Prevalence and Predictors of Left Ventricular Diastolic Dysfunction in Malaysian Patients With Type 2 Diabetes Mellitus Without Prior Known Cardiovascular Disease

A bibliometric analysis of research trends on left ventricular dysfunction and exercise among individuals with type 2 diabetes mellitus

BACKGROUND

Diabetic cardiomyopathy (DCM) is a severe outcome of type 2 diabetes mellitus (T2DM) and a major global health concern. The overall impact of T2DM on the heart is demonstrated by echocardiographic measurements. Exercise helps reduce cardiovascular disease risk and improves glycemic management in T2DM. The objective of the present bibliometric study was to map the research trends on left ventricular dysfunction and exercise among T2DM.

MATERIALS AND METHODS

The comprehensive search was conducted in the SCOPUS database, with the keywords "type 2 diabetes", "diabetic cardiomyopathy", "exercise," and "left ventricular function", with BOOLEAN Operators AND, OR. The search period ranged from 1984 to November 2023. The data was exported to VOS Viewer(1.6.20) for analysis.

RESULTS

Sixty-nine documents were retrieved from the database search. A steady rise was observed in the number of documents per year, between 1 and 5. The following countries published the maximum number of documents: the USA, Italy, Australia, and the UK. 79.7% of documents were original articles, 18.8% were reviews, and 1.4% were editorials. Most studies belonged to categories, namely medicine(69.9%), biochemistry(15.1%), pharmacology (8.6%) and health professions (2.2%). The network analysis was performed to explore the association between the studies based on co-authorship, citation analysis, and co-occurrence.

CONCLUSION

The bibliometric analysis showed the maximum number of publications belonged to high-income countries, with smaller contributions from low-middle-income countries (LMICs), including the Indian subcontinent. There is a need to explore the area of exercise and left ventricular dysfunction in T2DM as exercise can act as a valuable tool in LMICs where the burden of T2DM is increasing.

T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes

Cardiovascular disease complications are the leading cause of morbidity and mortality in patients with Type 2 diabetes (T2DM). Left ventricular diastolic dysfunction (LVDD) is one of the earliest myocardial characteristics of diabetic cardiac dysfunction. Therefore, we aimed to develop an LVDD-risk predictive model to diagnose cardiac dysfunction before severe cardiovascular complications arise. We trained an artificial neural network model to predict LVDD risk with patients' clinical information. The model showed better performance than classical machine learning methods such as logistic regression, random forest and support vector machine. We further explored LVDD-risk/protective features with interpretability methods in neural network. Finally, we provided a freely accessible web server called LVDD-risk, where users can submit their clinical information to obtain their LVDD-risk probability and the most noteworthy risk indicators.

Mechanisms of diabetic cardiomyopathy: Focus on inflammation

PURPOSE OF REVIEW

Type 2 diabetes (T2D) significantly increases the risk of heart failure (HF), either through the progression of coronary artery disease (CAD) or through direct myocardial alterations, termed diabetic cardiomyopathy. This review examines key pathophysiological mechanisms underlying diabetic cardiomyopathy, focusing on the role of inflammation. It also addresses diagnostic and therapeutic approaches to mitigate myocardial damage in T2D.

RECENT FINDINGS

Chronic low-grade inflammation is considered as a major contributor to diabetic cardiomyopathy. T2D-related factors, including hyperglycemia and insulin resistance, activate inflammatory pathways that worsen myocardial dysfunction. Despite advances in understanding these mechanisms, no therapies specifically targeting the cardiac changes in T2D have been identified.

SUMMARY

While significant advances have been made in elucidating the inflammatory mechanisms contributing to diabetic cardiomyopathy, therapeutic advancements remain limited, potentially due to an incomplete understanding of regulatory pathways. A comprehensive investigation into the specific roles of immune cells and inflammatory mediators in diabetic cardiomyopathy is essential for identifying novel therapeutic targets. Expanding our knowledge of these molecular mechanisms has the potential to facilitate the development of innovative therapeutic strategies, thereby improving clinical outcomes in patients with T2D.

Association between neutrophil-to-lymphocyte ratio and left ventricular diastolic dysfunction in patients with type 2 diabetes mellitus

Background

Diabetes has become a global pandemic, posing a sustained threat to human health, primarily due to its associated complications. Left ventricular diastolic dysfunction (LVDD) is a prevalent cardiac complication among patients with diabetes. Since most patients are asymptomatic and lack relevant biomarkers, LVDD has not attracted significant attention from clinicians. The neutrophil-to-lymphocyte ratio (NLR) is a widely studied inflammation biomarker that has been suggested to be linked to various medical conditions, including cardiac diseases. However, its association with LVDD among patients with type 2 diabetes mellitus (T2DM) has not been explored.

