Search

Type 2 diabetes is contemporarily a major social and epidemiological problem and among others is a strong risk factor for cardiovascular diseases. Pentraxin 3, a potential early biomarker of atherosclerosis, is an acute-phase reactant produced by the peripheral tissues where the inflammation takes place. In this study we examined a group of patients with type 2 diabetes with and without cardiovascular complications compared to persons with normal glucose tolerance (patients with cardiovascular complications and healthy volunteers). Plasma pentraxin 3 concentration as well as some basic biochemical blood analysis were performed. Moreover, transcranial and carotid Doppler ultrasound examination as well as transthoracic echocardiography were performed. It turned out that there was an association of plasma pentraxin 3 concentration and carotid atherosclerosis found in the control group of patients with cardiovascular complications but with normal glucose tolerance. In the group of patients with type 2 diabetes and cardiovascular complications we have found an association of plasma pentraxin 3 concentration with diastolic left ventricular dysfunction. Additionally, in the group of patients with type 2 diabetes without cardiovascular disease plasma pentraxin 3 concentration was associated with elevated urinary albumin creatinine ratio. Further studies, on a larger group of patients, are required to confirm these observations.

Introduction: Metformin is the most prescribed medication for type 2 diabetes mellitus (T2DM); there is a well-established link with the elevated incidence of gastrointestinal (GI) adverse events (AE) limiting its administration or intensification., Objectives: The objective of this systematic review and meta-analysis of observational studies was to evaluate the pooled incidence of GI AE related to metformin use in patients with T2DM., Materials and Methods: PUB MED/CINAHL/Web of Science/Scopus were searched from database inception until 29.07.2024 for observational studies in English describing the frequency of GI AE in patients with T2DM treated with metformin. Random-effects meta-analyses were used to derive effect sizes: event rates., Results: From 7019 publications, we identified 211 potentially eligible full-text articles. Ultimately, 21 observational studies were included in the meta-analysis. The prevalence of GI AE was as follows: diarrhea 6.9% (95% CI: 0.038-0.123), bloating 6,2% (95% CI: 0.020-0.177), abdominal pain 5,3% (95% CI: 0.003-0.529), vomiting 2.4% (95%: CI 0.007-0.075), constipation 1.1% (95%: CI 0.001-0.100). The incidence of bloating (coefficient -4.46; p < 0.001), diarrhea (coefficient -1.17; p = 0.0951) abdominal pain (coefficient -2.80; p = 0.001), constipation (coefficient -5.78; p = 0.0014) and vomiting (coefficient -2.47; p < 0.001) were lower for extended release (XR) metformin than metformin immediate release (IR) formulation., Conclusions: This study highlights the prevalence of GI AE in patients receiving metformin, with a diarrhea predominance, followed by bloating, diarrhea, abdominal pain, constipation, and vomiting. The incidence is lower in patients administered with XR metformin., Trial Registration: https://www.crd.york.ac.uk/prospero/display&#95;record.php?ID=CRD42021289975 , identifier CRD42021289975., (© 2024. The Author(s).)

Background: There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim of this study was to analyse the risk of major CV adverse events in people with DM according to the presence of obesity and comorbidities (hypertension, chronic kidney disease, and dyslipidaemia)., Methods: We analysed persons who were enrolled in the prospective Silesia Diabetes Heart Project (NCT05626413). Individuals were divided into 6 categories according to the presence of different clinical risk factors (obesity and CKM comorbidities): (i) Group 1: non-obese with 0 CKM comorbidities; (ii) Group 2: non-obese with 1-2 CKM comorbidities; (iii) Group 3: non-obese with 3 CKM comorbidities (non-obese "extremely unhealthy"); (iv) Group 4: obese with 0 CKM comorbidities; (v) Group 5: obese with 1-2 CKM comorbidities; and (vi) Group 6: obese with 3 CKM comorbidities (obese "extremely unhealthy"). The primary outcome was a composite of CV death, myocardial infarction (MI), new onset of heart failure (HF), and ischemic stroke., Results: 2105 people with DM were included [median age 60 (IQR 45-70), 48.8% females]. Both Group 1 and Group 6 were associated with a higher risk of events of the primary composite outcome (aHR 4.50, 95% CI 1.20-16.88; and aHR 3.78, 95% CI 1.06-13.47, respectively). On interaction analysis, in "extremely unhealthy" persons the impact of CKM comorbidities in determining the risk of adverse events was consistent in obese and non-obese ones (P int =0.824), but more pronounced in individuals aged < 65 years compared to older adults (P int = 0.028)., Conclusion: Both non-obese and obese people with DM and 3 associated CKM comorbidities represent an "extremely unhealthy" phenotype which are at the highest risk of CV adverse events. These results highlight the importance of risk stratification of people with DM for risk factor management utilising an interdisciplinary approach., (© 2024. The Author(s).)

Background: Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical practice, in contrast to fundus retinal imaging which is accessible and routinely performed. Whether artificial intelligence (AI) utilizing retinal images collected through diabetic eye screening can provide an efficient diagnostic method for CAN is unknown., Methods: This was a single center, observational study in a cohort of patients with DM as a part of the Cardiovascular Disease in Patients with Diabetes: The Silesia Diabetes-Heart Project (NCT05626413). To diagnose CAN, we used standard CV autonomic reflex tests. In this analysis we implemented AI-based deep learning techniques with non-mydriatic 5-field color fundus imaging to identify patients with CAN. Two experiments have been developed utilizing Multiple Instance Learning and primarily ResNet 18 as the backbone network. Models underwent training and validation prior to testing on an unseen image set., Results: In an analysis of 2275 retinal images from 229 patients, the ResNet 18 backbone model demonstrated robust diagnostic capabilities in the binary classification of CAN, correctly identifying 93% of CAN cases and 89% of non-CAN cases within the test set. The model achieved an area under the receiver operating characteristic curve (AUCROC) of 0.87 (95% CI 0.74-0.97). For distinguishing between definite or severe stages of CAN (dsCAN), the ResNet 18 model accurately classified 78% of dsCAN cases and 93% of cases without dsCAN, with an AUCROC of 0.94 (95% CI 0.86-1.00). An alternate backbone model, ResWide 50, showed enhanced sensitivity at 89% for dsCAN, but with a marginally lower AUCROC of 0.91 (95% CI 0.73-1.00)., Conclusions: AI-based algorithms utilising retinal images can differentiate with high accuracy patients with CAN. AI analysis of fundus images to detect CAN may be implemented in routine clinical practice to identify patients at the highest CV risk., Trial Registration: This is a part of the Silesia Diabetes-Heart Project (Clinical-Trials.gov Identifier: NCT05626413)., (© 2024. The Author(s).)

