Assessment of knowledge, attitude, and practices regarding the relationship of obesity with diabetes among the general community of Pakistan

This study sought to evaluate the influence of knowledge, attitude, and practices assessment on diabetes related to obesity in Pakistani society. Data was collected both through door to door and online survey approaches from 518 participants by using a pre-validated questionnaire. A total of 15.6% were underweight, 61.2% were normal weight, 17.2% were overweight and 5.8% were in obesity class I and 2.9% were classified as obesity class II. The co-occurrence of obesity and diabetes was 29% (n = 22) among diabetic individuals (n = 84). A majority of the residents (59.1%) were from cities. While 94% of the participants responded to what obesity was, 83.8% knew what diabetes was. Fast food, soft drinks, and mayonnaise were deemed to be healthy by 75.1% of the respondents. Obesity was viewed as a disease by 94.8%, a major health issue by 78.2%, and a weight-loss necessity by 44.6% of participants. Only 24.9% exercised every day, and 23.9% engaged in any physical activity daily. The majority of respondents (50.6%) never tried to lose weight and 23.2% ate junk food daily. The sociodemographic variables showed that the age ranges of 25-34 years (P < 0.001; OR 0.531), 45-54 years (P < 0.05; OR 0.527), and urban residency (P < 0.001; OR 0.128) had a significant association with knowledge. The factors of urban residency (P < 0.001; OR 3.996), being unmarried (P < 0.001; OR 1.95), and having an income of 51,000-70,000 (P < 0.001; OR 11.29) showed a very highly significant association with a good attitude regarding the relationship of obesity with diabetes (P < 0.05). Similarly, practices of the participants showed significant association with BMI range of 18.5-24.9 and 25-29.9 (P < 0.001). Our study revealed significant knowledge and understanding of the relationship between obesity with diabetes. However, it was observed that majority of respondents exhibited fundamental knowledge regarding obesity and diabetes, there was a notable absence of understanding regarding crucial elements, such as the significance of maintaining a healthy body weight, participating in physical activity, and implementing appropriate dietary strategies for weight control. We recognize the necessity for education initiatives and strongly encourage them to assist individuals in managing diabetes resulting from obesity.

Infrared spectroscopy for fast screening of diabetes and periodontitis

SIGNIFICANCE

FT-IR is an important and emerging tool, providing information related to the biochemical composition of biofluids. It is important to demonstrate that there is an efficacy in separating healthy and diseased groups, helping to establish FT-IR uses as fast screening tool.

AIM

Via saliva diagnosis evaluate the accuracy of FT-IR associate with machine learning model for classification among healthy (control group), diabetic (D) and periodontitis (P) patients and the association of both diseases (DP).

APPROACH

Eighty patients diagnosed with diabetes and periodontitis through conventional methods were recruited and allocated in one of the four groups. Saliva samples were collected from participants of each group (n=20) and were processed using Bruker Alpha II spectrometer in a FT-IR spectral fingerprint region between 600 and-1800 cm-1, followed by data preprocessing and analysis using machine learning tools.

RESULTS

Various FTI-R peaks were detectable and attributed to specific vibrational modes, which were classified based on confusion matrices showed in paired groups. The highest true positive rates (TPR) appeared between groups C vs D (93.5% ± 2.7%), groups C vs. DP (89.2% ± 4.1%), and groups D and P (90.4% ± 3.2%). However, P vs DP presented higher TPR for DP (84.1% ±3.1%) while D vs. DP the highest rate for DP was 81.7% ±4.3%. Analyzing all groups together, the TPR decreased.

CONCLUSION

The system used is portable and robust and can be widely used in clinical environments and hospitals as a new diagnostic technique. Studies in our groups are being conducted to solidify and expand data analysis methods with friendly language for healthcare professionals. It was possible to classify healthy patients in a range of 78-93% of accuracy. Range over 80% of accuracy between periodontitis and diabetes were observed. A general classification model with lower TPR instead of a pairwise classification would only have advantages in scenarios where no prior patient information is available regarding diabetes and periodontitis status.

Type I Diabetes Mellitus Suppresses Experimental Skin Carcinogenesis

This study explores the previously uncharted territory of the effects of ultraviolet (UV) radiation on diabetic skin, compared to its well-documented impact on normal skin, particularly focusing on carcinogenesis and aging. Employing hairless SKH-hr2, Type 1 and 2 diabetic, and nondiabetic male mice, the research subjected these to UV radiation thrice weekly for eight months. The investigation included comprehensive assessments of photoaging and photocarcinogenesis in diabetic versus normal skin, measuring factors such as hydration, trans-epidermal water loss, elasticity, skin thickness, melanin, sebum content, stratum corneum exfoliation and body weight, alongside photo documentation. Additionally, oxidative stress and the presence of hydrophilic antioxidants (uric acid and glutathione) in the stratum corneum were evaluated. Histopathological examination post-sacrifice provided insights into the morphological changes. Findings reveal that under UV exposure, Type 1 diabetic skin showed heightened dehydration, thinning, and signs of accelerated aging. Remarkably, Type 1 diabetic mice did not develop squamous cell carcinoma or pigmented nevi, contrary to normal and Type 2 diabetic skin. This unexpected resistance to UV-induced skin cancers in Type 1 diabetic skin prompts a crucial need for further research to uncover the underlying mechanisms providing this resistance.

[Evaluation of the management and follow-up of diabetic patients in the prevention of diabetic retinopathy]

OBJECTIVE

Diabetes mellitus is a chronic disease with high morbidity and mortality, affecting 537 million adults worldwide. Spain is the second European country in prevalence, with 14.8% in the population aged twenty/seventy-nine years; with 11.6 cases per 1,000 people/year. Diabetic retinopathy (DR) is the fifth cause of vision loss worldwide and the seventh cause of blindness/visual impairment among members of the National Organization of the Blind in Spain (ONCE). Early detection of DR prevents blindness in diabetics and is conditioned by glycosylated hemoglobin. The aim of this paper was to analyze the management of diabetic patients in Aljarafe region (Seville) and identify opportunities for improvement in the coordination of their follow-up between the Primary Care physician and the ophthalmologist.

METHODS

A retrospective observational study (2016-2019) was carried out, with patients registered in the diabetic census of the twenty-eight municipalities of Aljarafe. The primary care and hospital health history, and telemedicine program were consulted. About statistical analysis, for qualitative variables, totals and percentages were calculated; for quantitative variables, mean and standard deviation (if normally distributed) and median and quartiles (if non-normally distributed).

RESULTS

There were 17,175 diabetics registered in Aljarafe (5.7% of the population); 14,440 patients (84.1%) had some determination of hemoglobin during the period, 9,228 (63.9%) had all of them in the appropriate range. Fundoscopic control was performed on 12,040 diabetics (70.1%), and of those who did not, 346 (10.6%) had all of them out of range. There were 1,878 (10.9%) patients without fundoscopic or metabolic control, 1,019 (54.3%) were women, 1,219 (64.9%) were under sixty-five years of age, 1,019 (54.3%) had severe comorbidity.

CONCLUSIONS

Most patients have adequate screening, and more than half have determinations within range. However, a significant percentage with no glycated hemoglobin within range lack fundoscopic control, and another smaller group lack fundoscopic or metabolic control, with inter-municipal variability. We propose to improve communication channels between levels.

EXPRESS: Association of Statins with Onset and Progression of Non-Alcoholic Fatty Liver Disease in Patients with Diabetes

Non-alcoholic fatty liver disease (NAFLD) is the commonest cause of chronic liver disease in patients with diabetes; limited data suggested that statins may reduce the risk of NAFLD progression. This study aimed to examine the association between statins and the development or progression of NAFLD in veterans with diabetes. In a new-user negative control design, we conducted a retrospective propensity-score (PS) matched cohort study of patients with diabetes between 2003 and 2015. After excluding patients with other causes of liver disease, we formed PS using 85 characteristics. The primary outcome was a composite NAFLD progression outcome. Primary analysis examined odds of outcome in PS matched cohort. Post-hoc analysis included PS-matched cohort of statin users with intensive lowering of LDL-cholesterol versus low-intensity lowering. We matched 34,102 pairs from 300,739 statin users and 38,038 non-users. The composite outcome occurred in 8.8% of statin users and 8.6% of non-users (odds ratio [OR]: 1.02; 95% confidence interval [95%CI]: 0.97-1.08). In the post-hoc analysis, intensive lowering of LDL-cholesterol compared to low-intensity showed increased NAFLD progression (OR: 1.21, 95%CI: 1.13-1.30). This study showed that statin use in patients with diabetes was not associated with decreased or increased risk of NAFLD progression. Intensive LDL-cholesterol lowering compared to low-intensity LDL-cholesterol lowering was associated with an increased risk of NAFLD progression.

Higher mortality and longer length of stay in hospitalized patients with newly diagnosed diabetes

AIMS

We investigated the association between diabetes status at admission and in-hospital outcomes in all hospitalized patients, regardless of the reason for admission.

METHODS

All individuals aged 20 years or older who were admitted to Yongin Severance Hospital between March 2020 and February 2022 were included in study. Subjects were categorized into three groups: non-DM, known DM, and newly diagnosed DM, based on medical history, anti-diabetic medications use, and laboratory test. Hospitalization-related outcomes, including in-hospital mortality and length of hospital stay, were compared between groups.

