Prediction Model for Estimated Glomerular Filtration Rate

Can routinely available data from primary care visits be used to develop and externally validate a prediction model that reliably predicts estimated glomerular filtration rate for upcoming follow-up visits?In this prognostic study involving 4637 adults with type 2 diabetes and chronic kidney disease, a prediction model including 13 routinely collected baseline variables based on data from 3 prospective multinational cohort studies was developed and externally validated.

Data were analyzed between June 30, 2021, and January 31, 2023.Thirteen variables readily available from routine clinical care visits were selected as predictors. Repeated eGFR measurements at baseline and follow-up visits were used as the outcome. A linear mixed-effects model for repeated eGFR measurements at study entry up to the last recorded follow-up visit was fit and externally validated.

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