Impact of glycemic control on residual kidney function and technique failure associated with volume overload in diabetic patients on peritoneal dialysis.

Background: It is unclear whether poor glycemic control contributes to residual kidney function (RKF) decline and consequent volume overload in diabetic patients on peritoneal dialysis (PD). Methods: This retrospective analysis included 80 diabetic patients who started PD at a single center. The first 2 years of patient data were collected to investigate the impact of glycemic control on RKF and volume overload in the early stages of PD. We used the time-averaged glycated hemoglobin (HbA1c) levels to estimate glycemic control. RKF loss was measured as the slope of RKF decline and time to anuria. To assess the association between glycemic control and volume overload, we examined technique failure (TF) associated with volume overload (TFVO), defined as TF due to excessive fluid accumulation. Multivariable linear regression and Cox regression analysis were performed to assess how glycemic control affects RKF and TFVO. Results: Over the first 2 years, the mean rate of RKF decline was -3.25 ± 3.94 mL/min/1.73 m2 per year. Multivariable linear regression showed that higher time-averaged HbA1c was associated with a rapid RKF decline (ß = -0.95; 95% confidence interval [CI], -1.66 to -0.24; p = 0.01). In the adjusted Cox regression analysis, higher time-averaged HbA1c increased the risk of progression to anuria (adjusted hazard ratio [HR], 1.97; 95% CI, 1.29-3.00; p = 0.002) and TFVO (adjusted HR, 2.88; 95% CI, 1.41-5.89; p = 0.004). Conclusion: Poor glycemic control is associated with rapid RKF decline and leads to volume overload in diabetic patients on PD.

Improving gestational diabetes care: Mobile glucose monitoring to reduce complications.

BACKGROUND: Gestational diabetes mellitus (GDM) incurs risks for both mother and baby and requires close medical attention throughout pregnancy. This retrospective study examined the impact of myDiabby® software on GDM care and complications. MATERIAL AND METHODS: The study population was divided between a pre-MyDiabby® group, with traditional monitoring before September 2017, and a myDiabby® group, using the myDiabby® app after September 2017. The aim was to compare the main complications of GDM and blood glucose control between the two groups, using Fisher's exact test or bilateral Student t-test as appropriate. Backward logistic regression was used to identify independent factors associated with glycemic control and caesarean section (C-section). RESULTS: There were 622 pre-myDiabby® and 649 myDiabby® patients. The myDiabby® group showed significantly lower risk of C-section (17.2% vs. 11.3%, p=0.004). After adjustment for pre-pregnancy body mass index (BMI), maternal age, prematurity, macrosomia and eclampsia, telemedicine was independently associated with a lower rate of C-section (OR=0.67, 95% CI: 0.51-0.89, p=0.005). Glycemic control improved (66.6% vs. 85.4%, p<0.001), with only a trend for need of insulin treatment. MyDiabby® remained associated with glycemic control (OR=3.15, 95% CI: 2.87-4.33, p<0.001) independently of pre-pregnancy BMI, insulin treatment or personal history of GDM. CONCLUSION: These findings highlight the potential benefits of using telemedicine tools in the management of GDM during pregnancy.

Oxidative Stress in Prediabetic Young Adults.

Background Malondialdehyde (MDA) and nitric oxide (NO) are considered specific biomarkers for oxidative stress. Oxidative stress in prediabetics with an augmented potential for the onset of diabetes is at least partly responsible for the various complications of diabetes. Evidence shows that the early features of cell injury are due to transient acute elevations in blood glucose. This study aims to determine whether oxidative stress in prediabetic young adults increases the risk of developing diabetes. Aim and objectives We envisaged a study to determine whether the parameters representing oxidative stress are deranged in prediabetics. Materials and methods The study was conducted on prediabetic young individuals from 18 to 35 years, screened from the tertiary-level hospital, and a similar group of non-prediabetic young individuals identified from the same in a tertiary-level hospital in India. Results We observed significant elevations in prediabetics in the following oxidative stress parameters: MDA (P= <0.001), and NO (P= <0.001); indicating that these parameters were significantly higher among the prediabetics than the controls. We also observed significantly greater body weight, waist circumference, and BMI among the prediabetics than the controls. Conclusion Early identification and appropriate treatment of hyperglycemia in prediabetics is essential, as impairments in pancreatic beta-cell functioning and resistance to insulin are already present before the onset of type 2 diabetes mellitus (T2DM). Owing to the high potential for mortality and morbidity due to cardiovascular diseases (CVDs) as a complication of diabetes, treatment plans must be put in place early enough so that complications can be prevented. Inflammation and oxidative stress may be viewed as valuable targets to hinder the evolution of T2DM from prediabetes.

Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development.

BACKGROUND: Type 2 diabetes (T2D) is a significant global health challenge. Physicians need to assess whether future glycemic control will be poor on the current trajectory of usual care and usual-care treatment intensifications so that they can consider taking extra treatment measures to prevent poor outcomes. Predicting poor glycemic control from trends in hemoglobin A1c (HbA1c) levels is difficult due to the influence of seasonal fluctuations and other factors. OBJECTIVE: We sought to develop a model that accurately predicts poor glycemic control among patients with T2D receiving usual care. METHODS: Our machine learning model predicts poor glycemic control (HbA1c≥8%) using the transformer architecture, incorporating an attention mechanism to process irregularly spaced HbA1c time series and quantify temporal relationships of past HbA1c levels at each time point. We assessed the model using HbA1c levels from 7787 patients with T2D seeing specialist physicians at the University of Tokyo Hospital. The training data include instances of poor glycemic control occurring during usual care with usual-care treatment intensifications. We compared prediction accuracy, assessed with the area under the receiver operating characteristic curve, the area under the precision-recall curve, and the accuracy rate, to that of LightGBM. RESULTS: The area under the receiver operating characteristic curve, the area under the precision-recall curve, and the accuracy rate (95% confidence limits) of the proposed model were 0.925 (95% CI 0.923-0.928), 0.864 (95% CI 0.852-0.875), and 0.864 (95% CI 0.86-0.869), respectively. The proposed model achieved high prediction accuracy comparable to or surpassing LightGBM's performance. The model prioritized the most recent HbA1c levels for predictions. Older HbA1c levels in patients with poor glycemic control were slightly more influential in predictions compared to patients with good glycemic control. CONCLUSIONS: The proposed model accurately predicts poor glycemic control for patients with T2D receiving usual care, including patients receiving usual-care treatment intensifications, allowing physicians to identify cases warranting extraordinary treatment intensifications. If used by a nonspecialist, the model's indication of likely future poor glycemic control may warrant a referral to a specialist. Future efforts could incorporate diverse and large-scale clinical data for improved accuracy.

Advancing elderly diabetes care: exploring the usability and acceptance of continuous glucose monitoring (CGM).

OBJECTIVES: This study aimed to evaluate the acceptability, usability, compliance, and satisfaction of Continuous Glucose Monitoring (CGM) among elderly diabetic patients. DESIGN: Utilizing a mixed-methods approach, the study involved 30 participants, averaging 74.79 years in age. Participants wore two CGM devices, and their experiences, along with survey data, were comprehensively analyzed to gauge the effectiveness of CGM in managing diabetes. RESULTS: The study demonstrated that -CGM- is highly usable and acceptable among elderly diabetic patients. Participants effectively utilized CGM to monitor and predict blood glucose trends, positively influencing their glucose control and lifestyle. The average adherence rate was found to be 81 %, indicating a substantial level of effective self-management and treatment decision-making. CONCLUSION: The study recommends developing CGM educational programs tailored for the elderly, educating healthcare professionals, expanding insurance coverage for CGM, and promoting real-time CGM technology to improve usability and acceptance among the elderly.

Association of blood glucose change with postoperative delirium after coronary artery bypass grafting in patients with diabetes mellitus: a study of the MIMIC-IV database.

