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首页> 外文期刊>The American journal of emergency medicine >Risk stratification and prediction value of procalcitonin and clinical severity scores for community-acquired pneumonia in ED
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Risk stratification and prediction value of procalcitonin and clinical severity scores for community-acquired pneumonia in ED

机译:艾德综合肺炎治疗肺炎临床严重程度的风险分层及预测价值

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ObjectiveCommunity-acquired pneumonia (CAP) is a common presentation to the emergency department (ED) and has high mortality rates. The aim of our study is to investigate the risk stratification and prognostic prediction value of precalcitonin (PCT) and clinical severity scores on patients with CAP in ED. Methods226 consecutive adult patients with CAP admitted in ED of a tertiary teaching hospital were enrolled. Demographic information and clinical parameters including PCT levels were analyzed. CURB65, PSI, SOFA and qSOFA scores were calculated and compared between the severe CAP (SCAP) and non-severe CAP (NSCAP) group or the death and survival group. Receiver-operating characteristic (ROC) curves for 28-day mortality were calculated for each predictor using cut-off values. Logistic regression models and area under the curve (AUC) analysis were performed to compare the performance of predictors. ResultsFifty-one patients were classified as SCAP and forty-nine patients died within 28days. There was significant difference between either SCAP and NSCAP group or death and survival group in PCT level and CURB65, PSI, SOFA, qSOFA scores (p?
机译:象牙传导收购的肺炎(上限)是对急诊部门(ED)的常见演示,并具有高死亡率。我们的研究目的是探讨预催化剂(PCT)(PCT)的风险分层和预测预测值,以及在ED中帽患者的临床严重性评分。方法226分226人在第三教学医院ED中录取了CAP的连续成年患者。分析了包括PCT水平的人口统计信息和临床参数。计算和比较严重的帽(SCAP)和非严重帽(NScap)组或死亡和存活组之间计算Curb65,PSI,沙发和QSOFA分数。使用截止值对每个预测器计算28天死亡率的接收器操作特征(ROC)曲线。进行曲线(AUC)分析下的逻辑回归模型和面积以比较预测器的性能。结果一项患者被归类为SCAP和第49名患者在28天内死亡。 PCT水平和Curb65,PSI,沙发,QSOFA分数的PCT和NScap组或死亡和生存组之间存在显着差异,PSI,SOFA,QSOFA评分(P?<0.001)。 PCT和Curb65,PSI,沙发和QSOFA的AUC分别预测SCAP的0.875,0.805,0.810,0.852和0.724。 PCT在预测SCAP方面是优越的,并且组合PCT和沙发的模型对PCT的卓越性能表现出卓越的性能或单独的CAP严重性得分。 PCT和Curb65,PSI,沙发和QSOFA预测28天死亡率的AUC分别为0.822,0.829,0.813,0.913和0.717。沙发达到了最高的AUC,PCT和沙发的组合在预测28天死亡率的其他组合中具有最高的优越性。 COMBISIOSERUM PCT是一个有价值的单个预测因子。沙发在预测28天的死亡率方面是优越的。 PCT和沙发的组合可以提高单一预测器的性能。有必要更具更大的样本大小的研究来验证我们的结果。

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