Introduction: From 2008 and following the withdrawal of rosiglitazone, obligatory cardiovascular outcomes trials are performed for glucose lowering drugs introduced to the market to ensure their cardiovascular (CV) safety. Paradoxically, these studies have demonstrated CV safety but also shown additional cardio-reno-vascular protection of some therapeutic agents. Additionally, nonsteroidal mineralocorticoid receptor antagonists (ns-MRA) have emerged as novel drugs for cardio - and renoprotection in type 2 diabetes (T2D) and chronic kidney disease (CKD). In addition to atherosclerotic CV disease, heart failure (HF) and CKD are important clinical problems in T2D leading to poor quality of life and premature death as such cardio-reno-vascular protection is an important clinical issue., Areas Covered: We provide new insights into pharmacotherapeutic cardio-reno-vascular protection in T2D based on the new glucose lowering drugs and ns-MRA. PUB MED/CINAHL/Web of Science/Scopus were searched (May 2024)., Expert Opinion: The conventional glucose lowering approach alone which was implemented for decades is now replaced by the use of disease modifying drugs which lower the rates of CV events, HF decompensation, hospitalization due to HF, slow progression of CKD and all-cause mortality. Indeed, the choice of medications in T2D should be focused on underlying co-morbidities with cardio-reno-vascular protection rather than a gluco-centric approach.

Context: The presence of metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with diabetes mellitus (DM) is associated with a high risk of cardiovascular disease, but is often underdiagnosed., Objective: To develop machine learning (ML) models for risk assessment of MASLD occurrence in patients with DM., Methods: Feature selection determined the discriminative parameters, utilized to classify DM patients as those with and without MASLD. The performance of the multiple logistic regression model was quantified by sensitivity, specificity, and percentage of correctly classified patients, and receiver operating characteristic (ROC) curve analysis. Decision curve analysis (DCA) assessed the model's net benefit for alternative treatments., Results: We studied 2000 patients with DM (mean age 58.85 ± 17.37 years; 48% women). Eight parameters: age, body mass index, type of DM, alanine aminotransferase, aspartate aminotransferase, platelet count, hyperuricaemia, and treatment with metformin were identified as discriminative. The experiments for 1735 patients show that 744/991 (75.08%) and 586/744 (78.76%) patients with/without MASLD were correctly identified (sensitivity/specificity: 0.75/0.79). The area under ROC (AUC) was 0.84 (95% CI, 0.82-0.86), while DCA showed a higher clinical utility of the model, ranging from 30% to 84% threshold probability. Results for 265 test patients confirm the model's generalizability (sensitivity/specificity: 0.80/0.74; AUC: 0.81 [95% CI, 0.76-0.87]), whereas unsupervised clustering identified high-risk patients., Conclusion: A ML approach demonstrated high performance in identifying MASLD in patients with DM. This approach may facilitate better risk stratification and cardiovascular risk prevention strategies for high-risk patients with DM at risk of MASLD., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society.)