Aim: Study results on blood glucose and the risk of delirium in patients receiving cardiac surgery are inconsistent, and there is also a gap in how to manage blood glucose after coronary artery bypass grafting (CABG). This study focused on patients with diabetes mellitus (DM) undergoing CABG and explored the associations of different blood glucose-related indexes and blood glucose change trajectory with postoperative delirium (POD), with the aim of providing some information for the management of blood glucose in this population. Methods: Data of patients with DM undergoing CABG were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database in this retrospective cohort study. The blood glucose-related indexes included baseline blood glucose, mean blood glucose (MBG), mean absolute glucose (MAG), mean amplitude of glycemic excursions (MAGE), glycemic lability index (GLI), and largest amplitude of glycemic excursions (LAGE). The MBG trajectory was classified using the latent growth mixture modeling (LGMM) method. Univariate and multivariate logistic regression analyses were utilized to screen covariates and explore the associations of blood glucose-related indexes and MBG trajectory with POD. These relationships were also assessed in subgroups of age, gender, race, estimated glomerular filtration rate (eGFR), international normalized ratio (INR), sepsis, mechanical ventilation use, and vasopressor use. In addition, the potential interaction effect between blood glucose and hepatorenal function on POD was investigated. The evaluation indexes were odds ratios (ORs), relative excess risk due to interaction (RERI), attributable proportion of interaction (AP), and 95% confidence intervals (CIs). Results: Among the eligible 1,951 patients, 180 had POD. After adjusting for covariates, higher levels of MBG (OR = 3.703, 95% CI: 1.743-7.870), MAG >0.77 mmol/L/h (OR = 1.754, 95% CI: 1.235-2.490), and GLI >2.6 (mmol/L)2/h/per se (OR = 1.458, 95% CI: 1.033-2.058) were associated with higher odds of POD. The positive associations of MBG, MAG, and GLI with POD were observed in patients aged <65 years old, male patients, White patients, those with eGFR <60 and INR <1.5, patients with sepsis, and those who received mechanical ventilation and vasopressors (all p < 0.05). Patients with class 3 (OR = 3.465, 95% CI: 1.122-10.696) and class 4 (OR = 3.864, 95% CI: 2.083-7.170) MBG trajectory seemed to have higher odds of POD, compared to those with a class 1 MBG trajectory. Moreover, MAG (RERI = 0.71, 95% CI: 0.14-1.27, AP = 0.71, 95% CI: 0.12-1.19) and GLI (RERI = 0.78, 95% CI: 0.19-1.39, AP = 0.69, 95% CI: 0.16-1.12) both had a potential synergistic effect with INR on POD. Conclusion: Focusing on levels of MBG, MAG, GLI, and MBG trajectory may be more beneficial to assess the potential risk of POD than the blood glucose level upon ICU admission in patients with DM undergoing CABG.

Effects of high-normal fasting blood glucose on ART outcomes of frozen-thawed single blastocyst transfer in women with normal BMI.

PURPOSE: This retrospective cohort study aims to investigate whether high-normal fasting blood glucose (FBG) affects assisted reproductive technology (ART) outcomes undergoing single blastocyst frozen-thawed embryo transfer (FET) cycles in women with normal body mass index (BMI). METHODS: 944 women with normal BMI and FBG levels undergoing single blastocyst FET cycles were enrolled. Based on the median of FBG (4.97 mmol/L, 1 mmol/L = 18 mg/dL), the subjects were categorized into the low-normal group (3.90 ≤ FBG ≤ 4.97 mmol/L, n = 472) and the high-normal group (4.97 < FBG < 6.10 mmol/L, n = 472). Multivariable logistic regression and receiver operating characteristic (ROC) were used to analyze the relationship between high-normal FBG and ART outcomes. PRIMARY OUTCOME: live birth rate (LBR). RESULTS: LBR was significantly lower in the high-normal group than in the low-normal group (36.8% vs. 45.1%, p = 0.010), and the miscarriage rate was considerably higher than that in the low-normal group (23.9% vs. 16.5%, p = 0.041). High-normal FBG of female was an independent predictor of live birth (adjusted OR:0.747, 95% CI: 0.541-0.963, p = 0.027) and miscarriage (adjusted OR:1.610, 95% CI: 1.018-2.547, p = 0.042). ROC analyses showed that the cut-off values of FBG (endpoints: live birth and miscarriage) were 5.07 mmol/L, and 5.01 mmol/L, respectively. CONCLUSIONS: In women with normal BMI, high-normal FBG is an independent risk factor for lower LBR and higher miscarriage rate in single blastocyst FET cycles. Attention to preconception FBG monitoring in this particular population may allow early intervention to improve ART outcomes.

