OBJECTIVE: To localize and quantify geometric morphometric differences in facial soft tissue morphology in adults with and without OSA.
MATERIALS AND METHODS: Eighty adult Malays, consisting of 40 patients with OSA and 40 non-OSA controls, were studied. Both groups were evaluated by the attending physician and through ambulatory sleep studies. 3-D stereophotogrammetry was used to capture facial soft tissues of both groups. The 3-D mean OSA and control facial configurations were computed and subjected to principal components analysis (PCA) and finite-element morphometry (FEM).
RESULTS: The body mass index was significantly greater for the OSA group (32.3 kg/m(2) compared to 24.8 kg/m(2), p < 0.001). The neck circumference was greater for the OSA group (42.7 cm compared to 37.1 cm, p < 0.001). Using PCA, significant differences were found in facial shape between the two groups using the first two principal components, which accounted for 50% of the total shape change (p < 0.05). Using FEM, these differences were localized in the bucco-submandibular regions of the face predominantly, indicating an increase in volume of 7-22% (p < 0.05) for the OSA group.
CONCLUSION: Craniofacial obesity in the bucco-submandibular regions is associated with OSA and may provide valuable screening information for the identification of patients with undiagnosed OSA.
METHODS: Plasma SPM were measured in samples obtained from two double-blind controlled interventions. The first, included 51 women mean age 53 ± 1.5 years, undergoing breast surgery allocated to either intravenous saline, or dexamethasone (4 mg or 8 mg) after induction of anaesthesia. The second study included 31 women of mean age 44 ± 0.5 years undergoing laparoscopic gynecological surgery that were allocated to either saline, or dexamethasone (4 mg). SPM (18-HEPE, 17-HDHA, RvE2, RvD1 17R-RvD1 and RvD2) were measured in plasma collected prior to induction of anaesthesia and at 24 h, and 6 weeks post-surgery. Pain was assessed using a verbal analogue scale at discharge from the post-anaesthesia recovery unit. The data from each study was combined to examine the effect of dexamethasone on plasma SPM. The relationship between pain score and SPM was examined using ordinal logistic regression.
RESULTS: The SPM 18-HEPE, 17-HDHA, RvE2, RvD1 17R-RvD1 and RvD2 were detectable in all plasma samples. There was no significant difference in any SPM due to dexamethasone over the duration of the study. There was a fall in 17-HDHA between baseline and 24 h in both the dexamethasone and saline groups (P = 0.003) but no change in the downstream SPM (RvD1, 17R-RvD1 and RvD2) or 18-HEPE and RvE2. Pain score was negatively related to levels of RvE2 measured prior to induction of anaesthesia (rho = -0.2991, P = 0.006) and positively related to BMI (rho = 0.279, P = 0.011). In ordinal logistic regression the odds ratio for RvE2 was 0.931 (CI 0.880, 0.986; P = 0.014); after adjusting for the effect of BMI indicating that an increase in RvE2 of 1 pg/ml would result in a 6.9 % fall in pain score. Allocation to a dexamethasone group did not influence the pain score or the relationship between RvE2 and pain score.
CONCLUSION: Dexamethasone administered as an anti-emetic does not affect plasma SPM levels. An elevated RvE2 level prior to surgery is predictive of a lower perceived pain score post-anaesthesia.
METHODS: A cross-sectional study of consecutive Asian adults attending a primary healthcare setting was conducted. This study was conducted in 2 phases: The association between BMI and common FGIDs (functional diarrhea/FD, irritable bowel syndrome/IBS, functional diarrhea and functional constipation/FC) was studied initially. The influence of anxiety and depression on BMI and FGIDs was additionally explored in phase 2.