Aim: To develop and employ machine learning (ML) algorithms to analyse electrocardiograms (ECGs) for the diagnosis of cardiac autonomic neuropathy (CAN)., Materials and Methods: We used motif and discord extraction techniques, alongside long short-term memory networks, to analyse 12-lead, 10-s ECG tracings to detect CAN in patients with diabetes. The performance of these methods with the support vector machine classification model was evaluated using 10-fold cross validation with the following metrics: accuracy, precision, recall, F1 score, and area under the receiver-operating characteristic curve (AUC)., Results: Among 205 patients (mean age 54 ± 17 years, 54% female), 100 were diagnosed with CAN, including 38 with definite or severe CAN (dsCAN) and 62 with early CAN (eCAN). The best model performance for dsCAN classification was achieved using both motifs and discords, with an accuracy of 0.92, an F1 score of 0.92, a recall at 0.94, a precision of 0.91, and an excellent AUC of 0.93 (95% confidence interval [CI] 0.91-0.94). For the detection of any stage of CAN, the approach combining motifs and discords yielded the best results, with an accuracy of 0.65, F1 score of 0.68, a recall of 0.75, a precision of 0.68, and an AUC of 0.68 (95% CI 0.54-0.81)., Conclusion: Our study highlights the potential of using ML techniques, particularly motifs and discords, to effectively detect dsCAN in patients with diabetes. This approach could be applied in large-scale screening of CAN, particularly to identify definite/severe CAN where cardiovascular risk factor modification may be initiated., (© 2024 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: For decades, metformin has been the drug of first choice in the management of type 2 diabetes. However, approximately 2-13% of patients do not tolerate metformin due to gastrointestinal (GI) side effects. Since metformin influences the gut microbiota, we hypothesized that a multi-strain probiotics supplementation would mitigate the gastrointestinal symptoms associated with metformin usage., Methods and Analysis: This randomized, double-blind, placebo-controlled, single-center, cross-over trial (ProGasMet study) assessed the efficacy of a multi-strain probiotic in 37 patients with metformin intolerance. Patients were randomly allocated (1:1) to receive probiotic (PRO-PLA) or placebo (PLA-PRO) at baseline and, after 12 weeks (period 1), they crossed-over to the other treatment arm (period 2). The primary outcome was the reduction of GI adverse events of metformin., Results: 37 out of 82 eligible patients were enrolled in the final analysis of whom 35 completed the 32 weeks study period and 2 patients resigned at visit 5. Regardless of the treatment arm allocation, while on probiotic supplementation, there was a significant reduction of incidence (for the probiotic period in PRO-PLA/PLA-PRO: P = 0.017/P = 0.054), quantity and severity of nausea (P = 0.016/P = 0.024), frequency (P = 0.009/P = 0.015) and severity (P = 0.019/P = 0.005) of abdominal bloating/pain as well as significant improvement in self-assessed tolerability of metformin (P < 0.01/P = 0.005). Moreover, there was significant reduction of incidence of diarrhea while on probiotic supplementation in PRO-PLA treatment arm (P = 0.036)., Conclusion: A multi-strain probiotic diminishes the incidence of gastrointestinal adverse effects in patients with type 2 diabetes and metformin intolerance., Competing Interests: Declaration of Competing Interest IŁ owns shares in Sanprobi sp. z o. o. sp. k., a probiotics distributor. KS-Ż has served as a speaker and consultant for Sanprobi sp. z o.o. sp. k. and has received research funding from Sanprobi sp. z o.o. sp. k. MK is an employee of Sanprobi sp. z o.o. sp. k. KN received speaker’s fee from Sanprobi sp. z o. o. sp. k. JG received speaker’s fee, non-restrictive educational grant. FH has no conflicts of interest regarding this paper. MN is founder and scientific advisor of Caelus Health, however none of this bears any relevance to the content of the current paper. The other authors declare that they have no competing interests., (Copyright © 2023 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Background: Diabetes mellitus (DM), heart failure (HF) and metabolic dysfunction associated steatotic liver disease (MASLD) are overlapping diseases of increasing prevalence. Because there are still high numbers of patients with HF who are undiagnosed and untreated, there is a need for improving efforts to better identify HF in patients with DM with or without MASLD. This study aims to develop machine learning (ML) models for assessing the risk of the HF occurrence in patients with DM with and without MASLD., Research Design and Methods: In the Silesia Diabetes-Heart Project (NCT05626413), patients with DM with and without MASLD were analyzed to identify the most important HF risk factors with the use of a ML approach. The multiple logistic regression (MLR) classifier exploiting the most discriminative patient's parameters selected by the χ2 test following the Monte Carlo strategy was implemented. The classification capabilities of the ML models were quantified using sensitivity, specificity, and the percentage of correctly classified (CC) high- and low-risk patients., Results: We studied 2000 patients with DM (mean age 58.85 ± SD 17.37 years; 48% women). In the feature selection process, we identified 5 parameters: age, type of DM, atrial fibrillation (AF), hyperuricemia and estimated glomerular filtration rate (eGFR). In the case of MASLD( +) patients, the same criterion was met by 3 features: AF, hyperuricemia and eGFR, and for MASLD(-) patients, by 2 features: age and eGFR. Amongst all patients, sensitivity and specificity were 0.81 and 0.70, respectively, with the area under the receiver operating curve (AUC) of 0.84 (95% CI 0.82-0.86)., Conclusion: A ML approach demonstrated high performance in identifying HF in patients with DM independently of their MASLD status, as well as both in patients with and without MASLD based on easy-to-obtain patient parameters., (© 2023. The Author(s).)

Aims: As cardiovascular disease (CVD) is a leading cause of death for patients with diabetes mellitus (DM), we aimed to find important factors that predict cardiovascular (CV) risk using a machine learning (ML) approach., Methods and Results: We performed a single center, observational study in a cohort of 238 DM patients (mean age ± SD 52.15 ± 17.27 years, 54% female) as a part of the Silesia Diabetes-Heart Project. Having gathered patients' medical history, demographic data, laboratory test results, results from the Michigan Neuropathy Screening Instrument (assessing diabetic peripheral neuropathy) and Ewing's battery examination (determining the presence of cardiovascular autonomic neuropathy), we managed use a ML approach to predict the occurrence of overt CVD on the basis of five most discriminative predictors with the area under the receiver operating characteristic curve of 0.86 (95% CI 0.80-0.91). Those features included the presence of past or current foot ulceration, age, the treatment with beta-blocker (BB) and angiotensin converting enzyme inhibitor (ACEi). On the basis of the aforementioned parameters, unsupervised clustering identified different CV risk groups. The highest CV risk was determined for the eldest patients treated in large extent with ACEi but not BB and having current foot ulceration, and for slightly younger individuals treated extensively with both above-mentioned drugs, with relatively small percentage of diabetic ulceration., Conclusions: Using a ML approach in a prospective cohort of patients with DM, we identified important factors that predicted CV risk. If a patient was treated with ACEi or BB, is older and has/had a foot ulcer, this strongly predicts that he/she is at high risk of having overt CVD., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Microvascular complications of diabetes seem to be clustered and put patients at higher risk of developing cardiovascular disease (CVD). This was a questionnaire-based study designed to screen for the presence of diabetic peripheral neuropathy (DPN), defined as the score in the Michigan Neuropathy Screening Instrument (MNSI) above 2, and to evaluate its association with other complication of diabetes, including CVD. There were 184 patients included into the study. The prevalence of DPN in the study group was 37.5%. The regression model analysis revealed that the presence of DPN was significantly associated with the presence of diabetic kidney disease (DKD) (P = 0.0034;) and patient's age (P < 0.0001). Thirty-four patients (49.3%) with MNSI score >2 were diagnosed with CVD in comparison to 24 (20.1%) subjects with MNSI score ≤ 2 (P = 0.00006). In case of having one diabetes complication diagnosed, it is important to screen for others, including macrovascular ones., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

iGlarLixi is a fixed-ratio combination of insulin glargine 100 U/mL and lixisenatide used in the treatment of type 2 diabetes. iGlarLixi has proven clinical benefits in terms of glycemia, weight control, and safety, defined by the risk of hypoglycemia. It simultaneously targets many pathophysiologic abnormalities which are at the root of type 2 diabetes and thus presents a complementary mode of action. Finally, it may also address diabetes treatment burden, and, by decreasing the complexity of treatment, it may improve patient adherence and persistence and fight against clinical inertia. This article reviews the results of major randomized controlled trials in people with type 2 diabetes that compared iGlarLixi to other therapeutic regimens, representing different intensification strategies, such as basal supported oral therapy, oral antidiabetic drugs, and a combination of the latter with glucagon-like peptide 1 receptor agonists. Moreover, as a supplement to randomized trials, data from real-world evidence have also been included., (© 2023. The Author(s).)

