Impact of migration on diabetes burden: audit in the metropolitan area of Bologna, Italy

PURPOSE

To investigate the impact of diabetes in immigrants on the Italian healthcare system, as well as their compliance with standard protocols of control and treatment.

METHODS

The prevalence of immigrants with diabetes living in the metropolitan area of Bologna (about 1 million inhabitants) in 2019 was investigated using a database containing all subjects in active follow-up for diabetes, based on antidiabetic drug use, disease-specific copayment exemption, ICD-9 codes, continuous care in diabetes units. Country of origin was derived from fiscal code.

RESULTS

The overall prevalence of diabetes (n = 53,941; 51.8% males, median age 64) was 6.1% in both Italy-born and immigrant cohorts. Immigrant prevalence was 12.4%, moderately higher than that observed in the total population (12.2%). Diabetes risk was increased in the whole immigrant cohort (odds ratio (OR) 1.74; 95% Confidence Interval (CI) 1.69-1.79). Among cases with incident diabetes, the proportion of immigrants (median age, 49 vs. 65 in Italy-born individuals) increased progressively from 11.7% to 26.5% from 2011 to 2019 (males, 8.9-21.0%; females, 14.9-32.8%) in all age groups, particularly in young adults, but also in older subjects. Metabolic control was lower in immigrants, as was adherence to shared diagnostic and therapeutic protocols, without systematic differences in antidiabetic drug use, but much lower use of drugs for comorbid conditions.

CONCLUSIONS

The population with diabetes in the metropolitan area of Bologna is rapidly changing. Quality improvement initiatives are needed to reduce the burden for the universalistic Italian health care system generated by the rapidly-growing high-risk immigrant population.

Association between unstable diabetes mellitus and risk of pancreatic cancer

BACKGROUND

Deterioration of glycaemic control in people with long-standing diabetes mellitus (diabetes) may be a possible indicator of pancreatic cancer. However, the magnitude of the association between diabetes deterioration and pancreatic cancer has received little attention.

METHODS

We conducted a matched cohort study, nested within a population-based cohort of Australian women with diabetes. Women with unstable diabetes, defined as a change in medication after a 2-year period of stable medication use, were matched by birth year to those with stable diabetes, in a 1:4 ratio. We used flexible parametric survival models to estimate hazard ratios (HRs) and 95% confidence intervals (CI).

RESULTS

We included 134,954 and 539,789 women in the unstable and stable diabetes cohorts, respectively (mean age 68 years). In total, 1,315 pancreatic cancers were diagnosed. Deterioration of stable diabetes was associated with a 2.5-fold increased risk of pancreatic cancer (HR 2.55; 95% CI 2.29-2.85). The risk was particularly high within the first year after diabetes deteriorated. HRs at 3 months, 6 months and 1 year were: 5.76 (95% CI 4.72-7.04); 4.56 (95% CI 3.81-5.46); and 3.33 (95% CI 2.86-3.89), respectively. The risk was no longer significantly different after 7 years.

CONCLUSIONS

Deterioration in glycaemic control in people with previously stable diabetes may be an indicator of pancreatic cancer, suggesting investigations of the pancreas may be appropriate. The weaker longer-term (3-7 years) association between diabetes deterioration and pancreatic cancer may indicate that poor glycaemic control can be a risk factor for pancreatic cancer.

Neutrophil: Lymphocyte and Platelet: Lymphocyte ratios measured before transplantation and their correlation with new-onset diabetes post-transplantation in renal transplant recipients

PURPOSE

Our goal was to evaluate the neutrophil:lymphocyte (NLR) and platelet:lymphocyte (PLR) ratios measured before transplantation and their correlation with new-onset diabetes after transplantation (NODAT) in renal transplant recipients.

PATIENTS AND METHODS

We conducted our study in 324 adult patients consecutively admitted to Military Hospital 103, Ha Noi, Viet Nam, who received kidney allografts from living donors. These patients were followed-up during the first 2 years post-transplantation for NODAT. We examined the association between NLR and PLR measured prior to transplantation in patients with NODAT: NLR and PLR were calculated based on the results of the complete blood count. The criteria for diagnosis of a fully symptomatic NODAT case were based on the guidelines established by the American Diabetes Association and included fasting venous blood glucose and glycosylated hemoglobin A1c (HbA1c) levels, with or without an oral glucose tolerance test.

RESULTS

The overall rate of NODAT during the two years after kidney transplantation was 13.6%. We found mean values of age and body mass index (BMI), and median values of NLR, PLR, high sensitivity C-reactive protein (hs-CRP) levels, and the arteriosclerosis ratio in the NODAT group to be significantly higher than those of the non-NODAT group (all p < 0.05). Furthermore, an adjusted multivariate regression analysis showed that age (area under the curve [AUC] = 0.727, p < 0.001), BMI (AUC = 0.846, p < 0.001), serum hs-CRP levels (AUC = 0.884, p < 0.001), NLR (AUC = 0.888; p < 0.001), and PLR (AUC = 0.818; p < 0.001) had predictive value for NODAT.

CONCLUSION

NLR and PLR measured before transplantation were good predictors for NODAT in the first 2 years post-renal transplantation.

Advancing diabetes primary care education and knowledge in Nepal: A scoping review and case study discussion

AIMS

Diabetes mellitus (DM) is a chronic disorder of insulin and glucose metabolism. It affects more than 463 million people worldwide and is expected to reach 700 million by 2045. In the Southeast Asian region, the prevalence of DM has tripled to 115 million due to rapid urbanization, unhealthy diet, sedentary lifestyles, and genetic factors. In Nepal, a developing country, DM affects 8.5% of adults, with an alarming increase in recent years. Lack of diabetes education and limited populational adoption of behavioural changes further hamper care.

METHODS

In the present study, we performed a scoping review to determine the status of awareness, attitudes, and knowledge about diabetes in the Nepalese population with a focus on the educational initiatives that have been implemented. We also conducted a two-week international case study discussion among medical students to brainstorm viable intervention strategies.

RESULTS

Our findings indicate that limited data is available on the level of education or initiatives to improve knowledge and practice among healthcare professionals and community members. Targeted studies of people with diabetes also present heterogeneous results due to differences in the sample population, geographic location, education, age, and gender. Accordingly, we propose five interrelated education-based strategies that leverage existing networks to expand community outreach and engagement, improve system resilience, and improve health outcomes.

CONCLUSIONS

Effective education for healthcare professionals, community, and patients with diabetes is vital in improving diabetes outcomes in Nepal and South Asia. Collaboration, funding, and evaluation are key areas needing reform.

Alteration of the ankle brachial index, follow-up of patients at risk of peripheral arterial disease, a descriptive longitudinal study

Background The objective of this study was to detect peripheral arterial disease (PAD) by measuring the ankle-brachial index (ABI) in patients attending medical offices in primary health care who presented a moderate or high risk on the risk scale of Framingham. Design longitudinal descriptive. Setting urban health center. Materials and methods Patients at risk of peripheral arterial disease of the lower limbs: diabetes mellitus (DM), cardiovascular disease (CVD), high cardiovascular risk (HCR) (SCORE>5%), and/or compatible symptoms. Consecutive sampling, n=136 (expected prevalence 8%, alpha 0.05, precision 0.95, projected losses 20%). Dependent variable: ankle-brachial index (ABI). Independent variables: hypertension (HBP), age, sex, CVD, DM, glycosylated hemoglobin (HbA1C), hyperlipidemia (HLP), LDL cholesterol (LDL), smoking, body mass index (BMI), pulses, treatment. Multivariate analysis: linear regression. Confidence level 95%. Results From a sample of 136 patients, 90 were male (66.2%) and 46 were female (33.8%), with a mean age of 72.2 years (in 2021), and a standard deviation (SD) of 7. The prevalence of abnormal ABI (ABI <0.9) was 11%, with a mean ABI of 0.7 (SD 0.18). The bivariate analysis showed a significant relationship between abnormal ABI and pulse palpation (p<0.0001). Excluding patients with ABI ≥ 1.4, in the multivariate analysis (coefficient of determination 0.977), the B coefficients and their 95% confidence intervals (CI) are as follows: age B=0.006, 95% CI (0.002-0.010) (p=0.003); diabetes B=0.289, 95% CI (0.1-0.479) (p=0.003); pulse palpation B= -0.199, 95% CI (-0.289- -0.11) (p<0.0001). Conclusions Doctor consultations in primary care are a favorable context for making an early diagnosis of PAD, by measuring the ABI. The performance of the ABI should be included as part of the annual examination for chronic patients who regularly attend consultations, particularly those with moderate or high cardiovascular risk. In this way, preventive measures could be intensified to prevent future cardiovascular complications in these patients. The predictors of ABI are age, diabetes, and palpation of pulses.

