Association Between Risk for Prediabetes and Type 2 Diabetes Mellitus Prevention Among Faculty Members and Administrative Staff of a Saudi University.

BACKGROUND: Diabetes mellitus prevalence continues to rise globally, causing disability and decreased productivity among patients, a significant strain on healthcare systems, and a burden on national economies. In 2021, diabetes will affect approximately 537 million adults. The rising prevalence of prediabetes worldwide also poses a significant public health threat, as it is estimated that by 2030, more than 470 million individuals will be prediabetic. OBJECTIVE: This study aimed to determine the association between the risk of prediabetes and the level of Type 2 Diabetes Mellitus (T2DM) prevention among faculty members and administrative staff of a Saudi university. METHODS: An analytic cross-sectional study design was utilized. The prediabetes risk of respondents was assessed using a risk test developed by the CDC, while the participants' diabetes prevention practices were determined using a researcher-developed questionnaire. Data were collected from 360 selected faculty members and administrative staff of three randomly selected health colleges and three non-health colleges at King Faisal University, Hofuf, Al-Ahsa, Saudi Arabia, between September 25 and October 13, 2022. The collected data were subjected to estimation of proportion and logistic regression analyses using Epi InfoTM version 7. RESULTS: Nearly 40% of respondents (39.72%, 95% CI: 34.80, 44.86) were found to be at high risk for prediabetes. The majority of university faculty and administrative staff consistently practiced T2DM preventive measures related to the limitation of processed food consumption, smoking cessation, and regular checking of weight and the nutritional value of food. However, there was poor T2DM prevention practice in terms of exercise, consumption of sweetened beverages, and stress reduction. Those who had a high prediabetes risk were 1.17 times more likely to engage in T2DM prevention practices. However, they were found to be 19% less likely to perform T2DM prevention practices when sociodemographic variables were held constant. CONCLUSION: Prediabetes risk was prevalent among Saudi university faculty and administrative staff. T2DM prevention was not consistently practiced by those who had a high risk for prediabetes. High prediabetes risk was negatively associated with the level of T2DM prevention.

Normative Data and Conversion Equation for Spectral-Domain Optical Coherence Tomography in an International Healthy Control Cohort.

BACKGROUND: Spectral-domain (SD-) optical coherence tomography (OCT) can reliably measure axonal (peripapillary retinal nerve fiber layer [pRNFL]) and neuronal (macular ganglion cell + inner plexiform layer [GCIPL]) thinning in the retina. Measurements from 2 commonly used SD-OCT devices are often pooled together in multiple sclerosis (MS) studies and clinical trials despite software and segmentation algorithm differences; however, individual pRNFL and GCIPL thickness measurements are not interchangeable between devices. In some circumstances, such as in the absence of a consistent OCT segmentation algorithm across platforms, a conversion equation to transform measurements between devices may be useful to facilitate pooling of data. The availability of normative data for SD-OCT measurements is limited by the lack of a large representative world-wide sample across various ages and ethnicities. Larger international studies that evaluate the effects of age, sex, and race/ethnicity on SD-OCT measurements in healthy control participants are needed to provide normative values that reflect these demographic subgroups to provide comparisons to MS retinal degeneration. METHODS: Participants were part of an 11-site collaboration within the International Multiple Sclerosis Visual System (IMSVISUAL) consortium. SD-OCT was performed by a trained technician for healthy control subjects using Spectralis or Cirrus SD-OCT devices. Peripapillary pRNFL and GCIPL thicknesses were measured on one or both devices. Automated segmentation protocols, in conjunction with manual inspection and correction of lines delineating retinal layers, were used. A conversion equation was developed using structural equation modeling, accounting for clustering, with healthy control data from one site where participants were scanned on both devices on the same day. Normative values were evaluated, with the entire cohort, for pRNFL and GCIPL thicknesses for each decade of age, by sex, and across racial groups using generalized estimating equation (GEE) models, accounting for clustering and adjusting for within-patient, intereye correlations. Change-point analyses were performed to determine at what age pRNFL and GCIPL thicknesses exhibit accelerated rates of decline. RESULTS: The healthy control cohort (n = 546) was 54% male and had a wide distribution of ages, ranging from 18 to 87 years, with a mean (SD) age of 39.3 (14.6) years. Based on 346 control participants at a single site, the conversion equation for pRNFL was Cirrus = -5.0 + (1.0 × Spectralis global value). Based on 228 controls, the equation for GCIPL was Cirrus = -4.5 + (0.9 × Spectralis global value). Standard error was 0.02 for both equations. After the age of 40 years, there was a decline of -2.4 µm per decade in pRNFL thickness ( P < 0.001, GEE models adjusting for sex, race, and country) and -1.4 µm per decade in GCIPL thickness ( P < 0.001). There was a small difference in pRNFL thickness based on sex, with female participants having slightly higher thickness (2.6 µm, P = 0.003). There was no association between GCIPL thickness and sex. Likewise, there was no association between race/ethnicity and pRNFL or GCIPL thicknesses. CONCLUSIONS: A conversion factor may be required when using data that are derived between different SD-OCT platforms in clinical trials and observational studies; this is particularly true for smaller cross-sectional studies or when a consistent segmentation algorithm is not available. The above conversion equations can be used when pooling data from Spectralis and Cirrus SD-OCT devices for pRNFL and GCIPL thicknesses. A faster decline in retinal thickness may occur after the age of 40 years, even in the absence of significant differences across racial groups.