Aim

To clarify the relationship between NLR and LVDD among patients with type 2 diabetes.

Methods

We conducted a cross-sectional study using medical records from 855 patients diagnosed with T2DM who were admitted to the Endocrinology department at Wuhan Union Hospital. According to the ASE/EACVI 2016 recommendations, these patients were categorized into two groups based on sonographic parameters: patients with normal left ventricular diastolic function (the non-LVDD group) and patients with LVDD (the LVDD group). NLR values were calculated and divided into three different levels. Statistical analysis was conducted to evaluate the correlation between NLR levels and the prevalence of LVDD.

Results

The prevalence of LVDD among hospitalized patients with T2DM in our study was 47.8% (409/855). The mean NLR value of the LVDD group was significantly higher compared with the non-LVDD group [1.60 (1.24-2.05) vs 1.85 (1.44-2.31), P<0.001]. The prevalence of LVDD in the three different NLR levels was 35.51% (76/214), 49.27% (203/412), and 56.77% (130/229), respectively. Unjustified logistic analysis showed that NLR levels were positively associated with the prevalence of LVDD (P <0.001). Compared to the low level of NLR, the unadjusted odds ratios (OR) of LVDD at the medium and high levels were 1.764 (1.255-2.478, P=0.001) and 2.384 (1.626-3.497, P<0.001), respectively (P for trend <0.001).

Conclusion

Our findings suggest that the NLR is a potential indicator for assisting clinicians in identifying LVDD in patients with T2DM. Patients with elevated NLR levels may be at a greater risk of developing LVDD than those with lower NLR levels, which may require attention and interventions to prevent patients from progressing into heart failure.

Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review

Diabetes is one of the most pressing health issues in the Southeast Asian region, and hypertension has been commonly reported as a comorbidity in adults with diabetes. This systematic review aimed to synthesize evidence on the prevalence and management of hypertension in adults with diabetes in Southeast Asian countries. A literature search was conducted in Ovid MEDLINE and Embase Classic + Embase from database inception until March 15, 2024. Studies were included if (1) they were conducted in Southeast Asian countries, (2) the study populations were adults with diabetes, and (3) there was information related to hypertension or blood pressure (BP) in the study results. Of the 7486 abstracts found, 90 studies qualified for this review. Most studies reported a hypertension prevalence of 70% or higher (ranging from 29.4% to 93.4%). Despite this high prevalence, a substantial proportion of these populations did not receive adequate BP control, with most studies indicating a control rate of less than 40%. There was limited evidence on the prescription of antihypertensive therapies and medication adherence. There was a lack of studies from 4 of the 11 countries in the region. This review highlights that BP control in adults with diabetes remains a significant challenge in Southeast Asia. Given the ongoing epidemiological transition, and the increasing older population in this region who are likely to accumulate multiple chronic conditions complicating medication strategies, this review highlights the urgent need to improve BP management in those with diabetes.

Ethnic disparities and its association between epicardial adipose tissue thickness and cardiometabolic parameters

Excessive deposit of epicardial adipose tissue (EAT) were recently shown to be positively correlated with cardiovascular disease (CVD). This study aims to investigate the thickness of EAT and its association with the components of metabolic syndrome among multi-ethnic Malaysians with and without acute coronary syndrome (ACS). A total of 213 patients were recruited, with the thickness of EAT were quantified non-invasively using standard two-dimensional echocardiography. EAT thickness among the Malaysian population was prompted by several demographic factors and medical comorbidities, particularly T2DM and dyslipidaemia. ACS patients have significantly thicker EAT compared to those without ACS (4.1 mm vs 3.7 mm, p = 0.035). Interestingly, among all the races, Chinese had the thickest EAT distribution (4.6 mm vs 3.8 mm), with age (p = 0.04 vs p < 0.001), and overall diastolic blood pressure (p = 0.028) was also found to be associated with EAT thickness. Further study is warranted to investigate its role as a cardiovascular risk marker among Malaysians with ACS.

