Cargando…
Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data
BACKGROUND: Patients with impaired kidney function were found at a high risk of COVID‐19 hospitalization and mortality in many observational, cross‐sectional, and hospital‐based studies, but evidence from large‐scale prospective cohorts has been lacking. We aimed to examine the association of kidney...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538291/ https://www.ncbi.nlm.nih.gov/pubmed/36124564 http://dx.doi.org/10.1002/mgg3.2047 |
_version_ | 1784803334844055552 |
---|---|
author | Lin, Yifei Ma, Baoshan Yang, Yingxi Chen, Yuxiang Huang, Jin Li, Weimin Yu, Xueqing Liang, Liming |
author_facet | Lin, Yifei Ma, Baoshan Yang, Yingxi Chen, Yuxiang Huang, Jin Li, Weimin Yu, Xueqing Liang, Liming |
author_sort | Lin, Yifei |
collection | PubMed |
description | BACKGROUND: Patients with impaired kidney function were found at a high risk of COVID‐19 hospitalization and mortality in many observational, cross‐sectional, and hospital‐based studies, but evidence from large‐scale prospective cohorts has been lacking. We aimed to examine the association of kidney function‐related biomarkers and their genetic predisposition with the risk of developing severe COVID‐19 in population‐based data. METHODS: We analyzed data from UK Biobank to examine the prospective association of abnormal kidney function biomarkers with severe COVID‐19, defined by laboratory‐confirmed COVID‐19 hospitalizations. Using genotype data, we constructed polygenic risk scores (PRS) to represent an individual's overall genetic risk for these biomarkers. We also identified tipping points where the risk of severe COVID‐19 began to increase significantly for each biomarker. RESULTS: Of the 502,506 adults, 1650 (0.32%) were identified as severe COVID‐19, before August 12, 2020. High levels of cystatin C (OR: 1.3; 95% CI: 1.2–1.5; FDR = 1.5 × 10(−5)), serum creatinine (OR: 1.7; 95% CI: 1.3–2.1; p = 3.5 × 10(−4); FDR = 3.5 × 10(−4)), microalbuminuria (OR: 1.4; 95% CI: 1.2–1.6; FDR = 4 × 10(−4)), and UACR (urinary albumin creatinine ratio; OR: 1.4; 95% CI: 1.2–1.6; p = 3.5 × 10(−4); FDR = 3.5 × 10(−4)) were found significantly associated with severe COVID‐19. Individuals with top 10% of PRS for elevated cystatin C, urate, and microalbuminuria had 28% to 43% higher risks of severe COVID‐19 than individuals with bottom 30% PRS (p < 0.05). Tipping‐point analyses further supported that severe COVID‐19 could occur even when the values of cystatin C, urate (male), and microalbuminuria were within their normal value ranges (OR >1.1, p < 0.05). CONCLUSIONS: Findings from this study might point to new directions for clinicians and policymakers in optimizing risk‐stratification among patients based on polygenic risk estimation and tipping points of kidney function markers. Our results call for further investigation to develop a better strategy to prevent severe COVID‐19 outcomes among patients with genetic predisposition to impaired kidney function. These findings could provide a new tool for clinicians and policymakers in the future especially if we need to live with COVID‐19 for a long time. |
format | Online Article Text |
id | pubmed-9538291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95382912022-10-11 Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data Lin, Yifei Ma, Baoshan Yang, Yingxi Chen, Yuxiang Huang, Jin Li, Weimin Yu, Xueqing Liang, Liming Mol Genet Genomic Med Original Articles BACKGROUND: Patients with impaired kidney function were found at a high risk of COVID‐19 hospitalization and mortality in many observational, cross‐sectional, and hospital‐based studies, but evidence from large‐scale prospective cohorts has been lacking. We aimed to examine the association of kidney function‐related biomarkers and their genetic predisposition with the risk of developing severe COVID‐19 in population‐based data. METHODS: We analyzed data from UK Biobank to examine the prospective association of abnormal kidney function biomarkers with severe COVID‐19, defined by laboratory‐confirmed COVID‐19 hospitalizations. Using genotype data, we constructed polygenic risk scores (PRS) to represent an individual's overall genetic risk for these biomarkers. We also identified tipping points where the risk of severe COVID‐19 began to increase significantly for each biomarker. RESULTS: Of the 502,506 adults, 1650 (0.32%) were identified as severe COVID‐19, before August 12, 2020. High levels of cystatin C (OR: 1.3; 95% CI: 1.2–1.5; FDR = 1.5 × 10(−5)), serum creatinine (OR: 1.7; 95% CI: 1.3–2.1; p = 3.5 × 10(−4); FDR = 3.5 × 10(−4)), microalbuminuria (OR: 1.4; 95% CI: 1.2–1.6; FDR = 4 × 10(−4)), and UACR (urinary albumin creatinine ratio; OR: 1.4; 95% CI: 1.2–1.6; p = 3.5 × 10(−4); FDR = 3.5 × 10(−4)) were found significantly associated with severe COVID‐19. Individuals with top 10% of PRS for elevated cystatin C, urate, and microalbuminuria had 28% to 43% higher risks of severe COVID‐19 than individuals with bottom 30% PRS (p < 0.05). Tipping‐point analyses further supported that severe COVID‐19 could occur even when the values of cystatin C, urate (male), and microalbuminuria were within their normal value ranges (OR >1.1, p < 0.05). CONCLUSIONS: Findings from this study might point to new directions for clinicians and policymakers in optimizing risk‐stratification among patients based on polygenic risk estimation and tipping points of kidney function markers. Our results call for further investigation to develop a better strategy to prevent severe COVID‐19 outcomes among patients with genetic predisposition to impaired kidney function. These findings could provide a new tool for clinicians and policymakers in the future especially if we need to live with COVID‐19 for a long time. John Wiley and Sons Inc. 2022-09-20 /pmc/articles/PMC9538291/ /pubmed/36124564 http://dx.doi.org/10.1002/mgg3.2047 Text en © 2022 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Lin, Yifei Ma, Baoshan Yang, Yingxi Chen, Yuxiang Huang, Jin Li, Weimin Yu, Xueqing Liang, Liming Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title | Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title_full | Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title_fullStr | Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title_full_unstemmed | Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title_short | Impaired kidney function biomarkers and risk of severe COVID‐19: Analysis of population‐based cohort data |
title_sort | impaired kidney function biomarkers and risk of severe covid‐19: analysis of population‐based cohort data |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538291/ https://www.ncbi.nlm.nih.gov/pubmed/36124564 http://dx.doi.org/10.1002/mgg3.2047 |
work_keys_str_mv | AT linyifei impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT mabaoshan impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT yangyingxi impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT chenyuxiang impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT huangjin impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT liweimin impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT yuxueqing impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata AT liangliming impairedkidneyfunctionbiomarkersandriskofseverecovid19analysisofpopulationbasedcohortdata |