Solomons, Daniel

Objective: To determine whether sleep apnea–specific hypoxic burden (SASHB) is associated with self-reported hypertension beyond conventional obstructive sleep apnea metrics in rail workers. Methods: Cross-sectional study of 84 Argentine rail workers undergoing home sleep apnea testing. Associations between SASHB and hypertension were evaluated using adjusted logistic regression. Drowsy driving was examined as an unadjusted exploratory secondary outcome. Results: Higher SASHB was independently associated with hypertension in the fully adjusted model (OR per SD 2.42; 95% CI 1.24–5.29; p=0.015). Higher SASHB was also associated with more severe self-reported drowsy driving in unadjusted exploratory ordinal analyses (OR per SD 1.78; 95% CI 1.09–3.28; p=0.035). Conclusions: SASHB may provide complementary information beyond conventional OSA metrics for cardiovascular risk assessment in occupational populations.

Background and Objectives: Obstructive sleep apnea (OSA) is a heterogeneous disease with diverse clinical presentations and high global prevalence. Obesity is a common comorbidity in OSA, but its relationship with symptom subtypes remains unclear. This study aimed to evaluate the association between OSA symptom subtypes and obesity in a clinical cohort. Methods: This observational study analyzed data from the Santiago Obstructive Sleep Apnea (SantOSA) prospective clinical cohort, including adults with OSA confirmed by home sleep apnea testing. Symptom subtypes were identified using latent class analysis. Associations between obesity and symptom subtypes were evaluated using multivariable regression models adjusted for age, sex, tobacco use, RDI, T90%, TST, hypertension, and diabetes. Statistical significance was set at p < 0.05. Results: A total of 1167 patients were included (943 men). Latent class analysis identified three symptom subtypes: non-sleepy, disturbed sleep, and excessive daytime sleepiness. Among obese patients, 30.7%, 50.0%, and 19.3% were classified into these subtypes, respectively. Obesity prevalence was 50.2%, and compared with non-obese OSA patients, obese patients showed a higher prevalence of severe OSA (46.1% vs. 26.9%), hypertension (54.4% vs. 34.9%), and diabetes (37.2% vs. 19.4%), as well as higher ESS scores and higher RDI and T90% values (all p < 0.01). In adjusted analyses, obesity remained independently associated with the excessive daytime sleepiness subtype after controlling for age, sex, tobacco use, RDI, T90%, TST, and comorbidities. Conclusions: Obesity is highly prevalent in OSA and is associated with specific symptom-defined phenotypes, particularly excessive daytime sleepiness and disturbed sleep. These findings support the relevance of considering symptom profiles alongside traditional severity metrics.

AbstractObstructive sleep apnea (OSA) is a widespread condition associated with an elevated risk of adverse outcomes. Continuous positive airway pressure (CPAP) is the gold standard treatment, particularly for moderate to severe OSA. However, in many instances, CPAP compliance falls short of expectations, necessitating physicians to consider additional interventions to alleviate patient symptoms. A comprehensive understanding of OSA endotypes and phenotypes can potentially enhance the confidence in selecting the appropriate combination or intervention to improve patient care. In this review, we will discuss various interventions and medications available to enhance the treatment of patients with OSA, following a precision medicine approach.