Assessment of Specific Biomarkers' Profile and Structural, Functional Parameters of the Left Ventricle in Patients With Lymphomas Undergoing Antitumor Therapy.

AIM: To evaluate the dynamics of specific biomarkers for cardiotoxicity, endothelial dysfunction, fibrosis, systemic inflammation, and morpho-functional alterations in the left ventricular (LV) myocardium in patients with newly diagnosed lymphomas during 6 courses of polychemotherapy (PCT). MATERIAL AND METHODS: The study included 30 patients with newly diagnosed lymphomas. All patients were evaluated for laboratory markers of cardiotoxicity at baseline and after 6 courses of chemotherapy (6 months), including N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin I (hsTnI), endothelin-1 (ET-1), circulating cardiac biomarker ST-2, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and LV structural and functional echocardiographic (EchoCG) parameters. RESULTS: The changes in NT-proBNP and hsTnI concentrations during 6 courses of PCT were not statistically significant. Comparison of the baseline values with those after 6 courses of PCT showed increases in the median concentrations of ET-1 (3.38 and 5.5 pg/ml, respectively; p=0.438) and ST-2 (12.21 and 26.75 ng/ml, respectively; p=0.687). Markers of systemic inflammation were significantly decreased after 6 courses of PCT: the median CRP decreased from 15.2 to 0.72 mg/ml (p=0.006), and the median IL-6 decreased from 12.2 to 5.1 pg/ml (p=0.034). EchoCG data revealed a statistically significant impairment of the LV diastolic function parameters (E/A; E/e' lateral; E/e' average; left atrial volume index; isovolumic relaxation time). A moderate direct correlation was found between the ET-1 concentration and the isovolumic relaxation time at baseline and after 6 courses of PCT, respectively (r1 = 0.387, p=0.047 and r2 = 0.391, p=0.035). No changes in the LV systolic function were observed. CONCLUSION: The study showed that patients with lymphoproliferative diseases had no signs of cardiotoxicity during PCT according to the accepted criteria. This study described and highlighted for the first time the interrelation of endothelial dysfunction, profibrotic status, and LV diastolic dysfunction as manifestations of cardiovascular toxicity in patients with lymphoproliferative diseases. It is advisable to supplement the integrated strategies for the prevention and monitoring of PCT cardiovascular toxicity with a thorough evaluation of instrumental parameters of diastolic dysfunction for timely initiation/correction of cardioprotective therapy.

Effect of ertugliflozin on left ventricular function in type 2 diabetes and pre-heart failure: the Ertu-GLS randomized clinical trial.

BACKGROUND: The therapeutic effects of ertugliflozin, a sodium-glucose cotransporter 2 inhibitor, on cardiovascular outcome are not fully understood. This study aimed to evaluate the efficacy and safety of ertugliflozin on cardiac function in people with type 2 diabetes and pre-heart failure. METHODS: We conducted a 24-week randomized, double-blind, placebo-controlled trial involving individuals with type 2 diabetes inadequately controlled with antidiabetic medications. Participants with left ventricular hypertrophy, E/e' >15, or impaired left ventricular global longitudinal strain (LVGLS) were randomized 1:1 to receive either ertugliflozin (5 mg once daily) or a placebo. The primary outcome was the change in LVGLS. Secondary outcomes included changes in left ventricular mass index (LVMI) and left ventricular ejection fraction (LVEF). Prespecified exploratory outcomes, including angiotensin-converting enzyme 2 (ACE2) and angiotensin (1-7) levels, were also assessed. RESULTS: A total of 102 individuals (mean age, 63.9 ± 9.2 years; 38% women) were included. The ertugliflozin group showed a significant improvement in LVGLS (- 15.5 ± 3.1% to - 16.6 ± 2.8%, P = 0.004) compared to the placebo group (- 16.7 ± 2.7% to - 16.4 ± 2.6%, P = 0.509), with a significant between-group difference (P = 0.013). Improvements in LVMI and LVEF were also observed. Additionally, significant reductions in HbA1c, systolic blood pressure, whole-body and visceral fat, uric acid, proteinuria, N-terminal pro-B-type natriuretic peptide, and lipoprotein(a) were noted. ACE2 and angiotensin (1-7) levels significantly increased in the ertugliflozin group compared to the placebo group and correlated with changes in LVGLS [r = 0.456, P < 0.001 for ACE2; r = 0.541, P < 0.001 for angiotensin (1-7)]. Adverse events were similar between the two groups. CONCLUSIONS: This study demonstrated that ertugliflozin has beneficial effects on left ventricular function in individuals with type 2 diabetes and pre-heart failure, and it provided insights into potential underlying mechanisms. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03717194.

