Evidence map›Paper›PMID 33575922›Full record

ArticleJournal of clinical monitoring and computing2022

Adaptive threshold-based alarm strategies for continuous vital signs monitoring.

Mathilde C van Rossum, Lyan B Vlaskamp, Linda M Posthuma, Maarten J Visscher, Martine J M Breteler, Hermie J Hermens, Cor J Kalkman, Benedikt Preckel

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 77 citations in OpenAlex.

  1. Alert burden when monitoring patients' vital signs continuously at home.Journal of clinical monitoring and computing · 2026
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  15. Employing Eye Trackers to Reduce Nuisance Alarms.Sensors (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Mathilde C van Rossum *Biomedical Signals and Systems, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands. m.c.vanrossum@utwente.nl.ORCID 0000-0002-1144-3793
Lyan B Vlaskamp *Department of Anesthesiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG, Utrecht, the Netherlands.
Linda M PosthumaDepartment of Anesthesiology, Amsterdam University Medical Center, Location AMC, H1-148, P.O. Box 22660, 1100 DD, Amsterdam, The Netherlands.
Maarten J VisscherDepartment of Anesthesiology, Amsterdam University Medical Center, Location AMC, H1-148, P.O. Box 22660, 1100 DD, Amsterdam, The Netherlands.
Martine J M BretelerDepartment of Anesthesiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG, Utrecht, the Netherlands.
Hermie J HermensBiomedical Signals and Systems, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
Cor J KalkmanDepartment of Anesthesiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CG, Utrecht, the Netherlands.
Benedikt PreckelDepartment of Anesthesiology, Amsterdam University Medical Center, Location AMC, H1-148, P.O. Box 22660, 1100 DD, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLHeidelberg University · DEUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous vital signs monitoring in post-surgical ward patients may support early detection of clinical deterioration, but novel alarm approaches are required to ensure timely notification of abnormalities and prevent alarm-fatigue. The current study explored the performance of classical and various adaptive threshold-based alarm strategies to warn for vital sign abnormalities observed during development of an adverse event. A classical threshold-based alarm strategy used for continuous vital signs monitoring in surgical ward patients was evaluated retrospectively. Next, (combinations of) six methods to adapt alarm thresholds to personal or situational factors were simulated in the same dataset. Alarm performance was assessed using the overall alarm rate and sensitivity to detect adverse events. Using a wireless patch-based monitoring system, 3999 h of vital signs data was obtained in 39 patients. The clinically used classical alarm system produced 0.49 alarms/patient/day, and alarms were generated for 11 out of 18 observed adverse events. Each of the tested adaptive strategies either increased sensitivity to detect adverse events or reduced overall alarm rate. Combining specific strategies improved overall performance most and resulted in earlier presentation of alarms in case of adverse events. Strategies that adapt vital sign alarm thresholds to personal or situational factors may improve early detection of adverse events or reduce alarm rates as compared to classical alarm strategies. Accordingly, further investigation of the potential of adaptive alarms for continuous vital signs monitoring in ward patients is warranted.

Indexed as

Clinical AlarmsArrhythmias, CardiacHumansMonitoring, PhysiologicRetrospective StudiesVital SignsClinical alarmsClinical deteriorationPhysiological monitoringTelemonitoringVital signs

Identifiers

PMID33575922
PMCPMC9123069
OpenAlexW3128961546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.