Effect of dates on blood glucose and lipid profile among patients with type 2 diabetes.

Poor fruit and vegetable consumption is one of the 10 major risk factors for mortality. There is a misconception regarding the consumption of dates among patients with diabetes. This manuscript assessed the effects of date consumption on fasting and postprandial blood glucose, glycated hemoglobin, total cholesterol, triglycerides, low-density lipoproteins, high-density lipoproteins, and microbial markers. Four literature databases were searched for relevant articles. Of the 595 studies retrieved, 24 assessed the effects of dates on glycemic control and lipids. Overall, the evidence suggests that dates have a lowering effect on blood glucose. Dates reduce total cholesterol and triglyceride levels and increase high-density lipoprotein levels. Dates also promote the abundance of beneficial gut microbiota. Therefore, patients with diabetes and dyslipidemia can consume dates to reduce their blood glucose, cholesterol, and triglycerides.

A Novel AI Approach for Assessing Stress Levels in Patients with Type 2 Diabetes Mellitus Based on the Acquisition of Physiological Parameters Acquired during Daily Life.

Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly managed, stress can develop into a chronic condition, leading to the onset of additional chronic health issues, such as cardiovascular illnesses and diabetes. Various stress meters have been suggested in the past, along with diverse approaches for its estimation. However, in the case of more serious health issues, such as hypertension and diabetes, the results can be significantly improved. This study presents the design and implementation of a distributed wearable-sensor computing platform with multiple channels. The platform aims to estimate the stress levels in diabetes patients by utilizing a fuzzy logic algorithm that is based on the assessment of several physiological indicators. Additionally, a mobile application was created to monitor the users' stress levels and integrate data on their blood pressure and blood glucose levels. To obtain better performance metrics, validation experiments were carried out using a medical database containing data from 128 patients with chronic diabetes, and the initial results are presented in this study.

Glycaemic Response to a Nut-Enriched Diet in Asian Chinese Adults with Normal or High Glycaemia: The Tu Ora RCT.

Nut-based products are a good source of high-quality plant protein in addition to mono- and polyunsaturated fatty acids, and may aid low-glycaemic dietary strategies important for the prevention of type 2 diabetes (T2D). In particular, they may be advantageous in populations susceptible to dysglycaemia, such as Asian Chinese. The present study aimed to compare effects of a higher-protein nut bar (HP-NB, also higher in total fibre and unsaturated fats, comprising mixed almonds and peanuts) vs. an isoenergetic higher-carbohydrate cereal bar (HC-CB) within the diet of 101 Chinese adults with overweight and normo- or hyperglycaemia. Ectopic pancreas and liver fat were characterised using magnetic resonance imaging and spectroscopy (MRI/S) as a secondary outcome. Participants were randomized to receive HP-NB or HC-CB daily as a 1 MJ light meal or snack replacement, in addition to healthy eating advice. Anthropometry and clinical indicators of T2D risk were assessed fasted and during an oral glucose tolerance test (OGTT), pre- and post-intervention. No significant difference was observed between diet groups for body weight, body mass index, waist or hip circumference, blood pressure, glucoregulatory markers, lipid profile or inflammatory markers over 12 weeks (all, p > 0.05). No difference was observed between glycaemic subgroups or those with normal versus high ectopic organ fat. Although HP-NB can attenuate postprandial glycaemia following a meal, no effects were observed for either fasting or glucose-mediated outcomes following longer-term inclusion in the habitual diet of Chinese adults with overweight, including at-risk subgroups.

Lingonberry (Vaccinium vitis-idaea L.) Skin Extract Prevents Weight Gain and Hyperglycemia in High-Fat Diet-Induced Model of Obesity in Mice.

