Literature DB >> 9142025

Poor prognosis for existing monitors in the intensive care unit.

C L Tsien1, J C Fackler.   

Abstract

OBJECTIVE: To identify areas requiring the most urgent improvement in the intensive care unit (ICU); and to accurately determine the positive predictive value of routine critical care patient monitoring alarms, as well as the common causes for false-positive alarms.
DESIGN: Prospective, observational study.
SETTING: A multidisciplinary ICU in a university-affiliated children's hospital (excluding children with primary heart disease).
INTERVENTIONS: The occurrence rate, cause, and appropriateness of all alarms from tracked monitors were recorded by a trained observer and validated by the bedside nurse over a 10-wk period for a single bedspace at a time.
MEASUREMENTS AND MAIN RESULTS: After 298 monitored hrs, 86% of a total 2,942 alarms were found to be false-positive alarms, while an additional 6% were classified as clinically irrelevant true alarms. Only 8% of all alarms tracked during the study period were determined to be true alarms with clinical significance. Alarms were also classified according to whether they were clearly associated with a "patient intervention" (18%), were clearly not associated with a patient intervention (74%), or had unclear association to interventions (8%). While 11% of "nonpatient intervention" alarms were clinically significant true alarms, only 2% of "patient intervention" alarms were so. Positive predictive values for the various devices ranged from < 1% for the pulse oximeter's heart rate signal to 74% for the arterial catheter's mean systemic blood pressure signal during periods free from patient interventions. The pulse oximeter caused false-positive alarms most frequently, with common reasons being bad data format/bad connection and poor contact.
CONCLUSION: Efforts to develop intelligent monitoring systems have more potential to deliver significantly improved patient care by initially targeting especially weak areas in ICU monitoring, such as pulse oximetry reliability.

Entities:  

Mesh:

Year:  1997        PMID: 9142025     DOI: 10.1097/00003246-199704000-00010

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  63 in total

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Authors:  R Schoenberg; D Z Sands; C Safran
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2.  Artifact detection in cardiovascular time series monitoring data from preterm infants.

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3.  Building ICU artifact detection models with more data in less time.

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4.  Bioinformatics and clinical informatics: the imperative to collaborate.

Authors:  I S Kohane
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5.  Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital.

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6.  Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure.

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Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

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Review 8.  Connecting the dots: rule-based decision support systems in the modern EMR era.

Authors:  Vitaly Herasevich; Daryl J Kor; Arun Subramanian; Brian W Pickering
Journal:  J Clin Monit Comput       Date:  2013-02-28       Impact factor: 2.502

9.  Artifact detection in the PO2 and PCO2 time series monitoring data from preterm infants.

Authors:  C Cao; N McIntosh; I S Kohane; K Wang
Journal:  J Clin Monit Comput       Date:  1999-08       Impact factor: 2.502

10.  An expert system for monitor alarm integration.

Authors:  C Oberli; J Urzua; C Saez; M Guarini; A Ciprianio; B Garayar; G Lema; R Canessa; C Sacco; M Irarrazaval
Journal:  J Clin Monit Comput       Date:  1999-01       Impact factor: 2.502

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