1220 patient records from a retrospective study using private health insurance data in Brazil. The dataset includes demographics, clinical history, medication, and anticoagulation control metrics for patients with non-valvular atrial fibrillation treated with warfarin between May 2014 and April 2016. It was authored by Pedro Gabriel Melo de Barros e Silva from Hospital Samaritano de São Paulo.
Use Cases
- Predict risk of major bleeds based on anticoagulation control metrics like Time in Therapeutic Range (TTR)
- Analyze associations between demographic or clinical history features and anticoagulation quality
- Model healthcare costs per patient based on anticoagulation control status
- Evaluate the effectiveness of warfarin therapy management in a private healthcare setting
Strengths
- 1220 patient records with a median follow-up of 1.5 years
- Includes specific anticoagulation metrics like mean INR (2.60 ± 0.88) and median TTR (58%)
- Contains calculated outcomes like major bleed rates (1.6% vs 5.3%) and direct medical costs (R$25,352 PMPY)
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Data may reflect geographic and temporal bias inherent to a single private health insurance dataset in Brazil
Provenance
- Source
- Hospital Samaritano de São Paulo
- Collection Method
- Retrospective study using a private health insurance dataset
- Time Range
- May 2014 to April 2016
- Geography
- Brazil