Predicting and preventing heart failure in type 2 diabetes

Artificial Intelligence to Diagnose Complications of Diabetes

Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artificial intelligence is technology that enables computers and machines to simulate human intelligence and solve complicated problems. In this article, we address current and likely future applications for AI to be applied to diabetes and its complications, including pharmacoadherence to therapy, diagnosis of hypoglycemia, diabetic eye disease, diabetic kidney diseases, diabetic neuropathy, diabetic foot ulcers, and heart failure in diabetes.Artificial intelligence is advantageous because it can handle large and complex datasets from a variety of sources. With each additional type of data incorporated into a clinical picture of a patient, the calculation becomes increasingly complex and specific. Artificial intelligence is the foundation of emerging medical technologies; it will power the future of diagnosing diabetes complications.

Artificial Intelligence Enabled Prediction of Heart Failure Risk from Single-lead Electrocardiograms

Importance

Despite the availability of disease-modifying therapies, scalable strategies for heart failure (HF) risk stratification remain elusive. Portable devices capable of recording single-lead electrocardiograms (ECGs) can enable large-scale community-based risk assessment.

Objective

To evaluate an artificial intelligence (AI) algorithm to predict HF risk from noisy single-lead ECGs.

Design

Multicohort study.

Setting

Retrospective cohort of individuals with outpatient ECGs in the integrated Yale New Haven Health System (YNHHS) and prospective population-based cohorts of UK Biobank (UKB) and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Participants

Individuals without HF at baseline.

Exposures

AI-ECG-defined risk of left ventricular systolic dysfunction (LVSD).

Main Outcomes and Measures

Among individuals with ECGs, we isolated lead I ECGs and deployed a noise-adapted AI-ECG model trained to identify LVSD. We evaluated the association of the model probability with new-onset HF, defined as the first HF hospitalization. We compared the discrimination of AI-ECG against two risk scores for new-onset HF (PCP-HF and PREVENT equations) using Harrel's C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI).

Results

There were 192,667 YNHHS patients (age 56 years [IQR, 41-69], 112,082 women [58%]), 42,141 UKB participants (65 years [59-71], 21,795 women [52%]), and 13,454 ELSA-Brasil participants (56 years [41-69], 7,348 women [55%]) with baseline ECGs. A total of 3,697 developed HF in YNHHS over 4.6 years (2.8-6.6), 46 in UKB over 3.1 years (2.1-4.5), and 31 in ELSA-Brasil over 4.2 years (3.7-4.5). A positive AI-ECG screen was associated with a 3- to 7-fold higher risk for HF, and each 0.1 increment in the model probability portended a 27-65% higher hazard across cohorts, independent of age, sex, comorbidities, and competing risk of death. AI-ECG's discrimination for new-onset HF was 0.725 in YNHHS, 0.792 in UKB, and 0.833 in ELSA-Brasil. Across cohorts, incorporating AI-ECG predictions in addition to PCP-HF and PREVENT equations resulted in improved Harrel's C-statistic (ΔPCP-HF=0.112-0.114; ΔPREVENT=0.080-0.101). AI-ECG had IDI of 0.094-0.238 and 0.090-0.192, and NRI of 15.8%-48.8% and 12.8%-36.3%, vs. PCP-HF and PREVENT, respectively.

Conclusions and Relevance

Across multinational cohorts, a noise-adapted AI model defined HF risk using lead I ECGs, suggesting a potential portable and wearable device-based HF risk-stratification strategy.

The association of glycaemic risk factors and diabetes duration with risk of heart failure in people with type 2 diabetes: A systematic review and meta-analysis

AIMS

To conduct a systematic review in order to better understand the association of glycaemic risk factors and diabetes duration with risk of heart failure (HF) in individuals with type 2 diabetes (T2D).

METHODS

We identified longitudinal studies investigating the association of glycaemic factors (glycated haemoglobin [HbA1c], HbA1c variability, and hypoglycaemia) and diabetes duration with HF in individuals with T2D. Hazard ratios and odds ratios were extracted and meta-analysed using a random-effects model where appropriate. Risk of bias assessment was carried out using a modified Newcastle-Ottawa Scale. Egger's test along with the trim-and-fill method were used to assess and account for publication bias.

