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SCAP 评分对社区获得性肺炎低危患者的预测价值及其与其他评分的比较

Validation and comparison of SCAP as a predictive score for identifying low-risk patients in community-acquired pneumonia.

机构信息

Pneumology Service Hospital Galdakao, E-48960 Galdakao, Bizkaia, Spain.

出版信息

J Infect. 2010 Feb;60(2):106-13. doi: 10.1016/j.jinf.2009.11.013. Epub 2009 Dec 2.

Abstract

PURPOSES

(1) To validate the Severe Community Acquired Pneumonia (SCAP) score in predicting 30-day mortality. (2) To validate its ability to identifying patients at low risk of death. (3) To compare it against the Pneumonia Severity Index (PSI), and the British Thoracic Society's CURB-65 rules.

METHODS

The SCAP score was validated to predict 30-day mortality in an internal validation cohort of consecutive adult patients seen in one hospital. Consecutive inpatients from other three hospitals were used to externally validate the score and compare the SCAP with the PSI and CURB-65. The discriminatory power of these rules to predict 30-day mortality was tested by the Area under Curve (AUC), and their predictive accuracy with the sensitivity, specificity and predictive values.

RESULTS

The 30-day mortality rate increased directly with increasing SCAP score (class 0: 0.5%, to class 4: 66.5% risk) in the internal validation cohort, and from 1.3% to 29.2% in external cohort (P<0.001) with an AUC of 0.83 and 0.75, respectively (P=0.024). The SCAP score identified 62.4% (95% IC 58.8-66.0) low-risk patients, 52.5% (95% IC 48.8-56.2) the PSI and 46.2% (95% CI 42.5-49.9) the CURB-65 in the external cohort. Patients classified as low risk by the three rules had similar 30-day mortality (SCAP: 2.5%, PSI: 1.6% and CURB-65: 2.7%).

CONCLUSION

The SCAP is valid to predict 30-day mortality among low-risk patients and identifies a larger proportion of patients as low-risk than the other studied rules.

摘要

目的

(1)验证严重社区获得性肺炎(SCAP)评分预测 30 天死亡率的能力。(2)验证其识别低死亡风险患者的能力。(3)与肺炎严重指数(PSI)和英国胸科学会的 CURB-65 规则进行比较。

方法

在一家医院连续观察的成年患者内部验证队列中,对 SCAP 评分进行验证,以预测 30 天死亡率。另外三家医院的连续住院患者用于外部验证评分,并比较 SCAP 与 PSI 和 CURB-65。通过曲线下面积(AUC)测试这些规则预测 30 天死亡率的区分能力,并通过灵敏度、特异性和预测值测试其预测准确性。

结果

内部验证队列中,30 天死亡率随 SCAP 评分的增加而直接增加(0 级:0.5%,4 级:66.5%风险),外部队列中从 1.3%增加到 29.2%(P<0.001),AUC 分别为 0.83 和 0.75(P=0.024)。SCAP 评分在外部队列中识别出 62.4%(95%可信区间 58.8-66.0)的低危患者、52.5%(95%可信区间 48.8-56.2)的 PSI 和 46.2%(95%可信区间 42.5-49.9)的 CURB-65。三种规则分类为低危的患者 30 天死亡率相似(SCAP:2.5%,PSI:1.6%,CURB-65:2.7%)。

结论

SCAP 可有效预测低危患者的 30 天死亡率,并识别出比其他研究规则更多的低危患者。

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