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White blood cell count predicts the odds of kidney function decline in a Chinese community-based population

BACKGROUND: Inflammatory processes are very important in the development of kidney disease. Nevertheless, the association between white blood cell (WBC) count and the risk of renal dysfunction has not been well-established, especially in subjects without chronic kidney disease (CKD). Our study inves...

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Autores principales: Fan, Fangfang, Jia, Jia, Li, Jianping, Huo, Yong, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463367/
https://www.ncbi.nlm.nih.gov/pubmed/28592280
http://dx.doi.org/10.1186/s12882-017-0608-4
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author Fan, Fangfang
Jia, Jia
Li, Jianping
Huo, Yong
Zhang, Yan
author_facet Fan, Fangfang
Jia, Jia
Li, Jianping
Huo, Yong
Zhang, Yan
author_sort Fan, Fangfang
collection PubMed
description BACKGROUND: Inflammatory processes are very important in the development of kidney disease. Nevertheless, the association between white blood cell (WBC) count and the risk of renal dysfunction has not been well-established, especially in subjects without chronic kidney disease (CKD). Our study investigated the association between WBC count and kidney function decline in a Chinese community-based population with baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m(2). METHODS: A total of 3768 subjects who were enrolled in an atherosclerosis cohort in Beijing were included in this study. EGFRs were calculated at baseline and follow-up using the CKD-EPI formula. The outcomes of this study were renal function decline (RFD) (a drop in eGFR stage along with a decline in eGFR of 25% or exceeding 5 mL/min/1.73 m(2)/year), rapid eGFR decline (an annual decrease in eGFR exceeding 3 mL/min/1.73 m(2)), and incident CKD (eGFR <60 min/1.73 m(2) at follow-up). Multivariate logistic regression models were used to evaluate the associations between WBC count and each outcome. RESULTS: On average, the subjects were 56.6 ± 8.5 years old, and 35.9% were male. Of the participants, 48.6% had hypertension and 17.4% had diabetes. The mean (SD) WBC count at baseline was 6.1 ± 1.5 × 10(9)/L. The mean (SD) eGFR at baseline was 101.1 ± 10.6 mL/min/1.73 m(2). After 2.3 years follow-up, the incidence rates of RFD, rapid eGFR decline and new CKD were 7.7, 20.9, and 0.8%, respectively. WBC count was significantly related to RFD, rapid eGFR decline and new CKD in the univariate analyses. Even after adjustment for demographic variables, comorbidities, medications and baseline eGFR, these associations remained. Moreover, similar trends in RFD were observed in nearly all subgroups stratified by each confounding variable. The increase in the odds of RFD associated with each 10(9)/L increase in WBC count was significantly greater in subjects not undergoing treatment with lipid-lowering drugs than those not undergoing this treatment (P-interaction: 0.05). CONCLUSIONS: In conclusion, elevated WBC count served as a predictor of the odds of kidney function decline in this population, which supports the hypothesis that systemic inflammation may serve as a risk factor for CKD development. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0608-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-54633672017-06-08 White blood cell count predicts the odds of kidney function decline in a Chinese community-based population Fan, Fangfang Jia, Jia Li, Jianping Huo, Yong Zhang, Yan BMC Nephrol Research Article BACKGROUND: Inflammatory processes are very important in the development of kidney disease. Nevertheless, the association between white blood cell (WBC) count and the risk of renal dysfunction has not been well-established, especially in subjects without chronic kidney disease (CKD). Our study investigated the association between WBC count and kidney function decline in a Chinese community-based population with baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m(2). METHODS: A total of 3768 subjects who were enrolled in an atherosclerosis cohort in Beijing were included in this study. EGFRs were calculated at baseline and follow-up using the CKD-EPI formula. The outcomes of this study were renal function decline (RFD) (a drop in eGFR stage along with a decline in eGFR of 25% or exceeding 5 mL/min/1.73 m(2)/year), rapid eGFR decline (an annual decrease in eGFR exceeding 3 mL/min/1.73 m(2)), and incident CKD (eGFR <60 min/1.73 m(2) at follow-up). Multivariate logistic regression models were used to evaluate the associations between WBC count and each outcome. RESULTS: On average, the subjects were 56.6 ± 8.5 years old, and 35.9% were male. Of the participants, 48.6% had hypertension and 17.4% had diabetes. The mean (SD) WBC count at baseline was 6.1 ± 1.5 × 10(9)/L. The mean (SD) eGFR at baseline was 101.1 ± 10.6 mL/min/1.73 m(2). After 2.3 years follow-up, the incidence rates of RFD, rapid eGFR decline and new CKD were 7.7, 20.9, and 0.8%, respectively. WBC count was significantly related to RFD, rapid eGFR decline and new CKD in the univariate analyses. Even after adjustment for demographic variables, comorbidities, medications and baseline eGFR, these associations remained. Moreover, similar trends in RFD were observed in nearly all subgroups stratified by each confounding variable. The increase in the odds of RFD associated with each 10(9)/L increase in WBC count was significantly greater in subjects not undergoing treatment with lipid-lowering drugs than those not undergoing this treatment (P-interaction: 0.05). CONCLUSIONS: In conclusion, elevated WBC count served as a predictor of the odds of kidney function decline in this population, which supports the hypothesis that systemic inflammation may serve as a risk factor for CKD development. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0608-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-07 /pmc/articles/PMC5463367/ /pubmed/28592280 http://dx.doi.org/10.1186/s12882-017-0608-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Fan, Fangfang
Jia, Jia
Li, Jianping
Huo, Yong
Zhang, Yan
White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title_full White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title_fullStr White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title_full_unstemmed White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title_short White blood cell count predicts the odds of kidney function decline in a Chinese community-based population
title_sort white blood cell count predicts the odds of kidney function decline in a chinese community-based population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5463367/
https://www.ncbi.nlm.nih.gov/pubmed/28592280
http://dx.doi.org/10.1186/s12882-017-0608-4
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