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Introduction: Perioperative dysglycemia is associated with negative surgical outcomes, including increased risk of infections and longer hospital stays. Continuous glucose monitoring (CGM) provides real-time glucose data, potentially improving glycemic control during surgery. However, the performance of CGM in the intraoperative environment has not been well established. This scoping review aimed to evaluate the performance of CGM systems during the intraoperative period, focusing on their technical reliability, accuracy, adverse device effects, and efficacy. Inclusion criteria: Studies that assessed intraoperative CGM performance, focusing on technical reliability, accuracy, adverse effects, or efficacy, were included. No restrictions were placed on the study design, surgical type, participant demographics, or publication date. Methods: A comprehensive literature search was performed using PubMed, EMBASE, and the Cochrane Library, covering publications up to 12 June 2024. Two independent reviewers screened and selected the studies for inclusion based on predefined eligibility criteria. Data extraction focused on the study characteristics, CGM performance, and outcomes. Results: Twenty-two studies were included, the majority of which were prospective cohort studies. CGM systems demonstrated a high technical reliability, with sensor survival rates above 80%. However, the accuracy varied, with some studies reporting mean or median absolute relative differences of over 15%. The adverse effects were minimal and mainly involved minor skin irritation. One randomized trial found no significant difference between CGM and point-of-care glucose monitoring for glycemic control. Conclusions: Although CGM has the potential to improve intraoperative glycemic management, its accuracy remains inconsistent. Future research should explore newer CGM technologies and assess their impact on surgical outcomes.
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The use of antipsychotic drugs is associated with adverse metabolic effects. Disruptions in glucose metabolism such as hyperglycemia and insulin resistance have been shown to occur with antipsychotic use, independent of changes in body weight or adiposity. The regulation of whole-body glucose metabolism is partly mediated by the central nervous system (CNS). In particular, the hypothalamus and brainstem are responsive to peripheral energy signals and subsequently mediate feedback mechanisms to maintain peripheral glucose homeostasis. In this scoping review of preclinical in vivo studies, we aimed to explore central mechanisms through which antipsychotics dysregulate glucose metabolism. A systematic search for animal studies identified 29 studies that met our eligibility criteria for qualitative synthesis. The studies suggest that antipsychotic-induced changes in autonomic nervous system activity, certain neurotransmitter systems, expression of neuropeptides, and central insulin action mediate impairments in glucose metabolism. These findings provide insight into potential targets for the mitigation of the adverse effects of antipsychotics on glucose metabolism.
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BACKGROUND: Androgen-deprivation therapy (ADT) remains a cornerstone in treatment for patients with advanced prostate cancer. ADT is associated with several adverse effects, including osteoporosis, metabolic syndrome, and cardiovascular events, leading to guidelines recommending routine testing to monitor for these toxicities. There is a lack of data assessing adherence to these recommendations. METHODS: The authors conducted a retrospective cohort study using administrative data from Ontario, Canada between 2008 and 2021. They identified all older men (aged 65 years and older) who received ADT for prostate cancer using comprehensive provincial health databases. The primary outcomes were the use of testing for lipids, dysglycemia (glucose), bone health serum, and bone density between 6 weeks before and 1 year after the initiation of ADT. RESULTS: In total, 29,097 patients were examined, of whom 52.8% were prescribed ADT by urologists, 37.9% were prescribed ADT by radiation oncologists, 2.8% were prescribed ADT by medical oncologists, and 2.4% were prescribed ADT by other physicians. Adherence to guidelines was low: only 21.3% of patients received a bone density scan, 41.2% underwent bone health-related serum tests, 51.3% completed a lipid profile, and 65.9% underwent dysglycemia testing within 1 year of diagnosis. Overall, only 11.9% of patients received all of the recommended investigations. Adherence to testing did not appear to improve over time (2008-2021) or with guideline publication. Patient (age) and physician (specialty) factors had important associations with adherence to testing. CONCLUSIONS: Most patients receiving ADT for prostate cancer do not receive recommended testing to monitor for treatment-related toxicity. Further study is required to address barriers to therapeutic monitoring of men on ADT and to reduce treatment-associated adverse events.
