PREOPERATIVE PREDICTION OF POSTOPERATIVE RESPIRATORY OUTCOME - CORONARY-ARTERY BYPASS-GRAFTING

Citation
Sd. Spivack et al., PREOPERATIVE PREDICTION OF POSTOPERATIVE RESPIRATORY OUTCOME - CORONARY-ARTERY BYPASS-GRAFTING, Chest, 109(5), 1996, pp. 1222-1230
Citations number
24
Categorie Soggetti
Respiratory System
Journal title
ChestACNP
ISSN journal
00123692
Volume
109
Issue
5
Year of publication
1996
Pages
1222 - 1230
Database
ISI
SICI code
0012-3692(1996)109:5<1222:PPOPRO>2.0.ZU;2-6
Abstract
Objective: The hypothesis that traditionally defined preoperative risk factors predict prolonged mechanical ventilation after coronary arter y bypass graft surgery (CABG) was tested in our cohort. The predictive power of these factors was quantified, and specific patient subsets d estined for prolonged mechanical ventilation after CABG surgery were d efined. Design: Five hundred thirteen consecutive patients undergoing CABG were prospectively evaluated. Preoperative pulmonary evaluation i ncluded clinical historic data, standard spirometry, and arterial bloo d gas. Preoperative cardiac parameters included clinical parameters an d left ventricular function assessment. Nonthoracic organ (renal, endo crine, pancreas, liver) function was assessed. Setting: University-bas ed, tertiary referral center. Interventions: None (observational only) . Outcomes measured: Duration of mechanical ventilation, duration of s urgical ICU stay, and mortality. Results: Multivariate regression anal yses revealed that for the patient undergoing routine elective surgery and the patient undergoing urgent surgery, prolonged mechanical venti lation and death were rare events (8.3% and 2.0%, respectively). The c ombination of reduced left ventricular ejection fraction and the prese nce of selected preexisting comorbid conditions (clinical congestive h eart failure, angina, current smoking, diabetes) served as modest risk factors for prolonged mechanical ventilation; their absence strongly predicted an uncomplicated postoperative respiratory course. No pulmon ary diagnosis, mechanical lung function, or blood gas parameter substa ntially contributed to predicting adverse outcome. Classification and regression tree subgroup analysis refined specific factors important i n specific subgroups. Conclusion: With the exception of left ventricul ar ejection fraction, no preoperative factors emerge as good predictor s across all subgroups. This series suggests that pulmonary diagnosis, lung mechanics, and blood gas parameters do not offer the clinician g lobal rules in predicting postoperative respiratory outcome, nor shoul d they be used as exclusion criteria for CABG surgery.