The Role of Optical Coherence Tomography Criteria and Machine Learning in Multiple Sclerosis and Optic Neuritis Diagnosis.

BACKGROUND AND OBJECTIVES: Recent studies have suggested that intereye differences (IEDs) in peripapillary retinal nerve fiber layer (pRNFL) or ganglion cell + inner plexiform (GCIPL) thickness by spectral domain optical coherence tomography (SD-OCT) may identify people with a history of unilateral optic neuritis (ON). However, this requires further validation. Machine learning classification may be useful for validating thresholds for OCT IEDs and for examining added utility for visual function tests, such as low-contrast letter acuity (LCLA), in the diagnosis of people with multiple sclerosis (PwMS) and for unilateral ON history. METHODS: Participants were from 11 sites within the International Multiple Sclerosis Visual System consortium. pRNFL and GCIPL thicknesses were measured using SD-OCT. A composite score combining OCT and visual measures was compared individual measurements to determine the best model to distinguish PwMS from controls. These methods were also used to distinguish those with a history of ON among PwMS. Receiver operating characteristic (ROC) curve analysis was performed on a training data set (2/3 of cohort) and then applied to a testing data set (1/3 of cohort). Support vector machine (SVM) analysis was used to assess whether machine learning models improved diagnostic capability of OCT. RESULTS: Among 1,568 PwMS and 552 controls, variable selection models identified GCIPL IED, average GCIPL thickness (both eyes), and binocular 2.5% LCLA as most important for classifying PwMS vs controls. This composite score performed best, with area under the curve (AUC) = 0.89 (95% CI 0.85-0.93), sensitivity = 81%, and specificity = 80%. The composite score ROC curve performed better than any of the individual measures from the model (p < 0.0001). GCIPL IED remained the best single discriminator of unilateral ON history among PwMS (AUC = 0.77, 95% CI 0.71-0.83, sensitivity = 68%, specificity = 77%). SVM analysis performed comparably with standard logistic regression models. DISCUSSION: A composite score combining visual structure and function improved the capacity of SD-OCT to distinguish PwMS from controls. GCIPL IED best distinguished those with a history of unilateral ON. SVM performed as well as standard statistical models for these classifications. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that SD-OCT accurately distinguishes multiple sclerosis from normal controls as compared with clinical criteria.

Optimal intereye difference thresholds by optical coherence tomography in multiple sclerosis: An international study.

