• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

预测医院获得性肺炎患者30天死亡率的评估模型的性能与比较

Performance and comparison of assessment models to predict 30-day mortality in patients with hospital-acquired pneumonia.

作者信息

Wen Jia-Ning, Li Nan, Guo Chen-Xia, Shen Ning, He Bei

机构信息

Department of Respiratory Medicine, Peking University Third Hospital, Beijing 100191, China.

Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China.

出版信息

Chin Med J (Engl). 2020 Dec 3;133(24):2947-2952. doi: 10.1097/CM9.0000000000001252.

DOI:10.1097/CM9.0000000000001252
PMID:33278090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7752693/
Abstract

BACKGROUND

Hospital-acquired pneumonia (HAP) is the most common hospital-acquired infection in China with substantial morbidity and mortality. But no specific risk assessment model has been well validated in patients with HAP. The aim of this study was to investigate the published risk assessment models that could potentially be used to predict 30-day mortality in HAP patients in non-surgical departments.

METHODS

This study was a single-center, retrospective study. In total, 223 patients diagnosed with HAP from 2012 to 2017 were included in this study. Clinical and laboratory data during the initial 24 hours after HAP diagnosis were collected to calculate the pneumonia severity index (PSI); consciousness, urea nitrogen, respiratory rate, blood pressure, and age ≥65 years (CURB-65); Acute Physiology and Chronic Health Evaluation II (APACHE II); Sequential Organ Failure Assessment (SOFA); and Quick Sequential Organ Failure Assessment (qSOFA) scores. The discriminatory power was tested by constructing receiver operating characteristic (ROC) curves, and the areas under the curve (AUCs) were calculated.

RESULTS

The all-cause 30-day mortality rate was 18.4% (41/223). The PSI, CURB-65, SOFA, APACHE II, and qSOFA scores were significantly higher in non-survivors than in survivors (all P < 0.001). The discriminatory abilities of the APACHE II and SOFA scores were better than those of the CURB-65 and qSOFA scores (ROC AUC: APACHE II vs. CURB-65, 0.863 vs. 0.744, Z = 3.055, P = 0.002; APACHE II vs. qSOFA, 0.863 vs. 0.767, Z = 3.017, P = 0.003; SOFA vs. CURB-65, 0.856 vs. 0.744, Z = 2.589, P = 0.010; SOFA vs. qSOFA, 0.856 vs. 0.767, Z = 2.170, P = 0.030). The cut-off values we defined for the SOFA, APACHE II, and qSOFA scores were 4, 14, and 1.

CONCLUSIONS

These results suggest that the APACHE II and SOFA scores determined during the initial 24 h after HAP diagnosis may be useful for the prediction of 30-day mortality in HAP patients in non-surgical departments. The qSOFA score may be a simple tool that can be used to quickly identify severe infections.

摘要

背景

医院获得性肺炎(HAP)是中国最常见的医院获得性感染,具有较高的发病率和死亡率。但尚无针对HAP患者的特异性风险评估模型得到充分验证。本研究旨在调查已发表的可能用于预测非手术科室HAP患者30天死亡率的风险评估模型。

方法

本研究为单中心回顾性研究。共纳入2012年至2017年诊断为HAP的223例患者。收集HAP诊断后最初24小时内的临床和实验室数据,以计算肺炎严重程度指数(PSI);意识、尿素氮、呼吸频率、血压和年龄≥65岁(CURB-65);急性生理与慢性健康状况评估II(APACHE II);序贯器官衰竭评估(SOFA);以及快速序贯器官衰竭评估(qSOFA)评分。通过构建受试者工作特征(ROC)曲线测试鉴别能力,并计算曲线下面积(AUC)。

