A M Arozullah1, J Daley, W G Henderson, S F Khuri. 1. Section of General Internal Medicine, University of Illinois College of Medicine, Chicago, Illinois 60612, USA. arozulla@uic.edu
Abstract
OBJECTIVE: To develop and validate a preoperative risk index for predicting postoperative respiratory failure (PRF). SUMMARY BACKGROUND DATA: Respiratory failure is an important postoperative complication. METHOD: Based on a prospective cohort study, cases from 44 Veterans Affairs Medical Centers (n = 81,719) were used to develop the models. Cases from 132 Veterans Affairs Medical Centers (n = 99,390) were used as a validation sample. PRF was defined as mechanical ventilation for more than 48 hours after surgery or reintubation and mechanical ventilation after postoperative extubation. Ventilator-dependent, comatose, do not resuscitate, and female patients were excluded. RESULTS: PRF developed in 2,746 patients (3.4%). The respiratory failure risk index was developed from a simplified logistic regression model and included abdominal aortic aneurysm repair, thoracic surgery, neurosurgery, upper abdominal surgery, peripheral vascular surgery, neck surgery, emergency surgery, albumin level less than 30 g/L, blood urea nitrogen level more than 30 mg/dL, dependent functional status, chronic obstructive pulmonary disease, and age. CONCLUSIONS: The respiratory failure risk index is a validated model for identifying patients at risk for developing PRF and may be useful for guiding perioperative respiratory care.
OBJECTIVE: To develop and validate a preoperative risk index for predicting postoperative respiratory failure (PRF). SUMMARY BACKGROUND DATA: Respiratory failure is an important postoperative complication. METHOD: Based on a prospective cohort study, cases from 44 Veterans Affairs Medical Centers (n = 81,719) were used to develop the models. Cases from 132 Veterans Affairs Medical Centers (n = 99,390) were used as a validation sample. PRF was defined as mechanical ventilation for more than 48 hours after surgery or reintubation and mechanical ventilation after postoperative extubation. Ventilator-dependent, comatose, do not resuscitate, and female patients were excluded. RESULTS: PRF developed in 2,746 patients (3.4%). The respiratory failure risk index was developed from a simplified logistic regression model and included abdominal aortic aneurysm repair, thoracic surgery, neurosurgery, upper abdominal surgery, peripheral vascular surgery, neck surgery, emergency surgery, albumin level less than 30 g/L, blood ureanitrogen level more than 30 mg/dL, dependent functional status, chronic obstructive pulmonary disease, and age. CONCLUSIONS: The respiratory failure risk index is a validated model for identifying patients at risk for developing PRF and may be useful for guiding perioperative respiratory care.
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