RESULTS

33,166 participants were enrolled. At hospitalization, 6,572 (19.8 %) subjects were classified as known DM, and another 2,634 (7.9 %) subjects were classified as newly diagnosed DM. In-hospital mortality was highest in newly diagnosed DM (HR 1.89, 95% CI 1.58-2.26, p < 0.001) followed by known DM (HR 1.41, 95% CI 1.18-1.69, p < 0.001) compared to non-DM. Length of hospital stay was significantly longer in newly diagnosed DM (median [IQR] 9.0 [5.0-18.0],days) than known DM (median [IQR] 5.0 [3.0-10.0],days)(p < 0.001) and non-DM (median [IQR] 4.0 [2.0-7.0],days). After adjusting for multiple covariates, newly diagnosed diabetes was independently associated with increased in-hospital mortality (p < 0.001).

CONCLUSIONS

Diabetes status at admission was closely linked to hospitalization-related outcomes. Notably, individuals with newly diagnosed diabetes demonstrated a higher risk of in-hospital mortality and a prolonged length of hospital stay.

Restoration of gut dysbiosis through Clostridium butyricum and magnesium possibly balance blood glucose levels: an experimental study

Diabetes mellitus (DM) is a chronic metabolic disorder characterized by an elevated level of blood glucose due to the absence of insulin secretion, ineffectiveness, or lack of uptake of secreted insulin in the body. The improperly diagnosed and poorly managed DM can cause severe damage to organs in the body like the nerves, eyes, heart, and kidneys. This study was aimed at investigating the effect of Clostridium butyricum (probiotic) with magnesium supplementation to evaluate the effect on gut microbial dysbiosis and blood glucose levels. In the laboratory, 6-8 weeks old 24 male albino rats weighing 200-250 g were given free access to water and food. Diabetes was induced using streptozotocin (60 mg/kg) in overnight fasted rats. Diabetic rats were randomly divided into four groups (n = 6, 6 replicates in each group). Metformin (100 mg/kg/day) with a standard basal diet was provided to control group (G0), Clostridium butyricum (1.5 × 105 CFU/day) with standard basal diet was provided to treatment group (G1), magnesium (500 mg/kg/day) was provided to group (G2). Clostridium butyricum (1.5 × 105 CFU/day) and magnesium (300 mg/kg/day) in combination with a standard basal diet was provided to group (G3). Blood Glucose, Magnesium blood test and microbial assay were done. Random blood glucose levels were monitored twice a week for 21 days and were represented as mean of each week. The results conclude that Clostridium butyricum (1.5 × 105 CFU) is very effective in balancing random blood glucose levels from 206.6 ± 67.7 to 85.1 ± 3.8 (p = 0.006) compared to other groups (p > 0.005). The results of stool analysis showed that Clostridium butyricum as probiotic restores microbial dysbiosis as evident by the 105 CFU Clostridium butyricum load in G1, which was higher than G0, G2 and G3 which were 103 and 104 CFU respectively. The findings of this study conclude that Clostridium butyricum supplementation improved blood glucose levels and intestinal bacterial load in type II diabetes mellitus.

Atypical Mpox in a Nigerian Tertiary Health Facility

BACKGROUND

We describe diverse clinical characteristics and course of confirmed mpox cases managed in a Nigerian tertiary health facility.

METHODS

Clinical and epidemiologic data were analyzed, highlighting the unusual presentations of polymerase chain reaction (PCR)-confirmed mpox cases observed during the 2022 outbreak.

RESULTS

Out of 17 suspected cases, 13 (76.4%) were PCR confirmed for mpox. The mean ± SD age for the participants was 28.62 ± 10.29 years (range, 2-55), of which 9 (64.3%) were male. Of the 13 PCR-confirmed cases, 5 (38.5%) had varicella zoster virus coinfection, 2 (15.4%) had HIV coinfection, and 1 (7.7%) had diabetes mellitus comorbidity. All patients experienced rash, with 6 (46.2%) having significant genital lesions and 1 (7.7%) having a severe perianal lesion. A lack of prodromal symptoms was reported in 3 (23.1%), and a prolonged prodrome (>1 week) occurred in 5 (38.5%). Skin lesions were polymorphic in 6 (46.2%), and solitary skin lesions occurred in 3 (23.1%), which persisted for >120 days in 7.7%.

CONCLUSIONS

Clinical recognition, diagnosis, and prevention remain a concern in resource-limited settings. Our findings highlight the need to further evaluate unusual skin lesions and to include mpox screening for genital skin lesions that are presumed to be sexually transmitted infections. Revision of clinical case definition and enhanced surveillance are key to early recognition and prevention of spread.

[Family Physicians and Nutritionists in Health Centers, Commentary on "Eating Habits of People with Type 2 Diabetes Mellitus in Portugal: A Cross-Sectional Study"]

N/a.

Is Metformin Use Associated with a More Favorable COVID-19 Course in People with Diabetes?

Background: Diabetes Mellitus (DM) has been associated with a higher Coronavirus disease-19 (COVID-19) mortality, both in hospitalized patients and in the general population. A possible beneficial effect of metformin on the prognosis of COVID-19 has been reported in some observational studies, whereas other studies disagree. Methods: To investigate the possible effect of metformin on COVID-19 in-hospital mortality, we performed a retrospective study that included all SARS-CoV-2-positive patients with DM who were admitted to two Italian hospitals. In order to adjust for possible confounders accounting for the observed reduction of mortality in metformin users, we adopted the COVID-19 Mortality Risk Score (COVID-19 MRS) as a covariate. Results: Out of the 524 included patients, 33.4% died. A binomial logistic regression showed that metformin use was associated with a significant reduction in case fatality (OR 0.67 [0.45-0.98], p = 0.039), with no significant effect on the need for ventilation (OR 0.75 [0.5-1.11], p = 0.146). After adjusting for COVID-19 MRS, metformin did not retain a significant association with in-hospital mortality [OR 0.795 (0.495-1.277), p = 0.342]. Conclusions: A beneficial effect of metformin on COVID-19 was not proven after adjusting for confounding factors. The use of validated tools to stratify the risk for COVID-19 severe disease and death, such as COVID-19 MRS, may be useful to better explore the potential association of medications and comorbidities with COVID-19 prognosis.

Microvascular disease, modifiable risk factor profiles and incident arrhythmias in type 2 diabetes

BACKGROUND

To assess the roles of diabetic microvascular disease and modifiable risk factors and their combination in the development of arrhythmias.

METHODS

We included participants with type 2 diabetes (T2D) who were free of arrhythmias during recruitment in the UK Biobank study. The associations of microvascular disease states (defined by the presence of retinopathy, peripheral neuropathy or chronic kidney disease), four modifiable arrhythmic risk factors (body mass index, smoking, systolic blood pressure and glycosylated haemoglobin) and their joint associations with incident arrhythmias were examined.

RESULTS

Among the 25 632 participants with T2D, 1705 (20.1%) of the 8482 with microvascular disease and 2017 (11.8%) of the 17 150 without microvascular disease developed arrhythmias during a median follow-up of 12.3 years. Having any of the three microvascular diseases was associated with a 48% increase in the hazard of developing arrhythmias. Incorporating microvascular disease states into a model alongside 11 traditional risk factors significantly enhanced arrhythmia prediction. Furthermore, individuals with microvascular disease who had optimal levels of zero to one, two, three or four arrhythmic risk factors showed an HR of 2.05 (95% CI 1.85, 2.27), 1.67 (95% CI 1.53, 1.83), 1.35 (95% CI 1.22, 1.50) and 0.91 (95% CI 0.73, 1.13), respectively, compared with those without microvascular disease.

CONCLUSIONS

Although microvascular disease, a non-traditional risk factor, was associated with incident arrhythmias in individuals with T2D, having optimal levels of risk factors may mitigate this risk.

Optical coherence tomography angiography in diabetic retinopathy: A major review

Diabetic retinopathy (DR) is characterized by retinal vasculopathy and is a leading cause of visual impairment. Optical coherence tomography angiography (OCTA) is an innovative imaging technology that can detect various pathologies and quantifiable changes in retinal microvasculature. We briefly describe its functional principles and advantages over fluorescein angiography and perform a comprehensive review on its clinical applications in the screening or management of people with prediabetes, diabetes without clinical retinopathy (NDR), nonproliferative DR (NPDR), proliferative DR (PDR), and diabetic macular edema (DME). OCTA reveals early microvascular alterations in prediabetic and NDR eyes, which may coexist with sub-clinical neuroretinal dysfunction. Its applications in NPDR include measuring ischemia, detecting retinal neovascularization, and timing of early treatment through predicting the risk of retinopathy worsening or development of DME. In PDR, OCTA helps characterize the flow within neovascular complexes and evaluate their progression or regression in response to treatment. In eyes with DME, OCTA perfusion parameters may be of predictive value regarding the visual and anatomical gains associated with treatment. We further discussed the limitations of OCTA and the benefits of its incorporation into an updated DR severity scale.

Diabetes mellitus as a cause of premature death in small areas of Spain by socioeconomic level from 2016 to 2020: A multiple-cause approach

OBJECTIVE

This study aimed to assess premature mortality due to Diabetes in small areas of Spain between 2016 and 2020, and its relationship with socioeconomic level and the immediate cause of death. As a secondary objective, we evaluated the effect of the Covid 19 pandemic.

