Development and validation of a survival prediction model for patients received mechanical ventilation in the intensive care unit: a large sample size cohort from the MIMIC database
Author(s) -
Zhaoheng Lin,
Xiuying Huang,
Xiyun Shan
Publication year - 2022
Publication title -
annals of palliative medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.546
H-Index - 19
eISSN - 2224-5839
pISSN - 2224-5820
DOI - 10.21037/apm-22-646
Subject(s) - medicine , nomogram , mechanical ventilation , intensive care unit , intensive care , emergency medicine , cohort , proportional hazards model , retrospective cohort study , receiver operating characteristic , saps ii , glasgow coma scale , cohort study , intensive care medicine , apache ii , surgery
Mechanical ventilation remains one of the primary management measures for critically ill patients in intensive care units (ICUs). However, previous studies on the prognosis prediction of ICU patients received mechanical ventilation were limited. This study was to develop and validate a nomogram for predicting short- and long-term survival among patients who received mechanical ventilation in the ICU.
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