Cohort Of Diabetic Patients Research Articles

8455 Denosumab Is Associated With Decreased Mortality Compared To Zoledronic Acid In Diabetic Osteoporotic Patients: A Population-Based Cohort Study

Abstract Disclosure: V. Rouach: Consulting Fee; Self; Amgen Inc. H. Gortler: None. Y. Greenman: None. C. Gabriel: None. G. inbalL: None. Background: Anti-resorptive therapies are the mainstay of osteoporosis management, but evidence of their efficacy in the diabetic population is limited and comparison between treatments is lacking. A retrospective analysis, presented at the American Society for Bone and Mineral Research (ASBMR) 2023 Annual Meeting, suggests that denosumab leads to greater reduction in fracture risk than zoledronic acid among treatment-naive postmenopausal women with osteoporosis. However, a comparative study recently published suggests higher mortality with denosumab versus oral bisphosphonates. Aim: To assess the association between zoledronic acid or denosumab and the risk of major osteoporotic fracture and mortality in osteoporotic patients with diabetes type 2. Methods: The study population was identified by electronic records of a diabetes registry cross-linked with an osteoporosis registry of a large provider healthcare organization in Israel. Index date was at osteoporosis registry entry. Demographics, Comorbidity Index (CCI), diabetes complications, bone mineral density (BMD) T-scores, hemoglobin A1c levels, eGFR, purchase of statins, and anti-resorptive agents were collected. Propensity score matching was performed. Kaplan-Meier curves were generated to assess the time to outcomes. Multivariable Cox's proportional hazards survival model was performed. Results: A total of 27503 diabetic osteoporotic patients were identified, 13343 (48%) patients initiated treatment; 12214 (91.5%) started an oral bisphosphonate, 627 (4.7%) zoledronic acid and 502 (3.7%) denosumab. The median follow-up was 8.9 years. The denosumab treated patients were older (75.7 vs 71.9, p<0.01), had longer diabetes duration (8.4 vs 7.2, p<0.01), were more frequently treated with insulin (29.7 vs 23.9, p=0.02) and had a lower eGFR (59.4 vs 75.3, p<0.01). Male/Female ratio, BMI, CCI, smoking status, alcohol consumption, Hip BMD, HbA1c levels, microvascular complications, hypoglycemic events and statins prescriptions were similar. After propensity weighting, we observed a significant reduced risk of death among the denosumab treated patients (RR=0.72 [0.58-0.91]) without a significant difference in the risk of fracture (RR=0.9 [0.82-1.12]). Conclusions: In this cohort of diabetic osteoporotic patients, denosumab was associated with a significantly reduced mortality compared to zoledronic acid, without a significant difference in the risk of fractures. The effect of denosumab on mortality is yet to be explored. Presentation: 6/1/2024

9236 Denosumab Is Associated With Decreased Mortality Compared To Zoledronic Acid In Diabetic Osteoporotic Patients: A Population-Based Cohort Study

Abstract Disclosure: V. Rouach: Consulting Fee; Self; Amgen Inc. H. Gortler: None. Y. Greenman: None. C. Gabriel: None. G. inbalL: None. Background: Anti-resorptive therapies are the mainstay of osteoporosis management, but evidence of their efficacy in the diabetic population is limited and comparison between treatments is lacking. A retrospective analysis, presented at the American Society for Bone and Mineral Research (ASBMR) 2023 Annual Meeting, suggests that denosumab leads to greater reduction in fracture risk than zoledronic acid among treatment-naive postmenopausal women with osteoporosis. However, a comparative study recently published suggests higher mortality with denosumab versus oral bisphosphonates. Aim: To assess the association between zoledronic acid or denosumab and the risk of major osteoporotic fracture and mortality in osteoporotic patients with diabetes type 2. Methods: The study population was identified by electronic records of a diabetes registry cross-linked with an osteoporosis registry of a large provider healthcare organization in Israel. Index date was at osteoporosis registry entry. Demographics, Comorbidity Index (CCI), diabetes complications, bone mineral density (BMD) T-scores, hemoglobin A1c levels, eGFR, purchase of statins, and anti-resorptive agents were collected. Propensity score matching was performed. Kaplan-Meier curves were generated to assess the time to outcomes. Multivariable Cox's proportional hazards survival model was performed. Results: A total of 27503 diabetic osteoporotic patients were identified, 13343 (48%) patients initiated treatment; 12214 (91.5%) started an oral bisphosphonate, 627 (4.7%) zoledronic acid and 502 (3.7%) denosumab. The median follow-up was 8.9 years. The denosumab treated patients were older (75.7 vs 71.9, p<0.01), had longer diabetes duration (8.4 vs 7.2, p<0.01), were more frequently treated with insulin (29.7 vs 23.9, p=0.02) and had a lower eGFR (59.4 vs 75.3, p<0.01). Male/Female ratio, BMI, CCI, smoking status, alcohol consumption, Hip BMD, HbA1c levels, microvascular complications, hypoglycemic events and statins prescriptions were similar. After propensity weighting, we observed a significant reduced risk of death among the denosumab treated patients (RR=0.72 [0.58-0.91]) without a significant difference in the risk of fracture (RR=0.9 [0.82-1.12]). Conclusions: In this cohort of diabetic osteoporotic patients, denosumab was associated with a significantly reduced mortality compared to zoledronic acid, without a significant difference in the risk of fractures. The effect of denosumab on mortality is yet to be explored. Presentation: 6/1/2024

