Longitudinal Frailty Phenotyping Data with Biomarkers

A prospective population-based cohort study (CohorFES) collects demographic, clinical history, anthropometric measurements, and blood biochemical variables to identify frailty progression clusters. The project, led by Natàlia Garcia-Giralt, aims to validate the Frailty Trait Scale 5 (FTS5) and establish a biobank for future research. Data collection occurs at baseline and annually until participants develop frailty, with protocol registration NCT06965972.

Use Cases

• Cluster individuals into frailty phenotypes using k-means on demographic, anthropometric, and biochemical variables.
• Model longitudinal progression to frailty using annual PREDIMED questionnaire scores and biochemical variable measurements.
• Correlate identified patient clusters with health outcomes like hospital admissions and mortality rates.
• Validate the Frailty Trait Scale 5 (FTS5) score against collected clinical history and biomarker data.

Strengths

• Prospective longitudinal design with annual follow-up until frailty onset.
• Multimodal data collection includes clinical history, anthropometrics, biochemistry, and metabolomics.
• Protocol is formally registered (NCT06965972).

Limitations

• Dataset scale is tiny (5.5 KB), indicating summary or metadata, not raw patient records.
• Specific row count and column details are unknown.
• Geographic origin of the population-based cohort is unspecified.

Provenance

Source

Natàlia Garcia-Giralt via figshare.

Collection Method

Prospective cohort study with annual clinical and biomarker data collection.

Time Range

Longitudinal, from baseline through annual follow-ups.

Freshness

Last updated March 2026, indicating planned future data.