Predictors of Failure to Rescue After Postoperative Respiratory Failure: A Retrospective Cohort Analysis of 13,047 Patients Using the ACS-NSQIP Dataset
Karamchandani K, Khorsand S, Ebeling C, Yan L, Nakonezny P, Carr Z. Predictors of Failure to Rescue After Postoperative Respiratory Failure: A Retrospective Cohort Analysis of 13,047 Patients Using the ACS-NSQIP Dataset. Journal Of Surgical Research 2023, 293: 482-489. PMID: 37827025, DOI: 10.1016/j.jss.2023.09.030.Peer-Reviewed Original ResearchConceptsPostoperative respiratory failurePredictors of failureDay of surgeryRespiratory failureNoncardiac surgeryNational Surgical Quality Improvement Project databaseSurgeons National Surgical Quality Improvement Project databaseMultiple logistic regression modelACS-NSQIP datasetsPreoperative prealbumin levelRetrospective cohort studyAnesthesiologists physical statusRetrospective cohort analysisLogistic regression modelsPreoperative ascitesPreoperative creatininePostoperative complicationsPrealbumin levelsCohort studyStudy cohortDisseminated cancerCohort analysisAmerican CollegePatientsPhysical status