Predictors of Readmission after Inpatient Plastic Surgery

다국어 초록 (Multilingual Abstract)

Background: Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery.
Methods: The 2011 National Surgical Quality Improvement Program dataset was reviewed forpatients with both “Plastics” as their recorded surgical specialty and inpatient status. Readmissionwas tracked through the “Unplanned Readmission” variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student’s t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission.
Results: A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12–3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21–5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22–2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01–2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15–2.15; P=0.004), and obesity (body mass index ≥30) (OR, 1.43; CI, 1.09–1.88, P=0.011) to be significant predictors of readmission.
Conclusions: Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.

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