Validation of GenProb-T1D and its clinical utility for differentiating types of diabetes in a biobank from a US healthcare system.

Atypical diabetes with overlapping clinical features of type 1 (T1D) and type 2 (T2D) is common and challenging diagnostically and for implementing effective treatment. Here, we validate a recently reported genetic probability of type 1 diabetes (GenProb-T1D) from the UK Biobank (UKB) for differentiating type 1 diabetes and type 2 diabetes in a diabetes patient cohort from a healthcare system-based biobank in the USA. Among 3,363 diabetes patients, we confirmed the performance of GenProb-T1D in differentiating typical type 1 diabetes vs type 2 diabetes. Furthermore, for 359 atypical diabetes patients, those with GenProb-T1D higher than the pre-defined cutoff derived from the UKB had clinical presentations more consistent with that of typical type 1 diabetes. Similar findings were found in participants of European and non-European ancestries. This study provides necessary validation to translate GenProb-T1D into genetic testing in a multi-ancestry cohort. Measuring underlying genetic susceptibility of type 1 diabetes and type 2 diabetes can supplement current clinical tools for earlier and more accurate diagnoses of diabetes.

Screening for undiagnosed pancreatic exocrine insufficiency (PEI) in a cohort of diabetic patients using faecal elastase testing and PEI scoring system.

Type 1 and type 2 diabetes mellitus (DM) are often accompanied by mild forms of pancreatic exocrine insufficiency (PEI). The prevalence rates of PEI in diabetic patients are unclear and variable depending on the testing modality and the studies published. The clinical consequences of PEI in diabetics are also not well defined. We aimed to determine the prevalence of PEI in a diabetic cohort using the faecal elastase-1 (FE-1) assay as a screening test and to validate a patient-reported symptom-based scoring system, the (PEI-S) for diagnosing PEI within this patient population. Two hundred and three diabetic patients attending diabetic and gastroenterology outpatients of a university hospital without previously known PEI were recruited for the study. Demographic parameters, PEI score (PEI-S), and glycated hemoglobin (HBA1c) were documented in standardized data sheets, and a stool sample was obtained. A FE-1 value < 200μg/g and or a PEIS of > 0.6 was used as the screening cut-off for PEI. One hundred sixty-six patients returned faecal samples. The prevalence of PEI, as measured by low FE-1, was 12%. Smoking was associated with an increased risk of developing PEI in this diabetic population. No other independent risk factors were identified. The PEI-S system did not differentiate between people with diabetes having a normal and low FE1. 12% of this mixed, real-life cohort of type 1 and 2 DM patients had undiagnosed PEI, as defined by an FE-1 score of less than 200μg/g. While this may appear low, given the rising prevalence of type 2 DM worldwide, there is likely an unrecognized burden of PEI, which has long-term health consequences for those affected. The PEI-S, a symptom-scoring system for patients with PEI, did not perform well in this patient group.

