Socioeconomic disadvantage and long-term survival duration in out-of-hospital cardiac arrest patients: A population-based cohort study.

Cardiac arrest Long-term survival Mortality Out-of-hospital cardiac arrest Socioeconomic disadvantage Socioeconomic status

Journal

Resuscitation plus
ISSN: 2666-5204
Titre abrégé: Resusc Plus
Pays: Netherlands
ID NLM: 101774410

Informations de publication

Date de publication:
Jun 2024
Historique:
medline: 25 3 2024
pubmed: 25 3 2024
entrez: 25 3 2024
Statut: epublish

Résumé

Socioeconomic status (SES) is a well-established determinant of cardiovascular health. However, the relationship between SES and clinical outcomes in long-term out-of-hospital cardiac arrest (OHCA) is less well-understood. The Singapore Housing Index (SHI) is a validated building-level SES indicator. We investigated whether SES as measured by SHI is associated with long-term OHCA survival in Singapore. We conducted an open cohort study with linked data from the Singapore Pan-Asian Resuscitation Outcomes Study (PAROS), and the Singapore Registry of Births and Deaths (SRBD) from 2010 to 2020. We fitted generalized structural equation models, calculating hazard ratios (HRs) using a Weibull model. We constructed Kaplan-Meier survival curves and calculated the predicted marginal probability for each SHI category. We included 659 cases. In both univariable and multivariable analyses, SHI did not have a significant association with survival. Indirect pathways of SHI mediated through covariates such as Emergency Medical Services (EMS) response time (HR of low-medium, high-medium and high SHI when compared to low SHI: 0.98 (0.88-1.10), 1.01 (0.93-1.11), 1.02 (0.93-1.12) respectively), and age of arrest (HR of low-medium, high-medium and high SHI when compared to low SHI: 1.02 (0.75-1.38), 1.08 (0.84-1.38), 1.18 (0.91-1.54) respectively) had no significant association with OHCA survival. There was no clear trend in the predicted marginal probability of survival among the different SHI categories. We did not find a significant association between SES and OHCA survival outcomes in residential areas in Singapore. Among other reasons, this could be due to affordable healthcare across different socioeconomic classes.

Sections du résumé

Background UNASSIGNED
Socioeconomic status (SES) is a well-established determinant of cardiovascular health. However, the relationship between SES and clinical outcomes in long-term out-of-hospital cardiac arrest (OHCA) is less well-understood. The Singapore Housing Index (SHI) is a validated building-level SES indicator. We investigated whether SES as measured by SHI is associated with long-term OHCA survival in Singapore.
Methods UNASSIGNED
We conducted an open cohort study with linked data from the Singapore Pan-Asian Resuscitation Outcomes Study (PAROS), and the Singapore Registry of Births and Deaths (SRBD) from 2010 to 2020. We fitted generalized structural equation models, calculating hazard ratios (HRs) using a Weibull model. We constructed Kaplan-Meier survival curves and calculated the predicted marginal probability for each SHI category.
Results UNASSIGNED
We included 659 cases. In both univariable and multivariable analyses, SHI did not have a significant association with survival. Indirect pathways of SHI mediated through covariates such as Emergency Medical Services (EMS) response time (HR of low-medium, high-medium and high SHI when compared to low SHI: 0.98 (0.88-1.10), 1.01 (0.93-1.11), 1.02 (0.93-1.12) respectively), and age of arrest (HR of low-medium, high-medium and high SHI when compared to low SHI: 1.02 (0.75-1.38), 1.08 (0.84-1.38), 1.18 (0.91-1.54) respectively) had no significant association with OHCA survival. There was no clear trend in the predicted marginal probability of survival among the different SHI categories.
Conclusions UNASSIGNED
We did not find a significant association between SES and OHCA survival outcomes in residential areas in Singapore. Among other reasons, this could be due to affordable healthcare across different socioeconomic classes.

Identifiants

pubmed: 38524148
doi: 10.1016/j.resplu.2024.100610
pii: S2666-5204(24)00061-4
pmc: PMC10960127
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100610

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dawn Yi Xin Lee (DYX)

School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.

Chun En Yau (CE)

Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.

Maeve Pin Pin Pek (MPP)

Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

Hanzhang Xu (H)

Department of Family Medicine and Community Health, Duke University, North Carolina, USA.

Daniel Yan Zheng Lim (DYZ)

Data Science and Artificial Intelligence Lab, Singapore General Hospital, Singapore, Singapore.
Department of Gastroenterology, Singapore General Hospital, Singapore, Singapore.

Arul Earnest (A)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Marcus Eng Hock Ong (MEH)

Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.

Andrew Fu Wah Ho (AFW)

Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Pre-hospital and Emergency Research Centre, Duke-NUS Medical School, Singapore, Singapore.
Centre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore, Singapore.

Classifications MeSH