RESULTS

Forty studies representing 4 102 589 people met the inclusion criteria. The risk of developing HF significantly increased by 15% for each percentage point increase in HbA1c, by 2% for each additional year of diabetes duration, and by 43% for having a history of severe hypoglycaemia. Additionally, variability in HbA1c levels was associated with a 20%-26% increased risk of HF for each unit increase in the metrics of variability (HbA1c standard deviation, coefficient of variation, and average successive variability). All included studies scored high in the risk of bias assessment. Egger's test suggested publication bias, with trim-and-fill analyses revealing a significant 14% increased risk of HF per percentage point increase in HbA1c.

CONCLUSIONS

Glycaemic risk factors and diabetes duration significantly contribute to the heightened risk of HF among individuals with T2D. A reduction in risk of HF is anticipated with better management of glycaemic risk factors.

Cardiovascular and renal effects of the combination therapy of a GLP-1 receptor agonist and an SGLT2 inhibitor in observational real-life studies

BACKGROUND

Combining a glucagon-like peptide-1 receptor agonist (GLP-1RA) and an sodium-glucose cotransporter 2 inhibitor (SGLT2i) improved cardiovascular (and renal) prognosis compared to either monotherapy in several post-hoc exploratory analyses of randomized controlled trials (RCTs) versus placebo carried out in patients with type 2 diabetes (T2DM) and high cardiovascular/renal risk. The aim of the present work is to verify if such a benefit of the combined therapy is also present in real-life clinical practice.

METHODS

An extended search of the literature was performed to select observational retrospective studies that compared cardiovascular and/or renal outcomes in patients with T2DM treated with a GLP-1RA/SGLT2i combination versus patients treated with either GLP-1RA monotherapy or SGLT2i monotherapy, in addition to standard of care therapy.

RESULTS

Nine observational studies showed that a GLP-1RA/SGLT2i combination is associated with a greater reduction in major adverse cardiovascular events (MACEs), hospitalization for heart failure and all-cause-mortality when compared to either GLP-1RA alone or SGLT2i alone, without obvious differences between the two monotherapies, including regarding heart failure. Results were obtained in different populations, including patients with atherosclerotic cardiovascular disease and/or heart failure. Only three observational studies gave information on renal outcomes, with a greater benefit when the GLP-1RA/SGLT2i combination was compared with GLP-1RA alone or SGLT2i alone.

CONCLUSION

In real-life conditions, the GLP-1RA/SGLT2i combination reduced cardiovascular and renal outcomes compared with both GLP-1RA monotherapy and SGLT2i monotherapy. Overall, observational studies confirm the results reported in post-hoc exploratory analyses of RCTs versus placebo.

Intensive Lifestyle Intervention, Cardiac Biomarkers, and Cardiovascular Outcomes in Diabetes: Look AHEAD Cardiac Biomarker Ancillary Study

BACKGROUND

N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) are associated with cardiovascular outcomes and are recommended for measurement in type 2 diabetes (T2D). However, the effects of an intensive lifestyle intervention (ILI) targeting weight loss on cardiac biomarkers and the prognostic association of changes in these biomarkers with risk of adverse cardiovascular outcomes in T2D are not well-established.

OBJECTIVES

This study sought to evaluate the effects of an ILI on cardiac biomarkers and the association of changes in cardiac biomarkers with risk of cardiovascular outcomes in T2D.

METHODS

Participants of the Look AHEAD (Action for Health in Diabetes) trial underwent NT-proBNP and hs-cTnT measurement at baseline (N = 3,984) and 1 and 4 years. The effects of the ILI (vs diabetes support and education [DSE]) on cardiac biomarkers were assessed using adjusted linear mixed-effect models and summarized as geometric mean ratios (GMRs). Associations of longitudinal changes in cardiac biomarkers with risk of cardiovascular outcomes were assessed using adjusted Cox models.

RESULTS

Average baseline NT-proBNP and hs-cTnT was 77 and 10.7 ng/L, respectively. The ILI (vs DSE) led to an increase in NT-proBNP at 1 year (GMR: 1.14; 95% CI: 1.08-1.20), but this difference was attenuated by 4 years (GMR: 1.01; 95% CI: 0.96-1.07). The ILI (vs DSE) led to lower hs-cTnT at 1 year (GMR: 0.94; 95% CI: 0.91-0.97) and 4 years (GMR: 0.93; 95% CI: 0.90-0.96). Participants with meaningful weight loss by 1 year (≥5% vs <5%) had a significant increase in NT-proBNP in the short term (year 1), which attenuated in the long-term follow-up (year 4). Meaningful 1-year weight loss was significantly associated with reduction in hs-cTnT in the long term. In adjusted Cox models, increase in NT-proBNP was significantly associated with higher risk of the composite atherosclerotic cardiovascular disease (ASCVD) outcome and incident heart failure independent of baseline measure of the cardiac biomarker and changes in risk factors. In contrast, longitudinal increase in hs-cTnT was significantly associated with higher risk of the composite ASCVD outcome but not incident heart failure in the most adjusted model.