There is increasing interest in sodium-glucose cotransporter 2 inhibitors (SGLT2i) as not only a new oral glucose-lowering drug class but also one with cardio- and nephroprotective potential. Understanding the underlying mechanisms is therefore of great interest, and postulated benefits have included increased natriuresis, lower blood pressure, increased haematocrit, enhanced cardiac fatty acid utilization, reduced low-grade inflammation, and decreased oxidative stress. In particular, redox homeostasis seems to be crucial in the pathogenesis of heart and kidney disease in diabetes, and there is accumulating evidence that SGLT2i have beneficial effects in this perspective. In this review, we aimed to summarize the potential mechanisms of the influence of SGLT2i on oxidative stress parameters in animal and human studies, with a special focus on heart failure and chronic kidney disease in diabetes mellitus.

We aimed to develop a machine learning (ML) model for predicting cardiovascular (CV) events in patients with diabetes (DM). This was a prospective, observational study where clinical data of patients with diabetes hospitalized in the diabetology center in Poland (years 2015-2020) were analyzed using ML. The occurrence of new CV events following discharge was collected in the follow-up time for up to 5 years and 9 months. An end-to-end ML technique which exploits the neighborhood component analysis for elaborating discriminative predictors, followed by a hybrid sampling/boosting classification algorithm, multiple logistic regression (MLR), or unsupervised hierarchical clustering was proposed. In 1735 patients with diabetes (53% female), there were 150 (8.65%) ones with a new CV event in the follow-up. Twelve most discriminative patients' parameters included coronary artery disease, heart failure, peripheral artery disease, stroke, diabetic foot disease, chronic kidney disease, eosinophil count, serum potassium level, and being treated with clopidogrel, heparin, proton pump inhibitor, and loop diuretic. Utilizing those variables resulted in the area under the receiver operating characteristic curve (AUC) ranging from 0.62 (95% Confidence Interval [CI] 0.56-0.68, P < 0.01) to 0.72 (95% CI 0.66-0.77, P < 0.01) across 5 nonoverlapping test folds, whereas MLR correctly determined 111/150 (74.00%) high-risk patients, and 989/1585 (62.40%) low-risk patients, resulting in 1100/1735 (63.40%) correctly classified patients (AUC: 0.72, 95% CI 0.66-0.77). ML algorithms can identify patients with diabetes at a high risk of new CV events based on a small number of interpretable and easy-to-obtain patients' parameters., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Introduction: Vitamin D (VD) has a pleiotropic effect on many health‑related aspects, yet the results of studies regarding vitamin D deficiency (VDD) and both glycemic control and cardiovascular disease (CVD) are conflicting., Objective: The aim of this work was to determine the prevalence of VDD and its associations with CVD and glycemic control among patients with type 2 diabetes mellitus (T2DM)., Patients and Methods: This was an observational study in T2DM patients recruited at the diabetology clinic in Zabrze, Poland (April-September 2019 and April-September 2020). The presence of CVD was determined based on medical records. Blood biochemical parameters, densitometry, and carotid artery ultrasound examination were performed. Control of diabetes was assessed based on glycated hemoglobin A1c (HbA1c) levels. A serum VD level below 20 ng/ml was considered as VDD., Results: The prevalence of VDD in 197 patients was 36%. CVD was evident in 27% of the patients with VDD and in 33% of the patients with VD within the normal range (vitamin D sufficiency [VDS]) (P = 0.34). The difference between the groups regarding diabetes control was insignificant (P = 0.05), as for the VDD patients the median value (interquartile range) of HbA1c was 7.5% (6.93%-7.9%), and for VDS patients it was 7.5% (6.56%-7.5%). The VDD patients were more often treated with sodium‑glucose cotransporter‑2 inhibitors (SGLT‑2is) (44% vs 25%; P = 0.01)., Conclusions: About one‑third of the patients showed VDD. The VDD and VDS groups did not differ in terms of CVD occurrence and the difference in glycemic control was insignificant. The patients with VDD were more often treated with SGLT‑2is, which requires further investigation.

Background: The transition period of patients with type 1 diabetes from pediatric to adult-oriented health care is associated with poorer glycemic control and less frequent clinic attendance. Fears and anxiety about the unknown, care approach differences in adult settings, and sadness about leaving the pediatric provider all contribute to a patient's reluctance to transition., Objective: This study aimed to evaluate the psychological parameters of young patients with type 1 diabetes transitioning to an adult outpatient clinic during the first visit., Methods: We examined 50 consecutive patients (n=28, 56% female) transitioning from March 2, 2021, to November 21, 2022, into adult care (3 diabetes centers from 3 regions in southern Poland: A, n=16; B, n=21; and C, n=13) and their basic demographic information. They completed the following psychological questionnaires: State-Trait Anxiety Inventory (STAI), Generalized Self-Efficacy Scale, Perceived Stress Scale, Satisfaction with Life Scale, Acceptance of Illness Scale, Multidimensional Health Locus of Control Scale Form C, Courtauld Emotional Control Scale, and Quality of Life Questionnaire Diabetes. We compared their data with those for the general healthy population and patients with diabetes from Polish Test Laboratory validation studies., Results: During the first adult outpatient visit, patients' mean age was 19.2 (SD 1.4) years, with a diabetes duration of 9.8 (SD 4.3) years and BMI of 23.5 (SD 3.1) kg/m 2 . Patients came from diverse socioeconomic backgrounds: 36% (n=18) live in villages, 26% (n=13) live in towns with ≤100,000 inhabitants, and 38% (n=19) live in bigger cities. Regarding therapy type, 68% (n=34) were treated with insulin pump therapy, whereas 32% (n=16) were treated with multiple daily injections. Patients from center A had a mean glycated hemoglobin level of 7.5% (SD 1.2%). There was no difference regarding the level of life satisfaction, perceived level of stress, and state anxiety between the patients and reference populations. Patients had similar health locus of control and negative emotions control to the general population of patients with diabetes. Most patients (n=31, 62%) believe that control over their health depends on themselves, whereas 52% (n=26) believe that it depends mostly on others. Patients had higher levels of suppression of negative emotions-anger, depression, and anxiety-than the age-matched general population. Additionally, the patients were characterized by a higher acceptance of illness and higher level of self-efficacy compared to the reference populations: 64% (n=32) had a high level of self-efficacy and 26% (n=13) had a high level of life satisfaction., Conclusions: This study indicated that young patients transitioning to adult outpatient clinics have good psychological resources and coping mechanisms, which might result in adequate adaptation and adult life satisfaction including future metabolic control. These result also disprove the stereotypes that young people with chronic disease have worse life perspectives when entering adulthood., (©Katarzyna Cyranka, Anna Juza, Hanna Kwiendacz, Katarzyna Nabrdalik, Janusz Gumprecht, Maciej Małecki, Tomasz Klupa, Bartłomiej Matejko. Originally published in JMIR Formative Research (https://formative.jmir.org), 29.05.2023.)

