Comparison of Anthropometric Data Between Asian and Caucasian Patients With Obstructive Sleep Apnea: A Meta-Analysis

Sleep Quality of Morbidly Obese Patients After Bariatric Surgery

Purpose

Obesity is a major risk factor for obstructive sleep apnea (OSA), associated with conditions like type 2 diabetes, hypertension, stroke, cancer, and premature death. OSA involves sleep-breathing interruptions, with over 60% of obese individuals diagnosed through polysomnography. This study explores sleep issues in individuals considering bariatric surgery.

Materials and Methods

We retrospectively analyzed sleep study records and questionnaires of 137 obese patients undergoing metabolic surgery at Kosin University Gospel Hospital between January 1, 2019, and September 30, 2022. Statistical tests, including Student's t-test and logistic regression, assessed subjective and objective characteristics.

Results

Most subjects, predominantly female with comorbidities, exhibited poor sleep quality. Positive correlations between polysomnography and subjective evaluation indicated poor results. Logistic regression revealed increased OSA likelihood with higher Apnea-Hypopnea Index, with associations to sex, age, and body mass index (BMI).

Conclusion

Regardless of BMI, most patients with a BMI ≥30 kg/m2 undergoing bariatric surgery were diagnosed with OSA, experiencing poor subjective and objective sleep quality. Correlations between subjective and objective evaluations were significant, with sex, advanced age, and high BMI identified as significant OSA risk factors.

Development and application of a machine learning-based predictive model for obstructive sleep apnea screening

Objective

To develop a robust machine learning prediction model for the automatic screening and diagnosis of obstructive sleep apnea (OSA) using five advanced algorithms, namely Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), Support Vector Machine (SVM), Light Gradient Boosting Machine (LightGBM), and Random Forest (RF) to provide substantial support for early clinical diagnosis and intervention.

Methods

We conducted a retrospective analysis of clinical data from 439 patients who underwent polysomnography at the Affiliated Hospital of Xuzhou Medical University between October 2019 and October 2022. Predictor variables such as demographic information [age, sex, height, weight, body mass index (BMI)], medical history, and Epworth Sleepiness Scale (ESS) were used. Univariate analysis was used to identify variables with significant differences, and the dataset was then divided into training and validation sets in a 4:1 ratio. The training set was established to predict OSA severity grading. The validation set was used to assess model performance using the area under the curve (AUC). Additionally, a separate analysis was conducted, categorizing the normal population as one group and patients with moderate-to-severe OSA as another. The same univariate analysis was applied, and the dataset was divided into training and validation sets in a 4:1 ratio. The training set was used to build a prediction model for screening moderate-to-severe OSA, while the validation set was used to verify the model's performance.

Results

Among the four groups, the LightGBM model outperformed others, with the top five feature importance rankings of ESS total score, BMI, sex, hypertension, and gastroesophageal reflux (GERD), where Age, ESS total score and BMI played the most significant roles. In the dichotomous model, RF is the best performer of the five models respectively. The top five ranked feature importance of the best-performing RF models were ESS total score, BMI, GERD, age and Dry mouth, with ESS total score and BMI being particularly pivotal.

Conclusion

Machine learning-based prediction models for OSA disease grading and screening prove instrumental in the early identification of patients with moderate-to-severe OSA, revealing pertinent risk factors and facilitating timely interventions to counter pathological changes induced by OSA. Notably, ESS total score and BMI emerge as the most critical features for predicting OSA, emphasizing their significance in clinical assessments. The dataset will be publicly available on my Github.

Cut-off points of neck and waist circumference as predictors of obstructive sleep apnea in the Colombian population: a comparison with polysomnography

BACKGROUND

Neck circumference (NC) is a useful anthropometric measure for predicting obstructive sleep apnea (OSA). Ethnicity and sex also influence obesity phenotypes. NC cut-offs for defining OSA have not been established for the Latin American population.

OBJECTIVES

To evaluate NC, waist circumference (WC), and body mass index (BMI) as predictors of OSA in the Colombian population and to determine optimal cut-off points.

DESIGN AND SETTING

Diagnostic tests were conducted at the Javeriana University, Bogota.

METHODS

Adults from three cities in Colombia were included. NC, WC, and BMI were measured, and a polysomnogram provided the reference standard. The discrimination capacity and best cut-off points for diagnosing OSA were calculated.

