Transitioning from having no metabolic abnormality nor obesity to metabolic impairment in a cohort of apparently healthy adults.

INTRODUCTION: The global prevalence of metabolic syndrome and its association with increased morbidity and mortality has been rigorously studied. However, the true prevalence of "metabolic health", i.e. individuals without any metabolic abnormalities is not clear. Here, we sought to determine the prevalence of "metabolically healthy" individuals and characterize the "transition phase" from metabolic health to development of dysfunction over a follow-up period of 5 years. METHODS: We included 20,507 individuals from the Tel Aviv Sourasky Medical Center Inflammation Survey (TAMCIS) which comprises apparently healthy individuals attending their annual health survey. A second follow-up visit was documented after 4.8 (± 0.6) years. We defined a group of metabolically healthy participants without metabolic abnormalities nor obesity and compared their characteristics and change in biomarkers over time to participants who developed metabolic impairment on their follow-up visit. The intersections of all metabolic syndrome components and elevated high sensitivity C-reactive protein (hs-CRP) were also analyzed. RESULTS: A quarter of the cohort (5379 individuals, (26.2%) did not fulfill any metabolic syndrome criteria during their baseline visit. A total of 985 individuals (12.7% of returning participants) developed metabolic criteria over time with hypertension being the most prevalent component to develop among these participants. Individuals that became metabolically impaired over time demonstrated increased overlap between metabolic syndrome criteria and elevated hs-CRP levels. The group that became metabolically impaired over time also presented higher delta values of WBC, RBC, liver biomarkers, and uric acid compared with participants who were consistently metabolically impaired. LDL-C (low-density lipoprotein cholesterol) delta levels were similar. CONCLUSIONS: Roughly one-quarter of apparently healthy adults are defined as "metabolically healthy" according to current definitions. The transition from health to metabolic dysfunction is accompanied with active inflammation and several non-metabolic syndrome biomarkers. Aggressive screening for these biomarkers, blood pressure and hs-CRP might help identify apparently healthy individuals at increased risk of developing metabolic syndrome over time.

Oral insulin (ORMD-0801) in type 2 diabetes mellitus: A dose-finding 12-week randomized placebo-controlled study.

AIMS: To assess the safety and efficacy of multiple daily doses of oral insulin (ORMD-0801) in subjects with type 2 diabetes (T2DM) over 12 weeks. MATERIALS AND METHODS: Participants with T2DM on metformin or combination oral therapy with glycated haemoglobin (HbA1c) levels ≥ 7.5% (58 mmol/mol) were randomized to receive ORMD-0801 8 mg or 16 mg once (QD) or twice (BID) daily, or 32 mg QD, BID or three times daily (TID) over a 12-week period. RESULTS: A total of 373 subjects were randomized to active treatment or placebo (~60% male, age ~ 56 years, HbA1c 9%-9.8%; 75-84 mmol/mol). Placebo-adjusted HbA1c changes from baseline to Week 12 were observed with ORMD-0801 8 mg BID (-7.15 ± 3.57 mmol/mol [-0.65% ± 0.33%]; P = 0.046). However, a significant site interaction was observed in two sites. After excluding these, HbA1c reduction was observed with 8 mg QD (-0.81 ± 0.37%; -8.89 ± 4.01 mmol/mol; P = 0.028, n = 15), 8 mg BID (-0.82 ± 0.37%; -8.95 ± 4.08 mmol/mol; P = 0.029, n = 17), 32 mg QD (-0.54 ± 0.26%; -5.89 ± 2.78 mmol/mol;P = 0.036, n = 69) and 32 mg BID (-0.53 ± 0.26%; -5.80 ± 2.83 mmol/mol; P = 0.042, n = 68). No effect was observed with 16 mg QD (0.25 ± 0.37%; 2.76 ± 3.99 mmol/mol; P = 0.48, n = 18), 16 mg BID (-0.36 ± 0.40%; -3.97 ± P = 0.36, n = 15) or 32 mg TID (-0.45 ± 0.27%, -4.89 ± 2.90 mmol/mol; P = 0.093, n = 69). Continuous glucose monitor and serum glucose measurements showed similar trends but were not significant. ORMD-0801 was safe, well tolerated and not associated with weight gain or hypoglycaemia. CONCLUSIONS: Oral insulin (ORMD-0801) induced greater reductions in HbA1c when compared to placebo, and was safe and well tolerated in individuals with uncontrolled T2DM. The efficacy and safety findings support continued development of the 8-mg dose at bedtime, which is currently being evaluated in two Phase 3 trials.

Subcutaneous Semaglutide Use for Weight Management: Practice and Attitudes of Physicians in Israel.

