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Assessment of respiratory rate monitoring in the emergency department.
Lee, John H; Nathanson, Larry A; Burke, Ryan C; Anthony, Brian W; Shapiro, Nathan I; Dagan, Alon S.
Afiliación
  • Lee JH; Department of Emergency Medicine Beth Israel Deaconess Medical Center Boston Massachusetts USA.
  • Nathanson LA; Institute for Medical Engineering & Science Massachusetts Institute of Technology Cambridge Massachusetts USA.
  • Burke RC; Department of Emergency Medicine Beth Israel Deaconess Medical Center Boston Massachusetts USA.
  • Anthony BW; Department of Emergency Medicine Beth Israel Deaconess Medical Center Boston Massachusetts USA.
  • Shapiro NI; Institute for Medical Engineering & Science Massachusetts Institute of Technology Cambridge Massachusetts USA.
  • Dagan AS; Department of Emergency Medicine Beth Israel Deaconess Medical Center Boston Massachusetts USA.
J Am Coll Emerg Physicians Open ; 5(3): e13154, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38721036
ABSTRACT

Objectives:

This study aimed to compare the different respiratory rate (RR) monitoring methods used in the emergency department (ED) manual documentation, telemetry, and capnography.

Methods:

This is a retrospective study using recorded patient monitoring data. The study population includes patients who presented to a tertiary care ED between January 2020 and December 2022. Inclusion and exclusion criteria were patients with simultaneous recorded RR data from all three methods and less than 10 min of recording, respectively. Linear regression and Bland-Altman analysis were performed between different methods.

Results:

A total of 351 patient encounters met study criteria. Linear regression yielded an R-value of 0.06 (95% confidence interval [CI] 0.00-0.12) between manual documentation and telemetry, 0.07 (95% CI 0.01-0.13) between manual documentation and capnography, and 0.82 (95% CI 0.79-0.85) between telemetry and capnography. The Bland-Altman analysis yielded a bias of -0.8 (95% limits of agreement [LOA] -12.2 to 10.6) between manual documentation and telemetry, bias of -0.6 (95% LOA -13.5 to 12.3) between manual documentation and capnography, and bias of 0.2 (95% LOA -6.2 to 6.6) between telemetry and capnography.

Conclusion:

There is a poor correlation between manual documentation and both automated methods, while there is relatively good agreement between the automated methods. This finding highlights the need to further investigate the methodology used by the ED staff in monitoring and documenting RR and ways to improve its reliability given that many important clinical decisions are made based on these assessments.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Am Coll Emerg Physicians Open Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Am Coll Emerg Physicians Open Año: 2024 Tipo del documento: Article