{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Miro O"],"funding":["Instituto de Salud Carlos III"],"pagination":["600-609"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9971530"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["38(3)"],"pubmed_abstract":["<h4>Objective</h4>To investigate the relationship between ambient temperature and atmospheric pressure (AP) and the severity of heart failure (HF) decompensations.<h4>Methods</h4>We analysed patients coming from the Epidemioloy Acute Heart Failure Emergency (EAHFE) Registry, a multicentre prospective cohort study enrolling patients diagnosed with decompensated HF in 26 emergency departments (EDs) of 16 Spanish cities. We recorded patient and demographic data and maximum temperature (T<sub>max</sub>) and AP (AP<sub>max</sub>) the day before ED consultation. Associations between temperature and AP and severity endpoints were explored by logistic regression. We used restricted cubic splines to model continuous non-linear associations of temperature and AP with each endpoint.<h4>Results</h4>We"],"journal":["Journal of general internal medicine"],"pubmed_title":["Influence of Meteorological Temperature and Pressure on the Severity of Heart Failure Decompensations."],"pmcid":["PMC9971530"],"funding_grant_id":["PI18/00393"],"pubmed_authors":["Burillo-Putze G","Miro O","Mueller C","Benito-Lozano M","Tost J","Traveria L","Strebel I","Jacob J","ICA-SEMES group","Rodriguez S","Llorens P","Gil V","Yufera-Sanchez A","Espinosa B","Lopez-Ayala P","Alquezar-Arbe A","Lopez-Hernandez MLA"],"additional_accession":[]},"is_claimable":false,"name":"Influence of Meteorological Temperature and Pressure on the Severity of Heart Failure Decompensations.","description":"<h4>Objective</h4>To investigate the relationship between ambient temperature and atmospheric pressure (AP) and the severity of heart failure (HF) decompensations.<h4>Methods</h4>We analysed patients coming from the Epidemioloy Acute Heart Failure Emergency (EAHFE) Registry, a multicentre prospective cohort study enrolling patients diagnosed with decompensated HF in 26 emergency departments (EDs) of 16 Spanish cities. We recorded patient and demographic data and maximum temperature (T<sub>max</sub>) and AP (AP<sub>max</sub>) the day before ED consultation. Associations between temperature and AP and severity endpoints were explored by logistic regression. We used restricted cubic splines to model continuous non-linear associations of temperature and AP with each endpoint.<h4>Results</h4>We","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-05-29T21:30:11.078Z","creation":"2025-05-29T21:30:11.078Z"},"accession":"S-EPMC9971530","cross_references":{"pubmed":["35941492"],"doi":["10.1007/s11606-022-07743-7"]}}