Diabetes specialist intervention in general practices in areas of deprivation and ethnic diversity: A qualitative evaluation (QUAL-ECLIPSE)

AIM

To assess patients' and healthcare professionals' perspectives of a specialist-led Diabetes Risk-based Assessment Clinic (DIRAC) for people with diabetes at high risk of complications (PWDHRC) in areas of deprivation in Coventry, UK.

METHODS

A qualitative evaluation of a pilot trial, comprising a specialist team intervention (DIRAC), was undertaken in seven GP practices through observations of weekly virtual or occasional face-to-face patient consultations and monthly interventionists' meetings. Semi-structured interviews were carried out post-intervention, with PWDHRC, primary care clinicians and diabetes specialists (interventionists). Thematic analyses of observations and interviews were undertaken.

KEY FINDINGS

Over 12 months, 28 DIRAC clinics comprising 154 patient consultations and five interventionists' meetings, were observed. 19 interviews were undertaken, PWDHRC experienced 'culturally-sensitive care from a specialist-led clinic intervention encompassing integrated care. This model of care was recommended at GP practice level, all participants (PWDHRC, primary care clinicians and diabetes specialist interventionists) felt upskilled to deal with complex diabetes care. The EMIS and ECLIPSE technologies utilised during the intervention were perceived to positively contribute to diabetes management of PWDHRC despite reservations around cost and database.

CONCLUSION

The specialist-led DIRACs were largely appreciated by study participants. These qualitative data support the trial progressing to a full-service evaluation.

Is diabetic retinopathy screening worthwhile among people first diagnosed with diabetes at older ages? A cohort study of Norfolk diabetic retinopathy screening programme

AIMS

England's Diabetic Eye Disease Screening Programme offers screening to every resident over age 12 with diabetes, starting as soon as possible after diagnosis and repeated annually. People first diagnosed with diabetes at older ages have shorter life expectancy and therefore may be less likely to benefit from screening and treatment. To inform decisions about whether diabetic eye screening policy should be stratified by age, we investigated the probability of receiving treatment according to age at first screening episode.

METHODS

This was a cohort study of participants in the Norfolk Diabetic Retinopathy Screening Programme from 2006 to 2017, with individuals' programme data linked to hospital treatment and death data recorded up to 2021. We estimated and compared the probability, annual incidence and screening costs of receiving retinal laser photocoagulation or intravitreal injection and of death, in age groups defined by age at first screening episode.

RESULTS

The probability of death increased with increasing age at diagnosis, while the probability of receiving either treatment decreased with increasing age. The estimated cost of screening per person who received either or both treatments was £18,608 among all participants, increasing with age up to £21,721 in those aged 70-79 and £26,214 in those aged 80-89.

CONCLUSIONS

Diabetic retinopathy screening is less effective and less cost-effective with increasing age at diagnosis of diabetes, because of the increasing probability of death before participants develop sight-threatening diabetic retinopathy and can benefit from treatment. Upper age limits on entry into screening programmes or risk stratification in older age groups may, therefore, be justifiable.

Novel time-saving OGTT sparing HbA1c-HOMA2 based algorithm for the diagnosis of cystic fibrosis-related diabetes

AIMS

The diagnosis of cystic fibrosis-related diabetes (CFRD) faces several challenges. We propose a novel screening algorithm to alleviate the burden of cystic fibrosis (CF).

METHODS

Through a retrospective cross-sectional single-centre study, HbA1c and HOMA2 indices were assessed in multiple models as alternative diagnostic tools from OGTT data. We sought to establish specific thresholds for CFRD screening with oral glucose tolerance test (OGTT) as gold standard. We evaluated various straightforward or sequential approaches, in terms of diagnostic accuracy while also quantify the potential reduction in OGTTs through these different methods.

RESULTS

HOMA indices were recovered in 72 patients. We devised a composite index that combines HbA1c and HOMA-B: Diabetes Predicting Index in cystic fibrosis (DIPIc) = (HbA1c(%) × 3.455) - (HOMA-B(%) ×  0.020) - 19.294. This index yields the highest screening accuracy according to receiver-operating characteristics curves. Using a stepwise algorithm that incorporates DIPIc decreases the requirement for annual OGTTs. A CFRD exclusion cutoff less than -1.7445 (sensitivity 98 %), in conjunction with a CFRD diagnostic threshold greater than 0.4543 (specificity 98 %) allows for 71 % OGTT sparing.

CONCLUSION

The composite index DIPIc is a suitable, less invasive screening method for CFRD, which enables to avoid many OGTTs.

Evaluating the association between gingival crevicular blood glucose levels and finger capillary blood glucose levels according to periodontal status

OBJECTIVES

The aim of this study was to evaluate the association between gingival crevicular blood glucose levels (GCBG) and finger capillary blood glucose levels (FCBG) according to the periodontal status of patients.

MATERIALS AND METHODS

In this case-control study, 80 patients were divided into 4 groups according to their periodontal status. In these patients, an area of the maxillary gingiva with the highest probing depth was selected for blood sampling. Blood glucose obtained from this area and the right fingertip was measured with a glucometer. Data were analyzed using ANOVA and Pearson correlation coefficient with a significance threshold of 0.05.

RESULTS

The groups studied were matched in regard to their sex and age (P > 0.05). The average FCBG and GCBG were not significantly different according to periodontal status (P > 0.05). The correlation between the FCBG and the GCBG showed a significant positive correlation in the total number of participants (P < 0.05, r = 0.531).

CONCLUSION

The study observed a positive association between GCBG and FCBG. However, the relationship with periodontal status appeared to be relatively weak. Further research may be needed to determine the potential efficacy of GCBG in diabetes screening during periodontal examinations.

CLINICAL RELEVANCE

Most patients with diabetes do not have proper periodontal health, so it may be helpful to screen for diabetes during periodontal examinations.

Clinical evaluation of the reference intervals for diabetes in Chinese geriatric population: a cross-sectional cohort study protocol

INTRODUCTION

Diabetes mellitus (DM) is an important health issue that affects the ageing population. China has the largest geriatric population and the largest number of diabetes cases in the world. This poses a significant challenge for healthcare providers and policymakers. Haemoglobin A1C (HbA1c), which is one of the diagnostic criteria for diabetes, is affected by many factors such as pregnancy, age, race and anaemia. Glycated albumin (GA) is not influenced by factors that affect HbA1c concentrations, although it has been used in the diagnosis of diabetes in a few people. The aim of this study protocol is to determine reference intervals (RIs) of HbA1c and GA for the diagnosis of older adults with diabetes in China and to assess the optimal cut-off values for these parameters from a health economic perspective.

METHODS AND ANALYSIS

This cross-sectional survey study will recruit 1278 community-dwelling older adults aged 60-89 in Chengdu City. The data collection process will involve a questionnaire survey, a comprehensive physical examination and the collection of blood samples for laboratory testing. Data analyses will be conducted on the pooled sample and stratified by gender, age or other demographic features if necessary. Rates will be compared using the χ2 test or Fisher test and receiver operating characteristic (ROC) curves will be used to identify the most effective threshold values for HbA1c and GA for diagnosing diabetes among older adults in China.

ETHICS AND DISSEMINATION

The study protocol was approved by the ethics review board of the Bioethics Subcommittee of West China Hospital, Sichuan University (Approval No. 1705 in 2022). The study's results will be disseminated through peer-reviewed journals and scientific conferences.

TRIAL REGISTRATION NUMBER

ChiCTR2300070831.

Association of temporal change in body mass index with sudden cardiac arrest in diabetes mellitus

BACKGROUND

Underweight imposes significant burden on cardiovascular outcomes in patients with diabetes mellitus. However, less is known about the impact of serial change in body weight status measured as body mass index (BMI) on the risk of sudden cardiac arrest (SCA). This study investigated the association between SCA and temporal change in BMI among patients with diabetes mellitus.

METHODS

Based on Korean National Health Insurance Service database, participants with diabetes mellitus who underwent health examination between 2009 and 2012 and had prior health examination data (four years ago, 2005-2008) were retrospectively analyzed. BMI was measured at baseline (2005-2008) and 4-year follow-up health examination (2009-2012). Patients were classified in four groups according to the body weight status and its temporal change: sustained non-underweight, sustained underweight, previous underweight, and newly developed underweight. Primary outcome was defined as occurrence of SCA.

