The Risk Factors and Predictors of Chronic Obstructive Pulmonary Disease in Patients With Obstructive Sleep Apnea–Hypopnea Syndrome at Plateau

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Clinical Respiratory Journal Pub Date : 2025-02-20 DOI:10.1111/crj.70053
Yumei Geng, Yu Hu, Bin Li, Zhuoma Dawa, Fang Zhang
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Abstract

Background

OSAHS patients with COPD (i.e., overlap syndrome) have a significantly worse prognosis than those with OSAHS alone, and the role of plateau hypoxia in the occurrence of the disease is still unclear. This underscores the urgent need to explore the risk factors for the incidence of COPD in patients with OSAHS and to identify predictors for the occurrence of overlap syndrome at plateau.

Methods

Fifty patients with OSAHS and 34 patients with overlap syndrome were enrolled in this study. Demographic, auxiliary examination, and laboratory data were collected.

Results

All patients enrolled were obstructive sleep apnea–hypopnea syndrome. The apnea–hypopnea index (AHI), the number of hypopnea, and the oxygen desaturation index were higher in the group of patients with overlap syndrome than in the group of patients with OSAHS. The mean pulse oxygen saturation was lower than that in the group of patients with OSAHS (p < 0.05). The right heart structure and function indexes (PASP, right atrial transverse diameter, RVTD, BNP, TNI) in patients with overlap syndrome were worse than those in patients with OSAHS (p < 0.05), and this worse cardiovascular status was positively correlated with inflammatory factors such as high-sensitivity C-reactive protein, IL-6, and PCT (p < 0.05). Binary logistic regression analysis indicated that PASP, smoking index, and AHI were independent risk factors for OSAHS developing into overlap syndrome. ROC curve showed that the area under the curve of the combination of the three markers for predicting overlap syndrome was 0.908 (95% CI 0.843–0.974, p = 0.000), with a sensitivity of 0.882 and a specificity of 0.820. The optimal cutoff values for PASP were 42.5 mmHg, 15 for the smoking index, and 25.65 for the AHI based on the Youden index.

Conclusions

Our study reveals that overlap syndrome has more frequent nighttime hypopnea and hypoxia than OSAHS alone. The cardiovascular complications of overlapping syndromes at plateau are more pronounced, possibly due to the exacerbation of the systemic inflammatory response. The combination of PASP, smoking index, and AHI can be a powerful tool for predicting and assessing the occurrence of COPD in OSAHS patients from plateau populations in China. These findings have the potential to significantly improve the management and prognosis of patients with overlap syndrome.

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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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