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Diabetes mellitus (DM) is more common among people living with human immunodeficiency virus (PLWH) compared with healthy individuals. In a prospective multicenter study (N = 248), we identified normoglycemic (48.7%), prediabetic (44.4%), and diabetic (6.9%) PLWH. Glycosylated hemoglobin (HbA1c) and fasting blood glucose (FBG) sensitivity in defining dysglycemia was 96.8%, while addition of oral glucose tolerance test led to reclassification of only 4 patients. Inclusion of 93 additional PLWH with known DM enabled identification of multiple independent predictors of dysglycemia or diabetes: older age, higher body mass index, Ethiopian origin, HIV duration, lower integrase inhibitor exposure, and advanced disease at diagnosis. Shotgun metagenomic microbiome analysis revealed 4 species that were significantly expanded with hyperglycemia/hyperinsulinemia, and 2 species that were differentially more prevalent in prediabetic/diabetic PLWH. Collectively, we uncover multiple potential host and microbiome predictors of altered glycemic status in PLWH, while demonstrating that FBG and HbA1c likely suffice for diabetes screening. These potential diabetic predictors merit future prospective validation. [ABSTRACT FROM AUTHOR]

In the primary care setting providers have more tools available than ever before to impact positively obesity, diabetes, and their complications, such as renal and cardiac diseases. It is important to recognise what is available for treatment taking into account diabetes heterogeneity. For those who develop type 2 diabetes (T2DM), effective treatments are available that for the first time have shown a benefit in reducing mortality and macrovascular complications, in addition to the well‐established benefits of glucose control in reducing microvascular complications. Some of the newer medications for treating hyperglycaemia have also a positive impact in reducing heart failure (HF). Technological advances have also contributed to improving the quality of care in patients with diabetes. The use of technology, such as continuous glucose monitoring systems (CGM), has improved significantly glucose and glycated haemoglobin A1c (HbA1c) values, while limiting the frequency of hypoglycaemia. Other technological support derives from the use of predictive algorithms that need to be refined to help predict those subjects who are at great risk of developing the disease and/or its complications, or who may require care by other specialists. In this review we also provide recommendations for the optimal use of the new medications; sodium‐glucose co‐transporter‐2 inhibitors (SGLT2i) and Glucagon‐like peptide‐receptor agonists 1 (GLP1RA) in the primary care setting considering the relevance of these drugs for the management of T2DM also in its early stage. [ABSTRACT FROM AUTHOR]

Objective: The cardiorenal benefits of adding sodium-glucose cotransporter 2 (SGLT2) inhibitor therapy for patients on insulin, particularly those on intensive regimens that include short-acting (SA) insulin, have not been explored.Research Design and Methods: In Dapagliflozin Effect on Cardiovascular Events trial (DECLARE-TIMI 58), 17,160 patients with type 2 diabetes were randomized to dapagliflozin or placebo for a median follow-up of 4.2 years. Cardiovascular (CV), renal, metabolic, and safety outcomes with dapagliflozin versus placebo by insulin dose and regimen were studied with Cox regression models.Results: The study included 7,013 insulin users at baseline, with 4,650 (66.3%) patients on regimens including SA insulin. Insulin doses varied, with 2,443 (34.8%) patients receiving <0.5 IU/kg, 2,795 (39.9%) 0.5 to ≤1 IU/kg, and 1,339 (19.1%) >1 IU/kg. Dapagliflozin reduced CV death/hospitalization for heart failure among overall insulin users (hazard ratio [HR] 0.82 [95% CI 0.69-0.97]) and consistently in patients on insulin regimens with or without SA insulin (0.83 [0.67-1.03] and 0.78 [0.57-1.07], respectively, Pinteraction = 0.75). No heterogeneity was observed by insulin dose (Pinteraction = 0.43). The HR for major adverse CV events with dapagliflozin among insulin users (0.84 [0.74-0.97]) was similar irrespective of regimen or dose (Pinteraction = 0.75 and 0.07). Dapagliflozin reduced the rate of adverse renal outcomes overall and consistently across subgroups of insulin users. Decreases in HbA1c, weight, and systolic blood pressure with dapagliflozin were seen regardless of insulin dose or regimen. The known safety profile of dapagliflozin was unchanged in patients on intensive insulin regimens.Conclusions: The benefits and safety of dapagliflozin were maintained in high-risk patients receiving high-dose or intensive insulin regimens including SA insulin.Article Highlights: Limited data exist regarding the cardiorenal, metabolic, and safety outcomes of SGLT2 inhibitors in patients on high-dose or intensive insulin regimens including short-acting insulin. In DECLARE-TIMI 58, 17,160 patients including 7,013 baseline insulin users were randomized to dapagliflozin versus placebo. Outcomes among insulin users by insulin dose and regimen were studied. Our results suggest that use of dapagliflozin by patients with type 2 diabetes managed with insulin, including high-dose or intensive insulin regimens, provided significant cardiovascular, renal, and metabolic benefits, in line with overall trial results. Adverse events associated with dapagliflozin, including hypoglycemia and diabetic ketoacidosis, were rare in this cohort. [ABSTRACT FROM AUTHOR]

