PhD Scientific Days 2025

Poster Session III. - V: Cardiovascular Medicine and Research

Survival after OHCA in Hungary: a population-level analysis of 108,000 cases

Előadó neve

Dr. Kiss Boldizsár

Neptun code

BMSOE5

Előadó munkahelye

Heart and Vascular Centre, Semmelweis University

Előadó telefonszáma

+36206663575

Előadó e-mail címe

kiss.boldizsar@phd.semmelweis.hu

Az előadás címe

Survival after OHCA in Hungary: a population-level analysis of 108,000 cases

Szerző(k) neve és munkahelye

Boldizsár Kiss¹, Ádám Pál-Jakab¹, Bettina Nagy¹, Gabor Koós¹, Gábor Csató², György Pápai², Nora Boussoussou¹, Péter Sótonyi¹, Brigitta Szilágyi³, Béla Merkely¹, Endre Zima¹

1: Heart and Vascular Centre, Semmelweis University
2: Hungarian National Ambulance Service
3: Budapest University of Technology and Economics

Bemutatás módja

Poszter

Szekció

Poster Session III. - V: Cardiovascular Medicine and Research

Language of the presentation

Hungarian

Preferred session

Cardiovascular Medicine and Research

Összefoglaló szövege

Introduction: Out-of-hospital cardiac arrest (OHCA) has a poor prognosis, and the relative impact on survival in Hungary remains unclear.
Aim: This study aimed to characterise age-related survival patterns, identify independent predictors, and develop a predictive model using emergency medical services (EMS) data.
Methods: We analyzed 108.191 adult OHCA cases from the Hungarian National EMS registry. Survival to hospital discharge was assessed across six age groups (<45 to ≥85 years). We developed a logistic regression model in stages: a base model (demographics + initial rhythm), an extended model (adding responder type and comorbidities), and a final reduced model using backward selection. Model discrimination was assessed by the area under curve (AUC), and multivariate odds ratios (ORs) with 95% confidence intervals (CIs) were computed overall and by age group (<65 vs ≥65). A heatmap visualized survival by age and comorbidity.
Results: Survival declined steadily from 3.5% (≥85 years) to 12.9% (<45 years). The base model had modest discrimination (AUC 0.599); this improved to 0.813 with the inclusion of responder and comorbidity data, retained in the final model. Shockable rhythms were the strongest survival predictors (VF/VT OR 8.74, CI95% 8.18–9.34). Physician responders increased survival odds by 61% (OR 1.61, CI95% 1.42–1.82), while each additional year of age reduced odds by 2% (OR 0.98, CI 95% 0.98–0.98). Female sex was slightly protective (OR 1.23, CI95% 1.17–1.29). Age-stratified analyses confirmed consistent effects. Heatmaps showed younger patients with atrial fibrillation or COPD had higher survival (20–24%), whereas older, comorbid patients had lower rates (4–7%).
Conclusions: In Hungarian OHCA, initial rhythm and responder type are the dominant determinants of survival, with age and sex exerting smaller effects. A parsimonious model incorporating these factors demonstrates strong discrimination and may inform risk stratification and resource allocation in pre-hospital care.
Funding: Supported by the EKÖP-2024-206 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund.

University

Semmelweis University

Supervisor

Prof. Endre Zima

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

phd.section.field

after finishing doctoral studies with absolutorium (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6033

Start

15:00

End

15:06