A Clinical Risk Scoring Tool to Predict Readmission After Cardiac Surgery: An Ontario Administrative and Clinical

Derrick Y Tam1, Jiming Fang2, Andrew Tran3

  • 1Division of Cardiac Surgery, Schulich Heart Centre, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Insights

Reducing readmissions after cardiac surgery is crucial. A new risk score identifies patients needing closer monitoring, with factors like prolonged hospital stay and valve surgery increasing risk.

Area of Science:

  • Cardiovascular Surgery
  • Health Services Research
  • Predictive Analytics

Background:

  • Reducing hospital readmissions post-cardiac surgery is a key quality improvement goal.
  • Existing risk models often focus narrowly on coronary artery bypass grafting (CABG) surgery.
  • A comprehensive risk assessment tool for diverse cardiac surgical procedures is needed.

Purpose of the Study:

  • To develop and validate a predictive risk score for 30-day readmission after various cardiac surgeries.
  • To identify significant risk factors associated with readmission in a large patient cohort.
  • To create a clinical tool for stratifying patient risk and guiding post-discharge care.

Main Methods:

  • Retrospective analysis of adult patients undergoing isolated CABG, valve surgery, or combined procedures (2008-2016) in Ontario.
  • Utilized linked administrative health databases to identify risk factors for 30-day readmission.
  • Developed a clinical risk score using Cox proportional hazards regression and validated its predictive performance.

Main Results:

  • The study included 63,336 patients, with an overall 30-day readmission rate of 11.5%.
  • Key predictors of readmission included prolonged length of stay, isolated valve surgery, in-hospital sepsis, and acute myocardial infarction.
  • A 22-variable risk score was derived, categorizing patients into five risk quintiles (c-statistic = 0.63).

Conclusions:

  • Readmission following cardiac surgery is a common occurrence.
  • The developed risk score demonstrates moderate predictability in a contemporary patient population.
  • This tool can aid in identifying high-risk patients for targeted interventions to reduce readmissions.
Abstract

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