RESULTS

A total of 1,355,746 patients with diabetes mellitus were included for analysis, and SCA occurred in 12,554 cases. SCA was most common in newly developed underweight (incidence rate = 4.45 per 1,000 person-years), followed by sustained underweight (incidence rate = 3.90), previous underweight (incidence rate = 3.03), and sustained non-underweight (incidence rate = 1.34). Adjustment of covariates resulted highest risk of SCA in sustained underweight (adjusted hazard ratio = 2.60, 95% confidence interval [2.25-3.00], sustained non-underweight as a reference), followed by newly developed underweight (2.42, [2.15-2.74]), and previous underweight (2.12, [1.77-2.53]).

CONCLUSIONS

In diabetes mellitus, sustained underweight as well as decrease in body weight during 4-year follow-up imposes substantial risk on SCA. Recovery from underweight over time had relatively lower, but yet increased risk of SCA. Both underweight and dynamic decrease in BMI can be associated with increased risk of SCA.

Mixed Potential Type Acetone Sensor with Ultralow Detection Limit for Diabetic Ketosis Breath Analysis

Breath analysis using gas sensors is an emerging method for disease screening and diagnosis. Since it is closely related to the lipid metabolism and blood ketone concentration of the body, the detection of acetone content in exhaled breath is helpful for the screening and monitoring of diabetes and ketosis. The development of an acetone sensor with high selectivity, stability, and low detection limit has been the research focus for this purpose. Here, we developed a mixed potential type acetone sensor based on Gd2Zr2O7 solid electrolyte and CoSb2O6 sensing electrode. The developed sensor exhibits an extremely low detection limit of 10 ppb, enabling linear detection for acetone in an extremely wide range of 10 ppb-100 ppm. The good results of systematic evaluation on selectivity, repeatability, and stability prove the superior reliability of the sensor, which is a prerequisite for the application in actual breath detection. The ability of the sensor to distinguish healthy people from diabetic ketosis patients was confirmed by using the sensor to detect the breath of healthy people and diabetic patients, proving the feasibility of the sensor in the diagnosis and monitoring of diabetic ketosis.

Remote HbA1c testing via microsampling: fit for purpose?

The collection of capillary blood microsamples via finger-prick has several advantages over traditional blood collection. It is considered convenient and more patient-centric, enabling collection of the sample by the patient at her/his home with subsequent analysis in the lab following postal shipment. Determination of the diabetes biomarker HbA1c in self-collected microsamples to remotely monitor diabetes patients seems to be a very promising option which could eventually lead to better treatment adaptations and disease control. This is especially convenient/relevant for patients living in areas where venipuncture is impractical, or to support virtual consultations using telemedicine. Over the years, a substantial numbers of reports on HbA1c and microsampling have been published. However, the heterogeneity of the applied study designs and data evaluation is remarkable. This review provides a general and critical overview of these papers, along with specific points of attention that should be dealt with when aiming at implementing microsampling for reliable HbA1c determination. We focus on the used (dried) blood microsampling techniques, collection conditions, stability of the microsamples, sample extraction, analytical methods, method validation, correlation studies with conventional venous blood samples and patient satisfaction. Lastly, the possibility of using liquid instead of dried blood microsamples is discussed. Liquid blood microsampling is expected to have similar advantages as dried blood microsampling and several studies suggest it to be a suitable approach to collect samples remotely for subsequent HbA1c analysis in the lab.

Ketonuria in an adult with Prader-Willi syndrome and diabetes mellitus: A case report

RATIONALE

Prader-Willi syndrome (PWS) is a genetic disorder affecting multiple systems. Approximately one-quarter of PWS patients will develop diabetes. Given the uncontrolled hyperphagia and resultant severe obesity in these patients, their glycemic management poses a significant challenge.

CASE REPORT

We present the clinical profile of a male patient diagnosed with both PWS and diabetes. Previous administration of the sodium-glucose co-transporter 2 (SGLT-2) inhibitor Canagliflozin resulted in improved glycemic control and weight management. But at the age of 25, the patient was hospitalized due to worsened glycemic control and the detection of ketonuria. After thorough examination and clinical observation, we discovered that the patient ketonuria was associated with enhanced lipid metabolism related to Canagliflozin. After excluding the risk of SGLT-2 inhibitor-induced euglycemic diabetic ketoacidosis, adjustments of the hypoglycemic regimen, building upon prior treatment, were recommended for the patient.

CONCLUSION

It is important to note that among patients with both PWS and diabetes, the utilization of SGLT-2 inhibitors can lead to the emergence of ketonuria due to increased lipolysis. Therefore, any decision to discontinue SGLT-2 inhibitors should undergo thorough evaluation.

Real-time kinetic analysis and detection of glycated hemoglobin A1c using a quartz crystal microbalance-based aptasensor

Glycated hemoglobin (HbA1c) has been an important biomarker for long-term diagnosis and monitoring of diabetes mellitus. The development of a rapid, reliable, and less sophisticated device to measure HbA1c is imperative to facilitate efficient early-care diabetes management. To date, no existing aptamer-based biosensor (aptasensor) for detecting HbA1c has been developed using a quartz crystal microbalance (QCM). In this study, the aptamer specific to HbA1c as a novel biosensing receptor was covalently functionalized onto a QCM substrate via mixed self-assembled monolayers (SAMs). A portable QCM equipped with a liquid-flow module was used to investigate the biospecificity, sensitivity, and interaction dynamics of the aptamer functionalized surfaces. The real-time kinetic analysis of HbA1c binding to the surface-functionalized aptamers revealed "on" and "off" binding rates of 4.19 × 104 M-1 s-1 and 2.43 × 10-3 s-1, respectively. These kinetic parameters imply that the QCM-based aptasensor specifically recognizes HbA1c with an equilibrium dissociation constant as low as 57.99 nM. The linear detection of HbA1c spanned from 13 to 108 nM, with a limit of detection (LOD) of 26.29 nM. Moreover, the spiked plasma sample analysis offered compelling evidence that this aptasensor is a promising technique for developing a point-of-care device for diabetes mellitus.

Comparing glycemic traits in defining diabetes among rural Chinese older adults

BACKGROUND

We sought to identify the optimal cut-off of glycated hemoglobin (HbA1c) for defining diabetes and to assess the agreements of fasting plasma glucose (FPG), fasting serum glucose (FSG), and HbA1c in defining diabetes among rural older adults in China.

METHODS

This population-based cross-sectional study included 3547 participants (age ≥61 years, 57.8% women) from the Multidomain Interventions to Delay Dementia and Disability in Rural China from 2018-2019; of these, 3122 had no previously diagnosed diabetes. We identified the optimal cut-off of HbA1c against FPG ≥7.0 mmol/L for defining diabetes by using receiver operating characteristic curve and Youden index. The agreements of FPG, FSG, and HbA1c in defining diabetes were assessed using kappa statistics.

RESULTS

Among participants without previously diagnosed diabetes (n = 3122), the optimal HbA1c cut-off for defining diabetes was 6.5% (48 mmol/mol), with the sensitivity of 88.9%, specificity of 93.7%, and Youden index of 0.825. The correlation coefficients were 0.845 between FPG and FSG, 0.574 between FPG and HbA1c, and 0.529 between FSG and HbA1c in the total sample (n = 3547). The kappa statistic for defining diabetes was 0.962 between FSG and FPG, and 0.812 between HbA1c and FPG.

CONCLUSIONS

The optimal cut-off of HbA1c for diagnosing diabetes against FPG >7.0 mmol/L is ≥6.5% in Chinese rural-dwelling older adults. The agreement in defining diabetes using FPG, FSG, and HbA1c is nearly perfect. These results have relevant implications for diabetes research and clinical practice among older adults in China.

CLINICAL TRIAL REGISTRATION

The protocol of MIND-China was registered in the Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR1800017758).

Surveillance for Diabetes in Hospital-Evaluation of Dashboard Effectiveness

There is a large burden of diabetes in Western Sydney, and this descriptor is also valid for the inpatient population. Optimizing diabetes care in hospital is important to prevent inpatient morbidity. A surveillance system was developed to address this need and a diabetes dashboard was developed around a data model built around the patient journey that integrated key data feeds from the pathology, medication, and patient administration systems. This facilitated the rapid identification and triaging of individuals with diabetes. We evaluated this dashboard using high level clinical and financial indicators. This implementation resulted in an improved time to patient review, and a reduction in 28-day readmission rates but the inpatient length of hospital stay was unchanged. (116 words).

