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Use of a multistate model in survival predictions in cardiology studies

Natalia Montoya1,2, Alicia Quirós2, José M de la Torre-Hernández1

  • 1Servicio de Cardiología, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, España Servicio de Cardiología Hospital Universitario Marqués de Valdecilla Instituto de Investigación Sanitaria Valdecilla (IDIVAL) Santander España.

REC, Interventional Cardiology
|May 26, 2025
PubMed

Insights

Multistate models enhance survival analysis in cardiology by predicting disease progression. These models offer detailed insights into patient outcomes, improving prognostic accuracy for antithrombotic therapies.

Area of Science:

  • Cardiovascular Medicine
  • Biostatistics
  • Medical Informatics

Background:

  • Multistate models are valuable for survival analyses.
  • Disease progression modeling is crucial in interventional cardiology.

Purpose of the Study:

  • To model disease progression in interventional cardiology using a multistate model.
  • To assess the efficacy and prognosis of antithrombotic therapies in elderly patients with atrial fibrillation.

Main Methods:

  • Fitted a multistate model to the PACO-PCI database (1057 patients).
  • Defined 4 states: treatment, myocardial infarction/revascularization, bleeding, and death.
  • Compared with multivariate Cox models.

Main Results:

  • Identified common survival factors: PreciseDAPT, HAS-BLED, anemia, diabetes, chronic kidney disease, vessels treated, and left ventricular function.
  • Multistate models revealed specific transition influences (e.g., hemorrhage impact on myocardial infarction/revascularization).
  • Multistate models provide transition-specific predictor insights, unlike Cox models.

Conclusions:

  • Multistate models offer advantages in survival analysis.
  • These models enable individualized patient predictions based on clinical characteristics and disease progression.
Abstract

Keywords:
Interventional cardiologyMultistate modelsSurvival analyses

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