Associations between obstructive sleep apnea and prescribed opioids among veterans

Sleep apnea syndrome in patients with methadone or buprenorphine

OBJECTIVES

This work aimed to assess the association between sleep apnea syndrome (SAS) and opioid substitution treatments (OST) dose/timing of administration in patients receiving methadone or buprenorphine for an opioid use disorder (OUD).

METHODS

We conducted a retrospective cross-sectional study by including files of adult patients treated between November 2015 and January 2023 with methadone or buprenorphine and who had a nocturnal respiratory polygraphy. We collected information on treatments and polygraphical recording data such as the apnea-hypopnea index (AHI).

RESULTS

We enrolled 60 patients on methadone and 15 on buprenorphine. The sample encompassed 72% of males, and the mean age was 36±7.49years. Moderate to severe and severe SAS were significantly associated with the daily dose and the evening administration but was not predicted by the type of OST. However, the mean and median values of AIH were significantly greater with methadone. Contrary to methadone, there was no significant correlation between the buprenorphine daily dose and the AHI. The best sensitivities and specificities for the prediction of an AHI≥15 events/h and an AHI≥30 events/h were respectively obtained with methadone dose thresholds of 77.5mg/day.

CONCLUSIONS

In this sample, the methadone daily dose of 77.5mg was the best cut-point to predict moderate to severe SAS, especially while taken in the evening, and we found no correlation between buprenorphine and the AHI. These results draw clinicians' attention to buprenorphine use as an alternative for patients treated with methadone and having SAS.

Methadone Dose and Timing of Administration as Predictors of Sleep Apnea Syndrome During Methadone Maintenance Treatment: A Retrospective Cross-sectional Study

Background

This study aimed to assess the association of sleep apnea syndrome (SAS) with methadone dose and timing of administration in patients receiving methadone maintenance treatment (MMT) for opioid use disorder (OUD).

Methods

This retrospective cross-sectional study was conducted on adult patients receiving MMT who had a nocturnal respiratory polygraphy between November 2015 and December 2021. Data on methadone treatment and polygraph recording, including the apnea-hypopnea index (AHI) were collected.

Findings

A total of 40 patients, mostly male (72.5%), with a mean age of 35±6.7 years and a mean body mass index (BMI) of 25.1±4.5 kg/m2 were included. The daily dose of methadone was significantly associated with an AHI≥15 events/h as well as an AHI≥30 events/h, even after adjustment for age, gender, BMI, and benzodiazepine use. However, these associations were not preserved when the time of administration (day vs evening) was considered, while the evening administration was significantly associated with an AHI≥15 events/h. The best sensitivity and specificity for the prediction of AHI≥15 events/h and AHI≥30 events/h were obtained with daily methadone doses of≥72.5 mg and 77.5 mg, respectively.

Conclusion

In this sample of MMT patients, methadone doses of 72.5 mg and 77.5 mg were the best cut-off values for predicting AHI≥15 and≥30 events/h, respectively, especially when taken in the evening. These results should draw clinicians' attention to the importance of SAS screening, and further studies are needed, notably comparisons with buprenorphine.

Opioid Use Disorder, Sleep Deficiency, and Ventilatory Control: Bidirectional Mechanisms and Therapeutic Targets

Opioid use continues to rise globally. So too do the associated adverse consequences. Opioid use disorder (OUD) is a chronic and relapsing brain disease characterized by loss of control over opioid use and impairments in cognitive function, mood, pain perception, and autonomic activity. Sleep deficiency, a term that encompasses insufficient or disrupted sleep due to multiple potential causes, including sleep disorders, circadian disruption, and poor sleep quality or structure due to other medical conditions and pain, is present in 75% of patients with OUD. Sleep deficiency accompanies OUD across the spectrum of this addiction. The focus of this concise clinical review is to highlight the bidirectional mechanisms between OUD and sleep deficiency and the potential to target sleep deficiency with therapeutic interventions to promote long-term, healthy recovery among patients in OUD treatment. In addition, current knowledge on the effects of opioids on sleep quality, sleep architecture, sleep-disordered breathing, sleep apnea endotypes, ventilatory control, and implications for therapy and clinical practice are highlighted. Finally, an actionable research agenda is provided to evaluate the basic mechanisms of the relationship between sleep deficiency and OUD and the potential for behavioral, pharmacologic, and positive airway pressure treatments targeting sleep deficiency to improve OUD treatment outcomes.

Differential Perioperative Outcomes in Patients With Obstructive Sleep Apnea, Obesity, or a Combination of Both Undergoing Open Colectomy: A Population-Based Observational Study

BACKGROUND

An increasing body of evidence demonstrates an association between obstructive sleep apnea (OSA) and adverse perioperative outcomes. However, large-scale data on open colectomies are lacking. Moreover, the interaction of obesity with OSA is unknown. This study examines the impact of OSA, obesity, or a combination of both, on perioperative complications in patients undergoing open colectomy. We hypothesized that while both obesity and OSA individually increase the likelihood for perioperative complications, the overlap of the 2 conditions is associated with the highest risk.

METHODS

Patients undergoing open colectomies were identified using the national Premier Healthcare claims-based Database (2006-2016; n = 340,047). Multilevel multivariable models and relative excess risk due to interaction (RERI) analysis quantified the impact of OSA, obesity, or both on length and cost of hospitalization, respiratory and cardiac complications, intensive care unit (ICU) admission, mechanical ventilation, and inhospital mortality.

RESULTS

Nine thousand twenty-eight (2.7%) patients had both OSA and obesity diagnoses; 10,137 (3.0%) had OSA without obesity; and 33,692 (9.9%) had obesity without OSA. Although there were overlapping confidence intervals in the binary outcomes, the risk increase was found highest for OSA with obesity, intermediate for obesity without OSA, and lowest for OSA without obesity. The strongest effects were seen for respiratory complications: odds ratio (OR), 2.41 (2.28-2.56), OR, 1.40 (1.31-1.49), and OR, 1.50 (1.45-1.56), for OSA with obesity, OSA without obesity, and obesity without OSA, respectively (all P < .0001). RERI analysis revealed a supraadditive effect of 0.51 (95% confidence interval [CI], 0.34-0.68) for respiratory complications, 0.11 (-0.04 to 0.26) for cardiac complications, 0.30 (0.14-0.45) for ICU utilization, 0.34 (0.21-0.47) for mechanical ventilation utilization, and 0.26 (0.15-0.37) for mortality in patients with both OSA and obesity, compared to the sum of the conditions' individual risks. Inhospital mortality was significantly higher in patients with both OSA and obesity (OR [CI], 1.21 [1.07-1.38]) but not in the other groups.

CONCLUSIONS

Both OSA and obesity are individually associated with adverse perioperative outcomes, with a supraadditive effect if both OSA and obesity are present. Interventions, screening, and perioperative precautionary measures should be tailored to the respective risk profile. Moreover, both conditions appear to be underreported compared to the general population, highlighting the need for stringent perioperative screening, documentation, and reporting.