BACKGROUND: In 2019, 1 mg subcutaneous semaglutide was registered for the treatment of diabetes in Israel. Recognition of its effect on weight has led to its use as a treatment for obesity. OBJECTIVES: To explore physicians' pre-therapy considerations, therapy practices, and attitudes regarding subcutaneous semaglutide for weight loss. METHODS: A 22-item questionnaire was disseminated to physicians who prescribed semaglutide 1-mg for weight loss using an authorized off-label path. RESULTS: In total, 127 physicians completed the questionnaire. As for pretreatment requirements, in the absence of diabetes, 30% requested a minimal body mass index of 30 kg/m2. Additional requirements were documented lifestyle-change effort (67%) and prior weight loss medication use (13%). Half of the physicians regarded calorie restriction, and 23% considered physical activity as necessary for weight loss while on therapy. As for dose, most physicians (78%) started with a 0.25-mg weekly injection, 57% doubled the dose monthly, and all others recommended doubling when side effects subsided. Regarding weight loss goal, 43% of the physicians set a personal goal with each patient while 26% limited the goal to 10% of initial weight. Fewer than 50% of physicians discussed treatment duration with their patients, and 52% of patients discontinued therapy in the first 3 months. The main reasons for discontinuation were price, lack of effect, and fear of long-term side effects. CONCLUSIONS: The diverse approaches regarding off-label use of semaglutide for weight reduction highlight the necessity to guide physicians and standardize treatment regimen.

Flash Glucose Monitoring in Israel: Understanding Real-World Associations between Self-Monitoring Frequency and Metrics of Glycemic Control.

OBJECTIVE: Flash glucose monitoring has been widely used in Israel for diabetes treatment and since 2018, the cost is reimbursed for all people with type 1 diabetes nationally. In the current study, we present the daily scanning behavior for FreeStyle Libre users in Israel and how this was associated with a range of metrics for glycemic assessment. METHODS: Deidentified data from FreeStyle Libre readers were collected between September 2014 and October 2020. Scan-rate data from Israel was extracted and sorted into 10 equal-sized groups based on scan frequency. The glucose parameters derived for each group were: estimated HbA1c (eA1c), time in range (TIR) between 70 and 180 mg/dL, and time with glucose levels of <70 mg/dL, <54 mg/dL, and >180 mg/dL. RESULTS: The data set for Israel included 12 370 readers, with data from 131 639 separate glucose sensors representing 152 million automatically recorded individual glucose readings. Users performed an average of 15 daily glucose scans, ranging from a mean of 4.1 scans per day (lowest, 10%), rising to a mean of 38.7 scans/day (highest, 10%) (median, 12; IQR, 8-18 for all readers). As the scan rates increased, the eA1c decreased from 7.6% to 6.7% (P < .001). Mean TIR increased from 56.9% to 70.0% with increasing scan rates (P < .001). Concordantly, time with glucose levels of >180 mg/dL and <54 mg/dL decreased from 37.2% to 23.6% (P < .001) and from 2.23% to 1.99%, respectively, as scan frequency increased. CONCLUSION: In Israel, people with diabetes under real-world conditions record higher rates of FreeStyle Libre scanning. These are associated with improvements in TIR, eA1c, and reduced time with glucose levels of >180 mg/dL or <54 mg/dL.

Haemoglobin A1c is a predictor of COVID-19 severity in patients with diabetes.

AIM: Poor outcomes of coronavirus disease 2019 (COVID-19) have been linked to diabetes, but its relation to pre-infection glycaemic control is still unclear. MATERIALS AND METHODS: To address this question, we report here the association between pre-infection Haemoglobin A1c (HbA1c) levels and COVID-19 severity as assessed by need for hospitalization in a cohort of 2068 patients with diabetes tested for COVID-19 in Leumit Health Services (LHSs), Israel, between 1 February and 30 April 2020. Using the LHS-integrated electronic medical records system, we were able to collect a large amount of clinical information including age, sex, socio-economic status, weight, height, body mass index, HbA1c, prior diagnosis of ischaemic heart disease, depression/anxiety, schizophrenia, dementia, hypertension, cerebrovascular accident, congestive heart failure, smoking, and chronic lung disease. RESULTS: Of the patients included in the cohort, 183 (8.85%) were diagnosed with COVID-19 and 46 were admitted to hospital. More hospitalized patients were female, came from higher socio-economic background and had a higher baseline HbA1c. A prior diagnosis of cerebrovascular accident and chronic lung disease conferred an increased risk of hospitalization but not obesity or smoking status. In a multivariate analysis, controlling for multiple prior clinical conditions, the only parameter associated with a significantly increased risk for hospitalization was HbA1c ≥ 9%. CONCLUSION: Using pre-infection glycaemic control data, we identify HbA1c as a clear predictor of COVID-19 severity. Pre-infection risk stratification is crucial to successfully manage this disease, efficiently allocate resources, and minimize the economic and social burden associated with an undiscriminating approach.

