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: |
Clinical Kidney Journal; Apr2024, Vol. 17 Issue 4, p1-9, 9p |
| مصطلحات موضوعية: |
CHRONIC kidney failure, CLINICAL trials, RECEIVER operating characteristic curves, KIDNEY failure, DISEASE progression |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Clinical Kidney Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder