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A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests
- 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.
- Subjects :
- German Chronic Kidney Disease Study
Chronic Kidney Disease
Kidney Failure Requiring Kidney Replacement Therapy
Machine Learning
Risk Equation
medicine.medical_specialty
[SDV.BIO]Life Sciences [q-bio]/Biotechnology
end-stage kidney disease (ESKD)
kidney failure risk equation
CKD progression
Concordance
030232 urology & nephrology
Chronic kidney disease (CKD)
kidney disease trajectory
kidney failure requiring kidney replacement therapy (KFRT)
German Chronic Kidney Disease study
risk equation
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Internal medicine
medicine
Humans
Renal Insufficiency
030212 general & internal medicine
Renal Insufficiency, Chronic
Creatinine
Framingham Risk Score
Proportional hazards model
business.industry
medicine.disease
machine learning
chemistry
Nephrology
Cohort
Disease Progression
Kidney Failure, Chronic
Observational study
business
Glomerular Filtration Rate
Cohort study
Kidney disease
Subjects
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