Efficacy and safety of 28-day treatment with oral insulin (ORMD-0801) in patients with type 2 diabetes: A randomized, placebo-controlled trial.

AIM: To assess the safety and efficacy of oral insulin (ORMD-0801) in patients with type 2 diabetes (T2D). MATERIALS AND METHODS: After a 2-week washout of other medications, adult metformin-treated patients with T2D were randomized to receive placebo or 16 or 24 mg ORMD-0801, once daily, at bedtime, for 28 days. The mean change from baseline weighted mean night-time glucose levels was determined from 2 nights of continuous glucose monitoring (CGM) recordings during the placebo run-in and last week of treatment. RESULTS: In total, 188 patients (HbA1c: 7.82% ± 0.88% [placebo] and 8.08% ± 1.11% [pooled ORMD-0801 group]) were enrolled. In the placebo group, mean night-time CGM increased from baseline by 13.7 ± 26.1 mg/dL, whereas the increase was significantly smaller in the pooled ORMD-0801 group (1.7 ± 23.5 mg/dL, P = .0120). Glycaemic control variables (24-hour, fasting and daytime CGM glucose) also displayed smaller increases with ORMD-0801 versus placebo. Change from baseline HbA1c was -0.01% in the pooled ORMD-0801 group versus +0.20% in the placebo group (P = .0149). ORMD-0801 was well tolerated, with similar adverse event and hypoglycaemia rates as placebo. CONCLUSIONS: In patients with T2D, bedtime ORMD-0801 curbed increases in night-time glycaemia, 24-hour glycaemia and HbA1c, without increasing the risk of hypoglycaemia or safety events compared with the control arm.

[HEMOGLOBIN A1C AND MORTALITY FROM COVID-19].

INTRODUCTION: People with diabetes mellitus are at increased risk of developing a more severe disease or death when contracting coronavirus disease 2019 (COVID-19 ) but the effect of pre-COVID-19 infection glycemic control on disease outcomes is still unclear. In a previous study that we published from Leumit Health Services (LHS) including 183 patients with diabetes, pre-COVID-19 infection HbA1c>9% was associated with the need for hospitalization during the disease. In the current study we present the clinical characteristics of patients who died from COVID-19 in LHS and demonstrate a significant link to pre-infection HbA1c. METHODS: We collected demographic, clinical and laboratory information regarding all patients insured in LHS who contracted COVID-19 between 1st February and 31st May 2020 and had diabetes or pre-diabetes. To better understand the contribution of pre-infection glycemic control on COVID-19 mortality we conducted a case control study at a 1:5 ratio between patients who had died and survivors, adjusting for age, sex and socioeconomic status. RESULTS: We identified 888 patients of whom 24 (2.7%) died from COVID-19 . Patients who died were older, had more chronic disease, higher HbA1c and creatinine and lower hemoglobin, iron and vitamins B12 and D. In the case control study, patients who died had more obesity, dementia, cerebrovascular disease, congestive heart failure, use of SGLT-2 inhibitors and fewer smokers. In a multivariate logistic regression analysis we found that HbA1c and prior cerebrovascular disease significantly increased the risk of death and normal levels of vitamin D, iron and an estimated glomerular filtration rate >60ml/min were associated with a protective effect. CONCLUSIONS: Pre- COVID-19 HbA1c levels and prior cerebrovascular disease are associated with an increased risk of mortality. Identifying pre-infection clinical parameters which predict COVID-19 mortality may improve risk stratification and vaccine prioritization for at-risk populations. Further study is needed to understand the potential mechanism and causality of poor glycemic control on COVID-19 death.

Improving blood glucose level predictability using machine learning.

This study was designed to improve blood glucose level predictability and future hypoglycemic and hyperglycemic event alerts through a novel patient-specific supervised-machine-learning (SML) analysis of glucose level based on a continuous-glucose-monitoring system (CGM) that needs no human intervention, and minimises false-positive alerts. The CGM data over 7 to 50 non-consecutive days from 11 type-1 diabetic patients aged 18 to 39 with a mean HbA1C of 7.5% ± 1.2% were analysed using four SML models. The algorithm was constructed to choose the best-fit model for each patient. Several statistical parameters were calculated to aggregate the magnitudes of the prediction errors. The personalised solutions provided by the algorithm were effective in predicting glucose levels 30 minutes after the last measurement. The average root-mean-square-error was 20.48 mg/dL and the average absolute-mean-error was 15.36 mg/dL when the best-fit model was selected for each patient. Using the best-fit-model, the true-positive-hypoglycemia-prediction-rate was 64%, whereas the false-positive- rate was 4.0%, and the false-negative-rate was 0.015%. Similar results were found even when only CGM samples below 70 were considered. The true-positive-hyperglycemia-prediction-rate was 61%. State-of-the-art SML tools are effective in predicting the glucose level values of patients with type-1diabetes and notifying these patients of future hypoglycemic and hyperglycemic events, thus improving glycemic control. The algorithm can be used to improve the calculation of the basal insulin rate and bolus insulin, and suitable for a closed loop "artificial pancreas" system. The algorithm provides a personalised medical solution that can successfully identify the best-fit method for each patient.