The percentage of obese people is increasing worldwide, causing versatile health problems. Obesity is connected to diseases such as diabetes and cardiovascular diseases, which are preceded by a state called metabolic syndrome. Diets rich in fruits and vegetables have been reported to decrease the risk of metabolic syndrome and type 2 diabetes. Berries with a high polyphenol content, including lingonberry (Vaccinium vitis-idaea L.), have also been of interest to possibly prevent obesity-induced metabolic disturbances. In the present study, we prepared an extract from the by-product of a lingonberry juice production process (press cake/pomace) and investigated its metabolic effects in the high-fat diet-induced model of obesity in mice. The lingonberry skin extract partly prevented weight and epididymal fat gain as well as a rise in fasting glucose level in high-fat diet-fed mice. The extract also attenuated high-fat diet-induced glucose intolerance as measured by an intraperitoneal glucose tolerance test (IPGTT). The extract had no effect on the levels of cholesterol, triglyceride or the adipokines adiponectin, leptin, or resistin. The results extend previous data on the beneficial metabolic effects of lingonberry. Further research is needed to explore the mechanisms behind these effects and to develop further health-promoting lingonberry applications.

Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.

BACKGROUND: Amidst the escalating prevalence of glucose-related chronic diseases, the advancements, potential uses, and growing accessibility of continuous glucose monitors (CGM) have piqued the interest of healthcare providers, consumers, and health behaviour researchers. Yet, there is a paucity of literature characterising the use of CGM in behavioural intervention research. This scoping review aims to describe targeted populations, health behaviours, health-related outcomes, and CGM protocols in randomised controlled trials (RCTs) that employed CGM to support health behaviour change. METHODS: We searched Ovid MEDLINE, Elsevier Embase, Cochrane Central Register of Controlled Trials, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global from inception to January 2024 for RCTs of behavioural interventions conducted in adults that incorporated CGM-based biological feedback. Citation searching was also performed. The review protocol was registered ( https://doi.org/10.17605/OSF.IO/SJREA ). FINDINGS: Collectively, 5389 citations were obtained from databases and citation searching, 3995 articles were screened, and 31 were deemed eligible and included in the review. Most studies (n = 20/31, 65%) included adults with type 2 diabetes and reported HbA1c as an outcome (n = 29/31, 94%). CGM was most commonly used in interventions to target changes in diet (n = 27/31, 87%) and/or physical activity (n = 16/31, 52%). 42% (n = 13/31) of studies provided prospective CGM-based guidance on diet or activity, while 61% (n = 19/31) included retrospective CGM-based guidance. CGM data was typically unblinded (n = 24/31, 77%) and CGM-based biological feedback was most often provided through the CGM and two-way communication (n = 12/31, 39%). Communication typically occurred in-person (n = 13/31, 42%) once per CGM wear (n = 13/31; 42%). CONCLUSIONS: This scoping review reveals a predominant focus on diabetes in CGM-based interventions, pointing out a research gap in its wider application for behaviour change. Future research should expand the evidence base to support the use of CGM as a behaviour change tool and establish best practices for its implementation. TRIAL REGISTRATION: doi.org/10.17605/OSF.IO/SJREA.

The effect of a split-dose intravenous dexamethasone and a single high-dose on postoperative blood glucose after total joint arthroplasty: a randomized double-blind placebo-controlled trial.

BACKGROUND: In patients undergoing total joint arthroplasty (TJA), the administration of dexamethasone may contribute to perioperative blood glucose (BG) disturbances, potentially resulting in complications, even in patients without diabetes. This study aimed to demonstrate the impact of different administration regimens of dexamethasone in postoperative BG levels. METHODS: In this randomized, controlled, double-blind trial, 136 patients without diabetes scheduled for TJA were randomly assigned to three groups: two perioperative saline injections (Group A, placebo); a single preoperative injection of 20 mg dexamethasone and a postoperative saline injection (Group B), and two perioperative injections of 10 mg dexamethasone (Group C). Primary outcomes were the postoperative fasting blood glucose (FBG) levels. Secondary outcome parameters were the postoperative postprandial blood glucose (PBG) levels. Postoperative complications within 90 days were also recorded. Risk factors for FBG ≥ 140 mg/dl and PBG ≥ 180 mg/dl were investigated. RESULTS: Compared to Group A, there were transient increases in FBG and PBG on postoperative days (PODs) 0 and 1 in Groups B and C. Statistical differences in FBG and PBG among the three groups were nearly absent from POD 1 onward. Both dexamethasone regimens did not increase the risk for postoperative FBG ≥ 140 mg/dl or PBG ≥ 180 mg/dl. Elevated preoperative HbA1c levels may increase the risk of postoperative FBG ≥ 140 mg/dl or PBG ≥ 180 mg/dl, respectively. CONCLUSION: Perioperative intravenous high-dose dexamethasone to patients without diabetes has transient effects on increasing BG levels after TJA. However, no differences were found between the split-dose and single high-dose regimens. The elevated preoperative HbA1c, but not the dexamethasone regimens were the risk factor for FBG ≥ 140 mg/dl and PBG ≥ 180 mg/dl. TRIAL REGISTRATION: Chinese Clinical Trail Registry, ChiCTR2300069473. Registered 17 March 2023, https://www.chictr.org.cn/showproj.html?proj=186760 .