Type 2 diabetes mellitus (T2DM) and diminished myocardial perfusion increase the risk of heart failure (HF) and/or all-cause mortality during 6-year follow up following primary percutaneous coronary intervention (pPCI) for ST elevation myocardial infarction (STEMI). The aim of the present study was to evaluate the impact of myocardial perfusion on infarct size and left ventricular ejection fraction (LVEF) in patients with T2DM and STEMI treated with pPCI. This is an ancillary analysis of an observational cohort study of T2DM patients with STEMI. We enrolled 406 patients with STEMI, including 104 with T2DM. Myocardial perfusion was assessed with the Quantitative Myocardial Blush Evaluator (QUBE) and infarct size with the creatine kinase myocardial band (CK-MB) maximal activity and troponin area under the curve. LVEF was measured with biplane echocardiography using Simpson's method at admission and hospital discharge. Analysis of covariance was used for modeling the association between myocardial perfusion, infarct size and left ventricular systolic function. Patients with T2DM and diminished perfusion (QUBE below median) had the highest CK-MB maximal activity (252.7 ± 307.2 IU/L, P < 0.01) along with the lowest LVEF (40.6 ± 10.0, P < 0.001). Older age (p = 0.001), QuBE below median (p = 0.026), and maximal CK-MB activity (p < 0.001) were independent predictors of LVEF. Diminished myocardial perfusion assessed by QuBE predicts significantly larger enzymatic infarct size and lower LVEF among patients with STEMI treated with pPCI, regardless of diabetes status., (© 2023. The Author(s).)

Background: Nonalcoholic fatty liver disease is associated with an increased cardiovascular disease (CVD) risk, although the exact mechanism(s) are less clear. Moreover, the relationship between newly redefined metabolic-associated fatty liver disease (MAFLD) and CVD risk has been poorly investigated. Data-driven machine learning (ML) techniques may be beneficial in discovering the most important risk factors for CVD in patients with MAFLD., Methods: In this observational study, the patients with MAFLD underwent subclinical atherosclerosis assessment and blood biochemical analysis. Patients were split into two groups based on the presence of CVD (defined as at least one of the following: coronary artery disease; myocardial infarction; coronary bypass grafting; stroke; carotid stenosis; lower extremities artery stenosis). The ML techniques were utilized to construct a model which could identify individuals with the highest risk of CVD. We exploited the multiple logistic regression classifier operating on the most discriminative patient's parameters selected by univariate feature ranking or extracted using principal component analysis (PCA). Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) were calculated for the investigated classifiers, and the optimal cut-point values were extracted from the ROC curves using the Youden index, the closest to (0, 1) criteria and the Index of Union methods., Results: In 191 patients with MAFLD (mean age: 58, SD: 12 years; 46% female), there were 47 (25%) patients who had the history of CVD. The most important clinical variables included hypercholesterolemia, the plaque scores, and duration of diabetes. The five, ten and fifteen most discriminative parameters extracted using univariate feature ranking and utilized to fit the ML models resulted in AUC of 0.84 (95% confidence interval [CI]: 0.77-0.90, p < 0.0001), 0.86 (95% CI 0.80-0.91, p < 0.0001) and 0.87 (95% CI 0.82-0.92, p < 0.0001), whereas the classifier fitted over 10 principal components extracted using PCA followed by the parallel analysis obtained AUC of 0.86 (95% CI 0.81-0.91, p < 0.0001). The best model operating on 5 most discriminative features correctly identified 114/144 (79.17%) low-risk and 40/47 (85.11%) high-risk patients., Conclusion: A ML approach demonstrated high performance in identifying MAFLD patients with prevalent CVD based on the easy-to-obtain patient parameters., (© 2022. The Author(s).)

Currently, there are about 150-200 million diabetic patients treated with insulin globally. The year 2021 is special because the 100th anniversary of the insulin discovery is being celebrated. It is a good occasion to sum up the insulin pen technology invention and improvement which are nowadays the leading mode of an insulin delivery. Even though so many years have passed, insulin is still administered subcutaneously, that is why devices to deliver it are of great importance. Insulin pens have evolved only through the last decades (the reusable, durable pens, and the disposable, prefilled pens) and modern smart insulin pens have been developed in the last few years, and both types of the devices compared to traditional syringes and vials are more convenient, discrete in use, have better dosing accuracy, and improve adherence. In this review, we will focus on the history of insulin pens and their improvement over the previous decades., Competing Interests: MMas works for Bioton S.A. KN and JG received lecture honoraria from Bioton S.A., Eli Lilly, Sanofi Aventis, Novo Nordisk and Polfa Tarchomin. HK received lecture honoraria from Sanofi Aventis. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer MH declared a shared affiliation with the authors to the handling editor at the time of review., (Copyright © 2022 Masierek, Nabrdalik, Janota, Kwiendacz, Macherski and Gumprecht.)