Exenatide modulates visual cortex responses.

BACKGROUND: Increasing evidence suggests that metabolism affects brain physiology. Here, we examine the effect of GLP-1 on simple visual-evoked functional Magnetic Resonance Imaging (fMRI) responses in cortical areas. METHODS: Lean (n = 10) and nondiabetic obese (n = 10) subjects received exenatide (a GLP-1 agonist) or saline infusion, and fMRI responses to visual stimuli (food and nonfood images) were recorded. We analysed the effect of exenatide on fMRI signals across the cortical surface with special reference to the visual areas. We evaluated the effects of exenatide on the raw fMRI signal and on the fMRI signal change during visual stimulation (vs rest). RESULTS: In line with previous studies, we find that exenatide eliminates the preference for food (over nonfood) images present under saline infusion in high-level visual cortex (temporal pole). In addition, we find that exenatide (vs saline) also modulates the response of early visual areas, enhancing responses to both food and nonfood images in several extrastriate occipital areas, similarly in obese and lean participants. Unexpectedly, exenatide increased fMRI raw signals (signal intensity during rest periods without stimulation) in a large occipital region, which were negatively correlated to BMI. CONCLUSIONS: In both lean and obese individuals, exenatide affects neural processing in visual cortex, both in early visual areas and in higher order areas. This effect may contribute to the known effect of GLP1 analogues on food-related behaviour.

The effect of circuit resistance training, empagliflozin or "vegeterranean diet" on physical and metabolic function in older subjects with type 2 diabetes: a study protocol for a randomized control trial (CEV-65 trial).

BACKGROUND: Treatment of the older diabetic individual comprises a therapeutic challenge. Currently little scientific evidence exists depicting the best approach to type 2 diabetes treatment in this growing sub-population of patients. The purpose of this study is to assess the effects of a modified plant-based Mediterranean diet ("vegeterranean" diet), circuit resistance training (CRT) and empagliflozin, separately or in combination, on body composition and physical function in older subjects with type 2 diabetes. The rationale for this study is to assess three interventions associated with a negative energy/caloric balance (increased caloric use in exercise, caloric restriction in the "vegeterranean" diet and caloric wasting by glycosuria with empagliflozin), their interaction and effect on body composition and physical function. METHODS: One hundred and twenty men and women ≥65 years of age with type 2 diabetes, and low levels of physical activity will be randomized (1:1:1 manner, gender stratified) for 10 weeks to one of 3 parallel arms: CRT consisting of 3 home sessions/week; ad-libitum plant-based Mediterranean diet (limited consumption of eggs, dairy and fish, avoidance of red meat and poultry) or empagliflozin 10 mg/day. After 10 weeks CRT will be added to the empagliflozin and diet arms for an additional 10 weeks. Allocation concealment and blinding of primary outcome assessors will be implemented. Efficacy will be determined by assessment of lean body mass, body weight, frailty and functional status, sarcopenia, HbA1c and quality of life questionnaires. Safety will be evaluated by routine monitoring of adverse events. This study was approved by the Tel-Aviv Sourasky Medical Center Institutional Review Board. DISCUSSION: The combination and comparison of these diverse interventions to metabolic control may lead to better understanding of their mechanism of action with potential clinical implications in older individuals. Also, this study will provide evidence of the effectiveness of these interventions on delaying the progression from diabetes to sarcopenia and/or frailty. TRIAL REGISTRATION: ClinicalTrials.gov PRS: NCT03560375 . Last registration date (last update): 06/06/2018. The trial was a-priori registered before actual recruitment of subjects.

Ertugliflozin plus sitagliptin versus either individual agent over 52 weeks in patients with type 2 diabetes mellitus inadequately controlled with metformin: The VERTIS FACTORIAL randomized trial.