METHODS

This was an ecological study of premature mortality due to Diabetes from 2016 to 2020, with a focus on small areas. All deaths in people under 75 years of age due to Diabetes as the underlying cause were included RESULTS: The final sample comprised 7382 premature deaths in 5967 census tracts. Women living in census tracts with an high level of deprivation(RR=2.40) were at a significantly higher risk. Mortality from Diabetes increased with deprivation, especially people aged 0-54(RR=2.40). People with an immediate cause of death related to a circulatory disease, living in census tracts with an high level of deprivation(RR=3.86) was associated with a significantly greater risk of death with underlying Diabetes. When a disease of the circulatory system was recorded as the immediate cause of death, being 65-74 years (RR=71.01) was associated with a significantly higher risk of premature mortality.

CONCLUSIONS

Living in geographic areas with higher levels of socioeconomic deprivation is associated with a higher risk of premature death from Diabetes in Spain. This relationship has a greater impact on women, people under 54 years, and people at risk of death caused directly by diseases of the circulatory system. Premature mortality due to diabetes saw a modest increase in 2020.

EXPRESS: Obesity modifies the association between diabetes and iron biomarkers and red cell indices in reproductive-aged women in the US

Obesity and diabetes are associated with impaired iron metabolism. We aimed to examine the independent relationship between diabetes and iron after controlling for body weight (or obesity) in women aged 20-49 y. Data from the 2015-2018 NHANES was used in this investigation. Body composition data, HbAc1, and iron biomarkers (serum ferritin (SF), soluble transferrin receptor (sTfR), and body iron index (BII)), mean corpuscular volume (MCV), mean hemoglobin concentration (MCH), and red cell distribution width (RDW), and hemoglobin were used. Linear regression models were used to examine how and to what extent BMI modified the relationship between diabetes and iron status biomarkers. A total of 1585 women aged 20-49 were included in the analysis with a mean (SD) age of 32 .2 ± 6.1 y and BMI of 29.5 ± 6.9 kg/m2. The mean SF (p=0.014) and BII (p<0.001) were lower, while sTfR (p<0.001) was higher in women with diabetes than those with no diabetes. Mean estimates for MCV and MCH were lower, while RDW (p=0.001) was higher in diabetes patients (all p<0.001). Women with diabetes were more likely to have iron deficiency, anemia, and iron deficiency anemia than those without diabetes (18.1% vs. 8.6%, p<0.001), (24.4% vs. 8.4%, p<0.001) and (14.8% vs. 5.2%, p<0.001), respectively. Among women with obesity, those with diabetes had lower predicted ferritin (β=-0.19, p=0.016), BII (β=-0.99, p=0.016), and hemoglobin (β=-0.27, p=0.042) than those without diabetes. The study shows that diabetes is linked to lower iron stores, this is exacerbated in those with obesity.

The best internal structure of the Diabetes Quality of Life Measure (DQOL) in Brazilian patients

BACKGROUND

Diabetes Mellitus (DM) is considered a chronic disease with numerous secondary complications that negatively affect the quality of life of patients. However, the specific, known and validated instruments for Brazilian Portuguese are too extensive, which often makes their use infeasible.

OBJECTIVE

To validate the internal structure of the Brazilian version of the Diabetes Quality of Life (DQOL) measure.

METHODOLOGY

Patients with DM type 1 or 2, between the ages of 18 and 76, were evaluated between April 2022 and May 2022. The survey was conducted online using the Google Forms platform. The original DQOL contains 46 multiple-choice questions organized into four domains. For structural validity, confirmatory factor analysis (CFA) was performed using RStudio software (Boston, MA, USA) with the packages lavaan and semPlot.

RESULTS

A total of 354 subjects were evaluated. The 3-domain, 24-item version of the DQOL was the most adequate, with acceptable values for all fit indices (chi-square/GL < 3, TLI and CFI > 0.90, and RMSEA and SRMR < 0.08).

CONCLUSION

The structure with three domains and 24 items is the most appropriate based on factor analysis. The Brazilian version of the DQOL with a structure of 3 domains and 24 items has adequate measurement properties that support its use in the clinical and scientific context in patients with DM.

Metformin Alters Tumor Immune Microenvironment, Improving the Outcomes of Breast Cancer Patients With Type 2 Diabetes Mellitus

This study investigated the clinical effect of metformin on breast cancer patients with preexisting type 2 diabetes mellitus (T2DM). We analyzed 177 patients with T2DM who underwent breast cancer surgery and assessed tumor-associated macrophages (TAMs) and tumor-infiltrating lymphocytes (TILs) in patients who underwent tumor resection with or without metformin treatment using multiplex immunohistochemistry (IHC). Patients who received metformin either pre- or postoperatively exhibited reduced distant organ recurrence and improved postoperative recurrence-free survival compared to those of patients who did not. Additionally, in a subgroup of 40 patients receiving preoperative systemic therapy, metformin treatment was associated with increased rates of pathological complete response. IHC analysis revealed significantly lower levels of cluster of differentiation (CD) 68(+) CD163(+) M2-type TAMs (p < 0.01) but higher CD3(+) and CD8(+) TIL densities in the metformin-treated group compared with the same parameters in those without metformin treatment, with a significant difference in the CD8(+)/CD3(+) TIL ratio (p < 0.01). Despite the constraints posed by our small sample size, our findings suggest a potential role for metformin in modulating the immunological microenvironment, which may contribute to improved outcomes in diabetes patients with breast cancer.

The Association Between Alcohol Use and Chronic Diseases' Treatment Outcomes Among Adults Aged 40 Years and Above in Rural South Africa

Chronic diseases are significant problems in South Africa. Chronic diseases' treatment outcomes are critical to the reduction of morbidity and mortality. There is limited data in South Africa on alcohol use and treatment outcomes of chronic diseases in older people. We analysed data from wave 1 of the Health and Ageing in Africa-a longitudinal Study in an INDEPTH community (HAALSI) study. We performed descriptive analysis to determine the prevalence of optimal chronic diseases' treatment outcomes (suppressed HIV viral load, normal blood pressure and normal blood sugar) and applied multivariate modified Poisson regression to determine the association between alcohol use and chronic diseases' treatment outcomes. The prevalence of optimal treatment outcomes were 87.4% for HIV, 42.7% for hypertension, 53.6% for diabetes mellitus and 52.4% for multimorbidity. Alcohol use did not negatively impact the treatment outcomes for HIV (aRR=1.00, 95%CI:0.93-1.09), hypertension (aRR=0.88, 95%CI:0.68-1.14), diabetes mellitus (aRR=0.73, 95%CI:0.44-1.22), and multimorbidity (aRR=1.00, 95%CI:0.93-1.09). Alcohol use was not significantly associated with treatment outcomes possibly due to underreporting of alcohol use. There is need to incorporate objective alcohol measurements in chronic diseases care settings. Furthermore, there is urgent need to strengthen the management of hypertension and diabetes, by adopting the strategies deployed for HIV management.

Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study

Background

SGLT2 inhibitors (SGLT2is) and GLP-1 receptor agonists (GLP1-RAs) reduce major adverse cardiovascular events (MACE) in patients with type 2 diabetes mellitus (T2DM). However, their effectiveness relative to each other and other second-line antihyperglycemic agents is unknown, without any major ongoing head-to-head trials.

Methods

Across the LEGEND-T2DM network, we included ten federated international data sources, spanning 1992-2021. We identified 1,492,855 patients with T2DM and established cardiovascular disease (CVD) on metformin monotherapy who initiated one of four second-line agents (SGLT2is, GLP1-RAs, dipeptidyl peptidase 4 inhibitor [DPP4is], sulfonylureas [SUs]). We used large-scale propensity score models to conduct an active comparator, target trial emulation for pairwise comparisons. After evaluating empirical equipoise and population generalizability, we fit on-treatment Cox proportional hazard models for 3-point MACE (myocardial infarction, stroke, death) and 4-point MACE (3-point MACE + heart failure hospitalization) risk, and combined hazard ratio (HR) estimates in a random-effects meta-analysis.

Findings

Across cohorts, 16·4%, 8·3%, 27·7%, and 47·6% of individuals with T2DM initiated SGLT2is, GLP1-RAs, DPP4is, and SUs, respectively. Over 5·2 million patient-years of follow-up and 489 million patient-days of time at-risk, there were 25,982 3-point MACE and 41,447 4-point MACE events. SGLT2is and GLP1-RAs were associated with a lower risk for 3-point MACE compared with DPP4is (HR 0·89 [95% CI, 0·79-1·00] and 0·83 [0·70-0·98]), and SUs (HR 0·76 [0·65-0·89] and 0·71 [0·59-0·86]). DPP4is were associated with a lower 3-point MACE risk versus SUs (HR 0·87 [0·79-0·95]). The pattern was consistent for 4-point MACE for the comparisons above. There were no significant differences between SGLT2is and GLP1-RAs for 3-point or 4-point MACE (HR 1·06 [0·96-1·17] and 1·05 [0·97-1·13]).

Interpretation

In patients with T2DM and established CVD, we found comparable cardiovascular risk reduction with SGLT2is and GLP1-RAs, with both agents more effective than DPP4is, which in turn were more effective than SUs. These findings suggest that the use of GLP1-RAs and SGLT2is should be prioritized as second-line agents in those with established CVD.

Funding

National Institutes of Health, United States Department of Veterans Affairs.

