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急性心力衰竭患者利尿剂抵抗的危险因素及风险预测模型构建

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目的 分析急性心力衰竭(AHF)患者利尿剂抵抗的危险因素并构建风险预测模型,为利尿剂抵抗的临床防治提供参考.方法 回顾性分析2019年1月至2021年11月收治的102例AHF患者临床资料,根据住院期间利尿剂抵抗发生情况分为抵抗组与非抵抗组.查阅并记录患者一般资料及实验室指标,通过Logistic回归分析AHF患者利尿剂抵抗的危险因素,绘制列线图构建AHF患者利尿剂抵抗的风险预测模型,并评估风险预测模型对AHF患者利尿剂抵抗的预测价值.结果 住院期间,102例患者中38例发生利尿剂抵抗,发生率为37.25%;抵抗组入院时NYHA心功能分级高于非抵抗组,低钠血症、入院前使用非甾体抗炎药占比高于非抵抗组,差异有统计学意义(P<0.05);抵抗组入院时血清白蛋白水平低于非抵抗组,血清B型钠尿肽(BNP)、氨基末端B型钠尿肽原(NT-proBNP)、醛固酮水平高于非抵抗组,差异有统计学意义(P<0.05).Logistic回归分析发现,入院前使用非甾体抗炎药、入院时血清BNP、NT-proBNP、醛固酮水平高是AHF患者利尿剂抵抗发生的独立危险因素(OR>1,P<0.05);入院时血清白蛋白水平高是AHF患者利尿剂抵抗发生的保护因素(OR<1,P<0.05);通过上述影响因素构建风险预测模型并验证,结果显示,模型C-index值为0.967,模型区分度良好,校准曲线Y与X直线相近,模型准确度良好.结论 入院前使用非甾体抗炎药、入院时血清BNP、NT-proBNP、醛固酮水平高、入院时血清白蛋白水平低均为AHF患者利尿剂抵抗发生的影响因素,根据上述因素构建的风险预测模型对AHF患者利尿剂抵抗的发生具有较好的预测价值.
Risk factors of diuretic resistance in patients with acute heart failure and construction of a risk prediction model
Objective To analyze the risk factors of diuretic resistance in patients with acute heart failure(AHF)and to construct a risk prediction model,so as to provide reference for the clinical prevention and treatment of diuretic resistance.Methods The clinical data of 102 AHF patients admitted to the hospital from January 2019 to November 2021 were retrospectively analyzed.According to the occurrence of diuretic resistance during hospitalization,they were divided into resistance group and non-resistance group.The general data and laboratory indicators of patients were reviewed and recorded.The risk factors of diuretic resistance in AHF patients were analyzed by Logistic regression.A nomogram was drawn to construct the risk prediction model of diuretic resistance in AHF patients,and its performance in predicting for the risk of diuretic resistance in AHF patients was evaluated.Results During hospitalization,38/102(37.25%)patients developed diuretic resistance.Patients in the resistance group presented significantly higher New York Heart Association(NYHA)functional class on admission and higher proportions of hyponatremia and use of nonsteroidal anti-inflammatory drugs before admission than those of non-resistance group(P<0.05).Significantly lower serum albumin level on admission,and higher serum levels of B-type natriuretic peptide(BNP),N-terminal B-type natriuretic peptide(NT-proBNP)and aldosterone were detected in the resistance group than those of non-resistance group(P<0.05).Logistic regression analysis showed that the use of nonsteroidal anti-inflammatory drug before admission,and high levels of serum BNP,NT-proBNP,and aldosterone at admission were independent risk factors for diuretic resistance in AHF patients(OR>1,P<0.05).High serum albumin level on admission was the protective factor of diuretic resistance in AHF patients(OR<1,P<0.05).Based on the above influencing factors,a nomogram to predict diuretic resistance in AHF patients was constructed and validated.The results showed that the C-index value of the model was 0.967,and the model had good discrimination.The calibration curve Y was similar to the straight line X,and the accuracy of the nomogram was good.Conclusion The use of nonsteroidal anti-inflammatory drug before admission,high levels of serum BNP,NT-proBNP and aldosterone,and low levels of serum albumin on admission are all influencing factors for the occurrence of diuretic resistance in AHF patients.A nomogram based on the above factors has a good predictive value for the occurrence of diuretic resistance in AHF patients.

acute heart failurediuretic resistanceprediction modelalbuminaldosterone

薛忠文、吕松桧、王爽

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102400 北京市,首都医科大学附属北京康复医院心脏康复中心

北京市房山区妇幼保健院妇产科

佳木斯大学附属第一医院心内一科

急性心力衰竭 利尿剂抵抗 预测模型 白蛋白 醛固酮

心肌缺血教育部重点实验室开放基金

KF202215

2024

河北医药
河北省医学情报研究所

河北医药

CSTPCD
影响因子:1.075
ISSN:1002-7386
年,卷(期):2024.46(8)
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