Characteristics and influencing factors of non-dipping blood pressure of residents in Tori County,Tacheng area of Xinjiang based on remote blood pressure network system
Objective To explore the characteristics and influencing factors of non-dipping blood pressure(NDBP)in Tori County of Tacheng area,Xinjiang.Methods Retrospective analysis was performed on the monitoring results of ambulatory blood pressure of 1 547 patients in Tori County.According to the monitoring results,they were divided into dipping group(n=363,including 150 males and 213 females),and non-dipping group(n=1 184,including 456 males and 728 females).We compared sex,age,and related indexes such as 24-hour average systolic blood pressure(24hSBP),24-hour average diastolic blood pressure(24hDBP),24-hour mean arterial blood pressure(24hMAP),24-hour average heart rate(24hHR),daytime mean systolic blood pressure(dSBP),daytime mean diastolic blood pressure(dDBP),daytime mean arterial blood pressure(dMAP),daytime mean heart rate(dHR),night average systolic blood pressure(nSBP),night average diastolic blood pressure(nDBP),night average arterial blood pressure(nMAP)and night mean heart rate(nHR)between the two groups.ROC curve was used to evaluate the efficacy of 24hMAP,nSBP and nMAP in predicting NDBP.Results There were statistically significant differences in the age,24 h SBP,24 h MAP,nSBP,nDBP,nMAP and nHR between the two groups(P<0.05).Multivariate Logistic regression analysis showed that nSBP(OR= 1.313,95％CI 1.232-1.400,P<0.01)and nMAP(OR = 1.302,95％CI 1.249-1.356,P<0.01)were independent risk factors for NDBP.The ROC curve showed that the AUC of 24hMAP,nSBP and nMAP were 0.537,0.726 and 0.769,respectively.Conclusion NDBP is closely related to 24hMAP,nSBP and nMAP levels.The index of nMAP proves to be highly effective in diagnosing NDBP.Ambulatory blood pressure monitoring is simple and easy to operate in the diagnosis of NDBP,and has important clinical value for its early diagnosis and treatment.
non-dipping blood pressureambulatory blood pressure monitoringremote blood pressure network systemTacheng area of Xinjiang
万方数据
维普
