Predictors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Grafting: Development a Risk Scoring System.

INTRODUCTION: To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study. METHODS: In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS. RESULTS: The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS. CONCLUSION: The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources.

Predictors of length of stay in intensive care unit after coronary artery bypass grafting: development a risk scoring system

Abstract Introduction: To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study. Methods: In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS. Results: The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS. Conclusion: The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources.

Endotracheal Tube Duration in Elderly Patients after the Coronary Artery Bypass Grafting Surgery.

BACKGROUND: In elderly patients, the management of the endotracheal tube after coronary artery bypass graft (CABG) can be challenging because they often have complex comorbidities. This study was done to determine endotracheal tube duration in elderly patients after CABG. MATERIALS AND METHODS: This retrospective study was conducted on 397 patients aged over 65 years under mechanical ventilation after CABG. Patients in two groups of endotracheal tube duration of less than 8 h and more than 8 h were compared. Medical records were used for data gathering. Descriptive statistics, Mann-Whitney U, Kruskal-Wallis test, and logistic regression model were used for data analysis. RESULTS: Endotracheal tube duration was 9.9± 5.89 h in elderly patients. According to the results of the Mann-Whitney U test, there was a significant difference between the two groups in terms of the history of smoking (p = 0.023), history of diabetes (p= 0.062), left ventricular ejection fraction (p= 0.028), and type of operation in terms of emergency and non-emergency (p= 0.069). The logistic regression model showed predictive variables of the endotracheal tube duration after CABG in elderly patients over 65 years, including the history of smoking (1.179- 4.543, CI: 95%, ß=0.839, and, p=0.015), history of myocardial infarction (0.188- 1.019, CI: 95%, p= 0.055, ß= -0.827), and the left ventricular ejection fraction less than 50% (0.202-0752, CI: 95%, p= 0.005, ß= -0.943). CONCLUSION: Considering the predictive factors, the duration of the postoperative endotracheal tube can play an important role in the careful care of elderly patients after CABG.