AI Article Synopsis

  • The study aimed to identify perioperative factors linked to prolonged mechanical ventilation (PMV) in patients undergoing elective primary coronary bypass surgery.
  • PMV was found in 215 out of 10,977 patients (1.96%), with key predictors including higher NYHA class, renal dialysis, older age, reduced lung function, and a high body mass index.
  • The research concluded that PMV negatively affects early and mid-term survival, but modeling risks for PMV remains challenging, even in lower-risk patient groups.

Article Abstract

OBJECTIVES Despite the seriousness of prolonged mechanical ventilation (PMV) as a postoperative complication, previously proposed risk prediction models were met with limited success. The purpose of this study was to identify perioperative variables associated with PMV in elective primary coronary bypass surgery. PMV was defined as the need for intubation and mechanical ventilation for >72 h, after completion of the operation. METHODS Between April 1997 and September 2010, 10 ,977 consecutive patients were retrospectively reviewed. A series of two multivariate logistic regression analyses were carried out to identify preoperative predictors of prolonged ventilation and the impact of operative variables. RESULTS PMV occurred in 215 (1.96%) patients; 119 (55.3%) of these underwent tracheostomy. At multivariate analysis, predictors included NYHA higher than class II (odds ratio [OR], 1.77; 95% confidence intervals [CI], 1.34-2.34), renal dialysis (OR, 5.5; 95% CI, 2.08-14.65), age at operation (OR, 1.04; 95% CI, 1.02-1.06), reduced FEV(1) (OR, 0.99; 95% CI, 0.98-0.99), body mass index >35 kg/m(2) (OR, 1.73; 95% CI, 1.14-2.63). On serial logistic regression analyses, operative variables added little to the discriminatory power of the model. Kaplan-Meier survival curves showed reduced survival among PMV patients (P < 0.001) with an improved survival in the tracheostomy subgroup. CONCLUSIONS PMV after coronary bypass is associated with a reduction in early and mid-term survival. Risk modelling for PMV remains problematic even when examining a more homogenous lower risk group.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380973PMC
http://dx.doi.org/10.1093/icvts/ivs076DOI Listing

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