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Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria
BACKGROUND: There exists a synergy between chronic kidney disease (CKD) and cardiovascular risk factors (CVRFs) with increased morbidity and poor outcomes. OBJECTIVES: Data relating to this clustering in black homogenous populations is scanty. We aim to investigate this relationship in Nigerian comm...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Diabetic Nephropathy Prevention
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607983/ https://www.ncbi.nlm.nih.gov/pubmed/28975101 http://dx.doi.org/10.15171/jnp.2017.33 |
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author | Oluyombo, Rotimi Olamoyegun, Michael Adeyemi Ayodele, Olugbenga Edward Akinwusi, Patience Olayinka Akinsola, Adewale |
author_facet | Oluyombo, Rotimi Olamoyegun, Michael Adeyemi Ayodele, Olugbenga Edward Akinwusi, Patience Olayinka Akinsola, Adewale |
author_sort | Oluyombo, Rotimi |
collection | PubMed |
description | BACKGROUND: There exists a synergy between chronic kidney disease (CKD) and cardiovascular risk factors (CVRFs) with increased morbidity and poor outcomes. OBJECTIVES: Data relating to this clustering in black homogenous populations is scanty. We aim to investigate this relationship in Nigerian communities. PATIENTS AND METHODS: It was a cross-sectional observation study from semi-urban communities in South-West Nigeria. We used modified World Health Organization (WHO) questionnaire on chronic diseases (WHO STEPS) to gather information on socio-demographic data, biophysical and clinical characteristics. Biochemical analysis of plasma samples was done. RESULTS: We analyzed data of 1084 with mean age of 56.3 ± 19.9 years (33.4% female). Prevalence of stage 3 CKD was 14.2% (3a and 3b were 10.3% and 3% respectively). Prevalence of hypertension (systolic and diastolic blood pressure) and low high-density lipoprotein cholesterol (HDL-C) increased as clustering of cardiovascular (CV) risk factors (CVFRs) increased both in CKD and proteinuria (P < 0.05). CKD prevalence increases with number of risk factors. There was an inverse relationship between increasing risk factors and mean estimated glomerular filtration rate (eGFR) (P < 0.05). Clustering at least 2 CVRFs in the population with CKD compared to those without CKD was significantly higher (76.6% vs. 65.1%, OR: 1.8, 95% CI: 1.2-2.6, P = 0.005). Similarly, in a univariate analysis, albuminuria had an increased odds of clustering (69.7% vs. 59.6%, OR: 1.9, 95% CI 0.6-6.2, P = 0.409). Using multivariate logistic analysis, there is significantly increased odds of clustering when eGFR is <45 mL/min/1.73 m2 (OR: 2.66, 95% CI: 1.12-6.32) and microalbuminuria 1.74 (95% CI: 1.10-2.75). CONCLUSIONS: Reduced kidney function and proteinuria significantly clustered with CVRFs. This data suggests that individuals with CV clusters should be screened for CKD or vice versa and they should be considered for prompt management of their CVRFs. |
format | Online Article Text |
id | pubmed-5607983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society of Diabetic Nephropathy Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-56079832017-10-03 Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria Oluyombo, Rotimi Olamoyegun, Michael Adeyemi Ayodele, Olugbenga Edward Akinwusi, Patience Olayinka Akinsola, Adewale J Nephropathol Original Article BACKGROUND: There exists a synergy between chronic kidney disease (CKD) and cardiovascular risk factors (CVRFs) with increased morbidity and poor outcomes. OBJECTIVES: Data relating to this clustering in black homogenous populations is scanty. We aim to investigate this relationship in Nigerian communities. PATIENTS AND METHODS: It was a cross-sectional observation study from semi-urban communities in South-West Nigeria. We used modified World Health Organization (WHO) questionnaire on chronic diseases (WHO STEPS) to gather information on socio-demographic data, biophysical and clinical characteristics. Biochemical analysis of plasma samples was done. RESULTS: We analyzed data of 1084 with mean age of 56.3 ± 19.9 years (33.4% female). Prevalence of stage 3 CKD was 14.2% (3a and 3b were 10.3% and 3% respectively). Prevalence of hypertension (systolic and diastolic blood pressure) and low high-density lipoprotein cholesterol (HDL-C) increased as clustering of cardiovascular (CV) risk factors (CVFRs) increased both in CKD and proteinuria (P < 0.05). CKD prevalence increases with number of risk factors. There was an inverse relationship between increasing risk factors and mean estimated glomerular filtration rate (eGFR) (P < 0.05). Clustering at least 2 CVRFs in the population with CKD compared to those without CKD was significantly higher (76.6% vs. 65.1%, OR: 1.8, 95% CI: 1.2-2.6, P = 0.005). Similarly, in a univariate analysis, albuminuria had an increased odds of clustering (69.7% vs. 59.6%, OR: 1.9, 95% CI 0.6-6.2, P = 0.409). Using multivariate logistic analysis, there is significantly increased odds of clustering when eGFR is <45 mL/min/1.73 m2 (OR: 2.66, 95% CI: 1.12-6.32) and microalbuminuria 1.74 (95% CI: 1.10-2.75). CONCLUSIONS: Reduced kidney function and proteinuria significantly clustered with CVRFs. This data suggests that individuals with CV clusters should be screened for CKD or vice versa and they should be considered for prompt management of their CVRFs. Society of Diabetic Nephropathy Prevention 2017-07 2017-02-03 /pmc/articles/PMC5607983/ /pubmed/28975101 http://dx.doi.org/10.15171/jnp.2017.33 Text en © 2017 The Author(s) Published by Society of Diabetic Nephropathy Prevention. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Oluyombo, Rotimi Olamoyegun, Michael Adeyemi Ayodele, Olugbenga Edward Akinwusi, Patience Olayinka Akinsola, Adewale Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title | Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title_full | Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title_fullStr | Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title_full_unstemmed | Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title_short | Clustering of chronic kidney disease and cardiovascular risk factors in South-West Nigeria |
title_sort | clustering of chronic kidney disease and cardiovascular risk factors in south-west nigeria |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607983/ https://www.ncbi.nlm.nih.gov/pubmed/28975101 http://dx.doi.org/10.15171/jnp.2017.33 |
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