CONCLUSIONS

Among adults with T2D, an ILI led to a significant reduction in hs-cTnT on follow-up but a transient increase in NT-proBNP levels at 1 year that attenuated over time. Longitudinal assessment of NT-proBNP and hs-cTnT provide prognostic information for ASCVD risk, whereas only changes in NT-proBNP predicted HF risk.

Exploring aldose reductase inhibitors as promising therapeutic targets for diabetes-linked disabilities

Diabetes mellitus significantly increases mortality and morbidity rates due to complications like neuropathy and nephropathy. It also leads to retinopathy and cataract formation, which is a leading cause of vision disability. The polyol pathway emerges as a promising therapeutic target among the various pathways associated with diabetic complications. This review focuses on the development of natural and synthetic aldose reductase inhibitors (ARIs), along with recent discoveries in diabetic complication treatment. AR, pivotal in the polyol pathway converting glucose to sorbitol, plays a key role in secondary diabetes complications' pathophysiology. Understanding AR's function and structure lays the groundwork for improving ARIs to mitigate diabetic complications. New developments in ARIs open up exciting possibilities for treating diabetes-related complications. However, it is still challenging to get preclinical successes to clinical effectiveness because of things like differences in how the disease starts, drug specificity, and the complexity of the AR's structure. Addressing these challenges is crucial for developing targeted and efficient ARIs. Continued research into AR's structural features and specific ARIs is essential. Overcoming these challenges could revolutionize diabetic complication treatment, enhance patient outcomes, and reduce the global burden of diabetes-related mortality and morbidity.

Role of fatty acids in the pathogenesis of ß-cell failure and Type-2 diabetes

Pancreatic ß-cells are glucose sensors in charge of regulated insulin delivery to the organism, achieving glucose homeostasis and overall energy storage. The latter function promotes obesity when nutrient intake chronically exceeds daily expenditure. In case of ß-cell failure, such weight gain may pave the way for the development of Type-2 diabetes. However, the causal link between excessive body fat mass and potential degradation of ß-cells remains largely unknown and debated. Over the last decades, intensive research has been conducted on the role of lipids in the pathogenesis of ß-cells, also referred to as lipotoxicity. Among various lipid species, the usual suspects are essentially the non-esterified fatty acids (NEFA), in particular the saturated ones such as palmitate. This review describes the fundamentals and the latest advances of research on the role of fatty acids in ß-cells. This includes intracellular pathways and receptor-mediated signaling, both participating in regulated glucose-stimulated insulin secretion as well as being implicated in ß-cell dysfunction. The discussion extends to the contribution of high glucose exposure, or glucotoxicity, to ß-cell defects. Combining glucotoxicity and lipotoxicity results in the synergistic and more deleterious glucolipotoxicity effect. In recent years, alternative roles for intracellular lipids have been uncovered, pointing to a protective function in case of nutrient overload. This requires dynamic storage of NEFA as neutral lipid droplets within the ß-cell, along with active glycerolipid/NEFA cycle allowing subsequent recruitment of lipid species supporting glucose-stimulated insulin secretion. Overall, the latest studies have revealed the two faces of the same coin.

Vericiguat and Cardiovascular Outcomes in Heart Failure by Baseline Diabetes Status: Insights From the VICTORIA Trial

BACKGROUND

Type 2 diabetes mellitus (T2DM) significantly worsens heart failure (HF) prognosis.

OBJECTIVES

This study sought to investigate the impact of T2DM on outcomes in patients enrolled in VICTORIA and assess the efficacy of vericiguat in patients with and without T2DM.

METHODS

Patients with HF with reduced ejection fraction were randomized to receive vericiguat or placebo in addition to standard therapy. The primary outcome was a composite of cardiovascular death or first heart failure hospitalization (HFH). A Cox proportional hazards model was used to calculate HRs and 95% CIs to assess if the effect of vericiguat differed by history of T2DM.

