PhD Scientific Days 2026

Poster Session 1.I - Theoretical and Translational Medicine

Device-Based and Manual Respiratory Rate Measurement in Emergency Care

Előadó neve

Dr. Gabriella Anna, Rapszky

Neptune code

pp4y65

Előadó munkahelye

Department of Emergency Medicine, Semmelweis University

Előadó telefonszáma

+36305742899, +36302385956

Előadó e-mail címe

rapszky.gabriella.anna@semmelweis.hu

Az előadás címe

Device-Based and Manual Respiratory Rate Measurement in Emergency Care

Szerző(k) neve és munkahelye

Gabriella Anna Rapszky MD¹, Balázs Fazekas MD¹, Bánk Gábor Fenyves MD, PhD¹, Erika Draskóczi¹, Réka Szabó-Hajdufi MD¹, Kiss Márton MD²

1: Department of Emergency Medicine, Semmelweis University
2: Centre for Translational Medicine, Semmelweis University

Bemutatás módja

Poszter

Szekció

Poster Session 1.I - Theoretical and Translational Medicine

Language of the presentation

Hungarian

Preferred session

Theoretical and Translational Medicine

Összefoglaló szövege

Introduction
Respiratory rate (RR) is often the first sign of patient deterioration and is claimed to be a good predictor of cardiac arrest and mortality. While RR is important, it is frequently measured inaccurately by manual counting (MC) or estimation, leading to potential misclassification of disease severity. Manual methods are prone to errors, with documented discrepancies between measured and recorded values. Automatic devices, such as the Welch Allyn® Connex® Spot Monitor with a Masimo SpO₂ pulse oximeter, may improve RR measurement accuracy, though their performance has not yet been evaluated in a clinical setting.
Aim
To assess the accuracy of the Welch Allyn® Connex® Spot Monitor in measuring RR compared to MC in an emergency department setting, and to evaluate whether it is a reliable alternative to manual spot measurements.
Method
In this prospective, single-center, non-interventional study including patients ≥18 years, trained observers performed MC alongside triage nurses. The Masimo SpO₂ pulse oximeter measured RR simultaneously with MC. MC, the first device value, and the 60-second value were collected. Pearson correlation with 95% confidence intervals was used. Agreement between device and MC was evaluated using the Intraclass Correlation Coefficient (ICC) and Bland–Altman analysis. Protocol was registered on ClinicalTrials.gov, ID: NCT07299968.
Results
Overall, 169 patients were included. The mean RR measured by MC was 17.96 ± 5.63 breaths/min. A total of 148 and 147 paired measurements were available for the first and 60-second device values vs MC. Correlation was weaker between MC and the first value (r = 0.593, p < 0.001) than between MC and the 60-second value (r = 0.725, p < 0.001). Bland–Altman analysis showed a mean difference of 0.22 breaths/min for the first value (limits: -10.01 to 10.45) and a mean difference of -0.03 breaths/min (limits: -8.35 to 8.30) for the 60-second device value. Agreement between the measurement methods was lower for the first value (ICC = 0.593) than that for the 60-second value (ICC = 0.726).
Conclusion
Automated RR measurement showed moderate to good agreement with MC, with small mean differences but wide limits of agreement.
Funding
SE250+ Excellence PhD Scholarship
EKÖP scholarship
Semmelweis University Research, Development and Innovation Fund

University

Semmelweis University

Supervisor

Dr Bánk Gábor Fenyves

Publication of my abstract

I do not 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

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

8616

Start

17:12

End

17:15