RESULTS

964 patients were included (57.7% men; median age, 58 years) and 43.4% had OSA. The discrimination capacity of NC was similar for men and women (area under curve, AUC 0.63 versus 0.66, P = 0.39) but better for women under 60 years old (AUC 0.69 versus 0.57, P < 0.05). WC had better discrimination capacity for women (AUC 0.69 versus 0.57, P < 0.001). There were no significant differences in BMI. Optimal NC cut-off points were 36.5 cm for women (sensitivity [S]: 71.7%, specificity [E]: 55.3%) and 41 cm for men (S: 56%, E: 62%); and for WC, 97 cm for women (S: 65%, E: 69%) and 99 cm for men (S: 53%, E: 58%).

CONCLUSIONS

NC and WC have moderate discrimination capacities for diagnosing OSA. The cut-off values suggest differences between Latin- and North American as well as Asian populations.

A risk-predictive model for obstructive sleep apnea in patients with chronic obstructive pulmonary disease

Background

Obstructive sleep apnea syndrome (OSA) is increasingly reported in patients with chronic obstructive pulmonary disease (COPD). Our research aimed to analyze the clinical characteristics of patients with overlap syndrome (OS) and develop a nomogram for predicting OSA in patients with COPD.

Methods

We retroactively collected data on 330 patients with COPD treated at Wuhan Union Hospital (Wuhan, China) from March 2017 to March 2022. Multivariate logistic regression was used to select predictors applied to develop a simple nomogram. The area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA) were used to assess the value of the model.

Results

A total of 330 consecutive patients with COPD were enrolled in this study, with 96 patients (29.1%) confirmed with OSA. Patients were randomly divided into the training group (70%, n = 230) and the validation group (30%, n = 100). Age [odds ratio (OR): 1.062, 1.003–1.124], type 2 diabetes (OR: 3.166, 1.263–7.939), neck circumference (NC) (OR: 1.370, 1.098–1,709), modified Medical Research Council (mMRC) dyspnea scale (OR: 0.503, 0.325–0.777), Sleep Apnea Clinical Score (SACS) (OR: 1.083, 1.004–1.168), and C-reactive protein (CRP) (OR: 0.977, 0.962–0.993) were identified as valuable predictors used for developing a nomogram. The prediction model performed good discrimination [AUC: 0.928, 95% confidence interval (CI): 0.873–0.984] and calibration in the validation group. The DCA showed excellent clinical practicability.

Conclusion

We established a concise and practical nomogram that will benefit the advanced diagnosis of OSA in patients with COPD.

Association between obstructive sleep apnea and floppy eyelid syndrome: A systematic review and metaanalysis

RATIONALE

Obstructive sleep apnoea (OSA) has been linked to various ocular disorders, including floppy eyelid syndrome (FES). Previous studies have hypothesised the underlying association between the 2 , but results are currently still inconclusive.

OBJECTIVE

To investigate the association between OSA and FES.

METHODS

Four databases (Pubmed, Embase, Scopus, and Cochrane Library) were searched from inception until 28 February 2022 for observational studies and randomized controlled trials assessing the association between OSA and FES. Two reviewers selected studies, extracted data, graded the risk of bias using the Newcastle-Ottawa scale and the quality of assessment using the Grading of Recommendations Assessment, Development, and Evaluation system. Random-effects models were used to metaanalyze the associations.

RESULTS

Twelve studies were included in the systematic review, of which nine were suitable for metaanalysis, with a combined cohort of 1,109 patients. Risk of bias was low to moderate. The overall analysis showed a significant positive association between OSA and FES (OR = 1.89, 95% CI = 1.27-2.83, I 2 = 44%). Further analysis revealed that the more severe the OSA was, the higher the risk of developing FES. Patients with severe OSA had the nominally highest risk of developing FES (OR = 3.06, 95% CI = 1.62-5.78, I 2 = 0%), followed by moderate OSA (OR = 2.53, 95% CI = 1.29-4.97, I 2 = 0%), and patients with mild OSA had the lowest risk (OR = 1.76, 95% CI = 0.85-3.62, I 2 = 0%).

CONCLUSION

Our metaanalysis reports a positive association between OSA and FES, with increasing severity of OSA correlating with a significantly higher risk of FES. More longitudinal studies with sufficient duration of follow-up are needed to better characterise the relationship between OSA and FES.