Stylet-driven leads compared with lumenless leads for left bundle branch area pacing: a systematic review and meta-analysis.

OBJECTIVE: Left bundle branch area pacing (LBBAP) is a novel physiological pacing method for treating left ventricular dyssynchrony. LBBAP is often delivered using lumenless leads (LLL). However, recent studies have also reported the use of style-driven leads (SDL). This study is the first systematic review comparing the outcomes of LBBAP with SDL vs. LLL. METHODS: The review and meta-analysis included all available comparative studies published on Embase, PubMed, Web of Science, CENTRAL, and Scopus up to 6th March 2024. RESULTS: Eight observational studies were included in the review. Meta-analysis showed that success rates of LBBAP performed with LLL and SDL were comparable (OR: 1.72 95% CI: 0.94, 3.17 I2 = 38%). Duration of implantation and total procedural duration were significantly lower in LBBAP performed with SDL. The pacing threshold was significantly higher, while pacing impedance was significantly lower in the SDL compared to the LLL group. Pacing QRS interval, R-wave amplitude, and stimulus to peak left ventricular activation time were similar in the two groups. Intra-operative and post-operative dislodgement were significantly higher in the SDL group, but no difference was noted in intra-operative perforation and pneumothorax risk. CONCLUSION: Limited evidence from observational studies with inherent selection bias shows that success rates for LBBAP may not differ between SDL and LLL. While implantation of SDL may be significantly faster, it carries a higher risk of lead dislodgement. Both SDL and LLL are associated with comparable pacing characteristics except for reduced pacing impedance with SDL.

Natriuretic peptides and soluble ST2 improves echocardiographic diagnosis of elevated left ventricular filling pressures.

Elevated filling pressure of the left ventricle (LV) defines diastolic dysfunction. The gold standard for diagnosis is represented by the measurement of LV end-diastolic pressure (LVEDP) during cardiac catheterization, but it has the disadvantage of being an invasive procedure. This study aimed to investigate the correlation between LVEDP and cardiac serum biomarkers such as natriuretic peptides (mid-regional pro-atrial natriuretic peptide [MR-proANP], B-type natriuretic peptide [BNP], and N-terminal prohormone BNP [NT-proBNP]), soluble ST2 (sST2), galectin-3 and mid-regional pro-adrenomedullin (MR-proAMD). Consecutive patients hospitalized in a tertiary center and undergoing left cardiac catheterization were included in the study. Diastolic dysfunction was considered present if the end-expiratory LVEDP was ≥ 15 mmHg. Cardiac biomarkers were determined from pre-procedural peripheral venous blood samples. A total of 110 patients were included, of whom 76 (69.0%) were males, with a median age of 65 (55-71) years. Median LVEDP was 13.5 (8-19) mmHg and diastolic dysfunction was present in 50 (45.4%) of the patients. LVEDP correlated with BNP (p < 0.0001, r = 0.39 [0.20-0.53]), NT-proBNP (p < 0.0001, r = 0.40 [0.22-0.55]), MR-proANP (p = 0.001, r = 0.30 [0.11-0.46]), sST2 (p < 0.0001, r = 0.47 [0.30-0.60]), but not with MR-proAMD (p = 0.77) or galectin-3 (p = 0.76). In the final stepwise multivariable binary logistic regression model, diastolic dysfunction was predicted by NT-proBNP, mitral average E/e', sST2, atrial fibrillation, and left atrium reservoir strain. BNP, NT-proBNP, MR-proANP, and sST2 had predictive value for diastolic dysfunction. In contrast, galectin-3 and MR-proAMD were not associated with increased filling pressures. Furthermore, NT-proBNP and sST2 significantly improved diastolic dysfunction prediction in the final multivariable model.

