Body weight and obstructive sleep apnea: a mathematical relationship between body mass index and apnea-hypopnea index in veterans

Fattal, Deema; Hester, Stacy; Wendt, Linder

doi:10.5664/jcsm.10190

Cited by 17 publications

(6 citation statements)

References 26 publications

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“…For example, a longitudinal community cohort study found that when weight loss occurred, a 1% decrease in body weight was associated with a 2.6% improvement in AHI 59 . Fattal and colleagues found a similar association (6%–7% change in AHI per BMI point) in a cross‐sectional analysis of weight at the time of sleep study and also by reviewing weight change‐AHI relationships reported in the literature of mostly observational studies of interventions 60 . One advantage of the current analysis is that, unlike prior works, the included studies are not susceptible to confounding by patient factors associated with weight change and the propensity to experience apneas independent of weight, such as the ability to increase exercise or decrease alcohol intake.…”

Section: Discussionmentioning

confidence: 89%

“…59 Fattal and colleagues found a similar association (6%-7% change in AHI per BMI point) in a cross-sectional analysis of weight at the time of sleep study and also by reviewing weight change-AHI relationships reported in the literature of mostly observational studies of interventions. 60 One advantage of the current analysis is that, unlike prior works, the included studies are not susceptible to confounding by patient factors associated with weight change and the propensity to experience apneas independent of weight, such as the ability to increase exercise or decrease alcohol intake. However, if moderators of weight's influence on AHI, such as age or OSA endotype, 61 occur with different frequencies between the included studies, this could still bias our meta-regression's estimate.…”

Section: Discussionmentioning

confidence: 99%

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The association of weight loss from anti‐obesity medications or bariatric surgery and apnea‐hypopnea index in obstructive sleep apnea

Locke,

Gomez‐Lumbreras,

Tan

et al. 2024

Obesity Reviews

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SummaryIntroductionWeight loss is recommended for individuals with obstructive sleep apnea (OSA) and overweight or obesity, but there is limited evidence to guide the selection of weight management strategies for patients who do not lose sufficient weight with diet and lifestyle changes. We evaluated the relationship between weight loss caused by pharmacologic or surgical interventions and subsequent improvement in OSA by the apnea‐hypopnea index (AHI).MethodsPubMed, Cochrane CENTRAL, and EMBASE were searched for randomized trials comparing pharmacologic or surgical obesity interventions to usual care, placebo, or no treatment in adults with OSA. The association between percentage weight loss and AHI change between randomization and last follow‐up was evaluated using meta‐regression. PROSPERO: CRD42022378853.ResultsTen eligible trials (n = 854 patients) were included. Four (n = 211) assessed bariatric surgery, and 6 (n = 643) assessed pharmacologic interventions over a median follow‐up of 13 months (interquartile range 6–26 months). The linear best estimate of the change in AHI is 0.45 events per hour (95% Confidence Interval 0.18 to 0.73 events per hour) for every 1% body weight lost.ConclusionsWeight loss caused by medication or surgery caused a proportionate improvement of the AHI. Providers could consider extrapolating from this relationship when advising patients of the expected effects of other pharmacologic or surgical interventions without direct evidence in OSA.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

The association of weight loss from anti‐obesity medications or bariatric surgery and apnea‐hypopnea index in obstructive sleep apnea

Locke,

Gomez‐Lumbreras,

Tan

et al. 2024

Obesity Reviews

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“…Tis parameter efectively distinguishes simple snoring from OSAHS and plays an essential role in clinical diagnosis and treatment. Numerous studies have substantiated a signifcant correlation between weight loss resulting from dietary and lifestyle modifcations and the reduction of AHI in patients diagnosed with OSAHS [14][15][16]. Zeng et al [17] demonstrated a negative correlation between AP level and AHI in obese patients with OSAHS.…”

Section: Discussionmentioning

confidence: 99%

Changes of Serum Adiponectin Level in Patients with Obstructive Sleep Apnea Hypopnea Syndrome and Its Relationship with Sleep Monitoring Indexes