RESULTS

Of 5,050 patients enrolled, 3,683 (72.9%) had glycosylated hemoglobin (HbA1c) measured at baseline. Of these, 2,270 (61.6%) had T2DM, 741 (20.1%) had pre-T2DM, 449 (12.2%) did not have T2DM, and 178 (4.8%) had undiagnosed T2DM. The risks of the primary outcome, HFH, and all-cause and cardiovascular mortality were high across all categories. The efficacy of vericiguat on the primary outcome did not differ in patients stratified by T2DM by history (HR: 0.92; 95% CI: 0.81-1.04), T2DM measured by HbA1c (HR: 0.77; 95% CI: 0.49-1.20), and pre-T2DM measured by HbA1c (HR: 0.88; 95% CI: 0.68-1.13) and in those with normoglycemia (HR: 1.02: 95% CI: 0.75-1.39; P for interaction = 0.752). No significant differences were observed in subgroups with respect to the efficacy of vericiguat on HFH and all-cause or cardiovascular death.

CONCLUSIONS

In this post hoc analysis of VICTORIA, vericiguat compared with placebo significantly reduced the risk of cardiovascular death or HFH in patients with worsening HF with reduced ejection fraction regardless of T2DM status. (A Study of Vericiguat in Participants With Heart Failure With Reduced Ejection Fraction [HFrEF] [Mk-1242-001] [VICTORIA]; NCT02861534).

Endogenous adenine is a potential driver of the cardiovascular-kidney-metabolic syndrome

Mechanisms underlying the cardiovascular-kidney-metabolic (CKM) syndrome are unknown, although key small molecule metabolites may be involved. Bulk and spatial metabolomics identified adenine to be upregulated and specifically enriched in coronary blood vessels in hearts from patients with diabetes and left ventricular hypertrophy. Single nucleus gene expression studies revealed that endothelial methylthioadenosine phosphorylase (MTAP) was increased in human hearts with hypertrophic cardiomyopathy. The urine adenine/creatinine ratio in patients was predictive of incident heart failure with preserved ejection fraction. Heart adenine and MTAP gene expression was increased in a 2-hit mouse model of hypertrophic heart disease and in a model of diastolic dysfunction with diabetes. Inhibition of MTAP blocked adenine accumulation in the heart, restored heart dysfunction in mice with type 2 diabetes and prevented ischemic heart damage in a rat model of myocardial infarction. Mechanistically, adenine-induced impaired mitophagy was reversed by reduction of mTOR. These studies indicate that endogenous adenine is in a causal pathway for heart failure and ischemic heart disease in the context of CKM syndrome.

Trends in cardiovascular health among US adults by glycemic status based on Life's Essential 8

OBJECTIVE

We aimed to assess the secular trends in cardiovascular health (CVH) among U.S. adults with different glycemic statuses based on the Life's Essential 8 (LE8).

METHODS

This cross-sectional study used nationally representative data from 6 cycles of the National Health and Nutrition Examination Surveys between 2007 and 2018. Survey-weighted linear models were used to assess time trends in LE8 scores. Stratified analyses and sensitivity analyses were conducted to validate the stability of the results.

RESULTS

A total of 23,616 participants were included in this study. From 2007 to 2018, there was no significant improvement in overall CVH and the proportion of ideal CVH among participants with diabetes and prediabetes. We observed an opposite trend between health behavior and health factors in the diabetes group, mainly in increasing physical activity scores and sleep scores (P for trend<0.001), and declining BMI scores [difference, -6.81 (95% CI, -12.82 to -0.80)] and blood glucose scores [difference, -6.41 (95% CI, -9.86 to -2.96)]. Dietary health remained at a consistently low level among participants with different glycemic status. The blood lipid scores in the prediabetes group improved but were still at a lower level than other groups. Education/income differences persist in the CVH of participants with diabetes or prediabetes, especially in health behavior factors. Sensitivity analyses of the absolute difference and change in proportion showed a consistent trend.

CONCLUSIONS

Trends in CVH among participants with diabetes or prediabetes were suboptimal from 2007 to 2018, with persistent education/income disparities.