[Non-Insulin Antidiabetic Agents in the Management of Hyperglycaemia of Non-Critical Hospitalized Patients]

Hyperglycaemia affects more than 30% of adults hospitalized for non-critical illness and is associated with an increased risk of adverse clinical outcomes. Insulin therapy is widely used for its safety and efficacy. However, given the growing availability of new drugs and new classes of antidiabetic agents with benefits beyond glycaemic control, challenges arise regarding their use in the hospital setting. This article aims to review and summarize the most recently available evidence and recommendations on the role of non-insulin antidiabetic agents in the management of hyperglycaemia in hospitalized patients. Insulin therapy remains the method of choice. Dipeptidyl peptidase 4 inhibitors can be considered in mild to moderate hyperglycaemia. Glucagon-like peptide 1 receptor agonists have recently shown promising results, with high efficacy in glycaemic control and low risk of hypoglycaemia. There are concerns regarding the increased risk of acidosis with metformin use, especially in cases of acute illness, although there is no evidence to support its suspension in selected patients with relative clinical stability. Sodium-glucose cotransporter-2 inhibitors should be discontinued in clinical situations that may predispose to ketoacidosis, including episodes of acute illness. The hospital use of sulfonylureas and thiazolidinediones is not advised.

Systematic review and meta-analysis of the effects of exercise on cognitive impairment and neuroprotective mechanisms in diabetes mellitus animal models

This study aims to assess the effects of exercise on cognitive impairment behavioral performance and neuroprotective mechanisms in diabetes mellitus (DM) animal models. PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database (VIP), and China Biomedical Literature Database (CBM) were systematically searched for studies investigating the impact of exercise on cognitive impairment in animal models of diabetes mellitus (DM) from the inception of these databases through July 2023. Rigorous quality assessments were conducted on the included literature. Primary outcome measures comprised fasting blood glucose (FBG) levels and performance in the Morris water maze test, while secondary outcomes focused on mechanisms related to neuroprotection. Statistical analysis of outcome data was conducted using RevMan 5.3 and R software. A total of 17 studies were included, encompassing 399 animals. The results of the meta-analysis of primary outcome measures revealed that, compared to the control group, exercise effectively reduced fasting blood glucose (FBG) levels in diabetic animal models. In the Morris water maze experiment, exercise also significantly decreased the escape latency of diabetic animal models, increased the number of platform crossings, improved the percentage of time spent in the target quadrant, extended the time spent in the target quadrant, and enhanced swimming speed. Meta-analysis of secondary outcome measures indicated that exercise effectively reduced Aβ deposition, attenuated oxidative stress, enhanced synaptic function, suppressed cellular apoptosis and neuroinflammation, and promoted neurogenesis. Exercise represents a promising non-pharmacological therapy with a positive impact on diabetes-related cognitive function and neuroprotection. Moreover, this study provides a theoretical foundation for further preclinical and clinical trials.

Estimated glomerular filtration rate and the risk of stroke in individuals with diabetes mellitus and atrial fibrillation insight from a large contemporary population study

BACKGROUND

Diabetes mellitus (DM) is associated with increased risk of embolic complications in non-valvular atrial fibrillation (NVAF). Impaired renal function (IRF) increases the risk of stroke as well, but this finding is not consistent among all studies. Our aim was to assess the incidence rates and risk of ischemic stroke and mortality by baseline Estimated Glomerular Filtration Rate (eGFR) levels Among individuals with AF and DM.

METHODS

A prospective, historical cohort study using the Clalit Health Services electronic medical records database. Among patients with AF and DM, we compared three groups according to eGFR levels: eGFR ≥ 60, between 30 and 60, and ≤ 30 (mL/min/1.73m2).

RESULTS

A total of 17,567 cases were included in the final analysis; of them, 11,013 (62.7%) had eGFR ≥ 60, 4930 (28%) had eGFR between 30 and 60, and 1624 (9.24%) with eGFR ≤ 30. The incidence of stroke per 100 person-years in the three study groups was: 1.88, 2.69, and 3.34, respectively (p < 0.001). IRF was associated with increased risk of stroke in univariate analysis, but not after multivariate adjustment (Adjusted Hazard Ratio (AHR) 0.96 {95%CI; 0.74-1.25} for eGFR 30-60 and 0.96 {95%CI; 0.60-1.55} for eGFR ≤ 30). Mortality per 100 person-years was 10.78, 21.49, and 41.55, respectively (p < 0.001). IRF was associated with increased mortality risk in univariate analysis, as well as in multivariate analysis (AHR 1.08 {95%CI; 0.98-1.18} for eGFR 30-60, and 1.59 {95%CI; 1.37-1.85} for eGFR ≤ 30.

CONCLUSION

In patients with NVAF and DM, IRF was not associated with an increased risk of stroke, but severe IRF (eGFR ≤ 30) was associated with increased mortality risk.

Evaluating the effect of Conversation Cards on agenda-setting in annual diabetes status visits: A multi-method study

OBJECTIVE

To evaluate Conversation Cards for shared agenda-setting between patients and nurses in status visits for type 2 diabetes.

METHODS

Non-randomized comparison of survey responses between intervention and control groups. Content analysis of interview data of patient experiences from a purposive sample of the intervention group.

RESULTS

The survey included 52 patients in the intervention and 55 in the control group. Survey data showed no significant differences between the groups. Regardless of the intervention, patients experienced that topics relevant to them were addressed. One in four patients rated the Conversation Cards as very supportive. Interview data indicated that the Conversation Cards added structure, commitment to the conversation, and support to raise topics not previously considered diabetes related.

CONCLUSION

Topics of concern were addressed in both intervention and control groups. The Conversation Cards for agenda-setting clarified a mutually agreed structure of the conversation, eased raising hitherto ignored topics, and increased engagement.

PRACTICE IMPLICATIONS

The Conversation Cards have potential to improve shared agenda-setting, but implementation requires efforts from both parties. Patients are expected to consider their concerns and take an active part in agenda-setting. Nurses are expected to collaborate with the patient in the agenda-setting, which might challenge the nurses' habitual practice.

A multidisciplinary, shared care clinic using personalized medicine and coordinated care in patients with concomitant type 2 diabetes and cardiovascular disease. Protocol and baseline characteristics

Background

Concomitant type 2 diabetes (T2DM) and cardiovascular disease (CVD) is frequent with a poor prognosis with high risk of comorbidities. Strict risk factor control reduces the risk for complications - yet many people do not achieve treatment targets. The complexity and fragmentation of the healthcare system may, together with the vulnerability of these patients, be a reason.

Objective

The purpose of this paper is to describe the protocol of a non-randomized interventional pilot study testing the feasibility and effect of a multidisciplinary, shared care clinic using personalized medicine and coordinated care in people living with concomitant T2D and CVD.

Methods

Participants were included from the Holbaek area in Denmark. People suffered from T2DM and CVD and were dysregulated regarding to HbA1c, cholesterol, micro/macroalbuminuaria or blood pressure. Participants went through a thorough evaluation to identify their needs and resources and received consultations every three months for one year.

Results

A total of 63 participants with T2DM and CVD were enrolled in the clinic. The participants had a mean age of 69 years and a BMI of 30.9 kg/m2. Almost 50 % had heart failure, 95 % dyslipidemia and 91 % hypertension. Around 54 % received GLP-1 agonists and 39 % received SGLT-2-inhibitors.

Perspectives

To our knowledge, a similar study with a multidisciplinary, shared care, outpatient clinic treating people living with concomitant T2DM and CVD, has not been performed previously. This study will provide information about the feasibility and efficacy of a multidisciplinary clinic based on changes in cardiovascular risk factors and medication.

Automated Prediction of Diabetes Mellitus using Infrared Thermal Foot Images: Recurrent Neural Network Approach

Millions of people worldwide are affected by Diabetes Mellitus (DM), which is a chronic disease. Evaluation of the DM indicator, namely blood glucose level, requires invasive methods such as glucometer or blood tests, which cause discomfort to the patient. Automated noninvasive monitoring methods are urgently needed to ensure consistency and better treatment. The regular monitoring of DM can prevent or delay the onset of complications. Thermal foot images have been proposed as noninvasive methods for the prediction of DM. Thermograms were acquired at Mittal Eye Hospital, Sangrur, India, from 50 participants in the diabetic (without neuropathic conditions) and non-diabetic groups using a thermal camera (FLIR E-60). This study proposes an automated prediction system for DM using thermal foot images and Recurrent Neural Network (RNN) approach. The proposed system processes the thermal images and extracts relevant features using a CNN (Convolutional Neural Network). The extracted features were then fed to the RNN to predict the presence or absence of the DM. The experimental results demonstrate that the proposed framework attains an accuracy of (97.14 ± 1.5) %, surpassing the predictive capabilities of light-weight convolutional neural network (Lw-CNN), which only achieves an accuracy of (82.9 ± 3) % in predicting DM. This performance outperformed other state-of-the-art methods in the field. Our approach has the potential to be used as prediction tool for DM. Therefore, the proposed system has the potential for prediction of DM and improve patient outcomes by enabling timely intervention. Future work should focus on evaluating the proposed system on a larger dataset and integrating it with clinical decision support systems for personalized care. This study holds the promise of transforming DM screening and diagnosis, leading to enhanced patient outcomes.

Covid 19 and diabetes in children: advances and strategies

BACKGROUND

Throughout the COVID-19 pandemic, there has been a notable increase in the incidence of new-onset diabetes and diabetic ketoacidosis (DKA). Simultaneously, children diagnosed with type 1 diabetes (T1D) have encountered difficulties in maintaining optimal blood glucose levels. The mechanisms underpinning these correlations still remain a puzzle. We reviewed the studies that examined changes in incidence during the pandemic. These studies utilized various metrics for comparison, which encompassed the timing of data collection, diagnostic criteria, as well as the numbers and incidence rates of diabetes and DKA. We found the incidence of diabetes and DKA was higher during the pandemic. As to mechanisms, the invivo and invitro study revealed the factors such as direct viral damage, metabolic dysfunction, and immune responses all attribute to the process of T1D after suffering from COVID-19. Furthermore, we provide some useful strategies to prevent and treat children suffering from diabetes and COVID-19.

