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Smart wristbands may spot infections before they turn serious

NCT ID NCT07334925

Diagnosis Sponsor: Benha University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study reviewed 1,284 patients to see if wearable wristbands that track white blood cells and C-reactive protein can detect infections after surgery. The wristbands also use artificial intelligence to spot infections early. The goal is to find out if these devices are accurate and practical for everyday hospital use.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this review could support the use of smart wristbands to catch infections earlier after surgery, potentially reducing complications.
What could go wrong
This is a review of existing studies, not a new trial. The findings depend on the quality of past research, and real-world accuracy may vary.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

1,284 people

The number who actually took part.

Started

Jul 2025

Finished

Oct 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population will consist of adult patients (≥18 years) undergoing elective or semi-elective surgical procedures in ophthalmology, orthopedics, and general surgery departments at participating tertiary hospitals. Eligible procedures include surgeries associated with moderate to high postoperative infection risk, such as cataract surgery, corneal transplantation, total joint replacement, and abdominal surgery. Participants must be clinically stable at enrollment and capable of providing informed consent. Both male and female patients will be included without restriction based on race or ethnicity. This population reflects typical postoperative clinical settings in which early infection detection using wearable technology may improve outcomes and reduce morbidity.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria Adults aged 18 years or older. Patients undergoing ophthalmologic, orthopedic, or general surgical procedures. Postoperative patients monitored using a wearable infection detection device or biosensor capable of continuous or intermittent assessment of inflammatory biomarkers, including: White blood cell (WBC) count and/or C-reactive protein (CRP) levels. Wearable devices may incorporate artificial intelligence or machine-learning algorithms for infection prediction. Patients receiving standard postoperative care, including conventional laboratory testing and/or clinical monitoring, for comparison. Ability to provide written informed consent. Exclusion Criteria Patients aged \<18 years. Non-human studies (animal or in-vitro). Use of wearable devices that monitor only physiological parameters (e.g., temperature, heart rate, oxygen saturation) without inflammatory biomarker assessment (WBC or CRP). Patients who are hemodynamically unstable at the time of enrollment. Inability or unwillingness to provide informed consent. Duplicate enrollment or participation in another interventional study that may interfere with outcomes.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Wearable devices

Contacts and locations

Locations

  • Benha University

    Banhā, Benha, 13111, Egypt

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