#2265 The challenge of renal biopsy in diabetic patients: evaluation of a single center large cohort from North-West Italy

Abstract Background and Aims Diabetic kidney disease is one of the most severe long-term complications of diabetes. Currently, the international guidelines suggest diagnosis of diabetic nephropathy to be achieved on a clinical ground only. However, in the heterogeneous cluster of different conditions putatively co-existing with diabetes, renal biopsy is a unique tool for an accurate diagnosis and a guide for patient management. The aim of the study was to retrospectively analyze monocentric case history of kidney biopsies performed in diabetic patients over a period of 10 years. Patient's data were collected both at the time of histological examination and during follow-up. Method Data of renal biopsies (RB) performed in patients with diabetes mellitus from 1st January 2014 to 31th July 2023, were collected. Patient identification was performed by reviewing clinical histories and histopathological charts. Data on the indication for RB were collected from the medical report of the hospitalisation when the procedure was performed or from the visit when the indication was given. Atypical features were categorized according to an adaptation of the 2007 KDOQI guidelines for diabetes and chronic kidney disease. The significance of baseline differences was determined by the chi-squared test, Fisher's exact test or the unpaired t-test, as appropriate. Significance of univariate analysis were confirmed through the use of multivariate analysis. Correlation analysis, linear regression and Cox regression were also performed. A two-sided P-value &amp;lt;0.05 was statistically significant. All statistical analyses were performed using SPSS version 26.0 (IBM, Armonk, NY, USA). Results Among 1990 patients (pts) who underwent kidney biopsy during the study period, 297 had type 1 or type 2 DM (14.9%) and were therefore included in the study, regardless of diagnostic suspicion and histological findings. Histological examination revealed diabetic nephropathy (DN) in 112 cases (group 1), DN associated with another kidney disease in 56 cases (group 2) and nondiabetic renal diseases alone in the remaining 129 cases (62%) (group 3). In group 2 the kidney disease most frequently associated with DN was focal and segmental glomerulosclerosis, FSGS (24/56 pts) followed by IgA nephropathy, IgAN (14/56 pts). In this population the histological examination led to specific therapeutic indications in 22 patients. In group 3 the most frequently observed kidney disease was FSGS (37/112 pts) followed by ANCA-vasculitis (14/112 pts), membranous nephropathy (14/112 pts) and IgAN (10/112). In this population, histological examination led to a specific therapeutic indication in 67 pts. To determine predictors for histopathological diagnosis of DKD, we ran a logistic regression model. The covariates used in this model were the duration of diabetes, presence of retinopathy, hypertension, serum creatinine values, eGFR values and 24-hours proteinuria. None of them was found to be statistically significant. It should also be noted that 47 out of 112 pts (42%) with diabetic nephropathy had no retinopathy. In contrast, 9 pts (7%) with histological evidence of NDRD had diabetic retinopathy. 215 out of 297 pts had a follow-up of at least 6 months. During a mean follow up of 41.6±31.8 months, 53 pts (24 in group 1, 15 in group 2 and 14 in group 3) reached end stage kidney disease (16.5 months). In our population the presence of DN associated with another biopsy-proven nephropathy was especially prevalent. Having double nephropathy conferred a relative risk-RR for dialysis of 1.8089 (95% CI 1.0094 to 3.2415, P = .0464). Conclusion To our knowledge this is the largest cohorts of diabetic patients receiving renal biopsy even reported in a Western country. Our data proved kidney biopsy not to be an academic exercise in diabetic pts. Clinical and laboratory features do not predict histologic findings. Renal biopsy allowed the identification of unsuspecting nondiabetic kidney injuries and double nephropathies, which could be susceptible to different outcomes, and paved the pathway for treatment of potentially manageable histological changes.

Comparison of Glycated Hemoglobin (Hba1c%) between High Performance Liquid Chromatography (HPLC) and Non-HPLC Methodology

Background: Glycated hemoglobin (HbA1c) serves as a pivotal marker for the long-term management of glucose levels in patients with diabetes. Accurate measurement of HbA1c is crucial for effective diabetes management and prevention of associated complications. While High-Performance Liquid Chromatography (HPLC) is widely used, non-HPLC methods have also gained popularity due to their simplicity and cost-effectiveness. Discrepancies in measurement between these methods have been a concern, impacting clinical decisions. Objective: The objective of this study was to compare the measurement of HbA1c% using HPLC and non-HPLC methods in a cohort of diabetic patients, evaluating the consistency and reliability of these methodologies. Methods: A cross-sectional study was conducted at Hayatabad Medical Complex, MTI, Peshawar from November 2023 to March 2024. A total of 65 diabetic patients aged between 18 and 70 years were enrolled. Participants were excluded if they had conditions known to affect HbA1c measurement. HbA1c levels were measured using both HPLC and non-HPLC methods. Statistical analysis was performed using SPSS version 25, employing t-tests to compare the mean HbA1c levels and Bland-Altman analysis to assess agreement between the two methods. Results: The HPLC method showed a mean HbA1c% of 8.2 (SD = 1.4) while the non-HPLC method showed a mean HbA1c% of 7.6 (SD = 1.3). The Bland-Altman analysis indicated that 91.5% of the values fell within the limits of agreement, suggesting substantial agreement between the methods. The mean difference in HbA1c% between methods was 0.6%, with limits of agreement from -0.3 to 1.5. Conclusion: Both HPLC and non-HPLC methods provided reliable HbA1c measurements, with a high degree of agreement. Despite minor discrepancies in mean values, both methodologies are suitable for the clinical monitoring of glycemic control in diabetic patients. Further studies with larger sample sizes and multiple centers are recommended to validate these findings.

