ArticleBrazilian journal of cardiovascular surgery2021
Predictors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Grafting: Development a Risk Scoring System.
Article in Brazilian journal of cardiovascular surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 19 citations in OpenAlex.
- Development and external validation of an interpretable machine learning model for predicting prolonged postoperative ICU length of stay in coronary artery bypass grafting patients using MIMIC-IV 3.1 and eICU-CRD 2.0.BMC medical informatics and decision making · 2026Article
- Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review.Health science reports · 2026Article
- Vibroacoustic lung therapy and early postoperative oxygenation after cardiac surgery: a multicentre prospective study.Frontiers in medicine · 2026Article
- Impact of an early, graduated mobilization program on recovery and postoperative outcomes after cardiac revascularization with extracorporeal circulation.Frontiers in cardiovascular medicine · 2026Article
- Development and validation of a nomogram-based model for predicting postoperative pulmonary complications after coronary artery bypass grafting with cardiopulmonary bypass.Indian journal of thoracic and cardiovascular surgery · 2025Article
- Effects of Early Mobilization on Hemodynamics and Pain after Coronary Artery Bypass Graft Surgery: A Randomized Controlled Trial.Journal of caring sciences · 2025Article
- Predicting Extended Intensive Care Unit Stay Following Coronary Artery Bypass Grafting and Its Impact on Hospitalization and Mortality.Journal of clinical medicine research · 2025Article
- Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods.Archives of academic emergency medicine · 2025Article
- Functional capacity in smoking patients after coronary artery bypass grafting surgery: a quasi-experimental study.Journal of medicine and life · 2023Article
- Factors Affecting the Length of Stay in the Intensive Care Unit among Adults in Saudi Arabia: A Cross-Sectional Study.Journal of clinical medicine · 2023Article
- Length of Hospital Stay and Its Related Factors in Iran: A Systematic Review and Meta-Analysis.Iranian journal of public health · 2023Review
- New-Onset Post-Operative Atrial Fibrillation in Patients Undergoing Coronary Artery Bypass Grafting Surgery - A Retrospective Case-Control Study.Brazilian journal of cardiovascular surgery · 2023Article
- The Effect of Listening to Holy Quran Recital on Pain and Length of Stay Post-CABG: A Randomized Control Trial.Critical care research and practice · 2023Article
- Scoring Systems Estimating Length of Stay in Intensive Care Unit Before Coronary Artery Bypass Grafting.Brazilian journal of cardiovascular surgery · 2022Article
- Preoperative physical performance predicts pulmonary complications after coronary artery bypass grafting: a prospective study.Scientific reports · 2022Article
- Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning.Frontiers in cardiovascular medicine · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo 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.
methodsIn 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.
resultsThe 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.
conclusionThe 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.
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