Predictive value of 24-hour dynamic electrocardiogram and dynamic blood pressure indicators for risk of atrial fibrillation in patients with essential hypertension
WANG Shuxian
XIE Jing
LI Ruiyuan
WANG Jing
ZHANG Hua
Abstract：Objective To explore the predictive value of 24-hour dynamic electrocardiogram(ECG)and 24-hour dynamic blood pressure monitoring indicators for the risk of atrial fibrillation(AF)in patients with essential hypertension.Methods A retrospective analysis was conducted on 170 essential hypertension patients admitted in Zhengzhou Seventh People's Hospital from March 2021 to March 2024.The patients were divided into an AF group(38 cases)and a non-AF group(132 cases).Heart rate variability(HRV)and blood pressure variability(BPV)indicators were obtained through 24-hour dynamic ECG and blood pressure monitoring,including 24-hour standard deviation of normal-to-normal intervals(24 h SDNN),mean of SDNN for all 5 min segments of the entire recording 5 min(SDNN index),SDNN in all 5 min segments of the entire recording,average for each 5-minute segment(SDANN),root mean square of SDNN(rMSSD),24-hour systolic blood pressure standard deviation(24 h-SSD),24-hour diastolic blood pressure standard deviation(24 h-DSD),and 24-hour systolic blood pressure coefficient of variation(24 h-SCV).Results The AF group exhibited significantly lower values of 24 h SDNN,SDNN index,SDANN index and rMSSD,and higher 24 h-SSD,24 h-DSD and 24 h-SCV levels than the non-AF group(P<0.01).24 h SDNN,SDNN index,SDANN index and rMSSD were protective factors for AF occurrence,while 24 h-SSD,24 h-DSD and 24 h-SCV were risk factors for AF occurrence(P<0.01).The combination of HRV and BPV indicators provided the best predictive performance,with an AUC value of 0.971(95%CI:0.911-0.995).Conclusion Combination of 24-hour dynamic ECG and 24-hour dynamic blood pressure indicators can effectively predict the risk of AF occurrence in patients with essential hypertension.
Keywords：essential hypertensionatrial fibrillationblood pressureheart rateforecasting
Publication Date：2026-02-15
Online Publishing Date：2026-03-11(First online date of this platform, not the publication date of the document)
Pages：5( 186-190 )