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

Objective: Subclinical left ventricular disfunction (LVD) is common in asymptomatic patients with type 2 diabetes (T2D). Many patients with diabetes have an impaired diastolic and systolic function. With preserved ejection fraction LV (EFLV), the latter is defined as reduced global longitudinal strain (GLS), detected using the speckle-tracking echocardiography. This study is aimed to define the long-term structural and functional disorders of the LV myocardium in patients with T2D without CVD. Methods: 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, only 57 responded to the follow-up study. The patients were divided into two groups: one with T2D (n=29), the other without it, control (n=28). All patients underwent transthoracic two-dimensional echocardiography with assessment of standard indicators of systolic and diastolic cardiac function, as well as GLS. In addition, all participants underwent laboratory diagnostics of carbohydrate metabolism disorders markers, NT-proBNP and CRP. The median follow-up duration was 7.2 [7.0-7.8] years. Results: During the follow-up, a statistically significant increase in the incidence of diastolic dysfunction (DD) in the type 2 diabetes group was found from 53% to 61% (p = 0.004); no significant dynamics were noted in the control group (p = 0.48). The presence of T2D significantly increases the risk of developing DD (p=0.04). The presence of T2D, increased fasting glucose levels, and an increased HOMA index were independent predictors of the development of DD. Impairment of LVEF was not observed in both groups. At the same time, 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 T2D was demonstrated. The presence of obesity, an increase in the HOMA index and an increase in CRP levels are independent predictors of impaired GLS. Conclusions: 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. Diastolic dysfunction is represented by delayed relaxation of the LV myocardium; with preserved LVEF, reduced 2D GLS identifies systolic dysfunction. The tight control of glycemia, lipidemia, blood pressure and body weight is associated with the absence of poor clinical outcomes.

Keywords:

Subject: Medicine and Pharmacology - Cardiac and Cardiovascular Systems

1. Introduction

One of the most common complications of diabetes is heart failure (HF). Diabetic cardiomyopathy (DCM) is considered to be a carrier of the link between diabetes and HF. Its generally accepted definition is structural and functional disorders of the myocardium, which are based not on known risk factors for cardiovascular diseases (CVD), such as hypertension, dyslipidemia, and coronary artery or valvular disease, but on metabolic disorders associated with diabetes [1]. However, DCM still remains a clinical concept without its own code in the international classification of diseases. Diagnostic criteria specific for DCM, both ultrasound and laboratory, have not yet been worked out. It demonstrates the need to carry out further work in order not only to establish clear diagnostic criteria for DCM but also, in general, to deepen our understanding of the essence of diabetic cardiomyopathy especially in terms of development of heart failure. Our objective was to assess the long-term dynamics of subclinical LV dysfunction associated with T2D.

2. Materials and Methods

2.1. Study Population

A total of 120 patients with and without T2D of both sexes aged from 45 to 75 years (57.11±7.9 years) were recruited in the study in 2012-2013 after screening. Screening details, inclusion and non-inclusion criteria are described thoroughly in our previous publication [2]. In brief, the study included people who had no symptoms and/or history of severe somatic diseases and CVD, including hypertension of 2 and 3 degrees, without a history of acute cerebrovascular accident, coronary heart disease, peripheral artery disease, heart failure, heart defects, clinically significant disorders rhythm and conductivity of the heart. Patients with poor echocardiography image quality were also excluded from the analysis.

Recruitment of patients for the second phase of the study took place in 2020-2021. This time coincided with the peak of the coronavirus pandemic. In this regard, only 57 patients accepted the invitation to participate in the follow-up study. They were divided into two groups: one with T2D, the other without it, control.