Evaluation of changes in the global longitudinal strain for left ventricular function before and after eight weeks of taking high dose of atorvastatin in patients with coronary slow flow phenomenon.

BACKGROUND: Coronary Slow Flow Phenomenon (CSFP) is a well-recognized clinical entity characterized by delayed opacification of coronary arteries in the presence of a normal coronary angiogram. The objective of this study was determined and compared left ventricle (LV)strain in patients with CSFP before and after receiving a high-dose atorvastatin. MATERIALS AND METHODS: This cross-sectional study was conducted on 51 patients with CSFP from the beginning of 2021 to the end of September 2022. Trans-thoracic Echocardiogram (TTE) was performed by an echocardiography specialist. Thereafter, the patient's basic information was entered into the researcher's checklist after treatment with atorvastatin 40 mg daily for eight consecutive weeks. After eight weeks, the patients were subjected again to TTE. The data were analyzed in SPSS statistical software. RESULTS: The mean LV-GLS before taking atorvastatin was - 16.53%±3.63%. The mean LV-GLS after taking atorvastatin was 17.57%±3.53% (P.value = 0.01). The mean LV function before taking atorvastatin was 48.82%±9.19%. Meanwhile, the mean LV function after taking atorvastatin was 50.59%±7.91% (P = 0.01). There was no significantly change in left atrium volume (49.88 ± 0.68 vs. 49.9 + 0.67) after 8 weeks taking atorvastatin (P = 0.884). CONCLUSION: The plasma ET-1 levels are elevated in CSFP patients, and atorvastatin improves coronary flow and endothelial function. As evidenced by the results of this study, the daily intake of 40 mg of oral atorvastatin during eight consecutive weeks in patients with CSFP significantly improved LV strain and LV function, however atorvastatin does not have a significant effect on improving the right ventricular function and pulmonary artery systolic pressure.

Management of Cancer Therapy-Related Cardiac Dysfunction: A Case-Based Review.

With an ever-expanding repertoire of cancer therapies, cardiologists increasingly encounter patients with cancer therapy-related cardiac dysfunction. This can range from asymptomatic mild left ventricular dysfunction to severe symptomatic congestive heart failure. A multidisciplinary approach involving oncologists and cardiologists is needed in the management of these patients. This case-based review provides a practical guide for clinicians regarding the diagnosis and management of cancer therapy-related cardiac dysfunction associated with commonly used cancer treatments: anthracyclines, human epidermal receptor 2-targeted therapies, and immune checkpoint inhibitors.

Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial.

Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual care or artificial intelligence (AI)-guided screening to assess its impact on the diagnosis left ventricular systolic dysfunction (LVSD) in the perinatal period. The study intervention included digital stethoscope recordings with point of-care AI predictions and a 12-lead electrocardiogram with asynchronous AI predictions for LVSD. The primary end point was identification of LVSD during the study period. In the intervention arm, the primary end point was defined as the number of identified participants with LVSD as determined by a positive AI screen, confirmed by echocardiography. In the control arm, this was the number of participants with clinical recognition and documentation of LVSD on echocardiography in keeping with current standard of care. Participants in the intervention arm had a confirmatory echocardiogram at baseline for AI model validation. A total of 1,232 (616 in each arm) participants were randomized and 1,195 participants (587 intervention arm and 608 control arm) completed the baseline visit at 6 hospitals in Nigeria between August 2022 and September 2023 with follow-up through May 2024. Using the AI-enabled digital stethoscope, the primary study end point was met with detection of 24 out of 587 (4.1%) versus 12 out of 608 (2.0%) patients with LVSD (intervention versus control odds ratio 2.12, 95% CI 1.05-4.27; P = 0.032). With the 12-lead AI-electrocardiogram model, the primary end point was detected in 20 out of 587 (3.4%) versus 12 out of 608 (2.0%) patients (odds ratio 1.75, 95% CI 0.85-3.62; P = 0.125). A similar direction of effect was observed in prespecified subgroup analysis. There were no serious adverse events related to study participation. In pregnant and postpartum women, AI-guided screening using a digital stethoscope improved the diagnosis of pregnancy-related cardiomyopathy. ClinicalTrials.gov registration: NCT05438576.

Serial evaluation of biventricular function in COVID-19 recovered patients using speckle tracking echocardiography.

