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Predictors and outcomes of postoperative respiratory failure after cardiac surgery
Author(s) -
Thanavaro Joanne,
Taylor John,
Vitt Linda,
Guig Mary S.,
Thanavaro Samer
Publication year - 2020
Publication title -
journal of evaluation in clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.737
H-Index - 73
eISSN - 1365-2753
pISSN - 1356-1294
DOI - 10.1111/jep.13334
Subject(s) - medicine , incidence (geometry) , pleural effusion , cardiac surgery , atrial fibrillation , mechanical ventilation , respiratory failure , population , intensive care unit , complication , cardiology , surgery , anesthesia , physics , environmental health , optics
Background Postoperative respiratory failure after cardiac surgery (CS‐PRF) is a devastating complication and its incidence and predictors vary depending on how it is defined and the patient population. Aims This study was conducted to determine the incidence, predictors and outcomes of CS‐PRF defined as prolonged mechanical ventilation >48 hours and reintubation. Methods This is a retrospective chart review of 1257 patients who underwent cardiac surgery between June 2011 and December 2018. The research questions were addressed through bivariate inferential, descriptive and binary logistic regression .Results The overall incidence of CS‐PRF was 15.9% and significant regression predictors included diabetes mellitus (OR = 1.77, P = .001), preoperative renal replacement therapy (OR = 2.07, P = .033), need for intraoperative transfusion (OR = 2.35, P = .000), combined coronary bypass/valvular surgery (OR = 2.61, P = .001) and intra‐aortic balloon pump (OR = 3.60, P = .000). CS‐PRF patients had increased postoperative blood transfusions (69.5% vs 27.9%, P = .000), reoperation for bleeding (9.0 vs 0.4%, P = .000), pleural effusion (13.5% vs 4.1%, P = .000), pneumonia (33.5% vs 1.6%, P = .000), acute kidney injury (70.9% vs 39.9%, P = .000), atrial fibrillation (42.5% vs 26.3%, P = .000), coma/encephalopathy (21.5% vs 3.3%, P = .000) and cerebrovascular accident (6.0% vs 1.3%, P = .000). They also had longer intensive care (262.1 vs 97.4 hours, P = .000) and hospital lengths of stay (17 vs 8 days, P = .000), and increased in‐hospital mortality (17.5% vs 0.4%, P = .000). Survivors of CS‐PRF were less likely to be discharged home (38.0% vs 84.4%, P = .000). Conclusions Knowledge of predictors for CS‐PRF may help identify patients who are at risk for this complication and who may benefit from preventive measures to promote early extubation and to avert reintubation.