老年慢性心力衰竭患者超声心动图参数与静息心电图指标的变化特征及对预后不良的预测价值OA
Change Characteristics of Echocardiographic Parameters and Resting Electro-cardiogram Indicators and Their Predictive Value for Poor Prognosis in El-derly Patients with Chronic Heart Failure
目的 分析老年慢性心力衰竭(CHF)患者超声心动图参数与静息心电图指标的变化特征及对预后不良的预测价值.方法 回顾性选取 2023 年 1 月至 2025 年 10 月期间贵阳市公共卫生救治中心收治的 150 例老年CHF患者为研究对象,比较不同NYHA心功能分级患者的超声心动图参数(LVEF、LVEDD、LVESD、SV)与静息心电图指标(ST-T改变、QRS波群时限),采用Spearman法分析各指标与心功能分级的相关性.出院后随访 6 个月,根据预后结局分为预后不良组与预后良好组,比较两组临床指标差异;采用二元Logistic回归分析预后不良的独立影响因素,绘制ROC曲线分析各指标单独及联合检测对预后不良的预测效能.结果 随着NYHA心功能分级升高,患者LVEF、SV逐渐降低,LVEDD、LVESD、ST-T改变率、QRS波群时限逐渐升高(P<0.05).Spearman相关性分析显示,NYHA心功能分级与LVEDD、LVESD、ST-T 改变率、QRS波群时限呈正相关(r=0.463、0.506、0.469、0.429,P均<0.001),与LVEF、SV呈负相关(r=-0.587、-0.429,P均<0.001).随访 6 个月共 44 例患者发生预后不良.预后不良组LVEF、SV均低于预后良好组,LVEDD、LVESD、ST-T改变率及QRS波群时限均高于预后良好组(P<0.05).二元Logistic回归分析显示,LVEF降低、LVEDD增大、LVESD增大、SV降低、存在ST-T改变、QRS波群时限延长均是老年CHF患者预后不良的独立影响因素(P<0.05).ROC曲线分析显示,各指标单独检测对预后不良均有一定预测价值,其中LVESD预测效能最高(AUC=0.819);超声心动图参数与静息心电图指标联合预测的AUC为0.959,显著高于各指标单独检测(P<0.001).结论 老年CHF患者超声心动图参数与静息心电图指标随心功能分级升高呈规律性变化,二者联合检测可有效提升对患者预后不良的预测价值,可为临床风险分层与干预决策提供参考依据.
Objective To analyze the change characteristics of echocardiographic parameters and resting electrocardiogram indicators and their predictive value for poor prognosis in elderly patients with chronic heart failure(CHF).Methods A total of 150 elderly CHF patients admitted to Guiyang Public Health Clinical Center from January 2023 to October 2025 were retrospectively enrolled.Echocardiographic parameters(LVEF,LVEDD,LVESD,SV)and resting electrocardiogram indicators(ST-T changes,QRS duration)were compared among patients with different NYHA cardiac function grades.Spearman correlation analysis was applied to examine the correlation between each indicator and cardiac function grade.All patients were followed up for 6 months after discharge and divided into the poor prognosis group and the favorable prognosis group according to clinical outcomes.The differences in clinical indicators were compared between the two groups.Binary Logistic regression analysis was performed to identify the independent influencing factors of poor prognosis,and ROC curves were plotted to evaluate the predictive efficacy of single and combined detection of each indicator for poor prognosis.Results With the elevation of NYHA cardiac function grade,patients presented with gradually decreased LVEF and SV,as well as progressively increased LVEDD,LVESD,ST-T change rate and QRS duration(P<0.05).Spearman correlation analysis showed that NYHA cardiac function grade was positively correlated with LVEDD,LVESD,ST-T change rate and QRS duration(r=0.463,0.506,0.469,0.429,all P<0.001),and negatively correlated with LVEF and SV(r=-0.587,-0.429,all P<0.001).A total of 44 patients developed poor prognosis during the 6-month follow-up.The poor prognosis group had lower LVEF and SV,and higher LVEDD,LVESD,ST-T change rate and QRS duration than the favorable prognosis group(P<0.05).Binary Logistic regression analysis indicated that decreased LVEF,enlarged LVEDD,increased LVESD,reduced SV,presence of ST-T changes and prolonged QRS duration were all independent influencing factors for poor prognosis in elderly CHF patients(P<0.05).ROC curve analysis demonstrated that each single indicator had certain predictive value for poor prognosis,among which LVESD achieved the highest predictive efficacy(AUC=0.819).The AUC of combined prediction with echocardiographic parameters and resting electrocardiogram indicators was 0.959,which was significantly higher than that of any single indicator(P<0.001).Conclusions Echocardiographic parameters and resting electrocardiogram indicators in elderly CHF patients present regular changes along with the deterioration of cardiac function.Combined detection of the two types of indicators can effectively improve the predictive value for poor prognosis,and provide reference for clinical risk stratification and intervention decision-making.
余兰
贵阳市公共卫生救治中心 功能科,贵州 贵阳 550001
医药卫生
老年慢性心力衰竭超声心动图静息心电图变化特征预后不良
Elderly chronic heart failureEchocardiographyResting electrocardiogramChange characteristicPoor prognosis
《临床医学工程》 2026 (8)
996-1000,5
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