OBJECTIVES: The persistence and outcomes following myocardial injury subsequent to coronavirus disease-2019 (COVID-19) infection has not been properly elucidated. We assessed sub-clinical bi-ventricular dysfunction using speckle tracking echocardiography (STE) in post COVID-19 patients. METHODS: A total of 189 subjects following recovery from COVID-19 infection were enrolled. Detailed echocardiography including STE along with clinical, hematological, biochemical and inflammatory parameters were assessed for all. Patients were divided into four groups (asymptomatic, mild, moderate and severe) based on severity of COVID-19 infection. Additionally, 90 healthy individuals were enrolled as controls. All these patients were followed up for one year following enrolment. RESULTS: Subclinical LV and right ventricle (RV) dysfunction were seen in 58 (30.7 %) and 55 (29.1 %) patients respectively at baseline. Significant difference was observed in mean LVGLS values among the three groups (mild: -21.5 ± 2.8 %; moderate: -17 ± 7.1 %; severe: -12.1 ± 4 %; P < 0.0001). Over a year of follow-up, significant improvement in LVGLS from baseline (-19.1 ± 5.8 %) was observed (-19.9 ± 4.6 %; P < 0.0001). Similarly, RVFWS (-23.5 ± 6.3 % vs -23.8 ± 5.8 %; P = 0.03) had significant improvement from baseline to one year of follow-up. Reduced LVGLS was reported in 12 (6.3 %) subjects while impaired RVFWS was documented in 10 (5.3 %) subjects at one year of follow-up. CONCLUSIONS: Subclinical LV and RV dysfunction were seen in nearly a third of recovered COVID-19 patients. Over a year of follow-up, significant improvement in subclinical LV and RV dysfunction was noted.

[The relevance of diastolic reserve of the left ventricle in patients with type 2 diabetes mellitus (literature review).]

Type 2 diabetes mellitus is one of the most common non-infectious diseases in the world. Among people with type 2 diabetes, patients of the older age group. An in understanding of the early cardiovascular manifestations of diabetes occupies an important place in international research and prevention programs, given that cardiac vascular complications are the cause of death in patients with diabetes. Recent studies evaluating left ventricular diastolic dysfunction as a characteristic predictor of diabetic cardiomyopathy by echocardiography. In accordance with the recommendations for diastolic dysfunction, have shown that the algorithm of the informative algorithm is used to determine left ventricular diastolic dysfunction in patients with prognosis in predicting cardiovascular complications.

Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electrocardiography (ECG) analysis model using limited ECG data. We pretrained Vision Transformer (ViT) models by reconstructing the masked ECG data with MAE. We fine-tuned this MAE-based ECG pretrained model on ECG-echocardiography data from The University of Tokyo Hospital (UTokyo) for the detection of left ventricular systolic dysfunction (LVSD), and then evaluated it using multi-center external validation data from seven institutions, employing the area under the receiver operating characteristic curve (AUROC) for assessment. We included 38,245 ECG-echocardiography pairs from UTokyo and 229,439 pairs from all institutions. The performances of MAE-based ECG models pretrained using ECG data from UTokyo were significantly higher than that of other Deep Neural Network models across all external validation cohorts (AUROC, 0.913-0.962 for LVSD, p < 0.001). Moreover, we also found improvements for the MAE-based ECG analysis model depending on the model capacity and the amount of training data. Additionally, the MAE-based ECG analysis model maintained high performance even on the ECG benchmark dataset (PTB-XL). Our proposed method developed high performance MAE-based ECG analysis models using limited ECG data.

Myocardial strain is regulated by cardiac preload in the early stage of sepsis.