CONCLUSIONS

Strong correlations have been observed between new-onset diabetes and COVID-19. Insights gleaned from clinical descriptions and basic research can offer valuable experience and recommendations for the treatment and prevention of diabetes during future pandemics.

Diabetes and chronic kidney disease in Chinese adults: a population-based cohort study

INTRODUCTION

Cohort evidence of the association of diabetes mellitus (DM) with chronic kidney disease (CKD) is limited. Previous studies often describe patients with kidney disease and diabetes as diabetic kidney disease (DKD) or CKD, ignoring other subtypes. The present study aimed to assess the prospective association of diabetes status (no diabetes, pre-diabetes, screened diabetes, previously diagnosed controlled/uncontrolled diabetes with/without antidiabetic treatment) and random plasma glucose (RPG) with CKD risk (including CKD subtypes) among Chinese adults.

RESEARCH DESIGN AND METHODS

The present study included 472 545 participants from the China Kadoorie Biobank, using baseline information on diabetes and RPG. The incident CKD and its subtypes were collected through linkage with the national health insurance system during follow-up. Cox regression models were used to calculate the HR and 95% CI.

RESULTS

During 11.8 years of mean follow-up, 5417 adults developed CKD. Screened plus previously diagnosed diabetes was positively associated with CKD (HR=4.52, 95% CI 4.23 to 4.83), DKD (HR=33.85, 95% CI 29.56 to 38.76), and glomerulonephritis (HR=1.66, 95% CI 1.40 to 1.97). In those with previously diagnosed diabetes, participants with uncontrolled diabetes represented higher risks of CKD, DKD, and glomerulonephritis compared with those with controlled RPG. The risk of DKD was found to rise in participants with pre-diabetes and increased with the elevated RPG level, even in those without diabetes.

CONCLUSIONS

Among Chinese adults, diabetes was positively associated with CKD, DKD, and glomerulonephritis. Screen-detected and uncontrolled DM had a high risk of CKD, and pre-diabetes was associated with a greater risk of DKD, highlighting the significance of lifelong glycemic management.

Unravelling the Crosstalk between Estrogen deficiency and Gut-biota Dysbiosis in the development of Diabetes Mellitus

Estrogens are classically considered essential hormonal signals, but they exert profound effects in a number of physiological and pathological states, including glucose homeostasis and insulin resistance. Estrogen deficiency after menopause in most women leads to increased androgenicity and changes in body composition, and it is recommended to manipulate the β-cell function of the pancreas, insulin-induced glucose transport, and hepatic glucose output, hence, the increasing incidence of type 2 diabetes mellitus. Recently, studies have reported that gut biota alteration due to estrogen deficiency contributes to altered energy metabolism and, hence, accentuates the pathology of diabetes mellitus. Emerging research suggests estrogen deficiency via genetic disposition or failure of ovaries to function in old age modulates the insulin resistance and glucose secretion workload on pancreatic beta cells by decreasing the levels of good bacteria such as Akkermansia muciniphila, Bifidobacterium spp., Lactobacillus spp., Faecalibacterium prausnitzii, Roseburia spp., and Prevotella spp., and increasing the levels of bad bacteria's such as Bacteroides spp., Clostridium difficile, Escherichia coli, and Enterococcus spp. Alteration in these bacteria's concentrations in the gut further leads to the development of impaired glucose uptake by the muscles, increased gluconeogenesis in the liver, and increased lipolysis and inflammation in the adipose tissues. Thus, the present review paper aims to clarify the intricate interactions between estrogen deficiency, gut microbiota regulation, and the development of diabetes mellitus.

Protocol of systematic reviews on implementation research on cardiovascular diseases, diabetes mellitus and mental ailments in India

Introduction

The burden of non-communicable diseases (NCDs) is a major public health concern across the world. Various initiatives have tried to address these with varying degrees of success.

Objective

The objective is to assess and collate existing evidence in implementation research done in India on three broad domains of NCDs namely, cardiovascular diseases (CVD), diabetes mellitus (DM), and mental health (MH) in India.

Materials and methods

Three systematic review protocols have been drafted to explore and collate extant evidence of implementation research on cardiovascular diseases, diabetes mellitus, and mental health in India, in accordance with the PRISMA-P statement. Academic databases including PubMed, Embase and Science Direct will be searched. Search strategies will be formulated in iterative processes and in accordance with the formats that are specific to the databases that will be searched. In addition, grey literature and non-academic databases will also be explored. Data extracted from the selected studies will be analysed and a narrative summary of the selected articles, using the SWiM (Synthesis without meta-analysis) guidelines will be produced.

Intended Outcomes

The outputs of these systematic reviews could help in a better understanding of implementation research gaps and also how to address them. Apart from giving insights into how healthcare initiatives for CVDs, diabetes and mental health could be implemented in a better way, the study could also advocate the need to build and consolidate capacity for implementation research in the country.

Associations between Adiponectin and the Development of Diabetes in Rheumatoid Arthritis

PURPOSE

We evaluated associations between adiponectin and the risk of diabetes among patients with rheumatoid arthritis (RA), a systemic inflammatory disease associated with metabolic disturbance.

METHODS

This prospective cohort study included adults with RA from the Veteran's Affairs Rheumatoid Arthritis Registry. Adiponectin and inflammatory cytokines/chemokines were measured at enrollment on stored serum samples. Adiponectin levels were categorized and clinical variables were described across categories (<10 μg/mL; 10-40 μg/mL;  > 40 μg/mL. Multivariable Cox proportional hazard models evaluated associations between adiponectin and incident diabetes adjusting for age, sex, race, smoking status, body mass index (BMI), disease-modifying therapy use, calendar year, and comorbidity. Testing for modification of effect in the context of elevated cytokines/chemokines was performed.

RESULTS

Among 2595 patients included in the analysis, those with adiponectin levels >40 μg/mL (N = 379; 15%) were older and had lower BMI. There were 125 new cases of diabetes among 1,689 patients without prevalent disease at enrollment. There was an inverse association between adiponectin and incident diabetes, however, the association was positive among patients with adiponectin levels >40 μg/mL. Patients with levels >40 μg/mL were at higher risk compared to those with levels 10-40 μg/mL [HR: 1.70 (1.34,2.16) p < 0.001]. Those with adiponectin levels >40 μg/mL had significantly higher levels of inflammatory cytokines with evidence of a modified effect of adiponectin on diabetes risk in the setting of inflammation.

CONCLUSIONS

The relationship between adiponectin and incident diabetes risk is U-shaped in RA. Patients with very high adiponectin levels have greater systemic inflammation and an altered relationship between adiponectin and diabetes risk.

Brain-derived Neurotrophic Factor Level and Gene Polymorphism as Risk Factors for Depression in Patients with type 2 Diabetes Mellitus- A Case-Controlled Study

BACKGROUND

Diabetes mellitus and depression are comorbidities that can be caused by each other. Brain-derived neurotrophic factor (BDNF) functions as a neuronal growth factor. It maintains the functional integrity of the nervous system.

AIM

To study the possible association between BDNF levels and gene polymorphism with depression in patients diagnosed with type 2 diabetes mellitus.

METHODS

The Elisa technique measured BDNF, and rs6265 gene polymorphism was detected using real-time PCR. Depression was assessed utilizing a clinical interview tool designed to establish the diagnosis of depression and differentiate it from other psychiatric diseases.

RESULTS

BDNF levels were significantly lower in patients with type 2 diabetes mellitus and symptoms of depression than in patients with type 2 diabetes mellitus and no symptoms of depression (82.6±16.1. Vs 122± 17.47, p˂ 0.001). There was a statistically significant difference in BDNF levels in patients with diabetes among the three genotypes of the BDNF gene (p-value < 0.001). Val/ Val carriers had the highest serum BDNF levels, and Met/ Met carriers had the lowest serum BDNF levels. Subgroup analysis showed statistically significant genotype-related differences in serum BDNF levels among the three subgroups in the Depression group. Val/ Val carriers had the highest serum BDNF levels, and Met/ Met carriers had the lowest serum BDNF levels. BDNF Val66Met polymorphism had no significant association with the presence of depression, yet there was a trend towards significance (p = 0.05) Conclusion: In this pilot, Low levels of BDNF were associated with depression in patients with type 2 diabetes. Carriers of the Met/ Met allele have the lowest serum BDNF levels. Multicenter studies with more participants are required.

Type 2 diabetes mellitus increases the risk of circumcision among men aged between 30 and 69 years using a nationwide population-based dataset in Taiwan: a five-year follow-up study

BACKGROUND

Diabetes is an important factor in the development of penile inflammation. We studied whether type 2 diabetes (DM), with/without hypertension and hyperlipidemia increased the risk of circumcision among men aged between 30 and 69 using a population-based dataset in Taiwan during a 5-year follow-up period.

METHODS

The research data in this study were obtained from Taiwan's National Health Insurance Research Database between 1997 and 2010. We identified 23,197 patients who had a new diagnosis of DM and randomly matched 115,985 subjects as controls. We observed whether circumcision was the treatment after a new DM diagnosis. The initial step involved analyzing the data using Poisson regression analysis. To address potential confounding factors, this study employed propensity score matching based on three variables. Additionally, a Cox regression with a Gamma frailty was utilized to compare outcomes between different groups.

