Publications by authors named "Walberto Buelvas"
Background: ML predictive models have shown their capability to improve risk prediction and assist medical decision-making, nevertheless, there is a lack of accuracy systems to early identify future rapid CKD progressors in Colombia and even in South America.
Objective: The purpose of this study was to develop a series of interpretable machine learning models that predict GFR at 6-months, 9-months, and 12-months.
Study Design And Setting: Over 29,000 CKD patients stage 1 to 3b (estimated GFR, <60 mL/min/1.
Article Synopsis
- Frailty is a syndrome in older adults linked to negative health outcomes, and this study focused on identifying its factors among older people in Colombia with chronic diseases.
- Conducted with 230 participants aged 60 and above, the research utilized Fried's phenotype criteria to assess frailty and disability levels, finding that 27.4% were frail and 58.7% were prefrail.
- Key findings reveal that being female, older than 75, having low education and socioeconomic status, dependency on daily activities, and cognitive issues significantly increase the risk of frailty in these individuals.