mass index, kg/m2 ± SD | 28.5 ± 5.0 | 28.4 ± 4.6 | 28.7 ± 5.4 | ns |
| Comorbidities | ||||
| Hypertension | 72.5 | 71.3 | 73.8 | ns |
| Diabetes | 28.4 | 31.3 | 25.3 | =0.007 |
| Heart failure | 23.6 | 25.3 | 21.8 | ns |
| Smoking | 16.4 | 23.9 | 8.5 | <0.0001 |
| Alcoholism | 9.2 | 17.1 | 0.9 | <0.0001 |
| Nonischemic cardiomyopathy | 8.9 | 10.3 | 7.5 | =0.042 |
| Coronary artery disease | 7.1 | 9.7 | 4.3 | <0.0001 |
| Obstructive sleep apnea | 3.9 | 5.2 | 2.6 | =0.008 |
| Peripheral artery disease | 1.8 | 1.0 | 2.7 | =0.010 |
P value was obtained comparing Gender groups using Chi-square test and Student's t-test.
Hypertensive, Idiopathic, and restrictive.
Fig. 1Gender and stroke risk based on CHA2DS2-VASc.
*P value was obtained comparing Gender groups using Chi-square test.
Fig. 2Gender and bleeding risk based on HAS-BLED.
*P value was obtained comparing Gender groups using Chi-square test.
Fig. 3Gender and antithrombotic therapy according to CHA2DS2-VASc risk.
*P value was obtained comparing Gender groups using Chi-square test.