Factors Associated With Undiagnosed Obstructive Sleep Apnea in Overweight and Obese High-Tech Employees: A Multisite Cross-Sectional Study

Background: Being overweight or obese is regarded as crucial risk factors for obstructive sleep apnea (OSA). Objectives: This study aimed to determine the influencing factors of overweight and obese employees with OSA in high-tech workplaces. Methods: A cross-sectional study design was employed. A total of 491 overweight and obese participants were recruited from a large-scale electronics industry. The Chinese version of Pittsburgh Sleep Quality Index, the Epworth Sleep Scale, and a portable sleep monitoring device were used for data collection. Logistic regression analysis was conducted to identify the factors affecting overweight and obese employees with OSA. This study was conducted from August 2019 to July 2020. Results: 60.5% of the overweight and obese participants were found to have OSA, of which 58.9% had mild and 18.5% had severe OSA, respectively. The results showed that age, neck circumference, snoring, and habitual drinking were the crucial factors affecting OSA. Remarkably, age and snoring times showed a significant correlation in predicting OSA of different severities. Neck circumference was an independent risk factor for moderate and severe OSA. Conclusion: More than 60% of the overweight and obese high-tech workplace employees were found to have OSA. We found that the older the age, the larger the neck circumference, a higher number of snoring instances, and drinking were important risk factors for predicting OSA in overweight high-tech employees. The healthcare providers should actively educate OSA-related information for employees in the workplace, and promote high-risk OSA groups to adopt screening based on at-home sleep apparatus.

Diagnostic Performance of Machine Learning-Derived OSA Prediction Tools in Large Clinical and Community-Based Samples

BACKGROUND

Prediction tools without patient-reported symptoms could facilitate widespread identification of OSA.

RESEARCH QUESTION

What is the diagnostic performance of OSA prediction tools derived from machine learning using readily available data without patient responses to questionnaires? Also, how do they compare with STOP-BANG, an OSA prediction tool, in clinical and community-based samples?

STUDY DESIGN AND METHODS

Logistic regression and machine learning techniques, including artificial neural network (ANN), random forests (RF), and kernel support vector machine, were used to determine the ability of age, sex, BMI, and race to predict OSA status. A retrospective cohort of 17,448 subjects from sleep clinics within the international Sleep Apnea Global Interdisciplinary Consortium (SAGIC) were randomly split into training (n = 10,469) and validation (n = 6,979) sets. Model comparisons were performed by using the area under the receiver-operating curve (AUC). Trained models were compared with the STOP-BANG questionnaire in two prospective testing datasets: an independent clinic-based sample from SAGIC (n = 1,613) and a community-based sample from the Sleep Heart Health Study (n = 5,599).

RESULTS

The AUCs (95% CI) of the machine learning models were significantly higher than logistic regression (0.61 [0.60-0.62]) in both the training and validation datasets (ANN, 0.68 [0.66-0.69]; RF, 0.68 [0.67-0.70]; and kernel support vector machine, 0.66 [0.65-0.67]). In the SAGIC testing sample, the ANN (0.70 [0.68-0.72]) and RF (0.70 [0.68-0.73]) models had AUCs similar to those of the STOP-BANG (0.71 [0.68-0.72]). In the Sleep Heart Health Study testing sample, the ANN (0.72 [0.71-0.74]) had AUCs similar to those of STOP-BANG (0.72 [0.70-0.73]).

INTERPRETATION

OSA prediction tools using machine learning without patient-reported symptoms provide better diagnostic performance than logistic regression. In clinical and community-based samples, the symptomless ANN tool has diagnostic performance similar to that of a widely used prediction tool that includes patient symptoms. Machine learning-derived algorithms may have utility for widespread identification of OSA.

The influence of sex on anthropometric methods and four scales for screening obstructive sleep apnea

OBJECTIVES

Obstructive Sleep Apnea (OSA) is a kind of respiratory disease that occurs apnea repeatedly during sleep. The purpose of this study was to investigate the influence of sex on anthropometric methods and four scales for screening OSA.

METHODS

The basic data and PSG data of 2108 patients who underwent PSG examination at the Sleep Medicine Center of the First Affiliated Hospital of Guangzhou Medical University from July 2017 to December 2020 were continuously included. Then the sensitivity, specificity, positive predictive value, negative predictive value, AUC and DOR of the anthropometric method and the four scales were calculated.