AIM: To evaluate the efficacy and safety of ertugliflozin and sitagliptin co-administration vs the individual agents in patients with type 2 diabetes who are inadequately controlled with metformin. METHODS: In this study (Clinicaltrials.gov NCT02099110), patients with glycated haemoglobin (HbA1c) ≥7.5% and ≤11.0% (≥58 and ≤97 mmol/mol) with metformin ≥1500 mg/d (n = 1233) were randomized to ertugliflozin 5 (E5) or 15 (E15) mg/d, sitagliptin 100 mg/d (S100) or to co-administration of E5/S100 or E15/S100. The primary endpoint was change from baseline in HbA1c at Week 26. RESULTS: At Week 26, least squares mean HbA1c reductions from baseline were greater with E5/S100 (-1.5%) and E15/S100 (-1.5%) than with individual agents (-1.0%, -1.1% and -1.1% for E5, E15 and S100, respectively; P < .001 for all comparisons). HbA1c <7.0% (<53 mmol/mol) was achieved by 26.4%, 31.9%, 32.8%, 52.3% and 49.2% of patients in the E5, E15, S100, E5/S100 and E15/S100 groups, respectively. Fasting plasma glucose reductions were significantly greater with E5/S100 and E15/S100 compared with individual agents. Body weight and systolic blood pressure (SBP) significantly decreased with E5/S100 and E15/S100 vs S100 alone. Glycaemic control, body weight and SBP effects of ertugliflozin were maintained to Week 52. Genital mycotic infections were more common among ertugliflozin-treated patients compared with those treated with S100. Incidences of symptomatic hypoglycaemia and adverse events related to hypovolaemia or urinary tract infection were similar among groups. CONCLUSIONS: In patients with uncontrolled type 2 diabetes while using metformin, co-administration of ertugliflozin and sitagliptin provided more effective glycaemic control through 52 weeks compared with the individual agents.

Efficacy and safety of MK-1293 insulin glargine compared with originator insulin glargine (Lantus) in type 1 diabetes: A randomized, open-label clinical trial.

AIM: To compare the efficacy and safety of MK-1293 insulin glargine (Mk-Gla; 100 U/mL) with originator insulin glargine, Lantus (Sa-Gla), in people with type 1 diabetes mellitus (T1DM). MATERIALS AND METHODS: This phase 3, randomized, active-controlled, open-label, 52-week study (ClinicalTrials.gov NCT02059161) enrolled 508 people with T1DM (HbA1c ≤11.0%; 97 mmol/mol) taking basal and prandial insulin. Participants were randomized 1:1 to once-daily Mk-Gla (n = 245) or Sa-Gla (n = 263). Dose titration of basal insulin was by a pre-breakfast plasma glucose dosing algorithm. The primary efficacy objective was assessment of the non-inferiority of HbA1c change from baseline (margin of 0.40% [4.4 mmol/mol]) for Mk-Gla compared with Sa-Gla over 24 weeks. The primary safety objective was assessment of anti-insulin antibody development over 24 weeks. RESULTS: The least squares (LS) mean HbA1c change from baseline at week 24 was -0.62 (95% CI -0.79, -0.45)% (-6.8 [-8.7, -4.9] mmol/mol) and -0.66 (-0.82, -0.50)% (-7.2 [-9.0, -5.4] mmol/mol) for Mk-Gla and Sa-Gla. The LS mean HbA1c difference was 0.04 (-0.11, 0.19)% (0.4 [-1.2, 2.0] mmol/mol) for Mk-Gla minus Sa-Gla, meeting the primary and secondary objective criteria for non-inferiority and equivalence. Week 24 mean insulin glargine dose for Mk-Gla and Sa-Gla was 0.46 and 0.48 U/kg, respectively. Similarity of HbA1c response and basal insulin dose trajectory persisted over the 52 weeks. Safety and tolerability, including anti-insulin antibody responses, hypoglycaemia, adverse events and body weight, were similar between insulins over the 52-week study duration. CONCLUSIONS: Mk-Gla and Sa-Gla exhibited similar efficacy and safety over 52 weeks in people with T1DM. ClinicalTrials.gov: NCT02059161.

Efficacy and safety of the addition of ertugliflozin in patients with type 2 diabetes mellitus inadequately controlled with metformin and sitagliptin: The VERTIS SITA2 placebo-controlled randomized study.

AIMS: To assess ertugliflozin in patients with type 2 diabetes who are inadequately controlled by metformin and sitagliptin. MATERIALS AND METHODS: In this double-blind randomized study (Clinicaltrials.gov NCT02036515), patients (glycated haemoglobin [HbA1c] 7.0% to 10.5% [53-91 mmol/mol] receiving metformin ≥1500 mg/d and sitagliptin 100 mg/d; estimated glomerular filtration rate [eGFR] ≥60 mL/min/1.73 m2 ) were randomized to ertugliflozin 5 mg once-daily, 15 mg once-daily or placebo. The primary efficacy endpoint was change from baseline in HbA1c at Week 26; treatment was continued until Week 52. RESULTS: A total of 464 patients were randomized (mean baseline HbA1c, 8.0% [64.3 mmol/mol]; eGFR, 87.9 mL/min/1.73 m2 ). After 26 weeks, placebo-adjusted least squares (LS) mean changes in HbA1c from baseline were -0.7% (-7.5 mmol/mol) and -0.8% (-8.3 mmol/mol) for ertugliflozin 5 and 15 mg, respectively (both P < .001); 17.0%, 32.1% and 39.9% of patients receiving placebo, ertugliflozin 5 mg or ertugliflozin 15 mg, respectively, had HbA1c <7.0% (53 mmol/mol). Significant reductions in fasting plasma glucose, body weight (BW) and systolic blood pressure (SBP) were observed with ertugliflozin relative to placebo. The positive effects of ertugliflozin on glycaemic control, BW and SBP were maintained through Week 52. A higher incidence of genital mycotic infections was observed in male and female patients receiving ertugliflozin (3.7%-14.1%) vs placebo (0%-1.9%) through Week 52. The incidence of urinary tract infections, symptomatic hypoglycaemia and hypovolaemia adverse events were not meaningfully different across groups. CONCLUSIONS: Ertugliflozin added to metformin and sitagliptin was well-tolerated, and provided clinically meaningful, durable glycaemic control, BW and SBP reductions vs placebo over 52 weeks.