Using 8-Hydroxy-2'-Deoxiguanosine (8-OHdG) as a Reliable Biomarker for Assessing Periodontal Disease Associated with Diabetes

In recent years, research has shown that oxidative stress plays a significant role in chronic inflammatory conditions. The alteration of the oxidant/antioxidant balance leads to the appearance of free radicals, important molecules involved in both diabetes mellitus and periodontal disease. Diabetes is considered to be one of the major risk factors of periodontal disease and the inflammation characterizing this condition is associated with oxidative stress, implicitly resulting in oxidative damage to DNA. 8-Hydroxydeoxyguanosine (8-OHdG) is the most common stable product of oxidative DNA damage caused by reactive oxygen species, and its levels have been reported to increase in body fluids and tissues during inflammatory conditions. 8-OHdG emerges as a pivotal biomarker for assessing oxidative DNA damage, demonstrating its relevance across diverse health conditions, including neurodegenerative disorders, cancers, inflammatory conditions, and periodontal disease. Continued research in this field is crucial for developing more precise treatments and understanding the detailed link between oxidative stress and the progression of periodontitis. The use of the 8-OHdG biomarker in assessing and managing chronic periodontitis is an area of increased interest in dental research, with the potential to provide crucial information for diagnosis and treatment.

The synergistic effect of diabetes mellitus and osteoporosis on the all-cause mortality: a cohort study of an American population

Background

The increasing incidence of diabetes mellitus (DM) and osteoporosis have different effects on prognosis. The two often co-occur, so we aimed to investigate whether DM and osteoporosis have an effect on all-cause death and whether DM and osteoporosis have a synergistic effect.

Methods

This study analyzed 18,658 subjects from five cycles of the National Health and Nutrition Examination Survey (NHANES). The primary endpoint was all-cause death. The subjects were divided into four groups based on the presence or absence of DM and osteoporosis. Survival curves and Cox regression analysis based on NHANES recommended weights were used to assess the risk of all-cause death between the diseased and non-diseased groups and to calculate additive interactions to assess whether there was a synergistic effect between diabetes and osteoporosis.

Results

The group with DM and osteoporosis had the lowest survival rate. After full adjustment for confounders, patients with DM alone had a 30% higher risk of all-cause death compared with those without DM and osteoporosis (HR: 1.30, 95%CI: 1.09-1.55). Patients with osteoporosis alone had a 67% higher risk of all-cause death (HR: 1.67, 95%CI:1.16-2.43) and patients with combined DM and osteoporosis had a 127% higher risk of all-cause death (HR:2.27, 95%CI: 1.57-3.27). There was an additive interaction between DM and osteoporosis [RERI (95%CI): 1.03(0.55-1.50)] and excess mortality risk of 38% [AP (95% CI) 0.38(0.30-0.46)].

Conclusions

There might be a synergistic effect of DM and osteoporosis on all-cause mortality, and patients with both conditions have a higher risk of death.

Prognostic implications of systemic immune-inflammation index in myocardial infarction patients with and without diabetes: insights from the NOAFCAMI-SH registry

BACKGROUND

It is well-known that systemic inflammation plays a crucial role in the pathogenesis and prognosis of acute myocardial infarction (AMI). The systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) is a novel index that is used for the characterization of the severity of systemic inflammation. Recent studies have identified the high SII level as an independent predictor of poor outcomes in patients with AMI. We aimed to investigate the prognostic implications of SII in AMI patients with and without diabetes mellitus (DM).

METHODS

We included 2111 patients with AMI from February 2014 to March 2018. Multivariable Cox regression analyses were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of all-cause death and cardiovascular (CV) death. Multiple imputation was used for missing covariates.

RESULTS

Of 2111 patients (mean age: 65.2 ± 12.2 years, 77.5% were males) analyzed, 789 (37.4%) had DM. Generalized additive model analyses showed that as the SII increased, the C-reactive protein and peak TnT elevated while the LVEF declined, and these associations were similar in patients with and without DM. During a median of 2.5 years of follow-up, 210 all-cause deaths and 154 CV deaths occurred. When treating the SII as a continuous variable, a higher log-transformed SII was significantly associated with increased all-cause mortality (HR: 1.57, 95%CI: 1.02-2.43) and CV mortality (HR: 1.85, 95%CI 1.12-3.05), and such an association was also significant in the diabetics (HRs and 95%CIs for all-cause death and CV death were 2.90 [1.40-6.01] and 3.28 [1.43-7.57], respectively) while not significant in the nondiabetics (Pinteraction for all-cause death and CV death were 0.019 and 0.049, respectively). Additionally, compared to patients with the lowest tertiles of SII, those with the highest tertiles of SII possessed significantly higher all-cause mortality (HR: 1.82, 95%CI 1.19-2.79) and CV mortality (HR: 1.82, 95%CI 1.19-2.79) after multivariable adjustment, and this relationship remained pronounced in the diabetics (HRs and 95%CIs for all-cause death and CV death were 2.00 [1.13-3.55] and 2.09 [1.10-3.98], respectively) but was not observed in the nondiabetics (HRs and 95%CIs for all-cause death and CV death were 1.21 [0.75-1.97] and 1.60 [0.89-2.90], respectively). Our restricted cubic splines analyses indicated a pronounced linear association between SII and mortality only in diabetics.

CONCLUSIONS

In AMI patients with DM, high SII is an independent predictor of poor survival and may be helpful for patient's risk stratification.

Circulating palmitoyl sphingomyelin levels predict the 10-year increased risk of cardiovascular disease death in Chinese adults: findings from the Da Qing Diabetes Study

BACKGROUND

Higher levels of palmitoyl sphingomyelin (PSM, synonymous with sphingomyelin 16:0) are associated with an increased risk of cardiovascular disease (CVD) in people with diabetes. Whether circulating PSM levels can practically predict the long-term risk of CVD and all-cause death remains unclear. This study aimed to investigate whether circulating PSM is a real predictor of CVD death in Chinese adults with or without diabetes.

METHODS

A total of 286 and 219 individuals with and without diabetes, respectively, from the original Da Qing Diabetes Study were enrolled. Blood samples collected in 2009 were used as a baseline to assess circulating PSM levels. The outcomes of CVD and all-cause death were followed up from 2009 to 2020, and 178 participants died, including 87 deaths due to CVD. Cox proportional hazards regression was used to estimate HRs and their 95% CIs for the outcomes.

RESULTS

Fractional polynomial regression analysis showed a linear association between baseline circulating PSM concentration (log-2 transformed) and the risk of all-cause and CVD death (p < 0.001), but not non-CVD death (p > 0.05), in all participants after adjustment for confounders. When the participants were stratified by PSM-tertile, the highest tertile, regardless of diabetes, had a higher incidence of CVD death (41.5 vs. 14.7 and 22.2 vs. 2.9 per 1000 person-years in patients with and without diabetes, respectively, all log-rank p < 0.01). Individuals with diabetes in the highest tertile group had a higher risk of CVD death than those in the lowest tertile (HR = 2.73; 95%CI, 1.20-6.22).

CONCLUSIONS

Elevated PSM levels are significantly associated with a higher 10-year risk of CVD death, but not non-CVD death, in Chinese adults with diabetes. These findings suggest that PSM is a potentially useful long-term predictor of CVD death in individuals with diabetes.

Diabetes mellitus is associated to high-risk late gadolinium enhancement and worse outcomes in patients with nonischemic dilated cardiomyopathy

BACKGROUND

Diabetes mellitus (DM) is associated with a worse prognosis in patients with heart failure. Our aim was to analyze the clinical and imaging features of patients with DM and their association with outcomes in comparison to nondiabetic patients in a cohort of patients with nonischemic dilated cardiomyopathy (DCM).

METHODS

This is a prospective cohort study of patients with DCM evaluated in a tertiary care center from 2018 to 2021. Transthoracic echocardiography and cardiac magnetic resonance findings were assessed. A high-risk late gadolinium enhancement (LGE) pattern was defined as epicardial, transmural, or septal plus free-wall. The primary outcome was a composite of heart failure hospitalizations and all-cause mortality. Multivariable analyses were performed to evaluate the impact of DM on outcomes.

RESULTS

We studied 192 patients, of which 51 (26.6%) had DM. The median left ventricular ejection fraction was 30%, and 106 (55.2%) had LGE. No significant differences were found in systolic function parameters between patients with and without DM. E/e values were higher (15 vs. 11.9, p = 0.025), and both LGE (68.6% vs. 50.4%; p = 0.025) and a high-risk LGE pattern (31.4% vs. 18.5%; p = 0.047) were more frequently found in patients with DM. The primary outcome occurred more frequently in diabetic patients (41.2% vs. 23.6%, p = 0.017). DM was an independent predictor of outcomes (OR 2.01; p = 0.049) and of LGE presence (OR 2.15; p = 0.048) in the multivariable analysis. Patients with both DM and LGE had the highest risk of events (HR 3.1; p = 0.003).

CONCLUSION

DM is related to a higher presence of LGE in DCM patients and is an independent predictor of outcomes. Patients with DM and LGE had a threefold risk of events. A multimodality imaging approach allows better risk stratification of these patients and may influence therapeutic options.