Early Treatment of Acute Stage 0/1 Diabetic Charcot Foot Can Avoid Major Amputations at One Year.

Background: If unrecognized, Charcot neuro-osteoarthropathy (CNO) can be a devastating complication of diabetes. Methods: The aim of this retrospective study was to evaluate the outcomes in a cohort of diabetic patients diagnosed with active CNO managed in a tertiary level diabetic foot clinic (DFC). We included consecutive patients with active CNO, stage 0-1, according to the Eichenholtz-Shibata classification, who were referred from 1 January 2019 to 27 September 2022. Diagnosis of CNO was based on clinical signs and imaging (X-rays and magnetic resonance). All patients were completely offloaded by a total-contact cast (TCC) or removable knee-high device. Each patient was closely monitored monthly until CNO remission or another outcome. At 12 months of follow-up, the following outcomes were analyzed: remission, time to remission, major amputations (any above the ankle), and surgical indication. Results: Forty-three patients were included. The mean age was 57.6 ± 10.8 years; 65% were males and 88.4% had type 2 diabetes, with a mean duration of 20.6 ± 9.9 years. At baseline, 32.6% was affected by peripheral artery disease. Complete remission was recorded in 40/43 patients (93%), with a mean time to remission of 5.6 ± 1.5 months; major amputation and surgical indication occurred, respectively in 1/43 patients (2.3%) and 3/43 patients (7%). Conclusions: Early treatment of active Stage 0/1 CNO leads to high rates of remission and limb salvage.

Hospitalisation for herpes zoster in people with and without diabetes: A 10-year-observational study

AimsThis study explores the association between Herpes Zoster (HZ) hospitalizations and diabetes in Piedmont, Italy from 2010 to 2019. Focusing on the burden of HZ hospitalizations in diabetic and non-diabetic groups, it aims to identify risk factors in diabetics to enhance prevention strategies. MethodsIn a two-phase study, we first compared age-standardized HZ hospitalization rates between diabetic and non-diabetic individuals from 2010 to 2019. We then examined hospitalization risk factors for HZ within a diabetic patient cohort managed by regional diabetes clinics. ResultsOf 3,423 HZ hospitalizations in 2010–2019, 17.9 % (613 cases) were diabetic patients, who exhibited higher hospitalization rates (15.9 to 6.0 per 100,000) compared to non-diabetese individuals. Among diabetics subjects risk factors for HZ hospitalization included age over 65, obesity (BMI > 30), and poor glycemic control (HbA1c > 8.0 %). These patients had a 40 % increased rehospitalization risk and a 25 % higher risk of severe complications, such as stroke and myocardial infarction, post-HZ. ConclusionsDiabetes markedly increases HZ hospitalization rates, rehospitalization, and complication risks. These findings underscore the need for preventive strategies, especially improved glycemic control among high-risk diabetic patients, to inform public health policies and clinical practices aimed at mitigating HZ's impact on this population.

A 10-year retrospective cohort of diabetic patients in a large medical institution: Utilizing multiple machine learning models for diabetic kidney disease prediction.

As the prevalence of diabetes steadily increases, the burden of diabetic kidney disease (DKD) is also intensifying. In response, we have utilized a 10-year diabetes cohort from our medical center to train machine learning-based models for predicting DKD and interpreting relevant factors. Employing a large dataset from 73,101 hospitalized type 2 diabetes patients at The First Affiliated Hospital of Zhengzhou University, we analyzed demographic and medication data. Machine learning models, including XGBoost, CatBoost, LightGBM, Random Forest, AdaBoost, GBDT (gradient boosting decision tree), and SGD (stochastic gradient descent), were trained on these data, focusing on interpretability by SHAP. SHAP explains the output of the models by assigning an importance value to each feature for a particular prediction, enabling a clear understanding of how individual features influence the prediction outcomes. The XGBoost model achieved an area under the curve (AUC) of 0.95 and an area under the precision-recall curve (AUPR) of 0.76, while CatBoost recorded an AUC of 0.97 and an AUPR of 0.84. These results underscore the effectiveness of these models in predicting DKD in patients with type 2 diabetes. This study provides a comprehensive approach for predicting DKD in patients with type 2 diabetes, employing machine learning techniques. The findings are crucial for the early detection and intervention of DKD, offering a roadmap for future research and healthcare strategies in diabetes management. Additionally, the presence of non-diabetic kidney diseases and diabetes with complications was identified as significant factors in the development of DKD.

