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Prediction of incident chronic kidney disease in a population with normal renal function and normo-proteinuria

Regarding the irreversible clinical course of chronic kidney disease, identifying high-risk subjects susceptible to Chronic Kidney Disease (CKD) has an important clinical implication. Previous studies have developed risk prediction models identifying high-risk individuals within a group, including t...

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Published in:PloS one 2023-05, Vol.18 (5), p.e0285102-e0285102
Main Authors: Lee, Seung Min, Kim, Su Hwan, Yoon, Hyung-Jin
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description Regarding the irreversible clinical course of chronic kidney disease, identifying high-risk subjects susceptible to Chronic Kidney Disease (CKD) has an important clinical implication. Previous studies have developed risk prediction models identifying high-risk individuals within a group, including those who may have experienced minor renal damage, to provide an opportunity for initiating therapies or interventions at earlier stages of CKD. To date, there were no other studies developed a prediction model with quantitative risk factors to detect the earliest stage of CKD that individuals with normal renal function in the general population may experience. We derived 11,495,668 individuals with an estimated glomerular filtration rate (eGFR) ≥90 mL/min/1.73 m2 and normo-proteinuria, who underwent health screening ≥2 times between 2009 and 2016 from the prospective nationwide registry cohort. The primary outcome was the incident CKD, defined by an eGFR
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Previous studies have developed risk prediction models identifying high-risk individuals within a group, including those who may have experienced minor renal damage, to provide an opportunity for initiating therapies or interventions at earlier stages of CKD. To date, there were no other studies developed a prediction model with quantitative risk factors to detect the earliest stage of CKD that individuals with normal renal function in the general population may experience. We derived 11,495,668 individuals with an estimated glomerular filtration rate (eGFR) ≥90 mL/min/1.73 m2 and normo-proteinuria, who underwent health screening ≥2 times between 2009 and 2016 from the prospective nationwide registry cohort. The primary outcome was the incident CKD, defined by an eGFR &lt;60 mL/min/1.73 m2. Sex-specific multivariate Cox regression models predicting the 8-year incident CKD risk were developed. 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Previous studies have developed risk prediction models identifying high-risk individuals within a group, including those who may have experienced minor renal damage, to provide an opportunity for initiating therapies or interventions at earlier stages of CKD. To date, there were no other studies developed a prediction model with quantitative risk factors to detect the earliest stage of CKD that individuals with normal renal function in the general population may experience. We derived 11,495,668 individuals with an estimated glomerular filtration rate (eGFR) ≥90 mL/min/1.73 m2 and normo-proteinuria, who underwent health screening ≥2 times between 2009 and 2016 from the prospective nationwide registry cohort. The primary outcome was the incident CKD, defined by an eGFR &lt;60 mL/min/1.73 m2. Sex-specific multivariate Cox regression models predicting the 8-year incident CKD risk were developed. The performance of developed models was assessed using Harrell's C and the area under the receiver operating characteristics curve (AUROC) with 10-fold cross-validation. Both men and women, who met the definition of incident CKD, were older and had more medical treatment history in hypertension and diabetes. Harrell's C and AUROC of the developed prediction models were 0.82 and 0.83 for men and 0.79 and 0.80 for women. This study developed sex-specific prediction equations with reasonable performance in a population with normal renal function.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37134104</pmid><doi>10.1371/journal.pone.0285102</doi><tpages>e0285102</tpages><orcidid>https://orcid.org/0000-0003-4432-4894</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alcohol
Alcohol use
Analysis
Biology and Life Sciences
Blood pressure
Body mass index
Cardiovascular disease
Cholesterol
Chronic kidney failure
Creatinine
Diabetes
Diabetes mellitus
Diagnosis
Disease susceptibility
Epidermal growth factor receptors
Family medical history
Female
Glomerular Filtration Rate
Health risks
Heart
Hemoglobin
High density lipoprotein
Humans
Hyperlipidemia
Hypertension
Kidney - physiology
Kidney diseases
Kidneys
Laboratories
Lipoproteins
Male
Medical screening
Medical treatment
Medicine and Health Sciences
Men
Modelling
Physical Sciences
Prediction models
Prospective Studies
Proteinuria
Questionnaires
Regression analysis
Regression models
Renal function
Renal Insufficiency, Chronic - complications
Renal Insufficiency, Chronic - diagnosis
Renal Insufficiency, Chronic - epidemiology
Research and Analysis Methods
Risk Factors
Sex
Statistical significance
Stroke
Urine
Women
Womens health
title Prediction of incident chronic kidney disease in a population with normal renal function and normo-proteinuria
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