RESULTS

Poisson regression analysis showed that DM (RR = 1.75, 95CI = 0.10 ~ 1.22), but not hypertension (RR = 1.14, 95CI=-0.44 ~ 0.70), hyperlipidemia (RR = 0.94, 95CI=-0.66 ~ 0.53), or age (RR = 0.83, 95CI=-0.43 ~ 0.62), had an impact on circumcision treatment. Cox regression with a frailty model found that DM was a risk factor associated with circumcision (HR = 2.31, 95% CI = 1.74 ~ 3.06, p-value < 0.01), whereas no significant difference was noted between circumcision and hypertension (HR = 1.10, 95% CI = 0.80 ~ 1.51), hyperlipidemia (HR = 1.05, 95% CI = 0.79 ~ 1.40), or age (HR = 1.00, 95% CI = 0.99 ~ 1.02).

CONCLUSIONS

Type 2 diabetes mellitus, but not hypertension, hyperlipidemia or age increases the risk of circumcision in men aged between 30 and 69 years.

[Eating Habits of People with Type 2 Diabetes Mellitus in Portugal: A Cross-Sectional Study]

INTRODUCTION

Nutrition is a cornerstone of diabetes mellitus prevention and management; therefore, it is essential to enable patients to adopt healthy eating habits. Previous studies have not yet documented the main errors in the eating habits of Portuguese people with type 2 diabetes mellitus. This study aims to identify the main errors in the eating habits of people living with type 2 diabetes mellitus in Portugal and to evaluate its associations with sociodemographic variables.

METHODS

Cross-sectional multicentric study in a convenience sample of people with type 2 diabetes mellitus in Primary Health Care Units. The UK Diabetes and Diet Questionnaire (UKDDQ) - translated and adapted, was applied from July to October 2022. Descriptive and inferential statistical analyses were conducted.

RESULTS

Of the 550 participants, 52.2% were female, 68.3% were 65 years or over, 55.8 % had an education level up to the fourth grade, 24.7% had economic deprivation, and the mean time since diagnosis was 10.60 ± 8.13 years. Only 36.2% of the sample had a healthy UKDDQ score. Less than 50% of the sample had healthy scores for the items "high-fiber rice or pasta", "high-fiber bread", "butter, margarine and vegetable oils" and "vegetables and pulses". Only 8.9% of the sample had a healthy consumption of fiber. About 70.4% reported healthy scores for the consumption of "high-added-sugar foods" and 54.7% for "high-saturated fat". A statistically significant weak positive correlation was found between the UKDDQ score and age (ρ = 0.201, p < 0.001) with a more frequent choice of healthy foods with increasing age. Female respondents reported healthier habits, particularly in the consumption of "high-saturated fat" and "high-fiber foods".

CONCLUSION

The majority of our sample did not take advantage of the potential benefits of healthy eating habits. The main food groups whose consumption should be emphasized or discouraged were individualized, particularly the need to encourage the consumption of high-fiber foods. Targeted educational actions must focus especially on younger and/or male patients.

Patient-Centered Medicine and Self-Care of Patients with Type 2 Diabetes: A Cross-Sectional Study

INTRODUCTION

Even though the prevalence rate of diabetes in Portugal is one of the highest in Europe, no studies on the association between patient centered medicine, diabetes self-care, and glycemic control have been published. Assuming that patient centered medicine increases adherence to treatment through the improvement of the doctor-patient relationship, the aim of this study was to assess the influence of patient-centered medicine on the self-care of patients with type 2 diabetes patients' (T2DM) in two Family Health Units in Central Portugal, according to gender and age.

MATERIAL AND METHODS

A cross-sectional study was conducted in two Family Health Units in Central Portugal between the 25th November 2021 and the 15th January 2022. Patients with type 2 diabetes were invited to fill in the Patient-Centered Medicine questionnaire, for patients (PCM-p) (where higher values represent worse results) and the Summary of Diabetes Self-Care Activities Measure (SDSCAM), (where higher values represent better results), while healthcare professionals filled in the epidemiologic variables on pre-defined days.

RESULTS

A sample of 298 patients with type 2 diabetes was studied. Linear regressions for the association between SDSCAM scale factors and PCM-p showed significant associations for general diet (β = -0.07, p < 0.001), specific diet (β = -0.10, p < 0.001), exercise (β = -0.03, p = 0.008), foot care (β = -0.11, p < 0.001) and medication adherence in general (β = -0.06, p = 0.001). Multiple linear regression including the association between glycated hemoglobin (HbA1c) and the SDSCAM scale dimensions showed that specific diet was associated with lower HbA1c levels (β = -0.01, p = 0.007) and blood sugar testing (β = 0.01, p < 0.001) and that a higher score in PCMp was associated with higher HbA1c levels (β = 0.06, p < 0.001). Male patients (β = -6.93, p = 0.007) and older patients (β = -0.42, p = 0.001) were associated with lower scores in the specific diet. The male gender was associated with higher scores in exercise (β = 7.62, p = 0.029), lower scores in foot care (β = -6.06, p = 0.029) and lower scores in medication adherence to injectable medicines/6.2 (β = -0.73, p = 0.018). Age was associated with a lower score in medication (β = -0.03, p = 0.045) and a higher PCMp total score (β = 0.07, p = 0.030).

CONCLUSION

Patient-centered medicine in type 2 diabetics is associated with better self-care behaviors in patients with type 2 diabetes. Gender and age differences were observed in self-care behaviors and age differences were observed in Patient Centered Medicine.

Associations of combined polygenic risk score and glycemic status with atrial fibrillation, coronary artery disease and ischemic stroke

BACKGROUND

It is unknown whether high hemoglobin A1c (HbA1c) is associated with increases in the risk of cardiovascular disease among individuals with elevated genetic susceptibility. We aimed to investigate the association between HbA1c and atrial fibrillation (AF), coronary artery disease (CAD), and ischemic stroke according to the polygenic risk score (PRS).

METHODS

The UK Biobank cohort included 502,442 participants aged 40-70 years who were recruited from 22 assessment centers across the United Kingdom from 2006 to 2010. This study included 305,605 unrelated individuals with available PRS and assessed new-onset AF, CAD, and ischemic stroke. The participants were divided into tertiles based on the validated PRS for each outcome. Within each PRS tertiles, the risks of incident events associated with HbA1c levels were investigated and compared with HbA1c < 5.7% and low PRS. Data were analyzed from November 2022 to May 2023.

RESULTS

Of 305,605 individuals, 161,605 (52.9%) were female, and the mean (SD) age was 56.6 (8.1) years. During a median follow-up of 11.9 (interquartile range 11.1-12.6) years, the incidences of AF, CAD, and ischemic stroke were 4.6, 2.9 and 1.1 per 100 person-years, respectively. Compared to individuals with HbA1c < 5.7% and low PRS, individuals with HbA1c ≥ 6.5% and high PRS had a 2.67-times higher risk for AF (hazard ratio [HR], 2.67; 95% confidence interval (CI), 2.43-2.94), 5.71-times higher risk for CAD (HR, 5.71; 95% CI, 5.14-6.33) and 2.94-times higher risk for ischemic stroke (HR, 2.94; 95% CI, 2.47-3.50). In the restricted cubic spline models, while a U-shaped trend was observed between HbA1c and the risk of AF, dose-dependent increases were observed between HbA1c and the risk of CAD and ischemic stroke regardless PRS tertile.

CONCLUSIONS

Our results suggest that the nature of the dose-dependent relationship between HbA1c levels and cardiovascular disease in individuals with different PRS is outcome-specific. This adds to the evidence that PRS may play a role together with glycemic status in the development of cardiovascular disease.

The impact of diabetes, anemia, and renal function in the relationship between osteoporosis and fasting blood glucose among Taiwanese women: a cross-sectional study

BACKGROUND

The aim of this study was to investigate the association between fasting blood glucose and osteoporosis in women with diabetes, anemia, and renal function.

METHODS

The medical records of women who underwent a general health examination at a regional hospital in southern Taiwan were retrospectively reviewed. Logistic regression analysis was performed to assess the association between osteoporosis and fasting blood glucose separately for the eight subgroups (diabetes or non-diabetes, anemia or non-anemia, normal or decreased renal function), adjusting for other clinical characteristics and laboratory findings.

RESULTS

A total of 11,872 women were included in the study. Among women with diabetes, anemia, and decreased renal function, an increment of 10 mg/dL in fasting blood glucose was associated with an increased risk of osteoporosis (adjusted odds ratio [aOR] = 1.57, p = 0.004). Among women without diabetes, fasting blood glucose was significantly associated with an increased risk of osteoporosis in those with anemia and normal renal function (OR = 1.14, p = 0.023) and those without anemia and normal renal function (OR = 1.04, p = 0.015), but these associations were not significant after adjusting for other covariates.

CONCLUSIONS

Higher fasting blood glucose levels in women with diabetes, anemia, and decreased renal function were associated with an increased risk of osteoporosis. Clinicians should be vigilant about glucose control in patients with diabetes to reduce the risk of fracture.

Single-cell and transcriptomic analyses reveal the influence of diabetes on ovarian cancer

BACKGROUND

There has been a significant surge in the global prevalence of diabetes mellitus (DM), which increases the susceptibility of individuals to ovarian cancer (OC). However, the relationship between DM and OC remains largely unexplored. The objective of this study is to provide preliminary insights into the shared molecular regulatory mechanisms and potential biomarkers between DM and OC.