Effect of semaglutide on global longitudinal strain and global myocardial work efficiency in patients with uncontrolled type 2 diabetes mellitus and obesity

Abstract Background Type 2 Diabetes mellitus (T2DM) increases of two-to three-fold the risk of cardiovascular disease (CVD). Cardiovascular outcome trials (CVOTs) demonstrated that glucagon-like peptide 1-receptor agonists (GLP1-RAs), as semaglutide in SUSTAIN-6 study, have effectively reduced CV risk in T2DM patients, so their use is recommended by guidelines. Purpose The objective of our work was to evaluate the effect of Semaglutide administration in a cohort of uncontrolled diabetic patients (within 5 years from diagnosis) on oxidative stress validated markers (8-isoprostane and NOX-2), platelet activation indicators (Sp-Selectin) and subclinical myocardial damage evaluated by measurement of deformation and efficiency parameters, obtained by speckle tracking echocardiography (STE). Methods We enrolled 70 Caucasian patients (mean age 65.5±8.2) with T2DM and obesity, 54 men and 16 women, 85.7% with hypertension, 14.2% with chronic obstructive pulmonary disease, 57.1% with sleep apnea syndrome, 18.5% with chronic kidney disease, and 41.4% with dyslipidemia. All patients were treated with statins and metformin, 42.8% with insulin, 24.2% with diuretics, 37.1% with ACE inhibitors, and 48.5% with angiotensin receptor antagonists. In the study the mean dose of semaglutide was 0.59±0.29 mg/week, no serious adverse events were reported. Results After 6 months of follow-up a significant improvement in fasting plasma glucose, insulinemia, HOMA, IGF-1, HbA1c and BMI (p&amp;lt;0.0001) was reported. In addition, there was a significant reduction in biomarkers of oxidative stress such as 8-isoprostane, Nox-2 and uric acid (p&amp;lt;0.0001), biomarkers of platelet activity such as Sp-Selectin and high-sensitivity C-reactive protein (hs-CRP) (p&amp;lt;0.0001). Moreover, we observed a significant improvement in left ventricular myocardial deformation parameters such as Global longitudinal strain (GLS) (p&amp;lt;0.0001) and global myocardial work efficiency (GWE) (p&amp;lt;0.0001). The linear correlation analysis showed that variation (Δ) GLS was inversely correlated with ΔHOMA (p=0.011), Δuric acid (p=0.025) and ΔSp-selectin (p&amp;lt;0.0001); ΔGWE was inversely correlated with ΔHOMA (p=0.011), Δuric acid (p=0.025) and ΔSp-selectin (p&amp;lt;0.0001). From stepwise multivariate linear regression model, ΔSp-selectin, ΔHOMA and Δuric acid justifying 27.8%(p&amp;lt;0.0001), 5.6%(p=0.010) and 4.4%(p=0.023) of ΔGLS variation, respectively. Instead ΔNOX-2, Δhs-CRP and ΔBMI justifying 22.3%(p&amp;lt;0.0001), 15.6%(p&amp;lt;0.0001), and 4.0%(p=0.022) of ΔGWE variation, respectively. Conclusion Treatment for 6 months with Semaglutide, in patients with uncontrolled T2DM and obesity, improved GLS and GWE. It’s plausible that this improvement may be justified by the reduction of inflammatory, oxidative stress and platelet activation parameters together with favorable metabolic changes; thus promoting coronary microcirculation protection with positive effects on myocardial contractility.

Effect of Lipids on Diabetic Retinopathy in a Large Cohort of Diabetic Patients after 10 Years of Follow-Up.

