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Albuminuria, estimated glomerular filtration rate, and traditional predictors for composite cardiovascular and kidney outcome: a population-based cohort study in Korea

Kidney research and clinical practice, 2022-09, Vol.41 (5), p.567-579 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 2211-9132

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  • Title:
    Albuminuria, estimated glomerular filtration rate, and traditional predictors for composite cardiovascular and kidney outcome: a population-based cohort study in Korea
  • Author: Hae Hyuk Jung
  • Subjects: Albuminuria ; Cardiovascular diseases ; Glomerular filtration rate ; Kidney diseases ; Primary prevention
  • Is Part Of: Kidney research and clinical practice, 2022-09, Vol.41 (5), p.567-579
  • Description: Background: Certain pharmacotherapies have shown to be effective for both cardiac and kidney outcomes. Although risk prediction is important in treatment decision-making, few studies have evaluated prediction models for composite cardiovascular and kidney outcomes. Methods: This study included 2,195,341 Korean adults from a nationwide cohort for chronic kidney disease and a representative sample of the general population, with a 9-year follow-up. This study evaluated prediction models for a composite of major cardiovascular events or kidney disease progression that included albuminuria and estimated glomerular filtration rate (eGFR) and/or traditional cardiovascular disease predictors. Results: The addition of albuminuria and eGFR to a model for the composite outcome that included age, sex, and traditional predictors increased a C statistic by 0.0459, while the addition of traditional predictors to age, sex, albuminuria, and eGFR increased a C statistic by 0.0157. When age and sex-adjusted incidence rates were calculated across the combined Pooled-Cohort-Equations (PCEs) and Kidney Disease: Improving Global Outcomes (KDIGO) risk categories in diabetic or hypertensive participants, the incidence of ≥10 per 1,000 person-years was observed among all categories with high or very high KDIGO risk and among categories with moderate (or low) KDIGO risk and a PCEs 10-year risk of ≥10% (or ≥20%), accounting for 36% of diabetic and 18% of hypertensive populations. Conclusion: This study strongly supports the utility of the KDIGO risk matrix combined with a conventional cardiovascular risk score for the prediction of composite cardiovascular and kidney outcome and provides epidemiologic data relevant to the development of efficient treatment strategies.
  • Publisher: 대한신장학회
  • Language: Korean
  • Identifier: ISSN: 2211-9132
  • Source: PubMed Central
    DOAJ Directory of Open Access Journals
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