Efficacy and safety of MK-1293 insulin glargine compared with originator insulin glargine (Lantus) in type 2 diabetes: A randomized, open-label clinical trial.

AIM: To compare the efficacy and safety of MK-1293 insulin glargine (Mk-Gla) and Lantus (Sa-Gla) in people with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: This Phase 3, randomized, active-controlled, open-label, 24-week clinical trial (ClinicalTrials.gov number NCT02059187) enrolled 531 participants with T2DM (HbA1c ≤11.0%) either eligible for or currently taking basal insulin (≥10 U/day). Participants were randomized 1:1 to once-daily Mk-Gla (n = 263) or Sa-Gla (n = 263). Titration of insulin was guided by a fasting plasma glucose (FPG)-based dosing algorithm. The primary efficacy objective was to demonstrate the non-inferiority of change from baseline in HbA1c (margin of 0.40% [4.4 mmol/mol]) with Mk-Gla versus Sa-Gla after 24 weeks. The primary safety objective was anti-insulin antibody development after 24 weeks. RESULTS: For Mk-Gla and Sa-Gla, the least squares (LS) mean HbA1c change from baseline (95% CI) was -1.28 (-1.41, -1.15)% (-14.0 [-15.4, -12.6] mmol/mol) and -1.30 (-1.43, -1.18)% (-14.2 [-15.6, -12.8] mmol/mol). The LS mean HbA1c difference (Mk-Gla minus Sa-Gla) was 0.03 (-0.12, 0.18)% (0.3 [-1.4, 1.9] mmol/mol), meeting non-inferiority and equivalence (secondary objective) criteria. Insulin doses, FPG, and seven-point plasma glucose profiles were similar between groups. Safety and tolerability, including anti-insulin antibody responses, hypoglycaemia, adverse events and body weight, were similar between insulins. The efficacy and safety of Mk-Gla and Sa-Gla were similar both in participants who were insulin-treated or insulin-naïve at baseline. CONCLUSIONS: Mk-Gla and Sa-Gla demonstrated similar efficacy and safety over 24 weeks of treatment in people with T2DM.

Type 2 Diabetes Mellitus and Impaired Renal Function Are Associated With Brain Alterations and Poststroke Cognitive Decline.

BACKGROUND AND PURPOSE: Type 2 diabetes mellitus (T2DM) is associated with diseases of the brain, kidney, and vasculature. However, the relationship between T2DM, chronic kidney disease, brain alterations, and cognitive function after stroke is unknown. We aimed to evaluate the inter-relationship between T2DM, impaired renal function, brain pathology on imaging, and cognitive decline in a longitudinal poststroke cohort. METHODS: The TABASCO (Tel Aviv brain acute stroke cohort) is a prospective cohort of stroke/transient ischemic attack survivors. The volume and white matter integrity, ischemic lesions, and brain and hippocampal volumes were measured at baseline using 3-T MRI. Cognitive tests were performed on 507 patients, who were diagnosed as having mild cognitive impairment, dementia, or being cognitively intact after 24 months. RESULTS: At baseline, T2DM and impaired renal function (estimated creatinine clearance [eCCl] <60 mL/min) were associated with smaller brain and hippocampal volumes, reduced cortical thickness, and worse white matter microstructural integrity. Two years later, both T2DM and eCCl <60 mL/min were associated with poorer cognitive scores, and 19.7% of the participants developed cognitive decline (mild cognitive impairment or dementia). Multiple analysis, controlling for age, sex, education, and apolipoprotein E4, showed a significant association of both T2DM and eCCl <60 mL/min with cognitive decline. Having both conditions doubled the risk compared with patients with T2DM or eCCl <60 mL/min alone and almost quadrupled the risk compared with patients without either abnormality. CONCLUSIONS: T2DM and impaired renal function are independently associated with abnormal brain structure, as well as poorer performance in cognitive tests, 2 years after stroke. The presence of both conditions quadruples the risk for cognitive decline. T2DM and lower eCCl have an independent and additive effect on brain atrophy and the risk of cognitive decline. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01926691.