Impact of the presence and type of cardiovascular disease on the risk of mortality in type 2 diabetic patients: The DIABET-IC trial

INTRODUCTION

All-cause mortality and cardiovascular mortality (CVM) risk can be very high in adults with type 2 diabetes mellitus (DM2) with previous cardiovascular disease (CVD). Our objective was to determine this risk among the different clinical spectrum of CVD.

MATERIAL AND METHODS

The DIABET-IC trial is a multicenter, prospective, observational, and analytical study. Consecutive subjects with DM2 attending our outpatients' clinics were recruited. Data on clinical features, lab test results, and echocardiographic measures were collected. Patients were categorized depending on the presence and type of CVD: heart failure (HF), coronary artery disease (CAD), cerebrovascular disease (CVD) and peripheral artery disease (PAD). All-cause mortality and CVM were the dependent variables analyzed. Mortality rate was expressed as deaths per 1000 patients-year. Cox proportional hazards regressions models were used to establish the mortality risk associated with every type of CVD.

RESULTS

We studied a total of 1246 patients (mean age, 6.3 (SD, 9.9) years; 31.6%, female) with an initial prevalence of CVD of 59.3%. A total of 122 deaths (46 due to CVD) occurred at the 2.6-year follow-up. All-cause and MCV rates associated with the presence of PAD (85.6/1000 and 33.6/1000, respectively) and HF (72.9/1000 and 28.7/1000 respectively) were the most elevated of all. In multivariate analysis, HF increased all-cause mortality risk (HR, 1.63; CI 95% 1.03-2.58; P=.037) and the risk of CVM (HR, 3.41; 95% CI, 1.68-6.93; P=.001).

CONCLUSIONS

Mortality among DM2 patients is highly increased in the presence of HF and PAD. This justifies the screening of these conditions to intensify therapeutic strategies.

Prevalence and incidence of heart failure in type 2 diabetes patients: results from a nationwide prospective cohort-the DIABET-IC study

BACKGROUND

Type 2 diabetes (T2D) patients have an increased risk of heart failure (HF). There are limited data on the association between HF and T2D in specific healthcare settings. This study sought to analyse the prevalence and incidence of HF in a contemporary cohort of T2D patients attending cardiology and endocrinology outpatient clinics.

METHODS

We conducted an observational multicentre prospective study (DIABET-IC) that enrolled patients with a T2D diagnosis attending cardiology and endocrinology outpatient clinics in 30 centres in Spain between 2018 and 2019. The prevalence at the start of the study and the incidence of HF after a 3 year follow-up were calculated. HF was defined as the presence of typical symptoms and either: a) LVEF < 40%; or b) LVEF ≥ 40% with elevated natriuretic peptides and echocardiographic abnormalities.

RESULTS

A total of 1249 T2D patients were included in the present analysis (67.6 ± 10.1 years, 31.7% female). HF was present in 490 participants at baseline (prevalence 39.2%), 150 (30.6%) of whom had a preserved ejection fraction. The presence of adverse social determinants and chronic conditions such as chronic kidney disease and atherosclerotic cardiovascular disease were more frequent in HF patients. During the study period, there were 58 new diagnoses of HF (incidence 7.6%) among those without baseline HF. The incidence rate was 3.0 per 100 person-years. Independent predictors of incident HF were smoking, left ventricular ejection fraction, NT-ProBNP, history of tachyarrhythmia and treatment with pioglitazone, oral anticoagulants, or diuretics. Despite an average suboptimal glycaemic control, the use of antidiabetic drugs with cardiovascular benefits was low (30.4% for sodium-glucose cotransporter-2 inhibitors and 12.5% for glucagon-like peptide-1 receptor agonists).

CONCLUSIONS

In this contemporary cohort of T2D patients attending cardiology and endocrinology outpatient clinics, the prevalence and incidence of HF were high, comorbidities were frequent, and the use of antidiabetic agents with cardiovascular benefit was low. Outpatient care seems to be a unique opportunity for a comprehensive T2D approach that encompasses HF prevention, diagnosis, and treatment.

Stress hyperglycemia ratio and the clinical outcome of patients with heart failure: a meta-analysis

Background

Stress hyperglycemia ratio (SHR) is a newly suggested measure of stress-induced hyperglycemia that combines both short-term and long-term glycemic conditions. The study aimed to explore the association between SHR and the incidence of adverse clinical events with heart failure (HF) through a meta-analysis.

