The Association Between Obstructive Sleep Apnea Severity and Red Blood Cells Indices

NCT ID: NCT06265129

Last Updated: 2024-02-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-20

Study Completion Date

2023-12-20

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Obstructive sleep apnea syndrome (OSAS) is characterized by recurrent episodes of obstructive events (apnea and hypopnea) and intermittent hypoxia, which in turn contributes to the systemic inflammation that underlies this disease and its consequences (Ryan et al 2009, Gileles-Hillel et al 2014). This systemic inflammation leads to endothelial dysfunction, which contributes to the pathogenesis of cardiovascular complications in OSAS, in addition to the exposure to risk factors, such as male gender, older age, obesity, and lack of exercise (Lorenzi Filho et al 2010). Some red blood cells (RBC) and platelets indices have emerged as inflammatory biomarkers in various diseases (Tertemiz et al 2016) The severity of OSA is significantly associated with increase hematocrit, even after controlling for possible confounding variables. However, nocturnal hypoxemia in OSA does not usually lead to clinical polycythemia (Choi et al 2006). In patients referred with a clinical diagnosis of OSAS, RDW may be a marker for the severity of the condition. As RDW is usually included in a complete blood count, it could provide an inexpensive tool for triaging OSAS patients for polysomnography evaluation (Sökücü et al 2012). The hematological indices white blood cell count (WBC), neutrophil count, lymphocyte count, mean platelet volume (MPV), platelet distribution width (PDW), and red blood cell distribution width (RDW) have been proposed as alternative markers to those normally used clinically, e.g., interleukin-6 (IL6) and C-reactive protein, to evaluate the burden of inflammation in OSAS (Wu et al 2018)

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Obstructive sleep apnea syndrome (OSAS) is characterized by recurrent episodes of obstructive events (apnea and hypopnea) and intermittent hypoxia, which in turn contributes to the systemic inflammation that underlies this disease and its consequences (Ryan et al 2009, Gileles-Hillel et al 2014). This systemic inflammation leads to endothelial dysfunction, which contributes to the pathogenesis of cardiovascular complications in OSAS, in addition to the exposure to risk factors, such as male gender, older age, obesity, and lack of exercise (Lorenzi Filho et al 2010). Some red blood cells (RBC) and platelets indices have emerged as inflammatory biomarkers in various diseases (Tertemiz et al 2016) The severity of OSA is significantly associated with increase hematocrit, even after controlling for possible confounding variables. However, nocturnal hypoxemia in OSA does not usually lead to clinical polycythemia (Choi et al 2006). In patients referred with a clinical diagnosis of OSAS, RDW may be a marker for the severity of the condition. As RDW is usually included in a complete blood count, it could provide an inexpensive tool for triaging OSAS patients for polysomnography evaluation (Sökücü et al 2012). The hematological indices white blood cell count (WBC), neutrophil count, lymphocyte count, mean platelet volume (MPV), platelet distribution width (PDW), and red blood cell distribution width (RDW) have been proposed as alternative markers to those normally used clinically, e.g., interleukin-6 (IL6) and C-reactive protein, to evaluate the burden of inflammation in OSAS (Wu et al 2018)

Aim of Work:

To study the relationship between severity of obstructive sleep apnea and red blood cell indices

Study Design:

Retrospective Cross-sectional study

Patients and methods:

This cross-sectional study will be conducted at Chest Medicine Department, Sleep Disordered Breathing Unit, Mansoura university hospital on a thirty (30) patients with suspected obstructive sleep apnea (OSA)

Inclusion criteria:

1. Age above 18 years.
2. Stable patient with suspected OSA

Exclusion Criteria:

1. Age \<18 years.
2. Pregnant females
3. Hemodynamically unstable patients
4. Patient with Chronic diseases like COPD, CHF, CKD, CLD. DM and Stroke
5. Patient with hematologic malignancies
6. Patient on anticoagulants
7. Patients with recent blood transfusion
8. Patient with psychosis Method

The patients enrolled in this study will be subjected to the following:

1. Full history taking and physical examination
2. OSA screening: ESS, Berlin questionnaire and STOP-Bang questionnaire,
3. Pulse oximetry
4. Full night attended polysomnography (PSG)
5. Laboratory Investigations:

* Complete blood picture (done in the morning after the night of monitored sleep by PSG. With stress on red blood cell indices (RBC count, MCV, MCH, RDW)
* Arterial blood gases if needed
* Routine kidney function and liver function tests.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Obstructive Sleep Apnea

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Complete blood picture (done in the morning after the night of monitored sleep by PSG. With stress on red blood cell indices (RBC count, MCV, MCH, RDW)

morning after the night of monitored sleep by PSG. With stress on red blood cell indices (RBC count, MCV, MCH, RDW)

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 1\. Age above 18 years. 2. Stable patient with suspected OSA

Exclusion Criteria

* 1\. Age \<18 years. 2. Pregnant females 3. Hemodynamically unstable patients 4. Patient with Chronic diseases like COPD, CHF, CKD, CLD. DM and Stroke 5. Patient with hematologic malignancies 6. Patient on anticoagulants 7. Patients with recent blood transfusion 8. Patient with psychosis
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Mansoura University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Tamer Awad

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Tamer Awad Elsayed

Al Mansurah, Dakhlia, Egypt

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Egypt

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

R.23.12.2429

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

XOR Levels in OSA Patients (XOR-OSA)
NCT06554496 RECRUITING NA
Sleep Apnea in Sickle Cell Disease
NCT03753854 TERMINATED NA
Sleep Apnea and Vascular Function
NCT01717339 COMPLETED NA