Introduction: Diabetic kidney disease (DKD) pathogenesis is multifactorial and is a combination of metabolic, genetic, and environmental factors. Due to a long period of asymptomatic course, it is often diagnosed late when advanced stages of the disease are present. Among patients with diabetes, the presence of chemotactic cytokine receptor 5 (CCR5) gene polymorphism is suspected to be associated with the risk of DKD occurrence; however, the results of the research conducted so far are inconclusive. The aim of this study was to evaluate the CCR5 gene polymorphism (rs1799987, 59029 A/G) association with DKD among patients with type 2 diabetes mellitus (T2DM), who are residents of the Upper Silesia region of Poland., Material and Methods: CCR5 gene polymorphism (rs1799987, 59029 A/G) was assessed among consecutive patients with type 2 diabetes mellitus (T2DM) treated in a single outpatient diabetology clinic in Upper Silesia, Poland. Its association with DKD was examined. Additionally, selected clinical and demographic data were included in the analysis., Results: Among 467 eligible study patients, there was no association between examined CCR5 gene polymorphism and the presence of DKD in relation both to the American Diabetes Association definition (p = 0.6) and to the National Kidney Foundation definition (p = 0.3) of this complication., Conclusion: The presented study did not confirm the association between the examined gene polymorphism and the risk of DKD; further studies in this area are needed in order to establish or explicitly exclude this association.

Non-alcoholic fatty liver disease (NAFLD) is an increasingly common condition associated with type 2 diabetes (T2DM) and cardiovascular disease (CVD). Since systemic metabolic dysfunction underlies NAFLD, the current nomenclature has been revised, and the term metabolic-associated fatty liver disease (MAFLD) has been proposed. The new definition emphasizes the bidirectional relationships and increases awareness in looking for fatty liver disease among patients with T2DM and CVD or its risk factors, as well as looking for these diseases among patients with NAFLD. The most recommended treatment method of NAFLD is lifestyle changes, including dietary fructose limitation, although other treatment methods of NAFLD have recently emerged and are being studied. Given the focus on the liver-gut axis targeting, bacteria may also be a future aim of NAFLD treatment given the microbiome signatures discriminating healthy individuals from those with NAFLD. In this review article, we will provide an overview of the associations of fructose consumption, gut microbiota, diabetes, and CVD in patients with NAFLD.

Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have been recognized as potent antioxidant agents. Since SGLT2i are nephroprotective drugs, we aimed to examine the urine antioxidant status in patients with type 2 diabetes mellitus (T2DM). One hundred and one subjects participated in this study, including 37 T2DM patients treated with SGLT2i, 31 T2DM patients not using SGLT2i, and 33 healthy individuals serving as a control group. Total antioxidant capacity (TAC), superoxide dismutase (SOD), manganese superoxide dismutase (MnSOD), free thiol groups (R-SH, sulfhydryl groups), and catalase (CAT) activity, as well as glucose concentration, were assessed in the urine of all participants. Urine SOD and MnSOD activity were significantly higher among T2DM patients treated with SGLT2i than T2DM patients without SGLT2i treatment ( p = 0.009 and p = 0.003, respectively) and to the healthy controls ( p = 0.002 and p = 0.001, respectively). TAC was significantly lower in patients with T2DM treated with SGLT2i when compared to those not treated and healthy subjects ( p = 0.036 and p = 0.019, respectively). It could be hypothesized that the mechanism by which SGLT2i provides nephroprotective effects involves improvement of the SOD antioxidant activity. However, lower TAC might impose higher OS (oxidative stress), and elevation of SOD activity might be a compensatory mechanism., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Diana Nabrdalik-Leśniak et al.)

Introduction: It is well known that chronic hyperglycemia or chronic inflammation leads to both FOXO1 and Ang-2 gene (ANGPT2) expression induction in endothelial cells. ANGPT2 and FOXO1 relative gene expression in peripheral blood cells in diabetes and myocardial ischemia were not researched extensively., Aim: Our objective was to evaluate ANGPT2 and FOXO1 gene expression in peripheral blood cells in patients with non-ST elevation myocardial infarction (NSTEMI), both with and without type 2 diabetes mellitus (T2DM), and compare them to the results obtained from T2DM and control subjects., Material and Methods: This was a multi-center, prospective study of 138 NSTEMI patients with/without T2DM, T2DM and a control group. FOXO1, ANGPT2, TBP (TATA box binding protein - as a reference gene) gene expression levels in peripheral blood cells were measured in each patient. Electrocardiography and echocardiography with assessment of ejection fraction (EF) were performed. Patients with NSTEMI underwent urgent (< 24 h) coronarography and the SYNTAX score and GRACE 2.0 score were calculated., Results: The ANGPT2 gene relative expression in buffy coat in the analyzed samples was very low and detectable only in 11 patients from all groups (8.66% of all patients). The level of FOXO1 gene relative expression was significantly higher in patients with NSTEMI (median relative expression = 1.39) than in non-NSTEMI patients (median = 1.09) ( W = 1578, p < 0.05) regardless of the presence of T2DM. The FOXO1 gene relative expression was not correlated with GRACE 2.0 score or SYNTAX score of NSTEMI patients. We did not observe any significant change in FOXO1 gene expression after successful angioplasty., Conclusions: On the basis of our results we can conclude that analyzing the ANGPT2 gene relative expression in peripheral blood cells has no role in assessment of CAD complexity among patients with and without T2DM. FOXO1 gene relative expression in blood peripheral cells is elevated in patients with NSTEMI regardless of the presence of T2DM. FOXO1 expression does not decrease after successful percutaneous coronary intervention and is not correlated with the severity of CAD in patients with NSTEMI., Competing Interests: The authors declare no conflict of interest., (Copyright: © 2021 Termedia Sp. z o. o.)

The incidence of cardiometabolic diseases, such as obesity, diabetes, and cardiovascular diseases, is constantly rising. Successful lifestyle changes may limit their incidence, which is why researchers focus on the role of nutrition in this context. The outcomes of studies carried out in past decades have influenced dietary guidelines, which primarily recommend reducing saturated fat as a therapeutic approach for cardiovascular disease prevention, while limiting the role of sugar due to its harmful effects. On the other hand, a low-carbohydrate diet (LCD) as a method of treatment remains controversial. A number of studies on the effect of LCDs on patients with type 2 diabetes mellitus proved that it is a safe and effective method of dietary management. As for the risk of cardiovascular diseases, the source of carbohydrates and fats corresponds with the mortality rate and protective effect of plant-derived components. Additionally, some recent studies have focused on the gut microbiota in relation to cardiometabolic diseases and diet as one of the leading factors affecting microbiota composition. Unfortunately, there is still no precise answer to the question of which a single nutrient plays the most important role in reducing cardiometabolic risk, and this review article presents the current state of the knowledge in this field.