RESULTS: A total of 1002 subjects (median age 32 years, 65.4% females, 90.7% Malay ethnicity, 73.2% higher than secondary level education) were recruited between August 2019 to January 2020. The majority of subjects were obese (39.2%), and had central obesity (51.7%), while 6.1% had metabolic syndrome. The prevalence of FD, IBS, functional diarrhea and FC were 7.5% (n = 75), 4.0% (n = 40), 1.2% (n = 12) and 10.5% (n = 105) respectively, based on the Rome III criteria. Among individual FGIDs, FD subjects had more underweight adults (BMI<18.5kg/m2) compared to controls (13.3% vs 3.5%, P = 0.002) and being underweight remained as an independent association with FD [OR = 3.648 (95%CI 1.494-8.905), P = 0.004] at multi-variate analysis. There were no independent associations between BMI and other FGIDs. When psychological morbidity was additionally explored, anxiety (OR 2.032; 95%CI = 1.034-3.991, p = 0.040), but not depression, and a BMI<18.5kg/m2 (OR 3.231; 95%CI = 1.066-9.796, p = 0.038) were found to be independently associated with FD.
CONCLUSIONS: FD, but not other FGIDs, is associated with being underweight. This association is independent of the presence of anxiety.
METHODS: A systematic review was conducted to identify all relevant studies on the specific risk factors. Findings were summarized using a narrative synthesis and meta-analysis, where possible.
RESULTS: Overall 384 studies were included, mostly using cross-sectional designs. Findings indicated significantly increased risk of tinnitus among current (based on 26 studies) and ever smokers (based on 16 studies) and among obese people (based on seven studies), but no effect of alcohol consumption (based on 11 studies). With respect to caffeine intake or coffee drinking, only three studies examined this risk factor and so we were unable to draw conclusions.
CONCLUSION: Our results contribute to quantifying the relationship between tinnitus and specific lifestyle-related risk factors, and we highlight some of the gaps and inconsistencies across published studies.
OBJECTIVE: We hypothesized that people with a high BMI have altered plasma Aβ homeostasis compared with people with a lower BMI. We also tested whether reducing BMI by calorie-restriction could normalize plasma concentrations of Aβ.
METHODS: Plasma concentrations of Aβ40, Aβ42, and Aβ42/40 ratio were measured in 106 participants with BMIs classified as lean, overweight, or obese. From this cohort, twelve participants with overweight or obese BMIs entered a 12-week calorie-restriction weight loss program. We then tested whether decreasing BMI affected plasma Aβ concentrations.
RESULTS: Plasma Aβ42/40 ratio was 17.54% lower in participants with an obese BMI compared to lean participants (p
AIM: To determine the prevalence of HT and its risk factors in the elderly in that area.
METHODS: A cross-sectional study was conducted in a study area in the northern of Vietnam. We interviewed 354 adults aged 60 years or over who were randomly selected, and then measured their blood pressure.
RESULTS: The overall HT prevalence was 62.15%. The isolated systolic hypertension (ISH) prevalence was 22.88%. There was a slight decrease in the proportion of HT by stage 1, stage 2 and stage 3 respectively. The univariate and multivariate logistic regression analysis indicated some risk factors for HT including age groups, body mass index (BMI) and waist-hip ratio (WHR) (p
METHOD: Type 2 diabetes mellitus patients (n = 73) attending endocrine clinic at Universiti Kebangsaan Malaysia Medical Centre (UKMMC) were randomised to either control (n = 36) or intervention group (n = 37) after screening. Patients in the intervention group received an intervention from a pharmacist during the enrolment, after three and six months of the enrolment. Outcome measures such as HbA1c, BMI, lipid profile, Morisky scores and quality of life (QoL) scores were assessed at the enrolment and after 6 months of the study in both groups. Patients in the control group did not undergo intervention or educational module other than the standard care at UKMMC.
RESULTS: HbA1c values reduced significantly from 9.66% to 8.47% (P = 0.001) in the intervention group. However, no significant changes were noted in the control group (9.64-9.26%, P = 0.14). BMI values showed significant reduction in the intervention group (29.34-28.92 kg/m(2); P = 0.03) and lipid profiles were unchanged in both groups. Morisky adherence scores significantly increased from 5.83 to 6.77 (P = 0.02) in the intervention group; however, no significant change was observed in the control group (5.95-5.98, P = 0.85). QoL profiles produced mixed results.
CONCLUSION: This randomised controlled study provides evidence about favourable impact of a pharmacist led diabetes intervention programme on HbA1c, medication adherence and QoL scores amongst type 2 diabetes patients at UKMMC, Malaysia.