Sex difference in the risk for exercise-induced albuminuria correlates with hemoglobin A1C and abnormal exercise ECG test findings.

BACKGROUND: Albuminuria is an established marker for endothelial dysfunction and cardiovascular risk in diabetes and prediabetes. Exercise induced albuminuria (EiA) appears earlier and may be a more sensitive biomarker for renal endothelial damage. We sought to examine the association between EiA, parameters of the metabolic syndrome, A1C levels, exercise ECG test results and sex related differences in a large cohort of healthy, pre-diabetic and diabetic subjects. METHODS: A total of 3029 participants from the Tel-Aviv Medical Center Inflammation Survey cohort (mean age 46 years, 73% men) were analyzed. Multiple physiologic and metabolic parameters including A1C were collected and albuminuria was measured in all subjects before and immediately after completing an exercise ECG test. RESULTS: Exercise increased urinary albumin to creatinine ratio (ΔEiA) by 2.8 (0-13.6) mg/g for median (IQR) compared to rest albuminuria (p < 0.001). An increase in ΔEiA was observed with accumulating parameters of the metabolic syndrome. ΔEiA showed significant interaction with sex and A1C levels; i.e. women with A1C > 6.5% had an increased risk of higher ΔEiA (p < 0.001). Using a cutoff of ΔEiA > 13 mg/g (top quartile) we found that women with ΔEiA > 13 mg/g were at greater risk for abnormal exercise ECG findings, (OR = 2.7, p = 0.001). CONCLUSION: Exercise promotes excessive urinary albumin excretion in dysmetabolic patients. In women, a significant correlation exists between ΔEiA and A1C levels. A cutoff of ΔEiA > 13 mg/g in women may be used to identify populations at risk for abnormal exercise ECG test findings and perhaps increased cardiovascular risk. Future studies will be needed to further validate the usefulness of ΔEiA as a biomarker for cardiovascular risk in women with and without diabetes.

Clinical characteristics and healthcare utilisation associated with undiagnosed cognitive impairment in elderly patients with diabetes in a primary care setting: a population-based cohort study.

OBJECTIVES: The objective of this study is to report the prevalence, clinical characteristics and healthcare utilisation of patients with type 2 diabetes (T2DM) and previously undiagnosed cognitive impairment who were identified as having a low Montreal Cognitive Assessment (MoCA) score. DESIGN: A population-based cohort study comparing clinical characteristics, medications, outpatient and inpatient care of patients with a MoCA score <19 to MoCA >26 using descriptive statistics, linear regression and multivariate logistic regression. SETTING: Electronic medical records of a large health maintenance organisation in Israel. PARTICIPANTS: 350 patients, age >65 with T2DM who participated in a cognitive function screening initiative using MoCA, and had a follow-up visit during the 12 months after screening. RESULTS: 130 (37.1%) had a MoCA score >26 and 68 (19.4%) <19. Patients with MoCA<19 had more diabetes-related complications, poorer glycaemic and lipid control, fewer visits to their main primary care physician (PCP; 3.9±3.2 vs 7.3±4.2 visits/year p=0.008), shorter duration of PCP visits (8.3±4.5 vs 4.0±3.5 min, p=0.007), fewer nutritionist and endocrinologist visits, and lower participation in diabetes or smoking cessation workshops. They were less likely to be treated with glucagon-like peptide-1 (GLP-1) agonists, dipeptidyl peptidase-4 inhibitor (DPP-4), or sodium-glucose transport protein 2 (SGLT-2) inhibitors and more likely to receive insulin or sulfonylurea. Moreover, they had more emergency room visits (ER; 15 (11.5%) vs 16 (23.5%), p=0.019), hospitalisations (8 (6.2%) vs 22 (32.4%), p=0.001), and longer hospital stays (4.3±3.2 vs 14.5±9.8, p=0.001). Using statistical models, MoCA<19 was identified as a risk factor for fewer and shorter PCP visits and more ER visits and hospitalisations. CONCLUSIONS: This study highlights the high prevalence of undiagnosed severe cognitive impairment in elderly patients with T2DM and its association with poor outpatient care. Appropriate interventions are needed to improve outcomes and prevent hospitalisation in this high-risk population.

Expert Opinion on Current Trends in the Use of Insulin in the Management of People with Type 2 Diabetes from the South-Eastern European Region and Israel.

