A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study

Objectives: Chronic kidney disease (CKD) is associated with disability, low quality of life, and mortality. However, most cases are asymptomatic, often detected incidentally, or only recognized when they have progressed to the later stages with complications. The present study aimed to determine the...

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Main Authors: Nghia H. Vo, Bui V. Pham, Nghia N. Nguyen, Bao T. Nguyen
Format: Article
Language:English
Published: SAGE Publishing 2025-01-01
Series:Canadian Journal of Kidney Health and Disease
Online Access:https://doi.org/10.1177/20543581241309979
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author Nghia H. Vo
Bui V. Pham
Nghia N. Nguyen
Bao T. Nguyen
author_facet Nghia H. Vo
Bui V. Pham
Nghia N. Nguyen
Bao T. Nguyen
author_sort Nghia H. Vo
collection DOAJ
description Objectives: Chronic kidney disease (CKD) is associated with disability, low quality of life, and mortality. However, most cases are asymptomatic, often detected incidentally, or only recognized when they have progressed to the later stages with complications. The present study aimed to determine the prevalence of CKD and develop a predictive nomogram for CKD in Vietnamese adults. Methods: This cross-sectional, population-based study involved 533 men and 957 women aged 18 years and older who were screened for CKD. The CKD was diagnosed using the albumin-to-creatinine ratio and/or estimated glomerular filtration rate by the CKD-EPI 2009 equation based on serum creatinine, age, gender, and race (these tests included a baseline measurement and a repeat measurement after 3 months) according to the KDIGO 2012 guideline. We used the Bayesian Model Averaging method to identify the optimal model for predicting CKD. A predictive nomogram was also developed to enable risk prediction. Results: The overall CKD prevalence was 13.1% (95% confidence interval [CI] = 11.6-14.6), with a prevalence of 11.8% (95% CI = 9.1-14.5) in men and 13.8% (95% CI = 11.6-16) in women. The optimal model for predicting CKD included age (odds ratio [OR] per 5-year increase = 1.19; 95% CI = 1.11-1.28), hypertension (OR = 2.08; 95% CI = 1.50-2.89), and diabetes (OR = 1.69; 95% CI = 1.18-2.43). The area under the receiver operating characteristic curve was 0.7, with a 95% CI ranging from 0.65 to 0.73. Conclusions: The CKD is relatively common among Vietnamese adults. A simple model—including age, hypertension, and diabetes—is helpful for the selective screening of CKD in Vietnamese individuals.
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spelling doaj-art-9a68cf80983e4a3a9e4c3536f6f3e01e2025-01-06T12:03:19ZengSAGE PublishingCanadian Journal of Kidney Health and Disease2054-35812025-01-011210.1177/20543581241309979A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based StudyNghia H. Vo0Bui V. Pham1Nghia N. Nguyen2Bao T. Nguyen3Can Tho University of Medicine and Pharmacy, Can Tho, VietnamNguyen Tri Phuong Hospital, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, VietnamCan Tho University of Medicine and Pharmacy, Can Tho, VietnamCan Tho University of Medicine and Pharmacy, Can Tho, VietnamObjectives: Chronic kidney disease (CKD) is associated with disability, low quality of life, and mortality. However, most cases are asymptomatic, often detected incidentally, or only recognized when they have progressed to the later stages with complications. The present study aimed to determine the prevalence of CKD and develop a predictive nomogram for CKD in Vietnamese adults. Methods: This cross-sectional, population-based study involved 533 men and 957 women aged 18 years and older who were screened for CKD. The CKD was diagnosed using the albumin-to-creatinine ratio and/or estimated glomerular filtration rate by the CKD-EPI 2009 equation based on serum creatinine, age, gender, and race (these tests included a baseline measurement and a repeat measurement after 3 months) according to the KDIGO 2012 guideline. We used the Bayesian Model Averaging method to identify the optimal model for predicting CKD. A predictive nomogram was also developed to enable risk prediction. Results: The overall CKD prevalence was 13.1% (95% confidence interval [CI] = 11.6-14.6), with a prevalence of 11.8% (95% CI = 9.1-14.5) in men and 13.8% (95% CI = 11.6-16) in women. The optimal model for predicting CKD included age (odds ratio [OR] per 5-year increase = 1.19; 95% CI = 1.11-1.28), hypertension (OR = 2.08; 95% CI = 1.50-2.89), and diabetes (OR = 1.69; 95% CI = 1.18-2.43). The area under the receiver operating characteristic curve was 0.7, with a 95% CI ranging from 0.65 to 0.73. Conclusions: The CKD is relatively common among Vietnamese adults. A simple model—including age, hypertension, and diabetes—is helpful for the selective screening of CKD in Vietnamese individuals.https://doi.org/10.1177/20543581241309979
spellingShingle Nghia H. Vo
Bui V. Pham
Nghia N. Nguyen
Bao T. Nguyen
A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
Canadian Journal of Kidney Health and Disease
title A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
title_full A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
title_fullStr A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
title_full_unstemmed A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
title_short A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study
title_sort predictive nomogram for selective screening of chronic kidney disease a population based study
url https://doi.org/10.1177/20543581241309979
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