Availability and pricing of insulin and related diagnostics in South Africa.

Background: In South Africa (SA), most patients rely on the government for free healthcare. Some choose to subscribe to a medical insurance scheme. If insulin is unavailable in government or otherwise unaffordable, non-adherence may occur, which can increase complications of the disease. Methods: Data on availability and pricing of insulin and related diagnostics was collected from SA pharmacies via an online survey. Co-payments levied on insulin by the biggest medical aids were extracted from formularies. Affordability of these items was then assessed. An adapted methodology from the World Health Organization/Health Action International tool was used. Results: There was fairly high availability of insulin in the public sector, with the exception of long-acting insulin which respondents claimed was difficult to find; however, long-acting insulin glargine was available in most private sector pharmacies. Point-of-care (POC) blood glucose testing was free in the public sector but offered in only 31.25% of pharmacies. Patients pay a minimum of USD 40.4 (over 3 days' wages for the lowest paid government worker (LPGW)) for a months' supply of the cheapest insulin, needles and test strips. Insulin in SA was cheaper than 5 other countries, except Australia. Conclusion: Overall, there is a good availability of insulin and related diagnostics in SA. Even though insulin is cheaper than other countries, it is unaffordable to the LPGW. This highlights the importance of ensuring a constant availability of insulin in the free public sector. Whilst human insulins are cheaper than newer analogue insulins and SA faces cost constraints, important variables in favour of newer insulins, such as ease-of-use, long term outcomes and value should be considered when treatment guidelines are updated. Annual POC testing should be available and offered free to all patients to detect diabetes early.

Normoglycemia and type 2 diabetes: exploring secreted frizzled-4, insulin resistance, and waist-height ratio.

The current study was planned to compare serum levels of secreted frizzled related protein-4, insulin resistance and waist-to-height ratio in individuals with and without a diabetic background, and to assess the correlation of these markers with family history of diabetes. The cross-sectional comparative study comprised 80 subjects with confirmed normal glucose tolerance values. Parameters assessed included secreted frizzled related protein-4, fasting glucose, random glucose, fasting insulin, homeostasis model of assessment of insulin resistance and waist-toheight ratio values. Those without a diabetic background had significantly higher frizzled related protein-4 levels (p=0.02). Although subjects with family history of diabetes showed higher mean fasting glucose, waist circumference and waist-to-height ratio, these differences were not statistically significant (p>0.05). However, there was a strong positive correlation with waist circumference, waistto- height ratio, fasting insulin and homeostasis model of assessment of insulin resistance (p=0.0001). There was no significant correlation of diabetic background with frizzled related protein-4 SFRP-4, homeostasis model of assessment of insulin resistance and waist-to-height ratio (p>0.05).

Insulin Blood Levels in Gestational Diabetes Mellitus in Relation to Ethnicity and Age in the Kingdom of Bahrain: A Cross-Sectional Study.

BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. It may be attributed to certain placental hormones during pregnancy which render insulin less effective. Our study aimed to focus on the levels of insulin in gestational diabetic women in the Kingdom of Bahrain as compared with non-diabetic pregnant women. Furthermore, we studied the correlation between insulin levels by ethnicity and age of the pregnant women.  Methods: A cross-sectional study was conducted on 75 pregnant participants: 41 with GDM (test group) and 34 without GDM (control group). Insulin levels were determined in patients with GDM and compared to non-diabetic pregnant women. A comparison between Bahraini and non-Bahraini women was carried out in two different age groups: below and above 30 years of age. P values < 0.05 were considered significant. RESULTS: The results showed higher mean values of fasting blood glucose (FBG), random blood glucose (RBG), and insulin levels in the test group when compared to the control group. There was no significant difference in FBG, RBG, and insulin levels among Bahraini women with GDM and non-Bahraini women (Indian, Pakistani. Bengali, and Filipino) with GDM. Age, less than 30 vs more than 30 years, had no significant effect on women with GDM. CONCLUSION: Insulin levels were higher in pregnant women with GDM irrespective of their ethnicity or age. The lack of blood glucose control in GDM even in the presence of high insulin secretion may suggest loss of insulin effectiveness due to other factors such as stress and lactogenic placental hormones.