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BACKGROUND: No study has investigated the association between ultra-processed food (UPF) and pre-diabetes development. Furthermore, prior investigations on the association between UPF and the risk of type 2 diabetes (T2D) were primarily conducted in Europe and America, and studies in other regions are lacking. We investigated the association between ultra-processed foods and the risk of pre-diabetes and T2D in a cohort of Iranians. METHODS: This prospective study, with a sample size of 1954 for pre-diabetes and 2457 for T2D, was conducted among adults' participants (aged ≥ 18 years) from the Tehran Lipid and Glucose Study (TLGS). We defined UPF intake using NOVA calcification as a proportion of total energy, and calculated its average intake during the follow-ups. The hazard ratios (HR) and 95% confidence intervals (95% CI) for pre-diabetes/T2D across tertiles of total UPF and per 10% of its increment were examined using Cox proportional hazards models. We also investigated the possibility of non-linear association using a restricted cubic spline regression. RESULTS: We identified 766 and 256 cases of pre-diabetes and T2D, respectively, during a median follow-up of 7 years for pre-diabetes and 8.6 years for T2D. In the multivariable adjusted model, a 10% increase in total UPF intake was associated with a 12% higher risk of pre-diabetes (HR = 1.12; 95% 1.02, 1.23). The incidence of pre-diabetes was also higher in those in tertile 3 than those in tertile 1 (HR = 1.28; 95% CI = 1.07, 1.52). Following additional adjustment for diet quality, the results remained unchanged. Spline regression demonstrated a J-shaped association between UPF and the risk of pre-diabetes; the risk of pre-diabetes did not increase until UPF consumption exceeded about 24% of total energy intake. Of the individual UPF, hydrogenated fat/mayonnaise/ margarine group was related to an increased risk of pre-diabetes. The total UPF and its individual items were not associated with T2D. CONCLUSIONS: This study found a positive, non-linear relationship between total UPF and the risk of pre-diabetes in Iranian adults. Our data could not show any significant association between UPF and T2D risk.
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AIMS: Both erectile dysfunction (ED) and diabetes (DM) are common health problems that share risk factors. The aim of this study was to investigate whether ED can predict glucose metabolism dysfunctions in men at the primary care level. METHODS: An 11-year population-based cohort study was conducted in men born between 1933 and 1956. The baseline survey was conducted in 2007-2008, with a follow-up examination 11 years later. The International Index of Erectile Function (IIEF-5) questionnaire was used to assess erectile function. Dysglycemia was evaluated using and a 2-hour oral glucose tolerance test (2hOGTT), in combination with health registry data. RESULTS: At baseline, men with ED but without a history of known DM exhibited a significantly higher prevalence of undetected DM, odds ratio (OR) 4.7 (95â¯% CI 1.6, 14.4), and preDM, OR 1.9 (1.1, 3.2), compared with men without ED. Over an 11-year follow-up period, a significantly increased cumulative incidence of DM was observed in men who reported symptoms of ED at the start of the study. CONCLUSIONS: The symptoms of ED appear to be an early warning sign of existing DM and preDM and predict an increased risk of developing abnormal glucose metabolism in the future.
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BACKGROUND: Cardiovascular diseases are a leading cause of mortality and a significant contributor to temporary and permanent disabilities worldwide. This study aimed to investigate the burden of primary and residual cardiometabolic risk factors in a sample of young adults in the Russian city of Kazan. METHODS: This case-control study used the Cardiometabolic Disease Staging (CMDS) classification system, which has been validated in several countries. The study included 191 individuals aged 25-44 years who met the inclusion criteria but did not meet any exclusion criteria. Data collection involved a patient card with questions from the World Health Organization's STEPS instrument, face-to-face patient interviews, and a physical examination. Anthropometric assessments included height, weight, and waist circumference measurements. Body composition was evaluated using bioelectrical impedance measurements. Patients also underwent in-depth laboratory biochemical analyses. RESULTS: The study cohort was comprised of 97 females (50.8%) and 94 males (49.2%). The median age of participants was 35.00 years [IQR: 30.00-39.00]. The study cohort showed an increase in all anthropometric parameters, with abdominal obesity and overweight reaching 100% in the CMDS 3. Apart from atherogenic lipids and raised blood pressure, other risk factors that precipitate residual risk and were not part of CMDS, such as insulin levels, insulin resistance, leptin values, and hyperuricemia, increased as CMDS levels increased. CONCLUSIONS: The prevalence of cardiometabolic risk factors was high in young adults in Kazan. This study highlights the need for the early identification and management of cardiometabolic risk factors in young adults to prevent the development of cardiovascular diseases later in life.