2.2. Study Protocol

At the first stage of the study, all patients underwent a complete physical examination with measurement of waist circumference, height, weight, and calculation of body mass index (BMI). They were interviewed to establish clinical characteristics and data on used medications including antihypertensive and anti-diabetic. Blood pressure (BP) was taken as the average of three measurements, and an electrocardiogram (ECG) was recorded. Fasting blood samples were obtained to assess clinical and biochemical tests, lipid profile, electrolytes and renal function to determine the levels of high sensitive C-reactive protein (hsCRP) and NT-proBNP, serum glucose, glycosylated haemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR). Treadmill testing was performed to assess silent ischemia and tolerance to physical activity using the BRUCE protocol and treadmill metabolic equivalents (METs). Risk factors for cardiovascular complications, such as gender, age, dyslipidemia, arterial hypertension, excess body weight, and smoking were also assessed. All patients who met the inclusion and exclusion criteria underwent transthoracic echocardiography followed by analysis of myocardial motion in various planes using speckle-tracking echocardiography (STE). In the second stage of the study, patients underwent exactly the same measures. The primary end point in this study was the dynamics of functional parameters of the heart according to conventional and speckle-tracking echocardiography over the seven-year follow-up. The study protocol was approved by the local institutional review board. The written informed consent was obtained from all participants.

2.3. Standard Echocardiography

Both initial and repeat echocardiographic studies were performed using the same commercially available echocardiography system (Philips IE-33, Netherlands) and, importantly, by the same experienced sonographer. A 3.5 MHz probe was used to obtain images that were digitally stored in cine-loop format. Interventricular septal dimension at end-diastole (IVSd), relative wall thickness (RWT), left ventricular mass index (LVMI), and Indexed left atrial volume were measured. LV systolic function was assessed by measurement of 2-dimensional ejection fraction from apical four and two-chamber views using the modified Simpson’s biplane method. To diagnose diastolic dysfunction, we used the transmitral flow and tissue Dopplerography. The E/A ratio of peaks velocities in early diastole (E-wave) and late diastole (A-wave) was calculated. Pulsed wave tissue Doppler imaging was used to measure the early diastolic velocity (e′) with the sample volume placed at the septum annulus of mitral valve. In addition, the E/e′ ratio was calculated as an estimation of LV filling pressure. The working definitions were based on the criteria of the American and European Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography [3].

2.4. Speckle-Tracking Echocardiography

Global longitudinal strain (GLS) was measured in the 3 standard apical views in B-mode with increasing gray scale gradation at a frequency of 60-80 frames per second. In each position, 3 consecutive cardiac cycles were recorded at the end of expiration while holding the breath and stored for later analysis. In the apical 3-chamber view the operator set the timing of closure of the aortic and mitral valves. Calculation of myocardial deformation was triggered by the R wave on the ECG. The time from the peak of the R wave to the closure of the aortic valves was calculated automatically. The endocardial border was traced manually. The resulting images were subsequently processed on a QLAB workstation (Advanced Ultrasound Quantification Software Release 8.1.2, Philips). The strain values of all LV segments were averaged and reported as GLS (%). The reduction in the GLS level was taken as the value specified by the manufacturer for this workstation and amounted to <-18% in absolute value [4,5].

2.5. Statistical Analysis

Statistical analysis of the data was carried out using the SPSS Statistics 26 software package. The one-sample Kolmogorov-Smirnov test was used to check the distribution for normality. Descriptive statistics for normally distributed continuous variables are presented as the mean (

\pm

standard deviation). Non-normally distributed data was expressed as the median (Me) and interquartile range (IQR): 25th and 75th percentiles. Categorical variables were reported as count and percentage. Depending on the type of distribution of quantitative variables, the Student t-test or the Mann-Whitney U test was used to compare 2 independent groups. Qualitative variables were compared using the χ2 test and two-sided Fisher's exact test. Depending on the type of distribution of quantitative variables, the t-test or Wilcoxon test was used to compare 2 related samples; qualitative variables of 2 related samples were assessed using the McNemar test.

The visualisation of the incidence of diastolic disfunction (DD) and decreased GLS depending on the presence of T2D was carried out by constructing Kaplan-Meier curves. The curves were compared using the Mantel-Cox log-rank test. To assess the role of T2D in relation to the development of DD and reduction of GLS, a multivariate analysis was performed using the logistic regression method. In addition to DM, the multivariate analysis included all potential risk factors for the development of DD and systolic dysfunction for which, according to the results of univariate analysis, significant (p<0.05) or close to significant (p<0.1) differences between groups were obtained. When constructing the model, the method of step-by-step elimination of Wald variables was used. Factors with a p value <0.05 were selected as independent predictors from the final model. The results of multivariate analysis are presented as odds ratio (OR) and 95% confidence interval (95% CI). The significance of differences for all tested hypotheses was set at p<0.05.

