دورية أكاديمية

Validation of the Klinrisk chronic kidney disease progression model in the FIDELITY population

التفاصيل البيبلوغرافية
العنوان: Validation of the Klinrisk chronic kidney disease progression model in the FIDELITY population
المؤلفون: Tangri, Navdeep, Ferguson, Thomas, Leon, Silvia J., Anker, Stefan D., Filippatos, Gerasimos, Pitt, Bertram, Rossing, Peter, Ruilope, Luis M., Farjat, Alfredo E., Farag, Youssef M. K., Schloemer, Patrick, Lawatscheck, Robert, Rohwedder, Katja, Bakris, George L.
المصدر: Tangri , N , Ferguson , T , Leon , S J , Anker , S D , Filippatos , G , Pitt , B , Rossing , P , Ruilope , L M , Farjat , A E , Farag , Y M K , Schloemer , P , Lawatscheck , R , Rohwedder , K & Bakris , G L 2024 , ' Validation of the Klinrisk chronic kidney disease progression model in the FIDELITY population ' , Clinical Kidney Journal , vol. 17 , no. 4 , sfae052 . https://doi.org/10.1093/ckj/sfae052Test
سنة النشر: 2024
المجموعة: University of Copenhagen: Research / Forskning ved Københavns Universitet
الوصف: BACKGROUND: Chronic kidney disease (CKD) affects >800 million individuals worldwide and is often underrecognized. Early detection, identification and treatment can delay disease progression. Klinrisk is a proprietary CKD progression risk prediction model based on common laboratory data to predict CKD progression. We aimed to externally validate the Klinrisk model for prediction of CKD progression in FIDELITY (a prespecified pooled analysis of two finerenone phase III trials in patients with CKD and type 2 diabetes). In addition, we sought to identify evidence of an interaction between treatment and risk. METHODS: The validation cohort included all participants in FIDELITY up to 4 years. The primary and secondary composite outcomes included a ≥40% decrease in estimated glomerular filtration rate (eGFR) or kidney failure, and a ≥57% decrease in eGFR or kidney failure. Prediction discrimination was calculated using area under the receiver operating characteristic curve (AUC). Calibration plots were calculated by decile comparing observed with predicted risk. RESULTS: At time horizons of 2 and 4 years, 993 and 1795 patients experienced a primary outcome event, respectively. The model predicted the primary outcome accurately with an AUC of 0.81 for 2 years and 0.86 for 4 years. Calibration was appropriate at both 2 and 4 years, with Brier scores of 0.067 and 0.115, respectively. No evidence of interaction between treatment and risk was identified for the primary composite outcome (P = .31). CONCLUSIONS: Our findings demonstrate the accuracy and utility of a laboratory-based prediction model for early identification of patients at the highest risk of CKD progression.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
DOI: 10.1093/ckj/sfae052
الإتاحة: https://doi.org/10.1093/ckj/sfae052Test
https://curis.ku.dk/portal/da/publications/validation-of-the-klinrisk-chronic-kidney-disease-progression-model-in-the-fidelity-populationTest(4417948b-b970-4e17-b5cf-a99d417dadb2).html
https://curis.ku.dk/ws/files/390179058/sfae052.pdfTest
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.80664F25
قاعدة البيانات: BASE