Predictors of readmission after inpatient plastic surgery

Umang Jain, Christopher Salgado, Lauren Mioton, Aksharananda Rambachan, John Y.S. Kim

Research output: Contribution to journalArticle

16 Scopus citations

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 for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was 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.

Original languageEnglish (US)
Pages (from-to)116-121
Number of pages6
JournalArchives of Plastic Surgery
Volume41
Issue number2
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Inpatients
  • Patient readmission
  • Surgery, plastic

ASJC Scopus subject areas

  • Surgery

Fingerprint Dive into the research topics of 'Predictors of readmission after inpatient plastic surgery'. Together they form a unique fingerprint.

  • Cite this

    Jain, U., Salgado, C., Mioton, L., Rambachan, A., & Kim, J. Y. S. (2014). Predictors of readmission after inpatient plastic surgery. Archives of Plastic Surgery, 41(2), 116-121. https://doi.org/10.5999/aps.2014.41.2.116