The baseline model comprised Framingham risk score variables [21]: age, age2, sex, male sex*age2, body mass index, systolic blood pressure, antihypertensive medication, congestive heart failure, conge

NIAID Data Ecosystem50

Patients’ demography data in Derivation and Validation groups

临床队列研究

房颤风险预测

*Compared with patient whose AF durations were known Patients’ demography data in Derivation and Validation groups

NIAID Data Ecosystem30

Risk factors for death, stroke, and bleeding in 28,628 patients from the GARFIELD-AF registry: Rationale for comprehensive management of atrial fibrillation

房颤风险预测

临床结局预测

Background The factors influencing three major outcomes–death, stroke/systemic embolism (SE), and major bleeding–have not been investigated in a large international cohort of unselected patients

DataCite Commons2025-06-02 更新50

Table_1_Association of high estimated glomerular filtration rate with risk of atrial fibrillation: a nationwide cohort study.xlsx

肾功能与心血管疾病关联

房颤风险预测

AimWhile the relationship between impaired kidney function and atrial fibrillation (AF) is well established, there is limited research exploring the association between elevated estimated glomerular f

NIAID Data Ecosystem40

Relationship among SEC, type of AF, and thromboembolic events.

资源简介：

相关数据集