METHODS

Multiple datasets from the GEO database were utilized for bioinformatics analysis. Single cell datasets from the GEO database were analysed. Subsequently, immune cell infiltration analysis was performed on mRNA expression data. The intersection of these datasets yielded a set of common genes associated with both OC and DM. Using these overlapping genes and Cytoscape, a protein‒protein interaction (PPI) network was constructed, and 10 core targets were selected. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were then conducted on these core targets. Additionally, advanced bioinformatics analyses were conducted to construct a TF-mRNA-miRNA coregulatory network based on identified core targets. Furthermore, immunohistochemistry staining (IHC) and real-time quantitative PCR (RT-qPCR) were employed for the validation of the expression and biological functions of core proteins, including HSPAA1, HSPA8, SOD1, and transcription factors SREBF2 and GTAT2, in ovarian tumors.

RESULTS

The immune cell infiltration analysis based on mRNA expression data for both DM and OC, as well as analysis using single-cell datasets, reveals significant differences in mononuclear cell levels. By intersecting the single-cell datasets, a total of 119 targets related to mononuclear cells in both OC and DM were identified. PPI network analysis further identified 10 hub genesincludingHSP90AA1, HSPA8, SNRPD2, UBA52, SOD1, RPL13A, RPSA, ITGAM, PPP1CC, and PSMA5, as potential targets of OC and DM. Enrichment analysis indicated that these genes are primarily associated with neutrophil degranulation, GDP-dissociation inhibitor activity, and the IL-17 signaling pathway, suggesting their involvement in the regulation of the tumor microenvironment. Furthermore, the TF-gene and miRNA-gene regulatory networks were validated using NetworkAnalyst. The identified TFs included SREBF2, GATA2, and SRF, while the miRNAs included miR-320a, miR-378a-3p, and miR-26a-5p. Simultaneously, IHC and RT-qPCR reveal differential expression of core targets in ovarian tumors after the onset of diabetes. RT-qPCR further revealed that SREBF2 and GATA2 may influence the expression of core proteins, including HSP90AA1, HSPA8, and SOD1.

CONCLUSION

This study revealed the shared gene interaction network between OC and DM and predicted the TFs and miRNAs associated with core genes in monocytes. Our research findings contribute to identifying potential biological mechanisms underlying the relationship between OC and DM.

Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features

Purpose: This study aims to predict the progression of Diabetes Mellitus (DM) from the clinical notes through machine learning based on latent Dirichlet allocation (LDA) topic modeling. Particularly, 174,427 clinical notes of DM patients were collected from the electronic medical record (EMR) system of the Seoul National University Hospital outpatient clinic. Method: We developed a model to predict the development of DM complications. Topics developed by the topic model were exploited as the key feature of our machine-learning model. The proposed model generalized a correlation between topic structures and complications. Results: The model provided acceptable predictive performance for all four types of complications (diabetic retinopathy, diabetic nephropathy, nonalcoholic fatty liver disease, and cerebrovascular accident). Upon employing extreme gradient boosting (XGBoost), we obtained the F1 scores of the predictions for each complication type as 0.844, 0.921, 0.831, and 0.762. Conclusion: This study shows that a machine learning project based on topic modeling can effectively predict the progress of a disease. Furthermore, a unique way of topic model transplanting, which matches the dimension of the topic structures of the two data sets, is presented.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13534-023-00322-7.

Prevalence of Diabetic Retinopathy Among Individuals with Diabetes in Gulf Cooperation Council countries: A Systematic Review and Meta-analysis

Objectives

To determine the proportion of diabetic retinopathy (DR) among individuals with diabetes mellitus in the Gulf Cooperation Council (GCC) countries.

Methods

This study was executed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Online databases including Scopus, Web of Sciences, PubMed, Index Medicus for the eastern Mediterranean region, Medline, and ProQuest, were utilized to retrieve studies on the prevalence of DR in GCC countries that were conducted from 2003 to 2019.

Results

Twenty articles were included in the meta-analysis, involving 61 855 patients. The prevalence of DR was 20.5% (95% CI: 20.212-20.850). The highest prevalence rate was observed in Saudi Arabia (69.8%; 95% CI: 64.989-74.216) and the lowest in the UAE (6.0%; 95% CI: 2.780-11.084). There was a significant heterogeneity between the reviewed studies (p < 0.001).

Conclusions

The prevalence of DR was high in the GCC countries. Our findings provide crucial information for the public healthcare systems in these countries to actively educate the public and screen at-risk populations for undiagnosed cases of diabetes, detect early stages of retinopathy, and provide required care to minimize the number of untreated cases.

Prevalence of Cognitive Impairment and Associated Factors Among Diabetes Mellitus Patients Attending Follow-up Treatment at Fiche General Hospital, North Ethiopia

Introduction

Cognitive impairment is having trouble remembering, learning new things, concentrating, or making decisions that affect the daily life of diabetic patients. The worldwide prevalence of diabetes mellitus (DM) was 2.8% in 2000 and is estimated to be 4.4% by 2030.

Objective

To assess the prevalence of cognitive impairment and associated factors among DM patients attending follow-up treatment at Fiche General Hospital, North Ethiopia, 2022.

Methods

A hospital-based cross-sectional study was conducted from July 15 to September 15, 2022. The total sample size was 421 and a systematic random sampling technique was used. Data were collected through a face-to-face interview. Data were entered using EpiData Version 3.1 and exported to SPSS Version 24 for analysis. Statistically significant was declared at a P-value of less than .05 with an adjusted odds ratio (AOR) and 95% confidence interval (CI).

Result

The prevalence of cognitive impairment in the current study was 56.3% with (95% CI: 51.5-60.8). Primary educational status (AOR 6.73, 95% CI: 2.92-15.51), having Type II DM (AOR 4.93, 95% CI: 2.84-8.56), uncontrolled blood sugar (AOR 6.24, 95% CI: 3.84-10.17), and current alcohol use (AOR 1.94, 95% CI: 1.11-3.36) were significantly associated.

Conclusion

About three in 5 DM patients attending follow-up treatment at Fiche General Hospital were suffering from cognitive impairment. Educational status, type of DM, status of fasting blood sugar, and current alcohol use were associated with cognitive impairment among DM patients. Therefore, improving educational status, controlling blood sugar, and avoiding alcohol use may reduce the risk of cognitive impairment in DM patients.

Quantitative Assessment of Mitochondrial Morphology and Electrophysiological Function in the Diabetic Heart

Mitochondria within a cardiomyocyte form a highly dynamic network that undergoes fusion and fission events in response to acute and chronic stressors, such as hyperglycemia and diabetes mellitus. Changes in mitochondrial architecture and morphology not only reflect their capacity for oxidative phosphorylation and ATP synthesis but also impact their subcellular localization and interaction with other organelles. The role of these ultrastructural abnormalities in modulating electrophysiological properties and excitation-contraction coupling remains largely unknown and warrants direct investigation considering the growing appreciation of the functional and structural coupling between the mitochondrial network, the calcium cycling machinery, and sarcolemmal ion channels in the cardiac myocyte. In this Methods in Molecular Biology chapter, we provide a protocol that allows for a quantitative assessment of mitochondrial shape and morphology in control and diabetic hearts that had undergone detailed electrophysiological measurements using high resolution optical action potential (AP) mapping.

Pediatric diabetes mellitus hospitalizations and COVID-19 pandemic response measures

AIMS

In the United States, evidence suggests that during the COVID-19 pandemic, admissions of patients with diabetes mellitus (DM) have increased. This study assessed hospital admission rates for pediatric type 1 (T1DM) and type 2 (T2DM) diabetes mellitus during 2019-2021, and the potential influence of the timing of various pandemic response measures.

METHODS

Retrospective chart reviews were conducted of 854 T1DM and 135 T2DM hospital admissions between January 2019 and December 2021 in patients < 20 years old to collect demographic data, admission type, body mass index (BMI), and area deprivation index (ADI, a measure of socioeconomic vulnerability). Patients were divided into three cohorts based on their admission year: 2019 (Pre-pandemic), 2020 (Pandemic, Pre-vaccine), and 2021 (Pandemic, Post-vaccine). Admissions were categorized within each cohort by diagnosis (T1DM or T2DM) and clinical presentation (new onset, diabetic ketoacidosis: DKA). Cohorts were compared using an independent samples t-test for continuous variables or a chi-square test for categorical variables.

RESULTS

The incidence of T2DM hospitalizations tripled during the pandemic, increasing from 18 in 2019 (Pre-pandemic), to 55 in 2020 (Pandemic, Pre-vaccine), and 62 in 2021 (Pandemic, Post-vaccine). The rate of patients presenting with DKA was 15.4 % (95 % CI: 4 %-26.9 %) higher in 2020 (Pandemic, Pre-vaccine) among patients with new-onset T1DM (72/139 vs. 52/143), and 22.5 % (95 % CI: 9.6 %-35.4 %) higher in 2020 (Pandemic, Pre-vaccine) among T2DM patients (9/40 vs. 0/14). This increased rate of new onset T2DM significantly correlated with younger age (P = 0.046) and higher ADI score (P = 0.017), but not with BMI.

CONCLUSION

The incidence of T1DM hospitalizations did not increase during the pandemic; however, they tripled for T2DM patients. All new onset DM pediatric patients during the pandemic were more likely to present in DKA. Patients admitted with new onset T2DM were socioeconomically more vulnerable. For T1DM, the peak of local pediatric diabetes admissions in 2020 occurred slightly later coinciding with the reopening of primary care physicians (PCP) offices and schools.

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study

OBJECTIVES

This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life.

