• 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

英国南部SAPS II、APACHE II和APACHE III预后模型的外部验证:一项多中心研究。

External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study.

作者信息

Beck Dieter H, Smith Gary B, Pappachan John V, Millar Brian

机构信息

Department of Anaesthesiology and Intensive Care, Charité Hospital, Humboldt University, Schumannstrasse 20-21, 10098 Berlin, Germany.

出版信息

Intensive Care Med. 2003 Feb;29(2):249-56. doi: 10.1007/s00134-002-1607-9. Epub 2003 Jan 18.

DOI:10.1007/s00134-002-1607-9
PMID:12536271
Abstract

OBJECTIVE

External validation of three prognostic models in adult intensive care patients in South England. DESIGN. Prospective cohort study.

SETTING

Seventeen intensive care units (ICU) in the South West Thames Region in South England.

PATIENTS AND PARTICIPANTS

Data of 16646 patients were analysed.

INTERVENTIONS

None.

MEASUREMENTS AND RESULTS

We compared directly the predictive accuracy of three prognostic models (SAPS II, APACHE II and III), using formal tests of calibration and discrimination. The external validation showed a similar pattern for all three models tested: good discrimination, but imperfect calibration. The areas under the receiver operating characteristics (ROC) curves, used to test discrimination, were 0.835 and 0.867 for APACHE II and III, and 0.852 for the SAPS II model. Model calibration was assessed by Lemeshow-Hosmer C-statistics and was Chi(2 )=232.1 for APACHE II, Chi(2 )=443.3 for APACHE III and Chi(2 )=287.5 for SAPS II.

CONCLUSIONS

Disparity in case mix, a higher prevalence of outcome events and important unmeasured patient mix factors are possible sources for the decay of the models' predictive accuracy in our population. The lack of generalisability of standard prognostic models requires their validation and re-calibration before they can be applied with confidence to new populations. Customisation of existing models may become an important strategy to obtain authentic information on disease severity, which is a prerequisite for reliably measuring and comparing the quality and cost of intensive care.

摘要

目的

对英格兰南部成年重症监护患者的三种预后模型进行外部验证。设计:前瞻性队列研究。

地点

英格兰南部泰晤士河西南部地区的17个重症监护病房(ICU)。

患者和参与者

分析了16646例患者的数据。

干预措施

无。

测量与结果

我们使用校准和区分的正式测试,直接比较了三种预后模型(SAPS II、APACHE II和III)的预测准确性。外部验证显示,所测试的所有三种模型都有类似的模式:区分度良好,但校准不完善。用于测试区分度的受试者工作特征(ROC)曲线下面积,APACHE II和III分别为0.835和0.867,SAPS II模型为0.852。通过Lemeshow-Hosmer C统计量评估模型校准,APACHE II的卡方值为232.1,APACHE III为443.3,SAPS II为287.5。

结论

病例组合的差异、结局事件的较高患病率以及重要的未测量患者混杂因素,可能是我们研究人群中模型预测准确性下降的原因。标准预后模型缺乏通用性,在能够自信地应用于新人群之前,需要对其进行验证和重新校准。定制现有模型可能成为获取疾病严重程度真实信息的重要策略,而这是可靠测量和比较重症监护质量与成本的前提条件。

