Accounting for the competing risk of death to predict kidney failure in adults with stage 4 chronic kidney disease
| Autor: | Ngan N. Lam, Huda Al-Wahsh, Marta Fiocco, Rob R. Quinn, Thomas Ferguson Ms, Marcello Tonelli, Navdeep Tangri, Pietro Ravani, Ping Liu |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
medicine.medical_specialty Population Renal function macromolecular substances Kaplan-Meier Estimate Lower risk Sex Factors Risk Factors Internal medicine medicine Albuminuria Humans Renal Insufficiency Renal Insufficiency Chronic education Original Investigation Aged Proportional Hazards Models education.field_of_study urogenital system Proportional hazards model business.industry Research Age Factors General Medicine Middle Aged medicine.disease Online Only Nephrology Cardiovascular Diseases Cohort Female medicine.symptom Stage 4 chronic kidney disease business Glomerular Filtration Rate Kidney disease |
| Zdroj: | Jama Network Open, 4(5). AMER MEDICAL ASSOC JAMA Network Open |
| Popis: | This population-based validation study compares the prediction of kidney failure from models that do and do not account for the competing risk of death in adults with severe chronic kidney disease. Key Points Question Does accounting for the competing risk of death make a difference when predicting kidney failure in adults with stage 4 chronic kidney disease? Findings In this external prognostic study with 14 619 people in the development cohort and 2295 in the validation cohort, models that did and did not account for the competing risk of death provided comparable 2-year predictions of kidney failure. Differences in model predictions emerged after 2 years and increased with longer prediction times, especially among participants aged 65 years or older and those with more comorbidity. Meaning These findings suggest that accounting for the competing risk of death when making predictions about kidney failure becomes increasingly important with longer follow-up time, older age, and the presence of more comorbidities. Importance Kidney failure risk prediction has implications for disease management, including advance care planning in adults with severe (ie, estimated glomerular filtration rate [eGFR] category 4, [G4]) chronic kidney disease (G4-CKD). Existing prediction tools do not account for the competing risk of death. Objective To compare predictions of kidney failure (defined as estimated glomerular filtration rate [eGFR] |
| Databáze: | OpenAIRE |
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