Methods

Cohort studies relevant to the aim of the meta-analysis were retrieved by search of electronic databases including PubMed, Web of Science, Embase, Wanfang, and CNKI. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity.

Results

Ten studies involving 15250 patients with HF were included. Pooled results showed that compared to patients with lower SHR at baseline, those with a higher SHR were associated with an increased risk of all-cause mortality during follow-up (risk ratio [RR]: 1.61, 95% confidence interval [CI]: 1.17 to 2.21, p = 0.003; I2 = 82%). Further meta-regression analysis suggests that different in the cutoff of SHR significantly modify the results (coefficient = 1.22, p = 0.02), and the subgroup analysis suggested a more remarkable association between SHR and all-cause mortality in studies with cutoff of SHR ≥ 1.05 than those with cutoff of SHR < 1.05 (RR: 2.29 versus 1.08, p for subgroup difference < 0.001). Subsequent meta-analyses also showed that a high SHR at baseline was related to the incidence of cardiovascular death (RR: 2.19, 95% CI: 1.55 to 3.09, p < 0.001; I2 = 0%), HF-rehospitalization (RR: 1.83, 95% CI: 1.44 to 2.33, p < 0.001; I2 = 0%), and major adverse cardiovascular events (RR: 1.54, 95% CI: 1.15 to 2.06, p = 0.004; I2 = 74%) during follow-up.

Conclusion

A high SHR at baseline is associated with a poor clinical prognosis of patients with HF.

Systematic review registration

https://inplasy.com, identifier INPLASY202430080.

U shape association between triglyceride glucose index and congestive heart failure in patients with diabetes and prediabetes

BACKGROUND

While previous population studies have shown that higher triglyceride-glucose (TyG) index values are associated with an increased risk of congestive heart failure (CHF), the relationship between TyG and CHF in patients with abnormal glucose metabolism remains understudied. This study aimed to evaluate the association between TyG and CHF in individuals with diabetes and prediabetes.

METHODS

The study population was derived from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. The exposure variable, TyG, was calculated based on triglyceride and fasting blood glucose levels, while the outcome of interest was CHF. A multivariate logistic regression analysis was employed to assess the association between TyG and CHF.

RESULTS

A total of 13,644 patients with diabetes and prediabetes were included in this study. The results from the fitting curve analysis demonstrated a non-linear U-shaped correlation between TyG and CHF. Additionally, linear logistic regression analysis showed that each additional unit of TyG was associated with a non-significant odds ratio (OR) of 1.03 (95%CI: 0.88-1.22, P = 0.697) for the prevalence of CHF. A two-piecewise logistic regression model was used to calculate the threshold effect of the TyG. The log likelihood ratio test (p < 0.05) indicated that the two-piecewise logistic regression model was superior to the single-line logistic regression model. The TyG tangent point was observed at 8.60, and on the left side of this point, there existed a negative correlation between TyG and CHF (OR: 0.54, 95%CI: 0.36-0.81). Conversely, on the right side of the inflection point, a significant 28% increase in the prevalence of CHF was observed per unit increment in TyG (OR: 1.28, 95%CI: 1.04-1.56).

CONCLUSIONS

The findings from this study suggest a U-shaped correlation between TyG and CHF, indicating that both elevated and reduced levels of TyG are associated with an increased prevalence of CHF.

Impact of telemedical management on hospitalization and mortality in heart failure patients with diabetes: a post-hoc subgroup analysis of the TIM-HF2 trial

BACKGROUND

The TIM-HF2 study demonstrated that remote patient management (RPM) in a well-defined heart failure (HF) population reduced the percentage of days lost due to unplanned cardiovascular hospital admissions or all-cause death during 1-year follow-up (hazard ratio 0.80) and all-cause mortality alone (HR 0.70). Higher rates of hospital admissions and mortality have been reported in HF patients with diabetes compared with HF patients without diabetes. Therefore, in a post-hoc analysis of the TIM-HF2 study, we investigated the efficacy of RPM in HF patients with diabetes.

METHODS

TIM-HF2 study was a randomized, controlled, unmasked (concealed randomization), multicentre trial, performed in Germany between August 2013 and May 2018. HF-Patients in NYHA class II/III who had a HF-related hospital admission within the previous 12 months, irrespective of left ventricular ejection fraction, and were randomized to usual care with or without added RPM and followed for 1 year. The primary endpoint was days lost due to unplanned cardiovascular hospitalization or due to death of any cause. This post-hoc analysis included 707 HF patients with diabetes.

