Project Details
Description
Introduction: Acute heart failure is a frequent cause of hospitalization with high in-hospital mortality. In Colombia, there are no local tools available for predicting mortality in the context of acute heart failure.
Objective: To develop a prediction model for in-hospital mortality in patients with acute heart failure admitted to Hospital Universitario Mayor Méderi.
Methods: Observational, descriptive study of a retrospective cohort aimed at developing a prediction model for in-hospital mortality. The model’s operational characteristics, diagnostic accuracy, area under the discrimination curve, and calibration will be described. Internal validation will be performed using resampling techniques.
Expected Results: It is expected to develop a prediction tool with a discrimination capacity of at least 70%, with adequate calibration and internal validation.
Objective: To develop a prediction model for in-hospital mortality in patients with acute heart failure admitted to Hospital Universitario Mayor Méderi.
Methods: Observational, descriptive study of a retrospective cohort aimed at developing a prediction model for in-hospital mortality. The model’s operational characteristics, diagnostic accuracy, area under the discrimination curve, and calibration will be described. Internal validation will be performed using resampling techniques.
Expected Results: It is expected to develop a prediction tool with a discrimination capacity of at least 70%, with adequate calibration and internal validation.
Keywords
Heart failure, Acute heart failure, Mortality, Predictive models, Machine learning
Commitments / Obligations
The goal is to develop a predictive tool with a discrimination rate of at least 70%, properly calibrated and internally validated, to aid decision-making in this context
| Status | Active |
|---|---|
| Effective start/end date | 4/1/26 → 3/31/27 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being
Main Funding Source
- Installed Capacity (Academic Unit)
Location
- Bogotá D.C.
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