Type 2 diabetes mellitus (DM) has a detrimental impact on cardiovascular outcomes, with implications for prognosis following ST elevation myocardial infarction (STEMI).The aim was to evaluate the impact of DM and myocardial perfusion on the long-term risk of heart failure (HF) and/or all-cause mortality following primary percutaneous coronary intervention (pPCI) for STEMI. A total of 406 STEMI patients (104 with DM) treated with pPCI were enrolled in this observational study. Myocardial perfusion was reassessed with the Quantitative Myocardial Blush Evaluator. Follow-up data on HF (ICD10 [International Statistical Classification of Diseases] codes I50.0 - I50.9) and all-cause mortality were obtained from the National Health Fund. During a 6-year follow-up, 36 (35%) patients with DM died compared with 45 (15%) patients without DM (p <0.001). Also, 24 (23%) patients with DM developed HF compared with 51 (17%) patients without DM (p = 0.20). Patients with DM and HF had the highest mortality rate (75%), and those with DM and a QuBE score below the median value (9.0 arb. units) had significantly higher risk of HF (hazard ratio [HR] =1.96, 95% CI 1.18 to 3.27, p = 0.0099) and the composite of HF and/or all-cause mortality (HR = 1.89, 95% CI 1.33 to 2.69, p = 0.0004). In conclusion DM (type 2) and diminished myocardial perfusion increase the risk of HF and/or all-cause mortality during a 6-year follow-up after pPCI for STEMI., Competing Interests: Declaration of Interests The authors declare that they have no known competing financial interests or personal relations that could have appeared to influence the work reported in this study., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Insulin treatment is necessary for many patients with type 2 diabetes, and its delivery must be safe and comfortable. This study evaluated patients' safety and comfort when using a Gensulin ® delivery device, GensuPen (Bioton), a reusable insulin pen device for injecting Gensulin ® insulin among adult and elderly patients with type 2 diabetes. This was a 4-week multicenter, prospective, observational, open-label study in patients with diabetes mellitus type 2 who have recently started using a GensuPen. Overall, 10,309 patients (mean age: 63 ± 12.0 years; 47.9% female) were analyzed in this study. Of these, 2.5% had used an insulin delivery device before, and for 97.5%, GensuPen was the first delivery device they had used. Most (87.8%) of the patients rated the GensuPen as very good in setting the dose, 92.0% in confirmation of successful insulin administration, 80.9% in trigger location, and 75.0% in force needed for injection. The overall safety of the GensuPen use was high since severe hypoglycemia occurred only in 0.2% of the studied patients. There were 0.6% adverse events, none of which were serious. This real-life observation data shows that the GensuPen was well accepted and safe in this large patient population of adult and elderly patients with type 2 diabetes.

Background and Aims: Chronic spontaneous urticaria (CSU) and diabetes mellitus type 1 (T1DM) may compromise the quality of life (QoL). We decided to compare the QoL of T1DM patients to those suffering from CSU., Materials and Methods: Sixty-six patients with well-controlled T1DM (male 52%) in the mean age of (SD) 36.3 (11.09) years and 51 patients with CSU (male 33%) in the mean age of (SD) 35.8 (8.53) years were enrolled in this observational study. All the participants completed a Short-Form 36 (SF-36) QoL., Results: The QoL related to social functioning was significantly worse among CSU patients. There were differences related to gender found in the group of patients with T1DM-where men tended to declare a better quality of life than women ( p = 0.015)-especially in the area of energy/fatigue and pain. It appeared that due to physical and emotional problems occurring in married patients, the QoL is lower in T1DM group in comparison to the CSU one., Conclusions: The patients with CSU presented significantly worse social functioning compared to the ones with T1DM. This fact proves the QoL impairment level is not always related to the level of health danger. The differences in the QoL related to gender and marital status found among T1DM patients point to the necessity for further exploration in a larger group of patients. Due to the fact that optimal disease management should ensure patient's good emotional well-being, there is a need for additional psychological and social care for patients from those two groups.

Diabetic kidney disease (DKD) remains the leading cause of the end-stage renal disease (ESRD) and the most common reason for renal replacement therapy. Research has been carried out for years to find a marker that would enable early identification of people at risk of DKD occurrence, as well as people who will progress from DKD to ESRD. With regard to daily medical practice, the only existing prognostic biomarkers in DKD remain urine albumin-creatinine ratio based on the urinary assessment of albumin and creatinine, and estimated glomerular filtration rate - on the basis of serum creatinine concentration. The development of other biomarkers that would enable the identification of patients at risk of DKD, the stratification of the risk of progression to ESRD, as well as the creation of personalised therapy is currently of great interest. This article discusses selected studies in this field, which have been published in recent years.

Introduction: Multifactorial pathogenesis of diabetic kidney disease (DKD) consists of a combination of metabolic, environmental, and genetic factors. A genome-wide association study has shown that ELMO1 is a candidate gene for DKD occurrence and progression. The aim of this study was to assess the association of a single nucleotide polymorphism (rs741301) of the ELMO1 gene with DKD in Polish patients with type 2 diabetes (T2DM)., Material and Methods: This was a case/control study of 272 T2DM patients with or without DKD. Patients were divided into groups depending on DKD definition according to the American Diabetes Association (ADA) and the National Kidney Foundation (NKF). The association of the rs741301 polymorphism with DKD was assessed in the whole study group as well as in the subgroups stratified according to the presence of DKD., Results: There was no association between rs741301 polymorphisms and the presence of DKD in relation to the ADA definition (p = 0.6) or the NKF definition (p = 0.5) of DKD and with estimated glomelural filtration rate (eGFR) value reflecting the stage of the chronic kidney disease (p = 0.8)., Conclusions: Even though the results of this study are negative, there is still a great need for larger studies assessing the genetic susceptibility to DKD to identify patients who are particularly prone to this complication.

