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

February 16, 2024 updated by: Tamer Awad, Mansoura University
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)

Study Overview

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

30

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

    • Dakhlia
      • Mansoura, Dakhlia, Egypt, 050
        • Tamer Awad Elsayed

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

a thirty (30) patients with suspected obstructive sleep apnea (OSA)

Description

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

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Red Blood Cells Indices
Time Frame: one night
Red Blood Cells Indices
one night

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)

March 20, 2023

Primary Completion (Actual)

October 20, 2023

Study Completion (Actual)

December 20, 2023

Study Registration Dates

First Submitted

February 10, 2024

First Submitted That Met QC Criteria

February 10, 2024

First Posted (Actual)

February 20, 2024

Study Record Updates

Last Update Posted (Actual)

February 20, 2024

Last Update Submitted That Met QC Criteria

February 16, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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