Utility of Screening Questionnaires to Detect Obstructive Sleep Apnea in Patients with Obesity.

BACKGROUND: Obesity is one of today's most concerning health problems due to increased cardiovascular risk, which is still the leading cause of death. Obstructive sleep apnea syndrome (OSAS) is certainly one of the important risk factors that links obesity and cardiovascular risk. There is a great need to evaluate obstructive sleep apnea (OSA) in obese patients. Today, there are easily available and applicable questionnaires (Epworth Sleepiness Scale (ESS), STOP, STOP-Bang (SBQ), Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI)) that could be very useful in clinical practice for this very purpose. The aim of this paper is to investigate the sensitivity and specificity of the questionnaires for OSA screening in obese patients with and without OSA. PATIENTS AND METHODS: This cross-sectional study was carried out in the tertiary healthcare centre. The following questionnaires were used: ESS, STOP, SBQ, ISI, PSQI. 70 (58 female) adult patients with obesity (body mass index (BMI) > 30 kg/m2) were included. RESULTS: SBQ showed sensitivity of 75%, specificity of 75% at cut-off of 5.5 with the Youden index of 0.5, while PSQI had sensitivity of 78%, specificity of 67% at cut-off of 17.75 with slightly smaller Youden index 0.45. STOP and ESS had a sensitivity of 77% and 75%, respectively but with an even smaller Youden index (0.23 and 0.21), and ISI had the lowest sensitivity of 59% and the lowest Youden index (0.13) of the questionnaires we examined. CONCLUSION: Our study results suggest that SBQ and PSQI are best screening tools in detecting OSA in patients with obesity. Further study of these questionnaires and possible modifications are certainly important for future research.

The association between the adrenergic hyperactivity and blood pressure values in people with multiple sclerosis.

OBJECTIVES: To evaluate the evolution of adrenergic baroreflex sensitivity (BRSa) over 2-year follow-up and to investigate the effect of baseline BRSa indices on blood pressure values after 2 years in people with multiple sclerosis (pwMS). METHODS: The following data were analysed at baseline and after 2 years: BRSa measured with BRSa1, α-BRSa and ß-BRSa, supine and tilted levels of epinephrine and norepinephrine, supine and tilted systolic and diastolic blood pressure levels. RESULTS: Compared to baseline values, there was no change in α-BRSa (6.96 ± 2.56 vs. 6.64 ± 2.24, p = 0.379) at month 24. α-BRSa at month 24 positively correlated with tilted levels of norepinephrine at month 24 (rp = 0.357, p = 0.005). Univariable linear regression analysis revealed that α-BRSa at baseline predicts the value of tilted systolic and diastolic blood pressure at month 24 (B = 2.724, 95% CI 1.357-4.091, p < 0.001 and B = 1.489, 95% CI 0.459-2.519, p = 0.005). CONCLUSION: This study provides further evidence for possible role of α-BRSa as a marker of adrenergic hyperactivity in pwMS. These results may explain increased risk for cardiovascular diseases in pwMS.

Adrenergic hyperactivity: a missing link between multiple sclerosis and cardiovascular comorbidities?

The aim of the study is to investigate differences in non-standard adrenergic baroreflex sensitivity (BRS) indices in patients with different phenotypes of multiple sclerosis (pwMS) and healthy controls (HC). Retrospective analysis of types of systolic blood pressure (BP) curves during Valsalva maneuver (VM) [balanced (BAR), augmented (AAR) and suppressed (SAR) autonomic responses] and adrenergic baroreflex sensitivity (BRSa) measured with BRSa1, α-BRSa and ß-BRSa in patients with clinically isolated syndrome (CIS), relapsing remitting multiple sclerosis (RRMS), progressive multiple sclerosis (PMS) and HC. We also investigated correlations between BRSa1, α-BRSa, ß-BRSa and resting catecholamine levels. pwMS had higher α-BRSa compared to HC (p = 0.02). There was no difference in BRSa1, s and ß-BRSa between patients with CIS, RRMS and PMS. There was no association between pwMS and HC, and the type of sBP curve [χ2 = 4.332, p = 0.114]. pwMS and BAR or AAR had higher supine systolic and diastolic BP compared to pwMS and SAR. There was a significant correlation between α-BRSa and upright systolic BP (rp =0.194, p = 0.017), α-BRSa and norepinephrine (rs =0.228, p = 0.021), and BRSa1 and epinephrine (rs = 0.226, p = 0.040). pwMS and HC exhibit different alpha-adrenergic response to Valsalva maneuver. These results may explain the connection between MS and increased cardiovascular risk.