Mayo Registry for Telemetry Efficacy in Arrest Study

An Assessment of the Utility of Telemetry in Predicting Clinical Decompensation

David Snipelisky, Jordan Ray, Gautam Matcha, Archana Roy, Dana Harris, Veronica Bosworth, Adrian Dumitrascu, Brooke Clark, Tyler Vadeboncoeur, Fred Kusumoto, Cammi Bowman, M. Caroline Burton

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

Introduction: Our study assesses the utility of telemetry in identifying decompensation in patients with documented cardiopulmonary arrest. Methods: A retrospective review of inpatients who experienced a cardiopulmonary arrest from May 1, 2008, until June 30, 2014, was performed. Telemetry records 24 hours prior to and immediately preceding cardiopulmonary arrest were reviewed. Patient subanalyses based on clinical demographics were made as well as analyses of survival comparing patients with identifiable rhythm changes in telemetry to those without. Results: Of 242 patients included in the study, 75 (31.0%) and 110 (45.5%) experienced telemetry changes at the 24-hour and immediately preceding time periods, respectively. Of the telemetry changes, the majority were classified as nonmalignant (n = 50, 66.7% and n = 66, 55.5% at 24 hours prior and immediately preceding, respectively). There was no difference in telemetry changes between intensive care unit (ICU) and non-ICU patients and among patients stratified according to the American Heart Association telemetry indications. There was no difference in survival when comparing patients with telemetry changes immediately preceding and at 24 hours prior to an event (n = 30, 27.3% and n = 15, 20.0%) to those without telemetry changes during the same periods (n = 27, 20.5% and n = 42, 25.2%; P =.22 and.39). Conclusion: Telemetry has limited utility in predicting clinical decompensation in the inpatient setting.

Original languageEnglish (US)
Pages (from-to)166-175
Number of pages10
JournalJournal of Intensive Care Medicine
Volume33
Issue number3
DOIs
StatePublished - Mar 1 2018

Fingerprint

Telemetry
Registries
Heart Arrest
Inpatients
Survival Analysis
Intensive Care Units
Patient Care
Demography

Keywords

  • cardiopulmonary arrest
  • less is more
  • outcomes
  • telemetry efficacy

ASJC Scopus subject areas

  • Critical Care and Intensive Care Medicine

Cite this

Mayo Registry for Telemetry Efficacy in Arrest Study : An Assessment of the Utility of Telemetry in Predicting Clinical Decompensation. / Snipelisky, David; Ray, Jordan; Matcha, Gautam; Roy, Archana; Harris, Dana; Bosworth, Veronica; Dumitrascu, Adrian; Clark, Brooke; Vadeboncoeur, Tyler; Kusumoto, Fred; Bowman, Cammi; Burton, M. Caroline.

In: Journal of Intensive Care Medicine, Vol. 33, No. 3, 01.03.2018, p. 166-175.