Interaction between diabetes and body mass index on severe headache or migraine in adults: a cross-sectional study

BACKGROUND

Research on the effects of body mass index (BMI) on severe headache or migraine is limited and controversial. The aim of this study was to explore the association between BMI and the prevalence of migraine, with particular interest in diabetes status difference.

METHODS

The present study used analyzed data from people who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2004. Logistic regression models and restricted cubic spline (RCS) models were applied to investigate the relationship between body mass index and migraine.

RESULTS

A total of 10,074 adults aged 20 years or older were included in this study. Body mass index was positively related to migraine, and the corresponding odds ratio (OR; 95% CI) was 1.02 (1.01, 1.03; p < 0.001). And compared to participants in the lowest group of body mass index (< 25 kg/m2), the adjusted ORs for migraine in medium group (25-29.9 kg/m2), and highest group (≥ 30 kg/m2) were 1.14 (95% CI: 0.98-1.32, p = 0.09) and 1.30 (95% CI: 1.11-1.52, p = 0.0022), respectively. The relationship between BMI and migraine exhibited a linear in overall in the RCS. Our findings also suggested an interaction between BMI and diabetes. The relationship between BMI and migraine in adults with diabetes was non-linear. The OR of developing migraine was 1.30 (95% CI: 1.10-1.54) in individuals with BMI ≥ 29.71 kg/m2 in adults with diabetes.

CONCLUSION

A higher body mass index is significantly associated with an increased prevalence of migraine, and diabetes status can modify the association between them.

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

BACKGROUND

Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine.

OBJECTIVE

We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.

METHODS

We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications, screening studies, and in silico samples. In studies following the ML workflow of training, validation, and testing of results, reporting quality was assessed via MI-CLAIM by consensus judgments of independent reviewer pairs. Positive answers to the 17 binary items regarding sufficient reporting were qualitatively summarized and counted as a proxy measure of reporting quality. The synthesis of results included testing the association of reporting quality with publication and data type, participants (human or in silico), research goals, level of code sharing, and the scientific field of publication (medical or engineering), as well as with expert judgments of clinical impact and reproducibility.

RESULTS

After screening 1043 records, 28 studies were included. The sample size of the training cohort ranged from 5 to 561. Six studies featured only in silico patients. The reporting quality was low, with great variation among the 21 studies assessed using MI-CLAIM. The number of items with sufficient reporting ranged from 4 to 12 (mean 7.43, SD 2.62). The items on research questions and data characterization were reported adequately most often, whereas items on patient characteristics and model examination were reported adequately least often. The representativeness of the training and test cohorts to real-world settings and the adequacy of model performance evaluation were the most difficult to judge. Reporting quality improved over time (r=0.50; P=.02); it was higher than average in prognostic biomarker and risk factor studies (P=.04) and lower in noninvasive hypoglycemia detection studies (P=.006), higher in studies published in medical versus engineering journals (P=.004), and higher in studies sharing any code of the ML pipeline versus not sharing (P=.003). The association between expert judgments and MI-CLAIM ratings was not significant.

CONCLUSIONS

The reporting quality of ML studies in the pediatric population with DM was generally low. Important details for clinicians, such as patient characteristics; comparison with the state-of-the-art solution; and model examination for valid, unbiased, and robust results, were often the weak points of reporting. To assess their clinical utility, the reporting standards of ML studies must evolve, and algorithms for this challenging population must become more transparent and replicable.

Development and application of Chinese medical ontology for diabetes mellitus

OBJECTIVE

To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies.

MATERIALS AND METHODS

We used various data sources, including Chinese clinical practice guidelines, expert consensus, literature, and hospital information system database schema, to build the CDMO. We combined top-down and bottom-up strategies and integrated text mining and cross-lingual ontology mapping. The ontology was validated by clinical experts and ontology development tools, and its application was validated through clinical decision support and Chinese natural language medical question answering.

RESULTS

The current CDMO consists of 3,752 classes, 182 fine-grained object properties with hierarchical relationships, 108 annotation properties, and over 12,000 mappings to other well-known medical ontologies in English. Based on the CDMO and clinical practice guidelines, we developed 200 rules for diabetes diagnosis, treatment, diet, and medication recommendations using the Semantic Web Rule Language. By injecting ontology knowledge, CDMO enhances the performance of the T5 model on a real-world Chinese medical question answering dataset related to diabetes.

CONCLUSION

CDMO has fine-grained semantic relationships and extensive annotation information, providing a foundation for medical artificial intelligence applications in Chinese contexts, including the construction of medical knowledge graphs, clinical decision support systems, and automated medical question answering. Furthermore, the development process incorporated natural language processing and cross-lingual ontology mapping to improve the quality of the ontology and improved development efficiency. This workflow offers a methodological reference for the efficient development of other high-quality Chinese as well as non-English medical ontologies.

Serum-based ATR-FTIR spectroscopy combined with multivariate analysis for the diagnosis of pre-diabetes and diabetes

Diabetes mellitus (DM) is a metabolic disease with an increasing prevalence that is causing worldwide concern. The pre-diabetes stage is the only reversible stage in the patho-physiological process towards DM. Due to the limitations of traditional methods, the diagnosis and detection of DM and pre-diabetes are complicated, expensive, and time-consuming. Therefore, it would be of great benefit to develop a simple, rapid and inexpensive diagnostic test. Herein, the infrared (IR) spectra of serum samples from 111 DM patients, 111 pre-diabetes patients and 333 healthy volunteers were collected using attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy and this was combined with the multivariate analysis of principal component analysis linear discriminant analysis (PCA-LDA) to develop a discriminant model to verify the diagnostic potential of this approach. The study found that the accuracy of the test model established by ATR-FTIR spectroscopy combined with PCA-LDA was 97%, and the sensitivity and specificity were 100% and 100% in the control group, 94% and 98% in the pre-diabetes group, and 91% and 98% in the DM group, respectively. This indicates that this method can effectively diagnose DM and pre-diabetes, which has far-reaching clinical significance.

Reduced thoracic skeletal muscle size is associated with adverse outcomes in diabetes patients with heart failure and reduced ejection fraction: quantitative analysis of sarcopenia by using cardiac MRI

BACKGROUND

Sarcopenia is frequently found in patients with heart failure with reduced ejection fraction (HFrEF) and is associated with reduced exercise capacity, poor quality of life and adverse outcomes. Recent evidence suggests that axial thoracic skeletal muscle size could be used as a surrogate to assess sarcopenia in HFrEF. Since diabetes mellitus (DM) is one of the most common comorbidities with HFrEF, we aimed to explore the potential association of axial thoracic skeletal muscle size with left ventricular (LV) remodeling and determine its prognostic significance in this condition.

METHODS

A total of 243 diabetes patients with HFrEF were included in this study. Bilateral axial thoracic skeletal muscle size was obtained using cardiac MRI. Patients were stratified by the tertiles of axial thoracic skeletal muscle index (SMI). LV structural and functional indices, as well as amino-terminal pro-B-type natriuretic peptide (NT-proBNP), were measured. The determinants of elevated NT-proBNP were assessed using linear regression analysis. The associations between thoracic SMI and clinical outcomes were assessed using a multivariable Cox proportional hazards model.

RESULTS

Patients in the lowest tertile of thoracic SMI displayed a deterioration in LV systolic strain in three components, together with an increase in LV mass and a heavier burden of myocardial fibrosis (all P < 0.05). Moreover, thoracic SMI (β = -0.25; P < 0.001), rather than body mass index (β = -0.04; P = 0.55), was independently associated with the level of NT-proBNP. The median follow-up duration was 33.6 months (IQR, 20.4-52.8 months). Patients with adverse outcomes showed a lower thoracic SMI (40.1 [34.3, 47.9] cm2/m2 vs. 45.3 [37.3, 55.0] cm2/m2; P < 0.05) but a similar BMI (P = 0.76) compared with those without adverse outcomes. A higher thoracic SMI indicated a lower risk of adverse outcomes (hazard ratio: 0.96; 95% confidence interval: 0.92-0.99; P = 0.01).

CONCLUSIONS

With respect to diabetes patients with HFrEF, thoracic SMI is a novel alternative for evaluating muscle wasting in sarcopenia that can be obtained by a readily available routine cardiac MRI protocol. A reduction in thoracic skeletal muscle size predicts poor outcomes in the context of DM with HFrEF.

Inconsistencies in self-reported diabetes in a large panel study: the Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND

The validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsistent self-reports of diabetes in a long panel study.