(1) Background: Diabetic retinopathy (DR) remains the leading cause of low vision and blindness in young adults of working age. Although the most important risk factors-such as the duration of diabetes mellitus (DM) and glycemic control measured by HbA1c-are known, the effects of lipids are not as clear. The aim of the present study is to analyze the effects of lipids on the development of DR. (2) Methods: This is a retrospective study of a population of 175,645 DM2 patients, during the period 2010 to 2020, in which the effects of different lipid factors are studied. (3) Results: The variables that most influenced the development of DR in our study, based on significance and cumulative hazard (CH), were arterial hypertension (CH 1.217, p < 0.001), HbA1c levels (CH 1.162, p = 0.001), microalbuminuria (CH 1.012, p < 0.001), LDL-C cholesterol (CH 1.007, p = 0.012), TC/HDL-C index (CH 1.092, p < 0.001), No-HDL-C/HDL-C index (CH 1.065, p = 0.002), the use of statins (CH 1.001, p = 0.005), and body mass index (CH 1.007, p < 0.001). (4) Conclusions: LDL-cholesterol, TC/HDL-C, and No-HDL-C/HDL-C indices are related to the development of DR, and there is a protective effect of HDL-cholesterol and the use of fibrates.

Assessment of Obesity as a Marker for Patients with Type II Diabetes in the Ashanti Region, Ghana

Diabetes mellitus is a metabolic syndrome characterized by high blood glucose levels that is currently a worldwide health concern. The purpose of this study is to use anthropometric indicators to determine the prevalence of obesity and overweight among Type II Diabetic Patients. Over a 20-week period, this cross-sectional study was conducted on Type II Diabetic Patients who were identified through a simple randomized sampling from the Diabetics' Clinic. This study enlisted the participation of a hundred (100) Diabetic Patients. A standardized pre-tested questionnaire was used to collect demographic information from the participants. Anthropometry measurements such as height, weight, waist circumference, and hip circumference were all taken using standardized procedures, and the body mass index (BMI), waist to hip ratio (WHR), Body Adiposity Index (BAI), and waist to height ratio (WHtR) were calculated. In this study, 36% of patients were between the ages of 55 and 64, with 31% of the participants being female. Obesity was prevalent in 46% of the study population according to the BMI classification, 45% according to the WHR classification, 40% according to the WHtR classification, and 32% according to the BAI classification. Using BMI values, 82.6% of females were obese, compared to 17.4% of males, and 58.5% of females were overweight, compared to 41.4% of males. Stretching, swimming, and bicycling were all associated with obesity in Type II Diabetic Patients indicating X2(9) = 19.968, P &lt; 0.018, X2(9) = 15.674, P &lt; 0.016, X2(9) = 12.898, P &lt; 0.045, respectively. There was an establishment of an increased prevalence of obesity and overweight among the cohort of Diabetic patients recruited for this study with the females indicating a higher prevalence than their male counterparts.

Erythropoiesis-Stimulating Agents and the Risk of Vision-Threatening Diabetic Retinopathy

ABSTRACT Purpose Animal studies have suggested that Erythropoiesis-Stimulating Agents (ESAs) may increase vascular endothelial growth factor (VEGF)-related retinopathies, but this effect is unclear in humans. This study evaluates the risk of vision-threatening diabetic retinopathy (VTDR), defined as either diabetic macular edema (DME) or proliferative diabetic retinopathy (PDR), in patients exposed to an ESA. Methods Two analyses were performed. First, a retrospective matched-cohort study was designed using a de-identified commercial and Medicare Advantage medical claims database. The ESA cohort of non-proliferative diabetic retinopathy patients who were new users of an ESA from 2000 to 2022 was matched to controls up to a 3:1 ratio. Exclusion criteria included less than 2 years in the plan, history of VTDR or history of other retinopathy. Multivariable Cox proportional hazards regression with inverse proportional treatment weighting (IPTW) was used to assess the hazard of developing VTDR, DME, and PDR. The second analysis was a self-controlled case series (SCCS) evaluating the incidence rate ratios (IRR) of VTDR during 30-day periods before and after initiating an ESA. Results After inclusion of 1502 ESA-exposed patients compared with 2656 controls, IPTW-adjusted hazard ratios found the ESA cohort had an increased hazard of progressing to VTDR (HR = 3.0 95%CI:2.3–3.8;p < .001) and DME (HR = 3.4,95%CI:2.6–4.4,p < .001), but not PDR (HR = 1.0,95%CI:0.5–2.3,p = .95). Similar results were found within the SCCS which demonstrated higher IRRs for VTDR (IRRs = 1.09–1.18;p < .001) and DME (IRRs = 1.16–1.18;p < .001), but not increased IRRs in PDR (IRR = 0.92–0.97,p = .02–0.39). Conclusion ESAs are associated with higher risks for VTDR and DME, but not PDR. Those studying ESAs as adjunctive therapy for DR should be cautious of possible unintended effects.

