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A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests

Authors :
Philip A. Kalra
Peter J. Oefner
Anna Köttgen
Sahar Ghasemi
Peggy Sekula
Helena U. Zacharias
Ulla T. Schultheiss
Ibrahim Ali
Bénédicte Stengel
Kai-Uwe Eckardt
Johannes Raffler
Michael Altenbuchinger
Marie Metzger
Wolfram Gronwald
Florian Kronenberg
Matthias Schmid
Ziad A. Massy
Christian Combe
Fruzsina Kotsis
Inga Steinbrenner
Barbara Kollerits
Bioingénierie tissulaire (BIOTIS)
Université de Bordeaux (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Source :
American Journal of Kidney Diseases, American Journal of Kidney Diseases, Elsevier, 2021, ⟨10.1053/j.ajkd.2021.05.018⟩, Am. J. Kidney Dis. 79, 217-230.e1 (2022)
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

RATIONALE & OBJECTIVE: Stratification of chronic kidney disease (CKD) patients at risk for progressing to end-stage kidney disease (ESKD) requiring kidney replacement therapy (KRT) is important for clinical decision-making and trial enrollment. STUDY DESIGN: Four independent prospective observational cohort studies. SETTING & PARTICIPANTS: The development cohort was comprised of 4,915 CKD patients and three independent validation cohorts were comprised of a total of 3,063. Patients were followed-up for approximately five years. NEW PREDICTORS & ESTABLISHED PREDICTORS: 22 demographic, anthropometric and laboratory variables commonly assessed in CKD patients. OUTCOMES: Progression to ESKD requiring KRT. ANALYTICAL APPROACH: A Least Absolute Shrinkage and Selection Operator (LASSO) Cox proportional hazards model was fit to select laboratory variables that best identified patients at high risk for ESKD. Model discrimination and calibration were assessed and compared against the 4-variable Tangri (T4) risk equation. Both used a resampling approach within the development cohort and in the validation cohorts using cause-specific concordance (C) statistics, net reclassification improvement, and calibration graphs. RESULTS: The newly derived 6-variable (Z6) risk score included serum creatinine, albumin, cystatin C and urea, as well as hemoglobin and the urine albumin-to-creatinine ratio. Based on the resampling approach, Z6 achieved a median C value of 0.909 (95% CI, 0.868-0.937) at two years after the baseline visit, whereas the T4 achieved a median C value of 0.855 (95% CI, 0.799-0.915). In the three independent validation cohorts, Z6 C values were 0.894, 0.921, and 0.891, whereas the T4 C values were 0.882, 0.913, and 0.862. LIMITATIONS: The Z6 was both derived and tested only in White European cohorts. CONCLUSIONS: A new risk equation, based on six routinely available laboratory tests facilitates identification of patients with CKD who are at high risk of progressing to ESKD.

Details

ISSN :
02726386 and 15236838
Volume :
79
Database :
OpenAIRE
Journal :
American Journal of Kidney Diseases
Accession number :
edsair.doi.dedup.....e33ec05f94deeca364a5a7f4c6e43f70
Full Text :
https://doi.org/10.1053/j.ajkd.2021.05.018