RESULTS

2108 OSA patients were enrolled from the Sleep Medicine Center, including 1644 males (78.0%). The average neck circumference and waist circumference of male and female patients were respectively (39.4±3.4) cm and (96.7±13.8) cm,(34.6±3.5) cm and (90.1±11.6) cm. In female patients. the AUC of NoSAS was the largest. When AHI was 5, 15, and 30 evens/h as the cut-off point, in male patients, the sensitivity of NHR was the highest,in female patients, the sensitivity of WHR was the highest.

CONCLUSIONS

NHR and WHR are good tools for screening OSA in male and female patients respectively. They are worthy of promotion.

Time-dependence and comparison of regional and overall anthropometric features between Asian and Caucasian populations with obstructive sleep apnea: a cumulative meta-analysis

Background

Anthropometric measurements are simple and reachable tools for self-evaluating and screening patients with a high risk of obstructive sleep apnea (OSA). However, the accumulated relationship of obesity on the anthropometric characteristics of OSA is not well understood. The aim of the study was to show the time-dependent trend of OSA patients and compare overall and regional anthropometric between two ethnicities.

Methods

A cumulative meta-analysis was performed to assess obesity metrics in patients with and without OSA between Asians and Caucasians. We searched PubMed, Web of Science, Embase, and Scopus up to Jun 2020. Included studies used body mass index (BMI), neck circumference (NC), waist circumference (WC) and waist-to-hip ratio (WHR) as measures of anthropometric features in the adult OSA population and controls, utilized in-lab polysomnography or home sleep testing with apnea-hypopnea index (AHI) or respiratory disturbance index (RDI) classification, reported ethnicity/race, and were published in English. Any studies lacking one of these criteria or sufficient data were excluded.

Results

Forty studies with a total of 19,142 subjects were investigated. Comparison of changes between patients with and without OSA showed that OSA patients had a higher BMI [mean difference (MD) 3.12, 95% confidence interval (CI): 2.51–3.73], NC (MD 3.10, 95% CI: 2.70–3.51), WC (MD 9.84, 95% CI: 8.42–11.26) and waist-hip ratio (MD 0.04, 95% CI: 0.03–0.05) than the control subjects. The accumulated time-dependent increase in population with OSA was significantly apparent with all anthropometric features. BMI increased from 2000 (MD 0.50) to 2012 (MD 3.08–3.48) and remained stable afterwards (MD 2.70–3.17), NC increased from 2000 (MD 0.40) to 2013 (MD 3.09) and remained stable afterwards too (MD 3.06–3.21). WC increased from 2000 (MD 2.00) to 2012 (MD 9.37–10.03) and also remained stable afterwards (MD 8.99–9.84). WHR was stable from 2000 to 2004 with an MD of 0.01 and then stable from 2007 onwards with an increased MD of 0.03–0.04. Compared with Caucasian patients, Asian patients had lower obesity relevant variates.

Conclusions

BMI, NC, WC and WHR are associated with OSA in both ethnic groups. Anthropometry for overall and regional obesity could facilitate differentiation of patients with OSA from individuals without OSA by ethnicity.

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

Background: High neck circumference (NC) is associated with high burden diseases in Latin American and the Caribbean (LAC). NC complements established anthropometric measurements for early identification of cardio-metabolic and other illnesses. However, evidence about NC has not been systematically studied in LAC. We aimed to estimate the mean NC and the prevalence of high NC in LAC.

Methods: We conducted a systematic review in MEDLINE, Embase, Global Health and LILACS. Search results were screened and studied by two reviewers independently. To assess risk of bias of individual studies, we used the Hoy et al. scale and the Newcastle-Ottawa scale. We conducted a random-effects meta-analysis.

Results: In total, 182 abstracts were screened, 96 manuscripts were reviewed and 85 studies (n= 51,978) were summarized. From all the summarized studies, 14 were conducted in a sample of the general population, 23 were conducted with captive populations and 49 studies were conducted with patients. The pooled mean NC in the general population was 35.69 cm (95% IC: 34.85cm-36.53cm; I²: 99.6%). In our patient populations, the pooled mean NC in the obesity group was 42.56cm (95% CI 41.70cm-43.42cm; I²: 92.40%). Across all studied populations, there were several definitions of high NC; thus, prevalence estimates were not comparable. The prevalence of high NC ranged between 37.00% and 57.69% in the general population. The methodology to measure NC was not consistently reported.