Li,

Zhou,

Chen

2024

Canadian Respiratory Journal

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Objective. To observe the changes of serum adiponectin (AP) levels in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and explore the correlation between serum AP and polysomnography (PSG) parameters in patients with OSAHS. Methods. The data of subjects who underwent PSG at the hospital between January 2021 and December 2022 were collected retrospectively and divided into simple snoring group (AHI < 5 times/h, n = 45), mild OSAHS group (5 ≤ AHI < 15 times/h, n = 63), moderate OSAHS group (15 ≤ AHI ≤ 30 times/h, n = 52), and severe OSAHS group (AHI > 30 times/h, n = 60). The general data, PSG indices, and serological indices of the subjects were collected and compared between groups. Pearson correlation analysis and partial correlation analysis were employed to examine the correlation between serum AP level and PSG parameters. Ordered logistic regression was employed to analyze the risk factors influencing the severity of OSAHS. The predictive capability of the serum AP level in determining the occurrence of OSAHS was assessed using ROC. The serum AP levels of subjects with different subtypes of PSG indicators were compared. Results. In the simple snoring group, mild OSAHS group, moderate OSAHS group, and severe OSAHS group, there were statistically significant differences in microarousal count, MAI, AHI, times of blood oxygen decreased by ≥ 3%, L-SaO2, and TS90% among the 4 groups (P<0.05). The level of serum AP was positively correlated with L-SaO2 and negatively correlated with the proportion of REM, microarousal count, MAI, AHI, times of blood oxygen decreased by ≥ 3%, TS90%, and LP (P<0.05). High AHI was a risk factor affecting the severity of OSAHS (95% CI: 1.446–4.170). The AUC of serum AP level in diagnosing OSAHS was 0.906 (95% CI: 0.8601–0.9521), and when the Youden Index was 0.678, the sensitivity was 88.9%, and the specificity was 78.9% (P<0.0001). In the population with a high microarousal count, high AHI, and high times of blood oxygen decreased by ≥ 3% and high TS90%, the serum AP level was lower than that in the low-level population (P<0.05). In the population with high L-SaO2, the serum AP level was higher than that in low-level population (P<0.05). Conclusion. The level of serum AP decreased with the increase of the disease severity of patients with OSAHS and demonstrates a significant predictive capability for the occurrence of OSAHS. Monitoring the level of serum AP can effectively forecast the risk of OSAHS. Furthermore, alterations in serum AP levels are associated with both hypoxemia and a heightened frequency of arousal in patients with OSAHS.

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“…Известно что ИМТ >25 кг/м 2 повышает вероятность развития АГ [59], а ИМТ >30 кг/м 2 является фактором сердечно-сосудистого риска, повышающим риск неблагоприятных сердечно-сосудистых событий, в том числе за счет более тяжелого течения АГ [60,61]. В свою очередь, с увеличением ИМТ прогрессивно возрастает и тяжесть СОАС [62,63,64,65]. На основании этих данных логично предположить, что у больных с неконтролируемой АГ наиболее важной проблемой является избыточная масса тела или ожирение, а не СОАС.…”

Section: Discussionunclassified

Obstructive sleep apnea syndrome in the continuum of uncontrolled hypertension

Mikhailova,

Elfimova,

Khachatryan

et al. 2023

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Aim. To assess frequency and severity of sleep breathing disorders in patients with uncontrolled hypertension among patients referred to a sleep laboratory.Materials and methods. 113 patients aged 18-80 years with arterial hypertension (AH) were included. All patients underwent sleep cardiorespiratory monitoring, general clinical and laboratory diagnostics. Uncontrolled hypertension was defined as systolic blood pressure (BP) >140 mm Hg, or diastolic BP >90 mm Hg. in case of permanent antihypertensive therapy (AHT) taking.Results. Among all patients with uncontrolled hypertension (Group 1; n=42, 37,2%), 95,2% had obstructive sleep apnea syndrome (OSA). Compared with the controlled hypertension group (Group 2), AHI and ODI were higher in Group 1 (AHI 28,0 events/hour [14,8; 51,8] vs. 17,5 events/hour [8,7; 39,0], p=0,03; ODI 25,3 events/hour [14,4; 50,6] versus 17,1 events/hour [8,5; 37,0], p=0,04). In addition, these parameters turned out to be markers of uncontrolled hypertension (AHI >19,9 events/hour, AUC=0,62, p=0,03; OR 3,23, 95%; CI 1,7-6,1, p=0,00; ODI >19,5 events/hour, AUC=0,62, p=0,03; OR 3,07, 95% CI 1,7-5,7, p=0,01). The level of systolic BP >146 mm Hg. turned out to be a marker of the moderate or severe OSA (AUC=0,66, p=0,00; OR 4,45, 95% CI 1,811,2, p=0,00).Conclusion. High incidence of moderate or severe OSA in patients with uncontrolled hypertension emphasizes the importance of sleep breathing disorders examining in these patients. Timely diagnostics and treatment of OSA probably will allow to provide better BP levels control and thus will lead to reducing of cardiovascular risk.

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Body weight and obstructive sleep apnea: a mathematical relationship between body mass index and apnea-hypopnea index in veterans

Cited by 17 publications

References 26 publications

The association of weight loss from anti‐obesity medications or bariatric surgery and apnea‐hypopnea index in obstructive sleep apnea

The association of weight loss from anti‐obesity medications or bariatric surgery and apnea‐hypopnea index in obstructive sleep apnea

Changes of Serum Adiponectin Level in Patients with Obstructive Sleep Apnea Hypopnea Syndrome and Its Relationship with Sleep Monitoring Indexes

Obstructive sleep apnea syndrome in the continuum of uncontrolled hypertension

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