相似文献

1
External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study.英国南部SAPS II、APACHE II和APACHE III预后模型的外部验证:一项多中心研究。
Intensive Care Med. 2003 Feb;29(2):249-56. doi: 10.1007/s00134-002-1607-9. Epub 2003 Jan 18.
2
Ratios of observed to expected mortality are affected by differences in case mix and quality of care.观察到的死亡率与预期死亡率的比值受病例组合和医疗质量差异的影响。
Intensive Care Med. 2000 Oct;26(10):1466-72. doi: 10.1007/s001340000638.
3
Performance of three prognostic models in critically ill patients with cancer: a prospective study.三种预后模型在癌症重症患者中的表现:一项前瞻性研究。
Int J Clin Oncol. 2020 Jul;25(7):1242-1249. doi: 10.1007/s10147-020-01659-0. Epub 2020 Mar 24.
4
Validation of four prognostic scores in patients with cancer admitted to Brazilian intensive care units: results from a prospective multicenter study.四项预后评分在巴西重症监护病房癌症患者中的验证:一项前瞻性多中心研究的结果。
Intensive Care Med. 2010 Jul;36(7):1188-95. doi: 10.1007/s00134-010-1807-7. Epub 2010 Mar 11.
5
Assessment of the performance of five intensive care scoring models within a large Scottish database.在一个大型苏格兰数据库中对五种重症监护评分模型的性能评估。
Crit Care Med. 2000 Jun;28(6):1820-7. doi: 10.1097/00003246-200006000-00023.
6
Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72 h.使用每日序贯器官衰竭评估(SAPS)II 评分和住院死亡概率(LOD)评分的综合评分预测入住重症监护病房(ICU)超过72小时患者医院死亡率的准确性。
Intensive Care Med. 2001 Jun;27(6):1012-21. doi: 10.1007/s001340100961.
7
Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: a simulation study.死亡率对急性生理学与慢性健康状况评价系统II性能的影响:一项模拟研究
Crit Care Med. 2000 Oct;28(10):3424-8. doi: 10.1097/00003246-200010000-00008.
8
Evaluation of two outcome prediction models on an independent database.在一个独立数据库上对两种结果预测模型进行评估。
Crit Care Med. 1998 Jan;26(1):50-61. doi: 10.1097/00003246-199801000-00016.
9
Performance of three prognostic models in patients with cancer in need of intensive care in a medical center in China.中国某医疗中心中,三种预后模型在需要重症监护的癌症患者中的表现。
PLoS One. 2015 Jun 25;10(6):e0131329. doi: 10.1371/journal.pone.0131329. eCollection 2015.
10
Comparison of predictive accuracy among six prognosis prediction systems for patient mortality in intensive care units.六种重症监护病房患者死亡率预后预测系统的预测准确性比较。
J Formos Med Assoc. 2002 Jun;101(6):406-15.

引用本文的文献

1
Estimating resting energy expenditure in critically ill patients: a retrospective exploratory comparison of predictive equations and Fick-derived Weir estimates in Italy.危重症患者静息能量消耗的估算:意大利预测方程与基于菲克法的韦尔估算值的回顾性探索性比较
Acute Crit Care. 2025 Aug;40(3):491-504. doi: 10.4266/acc.001300. Epub 2025 Aug 29.
2
Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury.将常规血液检测轨迹建模为脊髓损伤预后的动态生物标志物。
NPJ Digit Med. 2025 Jul 22;8(1):470. doi: 10.1038/s41746-025-01782-0.
3
Spontaneous diuresis in combination with furosemide stress test (SD-FST) as predictor for successful liberation from kidney replacement therapy: a prospective observational study.

