Evidence map›Paper›PMID 34734834›Full record

ArticleJMIR cardio2021

Validation of Heart Rate Extracted From Wrist-Based Photoplethysmography in the Perioperative Setting: Prospective Observational Study.

Eveline Mestrom, Ruben Deneer, Alberto G Bonomi, Jenny Margarito, Jos Gelissen, Reinder Haakma, Hendrikus H M Korsten, Volkher Scharnhorst, R Arthur Bouwman

Open access · goldAbstract read
In one paragraph

Article in JMIR cardio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Review
  7. Article
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

9 authors at 2 institutions in 1 country.

Eveline MestromDepartment of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-5582-5873
Ruben DeneerClinical Laboratory, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-6011-7783
Alberto G BonomiDepartment of Personal Health, Philips Research, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-6731-005X
Jenny MargaritoDepartment of Personal Health, Philips Research, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0003-1418-1036
Jos GelissenDepartment of Personal Health, Philips Research, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0003-2618-8059
Reinder HaakmaDepartment of Personal Health, Philips Research, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-7245-7072
Hendrikus H M KorstenDepartment of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0003-3147-3794
Volkher ScharnhorstClinical Laboratory, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-1243-9251
R Arthur BouwmanDepartment of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-2051-5947
Radboud University Nijmegen · NLPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement of heart rate (HR) through an unobtrusive, wrist-worn optical HR monitor (OHRM) could enable earlier recognition of patient deterioration in low acuity settings and enable timely intervention.

objectiveThe goal of this study was to assess the agreement between the HR extracted from the OHRM and the gold standard 5-lead electrocardiogram (ECG) connected to a patient monitor during surgery and in the recovery period.

methodsIn patients undergoing surgery requiring anesthesia, the HR reported by the patient monitor's ECG module was recorded and stored simultaneously with the photopletysmography (PPG) from the OHRM attached to the patient's wrist. The agreement between the HR reported by the patient's monitor and the HR extracted from the OHRM's PPG signal was assessed using Bland-Altman analysis during the surgical and recovery phase.

resultsA total of 271.8 hours of data in 99 patients was recorded simultaneously by the OHRM and patient monitor. The median coverage was 86% (IQR 65%-95%) and did not differ significantly between surgery and recovery (Wilcoxon paired difference test P=.17). Agreement analysis showed the limits of agreement (LoA) of the difference between the OHRM and the ECG HR were within the range of 5 beats per minute (bpm). The mean bias was -0.14 bpm (LoA between -3.08 bpm and 2.79 bpm) and -0.19% (LoA between -5 bpm to 5 bpm) for the PPG- measured HR compared to the ECG-measured HR during surgery; during recovery, it was -0.11 bpm (LoA between -2.79 bpm and 2.59 bpm) and -0.15% (LoA between -3.92% and 3.64%).

conclusionsThis study shows that an OHRM equipped with a PPG sensor can measure HR within the ECG reference standard of -5 bpm to 5 bpm or -10% to 10% in the perioperative setting when the PPG signal is of sufficient quality. This implies that an OHRM can be considered clinically acceptable for HR monitoring in low acuity hospitalized patients.

Indexed as

heart rateperioperative patientsphotoplethysmographyunobtrusive sensingvalidation

Identifiers

PMID34734834
PMCPMC8603171
OpenAlexW3186211236

What OpenQuestion holds

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Registered trials

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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.