{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Girotra S"],"funding":["NHLBI NIH HHS"],"pagination":["2159-68"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4889467"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["133(22)"],"pubmed_abstract":["<h4>Background</h4>Although previous studies have shown marked variation in out-of-hospital cardiac arrest survival across US regions, factors underlying this survival variation remain incompletely explained.<h4>Methods and results</h4>Using data from the Cardiac Arrest Registry to Enhance Survival, we identified 96 662 adult patients with out-of-hospital cardiac arrest in 132 US counties. We used hierarchical regression models to examine county-level variation in rates of survival and survival with functional recovery (defined as Cerebral Performance Category score of 1 or 2) and examined the contribution of demographics, cardiac arrest characteristics, bystander cardiopulmonary resuscitation, automated external defibrillator use, and county-level sociodemographic factors in survival vari"],"journal":["Circulation"],"pubmed_title":["Regional Variation in Out-of-Hospital Cardiac Arrest Survival in the United States."],"pmcid":["PMC4889467"],"funding_grant_id":["K23 HL102224","K08 HL122527","R01 HL123980"],"pubmed_authors":["CARES Surveillance Group and the HeartRescue Project","Sasson C","Chan PS","Vellano K","Anderson ML","Abella BS","McNally B","Girotra S","Carrel M","van Diepen S","Nallamothu BK"],"additional_accession":[]},"is_claimable":false,"name":"Regional Variation in Out-of-Hospital Cardiac Arrest Survival in the United States.","description":"<h4>Background</h4>Although previous studies have shown marked variation in out-of-hospital cardiac arrest survival across US regions, factors underlying this survival variation remain incompletely explained.<h4>Methods and results</h4>Using data from the Cardiac Arrest Registry to Enhance Survival, we identified 96 662 adult patients with out-of-hospital cardiac arrest in 132 US counties. We used hierarchical regression models to examine county-level variation in rates of survival and survival with functional recovery (defined as Cerebral Performance Category score of 1 or 2) and examined the contribution of demographics, cardiac arrest characteristics, bystander cardiopulmonary resuscitation, automated external defibrillator use, and county-level sociodemographic factors in survival vari","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 May","modification":"2025-04-04T02:35:57.072Z","creation":"2025-04-04T02:35:57.072Z"},"accession":"S-EPMC4889467","cross_references":{"pubmed":["27081119"],"doi":["10.1161/circulationaha.115.018175","10.1161/CIRCULATIONAHA.115.018175"]}}