3. Results

3.1. Clinical Characteristics of Patients Included in The Study over Follow-Up

Clinical characteristics of 57 patients included in the final analysis are presented in Table 1. Their mean age at recruitment was 57.1±7.9 years, and 55% of subjects were men. They were divided into two groups: the first group consisted of patients with type 2 diabetes mellitus (n = 29), the second group included patients without it, controls (n = 28). The groups were comparable by age and gender. Overall, the patients were overweight. Patients with T2D had higher body weight compared to the control group but not more than 1st degree obesity. All participants had systolic blood pressure within the target values. Moreover, patients with T2D more often than patients in the control group took angiotensin-converting enzyme inhibitors and statins. The groups did not differ in the presence and number of risk factors for coronary heart disease (arterial hypertension, dyslipidemia, obesity, smoking). There were also no statistically significant differences in exercise capacity (mean 6.3 ± 1.9 METs in the control group and 6.0 ± 2.0 METs in the T2D group; p = 0.65). In patients with T2D at the time of inclusion in the study, the average duration of the disease was 3.3±2.4 years. The patients did not have diabetic complications at the time of the study.

3.2. Echocardiography

On study entry, slightly more than half of the patients with T2D (53%) and a third of control patients (32%) had LVD detected by echocardiography. The numbers of participants with abnormal systolic, diastolic and LV geometry parameters are shown in Table 2. This table also provides a comparison of echocardiographic parameters over a 7-year follow-up period in two groups depending on the presence T2D. Among the patients with T2D there was a statistically significant increase in the thickness of the interventricular septum and the posterior wall of the LV (an increase was observed in 55.6% and 56%; p = 0.046 and p = 0.03, respectively), as well as the relative wall thickness (an increase was detected in 75%; p = 0.06). A significant increase in the incidence of concentric hypertrophy in patients with T2D was revealed (from 21% to 53%; p = 0.025). In the absence of T2D, changes in these parameters were statistically insignificant.

LVD, left ventricular disfunction; LV, left ventricule; LA, left atrium; IVS, interventricular septum; E, early diastolic transmitral flow velocity; A, late diastolic transmitral flow velocity; e', early diastolic tissue velocity; GLS, global longitudinal strain.

Diastolic parameters indicated a mildly impaired LV relaxation. In patients with T2D, compared with the control group, the following statistically significant results were revealed: a lower value of the E/A ratio (p <0.001), a higher value of IVRT and DT (p<0.001; p<0.001, respectively), as well as E/e' (p<0.001). When assessing LV systolic function by EF, no disturbances were detected in any of the study participants. Regarding GLS, the T2DM group showed a statistically significant lower strain value compared to the control group (p=0.03).

During the observation period, a statistically significant increase in the frequency of asymptomatic LVD in the T2D group was found from 53% to 61% (p = 0.004); there was no significant increase in the control group (p=0.48). Figure 1 presents the results of comparison of myocardial diastolic function over time depending on the presence of T2D. In accordance with the data obtained, among 29 patients with T2D, 16 (56%) showed a statistically significant decrease in E/A (p = 0.03) (Figure 1A) and an increase in DT (p = 0.04) (Figure 1B). 18 patients (61%) had a decrease in e' (p = 0.03) (Figure 1C), and 19 patients (67%) had an increase in E/e' (p = 0.02) (Figure 1D). In the absence of T2D, changes in these indicators were statistically insignificant.

On the subject of LV systolic function, EF was normal and did not have significant dynamics during follow-up in both groups. At the same time, the proportion of patients with a reduced GLS absolute level of less than -18% has increased in the T2D group from 45% to 72% (p = 0.036), in the control group there was no significant increase (p = 0.62).

To estimate the survival function of the time event of interest depending on the presence and absence of T2D, Kaplan-Meier curves were constructed. The events of interest were the development of diastolic (Figure 2) and systolic dysfunction in terms of decrease in the absolute value of GLS (Figure 3) over the observation period. The median period of development of DD in patients with T2D was 6.8±0.4 years (95% CI: 6.2-8.3), and in patients in the control group it was 7.5±0.5 years (95% CI: 6.7-8.8). The average time to develop GLS less than -18% in patients with T2D was 7.3±0.4 years (95% CI: 6.6-8.0), in the control group, it was 7.6±0.2 years (95% CI: 7.4 -7.9). Log-rank testing for significance between strata demonstrated that those with T2D had significantly shorter the event-free time than those without T2D for both DD and GLS (χ2 =4.86, p=0.030; Figure 2 and χ2 =6.81, p=0.009; Figure 3, respectively).

