PhD Scientific Days 2026

Cardiovascular Medicine and Research 3.

Influence of extreme temperatures on out-of-hospital cardiac arrest cases in Hungary: a national time-series analysis

Előadó neve

Dr. Nagy, Bettina

Neptune code

YOE5W0

Előadó munkahelye

Heart and Vascular Centre, Semmelweis University

Előadó telefonszáma

06300164413

Előadó e-mail címe

nagy.betta@gmail.com

Az előadás címe

Influence of extreme temperatures on out-of-hospital cardiac arrest cases in Hungary: a national time-series analysis

Szerző(k) neve és munkahelye

Dr. Bettina Nagy¹, Ádám Pál-Jakab MD¹, Boldizsár Kiss MD¹, Endre Zima MD¹

1: Heart and Vascular Centre, Semmelweis University

Bemutatás módja

Szóbeli

Szekció

Cardiovascular Medicine and Research 3.

Language of the presentation

Hungarian

Preferred session

Cardiovascular Medicine and Research

Összefoglaló szövege

Introduction: Out-of-hospital cardiac arrest (OHCA) remains a major public health challenge. We investigated associations between extreme temperature events and OHCA incidence in Hungary, and explored additional meteorological influences.
Methods: We conducted a national time-series analysis of 116,579 adult OHCA cases (Nov 1, 2018–Dec 31, 2023). Negative binomial regression with cluster-robust standard errors assessed associations between daily OHCA counts and extreme temperatures, adjusting for day-of-week, seasonality, and long-term trends. Added-effect models quantified risk attributable to sustained events while controlling for non-linear temperature–health relationships using natural cubic splines. Distributed lag non-linear models (DLNM) evaluated exposure–lag–response patterns over 21 days.
Results: The temperature–OHCA relationship showed a U-shape with minimum risk at 19.0 °C. Sustained cold spells (≥2 days, daily minimum ≤-9.2 °C; 2nd percentile) showed the greatest risk increase (IRR 1.189; 95% CI: 1.089–1.299; p<0.001). Sustained heatwaves (≥3 days, daily average ≥27.1 °C; 95th percentile) also increased risk (IRR 1.110; 95% CI: 1.032–1.195; p=0.005). Single severe cold days (minimum <-10 °C) were associated with IRR 1.143 (95% CI: 1.012–1.291; p=0.031). DLNM demonstrated distinct temporal patterns: heat effects were acute and transient (peak days 2–4, resolved by day 7), whereas cold effects were delayed and persistent (emerging at day 3, sustained beyond 14 days).
Conclusion: Prolonged extreme temperatures represent independent cardiovascular hazards. Acute heat effects and delayed, sustained cold impacts underscore the need for targeted public health interventions, emergency service preparedness, and timely clinical advisories.
Funding: This work was supported by the Predoctoral Scholarship (Predoktori_2026-32; 16005/DIDIT/2026) and by Project no. TKP2021-EGA-02, implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund under the TKP2021-EGA funding scheme.

University

Semmelweis University

Supervisor

Professor Endre Zima MD

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

phd.section.field

in doctoral studies after complex exam (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6861

Start

15:30

End

15:40