BACKGROUND: Owing to a lack of data, this study aimed to explore the effect of cardiac preload on myocardial strain in patients with sepsis. METHODS: A total of 70 patients with sepsis in intensive care unit (ICU) of a tertiary teaching hospital in China from January 2018 to July 2019 and underwent transthoracic echocardiography were enrolled. Echocardiographic data were recorded at ICU admission and 24 h later. Patients were assigned to low left ventricular end-diastolic volume index (LVEDVI) and normal LVEDVI groups. We assessed the impact of preload on myocardial strain between the groups and analyzed the correlation of echocardiographic parameters under different preload conditions. RESULTS: Thirty-seven patients (53%) had a low LVEDVI and 33 (47%) a normal LVEDVI. Those in the low LVEDVI group had a faster heart rate (121.7 vs. 95.3, p < 0.001) and required a greater degree of fluid infusion (3.67 L vs. 2.62 L, P = 0.019). The left ventricular global strain (LVGLS) (-8.60% vs. -10.80%, p = 0.001), left ventricular global circumferential strain (LVGCS) (-13.83% vs. -18.26%, p = 0.006), and right ventricular global longitudinal strain (RVGLS) (-6.9% vs. -10.60%, p = 0.001) showed significant improvements in the low LVEDVI group after fluid resuscitation. However, fluid resuscitation resulted in a significantly increased cardiac afterload value (1172.00 vs. 1487.00, p = 0.009) only in the normal LVEDVI group. Multivariate backward linear regression showed that LVEDVI changes were independently associated with myocardial strain-related improvements during fluid resuscitation. The baseline LVEDVI was significantly negatively correlated with the LVGLS and RVGLS (r = -0.44 and - 0.39, respectively) but not LVGCS. LVEDVI increases during fluid resuscitation were associated with improvements in the myocardial strain degree. CONCLUSIONS: Myocardial strain alterations were significantly influenced by the cardiac preload during fluid resuscitation in sepsis.

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.

BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital heart disease (CHD). OBJECTIVES: The purpose of this study was to develop and externally validate an AI-ECG model to predict cardiovascular magnetic resonance (CMR)-defined biventricular dysfunction/dilation in patients with CHD. METHODS: We trained (80%) and tested (20%) a convolutional neural network on paired ECG-CMRs (≤30 days apart) from patients with and without CHD to detect left ventricular (LV) dysfunction (ejection fraction ≤40%), RV dysfunction (ejection fraction ≤35%), and LV and RV dilation (end-diastolic volume z-score ≥4). Performance was assessed during internal testing and external validation on an outside health care system using area under receiver-operating curve (AUROC) and area under precision recall curve. RESULTS: The internal and external cohorts comprised 8,584 ECG-CMR pairs (n = 4,941; median CMR age 20.7 years) and 909 ECG-CMR pairs (n = 746; median CMR age 25.4 years), respectively. Model performance was similar for internal testing (AUROC: LV dysfunction 0.87; LV dilation 0.86; RV dysfunction 0.88; RV dilation 0.81) and external validation (AUROC: LV dysfunction 0.89; LV dilation 0.83; RV dysfunction 0.82; RV dilation 0.80). Model performance was lowest in functionally single ventricle patients. Tetralogy of Fallot patients predicted to be at high risk of ventricular dysfunction had lower survival (P < 0.001). Model explainability via saliency mapping revealed that lateral precordial leads influence all outcome predictions, with high-risk features including QRS widening and T-wave inversions for RV dysfunction/dilation. CONCLUSIONS: AI-ECG shows promise to predict biventricular dysfunction/dilation, which may help inform CMR timing in CHD.

Predictive value of early-phase heart rate reduction for subsequent recovery of left ventricular systolic function in heart failure with reduced ejection fraction.

INTRODUCTION: Predictors of heart failure with recovered ejection fraction (HFrecEF) remain to be fully elucidated. This study investigated the impact of heart rate and its change on the recovery of left ventricular ejection fraction (LVEF) in heart failure with reduced ejection fraction (HFrEF). MATERIAL AND METHODS: From 398 outpatients who had a history of hospitalisation for heart failure, 138 subjects diagnosed as HFrEF (LVEF < 40%) on heart failure hospitalisation were enrolled and longitudinally surveyed. During follow-up periods more than one year, 64 and 46 patients were identified as HFrecEF (improved LVEF to ≥ 40% and its increase of ≥ 10 points) and persistent HFrEF, respectively. RESULTS: In the overall subjects, the reduction of heart rate through the observation periods was closely correlated with the improvement of LVEF (r = -0.508, p < 0.001). Heart rate on hospital admission for heart failure was markedly higher in patients with HFrecEF (112 ± 26 bpm) than in those with persistent HFrEF (90±18 bpm). Whereas heart rate at the first outpatient visit after discharge was already lower in the HFrecEF group (80 ± 13 vs. 85 ± 13 bpm in the persistent HFrEF group). A multivariate logistic regression analysis revealed that the decrease in heart rate from admission to the first visit after discharge was a significant determinant of HFrecEF (p < 0.001), independently of confounding factors such as ischemic heart disease and baseline LVEF and left ventricular dimension. CONCLUSIONS: Our findings suggest that heart rate reduction in the early phase after heart failure onset is a powerful independent predictor of the subsequent recovery of LVEF in HFrEF patients.