结果

全因30天死亡率为18.4%(41/223)。非幸存者的PSI、CURB-65、SOFA、APACHE II和qSOFA评分显著高于幸存者(均P<0.001)。APACHE II和SOFA评分的鉴别能力优于CURB-65和qSOFA评分(ROC AUC:APACHE II对CURB-65,0.863对0.744,Z=3.055,P=0.002;APACHE II对qSOFA,0.863对0.767,Z=3.017,P=0.003;SOFA对CURB-65,0.856对0.744,Z=2.589,P=0.010;SOFA对qSOFA,0.856对0.767,Z=2.170,P=0.030)。我们为SOFA、APACHE II和qSOFA评分定义的临界值分别为4、14和1。

结论

这些结果表明,HAP诊断后最初24小时内确定的APACHE II和SOFA评分可能有助于预测非手术科室HAP患者的30天死亡率。qSOFA评分可能是一种可用于快速识别严重感染的简单工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7b3/7752693/5c87798711a3/cm9-133-2947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7b3/7752693/5c87798711a3/cm9-133-2947-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7b3/7752693/5c87798711a3/cm9-133-2947-g001.jpg

相似文献

1
Performance and comparison of assessment models to predict 30-day mortality in patients with hospital-acquired pneumonia.预测医院获得性肺炎患者30天死亡率的评估模型的性能与比较
Chin Med J (Engl). 2020 Dec 3;133(24):2947-2952. doi: 10.1097/CM9.0000000000001252.
2
Efficacy of the quick sequential organ failure assessment for predicting clinical outcomes among community-acquired pneumonia patients presenting in the emergency department.快速序贯器官衰竭评估在预测急诊科就诊的社区获得性肺炎患者临床结局中的疗效。
BMC Infect Dis. 2020 Apr 29;20(1):316. doi: 10.1186/s12879-020-05044-0.
3
Predictive performance of quick Sepsis-related Organ Failure Assessment for mortality and ICU admission in patients with infection at the ED.急诊科感染患者中快速脓毒症相关器官功能衰竭评估对死亡率和入住重症监护病房的预测性能。
Am J Emerg Med. 2016 Sep;34(9):1788-93. doi: 10.1016/j.ajem.2016.06.015. Epub 2016 Jun 7.
4
[A multicenter confirmatory study about precision and practicability of Sepsis-3].关于脓毒症-3(Sepsis-3)精准度与实用性的多中心验证性研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2017 Feb;29(2):99-105. doi: 10.3760/cma.j.issn.2095-4352.2017.02.002.
5
[Predictive value of four different scoring systems for septic patient's outcome: a retrospective analysis with 311 patients].[四种不同评分系统对脓毒症患者预后的预测价值:311例患者的回顾性分析]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2017 Feb;29(2):133-138. doi: 10.3760/cma.j.issn.2095-4352.2017.02.008.
6
[Evaluation value of the quick sequential organ failure assessment score on prognosis of intensive care unit adult patients with infection: a 17-year observation study from the real world].快速序贯器官衰竭评估评分对重症监护病房成年感染患者预后的评估价值:一项基于现实世界的17年观察性研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jun;30(6):544-548. doi: 10.3760/cma.j.issn.2095-4352.2018.06.008.
7
[Diagnostic value of the Sepsis-3 standard for patients with sepsis: a multi-center prospective, observational clinical study].[脓毒症-3标准对脓毒症患者的诊断价值:一项多中心前瞻性观察性临床研究]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Feb;32(2):129-133. doi: 10.3760/cma.j.cn121430-20191224-00024.
8
[Predictive value of SOFA, qSOFA score and traditional evaluation index on sepsis prognosis].[序贯器官衰竭评估(SOFA)、快速序贯器官衰竭评估(qSOFA)评分及传统评估指标对脓毒症预后的预测价值]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2017 Aug;29(8):700-704. doi: 10.3760/cma.j.issn.2095-4352.2017.08.006.
9
[Comparison of four early warning scores in predicting the prognosis of critically ill patients in secondary hospitals].[四种早期预警评分对二级医院重症患者预后预测的比较]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Oct;35(10):1093-1098. doi: 10.3760/cma.j.cn121430-20230614-00441.
10
Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population.比较不同评分系统对老年社区获得性肺炎患者死亡率和 ICU 入院率的预测作用。
Clin Interv Aging. 2021 Oct 28;16:1917-1929. doi: 10.2147/CIA.S335315. eCollection 2021.