Conclusions: Mean NC in LAC appears to be in the range of estimates from other world regions. Inconsistent methods and definitions hamper cross-country comparisons and time trend analyses. There is a need for consistent and comparable definitions of NC so that it can be incorporated as a standard anthropometric indicator in surveys and epidemiological studies.

Floppy eyelid, an under-diagnosed syndrome: a review of demographics, pathogenesis, and treatment

Floppy eyelid syndrome (FES) is a frequent eyelid disorder characterized by eyelid laxity that determines a spontaneous eyelid eversion during sleep associated with chronic papillary conjunctivitis and systemic diseases. FES is an under-diagnosed syndrome for the inaccuracy of definition and the lack of diagnostic criteria. Eyelid laxity can result from a number of involutional, local, and systemic diseases. Thus, it is pivotal to use the right terminology. When the increased distractibility of the upper or lower eyelid is an isolated condition, it is defined as ‘lax eyelid condition’ (LAC). When laxity is associated with ocular surface disorder such as papillary conjunctivitis and dry eyes, it can be referred to as ‘lax eyelid syndrome’ (LES). However, FES is characterized by the finding of a very loose upper eyelid which everts very easily and papillary tarsal conjunctivitis affecting a specific population of patients, typically male, of middle age and overweight. Obesity in middle-aged male is also recognized as the strongest risk factor in obstructive sleep apnea-hypopnea syndrome, (OSAHS). FES has been reported as the most frequent ocular disorder associated with OSAHS. Patients with FES often complain of non-pathognomonic ocular signs and symptoms such as pain, foreign body sensation, redness, photophobia, and lacrimation. Due to these clinical features, FES is often misdiagnosed while an early recognition might be important to avoid its chronic, distressing course and the associated morbidities. This review provides an updated overview on FES by describing the epidemiology, proposed pathogenesis, clinical manifestations, related ocular, and systemic diseases, and treatment options.

Assessment of Neck Grasp as a Screening Tool for Identifying Obstructive Sleep Apnea in Community-Dwelling Older Adults

Background

Inability to encircle the neck by hands (neck grasp) has been proposed as an indicator of obstructive sleep apnea (OSA) that would be useful for recognition of candidates for polysomnography (PSG). We assessed the value of neck grasp for predicting OSA in community-dwelling older adults of Amerindian ancestry.

Methods

Neck grasp was evaluated in individuals aged ≥60 years undergoing PSG. The association between neck grasp and OSA was assessed by logistic regression models adjusted for relevant covariates. Mediation analysis was used to establish the proportion of the effect of the association between neck grasp and OSA, which is mediated by the neck circumference (a well-known OSA biomarker). Receiver operator characteristics curve analysis was used to estimate diagnostic accuracy of neck grasp for predicting OSA.

Results

Of 201 individuals undergoing PSG, 167 (83%) had the neck grasp test. The remaining 34 could not perform the test because of different factors. Neck grasp was positive in 127 (76%) cases, and 114 (68%) individuals had OSA (apnea-hypopnea index ≥5). Multivariate logistic regression models disclosed a significant association between neck grasp and OSA. The neck circumference was the single covariate remaining independently significant in these models. Neck grasp was not efficient at predicting OSA (sensitivity: 83.3%, specificity: 39.6%, positive predictive value: 0.75 and negative predictive value: 0.53). The area under the curve disclosed only a moderate predictive capability (61.5%) of neck grasp.

Conclusion

Results do not support the use of neck grasp as an independent predictor of OSA in the study population.

[Risk factors for obstructive sleep apnea in socio-demographic groups of the population of Chuvashia]

OBJECTIVE

To study risk factors (RF) of obstructive sleep apnea syndrome (OSAS) in the socio-demographic groups of the population of Chuvashia.

MATERIALS AND METHODS

An anonymous survey included 2161 residents of Chuvashia (1007 men, 1154 women), aged from 18 to 70 years, average 36.5±13.8 years). Of all included people, 1547 (71.6%) lived in urban settlements, 614 (28.4%) in rural settlements. Exclusion criteria were those under the age of 18 and over 70. Body mass index (BMI) of more than 35 kg/m², neck circumference of more than 43 cm for men or more than 37 cm for women, snoring, fatigue/drowsiness during the day, respiratory arrest in sleep and high blood pressure (BP) were considered as SOAS RF. The likelihood of OSAS was determined by the Lausanne NoSAS (Neck circumference, Obesity, Snoring, Age, Sex) test.

