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预测重症社区获得性肺炎评分系统的验证

Validation of scoring systems for predicting severe community-acquired pneumonia.

作者信息

Fukuyama Hajime, Ishida Tadashi, Tachibana Hiromasa, Nakagawa Hiroaki, Iwasaku Masahiro, Saigusa Mika, Yoshioka Hiroshige, Arita Machiko, Hashimoto Toru

机构信息

Department of Respiratory Medicine, Kurashiki Central Hospital, Japan.

出版信息

Intern Med. 2011;50(18):1917-22. doi: 10.2169/internalmedicine.50.5279. Epub 2011 Sep 15.

Abstract

OBJECTIVE

Several scoring systems have been derived to identify patients with severe community-acquired pneumonia (CAP). Recently, España et al (Am J Respir Crit Care Med 174:1249-1256, 2006) developed a clinical prediction rule that predicts hospital mortality, the need for mechanical ventilation, and risk for septic shock. We assessed the performance of this rule and compared it with other published scoring systems.

METHODS

A prospective study was conducted of patients with CAP who were hospitalized at our hospital from April 2007 till May 2009. Clinical and laboratory features at presentation were recorded and used in order to calculate España rule, the pneumonia severity index (PSI), CURB-65, A-DROP, the 2007 Infectious Diseases Society of America/American Thoracic Society (IDSA/ATS) prediction rule and SMART-COP. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were compared for adverse outcomes. We also assessed the association of the España rule criteria and adverse outcomes.

RESULTS

A total of 505 patients were enrolled in the study. The overall in-hospital mortality rate was 6.5%, and 6.3% of patients were admitted to the intensive care unit (ICU). Sixty-two (12.3%) patients were defined as having severe CAP (in-hospital death or need for mechanical ventilation or septic shock). España rule achieved highest sensitivity and NPV in predicting severe CAP. When ICU admission was the outcome measure, the IDSA/ATS rule and SMART-COP were regarded to be good predictors.

CONCLUSION

España rule performed well in identifying patients with severe CAP. As a result, each of the severity scores has advantages and limitations for predicting adverse outcomes.

摘要

目的

已得出多种评分系统用于识别重症社区获得性肺炎(CAP)患者。最近,埃斯帕尼亚等人(《美国呼吸与危重症医学杂志》174:1249 - 1256,2006年)制定了一项临床预测规则,可预测医院死亡率、机械通气需求及感染性休克风险。我们评估了该规则的性能,并将其与其他已发表的评分系统进行比较。

方法

对2007年4月至2009年5月在我院住院的CAP患者进行前瞻性研究。记录就诊时的临床和实验室特征,并用于计算埃斯帕尼亚规则、肺炎严重程度指数(PSI)、CURB - 65、A - DROP、2007年美国感染病学会/美国胸科学会(IDSA/ATS)预测规则和SMART - COP。比较各评分系统对不良结局的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。我们还评估了埃斯帕尼亚规则标准与不良结局之间的关联。

结果

共纳入505例患者进行研究。总体住院死亡率为6.5%,6.3%的患者入住重症监护病房(ICU)。62例(12.3%)患者被定义为患有重症CAP(住院死亡或需要机械通气或感染性休克)。埃斯帕尼亚规则在预测重症CAP方面具有最高的敏感性和NPV。当以入住ICU作为结局指标时,IDSA/ATS规则和SMART - COP被认为是良好的预测指标。

结论

埃斯帕尼亚规则在识别重症CAP患者方面表现良好。因此,每种严重程度评分在预测不良结局方面都有其优点和局限性。

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