Prevalence of acromegaly in moderate‐to‐severe obstructive sleep apnoea

Bruyneel, Marie; Veltri, Flora; Sitoris, Georgiana; Vintila, Sabina; Truffaut, Laurent; Kleynen, Pierre; Poppe, Kris

doi:10.1111/cen.14463

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…In AM, the screening should be targeted, according to the presence of concomitant comorbidities and/or clinical features of AM. In Endocrine Society guidelines, it is suggested that IGF‐1 be measured in all patients with typical manifestations of AM 17 . Physicians caring for OSA patients should be aware of these features.…”

Section: Discussionmentioning

confidence: 99%

“…In Endocrine Society guidelines, it is suggested that IGF-1 be measured in all patients with typical manifestations of AM. 17 Physicians caring for OSA patients should be aware of these features. In patients with OSA, it has been suggested that IGF-1 be measured only if other comorbidities, such as diabetes and hypertension, are present too.…”

Section: Discussionmentioning

confidence: 99%

“…Overweight, frequently associated with AM, increases the risk of OSA even more 16 . The prevalence of AM in OSA patients has been shown recently to be 0.14%–0.71%, much higher than in the general population 17 …”

Section: Endocrine Risk Factors For Osamentioning

confidence: 98%

“…16 The prevalence of AM in OSA patients has been shown recently to be 0.14%-0.71%, much higher than in the general population. 17 Central sleep apnoea (CSA) are also occurring in AM but less frequently than OSA. They are related to increased ventilatory response to carbon dioxide and are observed in patients with higher GH and IGF-1 levels.…”

Section: Acromegalymentioning

confidence: 99%

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Endocrine disorders in obstructive sleep apnoea syndrome: A bidirectional relationship

Akset

Poppe

Kleynen

et al. 2022

Clinical Endocrinology

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Obstructive sleep apnoea (OSA) is a common disorder characterized by recurrent episodes of apnoea or hypopnea due to total or partial pharyngeal collapse and temporary upper airway obstruction during sleep. The prevalence of OSA is increasing and currently affects about 30% of men and 13% of women in Europe.Intermittent hypoxia, oxidative stress, systemic inflammation, and sleep fragmentation resulting from OSA can provoke subsequent cardiometabolic disorders. The relationships between endocrine disorders and OSA are complex and bidirectional. Indeed, several endocrine disorders are risk factors for OSA. Compared with the general population, the prevalence of OSA is increased in patients with obesity, hypothyroidism, acromegaly, Cushing syndrome, and type 1 and 2 diabetes. In some cases, treatment of the underlying endocrine disorder can improve, and occasionally cure, OSA. On the other hand, OSA can also induce endocrine disorders, particularly glucose metabolism abnormalities. Whether continuous positive airway pressure (CPAP) treatment for OSA can improve these endocrine disturbances remains unclear due to the presence of several confounding factors. In this review, we discuss the current state-of-the-art based on the review of the current medical literature for key articles focusing on the bidirectional relationship between endocrine disorders and OSA and the effects of treatment. Screening of OSA in endocrine patients is also discussed, as it remains a subject of debate.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Endocrine Risk Factors For Osamentioning

confidence: 98%

Section: Acromegalymentioning

confidence: 99%

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Endocrine disorders in obstructive sleep apnoea syndrome: A bidirectional relationship

Akset

Poppe

Kleynen

et al. 2022

Clinical Endocrinology

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show abstract

“…Several endocrine disorders are risk factors for OSA. Compared to the general population, patients with obesity, hypothyroidism, acromegaly, Cushing's syndrome, and type 1 and type 2 diabetes have an increased prevalence of OSA (Brúsik et al, 2016;Bruyneel et al, 2022). The prevalence of insulin resistance is also higher in non-diabetic patients with moderate-to-severe OSA (Michalek-Zrabkowska et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

et al. 2022

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BackgroundOSA is an independent risk factor for several systemic diseases. Compared with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the function of all organs of the body. Due to the current limited medical condition, not every patient can be diagnosed and treated in time. To enable timely screening of patients with moderate-to-severe OSA, we selected easily accessible variables to establish a risk prediction model.MethodWe collected 492 patients who had polysomnography (PSG), and divided them into the disease-free mild OSA group (control group), and the moderate-to-severe OSA group according to the PSG results. Variables entering the model were identified by random forest plots, univariate analysis, multicollinearity test, and binary logistic regression method. Nomogram were created based on the binary logistic results, and the area under the ROC curve was used to evaluate the discriminative properties of the nomogram model. Bootstrap method was used to internally validate the nomogram model, and calibration curves were plotted after 1,000 replicate sampling of the original data, and the accuracy of the model was evaluated using the Hosmer-Lemeshow goodness-of-fit test. Finally, we performed decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire (SBQ), and NoSAS score to assess clinical utility.ResultsThere are 6 variables entering the final prediction model, namely BMI, Hypertension, Morning dry mouth, Suffocating awake at night, Witnessed apnea, and ESS total score. The AUC of this prediction model was 0.976 (95% CI: 0.962–0.990). Hosmer-Lemeshow goodness-of-fit test χ2 = 3.3222 (P = 0.1899 > 0.05), and the calibration curve was in general agreement with the ideal curve. The model has good consistency in predicting the actual occurrence of moderate-to-severe risk, and has good prediction accuracy. The DCA shows that the net benefit of the nomogram model is higher than that of SBQ and NoSAS, with has good clinical utility.ConclusionThe prediction model obtained in this study has good predictive power for moderate-to-severe OSA and is superior to other prediction models and questionnaires. It can be applied to the community population for screening and to the clinic for prioritization of treatment.

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Hypothyroidism and acromegaly

Bruyneel¹,

Sonia²

2023

ERS Handbook of Respiratory Sleep Medicine

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Prevalence of acromegaly in moderate‐to‐severe obstructive sleep apnoea

Abstract: Method-specifi c serum cortisol responses to the adrenocorticotrophin test: Comparison of gas chromatography-mass spectrometry and fi ve automated immunoassays.

Cited by 4 publications

References 23 publications

Endocrine disorders in obstructive sleep apnoea syndrome: A bidirectional relationship

Endocrine disorders in obstructive sleep apnoea syndrome: A bidirectional relationship

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

Hypothyroidism and acromegaly

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