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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 |
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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 <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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0285102</identifier><identifier>PMID: 37134104</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2023-05, Vol.18 (5), p.e0285102-e0285102</ispartof><rights>Copyright: © 2023 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Lee et al 2023 Lee et al</rights><rights>2023 Lee et al. 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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 <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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This study developed sex-specific prediction equations with reasonable performance in a population with normal renal function.</description><subject>Alcohol</subject><subject>Alcohol use</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Cholesterol</subject><subject>Chronic kidney failure</subject><subject>Creatinine</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diagnosis</subject><subject>Disease susceptibility</subject><subject>Epidermal growth factor receptors</subject><subject>Family medical history</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Health risks</subject><subject>Heart</subject><subject>Hemoglobin</subject><subject>High density 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of incident chronic kidney disease in a population with normal renal function and normo-proteinuria</title><author>Lee, Seung Min ; Kim, Su Hwan ; Yoon, Hyung-Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-b8d23b145630d2f6794a5c0de829189dc27fede1326159dbee068e16b2a62a173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alcohol</topic><topic>Alcohol use</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Cholesterol</topic><topic>Chronic kidney failure</topic><topic>Creatinine</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diagnosis</topic><topic>Disease susceptibility</topic><topic>Epidermal growth factor receptors</topic><topic>Family medical history</topic><topic>Female</topic><topic>Glomerular Filtration 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Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Seung Min</au><au>Kim, Su Hwan</au><au>Yoon, Hyung-Jin</au><au>Bhimma, Rajendra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of incident chronic kidney disease in a population with normal renal function and normo-proteinuria</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-05-03</date><risdate>2023</risdate><volume>18</volume><issue>5</issue><spage>e0285102</spage><epage>e0285102</epage><pages>e0285102-e0285102</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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 <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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