摘要
目的分析入院时静息心率、氨基末端脑钠尿肽(NT-proBNP)水平对慢性心力衰竭(CHF)患者预后的预测价值。方法抽取2019年8月至2022年12月漯河市第二人民医院收治的慢性心力衰竭患者107例,检测患者入院时的静息心率、NT-proBNP水平。于患者出院后随访6个月,记录两组随访及预后结果,根据随访期间是否发生不良心血管事件将其分为预后良好组和预后不良组。比较两组入院时的静息心率、NT-proBNP水平。采用Logistic回归分析CHF患者临床预后的影响因素;绘制受试者工作特征曲线分析入院时静息心率、NT-proBNP水平对CHF患者预后不良的预测价值。结果本研究共纳入107例CHF患者,其中1例随访期间发生意外事件,1例主动要求退出研究,最终105例患者完成研究。其中29例(29/105)患者发生不良心血管事件,纳入预后不良组。预后不良组入院时的静息心率、NT-proBNP水平高于预后良好组(P<0.05)。Logistic回归分析,结果显示,入院时静息心率、NT-proBNP水平均为CHF患者预后的影响因素(P均<0.05)。绘制受试者工作特征曲线结果显示,静息心率、NT-proBNP水平单独及联合预测CHF患者预后不良的曲线下面积分别为0.730、0.806、0.846,均有一定预测价值,且以联合预测效能最佳。结论入院时静息心率联合NT-proBNP水平可预测CHF患者的预后。
ObjectiveTo analyze the value of resting heart rate and N-terminal pro-brain natriuretic peptide(NT-proBNP)level on admission in prediction on prognosis in patients with chronic heart failure(CHF).MethodsA total of 107 patients with CHF admitted to Luohe Second People’s Hospital from August 2019 to December 2022 were selected.The resting heart rate and NT-proBNP level of the patients were measured on admission.The patients were followed up for 6 months after discharge to record the follow-up results and prognosis.And the patients were divided into good prognosis group and poor prognosis group according to occurrence of adverse cardiovascular events during the follow-up period.Logistic regression analysis was used to analyze the influencing factors of clinical prognosis in CHF patients.And operating characteristic curves were drawn to analyze the predictive value of resting heart rate and NT-proBNP level on admission for poor prognosis in CHF patients.ResultsA total of 107 CHF patients were included in this study,of which 1 case had an unexpected event during follow-up,1 case voluntarily requested to withdraw from the study;and 105 patients completed the study ultimately.Among them,29 patients(29/105)experienced adverse cardiovascular events,and they were included in the poor prognosis group.Th resting heart rate and NT-proBNP level on admission in the poor prognosis group were higher than those in the good prognosis group(P<0.05).Results of logistic regression analysis showed that resting heart rate and NT-proBNP level on admission were all influencing factors of the clinical prognosis of CHF patients(all P<0.05).The area under the curve of resting heart rate on admission,NT-proBNP level on admission and combination of them in predicting poor prognosis in CHF patients were 0.730,0.806,and 0.846,respectively,suggesting certain predictive value;and the predictive efficacy of combination of the two indexes was the best.ConclusionsResting heart rate combined with NT-proBNP level on admission can predict the prognosis of CHF patients.
作者
张伟燕
原野
Zhang Weiyan;Yuan Ye(Department of Cardiology,Luohe Second People’s Hospital,Luohe 462000,China)
出处
《中国实用医刊》
2023年第20期13-16,共4页
Chinese Journal of Practical Medicine
关键词
心力衰竭
静息心率
氨基末端脑钠尿肽
预后
Heart failure
Resting heart rate
N-terminal pro-brain natriuretic peptide
Prognosis