Despite the availability of various antihyperglycaemic therapies and comprehensive guidelines, glycaemic control in diabetes management has not improved significantly during the last decade in the real-world clinical setting. Treatment inertia arising from a complex interplay among patient-, clinician- and healthcare-system-related factors is the prime reason for this suboptimal glycaemic control. Also, the key factor leading to inadequate glycaemic levels remains limited communication between healthcare professionals (HCPs) and people with type 2 diabetes (PwT2D). Early insulin administration has several advantages including reduced glucotoxicity, high efficacy and preserved ß-cell mass/function, leading to lowering the risk of diabetes complications. The current publication is based on consensus of experts from the South-Eastern European region and Israel who reviewed the existing evidence and guidelines for the treatment of PwT2D. Herein, the experts emphasised the timely use of insulin, preferably second-generation basal insulin (BI) analogues and intensification using basal-plus therapy, as the most-potent glucose-lowering treatment choice in the real-world clinical setting. Despite an increase in the use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs), the experts urged timely insulin initiation for inadequate glycaemic control in PwT2D. Furthermore, the combination of BI and GLP-1 RA addressing both fasting plasma glucose and post-prandial excursions as a free- or fixed-ratio combination was identified to reduce treatment complexity and burden. To minimise discontinuation and improve adherence, the experts reiterated quality, regular interactions and discussions between HCPs and PwT2D/carers for their involvement in the diabetes management decision-making process. Clinicians and HCPs should consider the opinions of the experts in accordance with the most recent recommendations for diabetes management.

Identifying Diabetes Related-Complications in a Real-World Free-Text Electronic Medical Records in Hebrew Using Natural Language Processing Techniques.

BACKGROUND: Studies have demonstrated that 50% to 80% of patients do not receive an International Classification of Diseases (ICD) code assigned to their medical encounter or condition. For these patients, their clinical information is mostly recorded as unstructured free-text narrative data in the medical record without standardized coding or extraction of structured data elements. Leumit Health Services (LHS) in collaboration with the Israeli Ministry of Health (MoH) conducted this study using electronic medical records (EMRs) to systematically extract meaningful clinical information about people with diabetes from the unstructured free-text notes. OBJECTIVES: To develop and validate natural language processing (NLP) algorithms to identify diabetes-related complications in the free-text medical records of patients who have LHS membership. METHODS: The study data included 2.3 million records of 41 469 patients with diabetes aged 35 or older between the years 2012 and 2017. The diabetes related complications included cardiovascular disease, diabetic neuropathy, nephropathy, retinopathy, diabetic foot, cognitive impairments, mood disorders and hypoglycemia. A vocabulary list of terms was determined and adjudicated by two physicians who are experienced in diabetes care board certified diabetes specialist in endocrinology or family medicine. Two independent registered nurses with PhDs reviewed the free-text medical records. Both rule-based and machine learning techniques were used for the NLP algorithm development. Precision, recall, and F-score were calculated to compare the performance of (1) the NLP algorithm with the reviewers' comments and (2) the ICD codes with the reviewers' comments for each complication. RESULTS: The NLP algorithm versus the reviewers (gold standard) achieved an overall good performance with a mean F-score of 86%. This was better than the ICD codes which achieved a mean F-score of only 51%. CONCLUSION: NLP algorithms and machine learning processes may enable more accurate identification of diabetes complications in EMR data.

Hand Grip Strength Relative to Waist Circumference as a Means to Identify Men and Women Possessing Intact Mobility in a Cohort of Older Adults with Type 2 Diabetes.

Possessing intact mobility in older adults assures their continued independence. The early identification of reduced mobility in older adults with type 2 diabetes (T2DM) is paramount for preventing their future physical deterioration. Hand grip strength (HGS), relative to body size, is associated with mobility in older T2DM patients. This study aims to identify an HGS index that best identifies mobilityintact older T2DM patients, along with its optimal cut-off point. The baseline data are from a cohort of 122 older T2DM patients (59% women) (mean age of 70.2 ± 4.4 years). Three mobility tests encompassing three main mobility domains were measured, including usual gait speed (UGS), timed up and go (TUG), and a two-minute walk test (2MWT). Passing scores were defined as those either above the established cut-off points or above the 25th percentile of population norms. Passing all three tests was considered as possessing intact mobility. Receiver operating characteristic (ROC) curves of the most relevant HGS indices were constructed to determine the area under the curve (AUC) that best identifies patients with intact mobility. In a sample of 122 older adults with T2DM, 63.9% of women and 60% of men were found to possess intact mobility. HGS relative to waist circumference (WC) was found to have the strongest association with intact mobility, presenting the highest AUC in both men (0.78) and women (0.72) for discriminating mobility status, with an optimal cut-off of 0.355 (kg/cm) and 0.245 (kg/cm) in men and women, respectively. HGS relative to WC best differentiated between mobility-intact older adults with T2DM and those with mobility limitations, especially in men. Using HGS/WC as a simple and safe screening mode for mobility in a clinical setting could potentially identify older patients with T2DM that require therapeutic interventions.