Sleep Disturbance and Daytime Fatigue as Predictors of Cognitive Decline and Functional Decline in Chronic Rhinosinusitis (SNOOZE-CRS)

November 18, 2025 updated by: Amany Gomaa Atiaa, Sinai University
FOCUS-CRS is a cross-sectional observational study examining the relationship between sleep disturbance, daytime fatigue, and cognitive and functional health in patients with chronic rhinosinusitis (CRS). The study aims to determine whether self-reported sleep and fatigue scores predict impairments in physical and cognitive quality of life domains. A total of 134 adult CRS patients completed structured questionnaires assessing symptom burden and quality of life. Correlational and multivariate regression analyses were conducted to evaluate the predictive role of sleep disturbance and fatigue on functional and cognitive outcomes. This study seeks to improve understanding of underrecognized systemic effects of CRS, with implications for multidisciplinary patient care.

Study Overview

Detailed Description

Background:

Chronic rhinosinusitis (CRS) is a prevalent inflammatory condition associated with significant impairment in quality of life. While sinonasal symptoms are well-documented, systemic manifestations such as sleep disturbance, fatigue, and cognitive decline are underexplored. Emerging evidence suggests that sleep and energy dysregulation may independently contribute to cognitive dysfunction and physical debilitation in chronic inflammatory diseases. However, limited research has quantified these associations specifically in CRS.

Objective:

The FOCUS-CRS study (Fatigue and cOgnitive Comorbidities of chrOnic rSinosUS) investigates whether sleep disturbance and daytime fatigue are significant predictors of cognitive and functional decline in adults with CRS. The study also explores the role of demographic and clinical factors such as age, gender, duration of symptoms, and comorbid conditions in moderating these relationships.

Methods:

This is a single-center, cross-sectional observational study involving 134 CRS patients recruited from outpatient clinics. Participants completed validated questionnaires measuring sleep disturbance, daytime fatigue, and domain-specific quality of life (QoL), including physical functioning (QoL-physical) and cognitive/mental health (QoL-mental). Spearman correlations and multivariate linear regression were performed to assess the predictive effects of sleep and fatigue scores on QoL outcomes, controlling for potential confounders.

Expected Impact:

The findings from this study will enhance clinical awareness of sleep and fatigue-related comorbidities in CRS and support the development of integrative care models. Early identification and management of sleep and fatigue symptoms may contribute to improved cognitive and functional outcomes in CRS patients.

Study Type

Observational

Enrollment (Actual)

134

Contacts and Locations

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

Study Locations

      • Cairo, Egypt, 44511
        • Sinai university

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

No

Sampling Method

Non-Probability Sample

Study Population

This study enrolled adult patients diagnosed with chronic rhinosinusitis (CRS), attending otolaryngology outpatient clinics at [insert institution name] during the study period. All participants met clinical diagnostic criteria for CRS as defined by current otolaryngologic guidelines (e.g., symptom duration ≥12 weeks, with or without radiologic confirmation). Eligible individuals were aged 18 years or older, capable of providing informed consent, and willing to complete standardized self-reported questionnaires related to sleep, fatigue, and quality of life. Patients with prior sinus surgery, neurological or psychiatric illness, or those on medications affecting sleep or cognition were excluded.

Description

Inclusion Criteria:

  • Adults (≥18 years) diagnosed with CRS based on clinical guidelines
  • Symptom duration ≥12 weeks
  • Ability to provide informed consent

Exclusion Criteria:

  • Prior sinus surgery
  • Neurological or psychiatric disorders
  • Use of sedatives or sleep-modulating medications

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
CRS Patients Group
All participants were adults diagnosed with chronic rhinosinusitis (CRS). This group underwent standardized, non-interventional assessments to evaluate the association between sleep disturbance, daytime fatigue, and quality of life outcomes. No experimental treatment or diagnostic procedures were administered as part of the study.

Participants completed a set of validated self-report instruments to assess:

Sleep disturbance (Likert-type scale)

Daytime fatigue (Likert-type scale)

Quality of life - physical and mental domains

No clinical intervention was introduced. Data were analyzed using correlation and regression models to determine predictive associations.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Quality of life scale
Time Frame: Day 1 (Single assessment at time of survey completion)

The SF-36 Health Survey is a well-established instrument for measuring general health and quality of life. It evaluates eight domains of health, including both physical and mental aspects. Two summary scores are derived from these domains: the Physical Component Summary (PCS) and the Mental Component Summary (MCS).

Physical Component Summary (PCS): Reflects physical health and functioning, including physical limitations and pain.

Mental Component Summary (MCS): Reflects emotional well-being, social functioning, and mental health status.

Day 1 (Single assessment at time of survey completion)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
SNOT-22 Scale
Time Frame: Day 1 (Single assessment at time of survey completion)
The SNOT-22 is a widely used instrument to evaluate the impact of sinonasal conditions (e.g., chronic rhinosinusitis) on quality of life. It consists of 22 questions that assess symptoms and how these symptoms interfere with daily activities. The questions cover aspects such as nasal symptoms, sleep disturbance, and the impact on social functioning.
Day 1 (Single assessment at time of survey completion)

Collaborators and Investigators

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

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)

September 15, 2024

Primary Completion (Actual)

September 25, 2025

Study Completion (Actual)

September 25, 2025

Study Registration Dates

First Submitted

September 26, 2025

First Submitted That Met QC Criteria

November 18, 2025

First Posted (Actual)

November 21, 2025

Study Record Updates

Last Update Posted (Actual)

November 21, 2025

Last Update Submitted That Met QC Criteria

November 18, 2025

Last Verified

November 1, 2025

More Information

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.

Clinical Trials on Fatigue

Clinical Trials on Self-Reported Questionnaires for Sleep, Fatigue, and Quality of Life

Subscribe