Impact of diabetes on long-term all-cause re-hospitalization after revascularization with percutaneous coronary

Kirstine N Hansen1, Manijeh Noori1, Evald H Christiansen2

  • 1Department of Cardiology, 11286Odense University Hospital, Odense, Denmark.

Insights

Over half of diabetes patients undergoing percutaneous coronary intervention (PCI) face readmission within a year. Comorbidities strongly predict non-ischemic heart disease readmissions, but not IHD-related ones.

Area of Science:

  • Cardiology
  • Diabetology
  • Public Health

Background:

  • Diabetes mellitus is a significant risk factor for cardiovascular diseases.
  • Percutaneous coronary intervention (PCI) is a common revascularization procedure for coronary artery disease.

Purpose of the Study:

  • To investigate the incidence, causes, and probability of re-hospitalization within 30 and 365 days after PCI in patients with diabetes.
  • To identify predictors of readmission in this patient population.

Main Methods:

  • A retrospective study of 2763 patients with diabetes treated with PCI between January 2010 and September 2014.
  • Analysis of reasons for readmission within 30 and 365 days, including ischemic heart disease (IHD) and non-IHD causes.
  • Statistical analysis to identify predictors of readmission, including gender, type of myocardial infarction, age, and Charlson Comorbidity Index (CCI).

Main Results:

  • Readmission rates were 18% within 30 days and 58% within 365 days.
  • Ischemic heart disease (IHD) was the reason for readmission in 27% of cases, while non-IHD reasons accounted for 31%.
  • Female gender and non-ST-segment elevation myocardial infarction were associated with IHD-related readmissions. Age and higher CCI scores (≥3) predicted non-IHD-related readmissions.

Conclusions:

  • More than half of patients with diabetes undergoing PCI are readmitted within one year.
  • Comorbidities are a strong predictor for non-IHD-related readmissions but do not increase the risk for IHD-related readmissions.
  • Understanding these predictors can inform strategies to reduce readmission rates in diabetic patients post-PCI.
Abstract

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