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Fatores de Risco Cardiometabólico , Doenças Cardiovasculares , Humanos , Masculino , Feminino , Adulto , Estudos de Casos e Controles , Federação Russa/epidemiologia , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Obesidade Abdominal/epidemiologia , Composição Corporal , Sobrepeso/epidemiologia , Fatores de Risco , Circunferência da Cintura , Síndrome Metabólica/epidemiologia , PrevalênciaRESUMO
Background: Metabolic abnormalities in the body increase the risk of gallbladder stones and their complications, which brings a great economic and social burden. The relationship between different types and amounts of metabolic abnormalities and gallstone risk in different sexes is poorly documented and controversial. Methods: Based on the baseline survey data of the Chinese Multi-Ethnic Cohort (CMEC) study, 4,075 Chinese adults aged 30-79 years with complete abdominal ultrasound results and metabolic index data. Logistic regression model was used to evaluate the correlation between five metabolic abnormalities and gallstones, and to explore the gender difference. Results: The detection rate of gallbladder stones was found to be 7.0%, with a higher rate in women (8.6%) than in men (4.1%). Logistic results showed adjustment odds ratio (ORs) and 95% confidence interval (95% CI) of dysglycemia + hypertension + central obesity in 3 metabolic combinations was 4.459 (1.653, 12.029). The four metabolic combinations, dysglycemia + dyslipidemia + hypertension + central obesity, dysglycemia + dyslipidemia + hypertension + abnormal blood uric acid and dysglycemia + dyslipidemia + central obesity + abnormal blood uric acid adjusted OR and 95%CI were 3.342 (1.459, 7.659), 5.439 (1.555, 19.018) and 2.971 (1.187, 7.435), respectively. Gender-stratified analysis found that "any three or more metabolic abnormalities and their components were associated with gallstone risk, more significantly in women. Conclusion: Different types and amounts of five metabolic abnormalities were associated with the risk of gallstone development, and the differences were more significant in women than men.
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BACKGROUND: Type 2 diabetes mellitus and lower weight are both associated with osteoporotic fractures, but the roles of variability and trajectory are less clear.1 The associations of these factors among older adults with dysglycemia, who are at highest risk of fracture, with fracture risk and bone mineral density (BMD) remains uncertain. METHODS: We followed 775 men and 1080 women from the Cardiovascular Health Study (mean age 77.4 years) with abnormal oral glucose tolerance testing in 1989-1990. We measured their weights yearly through 1994-1995 and derived intra-individual mean weight, weight slope, and weight variability. We also used growth mixture modelling to derive four latent body-mass index trajectories over time. We used Cox proportional hazards models to calculate hazard ratios (HR) and 95% confidence intervals (CI) for subsequent hip fracture through 2015 and linear regression models to estimate cross-sectional associations with bone mineral density (BMD) of the hip. RESULTS: Each 10 kg higher mean weight was associated with a lower risk of subsequent hip fracture overall (HR 0.81; CI 0.70-0.94) and among women (HR 0.76; CI 0.64-0.91) and with higher BMD (P-value <0.001). Higher weight variability was directly associated with incident hip fracture among women (HR 1.18; CI: 1.03-1.35). Compared with a stable trajectory, a "progressive overweight" trajectory was associated with lower risk of hip fracture (HR 0.66; CI: 0.44-0.99). An uncommon trajectory of "accelerating obesity" was associated with higher BMD. CONCLUSIONS: Among older adults with dysglycemia at high risk for fracture, lower mean weight is associated with higher fracture risk, but variability and trajectory may also contribute. These results highlight the complex effects of weight in older age.
Older adults with diabetes are susceptible to falls and fractures, but how their weight affects their bone strength and fractures remains uncertain. We followed 1855 men and women age 65 years and older with abnormal glucose in The Cardiovascular Health Study and used yearly measured weights to calculate average weight, change in weight over time, and variability in weight. Higher mean weight was associated with lower risk of hip fracture and higher bone density. Weight variability was associated with higher fracture risk among older women. Using trajectories, a group that slowly gained weight over time had a lower risk of hip fracture compared to a group with stable weight.
