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Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study

Climate change leads to more days with extremely hot temperatures. Previous analyses of heat waves have documented a short-term rise in mortality. The results on the relationship between high temperatures and hospitalisations, especially in vulnerable patients admitted to nursing homes, are inconsis...

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Autores principales: Van den Wyngaert, Ine, De Troeyer, Katrien, Vaes, Bert, Alsaiqali, Mahmoud, Van Schaeybroeck, Bert, Hamdi, Rafiq, Casas Ruiz, Lidia, Van Pottelbergh, Gijs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536121/
https://www.ncbi.nlm.nih.gov/pubmed/34682444
http://dx.doi.org/10.3390/ijerph182010697
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author Van den Wyngaert, Ine
De Troeyer, Katrien
Vaes, Bert
Alsaiqali, Mahmoud
Van Schaeybroeck, Bert
Hamdi, Rafiq
Casas Ruiz, Lidia
Van Pottelbergh, Gijs
author_facet Van den Wyngaert, Ine
De Troeyer, Katrien
Vaes, Bert
Alsaiqali, Mahmoud
Van Schaeybroeck, Bert
Hamdi, Rafiq
Casas Ruiz, Lidia
Van Pottelbergh, Gijs
author_sort Van den Wyngaert, Ine
collection PubMed
description Climate change leads to more days with extremely hot temperatures. Previous analyses of heat waves have documented a short-term rise in mortality. The results on the relationship between high temperatures and hospitalisations, especially in vulnerable patients admitted to nursing homes, are inconsistent. The objective of this research was to examine the discrepancy between heat-related mortality and morbidity in nursing homes. A time-stratified case-crossover study about the impact of heat waves on mortality and hospitalisations between 1 January 2013 and 31 December 2017 was conducted in 10 nursing homes over 5 years in Flanders, Belgium. In this study, the events were deaths and hospitalisations. We selected our control days during the same month as the events and matched them by day of the week. Heat waves were the exposure. Conditional logistic regression models were applied. The associations were reported as odds ratios at lag 0, 1, 2, and 3 and their 95% confidence intervals. In the investigated time period, 3048 hospitalisations took place and 1888 residents died. The conditional logistic regression showed that odds ratios of mortality and hospitalisations during heat waves were 1.61 (95% confidence interval 1.10–2.37) and 0.96 (95% confidence interval 0.67–1.36), respectively, at lag 0. Therefore, the increase in mortality during heat waves was statistically significant, but no significant changes in hospitalisations were obtained. Our result suggests that heat waves have an adverse effect on mortality in Flemish nursing homes but have no significant effect on the number of hospitalisations.
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spelling pubmed-85361212021-10-23 Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study Van den Wyngaert, Ine De Troeyer, Katrien Vaes, Bert Alsaiqali, Mahmoud Van Schaeybroeck, Bert Hamdi, Rafiq Casas Ruiz, Lidia Van Pottelbergh, Gijs Int J Environ Res Public Health Article Climate change leads to more days with extremely hot temperatures. Previous analyses of heat waves have documented a short-term rise in mortality. The results on the relationship between high temperatures and hospitalisations, especially in vulnerable patients admitted to nursing homes, are inconsistent. The objective of this research was to examine the discrepancy between heat-related mortality and morbidity in nursing homes. A time-stratified case-crossover study about the impact of heat waves on mortality and hospitalisations between 1 January 2013 and 31 December 2017 was conducted in 10 nursing homes over 5 years in Flanders, Belgium. In this study, the events were deaths and hospitalisations. We selected our control days during the same month as the events and matched them by day of the week. Heat waves were the exposure. Conditional logistic regression models were applied. The associations were reported as odds ratios at lag 0, 1, 2, and 3 and their 95% confidence intervals. In the investigated time period, 3048 hospitalisations took place and 1888 residents died. The conditional logistic regression showed that odds ratios of mortality and hospitalisations during heat waves were 1.61 (95% confidence interval 1.10–2.37) and 0.96 (95% confidence interval 0.67–1.36), respectively, at lag 0. Therefore, the increase in mortality during heat waves was statistically significant, but no significant changes in hospitalisations were obtained. Our result suggests that heat waves have an adverse effect on mortality in Flemish nursing homes but have no significant effect on the number of hospitalisations. MDPI 2021-10-12 /pmc/articles/PMC8536121/ /pubmed/34682444 http://dx.doi.org/10.3390/ijerph182010697 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Van den Wyngaert, Ine
De Troeyer, Katrien
Vaes, Bert
Alsaiqali, Mahmoud
Van Schaeybroeck, Bert
Hamdi, Rafiq
Casas Ruiz, Lidia
Van Pottelbergh, Gijs
Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title_full Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title_fullStr Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title_full_unstemmed Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title_short Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study
title_sort impact of heat waves on hospitalisation and mortality in nursing homes: a case-crossover study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536121/
https://www.ncbi.nlm.nih.gov/pubmed/34682444
http://dx.doi.org/10.3390/ijerph182010697
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