心肺复苏质量指数、灌注指数和胸部按压分数在心肺复苏患者预后的预测价值  

Cardiopulmonary resuscitation quality index,Perfusion Index,and Chest Compression Fraction in the Prognosis of Patients Undergoing Cardiopulmonary Resuscitation

作　　者：杨艳鹏 吕菲菲 马冬璞 刘毓 YANG Yanpeng;LYU Feifei;MA Dongpu;LIU Yu(Cardiac Intensive Care Unit,Zhengzhou University Affiliated Zhengzhou Central Hospital,Zhengzhou Henan 450000,China)

机构地区：[1]郑州大学附属郑州中心医院心脏重症科,河南郑州450000

出　　处：《临床研究》2025年第1期87-90,共4页Clinical Research

摘　　要：目的分析应用心肺复苏质量指数、灌注指数和胸部按压分数对心肺复苏患者预后的预测价值。方法回顾性纳入郑州大学附属郑州中心医院2022年1月至2023年12月期间冠心病重症监护病房(CCU)收治的心脏骤停并且接受心肺复苏成功的59例患者作为研究对象,根据患者心肺复苏后的预后结局分为预后良好组(n=41)和预后不良组(n=18)。收集对比两组患者的基本资料和心肺复苏相关指标差异,对比两组患者心肺复苏质量指数(CQI)、灌注指数(PI)和胸部按压分数(CCF)差异,同时采用Logistic分析以及受试者工作特征曲线(ROC)分析各指标与患者不良预后的相关性及对良好预后的预测价值。结果不同预后结局患者的性别、体质量指数(BMI)、吸烟史、饮酒史和心脏骤停原因比较,差异均无统计学意义(P>0.05),两组患者年龄和合并心肺疾病情况比较,差异均有统计学意义(P<0.05);预后良好组患者心肺复苏相关指标T_(0)、T_(1)和T_(2)时间均值均明显短于预后不良组,差异均有统计学意义(P<0.05),预后良好组患者CQI、PI-1、PI-2和CCF结果均值均要明显高于预后不良组患者,差异均有统计学意义(P<0.05);Logistic分析显示PI-1及CCF异常降低是心脏骤停患者不良预后结局的危险因素,差异均有统计学意义(P<0.05);ROC分析显示,PI-1预测患者良好预后的曲线下面积(AUC)为0.880(95%CI:0.795~0.964),CCF预测患者良好预后的AUC为0.970(95%CI:0.935~1.000),PI-1联合CCF预测患者良好预后的AUC为0.989(95%CI:0.970~1.000)。结论心脏骤停患者接受心肺复苏过程中平均PI以及CCF可能成为预测心肺复苏良好预后的重要指标,且平均PI和CCF同时降低可能与患者的不良预后相关。Objective To analyze the predictive value of the Cardiopulmonary resuscitation quality index(CQI),Perfusion Index(PI),and Chest Compression Fraction(CCF)in the prognosis of patients undergoing cardiopulmonary resuscitation(CPR).Methods A retrospective study was conducted involving 59 patients who experienced cardiac arrest and successfully received CPR in the coronary care unit(CCU)of Zhengzhou University Affiliated Zhengzhou Central Hospital from January 2022 to December 2023.Based on the prognostic outcomes following CPR,patients were divided into a favorable prognosis group(n=41)and an unfavorable prognosis group(n=18).Basic data and differences in CPR-related indicators between the two groups were collected and compared.The differences in CQI,PI,and CCF between the two groups were analyzed,and Logistic regression along with Receiver Operating Characteristic(ROC)curve analysis were used to evaluate the correlation of each indicator with poor prognosis and their predictive value for favorable prognosis.Results There were no statistically significant differences in gender,body mass index(BMI),smoking history,alcohol history,and causes of cardiac arrest between patients with different prognostic outcomes(P>0.05).However,significant differences were found in the age and prevalence of pulmonary complications between the two groups(P<0.05).The average values of CPR-related indicators T_(0),T_(1),and T_(2) times in the favorable prognosis group were significantly shorter than those in the unfavorable prognosis group,with statistically significant differences(P<0.05).The CQI,PI-1,PI-2,and CCF results in the favorable prognosis group were significantly higher than those in the unfavorable prognosis group,with statistically significant differences(P<0.05).Logistic regression analysis indicated that abnormal reductions in PI-1 and CCF were risk factors for poor prognosis in cardiac arrest patients,with statistically significant differences(P<0.05).ROC analysis showed that the area under the curve(AUC)for PI-1 predicting

关 键 词：心肺复苏 心肺复苏质量指数 灌注指数 胸部按压分数 预后分析 

分 类 号：R459.7[医药卫生—急诊医学]