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Delayed cerebral ischemia (DCI) is a severe complication following aneurysmal subarachnoid hemorrhage (aSAH), linked to poor functional outcomes and prolonged intensive care unit (ICU) stays. Timely DCI diagnosis is crucial but remains challenging. Dysregulated blood glucose, commonly observed after aSAH, may impair the constant glucose supply that is vital for brain function, potentially contributing to DCI. This study aimed to assess whether glucose indices could help identify at-risk patients and improve DCI detection. This retrospective, single-center observational study examined 151 aSAH patients between 2016 and 2019. Additionally, 70 of these (46.4%) developed DCI and 81 did not (no-DCI). To determine the value of glycemic indices for DCI, they were analyzed separately in patients in the period before (pre-DCI) and after DCI (post-DCI). The time-weighted average glucose (TWAG, p = 0.024), mean blood glucose (p = 0.033), and novel time-unified dysglycemic rate (TUDR140, calculated as the ratio of dysglycemic to total periods within a glucose target range of 70-140 mg/dL, p = 0.042), showed significantly higher values in the pre-DCI period of the DCI group than in the no-DCI group. In the time-series analysis, significant increases in TWAG and TUDR140 were observed at the DCI onset. In conclusion, DCI patients showed elevated blood glucose levels before and a further increase at the DCI onset. Prospective studies are needed to confirm these findings, as this retrospective, single-center study cannot completely exclude confounders and limitations. In the future blood glucose indices might become valuable parameters in multiparametric models to identify patients at risk and detect DCI onset earlier.
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Background: Adiposity, dysglycemia, and hypertension are metabolic drivers that have causal interactions with each other. However, the effect of neighborhood-level disadvantage on the intensity of interactions among these metabolic drivers has not been studied. The objective of this study is to determine whether the strength of the interplay between these drivers is affected by neighborhood-level disadvantage. Methods: This cross-sectional study analyzed patients presenting to a multidisciplinary preventive cardiology center in New York City, from March 2017 to February 2021. Patients' home addresses were mapped to the Area Deprivation Index to determine neighborhood disadvantage. The outcomes of interest were correlation coefficients (range from -1 to +1) among the various stages (0 - normal, 1 - risk, 2 - predisease, 3 - disease, and 4 - complications) of abnormal adiposity, dysglycemia, and hypertension at presentation, stratified by neighborhood disadvantage. Results: The cohort consisted of 963 patients (age, median [IQR] 63.8 [49.7-72.5] years; 624 [65.1 %] female). The correlation among the various stages of adiposity, dysglycemia, and hypertension was weaker with increasing neighborhood disadvantage (P for trend <0.001). Specifically, the correlation describing adiposity, dysglycemia, and hypertension interaction was weaker in the high neighborhood disadvantage group compared to the intermediate neighborhood disadvantage group (median [IQR]: 0.34 [0.27, 0.44] vs. median [IQR]: 0.39 [0.34, 0.45]; P < 0.001) and compared to the low neighborhood disadvantage group (median [IQR]: 0.34 [0.27, 0.44] vs. median [IQR]: 0.54 [0.52, 0.57]; P < 0.001), as well as weaker in the intermediate neighborhood disadvantage group compared to the low neighborhood disadvantage group (median [IQR]: 0.39 [0.34, 0.45] vs. 0.54 median [IQR]: 0.54 [0.52, 0.57]; P < 0.001). Conclusions: Interactions among the various stages of abnormal adiposity, dysglycemia, and hypertension with each other are weaker with increasing neighborhood disadvantage. Factors related to neighborhood-level disadvantage, other than abnormal adiposity, might play a crucial role in the development of dysglycemia and hypertension.
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BACKGROUND: Given the fundamental physiological differences between the sexes, this study aimed to investigate the effect of metabolic syndrome on ventilatory defects stratified by sex. METHODS: We conducted a nationwide, pooled, cross-sectional study. Data from 45,788 participants (men, n = 15,859; women, n = 29,929) aged 30 years or more were obtained from the Taiwan Biobank. Age-sex-adjusted and multivariate logistic regression models were used to estimate the risk of developing impaired pulmonary function (restrictive or obstructive ventilatory defects) in individuals with or without metabolic syndromes. Separate models were also used to estimate the effect of metabolic syndrome scores and the effect of individual metabolic abnormalities on the risk of restrictive ventilatory defects. RESULTS: The overall prevalence of metabolic syndrome was estimated to be 15.9% in Taiwan, much higher in men than in women (18.6% versus 14.4%). A significant association was observed between metabolic syndromes and the risk of restrictive ventilatory defects. The risk of developing a restrictive ventilator defect was 35% higher in participants with metabolic syndromes (odds ratio, 1.35; 95% confidence interval, 1.26-1.45) than in those without metabolic syndromes. Elevated blood pressure and a triglycerides abnormality were important predictors of restrictive ventilator defects. Sex-stratified subgroup analyses of the individual metabolic abnormalities indicated that men with abdominal obesity and women with dysglycemia were more likely to develop restrictive ventilatory defects. CONCLUSIONS: Our study's evidence suggested that metabolic syndromes were important predictors of impaired pulmonary function and an increased risk of developing restrictive ventilatory defects, and its risk increased with increasing numbers of metabolic abnormalities.
