Relationship between Charlson Comorbidity Index and Obstructive Sleep Apnea severity indicators in a Tunisian cohort

Lenda Ben Hmida1, Ines Moussa1, Nour Lahbib Jallouli1

  • 1Pneumology Department D, Abderahmen Mami Hospital, 2080, Ariana, Faculty of medicine of Tunis, University Tunis El Manar, 1007 Tunisia.

La Tunisie Medicale
|April 8, 2026
PubMed

Insights

The Charlson Comorbidity Index (CCI) shows a modest ability to screen for severe obstructive sleep apnea (OSA), a significant cardiovascular risk factor. While associated with several OSA severity predictors, its overall effectiveness is limited.

Area of Science:

  • Pulmonology
  • Cardiology
  • Geriatrics

Background:

  • Obstructive sleep apnea (OSA) is a significant cardiovascular risk factor linked to increased morbidity and mortality.
  • The Charlson Comorbidity Index (CCI) is a standard tool for assessing comorbidities in chronic diseases.

Purpose of the Study:

  • To evaluate the Charlson Comorbidity Index (CCI) as a potential screening tool for severe obstructive sleep apnea (OSA).
  • To assess the association between the CCI and predictors of OSA severity.

Main Methods:

  • A retrospective study involving patients diagnosed with OSA.
  • Calculation of the median CCI and division of patients into two groups based on this median.
  • Analysis of associations between CCI and various clinical and polysomnographic parameters.

Main Results:

  • A CCI of 3 or higher was significantly associated with older age, higher Stop Bang scores, elevated diastolic blood pressure, and poorer oxygenation metrics.
  • No significant association was found between CCI and the Apnea-Hypopnea Index (AHI) or body mass index.
  • The CCI demonstrated a sensitivity of 66% and specificity of 49% for identifying severe OSA at a cutoff of 2.5.

Conclusions:

  • The CCI has a significant, albeit modest, capability in identifying severe OSA.
  • The association between CCI and OSA severity predictors is variable, suggesting limitations for its use as a sole screening tool.
Abstract

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