RESULTS

RF OSAS were present in 63.4% of respondents. 2.4% of respondents had a BMI of more than 35 kg/m², 162% had a large neck circumference. Snoring was detected in 24.4%, fatigue/drowsiness during the day in 42.2%, respiratory arrest in sleep in 8.1%, increased BP in 19.7%. In men, compared with women, the number of respondents with a high BMI, snoring, and respiratory failure in a dream was significantly larger; women with a large neck size and complaints of fatigue/drowsiness prevailed. The rural residents had more RF OSAS, including higher BMI, large neck circumference and snoring. The probability of OSAS according to the NoSAS score was 13.65%, including 21.35% of men and 6.93% of women, 11.38% of urban- and 19.38% of rural residents. Multivariate regression analysis showed that the OSAS prediction model included gender, age, BMI, the RF sum of four questions from the questionnaire, neck circumference and level of education with a probability of 99.99%.

CONCLUSION

RF OSAS are widespread in the population of Chuvashia, which requires intensification of preventive measures to minimize them and the development of somnological service in the Republic.

The incidence of non-Hodgkin lymphoma is increased in patients with obstructive sleep apnea

Obstructive sleep apnea (OSA) is known to be associated with several cancers, but studies assessing the association between OSA and lymphoma have not been conducted yet. This study aimed to investigate the associations between OSA and non-Hodgkin lymphoma, which accounts for the majority of lymphoma, using the Korea National Health Insurance Service database. This retrospective cohort study analyzed the data from the Korea National Health Insurance Service database. A total of 198,574 patients aged ≥ 20 years who were newly diagnosed with OSA between 2007 and 2014 were included. The control group comprising 992,870 subjects was selected using propensity score matching by age and sex. The mean follow-up duration was 4.8 ± 2.3 years. The primary endpoint was newly diagnosed non-Hodgkin lymphoma. The hazard ratio [95 % confidence interval] of OSA for the incidence of non-Hodgkin lymphoma was calculated based on Cox proportional hazard model. The incidence of non-Hodgkin lymphoma among patients with OSA was significantly higher than that among the controls (1.40 [1.16-1.69]). In particular, the incidence was higher in women than that in men (1.62 vs. 1.28). There was no difference in hazard ratio by age. In conclusion, OSA may be a risk factor for non-Hodgkin lymphoma.

Global burden of sleep-disordered breathing and its implications

One-seventh of the world's adult population, or approximately one billion people, are estimated to have OSA. Over the past four decades, obesity, the main risk factor for OSA, has risen in striking proportion worldwide. In the past 5 years, the WHO estimates global obesity to affect almost two billion adults. A second major risk factor for OSA is advanced age. As the prevalence of the ageing population and obesity increases, the vulnerability towards having OSA increases. In addition to these traditional OSA risk factors, studies of the global population reveal select contributing features and phenotypes, including extreme phenotypes and symptom clusters that deserve further examination. Untreated OSA is associated with significant comorbidities and mortality. These represent a tremendous threat to the individual and global health. Beyond the personal toll, the economic costs of OSA are far-reaching, affecting the individual, family and society directly and indirectly, in terms of productivity and public safety. A better understanding of the pathophysiology, individual and ethnic similarities and differences is needed to better facilitate management of this chronic disease. In some countries, measures of the OSA disease burden are sparse. As the global burden of OSA and its associated comorbidities are projected to further increase, the infrastructure to diagnose and manage OSA will need to adapt. The use of novel approaches (electronic health records and artificial intelligence) to stratify risk, diagnose and affect treatment are necessary. Together, a unified multi-disciplinary, multi-organizational, global approach will be needed to manage this disease.