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Síndrome Metabólica , Humanos , Síndrome Metabólica/epidemiologia , Feminino , Masculino , Pessoa de Meia-Idade , Estudos Transversais , Taiwan/epidemiologia , Adulto , Idoso , Fatores Sexuais , Fatores de Risco , Prevalência , Modelos LogísticosRESUMO
Atrial fibrillation (AF) and prediabetes share common pathophysiological mechanisms with endothelial dysfunction and inflammation playing a key role. The resultant vicious cycle which sets in culminates in a higher atherogenicity and thermogenicity of the vascular system resulting in increased major adverse cardiac or cerebrovascular event (MACCE) events. However, the same has not convincingly been verified in real-world settings. In the recent retrospective study by Desai et al amongst AF patients being admitted to hospitals following MACCE, prediabetes emerged as an independent risk factor for MACCE after adjusting for all confounding variables. However, certain questions like the role of metformin, quantifying the risk for MACCE amongst prediabetes compared to diabetes, the positive impact of reversion to normoglycemia remain unanswered. We provide our insights and give future directions for dedicated research in this area to clarify the exact relationship between the two.
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Background: The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately-controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). Methods: Eligible participants are between 21 to 80 years of age diagnosed with moderately-controlled T2D (HbA1c: 6.0-8.0%), and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: 1) Personalized, 2) Standardized, or 3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrients targets to meet Mediterranean diet guidelines plus 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same education content as UCC on the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, plus real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. Discussion: The DiaTeleMed study will address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. Trial registration: The DiaTeleMed Study is registered with ClinicalTrials.gov (Identifier: NCT05046886).
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Objective Accumulating evidence indicates a relationship between diabetes and cancer risk, with obesity, insulin resistance, and hyperglycemia being implicated as the major underlying pathogenetic mechanisms of increased cancer risk among people with diabetes. We aim to assess the differential effect of dysglycemia (prediabetes and diabetes) on the strength of association (odds) of cancer amongst the adult US diabetic population. Material and methods We analyzed data from the 1997-2013 National Health Interview Survey (NHIS) dataset, which applies a multistage area probability sampling design. We used descriptive statistics and logistic regression analyses to test the strengths of the association between diabetes, prediabetes, and cancer before and after adjusting for major risk factors for cancer, including age and body mass index (BMI). Results A total of 722,532 individuals were surveyed, with a mean age of 47.18 ±0.3 years (±SEM) and a BMI of 26.9 ±0.01 kg/m2. Between 1997 and 2013, BMI increased from 26.0 to 27.4 kg/m2, the diabetes rate increased from 4.1% to 7.6%, and associated cancer rates increased from 6.6% to 9.0%. Body mass index was 27.1 vs. 26.8 kg/m2, P < 0.01, for those with and without cancer, respectively. The unadjusted odds ratio for cancer was 1.92 (1.78-2.08) (95% CI) and 2.20 (2.13-2.27) for prediabetes and diabetes, respectively. After adjusting for age, BMI, race, and cigarette smoking, the odds ratio for cancer was 1.12 (1.03-1.22), P < 0.01, and 1.15 (1.11-1.18), P <0.01, for prediabetes and diabetes, respectively. Conclusion Among US adults, the increasing rate of diabetes over the years was associated with an increased rate of cancer. Diabetes and prediabetes have a graduated effect on cancer risk. While obesity is generally implicated as an underlying pathophysiologic link between diabetes and cancer, our study showed a modest difference in BMI between those with and without cancer. In addition, the effect of diabetes and prediabetes on the odds of cancer persisted after adjusting for BMI. These data collectively suggest that hyperglycemia is an attractive pathophysiologic mechanism that may play a role in increasing the odds of cancer among diabetic and prediabetic populations. Our study is consistent with the accumulating evidence implicating hyperglycemia in the pathogenesis of cancer, where glucose is used in PET scanning to detect cancer (the Warburg effect), and the ketogenic diet appears to be useful in cancer management, enhancing the effect of chemotherapeutic agents.