ATG5 gene expression analysis supports the involvement of autophagy in microangiopathic complications of type 2 diabetes

Background and aimsType 2 diabetes (T2D) hyperglycaemia alters basal autophagy. Since autophagy is an essential cellular process, our aim was to investigate the ATG5 (autophagy-related 5) gene expression level and genetic variants in a cohort of diabetic patients, characterized for the presence of microangiopathic complications. Methods and Resultsthe expression levels of ATG5 were evaluated in PBMCs from 48 T2D patients with an extensive evaluation for microangiopathic complications. Our analyses revealed a significant lower expression of ATG5 in T2D patients with retinopathy compared to those without retinopathy. We also highlighted a significant lower expression of ATG5 in T2D patients with early-cardiovascular autonomic neuropathy compared to those without it, after correction for sex, age, body mass index and levels of hemoglobin A1c. Conclusionour results highlight that dysregulation in the autophagy process could be involved in the development of severe microangiopathic complications.

Statin versus ezetimibe-statin for incident atrial fibrillation among patients with type 2 diabetes mellitus with acute coronary syndrome and acute ischemic stroke.

The objective was to assess the role of the combination approach with ezetimibe 10 mg/simvastatin 20 mg versus atorvastatin 40 mg in predicting atrial fibrillation (AF) in type 2 diabetes mellitus patients with acute coronary syndrome and acute ischemic stroke. The authors formed a cohort of diabetic patients with extensive vascular diseases between 2000 and 2018 using data from the National Health Insurance Research Database in Taiwan. AF was the outcome of interest in this study. Cox proportional hazards regression analysis was performed to estimate the hazard ratios and 95% confidence intervals in the analysis. After controlling for sex, age, comorbidities and medications, the patients coexisting with type 2 diabetes mellitus, acute coronary syndrome and acute ischemic stroke with ezetimibe 10 mg/simvastatin 20 mg treatment were not significantly at risk of AF, compared to the patients with atorvastatin 40 mg treatment (adjusted hazard ratio, 0.85; 95% confidence interval, 0.52-1.38). A similar effect for AF risk between ezetimibe 10 mg/simvastatin 20 mg and atorvastatin 40 mg users was observed in the current investigation.

Reversible skin microvascular hyporeactivity in patients with immune-mediated thrombocytopenic thrombotic purpura

BackgroundImmune-mediated thrombotic thrombocytopenic purpura (iTTP) is a rare disease characterized by arteriolar and capillary microthrombosis precipitating organ failure. However, the contribution of endothelial dysfunction on impaired microvascular blood flow in iTTP patients has been poorly explored. This pilot observational study aimed to explore endothelial-mediated vasoreactivity in iTTP patients at admission and its changes after plasma exchange therapy (PE).MethodsWe conducted a prospective observational study in patients (> 18-year old) admitted in ICU for iTTP. Using laser Doppler flowmetry and acetylcholine (Ach) iontophoresis in the forearm, we recorded the skin microvascular blood flow and the endothelium-mediated vasoreactivity at admission and after PE. Demographics, biological, clinical courses, and outcomes were also collected. As a control group, we used a previously published cohort of young diabetic patients after correction of ketoacidosis.ResultsEighteen confirmed iTTP patients and 34 controls were included in the study, mainly female (72%) aged 43 ± 16-year-old. At admission, 55% had neurological abnormalities, 50% cardiac issues and 27.8% an acute kidney injury. Median platelet count was 19 G/mL [10–37]. Baseline microvascular blood flow was decreased in iTTP patients when compared to controls (5.97 ± 4.5 vs. 10.1 ± 6.3 PU, P = 0.03), associated with markedly impaired endothelial-mediated skin microvascular reactivity (AUC: 9627 ± 8122 vs. 16,475 ± 11,738, P = 0.03). Microvascular reactivity improved after the first PE session (AUC: 9627 ± 8122 vs 16,558 ± 10,699, P = 0.007, respectively, baseline and post-PE1) and much more after the second session (26,431 ± 23,181, P = 0.04 post-PE1 vs post-PE2). Hemolysis biomarkers (LDH and bilirubin) negatively correlated with skin microvascular flow and vasoreactivity.ConclusionWe highlighted a marked yet reversible skin endothelium-mediated microvascular hyporeactivity in iTTP patients that could participate in organ injury pathophysiology.

Evidence of greater severity of diabetic foot ulcers during COVID-19 pandemic: A real-life single-centre cohort study.