METHODS

SHARE (Survey of Health, Ageing and Retirement in Europe) includes 140,000 persons aged ≥ 50 years from 28 European countries and Israel. We used data from waves 1 to 7 (except wave 3) collected between 2004 and 2017. Diabetes was assessed by self-report. An inconsistent report for diabetes was defined as reporting the condition in one wave, but denying it in at least one later wave. The analysis data set included 13,179 persons who reported diabetes, and answered the question about diabetes in at least one later wave. Log-binomial regression models were fitted to estimate crude and adjusted relative risks (RR) with 95% confidence intervals (CI) for the associations between various exposure variables and inconsistent report of diabetes.

RESULTS

The proportion of persons with inconsistent self-reports of diabetes was 33.0% (95% CI: 32.2%-33.8%). Inconsistencies occurred less often in persons taking antidiabetic drugs (RR = 0.53 (0.53-0.56)), persons with BMI ≥ 35 kg/m2 versus BMI < 25 kg/m2 (RR = 0.70, (0.64-0.77)), and poor versus excellent subjective health (RR = 0.87 (0.75-1.01)). Inconsistencies occurred more often in older persons (RR = 1.15 (1.12-1.18) per 10 years increase of age), and persons not reporting their age at diabetes onset (RR = 1.38 (1.31-1.45)).

CONCLUSION

In SHARE, inconsistent self-report of diabetes is frequent. Consistent reports are more likely for persons whose characteristics make diabetes more salient, like intake of antidiabetic medication, obesity, and poor subjective health. However, lack of attention in answering the questions, and poor wording of the items may also play a role.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study

BACKGROUND

Atherosclerosis is closely linked with glucose metabolism. We aimed to investigate the role of the atherogenic index of plasma (AIP) in the reversal of prediabetes to normal blood glucose levels or its progression to diabetes.

METHODS

This multi-center retrospective cohort study included 15,421 prediabetic participants from 32 regions across 11 cities in China, under the aegis of the Rich Healthcare Group's affiliated medical examination institutions. Throughout the follow-up period, we monitored changes in the glycemic status of these participants, including reversal to normal fasting glucose (NFG), persistence in the prediabetic state, or progression to diabetes. Segmented regression, stratified analysis, and restricted cubic spline (RCS) were performed based on the multivariable Cox regression model to evaluate the association between AIP and the reversal of prediabetes to NFG or progression to diabetes.

RESULTS

During a median follow-up period of 2.9 years, we recorded 6,481 individuals (42.03%) reverting from prediabetes to NFG, and 2,424 individuals (15.72%) progressing to diabetes. After adjusting for confounders, AIP showed a positive correlation with the progression from prediabetes to diabetes [(Hazard ratio (HR) 1.42, 95% confidence interval (CI):1.24-1.64)] and a negative correlation with the reversion from prediabetes to NFG (HR 0.89, 95%CI:0.81-0.98); further RCS demonstrated a nonlinear relationship between AIP and the reversion from prediabetes to NFG/progression to diabetes, identifying a turning point of 0.04 for reversion to NFG and 0.17 for progression to diabetes. In addition, we observed significant differences in the association between AIP and reversion from prediabetes to NFG/progression to diabetes across age subgroups, specifically indicating that the risk associated with AIP for progression from prediabetes to diabetes was relatively higher in younger populations; likewise, a younger age within the adult group favored the reversion from prediabetes to NFG in relation to AIP.

CONCLUSION

Our study, for the first time, reveals a negative correlation between AIP and the reversion from prediabetes to normoglycemia and validates the crucial role of AIP in the risk assessment of prediabetes progression. Based on threshold analysis, therapeutically, keeping the AIP below 0.04 was of paramount importance for individuals with prediabetes aiming for reversion to NFG; preventatively, maintaining AIP below 0.17 was vital to reduce the risk of diabetes onset for those with prediabetes.

Glycemic control and cardiovascular outcomes in patients with diabetes and coronary artery disease according to triglyceride-glucose index: a large-scale cohort study

BACKGROUND

The role of triglyceride-glucose (TyG) index, an insulin resistance indicator, in glycemic management for diabetic patients with coronary artery disease (CAD) was still unknown. Therefore, we aimed to explore the association between glycemic control and cardiovascular (CV) outcomes in patients with diabetes and CAD according to different TyG index levels.

METHODS

A total of 9996 diabetic patients with angiograph-proven CAD were consecutively recruited from 2017 to 2018 at Fuwai Hospital. Patients were assigned into 3 groups according to TyG index tertiles (T) (T1: <8.895; T2: 8.895-9.400; T3: ≥9.400). According to American Diabetes Association guidelines, controlled glycemia was defined as targeting glycosylated hemoglobin Alc (HbA1c) < 7%. The primary endpoint was CV events including CV death, nonfatal myocardial infarction, and nonfatal stroke.

RESULTS

During a median 3-year follow-up, 381 (3.8%) CV events occurred. Overall, high TyG index (T3) was associated with increased risk of CV events (hazard ratio [HR]: 1.40; 95% confidence interval [CI]: 1.02-1.94) compared with the lowest TyG index (T1) after multivariable adjustment. Upon stratification by the TyG index, in fully adjusted models, controlled glycemia was associated with reduced risk of CV events in the high TyG index (T3) subgroup (HR: 0.64; 95%CI: 0.42-0.96) but not in the low (T1; HR: 0.79; 95%CI: 0.53-1.16) and moderate (T2; HR: 0.84; 95%CI: 0.56-1.25) TyG index subgroups.

CONCLUSIONS

Controlled glycemia was associated with improved CV outcomes in patients with diabetes and established CAD, especially in those with high TyG index levels. Our study, for the first time, provided valuable information that TyG index could help making risk stratification on the glycemic management in diabetic patients with CAD.

Time trend and costs of hospitalizations with diabetes mellitus as main diagnosis in the Brazilian National Health System, 2011 to 2019

OBJECTIVE

To analyze the diabetes mellitus (DM) temporal trend and hospitalization costs in Brazil, by region, Federative Units (FUs) and population characteristics, from 2011 to 2019.

METHODS

This was an ecological study with data from the Hospital Information System, analyzing the annual trend in hospitalization rates for DM according to sex, age, race/skin color and region/FU by Prais-Winsten generalized linear regression.

RESULTS

A total of 1,239,574 DM hospitalizations were recorded in the country and the hospitalization rates was 6.77/10,000 inhabitants in the period. The DM hospitalization rates trend was falling for both sexes and in most regions, while it was rising in the younger population and for length of stay (average 6.17 days). Total expenditure was US$ 420,692.23 and it showed a rising trend.

CONCLUSION

The temporal trend of hospitalization rates due to DM was falling, with differences according to region/FU and age group. Average length of stay and expenditure showed a rising trend.

MAIN RESULTS

From 2011 to 2019, the diabetes mellitus hospitalization rate was 6.77 per 10,000 inhabitants, with a falling trend. Total expenditure was US$420,692.23 and it showed a rising trend.

IMPLICATIONS FOR SERVICES

The study warns of the increase in child and adolescent hospitalizations, which indicates the need to invest in preventive actions and early diagnosis.

PERSPECTIVES

The increase in length of hospital stay and related costs indicates a worrying scenario for the Brazilian National Health System and emphasizes the need to improve access to and quality of care, with a focus on diabetes education, so as to avoid complications and hospitalizations.

Impact of PCSK9 inhibitors in glycaemic control and new-onset diabetes

BACKGROUND

The diabetogenic effect of statins has been well established by clinical trials, Mendelian randomisation studies and meta-analyses. According to large clinical trials, PCSK9 inhibitors (PCSK9i) have no deleterious impact on glucose metabolism. However, few real-life studies have yet evaluated the long-term effects of these drugs on glucose homeostasis and their impact on new-onset diabetes (NODM).

METHODS

We studied 218 patients treated with either alirocumab or evolocumab (70% with familial hypercholesterolemia) for at least three years (PCSK9iG). We studied the NODM rate in the nondiabetic group at baseline (168) and overall glucose metabolism control in the whole group. Incidental DM was compared with two groups. The first was a propensity score matching (PSM)-selected group (n = 168) from the database of patients attending the Reus lipid unit (Metbank, n = 745) who were not on PCSK9i (PSMG). The second was a subgroup with a similar age range (n = 563) of the Di@bet.es study (Spanish prospective study on diabetes development n = 5072) (D@G). The incidence was reported as the percentage of NODM cases per year.

