Use of postoperative information to predict mortality rates for patients who have long stays in the intensive care unit after coronary artery bypass grafting

摘要: OBJECTIVE: To derive and evaluate prediction models for patients who had undergone coronary artery bypass grafting (CABG) a difficult postoperative course. DESIGN: Observational. SETTING: Midwestern hospital specializing in high-risk CABG procedures. PATIENTS: One hundred eighty-three stayed at least 10 consecutive days the intensive care unit after procedure. OUTCOME MEASURE: Death within 60 of surgery. INTERVENTION: None. RESULTS: The final logistic regression included following findings: pulmonary capillary wedge pressure, cardiac index, heart rate, urine output, positive end-expiratory blood urea nitrogen levels, arterial pressure carbon dioxide. model was able to stratify into four risk groups with observed 60-day mortality rates 0.0% (n = 107), 21% 39), 55% 20), 88% 17). Preoperative patient information not associated prognosis these patients. CONCLUSIONS: findings suggest that is specific have based on may provide useful prognostic are having course.