Admission blood glucose and 30-day mortality in patients with acute decompensated heart failure: prognostic significance in individuals with and without diabetes.

Objective: Diabetes is a significant risk factor for acute heart failure, associated with an increased risk of mortality. This study aims to analyze the prognostic significance of admission blood glucose (ABG) on 30-day mortality in Chinese patients with acute decompensated heart failure (ADHF), with or without diabetes. Methods: This retrospective study included 1,462 participants from the JX-ADHF1 cohort established between January 2019 to December 2022. We conducted multivariate cox regression, restricted cubic spline, receiver operating characteristic curve analysis, and mediation analysis to explore the association and potential mechanistic pathways (inflammation, oxidative stress, and nutrition) between ABG and 30-day mortality in ADHF patients, with and without diabetes. Results: During the 30-day follow-up, we recorded 20 (5.36%) deaths in diabetic subjects and 33 (3.03%) in non-diabetics. Multivariate Cox regression revealed that ABG was independently associated with 30-day mortality in ADHF patients, with a stronger association in diabetics than non-diabetics (hazard ratio: Model 1: 1.71 vs 1.16; Model 2: 1.26 vs 1.19; Model 3: 1.65 vs 1.37; Model 4: 1.76 vs 1.33). Further restricted cubic spline analysis indicated a U-shaped relationship between ABG and 30-day mortality in non-diabetic ADHF patients (P for non-linearity < 0.001), with the lowest risk at ABG levels approximately between 5-7 mmol/L. Additionally, receiver operating characteristic analysis demonstrated that ABG had a higher predictive accuracy for 30-day mortality in diabetics (area under curve = 0.8751), with an optimal threshold of 13.95mmol/L. Finally, mediation analysis indicated a significant role of inflammation in ABG-related 30-day mortality in ADHF, accounting for 11.15% and 8.77% of the effect in diabetics and non-diabetics, respectively (P-value of proportion mediate < 0.05). Conclusion: Our study confirms that ABG is a vital indicator for assessing and predicting 30-day mortality risk in ADHF patients with diabetes. For ADHF patients, both with and without diabetes, our evidence suggests that physicians should be alert and closely monitor any changes in patient conditions when ABG exceeds 13.95 mmol/L for those with diabetes and 7.05 mmol/L for those without. Timely adjustments in therapeutic strategies, including endocrine and anti-inflammatory treatments, are advisable.

Comparison of laser and traditional lancing devices for capillary blood sampling in patients with diabetes mellitus and high bleeding risk.

PURPOSE: Despite the importance of self-monitoring blood glucose (SMBG) for management of diabetes mellitus (DM), frequent blood sampling is discouraged by bleeding risk due to dual-antiplatelet agent therapy (DAPT) or thrombocytopenia. METHODS: We compared the bleeding time (BT) of sampling by using a laser-lancing-device (LMT-1000) and a conventional lancet in patients with DM and thrombocytopenia or patients undergoing DAPT. BT was measured using the Duke method, and pain and satisfaction scores were assessed using numeric rating scale (NRS) and visual analog scale (VAS). The consistency in the values of glucose and glycated-hemoglobin (HbA1c) sampled using the LMT-1000 or lancet were compared. RESULTS: The BT of sampling with the LMT-1000 was shorter than that with the lancet in patients with thrombocytopenia (60s vs. 85s, P = 0.024). The NRS was lower and the VAS was higher in laser-applied-sampling than lancet-applied sampling in the DAPT-user group (NRS: 1 vs. 2, P = 0.010; VAS: 7 vs. 6, P = 0.003), whereas the group with thrombocytopenia only showed improvement in the VAS score (8 vs. 7, P = 0.049). Glucose and HbA1c sampled by the LMT-1000 and lancet were significantly correlated in both the DAPT-user and the thrombocytopenia groups. CONCLUSION: The LMT-1000 can promote SMBG by shortening BT in subject with thrombocytopenia and by increasing satisfaction score, as well as by showing reliable glucose and HbA1c value.