Nutritional Status and Dietary Patterns in Adults with Severe Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) is associated with daytime sleepiness, obesity, and lifestyle and dietary changes. The potential role of diet in OSA has been largely unexplored. The aim of the study was to assess nutritional status and dietary patterns in OSA patients. The study was conducted in 137 adult patients (48 women and 89 men) aged 31-79 suffering from OSA. The following diagnostic procedures were undertaken: polysomnography, anthropometric measurements, and a dietary pattern questionnaire. We found that 128 (93.4%) patients were overweight or obese with the mean body mass index (BMI) of 33.2 ± 6.1 kg/m² and weight of 98.0 ± 20.2 kg. The mean percentage of total body fat was 45.0 ± 5.5% in women and 32.5 ± 5.5% in men. Obesity was associated with the severity of OSA, expressed by apnea/hypopnea index. We further found that the waist-to-hip ratio in women, but the neck circumference or percentage of body fat in men, characterizes best the OSA patients. Referring to dietary habits, half of the patients consumed white bread on a daily basis, 35.8% of them had whole grain bread in the diet, and only 16.8% consumed fish at least two portions a week. A third of patients used butter as a spread for bread or a source of fat for cooking, 2.9% of them used soft margarine, and 20.4% used olive or canola oil. Fruits and vegetables were consumed by 60% and 38% of patients, respectively. Refined sugar and sweets were used by 31.4% of patients every day. We conclude that excessive body weight, which may portend the development of OSA, is characterized by different anthropometric variables in men and women. Further, improper dietary habits seem conducive to the gain in body weight and thus may be at play in the pathogenesis of OSA.

Obstructive sleep apnea and risk of aortic dissection: A meta-analysis of observational studies

Objectives Obstructive sleep apnea acts as a potential risk factor for the development of cardiovascular disease. We undertook collaborative meta-analyses to clarify the risk of aortic dissection among adults suffering obstructive sleep apnea. Methods A systematic search of the databases (PubMed, Embase, and Cochrane Library) was performed. Studies reporting on the association between obstructive sleep apnea and aortic dissection were included. Information on 424 cases of aortic dissection in 56,291 patients from one cohort, four case-controls, and two cross-sectional studies were included in this study. Results The summary suggested that patients with obstructive sleep apnea are associated with an overall significant 60% increase in the risk of aortic dissection, compared to unexposed patients (odds ratios 1.60; 95% confidence interval 1.01-2.53), with a significantly higher apnea-hypopnea index (mean difference 10.71; 95% confidence interval 7.46-13.96). Moreover, a greater relation was found between moderate-to-severe obstructive sleep apnea and aortic dissection (odds ratios 4.43; 95% confidence interval 2.59-7.59). Adverse outcomes obtained by sleep study such as oxygen desaturation index (mean difference 10.51; 95% confidence interval 7.54-13.48), average SaO₂ (-1.36; 95% confidence interval -2.63 to -0.09), and minimum SaO₂ (-3.63; 95% confidence interval -5.27 to -1.98) were correspondingly related to patients with aortic dissection. Conclusions Obstructive sleep apnea, especially moderate-to-severe obstructive sleep apnea, may impose an additional risk of suffering from aortic dissection with a potential mechanism including intermittent hypoxia.

Prevalence and risk factors of eye diseases in adult patients with obstructive sleep apnoea: results from the SLE.E.P.Y cohort study

OBJECTIVES

To assess the occurrence of glaucoma, eyelid, corneal and macular disorders in a cohort of patients with obstructive sleep apnoea (OSA) diagnosed by overnight polysomnography and to investigate into the risk factors for the above eye diseases (EDs).

DESIGN

Cross-sectional cohort study between 2014 and 2015.

SETTING

Unit of Respiratory Medicine and Eye Clinic of the University of Verona.

PARTICIPANTS

431 consecutive patients were considered eligible. Of these, 87 declined to participate, 35 were untraceable and 13 were deceased.

INTERVENTIONS

A complete ophthalmic evaluation of both eyes for each patient.

PRIMARY AND SECONDARY OUTCOME MEASURES

Best-corrected distance visual acuity, intraocular pressure, corneal, macular and optic nerve optical coherence tomography, ocular aberrometry, optic nerve laser polarimetry, visual field test, and eyelid examination.

RESULTS

296 patients aged 64.5±12.8 years, 23% female and 77% male, underwent ophthalmic examination. There was 56% (n=166) prevalence of eyelid disorders, 27% (n=80) of corneal disorders, 13% (n=39) of macular disorders and 11% (n=33) of glaucoma. Advancing age was not associated with the severity of OSA, while significant differences were found for gender, body mass index, Oxygen Desaturation Index, smoking habit, hypertension and diabetes. Severe OSA was significantly associated with glaucoma (OR, 95% CI 1.05 to 5.93, p=0.037).

CONCLUSIONS

EDs were more prevalent in our patinets with OSA than in the general population. Severe Apnoea/Hypopnoea Index level seemed to play a role as risk factor only for glaucoma.