Introduction: Angiopoietin-2 (Ang-2) is a novel marker of coronary artery disease (CAD) and diabetes (DM). The aim was to evaluate Ang-2 as a potential new biomarker of non-ST elevation myocardial infarction (NSTEMI) in patients with or without type 2 DM (T2DM)., Material and Methods: This was a multi-center, prospective study that included 138 (males: 91/66%) consecutive patients hospitalized due to NSTEMI, T2DM, or different cardiac disorders. The subjects were divided into four study groups: group A: 28 patients with NSTEMI and T2DM; group B: 47 patients with NSTEMI without T2DM; group C: 31 patients with T2DM, without a history of CAD; group D: 32 patients as a control group. Patients with NSTEMI underwent urgent coronarography. Clinical characteristics including biomarkers (hs-CRP, hsTnT, NT-proBNP, VEGF, HbA 1c ), SYNTAX SCORE, type of intervention (PCI vs. CABG), and number of implanted stents were taken into account in the analysis., Results: Serum Ang-2 concentrations were significantly higher in patients with NSTEMI (group A: 1769 pg/ml; group B: 1757 pg/ml) and patients with T2DM (group C: 1993 pg/ml) as compared to the patients without CAD and without T2DM (group D: 866.8 pg/ml; p < 0.05). The prognostic accuracy of Ang-2 in NSTEMI diagnosis was determined with the area under the ROC curve (area under curve (AUC) = 0.63)., Conclusions: Angiopoietin-2 serum concentration is elevated in the presence of NSTEMI in patients with and without T2DM and does not correspond to the degree of myocardial injury and hemodynamic status. Ang-2 remains elevated also in patients with T2DM without a history of CAD., Competing Interests: The authors declare no conflict of interest., (Copyright: © 2019 Termedia & Banach.)

Nabrdalik, Katarzyna, Hanna Kwiendacz, Monika Gubała, Kinga Tyrała, Mariusz Seweryn, Andrzej Tomasik, Tomasz Sawczyn, Michał Kukla, Władysław Grzeszczak, and Janusz Gumprecht. Diabetes-related knowledge of Polish national mountain leaders. High Alt Med Biol. 19:237-243, 2018.-Mountain trekking is a popular activity for patients with diabetes. In Poland, mountain leaders often accompany organized groups to ensure their safety during treks; we aimed to evaluate their competency in caring for diabetic clients by assessing their diabetes-related knowledge. This was a cross-sectional study among Polish, certified, active mountain leaders carried out by means of an anonymous, standardized 41-item questionnaire adapted from a study by Wee et al. It was distributed through e-mail to 500 leaders. A total of 106 (21.2%) mountain leaders completed the questionnaire (males 60.4%) with a mean (standard deviation [SD]) age of 38.6 (13.5) years. Their mean (SD) length of experience acting as a mountain leader was 11.9 (10.2) years. The average score was 72.4% of the maximum possible (29.7 of 41 points). Results varied significantly depending on gender (p = 0.006). The percentage of correct answers among questions in each section varied between 23.6% and 100%. The main sources of diabetes-related knowledge identified by respondents were members of their family and their friends who suffer from diabetes (33%). First aid courses were indicated as sources of information by only 12.6% of the informants. Results of the questionnaire revealed that respondents did have a reasonable level of diabetes-related knowledge. There were topics in which the respondents achieved lower than an average score, demonstrating a need for further education.

Diabetes is a lifelong course disease, so insulin treatment has to be effective and safe, and patients should be satisfied with it. We aimed to compare efficacy, safety, and quality of treatment satisfaction of human and premixed analogue insulin among 3264 patients (53.58% women) with type 2 diabetes mellitus (T2DM) in a real-life environment. 2493 patients (62.77%) had been assigned to group I where before the inclusion into the study the treatment regimen has been changed from analogue to human premixed insulin and 771 patients (37.23%) to group II where the treatment with insulin analogue remained unchanged. At the end of the study, there was a reduction of HbA1c observed in both of the groups; however, Δ HbA1c was significantly higher in group 1 (-0.599 versus -0.406; P < 0.001 at visit 3 versus visit 1). The number of hypoglycemic episodes during the study observation was insignificantly reduced in both groups. Diabetes treatment satisfaction measured with DTSQ increased at the end of the study and was significantly better in group I compared to group II ( P < 0.001). This observational study proved that both human and premixed analogue insulin are effective and safe, and patients are satisfied with the treatment.

Introduction: According to the "common soil" hypothesis, diabetic microangiopathy and macroangiopathy have a similar pathophysiological background. It has been well documented that carotid artery atherosclerosis in patients with type 2 diabetes is associated with cardiovascular complications; however, it remains unclear whether there is a similar association for microvascular complications., Objectives: We investigated whether the carotid plaque score and the carotid intima-media thickness (IMT) are associated with macroangiopathic and microangiopathic complications of type 2 diabetes., Patients and Methods: We enrolled patients with type 2 diabetes and microvascular complications or overt macroangiopathy. A B‑mode carotid ultrasound was performed in all participants, and anthropometric parameters, hemoglobin A1c (HbA1c) levels, lipid profile, and smoking status were assessed., Results: The study included 73 patients (mean [SD] age, 63.6 [7.5] years; 36 men [49%]). The mean (SD) diabetes duration was 11.7 (8.1) years. Microvascular complications were observed in 32 patients (43.8%), and overt macroangiopathy, in 42 (57.5%). Hypertension was reported for 60 patients (82%); dyslipidemia, for 56 (77%); obesity, for 37 (51%); and smoking, for 10 (14%). A multivariate regression analysis showed that the carotid plaque score, but not carotid IMT, was significantly associated with dyslipidemia (P = 0.03) and microangiopathy (P = 0.01)., Conclusions: Our results indicate that, unlike carotid IMT, the carotid plaque score is independently associated with microangiopathic complications in type 2 diabetes. Patients with a high plaque score should receive special care and the most intensive treatment to stop progression of these complications.