Insomnia in chronic obstructive pulmonary disease and associations with healthcare utilization and costs

Comorbidities in COPD: Current and Future Treatment Challenges

Chronic obstructive pulmonary disease (COPD) is a heterogeneous lung condition, primarily characterized by the presence of a limited airflow, due to abnormalities of the airways and/or alveoli, that often coexists with other chronic diseases such as lung cancer, cardiovascular diseases, and metabolic disorders. Comorbidities are known to pose a challenge in the assessment and effective management of COPD and are also acknowledged to have an important health and economic burden. Local and systemic inflammation have been proposed as having a potential role in explaining the association between COPD and these comorbidities. Considering that the number of patients with COPD is expected to rise, understanding the mechanisms linking COPD with its comorbidities may help to identify new targets for therapeutic purposes based on multi-dimensional assessments.

Prevalence and clinical characteristics of sleep disorders in chronic obstructive pulmonary disease: A systematic review and meta-analysis

BACKGROUND

Sleep disorders, including obstructive sleep apnea (OSA), restless leg syndrome (RLS) and insomnia, are present in chronic obstructive pulmonary disease (COPD) with varied prevalence. The aim of this systematic review and meta-analysis was to investigate prevalence of OSA, RLS and insomnia in patients with COPD and summarize their clinical characteristics.

METHODS

We searched PubMed, Web of Science and Scopus for eligible articles reporting the prevalence of OSA, RLS, and insomnia in COPD patients. The Newcastle‒Ottawa scale was applied for quality assessment. Odds ratios or mean differences with 95 % confidence intervals (CIs) were applied for the overall prevalence calculation and clinical characteristics assessment. Sensitivity analysis, subgroup analysis and meta-regression were conducted to evaluate the heterogeneity of the results.

RESULTS

Sixty articles reporting the prevalence of sleep disorders in patients with COPD were included, and the prevalence of OSA, RLS, and insomnia reached 29.1 %(95%CI 27.2%-30.9 %), 21.6 %(95%CI 11.8%-33.3 %) and 29.5 %(95%CI 16.9%-44.0 %), respectively. COPD patients with OSA were characterized by male sex (OR 1.631 95 % CI: 1.231-2.161), obesity(kg/m2) (MD 4.435, 95 % CI 3.218-5.652), higher Epworth Sleepiness Scale (MD: 3.741, 95 % CI: 0.655-6.828, p = 0.018), better pulmonary function (MD 5.66, 95 % CI 3.546-7.774) and higher risks of hypertension (OR 1.933 95 % CI 1.382-2.70) and diabetes (OR 1.898 95 % CI 1.264-2.849). COPD patients with RLS were associated with a higher Epworth sleepiness scale (ESS) score (MD 3.444, 95 % CI 1.880-5.008) and a longer COPD duration(year) (MD: 3.656, 95 % CI: 2.209-5.103). COPD patients with insomnia were characterized by female sex(OR 0.556, 95%CI 0.545,0.567, p < 0.001).

CONCLUSION

Our study suggests that OSA, RLS and insomnia are common in COPD patients with specific clinical characteristics. Further studies are needed to explore the interactions between COPD and sleep disorders.

Association Between Hypnotic Use and All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease and Insomnia

Purpose

Hypnotics are commonly prescribed in patients with COPD to manage insomnia. Given the considerable risks associated with these drugs, the aim of the study was to evaluate the risk of all-cause mortality associated with hypnotics in a cohort of veterans with COPD presenting with insomnia.

Methods

We conducted a retrospective cohort study that used Veterans Health Administration Corporate Data Warehouse with data supplemented by linkage to Medicare, Medicaid, and National Death Index data from 2010 through 2019. The primary outcome was all-cause mortality. Analyses were conducted using propensity score 1:1 matching to balance baseline characteristics.

Results

Of the 5759 veterans with COPD (mean [SD] age, 71.7 [11.2]; 92% men), 3585 newly initiated hypnotic agents during the study period. During a mean follow-up of 7.4 (SD, 2.7) years, a total of 2301 deaths occurred, with 65.2 and 48.7 total deaths per 1000 person-years among hypnotic users and nonusers, respectively. After propensity matching, hypnotic use was associated with a 22% increased risk of mortality compared with hypnotic nonusers (hazard ratio [HR] 1.22; 95% confidence interval [CI],1.11-1.35). The benzodiazepine receptor agonists (BZRAs) group experienced a higher incidence rate of all-cause mortality compared to hypnotic nonusers (Incidence rate ratio [IRR] 1.27; 95% CI, 1.14-1.43). Conversely, the mortality rate of non-BZRA hypnotics decreased after the first 2 years and was not significantly different for hypnotic nonusers (IRR 1.04; 95% CI, 0.82-1.11).

Conclusion

Among patients with COPD and insomnia, treatment with hypnotics was associated with a higher risk of all-cause mortality. The association was observed in patients prescribed BZRAs. The risk of mortality for non-BZRAs moderated after the first 2 years, indicating a class effect.

Reliability generalization meta-analysis of the Athens Insomnia Scale and its translations: Examining internal consistency and test-retest validity

The Athens Insomnia Scale (AIS) is a widely used self-report measure to evaluate insomnia symptoms based on the International Classification of Diseases criteria version 10 (ICD-10). Despite its extensive use in clinical and research settings, the reliability of the AIS has not been systematically investigated. This systematic review reports a reliability generalization meta-analysis study to assess the internal consistency and the test-retest reliability of the AIS across various populations and settings. A systematic literature search was conducted to identify studies reporting Cronbach's alpha and test-retest coefficients for the AIS. Pooled estimates of reliability, along with moderator analyses, were calculated. The AIS has an excellent internal consistency of 0.84 (95% CI: 0.81 to 0.86), and re-test reliability of 0.86 (95% CI: 0.80 to 0.92). The significant heterogeneity levels support the recommendation that future studies using the AIS include and discuss reliability estimates based on their own data.