Immune Status After Being on Call for 24 Hrs

December 2, 2025 updated by: University of Chicago

Impact of a 24-hour Shift Call on the Immune Status of Surgery Residents

Sleep deprivation is a prevalent problem in modern societies. Sleep deprivation can cause hormonal changes, such as an increase in cortisol, as well as inflammation. Animal studies have shown an increase in inflammatory cytokine production following sleep deprivation. Additionally, humans experiencing sleep deprivation may experience a decrease in natural killer cells and lymphocytes.

Physicians, particularly those in surgical specialties, are often subjected to sleep deprivation as part of their medical residency training. This study hypothesizes that after 24-hour shifts, there is an increase in inflammatory response and impairment of the immune response against unspecific activation. This proposal aims to provide insight into the impact of sleep deprivation on the immune system of surgery residents by characterizing the phenotype and function of immune cells, as well as their correlation with biometric data.

Study Overview

Study Type

Observational

Enrollment (Estimated)

60

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

General Surgery residents, on during 24-hour shifts

Description

Inclusion Criteria:

  • Healthy subjects
  • Surgery residents in a 24-hour shift rotation
  • Gender of subjects: Males and females
  • Age of subjects: 18 years old and older
  • Racial and Ethnic Origin: Any race or ethnicity

Exclusion Criteria:

  • Unwilling/unable to sign informed consent
  • Vulnerable Subjects/Subject Capacity to provide consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
General Surgery Residents
General Surgery residents on during 24-hour rotation shifts
To characterize the phenotype and function of immune cells in surgery residents before and after a 24-hour shift, and before and after a month of being "on call". Along with to investigate the relationship between sleep deprivation, physical activity, and different immune responses.
Participants will be asked to wear their monitor every day for a week. The monitor will collect their step count, sleep and heart rate automatically. Participants will return their monitor at visit 5 (day 30) of the study.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Characterization of the phenotype and function of immune cells using flow cytometry
Time Frame: 24 hours
Specifically, T cells, B cells, dendritic cells, macrophages, and natural killer cells will be identified and analyzed. Memory cells, co-inhibitor markers, and regulatory markers will also be evaluated. The function will be analyzed based on the intracellular expression of effector molecules and cytokines after unspecific activation with CD3-CD28 beads.
24 hours

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Analyze the biometric data and correlate it with changes in sleep deprivation
Time Frame: One week before rotation and the last week of rotation
To examine the associations, participants will be using an activity and sleep monitor.
One week before rotation and the last week of rotation
Analyze the biometric data and correlate it with changes in the immune response
Time Frame: One week before rotation and the last week of rotation
To examine the associations, participants will be using an activity and sleep monitor.
One week before rotation and the last week of rotation
Analyze the biometric data and correlate it with changes in physical activity
Time Frame: One week before rotation and the last week of rotation
To examine the associations, participants will be using an activity and sleep monitor.
One week before rotation and the last week of rotation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Angelica Perez-Gutierrez, MD, University of Chicago

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 17, 2024

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2027

Study Registration Dates

First Submitted

September 27, 2024

First Submitted That Met QC Criteria

October 9, 2024

First Posted (Actual)

October 10, 2024

Study Record Updates

Last Update Posted (Estimated)

December 9, 2025

Last Update Submitted That Met QC Criteria

December 2, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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