RESULTS

In HF patients with diabetes, RPM reduced the percentage of days lost due to cardiovascular hospitalization or death compared with usual care (HR 0.66, 95% CI 0.48-0.90), and the rate of all-cause mortality alone (HR 0.52, 95% CI 0.32-0.85). RPM was also associated with an improvement in quality of life (mean difference in change in global score of Minnesota Living with Heart Failure Questionnaire score (MLHFQ): - 3.4, 95% CI - 6.2 to - 0.6).

CONCLUSION

These results support the use of RPM in HF patients with diabetes.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov NCT01878630.

Anthocyanins and Type 2 Diabetes: An Update of Human Study and Clinical Trial

Anthocyanins are phenolic compounds occurring in fruits and vegetables. Evidence from pre-clinical studies indicates their role in glucose level regulation, gut microbiota improvement, and inflammation reduction under diabetic conditions. Therefore, incorporating these research advancements into clinical practice would significantly improve the prevention and management of type 2 diabetes. This narrative review provides a concise overview of 18 findings from recent clinical research published over the last 5 years that investigate the therapeutic effects of dietary anthocyanins on diabetes. Anthocyanin supplementation has been shown to have a regulatory effect on fasting blood glucose levels, glycated hemoglobin, and other diabetes-related indicators. Furthermore, increased anthocyanin dosages had more favorable implications for diabetes treatment. This review provides evidence that an anthocyanin-rich diet can improve diabetes outcomes, especially in at-risk groups. Future research should focus on optimal intervention duration, consider multiple clinical biomarkers, and analyze anthocyanin effects among well-controlled versus poorly controlled groups of patients with diabetes.

Efficacy and safety of bimekizumab in the treatment of psoriatic arthritis: a systematic review and meta-analysis

BACKGROUND

Bimekizumab, a humanized monoclonal IgG1 antibody targeting both interleukin (IL)-17A and IL-17F, could be effective for treating Psoriatic arthritis (PsA). This study aimed to systematically evaluate the efficacy and safety of bimekizumab in the management of PsA.

RESEARCH DESIGN AND METHODS

A comprehensive literature search by August 2023 was performed through PubMed, Embase, Cochrane Controlled Register of Trials, and ClinicalTrials.gov. investigating the efficacy or safety data of bimekizumab in the treatment of PsA. Data was pooled using the random-effects models. Egger tests were used to evaluate potential publication bias.

RESULTS

A total of 4 RCTs, involving 892 PsA patients and 467 placebo controls, were included in this analysis. Bimekizumab significantly increased the rates of PASI75 and PASI100 compared with placebos [RR = 7.22, 95% CI (5.24, 9.94), p < 0.001; RR = 10.12, 95% CI (6.00, 17.09), p < 0.001]. The rate of overall adverse events was slightly higher in the bimekizumab group [RR = 1.42, 95% CI (1.05, 1.93) p = 0.023). However, there were fewer adverse severe drug reactions in the bimekizumab group compared to the placebo.

CONCLUSION

Bimekizumab had a significant clinical benefit in managing PsA and an acceptable safety profile.

Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study

Background

Current risk stratification strategies for heart failure (HF) risk require either specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we evaluated the use of artificial intelligence (AI) applied to images of electrocardiograms (ECGs) to predict HF risk.

Methods

Across multinational longitudinal cohorts in the integrated Yale New Haven Health System (YNHHS) and in population-based UK Biobank (UKB) and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), we identified individuals without HF at baseline. Incident HF was defined based on the first occurrence of an HF hospitalization. We evaluated an AI-ECG model that defines the cross-sectional probability of left ventricular dysfunction from a single image of a 12-lead ECG and its association with incident HF. We accounted for the competing risk of death using the Fine-Gray subdistribution model and evaluated the discrimination using Harrel's c-statistic. The pooled cohort equations to prevent HF (PCP-HF) were used as a comparator for estimating incident HF risk.