Considering various risk factors for the development of DD and using a multivariate logistic regression method, the following independent predictors were established: presence of T2D, increased fasting glucose levels, increased HOMA index (Figure 4). Independent predictors for the development of GLS less than -18% (in absolute value) according to the results of logistic regression are HOMA-index, hsCRP and obesity (Figure 5).

The mean follow-up duration was 7.2 [7.0–7.8] years. Over the follow-up, there was no statistically significant progression of hypertension, dyslipidemia, weight gain, obesity, smoking, and exercise capacity in both the T2D group and the control group. None of the patients developed cardiovascular complications. In patients with T2D, there was no increase in the incidence of microvascular complications (diabetic polyneuropathy, nephropathy and retinopathy). All patients had no clinical signs of heart failure.

When assessing the dynamics of laboratory parameters in patients with T2D, the following results were obtained: the proportion of patients with elevated HbA1c levels decreased from 67% to 47% (p = 0.03), but no statistically significant changes in fasting glycemia occurred. Insulin levels increased in 79% of patients (p=0.005), and the HOMA index in 79% (p=0.006). The level of NT-proBNP increased by 68.4 (p=0,004). A decrease in hsCRP levels was also detected in 68% of patients with T2D (p=0.009). But the level of both markers remained within normal limits. In the control group, no statistically significant changes in laboratory parameters were detected.

4. Discussion

Usually, it is not easy to collect all participants for the second stage of a study after several years. In our study, this problem was exacerbated by the height of the COVID pandemic. Nevertheless, after analyzing the obtained results, we decided to publish them despite the small number of study participants. So, what can our study add to what is already known?

It is known that diabetes is associated with an increased risk of HF, and DCM refers to the abnormal structure and function of the heart associated with the metabolic disorders of diabetes in the absence of other leading cardiac factors such as hypertension, coronary heart disease and valvular heart disease. At the initial stage, DCM does not manifest itself clinically for quite a long time [6]. This makes its recognition difficult given the lack of specific diagnostic criteria. Depending on the used criteria, according to a large pooled epidemiological cohort study, the prevalence of DD varies widely (11.7–67%) [7]. A recent retrospective study in real-world clinical practice indicates that DCM affects a significant portion of T2D patients. About 16% of T2D patients with asymptomatic stage B of HF (SBHF) (3% of the entire T2D population) had “pure” DCM that is associated solely with T2D. The remaining 84% (at least 15% of the entire T2D population) had “mixed” SBHF that may result from the coexistence of T2D and other comorbidities, such as HTN and CAD [8].

Echocardiography is a foundation for assessment of myocardial structure and function. The main echocardiographic signs of a diabetic heart are: systolic, diastolic dysfunction and abnormal LV geometry [9]. Regarding LV geometry, the early stage of DCM is characterized by concentric LV hypertrophy with normal LV diameter and volume despite the fact that DCM was initially described as a dilated phenotype with eccentric remodeling and LV systolic dysfunction [10]. The estimated prevalence of LV hypertrophy is approximately 70% in adult patients with diabetes [11]. In our study, the most common type of LV myocardial remodeling was concentric hypertrophy: 22% in the T2D group compared with controls (12%, p=0.01). Moreover, during the observation period, the former experienced a significant increase in the proportion of patients with concentric hypertrophy to 53% (p = 0.025), while there was no significant increase in the control group.

