Evidence map›Paper›PMID 32647214›Full record

Observational studyScientific reports2020

Wireless monitoring and real-time adaptive predictive indicator of deterioration.

Heather P Duncan, Balazs Fule, Iain Rice, Alice J Sitch, David Lowe

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  14. Continuous Vital Signs Monitoring in Patients Hospitalized at Home: Burden or Benefit?Journal of the American Medical Directors Association · 2023
    Article
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  16. Review
  17. Article
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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

5 authors.

Heather P DuncanBirmingham Children's Hospital, Steelhouse Lane, B4 6NH, UK. Heather.duncan5@nhs.net.
Balazs FuleBirmingham Children's Hospital, Steelhouse Lane, B4 6NH, UK.
Iain RiceAston University, Birmingham, UK.
Alice J SitchInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
David LoweAston University, Birmingham, UK.

Funding

Department of Health 17371Wellcome TrustWellcome Trust HICF-R8-434
6 · The paper itself

Abstract

To assist in the early warning of deterioration in hospitalised children we studied the feasibility of collecting continuous wireless physiological data using Lifetouch (ECG-derived heart and respiratory rate) and WristOx2 (pulse-oximetry and derived pulse rate) sensors. We compared our bedside paediatric early warning (PEW) score and a machine learning automated approach: a Real-time Adaptive Predictive Indicator of Deterioration (RAPID) to identify children experiencing significant clinical deterioration. 982 patients contributed 7,073,486 min during 1,263 monitoring sessions. The proportion of intended monitoring time was 93% for Lifetouch and 55% for WristOx2. Valid clinical data was 63% of intended monitoring time for Lifetouch and 50% WristOx2. 29 patients experienced 36 clinically significant deteriorations. The RAPID Index detected significant deterioration more frequently (77% to 97%) and earlier than the PEW score ≥ 9/26. High sensitivity and negative predictive value for the RAPID Index was associated with low specificity and low positive predictive value. We conclude that it is feasible to collect clinically valid physiological data wirelessly for 50% of intended monitoring time. The RAPID Index identified more deterioration, before the PEW score, but has a low specificity. By using the RAPID Index with a PEW system some life-threatening events may be averted.

Indexed as

Clinical DeteriorationWireless TechnologyChildChild, PreschoolElectrocardiographyFeasibility StudiesFemaleHeart RateHumansInfantInfant, NewbornIntensive Care Units, PediatricLongitudinal StudiesMaleMonitoring, PhysiologicOximetry

Identifiers

PMID32647214
PMCPMC7347866

What OpenQuestion holds

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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.