In the Sars-Cov-2 pandemic era, patients with diabetes mellitus (DM) manifested more severe forms of Sars-Cov-2 with greater mortality than non-diabetic patients. Several studies documented more aggressive forms of diabetic foot ulcers (DFU) during the pandemic period even though the results were not unanimously confirmed. The aim of this study was to evaluate the clinical-demographic differences between a cohort of Sicilian diabetic patients hospitalised for DFU in the pre-pandemic 3years and a cohort of patients hospitalised in the pandemic 2years. One hundred and eleven patients from the pre-pandemic period 2017-2019 (Group A) and 86 patients from the pandemic period 2020-2021 (Group B) with DFU, admitted to the division of Endocrinology and Metabolism of the University Hospital of Palermo, were retrospectively evaluated. The clinical assessment of the type, staging and grading of the lesion, and the infective complication from DFU was performed. No differences in HbA1c values were observed between the two groups. Group B showed a significantly higher prevalence of male subjects (p=0.010), neuro-ischaemic ulcers (p<0.001), deep ulcers with involvement of bones (p<0.001), white blood count levels (p<0.001), and reactive C protein (p=0.001) compared to group A. Our data show that in the COVID-19 pandemic, a greater severity of ulcers requiring a significantly greater number of revascularisations and more expensive therapy, but without an increase in the amputation rate, was observed. These data provide novel information on the impact of the pandemic on diabetic foot ulcer risk and progression.

Adherence to Diabetes Medications and Health Care Use During the COVID-19 Pandemic Among High-Risk Patients.

The COVID-19 pandemic caused potentially disruptive shocks to chronic condition care. We examined how diabetes medication adherence, related hospitalizations, and primary care use changed in high-risk veterans prepandemic and postpandemic. We conducted longitudinal analyses on a cohort of high-risk diabetes patients in the Veterans Affairs (VA) health care system. Primary care visits by modality, medication adherence, and VA acute hospitalizations and emergency department (ED) visits were measured. We also estimated differences for subgroups of patients by race/ethnicity, age, and rural/urban location. Patients were 95% male with mean age 68 years. Prepandemic patients received a mean per quarter of 1.5 in-person primary care visits and 1.3 virtual visits, 0.10 hospitalizations, and 0.22 ED visits, with mean adherence of 0.82. The early pandemic was associated with fewer in-person primary care visits, more virtual visits, fewer hospitalizations and ED visits per patient, and no change in adherence; there were no midpandemic versus prepandemic differences in hospitalizations or adherence. Black and nonelderly patients had lower adherence during the pandemic. Adherence to diabetes medications and primary care use remained high for most patients even though virtual care replaced in-person care. Black and nonelderly patients may require additional intervention to address lower adherence.

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patients’ predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm’s parameters and data-related modeling choices are also both crucial and challenging.In this paper we propose a novel framework to numerically evaluate strategies for handling missing data in the context of statistical analysis, with a particular focus on multiple imputation techniques. We demonstrate the feasibility of our approach on a large cohort of type-2 diabetes patients provided by the National COVID Cohort Collaborative (N3C) Enclave, where we explored the influence of various patient characteristics on outcomes related to COVID-19. Our analysis included classic multiple imputation techniques as well as simple complete-case Inverse Probability Weighted models. Extensive experiments show that our approach can effectively highlight the most promising and performant missing-data handling strategy for our case study. Moreover, our methodology allowed a better understanding of the behavior of the different models and of how it changed as we modified their parameters.Our method is general and can be applied to different research fields and on datasets containing heterogeneous types.

ATR‐FTIR Spectroscopy for Early Detection of Diabetic Kidney Disease

AbstractCurrent screening methods for diabetic kidney disease (DKD), characterized by albumin excretion in urine, are expensive or only identify patients in late disease stages. Hence, there is need for a cost‐effective, quick, and portable screening tool which identifies patients at DKD onset. Here we report that ultracentrifugation coupled with infrared spectroscopy and machine learning can identify and quantify low level microalbuminuria in urine samples from a cohort of diabetic patients (n=155) and controls (n=22). Independent testing of the methods indicated that classification analysis discriminated between normo‐ and micro/macroalbuminuric samples with sensitivity of &gt;91 % and specificity of &gt;99 %. Regression methods quantified albumin concentration in the samples with error values of 17 and 44 mg/L for normo‐ and microalbuminuric patients. Using only 700 μL of sample, this approach identifies patients at an earlier stage of disease than a urinary dipstick, whilst also yielding results cheaper and faster than the albumin to creatinine ratio.