The initial stage of DCM is characterized by a concentric phenotype with a predominance of diastolic dysfunction. According to a large systematic review with meta-analysis by Bouthorn S. et al., the pooled prevalence of DD in men and women with T2D in the hospital population was 48% (95% CI: 38-59%), and it was 35% (95% CI: 24-46%) in the overall population. Heterogeneity of the results associated with different diagnostic criteria across studies was high in both populations, with estimates ranging from 19% to 81% in the hospital population and from 23% to 54% in the general population [12]. As a result, Grigorescu E.D. et al., having compared studies with different approaches to determining DD, found that the 2016 European Society of Cardiology definition of DD [13] is more effective not only for selecting “undetected” cases of DD among patients with T2D, but also for predicting severe cardiovascular events (using the E/e' ratio >14) in patients with established DD [14]. In the present study, this algorithm was used based on tissue Doppler parameters in combination with indexed definition of the left atrium and the peak velocity of tricuspid regurgitation. Initially, the DD (delayed relaxation) was present in 53% of patients with T2D and 32% without diabetes [2]. Over a 7-year follow-up, the presence of T2D statistically significantly increased this prevalence to 61% (p=0,004) regardless of age, HTN, dyslipidemia, and obesity. At the same time, the diastole disturbance remained at the level of 1st degree, that is, delayed relaxation. There were no statistically significant changes of diastolic function in the control group.

As for the systolic function, with normal LVEF, an advanced echocardiographic technique with tracking the trajectory of myocardial acoustic markers (speckles) during the cardiac cycle was used to diagnose more subtle disorders. It seems more accurate in the modern era of precision medicine. It is also especially in demand, given that the current time is marked by the predominance of HFpEF, in which EF has no prognostic value [15]. The most robust and reproducible parameter of myocardial strain is GLS. It reflects the percentage change in the length of the heart muscle during the cardiac cycle. A negative value of this parameter indicates systolic shortening of the myocardium, and a higher absolute value indicates a better LV systolic function. GLS serves as a reliable parameter for assessing systolic function of the LV myocardium in HFpEF [16,17] including patients with T2D [18,19]. In addition, it was demonstrated prognostic significance of GLS, reduction of which was independently associated with adverse long-term, 10-year outcomes in asymptomatic patients with T2D [20]. In our prior study, speckle-tracking analysis has showed significant differences between diabetes and control groups [2]. Over the 7-year follow-up, the proportion of patients with a reduced absolute level of GLS has increased in the T2D group from 45% to 72% (p = 0.036), meanwhile there was no significant increase (p = 0.62) in the control group.

Using Kaplan-Meier curves, we demonstrated that the presence of T2D statistically significantly shortens the life without developing or worsening LVD, both diastolic function and GLS. In a multivariate regression analysis, independent predictors of the development of DD were not only the presence of T2D, but also indicators of carbohydrate metabolism disorders (fasting glucose, glycated hemoglobin and HOMA index) and inflammation (hsC-reactive protein). Along with the HOMA index and hsCRP, obesity was found to be an independent predictor of the development of GLS. The full pathogenesis of DCM remains unclear to this day. It is clear that the main triggers for its development are hyperglycemia and insulin resistance. Among the many pathogenetic mechanisms underlying the functional and structural abnormalities of the diabetic heart, inflammation plays a significant role [21,22]. As a result, the data we obtained on the independent relationship of DCM with indicators of glycemia, insulin resistance, and inflammation confirm the basic postulates of the pathogenesis of diabetic cardiomyopathy.

Given the high prevalence of subclinical HF in diabetes, as well as the lack of specific diagnostic criteria for DCM, the American Diabetes Association proposes using the Universal Definition of HF criteria both echocardiographic and laboratory [23]. Their consensus document recommends testing natriuretic peptides or high-sensitivity cardiac troponin in diabetes at least once a year to diagnose subclinical HF and assess its risk of progression to clinical HF. Based on the results of population and clinical studies, they recommend considering the threshold values of biomarkers for HF as the cut-off points for DCM: BNP - 50 pg/ml, NT-proBNP - 125 pg/ml, high-sensitivity cardiac troponin - >99th percentile [1].

But, this recommendation does not seem to be flawless: the use of BNP for the diagnosis of DCM, especially subclinical, is problematic. There is increasing evidence of normal levels of natriuretic peptide in the blood in a significant proportion of patients with HFpEF [24,25,26], which does not equate to the absence of HF. It is noteworthy that the title of the editorial for one of these papers contained a mnemonic phrase with an alternative decoding of the abbreviation: BNP – Biomarker Not Perfect [27]. In the prior work of our group, we studied the relationship of structural and functional changes in the myocardium with blood biomarkers in asymptomatic patients with T2D and also assessed the possibility of using of BNP levels as a diagnostic criterion for DCM. We solved the first task by obtaining clear associations. As for second task, the insufficient level of increase of blood NT-proBNP, within the reference values (68 pg/ml [35–108]), also demonstrated the “imperfection” of natriuretic peptides, which means the ineffectiveness of its use in the diagnosis of subclinical LVD in T2D [28].