Fasting blood glucose as a screening measure for late-onset gestational diabetes in the third trimester.

OBJECTIVE: To investigate the positive rate of late-onset gestational diabetes mellitus (GDM) by additional fasting blood glucose (FBG) screening at 32-34 gestational weeks (GW) and analyse the perinatal outcomes of late-onset GDM after standard treatment. DESIGN: An Prospective cohort study. SETTING: Single centre in China. POPULATION: 1130 singleton pregnancies with negative GDM screening in their first and second trimester. METHODS: Additional FBG testing was performed at 32-34 GW. Pregnancies with FBG ≥5.1 mmol/L were diagnosed as GDM and received standardized treatment. Perinatal outcomes were collected and compared. MAIN OUTCOME MEASURES: Diagnosis of late-onset GDM, obstetric and neonatal outcomes. RESULTS: 6.3% (71/1130) of participants had FBG values ≥5.1 mmol/L and were diagnosed with late-onset GDM. Sixty-five (91.5%) were treated by dietary therapy and 6 (8.5%) by insulin therapy. The perinatal outcomes of full-term delivery were compared. The incidence of macrosomia (22.7% vs. 5.1%, adjusted odds ratio (aOR) 5.51, 95% confidence interval (CI) 1.83-16.61, p = 0.002) and NICU transferring (18.3% vs. 10.1%, aOR 1.94, 95% CI 1.01-3.74, p = 0.046) was significantly higher in late-onset GDM group than that in FBG <5.1 mmol/L group. Elevated FBG was associated with overweight or obesity during pregnancy (54.9% vs. 34.9%, OR 2.27, 95% CI 1.40-3.68, p = 0.001). CONCLUSIONS: 6.3% of singleton pregnancies with normal GDM screening results in the first and second trimester were found to have late-onset GDM by additional FBG screening at 32-34 GW, and their risk of macrosomia during a full-term pregnancy remains significantly higher after standard treatment.

The Importance of Metabolic Factors in Endometrial Cancer: Evaluating the Utility of the Triglyceride-to-Glycemia Index and Triglyceride-to-High-Density Lipoprotein Ratio As Biomarkers.

Introduction Endometrial cancer (EC) is the most common gynecological malignancy in developed countries worldwide. Its incidence is rising, making it a significant public health concern. The relationship between lipids, hyperglycemia, and anthropometric risk factors in the development of EC has gained increasing attention in recent years. Understanding the role of dyslipidemia as a part of metabolic syndrome is crucial for developing effective prevention and treatment strategies for EC. We investigate the association between dyslipidemia, hyperglycemia, and EC. This study aims to elucidate the potential contribution of altered lipid profiles and chronic hyperglycemia to endometrial carcinogenesis. By analyzing patients with benign and malignant endometrial pathologies, we seek to identify novel biomarkers and unravel the underlying mechanisms by which these metabolic factors influence the risk of developing EC. Material and methods Our retrospective unicentric study included 390 patients (192 diagnosed with EC and 198 with endometrial hyperplasia), in which we compared the clinical and biochemical characteristics, with a particular focus on lipid profiles and glycemic indices sampled 24-48 hours before surgery. The data obtained from the medical records were analyzed using statistical methods to compare selected metabolic factors between EC and endometrial hyperplasia. Results Our analysis revealed statistically significant differences in metabolic health and lipid profiles between patients diagnosed with EC and those with endometrial hyperplasia. The EC group exhibits trends towards higher levels of triglycerides (TG) and glycated hemoglobin, alongside a higher BMI. Notably, high-density lipoprotein cholesterol levels were lower in the EC group. Conclusion Although the triglycerides-to-fasting blood glucose index and the triglycerides-to-high-density lipoprotein cholesterol ratio did not demonstrate sufficient discriminatory power for predicting myometrial invasion depth in this study, further exploration of cost-effective emerging biomarkers warrants investigation in future studies.