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BACKGROUND: Postoperative hyperglycemia is associated with morbidity and mortality in non-diabetic surgical patients. However, there is limited information on the extent and factors associated with postoperative hyperglycemia. This study assessed the magnitude and associated factors of postoperative hyperglycemia among non-diabetic adult patients who underwent elective surgery at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. METHODS: A facility-based cross-sectional study was conducted among 412 adult patients who underwent elective surgery at University of Gondar Comprehensive Specialized Hospital from April 14 to June 30, 2022 All consecutive postoperative non-diabetic elective surgical patients who were admitted to PACU during the data collection period and who fulfilled inclusion criteria were included in the study until the intended minimum sample size was achieved. And data were collected through interviews using a pretested semi-structured questionnaire. Postoperative hyperglycemia was defined as a blood glucose level of ≥ 140 mg/dl. Multivariable logistic regression was performed to identify the association between postoperative hyperglycemia and independent variables. Variables with a p-value less than 0.05 and a 95% confidence interval (CI) were considered statistically significant. RESULTS: A total of 405 patients' data were evaluated with a response rate of 98.3%. The median (IQR) age was 40 (28-52) years. The prevalence of postoperative hyperglycemia was 34.1% (95% CI: 29.4-39.0). Factors significantly associated with postoperative hyperglycemia included being overweight (AOR = 5.45, 95% CI: 2.46-12.0), American Society of Anesthesiologists (ASA) classification II and III (AOR = 2.37, 95% CI: 1.17-4.79), postoperative low body temperature (AOR = 0.18, 95% CI: 0.069-0.48), blood loss ≥ 500 ml (AOR = 2.33, 95% CI: 1.27-4.27), long duration of surgery, mild pain (AOR = 5.17, 95% CI: 1.32-20.4), and moderate pain (AOR = 7.63, 95% CI: 1.811-32.20). CONCLUSION AND RECOMMENDATION: One-third of the study participants had postoperative hyperglycemia. Weight, ASA classification, postoperative body temperature, duration of surgery, intraoperative blood loss, and postoperative pain were identified as a modifiable risk factors. Maintaining normal body temperature throughout the procedure, treating postoperative pain, and monitoring and controlling blood glucose level in patients at risk of hyperglycemia is crucial.
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Hiperglicemia , Complicações Pós-Operatórias , Humanos , Etiópia/epidemiologia , Adulto , Feminino , Masculino , Estudos Transversais , Hiperglicemia/epidemiologia , Pessoa de Meia-Idade , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Procedimentos Cirúrgicos Eletivos/efeitos adversos , Fatores de Risco , Hospitais Universitários , Prevalência , Glicemia/análiseRESUMO
OBJECTIVE: This study aims to examine the relationship between dysglycemia - also known as pre-diabetes or impaired glucose tolerance- and cognitive abilities in an older population living Mild Cognitive Impairment (MCI) and stratified by gender. STUDY DESIGN: This is a retrospective study with data gathered from a large Italian clinical-based database. MAIN OUTCOME MEASURES: The evaluation of cognitive performances by the Mini-Mental State Examination and the Addenbrooke's Cognitive Examination Revised rating scale as tests of screening and a comprehensive neuropsychological evaluation of several cognitive areas. RESULTS: The study comprised 682 subjects (445 F/237 M) with a mean age of 76.08 ± 9.03 (range: 66-93) years. In all population, subjects with dysglycemia 193 (28.3%) had significantly poorer performance in memory (p = 0.006) and logic reasoning (p = 0.007) when compared with subjects without dysglycemia. The linear regression analyses revealed significant differences in the correlates of cognitive domains between gender groups. Independent of multiple covariates, women with dysglycemia showed worse performances in attention and short-term memory domains as compared with men. Even in the absence of dysglycemia women were more likely to show lower score in screening test of general cognition and attention. CONCLUSIONS: Our findings suggest that dysglycemia in older individuals with MCI is associated with declines in specific cognitive domains, potentially influenced by gender. Implementing a comprehensive approach involving risk stratification and preventive strategies may be more effective in averting further cognitive decline in this high-risk population.