However, this biomarker should not be completely discounted, because it can be used to identify the degree of structural and functional cardiac disorders in patients with T2D. We suppose that low levels of NT-proBNP indicate an earlier subclinical stage of DCM, characterized by initial signs of diastolic dysfunction (delayed LV relaxation), a slight decrease in GLP, and initial remodelling of the LV myocardium by type of concentric hypertrophy. Over the 7-year follow-up, the level of NT-proBNP increased statistically significantly only in the T2D group and not in the control group. This increase in the level of NT-proBNP correlates with a deterioration in DD parameters, a decrease in GLS, and LV remodeling of the concentric hypertrophy type. Thus, the increase in the levels of NT-proBNP occurred within the reference values and this correlated with the worsening of LVD, it is important to note, within the subclinical dysfunction range. In contrast, in the study of Dal Canto et al., it was demonstrated that high levels of natriuretic peptides corresponded to more advanced HFpEF with greater LV myocardial stiffness due to more severe myocardial extracellular matrix remodeling as assessed by echocardiography and cardiac magnetic resonance imaging [29].

It is clear that there is no clarity regarding the diagnosis and prevalence of DCM. However, there is even less uncertainty regarding its prognostic value due to the few prospective long-term studies. The first study in asymptomatic patients with T2D over a 10-year follow-up demonstrates poor prognosis associated with subclinical LV dysfunction measured by GLS. The primary endpoints for this study were all-cause mortality and hospitalisation [17].

In our study, we did not obtain any so-called hard endpoints including overt heart failure. We assessed the results using surrogate points, the dynamics of myocardial function (DD and GLS). We obtained significant negative dynamics of these indicators in the group of patients with T2D compared with people without it. However, none of the study participants progressed to the clinically manifested stage of HF over a 7-year follow-up. We attribute this to two reasons. The first, perhaps, is due to the fact that the study included people with uncomplicated T2DM and normal blood levels of NT-proBNP without clinical manifestations of CVD and/or stage II-III obesity. Moreover, it can be assumed that the “healthiest” subjects responded to the offer to participate in the repeat study. Therefore, patients who refused and were lost to the study were “less healthy” and could have poor clinical outcomes, even death. However, this information is unknown to us. Another reason for the lack of poor clinical outcomes is that all patients in the repeat study were under close medical supervision. They received recommendations on a healthy lifestyle, proper nutrition, and physical activity. They had adequate antihypertensive, antihyperglycemic, and lipid-lowering therapy. According to the results of the 2nd point, patients with T2D showed a significant decrease in the level of glycated hemoglobin. Also, participants in the stage 2 of the study did not have a significant increase in body weight, nor a decrease in exercise tolerance. This allows us to conclude that proper control of cardiovascular risk factors, including good control of glycemia, weight, blood pressure and lipidemia, can avoid adverse outcomes over a 7-year follow-up.

Prospective trials are necessary not only to study the prognostic value of DCM, but also to solve one of its essential issues, which remains unclear. Do its two main phenotypes, restrictive and dilated, represent two separate diseases or an evolution of the same thing? Today, the second version seems more plausible. Indeed, initially, DCM proceeds according to the first type corresponding to HFpEF, and subsequently, due to the addition of complications, e.g. coronary heart disease and myocardial infarction, the second dilated type of DCM develops corresponding to HFrEF. Initial DCM thus represents a transitional phenotype prior to the onset of symptomatic HF. In this regard, it seems quite accurate to divide DCM into “pure” (early) and “mixed” (later, with concomitant diseases and complications) [7]. We were unable to contribute to the resolution of this issue since we did not obtain a single hard endpoint, including the development of overt HF due to dilated DCM. However, we understand that asymptomatic DCM is not a benign harmless condition given its transition to symptomatic HF. Without early recognition of DCM, it is not possible to stop or at least delay this transition. Early diagnosis of DCM should be carried out not only by standard echo, but also by the assessing of the longitudinal strain of the LV myocardium in terms of GLS.