Objective: In patients with moderate to severe albuminuric kidney disease, sodium-glucose cotransporter 2 inhibitors reduce the risk of kidney disease progression. These post hoc analyses assess the effects of dapagliflozin on kidney function decline in patients with type 2 diabetes (T2D), focusing on populations with low kidney risk.Research Design and Methods: In the Dapagliflozin Effect on Cardiovascular Events-Thrombolysis in Myocardial Infarction 58 (DECLARE-TIMI 58) trial, patients with T2D at high cardiovascular risk were randomly assigned to dapagliflozin versus placebo. Outcomes were analyzed by treatment arms, overall, and by Kidney Disease: Improving Global Outcomes (KDIGO) risk categories. The prespecified kidney-specific composite outcome was a sustained decline ≥40% in the estimated glomerular filtration rate (eGFR) to <60 mL/min/1.73 m2, end-stage kidney disease, and kidney-related death. Other outcomes included incidence of categorical eGFR decline of different thresholds and chronic (6 month to 4 year) or total (baseline to 4 year) eGFR slopes.Results: Most participants were in the low-moderate KDIGO risk categories (n = 15,201 [90.3%]). The hazard for the kidney-specific composite outcome was lower with dapagliflozin across all KDIGO risk categories (P-interaction = 0.97), including those at low risk (hazard ratio [HR] 0.54, 95% CI 0.38-0.77). Risks for categorical eGFR reductions (≥57% [in those with baseline eGFR ≥60 mL/min/1.73 m2], ≥50%, ≥40%, and ≥30%) were lower with dapagliflozin (HRs 0.52, 0.57, 0.55, and 0.70, respectively; P < 0.05). Slopes of eGFR decline favored dapagliflozin across KDIGO risk categories, including the low KDIGO risk (between-arm differences of 0.87 [chronic] and 0.55 [total] mL/min/1.73 m2/year; P < 0.0001).Conclusions: Dapagliflozin mitigated kidney function decline in patients with T2D at high cardiovascular risk, including those with low KDIGO risk, suggesting a role of dapagliflozin in the early prevention of diabetic kidney disease. [ABSTRACT FROM AUTHOR]

Aims  We investigated the associations between obesity, cardiorenal events, and benefits of dapagliflozin in patients with type 2 diabetes mellitus (T2DM). Methods and results  DECLARE–TIMI 58 randomized patients with T2DM and either atherosclerotic cardiovascular (CV) disease or multiple risk factors to dapagliflozin vs. placebo. Patients were stratified by body mass index (BMI, kg/m2): normal (18.5 to <25), overweight (25 to <30), moderately obese (30 to <35), severely obese (35 to <40), and very-severely obese (≥40). Outcomes analysed were CV death, hospitalization for heart failure (HHF), renal-specific composite outcome, and atrial fibrillation or flutter (AF/AFL). Of 17 134 patients, 9.0% had a normal BMI, 31.5% were overweight, 32.4% were moderately, 17.2% severely, and 9.8% were very-severely obese. Higher BMI was associated with a higher adjusted risk of HHF and AF/AFL (hazard ratio 1.30 and 1.28, respectively, per 5 kg/m2; P  < 0.001 for all). Dapagliflozin reduced body weight by similar relative amounts consistently across BMI categories (percent difference: −1.9 to −2.4%). Although relative risk reductions in CV and renal-specific composite outcomes with dapagliflozin did not significantly differ across the range of BMI (P for interaction ≥0.20 for all outcomes), obese patients (BMI ≥ 30 kg/m2) tended to derive greater absolute risk reduction in HHF and AF/AFL (P for interaction 0.02 and 0.09, respectively) than non-obese patients. Conclusions  In DECLARE–TIMI 58, patients with T2DM and higher BMI were more likely to have HHF and AF/AFL. Whereas relative risk reductions in CV and renal outcomes with dapagliflozin were generally consistent across the range of BMI, absolute risk reduction in obesity-related outcomes including HHF and AF/AFL tended to be larger in obese patients with T2DM. Clinical trial registration URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01730534. [ABSTRACT FROM AUTHOR]

