Evidence map›Paper›PMID 40632861›Full record

ArticleScience advances2025

Biorhythms derived from consumer wearables predict postoperative complications in children.

Rui Hua, Michela Carter, Megan K O'Brien, J Benjamin Pitt, Soyang Kwon, Renee C B Manworren, Gia Oscherwitz, Arianna Edobor, Austin Chen, Hassan M K Ghomrawi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

12 authors.

Rui HuaShirley Ryan AbilityLab, Chicago, IL 60611, USA.ORCID 0000-0003-3956-5415
Michela CarterDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0003-3704-1351
Megan K O'BrienShirley Ryan AbilityLab, Chicago, IL 60611, USA.ORCID 0000-0001-8069-365X
J Benjamin PittDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-7901-5402
Soyang KwonDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-9359-704X
Renee C B ManworrenDepartment of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0003-3626-0990
Gia OscherwitzDepartment of Biomedical Engineering and Department of Otolaryngology, University of Virginia, Charlottesville, VA 22904, USA.
Arianna EdoborDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-9040-7052
Austin ChenDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Hassan M K GhomrawiDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Fizan AbdullahDivision of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Arun JayaramanShirley Ryan AbilityLab, Chicago, IL 60611, USA.ORCID 0000-0002-9302-6693

Funding

Using the Fitbit for early detection of Infection and reduction of healthcare utilization after Discharge in Pediatric Surgical PatientsR01NR020918 · NINR · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI ABDULLAH, FIZAN, GHOMRAWI, HASSAN · 2023 to 2025
$2.4M
NINR NIH HHS R01 NR020918
6 · The paper itself

Abstract

Postoperative complications pose substantial health risks to children who undergo surgery, yet timely detection of complications after discharge is challenging due to reliance on subjective symptom reports from children and caregivers. Alternatively, wearable devices can provide objective health measurements for continuous recovery monitoring, potentially enabling earlier complication detection in the hospital or community. This study examined biorhythm-based metrics (circadian and ultradian rhythms, derived from the daily activity and heart rate patterns recorded by a consumer wearable) and their relationship to postoperative recovery in children with and without complications. Wearables were given to 103 children for 21 days immediately after appendectomy, and biorhythm metrics were extracted from per-minute data. A machine-learned model using these metrics retrospectively predicted postoperative complications up to 3 days before formal diagnosis with 91% sensitivity and 74% specificity. Our findings suggest that wearable-derived biorhythms offer a promising, unobtrusive method for evaluating postoperative recovery. This approach has broad clinical implications for pediatric health monitoring across various care settings.

Indexed as

Postoperative ComplicationsWearable Electronic DevicesAdolescentAppendectomyChildChild, PreschoolFemaleHeart RateHumansMaleMonitoring, PhysiologicRetrospective Studies

Identifiers

PMID40632861
PMCPMC12239953

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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.