5. Study limitations

The main serious limitation of our single-center study is the small number of participants. Further prospective multi-center studies with larger patient populations will be needed to assess not only our findings, but also other unclear issues in the development of heart failure in diabetes.

6. Conclusions

T2D is an independent risk factor for the subclinical LVD in asymptomatic patients without CVD over 7-year follow-up. Statistically significant worsening of LVD was represented by (1) 1st degree diastolic dysfunction, (2) systolic dysfunction, with preserved LVEF, in terms lower global longitudinal strain (GLS) and (3) LV myocardial remodeling in the form of concentric hypertrophy. It was demonstrated by a group of patients with T2D compared with a control group without it and remained subclinical over the entire observation period. In the absence of obvious signs of HF, early diagnosis of DCM should include not only standard, but also speckle-tracking echocardiography. In the absence of specific targeted prevention of HF in diabetes at present, the tight control of glycemia, weight, blood pressure, and lipidemia may delay the transition from subclinical to overt HF and become the main therapeutic goals for preventing poor long-term outcomes associated with diabetic heart disease.

Author Contributions

DUA contributed to the conceptualisation, design, data analysis, manuscript drafting and final approval; TGU performed investigation process, data collection, formal analysis; data analysis, review and editing, OND; conceptualisation, design, funding acquisition, project administration, review and editing, OMD. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Ethics Committee of National Medical Research Center for Therapy and Preventive Medicine of the Ministry of Healthсare of the Russian Federation (protocol code 02-01/14, date of approval 02/25/2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data will be made available upon request.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. A comparison of diastolic disfunction at baseline (visit 1) and over 7-year follow-up (visit 2) according to presence (red box) or absence of T2D (blue box). Bar charts represent: A - E/A value; B - Deceleration Time, ms; C – e', cm/s; D – E/e' value. Numeric data reported in the figure are median and interquartile range. Nonsignificant dynamics are noted in patients without T2D.

Figure 2. Differences in survival without diastolic disfunction between two groups depending on the presence and absence of T2D. Kaplan-Meier curves show event-free survival in years. It is longer in patients without T2D than those with T2D.

Figure 3. Differences in survival without the decrease of left ventricular GLS (in absolute value) between two groups depending on the presence and absence of T2D. Kaplan-Meier curves show event-free survival in years. It is longer in patients without T2D than those with T2D.

Figure 4. Multivariate logistic regression analysis for assessment of the risk of development diastolic disfunction LV. Forest plot of Odds Ratios for independent predictors. HbA1, glycated hemoglobin; hsCRP, high sensitive C-reactive protein; T2D, type 2 diabetes.

Figure 5. Multivariate logistic regression analysis for assessment of the risk of development the decrease of left ventricular GLS (in absolute value). Forest plot of Odds Ratios for independent predictors. hsCRP, high sensitive C-reactive protein.

Table 1. Clinical characteristics of the Study Participants after 7 years of follow-up according to diabetic status.

