Multivariable analysis of factors associated with hospital readmission after intestinal surgery

Am J Surg. 2006 Mar;191(3):364-71. doi: 10.1016/j.amjsurg.2005.10.038.

Abstract

Background: Readmission rates after major abdominal surgery have a significant impact on hospital costs and quality of care. Identification of risk factors for readmission may improve postoperative care and discharge plans.

Methods: One hundred fifty consecutive patients readmitted within 30 days of discharge after intestinal surgery (RD) were compared with matched nonreadmitted patients. Patient-related (demographic, comorbidity, medications), disease-related (diagnosis, type of surgery), and perioperative course variables were collected for logistic regression analysis.

Results: RD was associated with chronic obstructive pulmonary disease (odds ratio [OR] 7.12 and 95% confidence interval [CI] 1.4-37.6), worse functional capacity class (OR 2.02 and CI 1.15-3.56), previous anticoagulant therapy (OR 4.85 and CI 1.2-19.7), steroid treatment, and discharge to a facility other than home (OR 4.35 and CI 0.97-20.0, P = .055). In patients with intestinal perforation, RD rate was decreased (OR 0.3 and CI 0.1-0.9), but this was associated with a longer primary hospital stay (median 8 vs. 6 days, P = .12). RD causes included surgical site septic complications (33%), ileus and/or small-bowel obstruction (23%), medical complications (24%), and others (20%).

Conclusions: Functional capacity, chronic obstructive pulmonary disease, previous anticoagulant therapy, perioperative steroids, and discharge destination are independent predictors of RD. Disease-related factors have minor impact on RD rates. Improving functional status before surgery, decreasing the adverse impact of steroids, and/or stratifying perioperative anticoagulant use may decrease unexpected readmissions in this patient population.

MeSH terms

  • Case-Control Studies
  • Female
  • Humans
  • Intestines / surgery*
  • Male
  • Matched-Pair Analysis
  • Middle Aged
  • Multivariate Analysis
  • Ohio / epidemiology
  • Patient Readmission / statistics & numerical data*
  • Postoperative Care
  • Postoperative Complications / epidemiology*
  • Postoperative Complications / prevention & control
  • Risk Factors