Cargando…

HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)

Objective. To examine whether heart rate interval based rapid alert (HIRA) score derived from a combination model of heart rate variability (HRV) and modified early warning score (MEWS) is a surrogate for the detection of acute respiratory failure (ARF) in critically ill sepsis patients. Approach. R...

Descripción completa

Detalles Bibliográficos
Autores principales: Krishnan, Preethi, Rad, Milad G, Agarwal, Palak, Marshall, Curtis, Yang, Philip, Bhavani, Sivasubramanium V, Holder, Andre L, Esper, Annette, Kamaleswaran, Rishikesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571460/
https://www.ncbi.nlm.nih.gov/pubmed/37652033
http://dx.doi.org/10.1088/1361-6579/acf5c7
_version_ 1785120006774718464
author Krishnan, Preethi
Rad, Milad G
Agarwal, Palak
Marshall, Curtis
Yang, Philip
Bhavani, Sivasubramanium V
Holder, Andre L
Esper, Annette
Kamaleswaran, Rishikesan
author_facet Krishnan, Preethi
Rad, Milad G
Agarwal, Palak
Marshall, Curtis
Yang, Philip
Bhavani, Sivasubramanium V
Holder, Andre L
Esper, Annette
Kamaleswaran, Rishikesan
author_sort Krishnan, Preethi
collection PubMed
description Objective. To examine whether heart rate interval based rapid alert (HIRA) score derived from a combination model of heart rate variability (HRV) and modified early warning score (MEWS) is a surrogate for the detection of acute respiratory failure (ARF) in critically ill sepsis patients. Approach. Retrospective HRV analysis of sepsis patients admitted to Emory healthcare intensive care unit (ICU) was performed between sepsis-related ARF and sepsis controls without ARF. HRV measures such as time domain, frequency domain, and nonlinear measures were analyzed up to 24 h after patient admission, 1 h before the onset of ARF, and a random event time in the sepsis controls. Statistical significance was computed by the Wilcoxon Rank Sum test. Machine learning algorithms such as eXtreme Gradient Boosting and logistic regression were developed to validate the HIRA score model. The performance of HIRA and early warning score models were evaluated using the area under the receiver operating characteristic (AUROC). Main Results. A total of 89 (ICU) patients with sepsis were included in this retrospective cohort study, of whom 31 (34%) developed sepsis-related ARF and 58 (65%) were sepsis controls without ARF. Time-domain HRV for Electrocardiogram (ECG) Beat-to-Beat RR intervals strongly distinguished ARF patients from controls. HRV measures for nonlinear and frequency domains were significantly altered (p < 0.05) among ARF compared to controls. The HIRA score AUC: 0.93; 95% confidence interval (CI): 0.88–0.98) showed a higher predictive ability to detect ARF when compared to MEWS (AUC: 0.71; 95% CI: 0.50–0.90). Significance. HRV was significantly impaired across patients who developed ARF when compared to controls. The HIRA score uses non-invasively derived HRV and may be used to inform diagnostic and therapeutic decisions regarding the severity of sepsis and earlier identification of the need for mechanical ventilation.
format Online
Article
Text
id pubmed-10571460
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher IOP Publishing
record_format MEDLINE/PubMed
spelling pubmed-105714602023-10-14 HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF) Krishnan, Preethi Rad, Milad G Agarwal, Palak Marshall, Curtis Yang, Philip Bhavani, Sivasubramanium V Holder, Andre L Esper, Annette Kamaleswaran, Rishikesan Physiol Meas Paper Objective. To examine whether heart rate interval based rapid alert (HIRA) score derived from a combination model of heart rate variability (HRV) and modified early warning score (MEWS) is a surrogate for the detection of acute respiratory failure (ARF) in critically ill sepsis patients. Approach. Retrospective HRV analysis of sepsis patients admitted to Emory healthcare intensive care unit (ICU) was performed between sepsis-related ARF and sepsis controls without ARF. HRV measures such as time domain, frequency domain, and nonlinear measures were analyzed up to 24 h after patient admission, 1 h before the onset of ARF, and a random event time in the sepsis controls. Statistical significance was computed by the Wilcoxon Rank Sum test. Machine learning algorithms such as eXtreme Gradient Boosting and logistic regression were developed to validate the HIRA score model. The performance of HIRA and early warning score models were evaluated using the area under the receiver operating characteristic (AUROC). Main Results. A total of 89 (ICU) patients with sepsis were included in this retrospective cohort study, of whom 31 (34%) developed sepsis-related ARF and 58 (65%) were sepsis controls without ARF. Time-domain HRV for Electrocardiogram (ECG) Beat-to-Beat RR intervals strongly distinguished ARF patients from controls. HRV measures for nonlinear and frequency domains were significantly altered (p < 0.05) among ARF compared to controls. The HIRA score AUC: 0.93; 95% confidence interval (CI): 0.88–0.98) showed a higher predictive ability to detect ARF when compared to MEWS (AUC: 0.71; 95% CI: 0.50–0.90). Significance. HRV was significantly impaired across patients who developed ARF when compared to controls. The HIRA score uses non-invasively derived HRV and may be used to inform diagnostic and therapeutic decisions regarding the severity of sepsis and earlier identification of the need for mechanical ventilation. IOP Publishing 2023-10-01 2023-10-13 /pmc/articles/PMC10571460/ /pubmed/37652033 http://dx.doi.org/10.1088/1361-6579/acf5c7 Text en © 2023 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd https://creativecommons.org/licenses/by/4.0/Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
spellingShingle Paper
Krishnan, Preethi
Rad, Milad G
Agarwal, Palak
Marshall, Curtis
Yang, Philip
Bhavani, Sivasubramanium V
Holder, Andre L
Esper, Annette
Kamaleswaran, Rishikesan
HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title_full HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title_fullStr HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title_full_unstemmed HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title_short HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
title_sort hira: heart rate interval based rapid alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (arf)
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571460/
https://www.ncbi.nlm.nih.gov/pubmed/37652033
http://dx.doi.org/10.1088/1361-6579/acf5c7
work_keys_str_mv AT krishnanpreethi hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT radmiladg hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT agarwalpalak hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT marshallcurtis hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT yangphilip hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT bhavanisivasubramaniumv hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT holderandrel hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT esperannette hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf
AT kamaleswaranrishikesan hiraheartrateintervalbasedrapidalertscoretocharacterizeautonomicdysfunctionamongpatientswithsepsisrelatedacuterespiratoryfailurearf