The STOP-Bang Test Is Useful for Predicting the Severity of Obstructive Sleep Apnea

Weight reduction after bariatric surgery - Do results correlate with postoperative visit frequency?

Background

Consistent follow up after a bariatric surgery is considered vital to adequate and sustained weight reduction. This study examined the strength to which compliance with postsurgical appointments predicted an increase in total body weight loss percent (TBWL%) and change in body mass index (BMI) in a cohort of Illinois based surgical center patients.

Methods

Participants (n = 78) were patients with obesity who underwent bariatric surgery between 2019 and 2021. Patient preoperative weight and BMI, and postoperative weight and BMI at 3-month intervals for one year, and the number of visits were collected from chart review to calculate TBWL%, and change in BMI. Relationship between these factors and postoperative visit compliance were evaluated using linear regression to assess if it was a significant predictor of success.

Results

Follow up visit compliance had a weak positive association with increased TBWL% (Model R2 = 0.134, B = 0.011, p = 0.004) and a minimally stronger association with increased change in BMI (Model R2 = 0.229, B = 0.015, p = 0.0001).

Conclusions

Adherence with follow up visits was weakly related to improved weight reduction outcomes after bariatric surgery. Future investigations should consider how follow up visits can better influence a patient's success in sustaining achieved weight reduction.

Association between smoking and obstructive sleep apnea based on the STOP-Bang index

Smoking is a risk factor for respiratory diseases, and it worsens sleep quality due to nicotine stimulation and sudden nicotine withdrawal during sleep. This can increase the severity of OSA through alterations upper airway inflammation and neuromuscular function, arousal mechanisms, and sleep architecture. Therefore, it may lead to sleep-disrupted breathing, particularly obstructive sleep apnea (OSA). Herein, this study aims to research the association between smoking and OSA through the STOP-Bang index. In this study, total sample of 3442 participants (1465 men and 1977 women) were analyzed. We used data from the Korea National Health and Nutrition Examination Survey in 2020 by classifying adults into current, ex-, and non-smokers. A multiple logistic regression analysis was used to investigate the association between smoking and OSA. Furthermore, multinomial regression analysis was used to investigate the effect of smoking cessation. For males, compared to the non-smokers, the odds ratios (OR) for the OSA were significantly higher in the ex-smokers (OR: 1.53, 95% confidence interval(CI) 1.01-2.32) and current smokers (OR: 1.79, 95% CI 1.10-2.89). In females, higher ORs were observed for OSA risk, similar to the non-smokers, smoking cessation, and pack-years. Among men, OSA was significantly associated with a moderate risk for ex-smokers (OR: 1.61, 95% CI 1.05-2.48) and a severe risk for current smokers (OR: 1.88, 95% CI 1.07-3.29). This study observed that smoking might contribute to OSA risk among adults. Smoking cessation can help to manage sleep quality properly.

Associations of Chronic Diabetes Complications and Cardiovascular Risk with the Risk of Obstructive Sleep Apnea in Patients with Type 2 Diabetes

Background: Type 2 diabetes mellitus (T2DM) is associated with increased mortality and morbidity, including cardiovascular diseases and obstructive sleep apnea (OSA). The aim of this study was to assess the associations between cardiovascular risk, chronic diabetes complications and the risk of OSA in adult patients with T2DM. Methods: The study included 529 patients with T2DM in whom moderate-to-severe OSA risk was assessed using the STOP-Bang questionnaire, dividing the subjects into two groups: group 1: STOP-Bang score <5, and group 2: STOP-Bang score ≥5, respectively. In all the subjects, cardiovascular risk was assessed using the UKPDS risk engine. Statistical analysis was performed using SPSS 26.0, the results being statistically significant if p value was <0.05. Results: 59% of the subjects scored ≥5 on the STOP-Bang questionnaire. We recorded statistically significant differences between the two groups regarding diabetes duration, HbA1c, HOMA-IR, albuminuria, as well as cardiovascular risk at 10 years for both coronary heart disease (CHD) and stroke (p < 0.05). Furthermore, through logistic regression, adjusting for confounding factors, we demonstrated that the STOP-Bang score ≥ 5 is a risk factor for 10-year fatal and nonfatal CHD risk. Conclusions: It is extremely important to screen and diagnose OSA in patients with T2DM, in order to improve the primary and secondary prevention of cardiovascular events in these patients.

STOP-BANG QUESTIONNAIRE - AN EASY TOOL FOR IDENTIFYING OBSTRUCTIVE SLEEP APNEA SYNDROME IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

BACKGROUND

Patients with type 2 diabetes mellitus (T2DM) have a higher risk of developing obstructive sleep apnea (OSA) compared to the general population. Our study aims to analyze the usefulness of the STOP-BANG score, tool which was not yet validated in patients with diabetets, as a tool that estimates the severity of OSA, in patients with T2DM.

METHODS

120 patients, who answered the STOP-BANG questionnaire and underwent polysomnography, were included in the study. The patients were divided into 3 groups, depending on the severity of OSA, defined by the apnea/hypopnea index (AHI).

RESULTS

A significant percentage of participants (42.1%) had a severe form of OSA (AHI ≥30) and a high percentage of subjects had a STOP-BANG score ≥5 (58.7%), equivalent to a severe form of the disease. The STOP-BANG score increased proportionally with AHI (p<0.001). The area under the ROC curve for the STOP-Bang score indicated an optimal cut-off value of 4.5, with a sensitivity of 88.2% and a specificity of 62.9% (p <0.001), STOP-BANG score ≥5 being an independent predictor for severe OSA in patients with T2DM.

CONCLUSIONS

The STOP-BANG score can be used in patients with diabetes to detect severe OSA in order to establish appropriate therapeutic measures.

The correlation between the STOP-Bang score and oxygen saturation during spinal anesthesia with dexmedetomidine sedation

BACKGROUND

The STOP-Bang questionnaire is a simple screening tool with high sensitivity for the detection of severe obstructive sleep apnea. Predicting airway obstruction would allow the safe management of sedative patients to prevent intraoperative hypoxia. This study was designed to check the correlation between the STOP-Bang score and oxygen saturation (SpO2) during sedation and confirm the availability of the STOP-Bang questionnaire as a preoperative exam for predicting the incidence of hypoxia in sedative patient management.

METHODS

This study included 56 patients who received spinal anesthesia. The pre-anesthesia evaluation was conducted using the STOP-Bang questionnaire. The patients were under spinal anesthesia with an average block level of T10. Dexmedetomidine was infused with a loading dose of 1 μg/kg over 10 min and a maintenance dose of 0.5 μg/kg/h until the end of the procedure. The SpO2 of the patients was recorded every 5 min.

RESULTS

The STOP-Bang score was negatively correlated with the lowest SpO2 (coefficient = -0.774, 95% confidence interval [CI]: -0.855 to -0.649, standard error [SE] = 0.054, P < 0.001). The item of "observed apnea" was the most correlated one with hypoxic events (odds ratio = 6.00, 95% CI: 1.086 to 33.145).

CONCLUSIONS

The STOP-BANG score was significantly correlated with the lowest SpO2 during spinal anesthesia, which enabled the prediction of meaningful hypoxia before it occurred in the sedated patients.