Objective: The association of long‐term HbA1c variability with mortality has been previously suggested. However, the significance of HbA1c variability and trends in different age and HbA1c categories is unclear. Research Design and Methods: Data on patients with diabetes listed in the Israeli National Diabetes Registry during years 2012–2016 (observation period) were collected. Patients with >4 HbA1c measurements, type 1 diabetes, eGFR < 30mg/ml/min, persistent HbA1c < 6% or malignancy were excluded. Utilizing machine learning methods, patients were classified into clusters according to their HbA1c trend (increasing, stable, decreasing). Mortality risk during 2017–2019 was calculated in subgroups defined by age (35–54, 55–69, 70–89 years) and last HbA1c (≤7% and >7%) at end of observation period. Models were adjusted for demographic, clinical and laboratory measurements including HbA1c, standard deviation (SD) of HbA1c and HbA1c trend. Results: This historical cohort study included 293,314 patients. Increased HbA1c variability (high SD) during the observation period was an independent predictor of mortality in patients aged more than 55 years (p < 0.01). The HbA1c trend was another independent predictor of mortality. Patients with a decreasing versus stable HbA1c trend had a greater mortality risk; this association persisted in all age groups in patients with HbA1c > 7% at the end of the observation period (p = 0.02 in age 35–54; p < 0.01 in aged >55). Patients with an increasing versus stable HbA1c trend had a greater mortality risk only in the elderly group (>70), yet in both HbA1c categories (p < 0.01). Conclusions: HbA1c variability and trend are important determinants of mortality risk and should be considered when adjusting glycaemic targets. [ABSTRACT FROM AUTHOR]

Objective: Heart failure (HF) is an impactful complication of type 2 diabetes mellitus (T2DM). We aimed to develop and validate a risk score for hospitalization for HF (HHF) incorporating biomarkers and clinical factor(s) in patients with T2DM.Research Design and Methods: We derived a risk score for HHF using clinical data, high-sensitivity troponin T (hsTnT), and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) from 6,106 placebo-treated patients with T2DM in SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus-Thrombolysis in Myocardial Infarction 53). Candidate variables were assessed using Cox regression. The strongest indicators of HHF risk were included in the score using integer weights. The score was externally validated in 7,251 placebo-treated patients in DECLARE-TIMI 58 (Dapagliflozin Effect on CardiovascuLAR Events-Thrombolysis in Myocardial Infarction 58). The effect of dapagliflozin on HHF was assessed by risk category in DECLARE-TIMI 58.Results: The strongest indicators of HHF risk were NT-proBNP, prior HF, and hsTnT (each P < 0.001). A risk score using these three variables identified a gradient of HHF risk (P-trend <0.001) in the derivation and validation cohorts, with C-indices of 0.87 (95% CI, 0.84-0.89) and 0.84 (0.81-0.86), respectively. Whereas there was no significant effect of dapagliflozin versus placebo on HHF in the low-risk group (hazard ratio [HR] 0.98 [95% CI 0.50-1.92]), dapagliflozin significantly reduced HHF in the intermediate-, high-, and very-high-risk groups (HR 0.64 [0.43-0.95], 0.63 [0.43-0.94], and 0.72 [0.54-0.96], respectively). Correspondingly, absolute risk reductions (95% CI) increased across these latter 3 groups: 1.0% (0.0-1.9), 3.0% (0.7-5.3), and 4.4% (-0.2 to 8.9) (P-trend <0.001).Conclusions: We developed and validated a risk score for HHF in T2DM that incorporated NT-proBNP, prior HF, and hsTnT. The risk score identifies patients at higher risk of HHF who derive greater absolute benefit from dapagliflozin. [ABSTRACT FROM AUTHOR]