METHODS

This crosssectional study analyzed data from 3376 adults over 30 years old at 16 comprehensive health service centers in Tehran, Iran who participated in a diabetes screening program. The dataset was balanced using random sampling and the synthetic minority over-sampling technique (SMOTE). The dataset was split into training set (80%) and test set (20%). Shapley values were calculated to select the most important features. Noise analysis was performed by adding Gaussian noise to the numerical features to evaluate the robustness of feature importance. Five different machine learning algorithms, including CatBoost, random forest, XGBoost, logistic regression, and an artificial neural network, were used to model the dataset. Accuracy, sensitivity, specificity, accuracy, the F1-score, and the area under the curve were used to evaluate the model.

RESULTS

Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important factors for predicting fasting blood glucose status. Though the models achieved similar predictive ability, the CatBoost model performed slightly better overall with 0.737 area under the curve (AUC).

CONCLUSIONS

A gradient boosted decision tree model accurately identified the most important risk factors related to diabetes. Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important risk factors for diabetes, respectively. This model can support planning for diabetes management and prevention.

Fruits and the Risk of Type 2 Diabetes: The Korean Genome and Epidemiology Study Cohort

BACKGROUND

To determine the association between type 2 diabetes mellitus and the consumption of various fruits.

METHODS

The Korean Genome And Epidemiology Study is an ongoing prospective longitudinal cohort study of community dwellers and participants (men and women, aged 40-69 years) recruited from the national health examinee registry of Korea. Their individual consumption habits for 12 different fruit types were recorded using food frequency questionnaires. The fruits were then divided into three groups according to their glycemic indexes and glycemic loads. Participants with extreme caloric intakes, pre-existing type 2 diabetes mellitus, chronic kidney diseases, chronic liver diseases, and ongoing cancer treatments were excluded. The incidence of type 2 diabetes in the cohort was identified through self-reporting and supplemented by glycated hemoglobin and fasting blood glucose levels.

RESULTS

A total of 2,549 cases of type 2 diabetes were documented during 283,033.8 person-years of follow-up. After adjusting for personal, lifestyle, and dietary risk factors for diabetes, the pooled hazard ratio of type 2 diabetes for every serving per week of total whole fruit consumption was 1.02 (95% confidence interval [CI], 0.99-1.06; P=0.2). With mutual adjustment of individual fruits, the pooled hazard ratios of type 2 diabetes for every serving per week were 0.94 (95% CI, 0.88-1.00; P=0.039) for bananas, and 0.90 (95% CI, 0.84-0.96; P<0.001) for grapes.

CONCLUSION

Our findings suggest associations between the consumption of certain fruits and the risk of developing type 2 diabetes. A greater consumption of grapes was significantly associated with a lower risk of type 2 diabetes in our cohort, but the total amount of fruit consumption was not associated with a reduced risk.

A Novel PTRH2 Gene Mutation Causing Infantile-onset Multisystem Neurologic, Endocrine, and Pancreatic Disease in a Bahraini Patient

Infantile-onset multisystem neurologic, endocrine, and pancreatic disease (IMNEPD) is a rare autosomal recessive multisystemic disease with a prevalence of < 1/1 000 000. The wide spectrum of symptoms and associated diseases makes the diagnosis of this disease particularly challenging. Here, we report a 12-year-old Bahraini male who presented with the core clinical features of IMNEPD including intellectual disability, global developmental delay, sensorineural hearing loss, endocrine dysfunction, and exocrine pancreatic insufficiency. The diagnosis was confirmed by genetic testing using whole exome sequencing. This is the first reported case of IMNEPD from Bahrain and was found to have a novel homozygous peptidyl-tRNA hydrolase 2 (PTRH2) gene mutation (NM_001015509.2: c.370del p.(Glu124Lysfs*4)). Moreover, we conducted an extensive literature review with an emphasis on the variable clinical spectrum and genotypes of previously reported patients in comparison to our case.

Obesity indices and the risk of total and cardiovascular mortality among people with diabetes: a long-term follow-up study in Taiwan

BACKGROUND

The association between obesity indicators and mortality in individuals with diabetes remains unclear, and data on cardiovascular mortality are scarce. Therefore, we investigated the associations between the five adiposity indices and both all-cause and cardiovascular mortality in patients with diabetes.

METHODS

This cohort study included 34,686 adults with diabetes who underwent a standard health-screening program between 1996 and 2017 in Taiwan. The dates and causes of death till January 2022 were retrieved from the National Death Registry. Cox proportional hazards models were used to calculate the hazard ratios (HR) and 95% confidence intervals (CI) for all-cause and cardiovascular mortality in relation to body mass index (BMI), waist circumference, waist-hip ratio (WHR), body fat percentage (BF%), and A Body Shape Index (ABSI), using the third quintile as the reference group.

RESULTS

During a median follow-up of 15 years, there were 8,324 deaths, of which 1,748 were attributed to cardiovascular disease. After adjusting for demographics, lifestyle factors and comorbidities, ABSI was associated with all-cause mortality in an exposure-response manner; the HR (95% CI) for first and fifth vs. third quintile was 0.78 (0.69-0.89) and 1.24 (1.14-1.35), respectively. A similar but weaker exposure-response relationship was found between WHR and mortality. People with a lower BMI and BF% had an increased risk of mortality (HR [95% CI] for the first vs. third quintiles, 1.33 [1.22, 1.44] and 1.42 [1.30, 1.56], respectively). No association was observed between waist circumference categories and risk of mortality. Similar results were observed for the association of BF%, waist circumference, and ABSI with cardiovascular mortality. However, no significant association was observed between BMI and cardiovascular mortality. The association between WHR and cardiovascular mortality was stronger than that between WHR and all-cause mortality.

CONCLUSIONS

ABSI demonstrated a consistent exposure-response relationship with both all-cause and cardiovascular mortality in this Asian cohort with diabetes. Our findings highlight the importance of monitoring ABSI, a surrogate index of central adiposity, in patients with diabetes.

Effects of diabetes mellitus and glycemic traits on cardiovascular morpho-functional phenotypes

BACKGROUND

The effects of diabetes on the cardiac and aortic structure and function remain unclear. Detecting and intervening these variations early is crucial for the prevention and management of complications. Cardiovascular magnetic resonance imaging-derived traits are established endophenotypes and serve as precise, early-detection, noninvasive clinical risk biomarkers. We conducted a Mendelian randomization (MR) study to examine the association between two types of diabetes, four glycemic traits, and preclinical endophenotypes of cardiac and aortic structure and function.

METHODS

Independent genetic variants significantly associated with type 1 diabetes, type 2 diabetes, fasting insulin (FIns), fasting glucose (FGlu), 2 h-glucose post-challenge (2hGlu), and glycated hemoglobin (HbA1c) were selected as instrumental variables. The 96 cardiovascular magnetic resonance imaging traits came from six independent genome-wide association studies. These traits serve as preclinical endophenotypes and offer an early indication of the structure and function of the four cardiac chambers and two aortic sections. The primary analysis was performed using MR with the inverse-variance weighted method. Confirmation was achieved through Steiger filtering and testing to determine the causal direction. Sensitivity analyses were conducted using the weighted median, MR-Egger, and MR-PRESSO methods. Additionally, multivariable MR was used to adjust for potential effects associated with body mass index.

RESULTS

Genetic susceptibility to type 1 diabetes was associated with increased ascending aortic distensibility. Conversely, type 2 diabetes showed a correlation with a reduced diameter and areas of the ascending aorta, as well as decreased distensibility of the descending aorta. Genetically predicted higher levels of FGlu and HbA1c were correlated with a decrease in diameter and areas of the ascending aorta. Furthermore, higher 2hGlu levels predominantly showed association with a reduced diameter of both the ascending and descending aorta. Higher FIns levels corresponded to increased regional myocardial-wall thicknesses at end-diastole, global myocardial-wall thickness at end-diastole, and regional peak circumferential strain of the left ventricle.

CONCLUSIONS

This study provides evidence that diabetes and glycemic traits have a causal relationship with cardiac and aortic structural and functional remodeling, highlighting the importance of intensive glucose-lowering for primary prevention of cardiovascular diseases.

The prevalence of diabetes distress in Chinese patients with type 2 diabetes: A systematic review and meta-analysis

OBJECTIVE

To systematically evaluate the prevalence of Diabetes Distress (DD) in type 2 diabetes mellitus (T2DM) patients in China.

METHODS

The PubMed, PsycInfo, Web of Science, The Cochrane Library, EMBASE, China Knowledge Resource in Integrated Database (CNKI), WanFang Database, Weipu Database (VIP), and Chinese Biomedical Database (CBM) electronic databases were searched from inception to August 2022, for cross-sectional studies, that reported prevalence of DD.

RESULTS

This study included 55 articles involving 13,160 patients with T2DM. The pooled prevalence of DD was 53.2%. The results of the subgroup analysis showed that among the five regions in China, the highest prevalence of DD was observed in Central China (66%), while the lowest prevalence was recorded in North China (23%). The highest prevalence of DD was 82% in unmarried people. while the lowest prevalence of DD among outpatients was as low as 42%. The results of meta-regression showed that there was no correlation between the prevalence of DD and the year of publication, the average age of the patients, or the duration of the disease.

CONCLUSION

More than half of T2DM patients in China may suffer from DD, which is not conducive to the self-management of diabetes patients. The burden on the healthcare system and the burden of disease on individual patients may increase as a result. Medical staff should pay attention to the monitoring and management of the mental health status of patients with T2DM.