Results

Among 231,285 individuals at YNHHS, 4472 had a primary HF hospitalization over 4.5 years (IQR 2.5-6.6) of follow-up. In UKB and ELSA-Brasil, among 42,741 and 13,454 people, 46 and 31 developed HF over a follow-up of 3.1 (2.1-4.5) and 4.2 (3.7-4.5) years, respectively. A positive AI-ECG screen portended a 4-fold higher risk of incident HF among YNHHS patients (age-, sex-adjusted HR [aHR] 3.88 [95% CI, 3.63-4.14]). In UKB and ELSA-Brasil, a positive-screen ECG portended 13- and 24-fold higher hazard of incident HF, respectively (aHR: UKBB, 12.85 [6.87-24.02]; ELSA-Brasil, 23.50 [11.09-49.81]). The association was consistent after accounting for comorbidities and the competing risk of death. Higher model output probabilities were progressively associated with a higher risk for HF. The model's discrimination for incident HF was 0.718 in YNHHS, 0.769 in UKB, and 0.810 in ELSA-Brasil. Across cohorts, incorporating model probability with PCP-HF yielded a significant improvement in discrimination over PCP-HF alone.

Conclusions

An AI model applied to images of 12-lead ECGs can identify those at elevated risk of HF across multinational cohorts. As a digital biomarker of HF risk that requires just an ECG image, this AI-ECG approach can enable scalable and efficient screening for HF risk.

Hypertension Related Co-Morbidities and Complications in Women of Sub-Saharan Africa: A Brief Review

Hypertension is the leading cause of cardiovascular disease in women, and sub-Saharan African (SSA) countries have some of the highest rates of hypertension in the world. Expanding knowledge of causes, management, and awareness of hypertension and its co-morbidities worldwide is an effective strategy to mitigate its harms, decrease morbidities and mortality, and improve individual quality of life. Hypertensive disorders of pregnancy (HDPs) are a particularly important subset of hypertension, as pregnancy is a major stress test of the cardiovascular system and can be the first instance in which cardiovascular disease is clinically apparent. In SSA, women experience a higher incidence of HDP compared with other African regions. However, the region has yet to adopt treatment and preventative strategies for HDP. This delay stems from insufficient awareness, lack of clinical screening for hypertension, and lack of prevention programs. In this brief literature review, we will address the long-term consequences of hypertension and HDP in women. We evaluate the effects of uncontrolled hypertension in SSA by including research on heart disease, stroke, kidney disease, peripheral arterial disease, and HDP. Limitations exist in the number of studies from SSA; therefore, we will use data from countries across the globe, comparing and contrasting approaches in similar and dissimilar populations. Our review highlights an urgent need to prioritize public health, clinical, and bench research to discover cost-effective preventative and treatment strategies that will improve the lives of women living with hypertension in SSA.

Prevalence and Predictors of Subclinical Cardiomyopathy in Patients With Type 2 Diabetes in a Health System

INTRODUCTION

Diabetic cardiomyopathy (DbCM) is characterized by subclinical abnormalities in cardiac structure/function and is associated with a higher risk of overt heart failure (HF). However, there are limited data on optimal strategies to identify individuals with DbCM in contemporary health systems. The aim of this study was to evaluate the prevalence of DbCM in a health system using existing data from the electronic health record (EHR).

METHODS

Adult patients with type 2 diabetes mellitus free of cardiovascular disease (CVD) with available data on HF risk in a single-center EHR were included. The presence of DbCM was defined using different definitions: (1) least restrictive: ≥1 echocardiographic abnormality (left atrial enlargement, left ventricle hypertrophy, diastolic dysfunction); (2) intermediate restrictive: ≥2 echocardiographic abnormalities; (3) most restrictive: 3 echocardiographic abnormalities. DbCM prevalence was compared across age, sex, race, and ethnicity-based subgroups, with differences assessed using the chi-squared test. Adjusted logistic regression models were constructed to evaluate significant predictors of DbCM.

RESULTS

Among 1921 individuals with type 2 diabetes mellitus, the prevalence of DbCM in the overall cohort was 8.7% and 64.4% in the most and least restrictive definitions, respectively. Across all definitions, older age and Hispanic ethnicity were associated with a higher proportion of DbCM. Females had a higher prevalence than males only in the most restrictive definition. In multivariable-adjusted logistic regression, higher systolic blood pressure, higher creatinine, and longer QRS duration were associated with a higher risk of DbCM across all definitions.

CONCLUSIONS

In this single-center, EHR cohort, the prevalence of DbCM varies from 9% to 64%, with a higher prevalence with older age and Hispanic ethnicity.