Diabetes mellitus (DM) is more common among people living with human immunodeficiency virus (PLWH) compared with healthy individuals. In a prospective multicenter study (N = 248), we identified normoglycemic (48.7%), prediabetic (44.4%), and diabetic (6.9%) PLWH. Glycosylated hemoglobin (HbA1c) and fasting blood glucose (FBG) sensitivity in defining dysglycemia was 96.8%, while addition of oral glucose tolerance test led to reclassification of only 4 patients. Inclusion of 93 additional PLWH with known DM enabled identification of multiple independent predictors of dysglycemia or diabetes: older age, higher body mass index, Ethiopian origin, HIV duration, lower integrase inhibitor exposure, and advanced disease at diagnosis. Shotgun metagenomic microbiome analysis revealed 4 species that were significantly expanded with hyperglycemia/hyperinsulinemia, and 2 species that were differentially more prevalent in prediabetic/diabetic PLWH. Collectively, we uncover multiple potential host and microbiome predictors of altered glycemic status in PLWH, while demonstrating that FBG and HbA1c likely suffice for diabetes screening. These potential diabetic predictors merit future prospective validation., Competing Interests: Potential conflicts of interest. E. E. is a scientific cofounder of DayTwo and BiomX, and an advisor to Purposebio, Aposense, Zoe, and MyGutly in topics unrelated to this work. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Since 2012, patients presenting to our hospital with an acute diabetic foot are hospitalized in a dedicated unit. This study describes patients' characteristics and trends in amputations, procedures and mortality during the years 2014-2018., Methods: We retrospectively reviewed the electronic medical records of 694 patients admitted to the unit during the study period. We collected demographic, clinical and laboratory data, procedures and outcomes. Annual trends were studied as well as predictors to any or major amputation and to mortality within 1 year following discharge., Results: The mean age was 63.8±12.7 years and 75.4% of the patients were male. There was a high prevalence of neuropathy, peripheral artery disease and ischemic heart disease (55.3%, 66.1% and 44.2% respectively). Previous hospitalization was noted for 62.0% of the patients and 38.3% had undergone a previous amputation. The majority of the patients had chronic kidney disease and 19.0% were dialysis patients. During hospitalization, 54.3% of the patients underwent any amputation, 25.2% had a major amputation and 6.2% died. The mortality rate within 1 year of discharge was 24.5%. There were no changes in patient demographics, characteristics or outcomes during the study years, although an increase in the proportion of patients who had undergone previous amputation, and of current smokers in recent years was noted. Moreover, in recent years more vascular procedures and surgical procedures in the operating room were performed. Older age, recent hospitalization, previous amputation, neuropathy, ischemic heart disease, peripheral vascular disease, chronic renal insufficiency, elevated inflammatory markers, a progressive ulcer, and a midfoot or hindfoot (vs. forefoot) ulcer were all associated with major amputations., Conclusions: During the study period, patients' characteristics remained generally stable as did amputation and mortality rates. The high 1-year mortality rate of this population is indicative of these patients' significant morbidity.

Introduction: Diabetic foot ulcers and amputations are the most dreaded diabetes complications. The annual incidence of diabetic foot ulcers in Israel is estimated at 1.8% of all patients with diabetes. The number of patients with diabetes undergoing major amputation in the recent decade has been relatively stable in Israel, and in 2018, 887 patients with diabetes had undergone a major amputation. The proportion of patients undergoing a vascular intervention in the year prior to a major amputation has remained steady over the recent decade, and ranges between 20-40% depending on the patient's age. Aiming to reduce amputation rate, efforts should be made at three levels: 1) Primary care - increasing awareness of patients and health care teams to diabetic foot complications, the means to avoid them, and the delivery of preliminary care. Efforts to further increase awareness should be undertaken. Identification of the foot at-risk and incorporation of professional teams in the care of these patients, as well as provision of appropriate preventive offloading footwear should be sought. 2) Secondary clinics - these multidisciplinary clinics tend to all complications which cannot be adequately addressed in primary care. The professional standard of these clinics should be determined, and the access to these clinics improved. Adequate equipment in these clinics is mandatory as well. 3) Tertiary hospitals - care for the patients who require hospitalization. A national standard for inpatient diabetic foot care should be implemented and multi-disciplinary departments incorporating internists, orthopedists and vascular surgeons should be established aiming to address the medical and surgical complexity of these patients. Qualified nursing staff as well as additional health care professionals including physiotherapists, dieticians, clinical pharmacists, social workers, occupational therapists and others should also be included. Documentation of diabetic foot ulcers is lacking, both in the community and in hospitals. Use of uniform diagnostic codes should be implemented to enable close monitoring of disease trends.