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降钙素原和临床严重程度评分对急诊科社区获得性肺炎的风险分层和预测价值。

Risk stratification and prediction value of procalcitonin and clinical severity scores for community-acquired pneumonia in ED.

机构信息

Department of Emergency Medicine, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.

Department of Emergency Medicine, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.

出版信息

Am J Emerg Med. 2018 Dec;36(12):2155-2160. doi: 10.1016/j.ajem.2018.03.050. Epub 2018 Mar 21.

Abstract

OBJECTIVE

Community-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.

METHODS

226 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.

RESULTS

Fifty-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 < 0.001). The AUCs of the PCT and CURB65, PSI, SOFA and qSOFA in predicting SCAP were 0.875, 0.805, 0.810, 0.852 and 0.724, respectively. PCT is superior in predicting SCAP and the models combining PCT and SOFA demonstrated superior performance to those of PCT or the CAP severity score alone. The AUCs of the PCT and CURB65, PSI, SOFA and qSOFA in predicting 28-day mortality were 0.822, 0.829, 0.813, 0.913 and 0.717, respectively. SOFA achieved the highest AUC and the combination of PCT and SOFA had the highest superiority over other combinations in predicting 28-day mortality.

CONCLUSION

Serum PCT is a valuable single predictor for SCAP. SOFA is superior in prediction of 28-day mortality. Combination of PCT and SOFA could improve the performance of single predictors. More further studies with larger sample size are warranted to validate our results.

摘要

目的

社区获得性肺炎(CAP)是急诊科常见的就诊病症,且病死率较高。本研究旨在探讨降钙素原(PCT)和临床严重程度评分对急诊科 CAP 患者的风险分层和预后预测价值。

方法

连续纳入 226 例入住我院急诊科的成人 CAP 患者,分析其人口统计学信息和临床参数,包括 PCT 水平。计算 CURB65、PSI、SOFA 和 qSOFA 评分,并比较重症 CAP(SCAP)和非重症 CAP(NSCAP)组或死亡和存活组之间的评分。使用截断值计算 28 天死亡率的每个预测因子的受试者工作特征(ROC)曲线。使用逻辑回归模型和曲线下面积(AUC)分析比较预测因子的性能。

结果

51 例患者被归类为 SCAP,49 例患者在 28 天内死亡。在 SCAP 和 NSCAP 组或死亡和存活组之间,PCT 水平和 CURB65、PSI、SOFA、qSOFA 评分存在显著差异(均 P<0.001)。PCT 和 CURB65、PSI、SOFA、qSOFA 预测 SCAP 的 AUC 分别为 0.875、0.805、0.810、0.852 和 0.724。PCT 对预测 SCAP 更具优势,且 PCT 与 SOFA 联合的模型在预测 SCAP 方面优于 PCT 或 CAP 严重程度评分单独使用的模型。PCT 和 CURB65、PSI、SOFA、qSOFA 预测 28 天死亡率的 AUC 分别为 0.822、0.829、0.813、0.913 和 0.717。SOFA 的 AUC 最高,且 PCT 和 SOFA 联合预测 28 天死亡率的优势高于其他联合模型。

结论

血清 PCT 是预测 SCAP 的有价值的单一预测因子。SOFA 更适合预测 28 天死亡率。PCT 和 SOFA 的联合可以提高单一预测因子的性能。需要更大样本量的进一步研究来验证我们的结果。

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