Research output: Contribution to journalReview article

Snipelisky, D, Ray, J, Matcha, G, Roy, A, Harris, D, Bosworth, V, Dumitrascu, A, Clark, B, Vadeboncoeur, T, Kusumoto, F, Bowman, C & Burton, MC 2018, 'Mayo Registry for Telemetry Efficacy in Arrest Study: An Assessment of the Utility of Telemetry in Predicting Clinical Decompensation', Journal of Intensive Care Medicine, vol. 33, no. 3, pp. 166-175. https://doi.org/10.1177/0885066616631957
Snipelisky, David ; Ray, Jordan ; Matcha, Gautam ; Roy, Archana ; Harris, Dana ; Bosworth, Veronica ; Dumitrascu, Adrian ; Clark, Brooke ; Vadeboncoeur, Tyler ; Kusumoto, Fred ; Bowman, Cammi ; Burton, M. Caroline. / Mayo Registry for Telemetry Efficacy in Arrest Study : An Assessment of the Utility of Telemetry in Predicting Clinical Decompensation. In: Journal of Intensive Care Medicine. 2018 ; Vol. 33, No. 3. pp. 166-175.
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abstract = "Introduction: Our study assesses the utility of telemetry in identifying decompensation in patients with documented cardiopulmonary arrest. Methods: A retrospective review of inpatients who experienced a cardiopulmonary arrest from May 1, 2008, until June 30, 2014, was performed. Telemetry records 24 hours prior to and immediately preceding cardiopulmonary arrest were reviewed. Patient subanalyses based on clinical demographics were made as well as analyses of survival comparing patients with identifiable rhythm changes in telemetry to those without. Results: Of 242 patients included in the study, 75 (31.0{\%}) and 110 (45.5{\%}) experienced telemetry changes at the 24-hour and immediately preceding time periods, respectively. Of the telemetry changes, the majority were classified as nonmalignant (n = 50, 66.7{\%} and n = 66, 55.5{\%} at 24 hours prior and immediately preceding, respectively). There was no difference in telemetry changes between intensive care unit (ICU) and non-ICU patients and among patients stratified according to the American Heart Association telemetry indications. There was no difference in survival when comparing patients with telemetry changes immediately preceding and at 24 hours prior to an event (n = 30, 27.3{\%} and n = 15, 20.0{\%}) to those without telemetry changes during the same periods (n = 27, 20.5{\%} and n = 42, 25.2{\%}; P =.22 and.39). Conclusion: Telemetry has limited utility in predicting clinical decompensation in the inpatient setting.",
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AU - Roy, Archana

AU - Harris, Dana

AU - Bosworth, Veronica

AU - Dumitrascu, Adrian

AU - Clark, Brooke

AU - Vadeboncoeur, Tyler

AU - Kusumoto, Fred

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AU - Burton, M. Caroline

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N2 - Introduction: Our study assesses the utility of telemetry in identifying decompensation in patients with documented cardiopulmonary arrest. Methods: A retrospective review of inpatients who experienced a cardiopulmonary arrest from May 1, 2008, until June 30, 2014, was performed. Telemetry records 24 hours prior to and immediately preceding cardiopulmonary arrest were reviewed. Patient subanalyses based on clinical demographics were made as well as analyses of survival comparing patients with identifiable rhythm changes in telemetry to those without. Results: Of 242 patients included in the study, 75 (31.0%) and 110 (45.5%) experienced telemetry changes at the 24-hour and immediately preceding time periods, respectively. Of the telemetry changes, the majority were classified as nonmalignant (n = 50, 66.7% and n = 66, 55.5% at 24 hours prior and immediately preceding, respectively). There was no difference in telemetry changes between intensive care unit (ICU) and non-ICU patients and among patients stratified according to the American Heart Association telemetry indications. There was no difference in survival when comparing patients with telemetry changes immediately preceding and at 24 hours prior to an event (n = 30, 27.3% and n = 15, 20.0%) to those without telemetry changes during the same periods (n = 27, 20.5% and n = 42, 25.2%; P =.22 and.39). Conclusion: Telemetry has limited utility in predicting clinical decompensation in the inpatient setting.

AB - Introduction: Our study assesses the utility of telemetry in identifying decompensation in patients with documented cardiopulmonary arrest. Methods: A retrospective review of inpatients who experienced a cardiopulmonary arrest from May 1, 2008, until June 30, 2014, was performed. Telemetry records 24 hours prior to and immediately preceding cardiopulmonary arrest were reviewed. Patient subanalyses based on clinical demographics were made as well as analyses of survival comparing patients with identifiable rhythm changes in telemetry to those without. Results: Of 242 patients included in the study, 75 (31.0%) and 110 (45.5%) experienced telemetry changes at the 24-hour and immediately preceding time periods, respectively. Of the telemetry changes, the majority were classified as nonmalignant (n = 50, 66.7% and n = 66, 55.5% at 24 hours prior and immediately preceding, respectively). There was no difference in telemetry changes between intensive care unit (ICU) and non-ICU patients and among patients stratified according to the American Heart Association telemetry indications. There was no difference in survival when comparing patients with telemetry changes immediately preceding and at 24 hours prior to an event (n = 30, 27.3% and n = 15, 20.0%) to those without telemetry changes during the same periods (n = 27, 20.5% and n = 42, 25.2%; P =.22 and.39). Conclusion: Telemetry has limited utility in predicting clinical decompensation in the inpatient setting.

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