Frailty and Post-Discharge Healthcare Use in 130 Cardiovascular Patients

Noel Rivas-González's dataset contains a prospective cohort of 130 patients aged 60+ hospitalized with cardiovascular disease between March 2022 and April 2024. It includes frailty assessments via the FRAIL scale, functional status (Barthel Index), biochemical markers, and time-to-event outcomes for healthcare utilization over 365 days. The data was last updated on 2026-05-29.

Use Cases

• Predicting time to first non-cardiac consultation based on frailty status and LDL cholesterol levels.
• Modeling risk of unplanned readmission using frailty scores and hospital length of stay.
• Analyzing associations between functional status (Barthel Index) and post-discharge healthcare events.
• Conducting survival analysis for time to cardiology visits using Cox regression models.

Strengths

• Includes 130 patient records with detailed demographic breakdown (68.46% male, mean age 72.98 years).
• Contains multiple clinical variables: frailty (FRAIL scale), functional status (Barthel Index), and biochemical markers.
• Tracks time-to-event outcomes over a defined 365-day follow-up period for five distinct healthcare events.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale (671.2 KB), representing a single cohort study.

Provenance

Source

Noel Rivas-González via figshare.

Collection Method

Prospective cohort study of patients hospitalized with cardiovascular disease.

Time Range

Patient enrollment from March 2022 to April 2024, with 365-day follow-up.

Freshness

Last updated 2026-05-29 04:49:01; freshness should be verified.