Abstract
Background: The correlation of symptoms and apnoea-hypopnoea index (AHI) in OSA is limited and its prognostic significance questionable. The Baveno classification was introduced to extend the classification of OSA severity considering symptoms and comorbidities. The current study evaluated associations between polygraphic (PG) data and OSA symptoms according to the Baveno classification.
Methods: OSA patients from the European Sleep Apnoea Data Base (ESADA) cohort, collected from 2007 onwards in 20 countries were categorized according to the Baveno groups A-D based on symptoms (ESS≥11, subjective sleep length ≥11h, insomnia) and comorbidities (uncontrolled arterial hypertension, atrial fibrillation, heart failure, diabetes, and history of stroke). Groups A and C (mild symptoms) as well as B and D (major symptoms) were combined to analyse their correlation with PG parameters.
Results: 14499 patients were categorized in Baveno groups A+C (55%) and B+D (45%). Anthropometric data between groups were comparable (median age 56 vs. 54, median BMI 31 vs. 32, both 72% male). PG data correlated poorly with symptoms (table 1) and showed no clinically relevant differences between Baveno groups (figure 1).
| Correlations | AHI | ODI | SpO2mean | SpO2min | tSpO2<90% |
| Symptoms | 0.14 | 0.14 | -0.11 | -0.13 | 0.12 |
Conclusion: Isolated PG data are not suitable biomarkers to predict OSA symptoms and thus, should not be the only basis to guide therapy.
Footnotes
Cite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA2488.
This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2021