OBJECTIVE: To determine the optimal thresholds for intereye differences in retinal nerve fiber and ganglion cell + inner plexiform layer thicknesses for identifying unilateral optic nerve lesions in multiple sclerosis. Current international diagnostic criteria for multiple sclerosis do not include the optic nerve as a lesion site despite frequent involvement. Optical coherence tomography detects retinal thinning associated with optic nerve lesions. METHODS: In this multicenter international study at 11 sites, optical coherence tomography was measured for patients and healthy controls as part of the International Multiple Sclerosis Visual System Consortium. High- and low-contrast acuity were also collected in a subset of participants. Presence of an optic nerve lesion for this study was defined as history of acute unilateral optic neuritis. RESULTS: Among patients (n = 1,530), receiver operating characteristic curve analysis demonstrated an optimal peripapillary retinal nerve fiber layer intereye difference threshold of 5µm and ganglion cell + inner plexiform layer threshold of 4µm for identifying unilateral optic neuritis (n = 477). Greater intereye differences in acuities were associated with greater intereye retinal layer thickness differences (p ≤ 0.001). INTERPRETATION: Intereye differences of 5µm for retinal nerve fiber layer and 4µm for macular ganglion cell + inner plexiform layer are robust thresholds for identifying unilateral optic nerve lesions. These thresholds may be useful in establishing the presence of asymptomatic and symptomatic optic nerve lesions in multiple sclerosis and could be useful in a new version of the diagnostic criteria. Our findings lend further validation for utilizing the visual system in a multiple sclerosis clinical trial setting. Ann Neurol 2019;85:618-629.

Predictors of retinal atrophy in multiple sclerosis: A longitudinal study using spectral domain optical coherence tomography with segmentation analysis.

BACKGROUND: Multiple sclerosis is an inflammatory demyelinating disease characterized by progressive axonal loss affecting mainly the inner retinal layers. Optical coherence tomography (OCT) provides in-vivo quantification of the retinal layers and allows measuring progressive retinal changes. Our objective was to assess the longitudinal changes in the retina using spectral domain OCT (SDOCT) and to identify independent predictors affecting retinal thinning in MS patients. METHODS: A prospective study in a tertiary care MS center was conducted to study the longitudinal retinal changes in MS patients. All subjects underwent baseline and follow up OCT assessment with segmentation analysis. Regression analysis was performed to assess clinical factors (age, sex, disease duration, history of optic neuritis before baseline, non-ocular clinical relapses) and MRI disease activity during the follow-up period. RESULTS: The study included 102 MS patients with a mean follow-up duration of 3.9 ± SD years. At the last follow-up assessments, there were significant thinning of the average macular thickness (AMT) (p < .001), macular nerve fiber layer (MRNFL) (p < .001), ganglion cell-inner plexiform layer (GCIPL) (p < .001), and the peripapillary nerve fiber layer (PRNFL) (p < .001), compared to baseline. Early disease duration up to 10 years was associated with thinning of AMT, PRNFL, and GCIPL, while longer disease duration (> 15 years) was associated with only GCIPL thinning. Prior optic neuritis was predictive of more thinning of PRNFL (p = < .01), while MRI activity and female gender were significantly associated with more MRNFL thinning (p = < .01). CONCLUSION: MS is associated with longitudinal thinning affecting AMT inner retinal layers (MRNFL, GCIPL, PRNFL). Early disease duration, female gender, MRI activity, and prior optic neuritis were predictive of faster rate of neuro-axonal loss. This may have implications in the design of future therapeutic trials.

Optical coherence tomography segmentation analysis in relapsing remitting versus progressive multiple sclerosis.