RESULTS

The fasting glucose (FG) level of the subjects with normoglycaemia at baseline increased from 91 (86-95.5) to 93 (87-101) mg/dL (p = 0.014). There were 14 NODM cases in the PCSK9i group (2.6%/y), all among people with prediabetes at baseline. The incidence of NODM in PSMG and D@G was 1.8%/y (p = 0.69 compared with the PCSK9iG). The incidence among the subjects with prediabetes was 5.1%/y in the PCSK9iG, 4.8%/y in the PSMG and 3.9%/y in the D@G (p = 0.922 and p = 0.682, respectively). In the multivariate analysis, only the FG level was associated with the development of NODM in the PCSK9iG (OR 1.1; 95% CI: 1.0-1.3; p = 0.027). Neither FG nor A1c levels changed significantly in patients with DM at baseline.

CONCLUSION

A nonsignificant increase in NODM occurred in the PCSK9iG, particularly in patients with prediabetes, compared with the PSMG and D@G groups. Baseline FG levels were the main variable associated with the development of DM. In the subjects who had DM at baseline, glucose control did not change. The impact of PCSK9i on glucose metabolism should not be of concern when prescribing these therapies.

[Lower Limb Amputations in Patients with Peripheral Arterial Disease and/or Diabetes in Iceland 2010-2019; revascularisation, comorbidities and risk factors]

INTRODUCTION

No recent studies exist on lower extremity amputations (LLAs) in Iceland. The aim of this study was to investigate LLA incidence in Iceland 2010-2019 and preceding procedures in amputations induced by peripheral arterial disease (PAD) and diabetes mellitus (DM).

MATERIAL AND METHODS

Retrospective study on clinical records of all patients (>18 years) who underwent LLA in Iceland's two main hospitals during 2010-2019. Patients were excluded if LLA was performed for reasons other than DM and/or PAD. Symptoms, medication and circulation assessment were recorded from first hospital visit due to symptoms, and prior to the last LLA, respectively. Previous arterial surgeries and amputations were also recorded.

RESULTS

A total of 167 patients underwent LLA. Thereof, 134 (77 ± 11 years, 93 men and 41 woman) due to DM and/or PAD. The LLA-rate due to those diseases increased from 4.1/100,000 inhabitants in 2010-2013 to 6.7/100,000 in 2016-2019 (p=0,04). Risk factors were mainly hypertension, 84%, and smoking, 69%. Chronic limb-threatening ischemia induced 71% of first hospital visits. Revascularisations were performed (66% endovascular) in 101 patients. Non-diabetic patients were 52% and had statins less frequently prescribed than DM patients (26:45, p<0.001).

CONCLUSION

DM and/or PAD are the leading causes of LLA in Iceland. Amputation rate increased during the period but is low in an international context. Amputation is most often preceded by arterial surgery. DM is present in almost half of cases, similar or less than in most other countries. Opportunities for improved prevention should aim on earlier diagnosis and preventive treatment of non-diabetic individuals with PAD.

Time-weighted blood pressure with cardiovascular risk among patients with or without diabetes

BACKGROUND

Usual measures of blood pressure (BP) do not account for both the magnitude and duration of exposure to elevated BP over time. We aimed to demonstrate the effect of a novel time-weighted BP on cardiovascular outcomes using a post hoc analysis of two published randomized trials.

HYPOTHESIS

Time-weighted blood pressure is associated with cardiovascular risk among patients with or without diabetes.

METHODS

The limited-access ACCORD and SPRINT data sets were used for the current study. Time-weighted BP is obtained by dividing cumulative BP by the total follow-up time. Time-weighted BP burden above a threshold is also determined after deriving the time-weighted BP by re-zeroing the interpolated pressure values at two different hypertension thresholds (>140/90 and >130/80 mmHg).

RESULTS

Eighteen thousand five hundred forty-one patients from the two clinical trials were enrolled in this study. A J-curve relation was observed between time-weighted BP and major cardiovascular events (MACE). The systolic blood pressure (SBP) burden independently predicted MACE across the two trials at different thresholds (ACCORD: SBP > 130 mmHg, HR = 1.05 [1.03-1.06]; SBP > 140 mmHg, HR = 1.06 [1.04-1.08]; SPRINT: SBP > 130 mmHg, HR = 1.04 [1.03-1.05]; SBP > 140 mmHg, HR = 1.05 [1.04-1.07]). Consistent results were found for diastolic blood pressure (DBP) burden (ACCORD: DBP > 80 mmHg, HR = 1.10 [1.06-1.15]; DBP > 90 mmHg, HR = 1.20 [1.11-1.30].

SPRINT

DBP > 80 mmHg, HR = 1.06 [1.02-1.09]; DBP > 90 mmHg, HR = 1.12 [1.06-1.18]). Significant associations were also observed for stroke, myocardial infarction, cardiovascular death, and all-cause mortality.

CONCLUSION

Both time-weighted SBP and DBP independently influenced the risk of adverse cardiovascular events among patients with and without diabetes, regardless of the definition of hypertension (130/80 or <140/90 mmHg).

The association between higher cardiac troponin levels and the development of left ventricular diastolic dysfunction in septic patients with diabetes mellitus

This study was designed to retrospectively analyze the relationship between the levels of cardiac troponin T (cTnT) and cardiac troponin I (cTnI) and the development of left ventricular diastolic dysfunction (LVDD) in septic patients with diabetes mellitus. Furthermore, the predictive value of cTnT and cTnI in the LVDD development in those patients was investigated. The clinical information of 159 septic patients with diabetes mellitus treated in the intensive care unit of Affiliated Hospital of Chengde Medical University from June 2016 to January 2023 were retrospectively analyzed. These patients were separated into LVDD group (LVFP > 15 mmHg) and non-LVDD group (LVFP ≤ 15 mmHg) based on left ventricular filling pressure (LVFP). The differences in clinical data, echocardiographic parameters, as well as cTnT and cTnI levels between the LVDD and non-LVDD groups were compared. The relationship between the cTnT and cTnI levels and the echocardiographic parameters was studied using Pearson correlation analysis. Logistic regression analysis was conducted to explore the factors that influenced the LVDD development in septic patients with diabetes. Receiver operator characteristic (ROC) curves were created to evaluate the predictive value of cTnT and cTnI levels for the LVDD development in septic patients with diabetes. Totally 159 septic patients with diabetes were included in this study, with 97 patients in the LVDD group and 62 in the non-LVDD group. Compared with the non-LVDD group, patients in the LVDD group had much lower left ventricular (LV) early diastolic peak inflow velocity (E), LV advanced diastolic peak inflow velocity (A), E/A, and early diastolic mitral annular velocity (Em) while significantly higher E/Em. The LVDD group showed much higher levels of cTnI and cTnT than the non-LVDD group (P < 0.05). Significant positive correlation between log10cTnI level and E/Em ratio (r = 0.425, P < 0.001) was revealed by the Pearson correlation analysis. Multivariate analysis showed that E/A, E/Em, cTnI and cTnT were independent risk factors for the LVDD development in septic patients with diabetes (P < 0.05). As for ROC curve results, the area under the curve (AUC) of cTnT to predict the development of LVDD in septic patients with diabetes was 0.849 (95% CI 0.788-0.910, P < 0.001); the AUC of cTnI was 0.742 (95% CI 0.666-0.817, P < 0.001). Both cTnT and cTnI are independent risk factors and have predictive value for the LVDD development in septic patients with diabetes mellitus.

Diabetes and TB: Confluence of Two Epidemic and Its Effect on Clinical Presentation

BACKGROUND

Tuberculosis (TB) has become a rising concern in low-income countries, particularly in those with Human Immuno Deficiency Virus (HIV) epidemics, and type 2 diabetes has emerged as a significant global chronic health problem, owing to increases in obesity, lifestyle changes, and ageing populations. Diabetes has been identified as a major risk factor for the development of TB. Despite the fact that diabetes imparts a substantially lower risk of TB (3-fold) as compared to HIV (>20-fold), in communities where the number of DM patients is high, the contribution of diabetes to TB might be bigger than HIV.

METHODS

This review will focus on the link between TB and diabetes, which is now one of the most important topics for physicians since diabetes impacts the clinical presentation and outcome of TB and vice versa.

RESULTS

Though TB is more common in type 1 diabetes, the extent of the problem in type 2 diabetes should be taken into account with equal care, as type 2 diabetes affects a substantially higher number of individuals.

CONCLUSIONS

Diabetes patients are more vulnerable to infections because of their impaired immune systems. Increased glucose level leads to a rise in the infection status among TB patients and also leads to a rise in various complications. Extensive and increased screening for both TB and DM over years can help diagnose disease priorly and help in better management. TB, when diagnosed in its early stages, can be easily eradicated.

