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基于 Sepsis 3.0 标准,SAPS III 比 SOFA 更能预测脓毒症患者 28 天死亡率。

SAPS III is superior to SOFA for predicting 28-day mortality in sepsis patients based on Sepsis 3.0 criteria.

机构信息

Department of Intensive Care Unit, Guangzhou Red Cross Hospital, Jinan University, Guangzhou 510220, Guangdong Province, China.

Guangzhou Women and Children's Medical Center, Guangzhou 510220, Guangdong Province, China.

出版信息

Int J Infect Dis. 2022 Jan;114:135-141. doi: 10.1016/j.ijid.2021.11.015. Epub 2021 Nov 11.

Abstract

INTRODUCTION

The discrimination and calibration accuracy of prediction models tends to become poor over time. The performance of predictive models should be reevaluated periodically. The aim of this study was to reassess the discrimination of the six commonly used models for predicting 28-day mortality in patients with sepsis based on the Sepsis 3.0 criteria.

METHODS

Patient data were extracted from the fourth edition of the Medical Information Mart for Critical Care (MIMIC IV) database. The systemic inflammatory response syndrome (SIRS), Sequential Organ Failure Assessment (SOFA), Oxford Acute Severity of Illness Score (OASIS), Logistic Organ Dysfunction System (LODS), and Simplified Acute Physiology Score II (SAPS II) and III (SAPS III) scores were calculated and collected. The area under the receiver operating characteristic curve (AUROC) was used to compare the discrimination abilities of the models using non-parametric Wilcoxon statistics. The Delong method was used to perform pairwise comparisons of the AUROCs of the models. Multiple subgroup analyses for age, body mass index, and sex were performed with regard to the 28-day mortality prediction of the models.

RESULTS

A total of 12 691 patients were included. The mean age of the patients was 65.97 ± 15.77 years; 7673 patients (60.50%) were male. The mean SIRS, SOFA, OASIS, SAPS II, LODS, and SAPS III scores were higher in the non-survivor group than in the survivor group. The discrimination for 28-day mortality with the SAPS III (AUROC 0.812, 95% confidence interval (CI) 0.802-0.822) and LODS (AUROC 0.804, 95% CI 0.743-0.765) models was superior to that of the SIRS (AUROC 0.575, 95% CI 0.562-0.589), SOFA (AUROC 0.612, 95% CI 0.598-0.626), OASIS (AUROC 0.753, 95% CI 0.742-0.764), and SAPS II (AUROC 0.754, 95% CI 0.743-0.765) models. The Youden index of the SAPS III model was 0.484, which was the highest among the models. Subgroup analyses showed similar results to the overall results.

CONCLUSIONS

The discrimination for 28-day mortality with the SAPS III and LODS models was superior to that of the SIRS, SOFA, OASIS, and SAPS II models. The SAPS III model showed the best discrimination capacity for 28-day mortality compared with the other models.

摘要

简介

预测模型的判别能力和校准精度往往会随时间推移而变差。应定期重新评估预测模型的性能。本研究的目的是根据 Sepsis 3.0 标准,重新评估常用于预测脓毒症患者 28 天死亡率的六种模型的判别能力。

方法

从第四版医疗信息集市重症监护版(MIMIC IV)数据库中提取患者数据。计算并收集全身炎症反应综合征(SIRS)、序贯器官衰竭评估(SOFA)、牛津急性严重疾病评分(OASIS)、Logistic 器官功能障碍系统(LODS)和简化急性生理学评分 II(SAPS II)和 III(SAPS III)评分。使用非参数 Wilcoxon 统计比较模型的受试者工作特征曲线(ROC)下面积(AUROC),以比较模型的判别能力。使用 Delong 方法对模型的 AUROC 进行两两比较。针对模型对 28 天死亡率的预测,对年龄、体重指数和性别进行了多项亚组分析。

结果

共纳入 12691 例患者。患者的平均年龄为 65.97±15.77 岁,7673 例(60.50%)为男性。与幸存者相比,非幸存者的 SIRS、SOFA、OASIS、SAPS II、LODS 和 SAPS III 评分均较高。SAPS III(AUROC 0.812,95%置信区间[CI]0.802-0.822)和 LODS(AUROC 0.804,95% CI 0.743-0.765)模型对 28 天死亡率的判别优于 SIRS(AUROC 0.575,95% CI 0.562-0.589)、SOFA(AUROC 0.612,95% CI 0.598-0.626)、OASIS(AUROC 0.753,95% CI 0.742-0.764)和 SAPS II(AUROC 0.754,95% CI 0.743-0.765)模型。SAPS III 模型的约登指数为 0.484,在所有模型中最高。亚组分析结果与总体结果相似。

结论

SAPS III 和 LODS 模型对 28 天死亡率的判别优于 SIRS、SOFA、OASIS 和 SAPS II 模型。与其他模型相比,SAPS III 模型对 28 天死亡率的判别能力最好。

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