Subclinical Left Ventricular Dysfunction over Seven-Year Follow-Up in Type 2 Diabetes Patients without Cardiovascular Diseases

Subclinical left ventricular dysfunction (LVD) is common in asymptomatic patients with type 2 diabetes (T2D). This study aimed to define long-term structural and functional disorders of the left ventricle (LV) myocardium over a 7-year follow-up in patients with T2D without cardiovascular diseases (CVD). Of the 120 patients with and without T2D of both sexes aged from 45 to 75 years (57.11 ± 7.9 years), included in the study in 2012-2013, 57 responded to the follow-up study. They were divided into two groups: one with T2D (n = 29), the other without it, the control (n = 28). All patients underwent transthoracic two-dimensional echocardiography with an assessment of standard indicators of systolic and diastolic cardiac function, global longitudinal strain (GLS), laboratory diagnostics of carbohydrate metabolism disorders markers, NT-proBNP, and CRP. The median follow-up duration was 7.2 [7.0-7.8] years. During the follow-up, a statistically significant increase in the incidence of diastolic dysfunction (DD) from 53% to 61% (p = 0.004) was found in the T2D group; no significant dynamics were noted in the control group (p = 0.48). The proportion of patients with reduced GLS (<-18%) increased in the T2D group (p = 0.036). A significant difference in the frequency of decreased GLS depending on presence of T2D was demonstrated. In conclusion, T2D is an independent risk factor for the worsening of subclinical left ventricular dysfunction in asymptomatic patients with T2D without CVD over 7-year follow-up.

Epidemiology of heart failure in diabetes: a disease in disguise

Left ventricular diastolic dysfunction (LVDD) without symptoms, and heart failure (HF) with preserved ejection fraction (HFpEF) represent the most common phenotypes of HF in individuals with type 2 diabetes mellitus, and are more common than HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF) and left ventricular systolic dysfunction (LVSD) in these individuals. However, diagnostic criteria for HF have changed over the years, resulting in heterogeneity in the prevalence/incidence rates reported in different studies. We aimed to give an overview of the diagnosis and epidemiology of HF in type 2 diabetes, using both a narrative and systematic review approach; we focus narratively on diagnosing (using the 2021 European Society of Cardiology [ESC] guidelines) and screening for HF in type 2 diabetes. We performed an updated (2016-October 2022) systematic review and meta-analysis of studies reporting the prevalence and incidence of HF subtypes in adults ≥18 years with type 2 diabetes, using echocardiographic data. Embase and MEDLINE databases were searched and data were assessed using random-effects meta-analyses, with findings presented as forest plots. From the 5015 studies found, 209 were screened using the full-text article. In total, 57 studies were included, together with 29 studies that were identified in a prior meta-analysis; these studies reported on the prevalence of LVSD (n=25 studies, 24,460 individuals), LVDD (n=65 studies, 25,729 individuals), HFrEF (n=4 studies, 4090 individuals), HFmrEF (n=2 studies, 2442 individuals) and/or HFpEF (n=8 studies, 5292 individuals), and on HF incidence (n=7 studies, 17,935 individuals). Using Hoy et al's risk-of-bias tool, we found that the studies included generally had a high risk of bias. They showed a prevalence of 43% (95% CI 37%, 50%) for LVDD, 17% (95% CI 7%, 35%) for HFpEF, 6% (95% CI 3%, 10%) for LVSD, 7% (95% CI 3%, 15%) for HFrEF, and 12% (95% CI 7%, 22%) for HFmrEF. For LVDD, grade I was found to be most prevalent. Additionally, we reported a higher incidence rate of HFpEF (7% [95% CI 4%, 11%]) than HFrEF 4% [95% CI 3%, 7%]). The evidence is limited by the heterogeneity of the diagnostic criteria over the years. The systematic section of this review provides new insights on the prevalence/incidence of HF in type 2 diabetes, unveiling a large pre-clinical target group with LVDD/HFpEF in which disease progression could be halted by early recognition and treatment.Registration PROSPERO ID CRD42022368035.

Can glycated haemoglobin (HbA1c) be used as a predictor of left ventricular diastolic dysfunction in non-hypertensive patients with newly diagnosed type 2 diabetes mellitus: a cross-sectional study at a tertiary care centre in Eastern India

OBJECTIVES

This study was conducted to establish the association between glycated haemoglobin (HbA1c) and left ventricular diastolic dysfunction (LVDD) in non-hypertensive patients with newly diagnosed type 2 diabetes mellitus (DM) and determine the cut-off value of HbA1c for detecting LVDD.

DESIGN

Cross-sectional study.

SETTING

This study was conducted in General Medicine Department in collaboration with the Cardiology Department at All India Institute of Medical Sciences, Patna.

PARTICIPANTS

The study population comprised patients with newly diagnosed type 2 DM within the past 3 months, aged between 18 years and 80 years, who were not hypertensive and without any systemic diseases and who presented to the General Medicine Department.

PRIMARY AND SECONDARY OUTCOME MEASURES

The presence of LVDD was the primary outcome measure.

