Soliman, M., Mohamed, M., Mostafa, M., Almasry, M. (2024). Predictors of Postoperative 30 Days Unplanned Readmission among Patients Undergoing Cardiac surgeries. Assiut Scientific Nursing Journal, 12(46), 33-42. doi: 10.21608/asnj.2024.306452.1864
Mahmoud Fathi Soliman; Magda Ahmed Mohamed; Mohammed Mahmoud Mostafa; Marwa Ali Almasry. "Predictors of Postoperative 30 Days Unplanned Readmission among Patients Undergoing Cardiac surgeries". Assiut Scientific Nursing Journal, 12, 46, 2024, 33-42. doi: 10.21608/asnj.2024.306452.1864
Soliman, M., Mohamed, M., Mostafa, M., Almasry, M. (2024). 'Predictors of Postoperative 30 Days Unplanned Readmission among Patients Undergoing Cardiac surgeries', Assiut Scientific Nursing Journal, 12(46), pp. 33-42. doi: 10.21608/asnj.2024.306452.1864
Soliman, M., Mohamed, M., Mostafa, M., Almasry, M. Predictors of Postoperative 30 Days Unplanned Readmission among Patients Undergoing Cardiac surgeries. Assiut Scientific Nursing Journal, 2024; 12(46): 33-42. doi: 10.21608/asnj.2024.306452.1864
Predictors of Postoperative 30 Days Unplanned Readmission among Patients Undergoing Cardiac surgeries
1Clinical demonstrator of Medical-Surgical Nursing, Faculty of Nursing, Assiut University, Egypt.
2Professor of Medical-Surgical Nursing, Faculty of Nursing, Assiut University, Egypt.
3Associated Professor of Cardiothoracic surgery, Faculty of Medicine, Assiut University, Egypt.
4Assistant Professor of Medical-Surgical Nursing, Faculty of Nursing, Assiut University, Egypt
Abstract
Background: Unplanned 30-day readmissions following cardiac surgery have been associated with increased healthcare costs and adverse events for both patients and care providers. Aim: To identify perioperative predictors of hospital readmission after cardiac surgeries. Research design: A prospective (cohort) research design. Setting: Cardiothoracic surgery department at Assiut university heart hospital. Sample: A convenience sample of 121 adult patients who had undergone coronary artery bypass graft (CABG) or valves surgeries. Tools: Tool I: Patient assessment sheet, tool II: A clinical risk scoring tool to predict readmission after cardiac surgery. Results: Out of 121 patients, 28 patients (23.1%) were readmitted to hospital classified according to procedure into: single valve 35.7%, Isolated CABG 35.7%, multiple valves 17.9%, and combined (valves and CABG) 10.7%. Univariate and multivariate regression demonstrated that history of congestive heart failure(CHF), previous percutaneous coronary intervention(PCI), haematocrit level (< 34%), abnormal ejection fraction (<50%), cardiopulmonary bypass machine time (>120min), postoperative myocardial infarction(MI), cardiac arrhythmia, acute kidney injury(AKI), bleeding, major blood transfusion, surgical site infection(SSI), and length of hospital stay (LOS) (> 9 days) were identified as significant independent perioperative readmission predictors for cardiac surgeries Conclusion: The study highlights the ongoing challenge of hospital readmissions after cardiac surgery. Pre-operative risk factors, intraoperative data, and post-operative complications are key predictors. Implementing strategies to manage these factors can reduce readmissions. Recommendation: Perioperative predictors must be identified and controlled as early as possible to reduce readmission rate.
View on SCiNiTO
Top