本文引用的文献

1
Waiting for the break of dawn? The effects of discharge time, discharge TISS scores and discharge facility on hospital mortality after intensive care.等待黎明的破晓?重症监护后出院时间、出院TISS评分及出院机构对医院死亡率的影响。
Intensive Care Med. 2002 Sep;28(9):1287-93. doi: 10.1007/s00134-002-1412-5. Epub 2002 Aug 1.
2
The effects of two methods for customising the original SAPS II model for intensive care patients from South England.两种针对英格兰南部重症监护患者定制原始简化急性生理学评分系统(SAPS II)模型的方法的效果。
Anaesthesia. 2002 Aug;57(8):785-93. doi: 10.1046/j.1365-2044.2002.02698_2.x.
3
Critical care outcomes.
自发性利尿联合呋塞米应激试验(SD-FST)作为肾脏替代治疗成功脱机的预测指标:一项前瞻性观察研究。
Crit Care. 2025 May 26;29(1):214. doi: 10.1186/s13054-025-05452-1.
4
Clinical Utility of the Tokyo Guidelines 2018 for Acute Cholangitis in the Emergency Department and Comparison with Novel Markers (Neutrophil-to-Lymphocyte and Blood Nitrogen Urea-to-Albumin Ratios).《2018东京指南》在急诊科对急性胆管炎的临床应用及与新标志物(中性粒细胞与淋巴细胞比值和血尿素氮与白蛋白比值)的比较
J Clin Med. 2024 Apr 16;13(8):2306. doi: 10.3390/jcm13082306.
5
Kidney replacement and conservative therapies in rhabdomyolysis: a retrospective analysis.横纹肌溶解症中的肾脏替代治疗与保守疗法:回顾性分析。
BMC Nephrol. 2024 Mar 14;25(1):96. doi: 10.1186/s12882-024-03536-8.
6
Metagenomic assessment of gut microbial communities and risk of severe COVID-19.肠道微生物群落的宏基因组评估与严重 COVID-19 风险。
Genome Med. 2023 Jul 12;15(1):49. doi: 10.1186/s13073-023-01202-6.
7
Rationale, Design, and Methodology of the MORCOR-TURK Trial: Predictors of In-hospital MORtality in CORonary Care Patients in Turkey.MORCOR-TURK 试验的原理、设计和方法:土耳其冠心病监护病房患者住院死亡率的预测因素。
Anatol J Cardiol. 2023 May;27(5):258-265. doi: 10.14744/AnatolJCardiol.2022.2824.
8
Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database.死亡率风险预测模型的可推广性挑战:对多中心数据库的回顾性分析
PLOS Digit Health. 2022 Apr 5;1(4):e0000023. doi: 10.1371/journal.pdig.0000023. eCollection 2022 Apr.
9
An AI based digital-twin for prioritising pneumonia patient treatment.基于人工智能的肺炎患者治疗优先级数字孪生体。
Proc Inst Mech Eng H. 2022 Nov;236(11):1662-1674. doi: 10.1177/09544119221123431. Epub 2022 Sep 18.
10
Development and validation of a deep learning model to predict the survival of patients in ICU.开发和验证一种深度学习模型,以预测 ICU 患者的生存率。
J Am Med Inform Assoc. 2022 Aug 16;29(9):1567-1576. doi: 10.1093/jamia/ocac098.
重症监护结果。
Anaesthesia. 2001 Jan;56(1):1-3. doi: 10.1046/j.1365-2044.2001.01903.x.
4
Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: a simulation study.死亡率对急性生理学与慢性健康状况评价系统II性能的影响:一项模拟研究
Crit Care Med. 2000 Oct;28(10):3424-8. doi: 10.1097/00003246-200010000-00008.
5
Assessment of the performance of five intensive care scoring models within a large Scottish database.在一个大型苏格兰数据库中对五种重症监护评分模型的性能评估。
Crit Care Med. 2000 Jun;28(6):1820-7. doi: 10.1097/00003246-200006000-00023.
6
Consequences of discharges from intensive care at night.夜间重症监护病房出院的后果。
Lancet. 2000 Apr 1;355(9210):1138-42. doi: 10.1016/S0140-6736(00)02062-6.
7
What do we mean by validating a prognostic model?验证一个预后模型是什么意思?
Stat Med. 2000 Feb 29;19(4):453-73. doi: 10.1002/(sici)1097-0258(20000229)19:4<453::aid-sim350>3.0.co;2-5.
8
Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit.急性生理学与慢性健康状况评估II和III与简化急性生理学评分II的比较:一项前瞻性队列研究,评估这些方法在德国跨学科重症监护病房中预测预后的情况。
Crit Care Med. 2000 Jan;28(1):26-33. doi: 10.1097/00003246-200001000-00005.
9
Evaluation of an interdisciplinary data set for national intensive care unit assessment.用于国家重症监护病房评估的跨学科数据集评估
Crit Care Med. 1999 Aug;27(8):1486-91. doi: 10.1097/00003246-199908000-00014.
10
Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system.经APACHE III预后系统对病例组合进行调整后,重症监护病房入院结局的比较。
Chest. 1999 Mar;115(3):802-10. doi: 10.1378/chest.115.3.802.