Variable	Patients with T2D (n=29)	Patients without T2D (n=28)	p value
Sex м, n (%)	13 (46,0)	12 (45,0)	0,14
Age, years, Me [IQR]	68 [58-74]	60[55-63]	0,81
Body mass index, kg/m², Me [IQR]	28 [27-33]	27 [21-28]	0,05
Obesity 1-degree, n (%)	13 (44,8)	3 (11,0)	0,08
Exercise capacity (METs)	6,0 ± 1,9	6,2 ± 2,0	0,59
Current smoker, n (%)	15 (52,0)	16 (57,0)	0,35
Creatinine, µmol/l, Me [IQR]	87 [70-91]	74 [68-94]	0,89
Cholesterol, mmol/l, Me [IQR]	4,4 [4,1-5,4]	5,6 [5,0-6,1]	0,003
Low-density lipoprotein-cholesterol, mmol/l, Me [IQR]	2,6 [1,6-3,3]	3,6 [2,9-4,1]	0,009
High-density lipoprotein-cholesterol, mmol/l, Me [IQR]	1,3 [1,2-1,4]	1,5 [1,3-1,9]	0,025
Triglycerides, mmol/l, Me [IQR]	1,7 [0,9-2,4]	1,0 [0,7-1,3]	0,085
Increase in TG, n (%)	10 (50,0)	17 (89,5)	0,017
Presence of dyslipidemia, n (%)	25 (68,8)	16 (73,7)	0,53
C-reactive protein, ml/l, Me [IQR]	1,7 [1,1-2,57]	1,22 [0,66-3,01]	0,75
Increase in CRP, n (%)	3 (11,0)	0	0,63
Fibrinogen, g/l, Me [IQR]	4[3,1-5,8]	3[2,6-3.9]	0,12
Increase in fibrinogen, n (%)	5 (18,0)	1 (4,0)	0,034
NT-proBNP, pg/ml, Me [IQR]	104 [60-121]	90 [52-116]	0,8
Increase in NT-proBNP, n (%)	5 (18,0)	6 (21,0)	0,851
Fasting plasma glucose, mmol/l, Me [IQR]	8,23 [6,75-10,5]	5,6 [4,7-6,3]	<0,001
Glycated hemoglobin, %, Me [IQR]	6,5 [6,0-7,2]	5,3 [5,1-5,7]	<0,001
Insulin, µU/ml, Me [IQR]	13,6 [8-22,3]	8,0 [5,7-11,0]	0,007
C-peptide, ng/ml, Me [IQR]	2,74 [2,05-3,75]	1,66 [1,5-2,3]	0,013
NOMA Index, Me [IQR]	6 [3-9]	2 [1-3]	<0,001
Availability of IR, n (%)	25 (87,5)	9 (32,0)	0,004

Values are given as n (%), median [interquartile range, 25th percentile to 75th percentile] or mean±.

Table 2. Structural and functional echocardiographic parameters at baseline and after 7 years of follow-up according to diabetic status.

Variable	Patients with T2D		p value	Patients without T2D		p value
	Visit 1	Visit 2		Visit 1	Visit 2
LVD, n (%)	27 (53)	18 (61)	0,004*	28 (39)	9 (32)	0,48
LV mass index, g/m2	95 [84,1-110]	90,5 [82,0-110,5]	0,49	84,8 [73-98,3]	88,0 [84,0-100,0]	0,84
LA volume index, ml/m2	27,0 [24,2-31,1]	26,5 [23,2-33,0]	0,63	26 [23,9-27,8]	25,0 [21,0-33,0]	0,66
IVS in diastole, cm	1,2 [1,1-1,2]	1,25 [1,15-1,4]	0,046	1,0 [1,0-1,2]	1,2 [1,0-1,2]	0,06
Posterior Wall thickness, cm	1,0 [1,0-1,0]	1,1 [1,0-1,15]	0,007	0,93 [0,9-1,0]	0,9 [0,9-1,0]	0,53
Relative Wall Thickness	0,44 [0,41-0,48]	0,49 [0,45-0,53]	0,06	0,43 [0,41-0,46]	0,45 [0,43-0,49]	0,58
Сoncentric Hypertrophy, n (%)	41 (22)	15 (53)	0,025	26 (12)	5 (16)	0,15
Сoncentric Remodeling, n (%)	28 (15)	12 (42)	0,063	33 (16)	6 (20)	0,65
Transmitral Е/А ratio	0,8 [0,7-0,9]	0,7 [0,6-0,9]	0,03 *	1,1 [0,9-1,2]	1,2 [0,7-1,3]	0,15
Isovolumic relaxation time, ms	91 [87-96]	83 [72-99]	0,49	77 [70-88]	74[67-95]	0,83
Deceleraton time, ms	218 [187-232]	226 [191-277]	0,05*	181 [169-203]	183 [169-229]	0,53
Average (med/lat) e', cm/s	8,7 [7,1-9,6]	6,7 [5,6-8,7]	0,034 *	10,2 [8,3-13,6]	9,0 [8,0-12,6]	0,059
E/e'	7,2 [6,4-8,5]	8,7 [7,9-11,1]	0,017*	6,4 [5,4-7,6]	7,0 [5,6-8,8]	0,42
Ejection Fraction, %	60 [59-62]	65 [58-79]	0,088	64 [61-66]	67 [60-71]	0,48
GLS, %	-17,6 ±1,4	-17,2 ±1,24	0,008*	-19,6 ±1,8	-19,6 ±1,8	0,26

Values are given as n (%), median [interquartile range, 25th percentile to 75th percentile] or mean±SD.

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