INTRODUCTION: Optical coherence tomography (OCT) with retinal segmentation analysis is a valuable tool in assessing axonal loss and neuro-degeneration in multiple sclerosis (MS) by in-vivo imaging, delineation and quantification of retinal layers. There is evidence of deep retinal involvement in MS beyond the inner retinal layers. The ultra-structural retinal changes in MS in different MS phenotypes can reflect differences in the pathophysiologic mechanisms. There is limited data on the pattern of deeper retinal layer involvement in progressive MS (PMS) versus relapsing remitting MS (RRMS). We have compared the OCT segmentation analysis in patients with relapsing-remitting MS and progressive MS. METHODS: Cross-sectional study of 113 MS patients (226 eyes) (29 PMS, 84 RRMS) and 38 healthy controls (72 eyes). Spectral domain OCT (SDOCT) using the macular cube acquisition protocol (Cirrus HDOCT 5000; Carl Zeiss Meditec) and segmentation of the retinal layers for quantifying the thicknesses of the retinal layers. Segmentation of the retinal layers was carried out utilizing Orion software (Voxeleron, USA) for quantifying the thicknesses of individual retinal layers. RESULTS: The retinal nerve finer layer (RNFL) (p = 0.023), the ganglion-cell/inner plexiform layer (GCIPL) (p = 0.006) and the outer plexiform layer (OPL) (p = 0.033) were significantly thinner in PMS compared to RRMS. There was significant negative correlation between the outer nuclear layer (ONL) and EDSS (r = -0.554, p = 0.02) in PMS patients. In RRMS patients with prior optic neuritis, the GCIPL correlated negatively (r = -0.317; p = 0.046), while the photoreceptor layer (PR) correlated positively with EDSS (r = 0.478; p = 0.003). CONCLUSIONS: Patients with PMS exhibit more atrophy of both the inner and outer retinal layers than RRMS. The ONL in PMS and the GCIPL and PR in RRMS can serve as potential surrogate of disease burden and progression (EDSS). The specific retinal layer predilection and its correlation with disability may reflect different pathophysiologic mechanisms and various stages of progression in MS.

Retinal nerve fiber layer thickness and neurologic disability in relapsing-remitting multiple sclerosis.

OBJECTIVE: To assess the correlation between disability progression assessed by expanded disability status scale (EDSS) and peripapillary retinal nerve fiber layer thickness (RNFLT), macular thickness and macular volume obtained by spectral domain OCT (SDOCT) in patient with relapsing-remitting multiple sclerosis. METHODS: We conducted a cross sectional study by recruiting 104 with relapsing-remitting MS patients and 51 healthy controls. Patients' clinical characteristics and neurologic disability was recorded from the subject clinical records. All patients had complete neuro-ophthalmic and neurological assessments. SDOCT performed to obtain peripapillary RNFLT, macular thickness and volume. RESULTS: There was a statistically significant correlation between the mean EDSS scores and the average RNFLT (p = 0 .006; r = − 0.268) along with superior (p = 0.020; r = − 0.228), inferior (p = 0.007; r = − 0.262) and temporal (p = 0.031; r = − 0.212) quadrants. However, macular thickness (p = 0.205; r = − 0.125) and volume (p = 0.178; r = − 0.133) were not significantly correlated with EDSS scores. CONCLUSION: Our study showed a significant correlation between RNFLT and disability progression assessed by mean of EDSS in patients with relapsing-remitting MS. RNFLT can be a useful tool to estimate neurological disability in newly diagnosed patients or patients with early RRMS.

Sedative Drug Use among King Saud University Medical Students: A Cross-Sectional Sampling Study.

Introduction. Medical students experience significant psychological stress and are therefore at higher risk of using sedatives. There are currently no studies describing the prevalence of sedative drug use among medical students in Saudi Arabia. The aim of this study was to evaluate the prevalence and factors associated with sedative drug use among medical students in Saudi Arabia. Materials and Methods. A cross-sectional convenience sampling study gathered data by anonymous questionnaire from students enrolled at the King Saud University College of Medicine in 2011. The questionnaires collected data regarding social and demographic variables, sleep patterns, and the use of stimulant and sedative drugs since enrollment. Sedatives were defined as any pharmaceutical preparations that induce sleep. Results and Discussion. Of the 729 students who returned questionnaires, 17.0% reported sedative drug use at some time since enrollment. Higher academic year, lower grade point average, regular exercise, fewer hours of sleep per day, poorer quality of sleep, and the presence of sleeping disorders were found to be significantly associated with sedative drug use. Conclusions. Further study is required to increase our understanding of sedative drug use patterns in this relatively high-risk group, as such understanding will help in the development of early intervention programs.