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Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study
BACKGROUND: The aim of our study was to describe seasonal trends of acute kidney injury (AKI) and its relationship with weather conditions in a hospitalized population. METHODS: We retrospectively collected demographic (age, sex), clinical (ICD-9-CM codes of diagnosis discharge) and laboratory data...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811228/ https://www.ncbi.nlm.nih.gov/pubmed/33451322 http://dx.doi.org/10.1186/s12940-021-00691-5 |
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author | Lombardi, Gianmarco Gambaro, Giovanni Pertica, Nicoletta Naticchia, Alessandro Bargagli, Matteo Ferraro, Pietro Manuel |
author_facet | Lombardi, Gianmarco Gambaro, Giovanni Pertica, Nicoletta Naticchia, Alessandro Bargagli, Matteo Ferraro, Pietro Manuel |
author_sort | Lombardi, Gianmarco |
collection | PubMed |
description | BACKGROUND: The aim of our study was to describe seasonal trends of acute kidney injury (AKI) and its relationship with weather conditions in a hospitalized population. METHODS: We retrospectively collected demographic (age, sex), clinical (ICD-9-CM codes of diagnosis discharge) and laboratory data (creatinine values) from the inpatient population admitted to Fondazione Policlinico Universitario A. Gemelli IRCCS between January 2010 and December 2014 with inclusion of all patients ≥18 years with at least two values available for creatinine. The outcome of interest was AKI development, defined according to creatinine kinetics criteria. The exposures of interest were the months and seasons of the year; air temperature and humidity level were also evaluated. Log-binomial regression models adjusted for age, sex, eGFR, comorbidities, Charlson/Deyo index score, year of hospitalization were used to estimate risk ratios (RR) and 95% confidential intervals (CI). RESULTS: A total of 64,610 patients met the inclusion criteria. AKI occurred in 2864 (4.4%) hospital admissions. After full adjustment, winter period was associated with increased risk of AKI (RR 1.16, 95% CI 1.05, 1.29, p=0.003). Lower air temperature and higher humidity level were associated with risk of AKI, however in multivariable-adjusted models only higher humidity level showed a significant and independent association. CONCLUSIONS: AKI is one of the most common complications of hospitalized populations with a defined seasonal pattern and a significant increase in incidence during wintertime; weather conditions, particularly higher humidity level, are independent predictors of AKI and could partially justify the observed seasonal variations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00691-5. |
format | Online Article Text |
id | pubmed-7811228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78112282021-01-18 Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study Lombardi, Gianmarco Gambaro, Giovanni Pertica, Nicoletta Naticchia, Alessandro Bargagli, Matteo Ferraro, Pietro Manuel Environ Health Research BACKGROUND: The aim of our study was to describe seasonal trends of acute kidney injury (AKI) and its relationship with weather conditions in a hospitalized population. METHODS: We retrospectively collected demographic (age, sex), clinical (ICD-9-CM codes of diagnosis discharge) and laboratory data (creatinine values) from the inpatient population admitted to Fondazione Policlinico Universitario A. Gemelli IRCCS between January 2010 and December 2014 with inclusion of all patients ≥18 years with at least two values available for creatinine. The outcome of interest was AKI development, defined according to creatinine kinetics criteria. The exposures of interest were the months and seasons of the year; air temperature and humidity level were also evaluated. Log-binomial regression models adjusted for age, sex, eGFR, comorbidities, Charlson/Deyo index score, year of hospitalization were used to estimate risk ratios (RR) and 95% confidential intervals (CI). RESULTS: A total of 64,610 patients met the inclusion criteria. AKI occurred in 2864 (4.4%) hospital admissions. After full adjustment, winter period was associated with increased risk of AKI (RR 1.16, 95% CI 1.05, 1.29, p=0.003). Lower air temperature and higher humidity level were associated with risk of AKI, however in multivariable-adjusted models only higher humidity level showed a significant and independent association. CONCLUSIONS: AKI is one of the most common complications of hospitalized populations with a defined seasonal pattern and a significant increase in incidence during wintertime; weather conditions, particularly higher humidity level, are independent predictors of AKI and could partially justify the observed seasonal variations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00691-5. BioMed Central 2021-01-15 /pmc/articles/PMC7811228/ /pubmed/33451322 http://dx.doi.org/10.1186/s12940-021-00691-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Lombardi, Gianmarco Gambaro, Giovanni Pertica, Nicoletta Naticchia, Alessandro Bargagli, Matteo Ferraro, Pietro Manuel Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title | Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title_full | Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title_fullStr | Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title_full_unstemmed | Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title_short | Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
title_sort | seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811228/ https://www.ncbi.nlm.nih.gov/pubmed/33451322 http://dx.doi.org/10.1186/s12940-021-00691-5 |
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