Meta-analysis of the Differences in Non-invasive Blood Pressure Values Between the Ankle and the Upper Arm in Adults and Its Influencing Factors
Objective To investigate the non-invasive blood pressure differences between the ankle and the upper arm in adults and its influencing factors,and to provide reference for medical and nursing staff to use ankle blood pressure for early screening,diagnosis and treatment of diseases.Methods Self-controlled trials on differences in ankle and upper arm blood pressure in adults were searched from CNKI,VIP,Wanfang,SinoMed,PubMed,The Cochrane Library,Embase and CINAHL databases.The time was from the inceptions to June 6,2023.Two researchers independently screened the literature,extracted the data,and used the quality evaluation tool of the JBI Evidence-Based Health Care Center of Australia(2016)to evaluate the quality of the included literature.RevMan 5.3 and Stata 15.0 software were used for data analysis.Results A total of 14 articles were included,including 4 domestic articles and 10 foreign articles,with a total of 20,275 study subjects.The meta-analysis results showed that there was a statistically significant difference in the ankle and upper arm systolic blood pressure in the general population(WMD=17.91 mmHg,P＜0.001).The subgroup analysis results showed that gender was the main cause of heterogeneity in the ankle-arm systolic blood pressure differenceThe measurement order,measurement site(left or right),and age had no statistically significant effect on the ankle-arm systolic blood pressure difference(P＞0.05).The systolic blood pressure difference in the cardiovascular system disease group was significantly lower(WMD=9.48 mmHg,P=0.005),while the systolic blood pressure difference in the end-stage renal disease group was significantly higher(WMD=35.53 mmHg,P＜0.001).Conclusions The normal ankle systolic blood pressure threshold for adults in the supine position is suggested to be 108-158 mmHg.When clinicians refer to this value,they should consider the influence of factors such as gender and disease.More high-quality primary studies are needed in the future to draw more robust conclusions.
万方数据
维普