RESULTS

Among the total of 60 participants, it was observed that age (adjusted odds ratio (AOR): 1.169, 95% CI: 1.066 to 1.283) and HbA1c (AOR: 2.625, 95% CI: 1.264 to 5.450) were found to be independent predictors for the presence of LVDD. Receiver operating characteristic analysis identified a cut-off value of HbA1c at 9.5% (80 mmol/mol) for detecting LVDD, with a specificity of 96.43%, a sensitivity of 37.5% and a positive predictive value (PPV) of 91.62%.

CONCLUSIONS

This study demonstrated that age and HbA1c levels are independent predictors of LVDD in patients with newly diagnosed type 2 DM without hypertension. A cut-off value of 9.5% for HbA1c was identified with a high specificity and PPV for predicting LVDD in patients with newly diagnosed type 2 diabetes. This underscores the importance of conducting echocardiography in patients with newly diagnosed asymptomatic type 2 diabetes with HbA1c 9.5% or more to assess LVDD, allowing for prompt interventions if necessary and to decelerate the progression towards heart failure.

Characterization of left ventricular diastolic parameters of gated-single-photon emission computed tomography myocardial perfusion imaging in patients with diabetes and normal myocardial perfusion and systolic function

BACKGROUND

Diabetic cardiomyopathy is defined as an independent entity with a specified pathological progression from diastolic dysfunction with preserved ejection fraction to overt heart failure. Myocardial perfusion imaging (MPI) with gated-single-photon emission computed tomography (G-SPECT) has been introduced as a feasible tool to evaluate left ventricular (LV) diastolic function. The aim of this study was to investigate the characteristics of diastolic parameters derived from G-SPECT MPI in diabetic patients compared to patients at very low risk of coronary artery disease (CAD) and with no other CAD risk factors.

METHODS

This cross-sectional study was performed on patients referred to the nuclear medicine department for G-SPECT MPI. Demographic and clinical data, as well as medical history, were extracted from a digital registry system including 4447 patients. Then, two matched groups of patients with only diabetes as cardiac risk factor ( n  = 126) and those without any identifiable CAD risk factors ( n  = 126) were selected. Diastolic parameters of MPI, including peak filling rate, time to peak filling rate, mean filling rate at the first third of diastole and second peak filling rate, were derived using quantitative software for eligible cases.

RESULTS

The mean age of the diabetic and nondiabetic groups was 57.1 ± 14.9 and 56.7 ± 10.6 years, respectively ( P  = 0.823). Comparison of quantitative SPECT MPI parameters between the two groups showed a statistically significant difference only in total perfusion deficit scores, whereas none of the functional parameters, including diastolic and dyssynchrony indices and the shape index, were significantly different. There were also no significant differences in diastolic function parameters between diabetes and nondiabetes patients in the age and gender subgroups.

CONCLUSION

Based on the G-SPECT MPI findings, there is a comparable prevalence of diastolic dysfunction in patients with only diabetes as a cardiovascular risk factor and low-risk patients with no cardiovascular risk factors in the setting of normal myocardial perfusion and systolic function.

Effects of Incretin-Based Treatment on the Diastolic (Dys)Function in Patients with Uncontrolled Type 2 Diabetes Mellitus: A Prospective Study with 1-Year Follow-Up

Left ventricular diastolic dysfunction (DD) is a subclinical cardiac abnormality in patients with type 2 diabetes mellitus (T2DM) that can progress to heart failure (HF) and increase cardiovascular risk. This prospective study evaluated the DD in T2DM patients without atherosclerotic cardiovascular disease after one year of incretin-based drugs added to standard treatment. Of the 138 enrolled patients (49.30% male, mean age 57.86 ± 8.82, mean T2DM history 5 years), 71 were started on dipeptidyl peptidase-4 inhibitor sitagliptin/saxagliptin, 21 on glucagon-like peptide-1 receptor agonist exenatide, and 46 formed the control group (metformin and sulphonylurea/acarbose). At baseline, 71 patients had grade 1 DD, another 12 had grade 2 and 3 DD, and 15 had indeterminate DD. After one year, DD was evidenced in 50 cases. Diastolic function improved in 9 cases, and 27 patients went from grade 1 to indeterminate DD. The active group benefited more, especially patients treated with exenatide; their metabolic and inflammation profiles also improved the most. An in-depth analysis of echocardiographic parameters and paraclinical results in the context of literature data justifies the conclusion that early assessment of diastolic function in T2DM patients is necessary and the benefits of affordable incretin-based treatment may extend to subclinical cardiovascular manifestations such as DD.