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Cognição , Disfunção Cognitiva , Humanos , Masculino , Feminino , Disfunção Cognitiva/epidemiologia , Disfunção Cognitiva/diagnóstico , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Estudos Retrospectivos , Cognição/fisiologia , Testes Neuropsicológicos , Fatores Sexuais , Estado Pré-Diabético/epidemiologia , Itália/epidemiologiaRESUMO
BACKGROUND: The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS: Eligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION: The DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION: ClinicalTrials.gov NCT05046886. Registered on September 16, 2021.
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Glicemia , Diabetes Mellitus Tipo 2 , Dieta Mediterrânea , Telemedicina , Humanos , Diabetes Mellitus Tipo 2/dietoterapia , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/terapia , Pessoa de Meia-Idade , Idoso , Adulto , Feminino , Masculino , Glicemia/metabolismo , Ensaios Clínicos Controlados Aleatórios como Assunto , Idoso de 80 Anos ou mais , Adulto Jovem , Automonitorização da Glicemia , Resultado do Tratamento , Hemoglobinas Glicadas/metabolismo , Fatores de Tempo , Biomarcadores/sangue , Aplicativos Móveis , Medicina de Precisão/métodos , Dieta Saudável , Aconselhamento/métodos , Hipoglicemiantes/uso terapêutico , Hipoglicemiantes/administração & dosagemRESUMO
In epidemiological studies, lowered serum testosterone concentrations are common in men with obesity, prediabetes, and established type 2 diabetes (T2D). In men with prediabetes, lowered serum testosterone also predicts a future risk of T2D in men. Administration of testosterone consistently reduces fat mass and increases skeletal muscle mass-body compositional changes expected to be metabolically favorable. In men with established T2D, the effects of testosterone treatment on glycemic measures are inconsistent. Irrespective of baseline serum testosterone concentration in men with prediabetes or newly diagnosed early-onset T2D, testosterone treatment prescribed in conjunction with a lifestyle program has been reported to reduce the risk of T2D by 40% after 2 years, suggesting that either a lifestyle program is required to facilitate the glycemic benefit of testosterone treatment and/or that testosterone treatment has more favorable effects on glycemia in men early in the evolution or onset of the disease. The durability of the benefit and longer-term safety of testosterone treatment have not been established. Therefore, more studies are required before testosterone treatment can be recommended for the prevention and/or treatment of men with or at elevated risk of T2D who do not have hypogonadism due to an established disease of the hypothalamic-pituitary-testicular axis.
Assuntos
Diabetes Mellitus Tipo 2 , Ensaios Clínicos Controlados Aleatórios como Assunto , Testosterona , Humanos , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/sangue , Masculino , Testosterona/uso terapêutico , Testosterona/sangue , Estado Pré-Diabético/tratamento farmacológicoRESUMO
We describe 2 families with 5 members from 2 generations whose clinical and laboratory characteristics over up to 15 years were consistent with dysglycemia/impaired glucose tolerance. In both families (2 probands and 3 family members), long-term follow-up excluded diabetes type 1 and type 2. Diabetes type 1 antibodies were persistently negative and C-peptide levels were normal. In Family 1, the proband, during a follow-up of 7 years (10.3-17.5 years of age), exhibited persistently high HbA1c (>5.7%) with fasting blood glucose levels mostly higher than 100 mg/dl and postprandial glucose levels up to 180 mg/dl. She eventually required oral anti-diabetics with an improvement in glycemic balance. The father and sister also had persistent mild hyperglycemia with borderline high HbA1c (mostly > 5.7%) levels over 15 and 6.2 years respectively. In Family 2, the proband exhibited borderline high fasting hyperglycemia (>100 mg/dl) at age 16.2 years with increasing HbA1c levels (from 5.6%-5.9%) and impaired glucose tolerance at age 18.3 years (2 h blood glucose 156 mg/dl after 75 g glucose). His sister also exhibited borderline hyperglycemia with borderline high HbA1c over 2 years (13.6-15.4 years). These subjects shared a unique phenotype. They are tall and slim with decreased BMI. Three subjects from Generation II failed to thrive during infancy. In view of the data from 2 generations suggesting maturity-onset diabetes of the young (MODY) with autosomal dominant inheritance, we sought to analyze the MODY genes. In Family 1, the molecular analysis by the MODY panel including 11 genes and whole exome sequencing did not detect any mutation in the proband. In Family 2, the MODY panel was also negative in the proband's sister. These families may represent a hitherto unidentified syndrome. Unique features described in this report may help to reveal additional families with similar characteristics and to decipher the molecular basis of this syndrome. In selected cases, oral antidiabetics in adolescents may improve the glycemic balance.