引用本文的文献

1
Pentraxin-3 as a novel prognostic biomarker in non-neutropenic invasive pulmonary aspergillosis patients.Pentraxin-3作为非中性粒细胞减少的侵袭性肺曲霉病患者的一种新型预后生物标志物。
Microbiol Spectr. 2025 Mar 4;13(3):e0294524. doi: 10.1128/spectrum.02945-24. Epub 2025 Jan 29.
2
Comparative Effectiveness of CURB-65 and qSOFA Scores in Predicting Pneumonia Outcomes: A Systematic Review.CURB-65和qSOFA评分在预测肺炎预后中的比较有效性:一项系统评价
Cureus. 2024 Oct 13;16(10):e71394. doi: 10.7759/cureus.71394. eCollection 2024 Oct.
3
The importance of high total body water/fat free mass ratio and serial changes in body composition for predicting hospital mortality in patients with severe pneumonia: a prospective cohort study.
高总体水/去脂体重比和身体成分的连续变化对预测重症肺炎患者住院死亡率的重要性:一项前瞻性队列研究。
BMC Pulm Med. 2024 Sep 27;24(1):470. doi: 10.1186/s12890-024-03302-4.
4
Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients.基于可解释性的机器学习用于预测中国重症监护病房患者肺部炎症导致的死亡风险。
Front Med (Lausanne). 2024 Jun 12;11:1399527. doi: 10.3389/fmed.2024.1399527. eCollection 2024.
5
Accuracy of physician and nurse predictions for 28-day prognosis in ICU: a single center prospective study.医生和护士对 ICU 28 天预后预测的准确性:一项单中心前瞻性研究。
Sci Rep. 2023 Dec 12;13(1):22023. doi: 10.1038/s41598-023-49267-y.
6
The Battle of the Pneumonia Predictors: A Comprehensive Meta-Analysis Comparing the Pneumonia Severity Index (PSI) and the CURB-65 Score in Predicting Mortality and the Need for ICU Support.肺炎预测指标之战:一项综合荟萃分析,比较肺炎严重程度指数(PSI)和CURB - 65评分在预测死亡率及重症监护病房(ICU)支持需求方面的情况
Cureus. 2023 Jul 29;15(7):e42672. doi: 10.7759/cureus.42672. eCollection 2023 Jul.
7
MiR-940 Serves as a Diagnostic Biomarker in Patients with Sepsis and Regulates Sepsis-Induced Inflammation and Myocardial Dysfunction.微小RNA-940作为脓毒症患者的诊断生物标志物并调节脓毒症诱导的炎症反应和心肌功能障碍。
J Inflamm Res. 2021 Sep 9;14:4567-4574. doi: 10.2147/JIR.S316169. eCollection 2021.
8
Association between IL-18 gene polymorphisms and Hashimoto thyroiditis.白细胞介素-18 基因多态性与桥本甲状腺炎的关系。
Mol Biol Rep. 2021 Oct;48(10):6703-6708. doi: 10.1007/s11033-021-06659-5. Epub 2021 Aug 30.
9
Prediction of Mortality in Patients After Oncologic Gastrointestinal Surgery: Comparison of the ASA, APACHE II, and POSSUM Scoring Systems.肿瘤性胃肠道手术后患者死亡率的预测:美国麻醉医师协会(ASA)、急性生理与慢性健康状况评分系统II(APACHE II)和手术预后与生存估计模型(POSSUM)评分系统的比较
Cureus. 2021 Mar 4;13(3):e13684. doi: 10.7759/cureus.13684.