Evidence map›Paper›PMID 41644756›Full record

ArticleJournal of cardiovascular translational research2026

Translational Methods for Wearable Heart Rate Variability Monitoring in Older Adults: Preoperative Risk Stratification and Postoperative Monitoring.

Nathaniel Brooke, Kenneth C Roberts, Sloan A Soyster Heinz, Emmalee Metzler, Sarah Peskoe, Heather E Whitson, J P Ginsberg, Leah C Acker

Abstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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.

Nathaniel BrookeDepartment of Anesthesiology, Duke University School of Medicine, LSRC Office B255, 308 Research Drive, Durham, NC, 27710, USA.
Kenneth C RobertsCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Sloan A Soyster HeinzDepartment of Anesthesiology, Duke University School of Medicine, LSRC Office B255, 308 Research Drive, Durham, NC, 27710, USA.
Emmalee MetzlerDepartment of Anesthesiology, Duke University School of Medicine, LSRC Office B255, 308 Research Drive, Durham, NC, 27710, USA.
Sarah PeskoeDuke Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, NC, USA.
Heather E WhitsonDuke Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, NC, USA.
J P GinsbergSaybrook University, Pasadena, CA, USA.
Leah C AckerDepartment of Anesthesiology, Duke University School of Medicine, LSRC Office B255, 308 Research Drive, Durham, NC, 27710, USA. Leah.acker@duke.edu.ORCID 0000-0002-5534-6020

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC, Susan Nicole Hastings · 2006 to 2026
$24.6M
INTEGRATED TRAINING IN ANESTHESIOLOGY RESEARCHT32GM008600 · NIGMS · DUKE UNIVERSITY · PI Miriam Treggiari · 1996 to 2026
$6.6M
Attentional Resilience in Older AdultsR01AG088329 · NIA · DUKE UNIVERSITY · PI Leah Acker · 2024 to 2026
$2.3M
The Role of the Aging Brain-Heart-Immune Axis in Postoperative DeliriumR03AG078891 · NIA · DUKE UNIVERSITY · PI ACKER, LEAH · 2022 to 2023
$322k
Duke University Department of Anesthesiology Departmental FundingDuke University Department of Anesthesiology DREAM Innovation GrantFoundation for Anesthesiology Education and Research GEMSSTAR SupplementNIA NIH HHS P30 AG028716NIA NIH HHS R01 AG088329NIA NIH HHS R03 AG078891NIGMS NIH HHS T32 GM008600NIH (US) NIA P30AG028716NIH (US) R01AG088329NIH (US) R03AG078891NIH (US) T32GM008600School of Medicine, Duke University Strong Start AwardSociety for Neuroscience in Anesthesiology and Critical Care William Young Award
6 · The paper itself

Abstract

Low preoperative heart rate variability (HRV) is associated with adverse cardiovascular outcomes and delirium after geriatric surgery, but in-person testing is burdensome and impractical. To evaluate wrist-based wearables for remotely capturing preoperative outpatient and postoperative inpatient data for HRV analysis. RR-intervals were extracted, and data missingness was assessed for systematic differences. Delirium incidence was evaluated. Preoperatively, 76.9% of participants provided high-quality outpatient data, with no systematic demographic or clinical differences. Postoperatively, 80.2% had high-quality inpatient data; however, missing data were associated with older age, lower BMI, ICU admission, and longer surgeries and hospitalizations. Postoperative HRV did not significantly differ between participants with and without delirium. Outpatient HRV capture via wrist-based wearables is broadly feasible in older surgical patients, while postoperative inpatient data are disproportionately missing in higher-risk patients. These differences highlight both the translational potential and limitations of wearable HRV measurements for perioperative outcome prediction.

Indexed as

Autonomic Nervous SystemHeart RatePhotoplethysmographySurgical Procedures, OperativeWearable Electronic DevicesAgedAged, 80 and overAge FactorsDeliriumDigital HealthEquipment DesignFeasibility StudiesFemaleHumansMalePredictive Value of TestsAgingAutonomic nervous systemBrain–heart-immune axisDeliriumGeriatric surgeryHeart rate variabilityPerioperative medicinePhotoplethysmographyRemote monitoringWearables

Identifiers

PMID41644756
PMCPMC12885228

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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.