2050年的重症医学：用于构建预后模型的统计工具（为何临床医生不应被忽视）。 - Suppr

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Intensive care medicine in 2050: statistical tools for development of prognostic models (why clinicians should not be ignored).

作者信息

Poole Daniele, Carrara Greta, Bertolini Guido

机构信息

Anesthesia and Intensive Care Operative Unit, S. Martino Hospital, Belluno, Italy.

GiViTI Coordinating Center, IRCCS-Istituto di Ricerche Farmacologiche 'Mario Negri', Ranica, Bergamo, Italy.

出版信息

Intensive Care Med. 2017 Sep;43(9):1403-1406. doi: 10.1007/s00134-017-4825-x. Epub 2017 Jun 2.

DOI:10.1007/s00134-017-4825-x

PMID:28577068

Abstract

摘要

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A new test and graphical tool to assess the goodness of fit of logistic regression models.

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Calibration belt for quality-of-care assessment based on dichotomous outcomes.

PLoS One. 2011 Feb 23;6(2):e16110. doi: 10.1371/journal.pone.0016110.

External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units.

Intensive Care Med. 2009 Nov;35(11):1916-24. doi: 10.1007/s00134-009-1615-0. Epub 2009 Aug 14.

Outcome prediction in critical care: the Simplified Acute Physiology Score models.

Curr Opin Crit Care. 2008 Oct;14(5):485-90. doi: 10.1097/MCC.0b013e32830864d7.

Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom.

Crit Care Med. 2006 May;34(5):1378-88. doi: 10.1097/01.CCM.0000216702.94014.75.

Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: a simulation study.

Crit Care Med. 2000 Oct;28(10):3424-8. doi: 10.1097/00003246-200010000-00008.

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Intensive Care Med. 1998 Jan;24(1):40-7. doi: 10.1007/s001340050513.

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相似文献

Intensive care medicine in 2050: statistical tools for development of prognostic models (why clinicians should not be ignored).

Intensive Care Med. 2017 Sep;43(9):1403-1406. doi: 10.1007/s00134-017-4825-x. Epub 2017 Jun 2.

[Not Available].

Ther Umsch. 2017 Jul;74(2):45-50. doi: 10.1024/0040-5930/a000881.

[Not Available].

Ther Umsch. 2017 Jul;74(2):51-54. doi: 10.1024/0040-5930/a000886.

[Does intensive care medicine have a future with Generation Y?].

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Crit Care Med. 2004 May;32(5):1097-9. doi: 10.1097/01.ccm.0000124874.97761.3d.

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Intensive Care Med. 2017 Sep;43(9):1401-1402. doi: 10.1007/s00134-016-4556-4. Epub 2016 Oct 4.

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Crit Care Med. 2001 Feb;29(2):436-7. doi: 10.1097/00003246-200102000-00040.

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Crit Care Med. 2004 Nov;32(11):2365-6. doi: 10.1097/01.ccm.0000145981.87091.df.

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Intensive Care Med. 2017 Aug;43(8):1138-1140. doi: 10.1007/s00134-017-4703-6. Epub 2017 Feb 8.

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South Med J. 2003 Apr;96(4):329-30. doi: 10.1097/01.SMJ.0000063473.32593.7B.

引用本文的文献

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Intensive Care Med. 2019 Jul;45(7):977-987. doi: 10.1007/s00134-019-05653-7. Epub 2019 May 29.

Focus on improved patient management.

Intensive Care Med. 2019 Apr;45(4):539-541. doi: 10.1007/s00134-018-5488-y. Epub 2018 Dec 17.

Prediction of optimal outcomes in organ transplantation.

Intensive Care Med. 2019 Mar;45(3):367-370. doi: 10.1007/s00134-018-5472-6. Epub 2018 Nov 27.

Validation of the ICH score in patients with spontaneous intracerebral haemorrhage admitted to the intensive care unit in Southern Spain.

BMJ Open. 2018 Aug 13;8(8):e021719. doi: 10.1136/bmjopen-2018-021719.

本文引用的文献

A new test and graphical tool to assess the goodness of fit of logistic regression models.

Stat Med. 2016 Feb 28;35(5):709-20. doi: 10.1002/sim.6744. Epub 2015 Oct 5.

A new calibration test and a reappraisal of the calibration belt for the assessment of prediction models based on dichotomous outcomes.

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PLoS One. 2011 Feb 23;6(2):e16110. doi: 10.1371/journal.pone.0016110.

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Crit Care Med. 2006 May;34(5):1378-88. doi: 10.1097/01.CCM.0000216702.94014.75.

Effect of mortality rate on the performance of the Acute Physiology and Chronic Health Evaluation II: a simulation study.

Crit Care Med. 2000 Oct;28(10):3424-8. doi: 10.1097/00003246-200010000-00008.

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Intensive Care Med. 1998 Jan;24(1):40-7. doi: 10.1007/s001340050513.

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Am J Epidemiol. 1982 Jan;115(1):92-106. doi: 10.1093/oxfordjournals.aje.a113284.