Duration of Dual Antiplatelet Treatment After Percutaneous Coronary Intervention in Patients With Diabetes: A Systematic Review and Meta-analysis

ABSTRACT

Aim of our systematic review and meta-analysis is to compare shortened (≤3 months) dual antiplatelet therapy (DAPT) with longer DAPT in diabetic patients undergoing percutaneous coronary interventions.We systematically screened 3 major databases (MEDLINE, Cochrane Central Register of Controlled Trials, and Scopus) searching for randomized-controlled trials or subanalyses of them, which compared shortened DAPT (S-DAPT) with longer DAPT regimens of DAPT. Primary end point of systematic review and meta-analysis is the net adverse clinical events (NACE), and secondary are major adverse cardiac events (MACE), mortality, bleedings, myocardial infarction, and stent thrombosis. Subgroup analyses included studies using only ticagrelor-based regimens and 3-month duration of DAPT.A total of 8 studies and 12,665 patients were included in our analysis. Our meta-analysis met its primary end point because S-DAPT was associated significantly with a reduced risk ratio (RR) by 17% [RR: 0.83, 95% confidence intervals (CI), 0.72-0.96]. Nonsignificant difference among the rest end points was detected between the 2 groups. Subgroup analyses showed that ticagrelor-based regimens were associated with a significant reduction of mortality (RR: 0.67, 95% CI, 0.48-0.93) and 3-month DAPT reduced furtherly NACE by 27% (RR: 0.73, 95% CI, 0.60-0.89).In conclusion, our systematic review and meta-analysis showed that (i) S-DAPT was significantly associated with a lower incidence of NACE, (ii) ticagrelor-based S-DAPT was associated with decreased mortality rates, and (iii) the benefit of 3-month duration of DAPT achieved an even greater NACE reduction. Thus, S-DAPT could be considered as a safe and feasible option in diabetic patients.

Woodhouse-Sakati syndrome in an Indian patient with a novel pathogenic variant

Woodhouse-Sakati syndrome consists of hypogonadism, diabetes mellitus, alopecia, ECG abnormalities, and dystonia. This condition is caused by the loss of function of the DCAF17 gene. Most of the patients have been reported from Greater Middle Eastern countries. We report a 38 male from southern India who presented with syncope and massive hemoptysis due to ruptured bronchopulmonary collaterals. He also had alopecia, cataracts, recently diagnosed diabetes and hypogonadism. Whole exome sequencing showed a novel homozygous truncating variant in the DCAF17 gene. Despite embolization of the aortopulmonary collaterals, the patient died of recurrent hemoptysis.

Breath-based biosensors and system development for noninvasive detection of diabetes: A review

BACKGROUND AND AIMS

In recent years, noninvasive techniques are becoming conspicuous for diabetes detection. Sweat, tear, saliva, urine and breath-based methods showing prominent results in breath acetone detection which is considered as a biomarker of diabetes. A concrete relationship between breath acetone and BG helps in the development of devices for diabetes detection.

METHODS

The primary source for this study includes scholarly publications that primarily focus on the development of biosensors and systems for diabetes detection using acetone present in breath. Articles were analysed to examine various types of biosensors with their sensing materials to provide acetone detection limits. Recent noninvasive systems and products have been investigated and determine the relationship between breath acetone and BG levels.

RESULTS

Breath-based biosensor technologies are capable for diabetes detection. The acetone biosensor detection ranges from 100 ppb to 100 ppm, and it can applicable from room temperature to 400 °C. In healthy volunteers, acetone level ranges from 0.32 to 2.19 ppm, while patients with diabetes exhibit a wider range of 0.22-21 ppm depending on the biosensor, detection method, and clinical circumstances of patients and lab conditions.

CONCLUSION

This manuscript presents an extensive analysis of breath-based biosensors and their potential for detection of diabetes. Acetone detection methods are promising but unable to provide concrete correlation between breath acetone and blood glucose levels. The present study motivates the continued research and development of biosensors, and electronic devices to provide linear relationship of breath acetone and BG for noninvasive diabetes detection applications.

2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Managing Diabetes Mellitus in the Emergency Department

Diabetes mellitus (DM) is a chronic medical condition that continues to increase in prevalence. Complications of DM, including diabetic ketoacidosis and hyperglycemic hyperosmolar state, often present in the emergency department requiring emergent management. Prompt assessment, diagnosis, evaluation of laboratory values, treatment, monitoring, and strict follow-up education are essential to the successful management of this complex disease. Common medications and management strategies are key elements to control DM. This article presents an overview of DM, including its prevalence, pathophysiology, presentations, and management.

Patients with diabetes in regions with population decline and likelihood of receiving diabetes management education and screenings for related complications in Korea

OBJECTIVE

Many municipal districts in Korea face population decline owing to overall population decreases and aging. We investigated the association between geographic rurality and likelihood of receiving diabetes management education and diabetic retinopathy and diabetes-related kidney disease screenings among adults with diabetes.

METHODS

Patient data were obtained from the 2021 Korea Community Health Survey (27,391 individuals; aged ≥19 years and physician-diagnosed with diabetes mellitus). Geographic rurality was categorized based on population decline as follows: with, at risk of, or without population decline. The association between geographic rurality and likelihood of receiving diabetes management education and diabetic retinopathy and diabetes-related kidney disease screenings was examined using multilevel logistic regression analyses.

RESULTS

Among 27,391 patients with diabetes, 31.1% received diabetes education; 40.0% and 46.4% were screened for diabetic retinopathy and diabetes-related kidney disease, respectively. Individuals residing in regions with population decline were less likely to receive diabetes education (odds ratio [OR] 0.62, 95% CI 0.50-0.75) and diabetic retinopathy (OR 0.79, 95% CI 0.70-0.90) and diabetes-related kidney disease (OR 0.64, 95% CI 0.55-0.75) screenings, as compared with their counterparts.

CONCLUSIONS

Our findings highlight the importance of increased monitoring and providing diabetes education and screenings for patients with diabetes living in rural areas.

Construction of Biosensing System for Glycated Albumin Using an Electron Transfer Peptide-Modified Protein Probe

Glycated albumin (GA) is one of the proteins that replaces several sugar moieties and can be used as an indicator of diabetes mellitus. We developed a sensing system that uses GA in the early detection of diabetes mellitus. In this study, H6Y4C acetylated (Ac-) at the N-terminals of the peptide was combined with wheat germ agglutinin (WGA) to recognize glucose moieties. The Ac-H6Y4C-WGA was constructed as a GA-sensing probe. The tyrosine residues of Y4C exhibited an oxidation peak, and His-tag moieties were introduced to separate Ac-H6Y4C-WGA in the synthesis of the probe. The Ac-H6Y4C-WGA probe binds with the 1-2 molecules of Ac-H6Y4C per WGA using matrix assisted laser desorption/ionization-time of flight (MALDI-TOF)-MS. Next, the functions of Ac-H6Y4C-WGA were evaluated using voltammetry. The number of electron-transfers was calculated based on the relationship between the peak potential and logarithm of scan rate and was 3.03. In the electrochemical measurements with mannose and bovine serum albumin, the peak currents were similar to that of GA alone. By contrast, a decrease in the peak current was suppressed when glucose was added to the solution containing the probe. As a result, Ac-H6Y4C-WGA was selectively bound to the glucose moieties of GA. The calibration curve via differential pulse voltammetry was proportional to the concentrations of GA and ranged from 1.0 × 10-12 to 2.0 × 10-11 M with a detection limit of 3.3 × 10-13 M.

Trends and risk factors of diabetes and prediabetes in US adolescents, 1999-2020

AIMS

To assess the national trends in prevalence of diabetes and prediabetes and their major risk factors among adolescents in the US.

METHODS

We analyzed data on 6,936 adolescents aged 12 to 19 years from the National Health and Nutrition Examination Surveys (NHANES) between 1999 and 2020. Diabetes was defined by self-reported physician-diagnosis (diagnosed) and by fasting plasma glucose and HbA1c levels (undiagnosed). Prediabetes was identified by fasting plasma glucose and HbA1c levels. Logistic regression was performed to estimate the associations of major risk factors with diabetes and prediabetes.

RESULTS

The prevalence of prediabetes in adolescents increased from 11.5% in 1999-2002 to 36.3% in 2015-2020. The prevalence of diabetes increased from 0.82% (0.62% of diagnosed and 0.20% of undiagnosed) in 1999-2002 to 1.14% (0.76% of diagnosed and 0.38% of undiagnosed) in 2015-2020, but the increase was not statistically significant (P value = 0.69). Obesity was significantly associated with higher odds of diabetes and prediabetes while boys and Mexican Americans had a significantly higher risk of prediabetes than their counterparts.

CONCLUSIONS

The prevalence of prediabetes among adolescents in the US has more than tripled from 1999 to 2020. Obese adolescents are at the greatest risk for diabetes and prediabetes.