The influence of sex on heart failure mortality.

AIMS: Little research has investigated how sex may affect the prognosis of patients with chronic heart failure (HF). The present study was aimed at exploring sex-specific differences in prognosis in a cohort of patients with chronic HF, categorized according to severity of left ventricular dysfunction (HFrEF, HFmrEF and HFpEF), right ventricular (RV) dysfunction and ischemic (IHD) or nonischemic (no-IHD) etiology. METHODS: This retrospective analysis included 1640 HF patients of whom 24% were females, 759 patients had IHD, 1110 patients had HFrEF, 147 patients had HFmrEF and 383 patients had HFpEF. The median follow-up period was 63 months (25th-75th 27-93). RESULTS: In the no-IHD group, no statistically significant sex differences emerged regarding survival, regardless of age and severity of cardiac dysfunction. In contrast, in the IHD group, females had a significantly lower event rate than males in the age group between 65 and 79 years [hazard ratio (HR) 0.39; 95% confidence interval (CI): 0.86-0.18; P  < 0.01]; in addition, a lower event rate was observed in females compared with males among patients with HFrEF (HR 0.47; 95% CI: 0.88-0.25; P  < 0.01), among patients without RV dysfunction (HR 0.58; 95% CI: 1.02-0.33; P  = 0.048) and among patients without diabetes (HR 0.44; 95% CI: 0.84-0.23; P  < 0.01). CONCLUSION: In nonischemic patients there was no difference between males and females in terms of survival whereas in patients with ischemic etiology survival was better in females among elderly patients, in HFrEF patients, in the absence of RV dysfunction and in the absence of diabetes.

Left ventricular diastolic dysfunction in patients with heart failure with mildly reduced ejection fraction.

OBJECTIVE: This study investigates the prevalence and prognostic impact of diastolic dysfunction (DD) in patients hospitalized with heart failure (HF) with mildly reduced ejection fraction (HFmrEF) in sinus rhythm. BACKGROUND: Data regarding the prognostic impact of DD in patients with HFmrEF is limited. METHODS: From 2016 to 2022, all patients hospitalized with HFmrEF (i.e., left ventricular ejection fraction 41-49% and signs and/or symptoms of HF) were retrospectively included at one institution. Patients with DD were compared to patients without (i.e., non-DD), further risk stratification was performed according to the severity of DD. The primary endpoint was all-cause mortality at 30 months (interquartile range (IQR) 15-61 months), key secondary endpoint was rehospitalization for worsening HF. RESULTS: From a total of 1154 patients (median age 68 years, 68% males) hospitalized with HFmrEF, concomitant DD was present in 72% (grade I: 56%, grade II: 14%, grade III: 2%). Patients with DD were older (71 years vs. 65 years; p = 0.001) and presented with higher rates of cardiovascular comorbidities. The presence of DD was not associated with the risk of long-term all-cause mortality (adjusted HR = 0.815; 95% CI 0.612-1.085; p = 0.161) or HF-related rehospitalization (adjusted HR = 0.736; 95% CI 0.442-1.225; p = 0.238). Furthermore, the outcome did not differ in patients with more advanced stages of DD. CONCLUSION: DD is commonly prevalent in patients with HFmrEF, but not associated with long-term prognosis.

Left atrial stiffness index - an early marker of left ventricular diastolic dysfunction in patients with coronary heart disease.

AIMS: To evaluate the correlation between left atrial stiffness index (LASI) and left ventricular diastolic function in patients with coronary heart disease (CHD) by Autostrain LA technique. METHODS: This was a retrospective analysis that included a total of 82 CHD patients who had suitable image quality for left atrial strain measurement. According to the 2016 ASE/EACVI guidelines for the echocardiographic assessment of diastolic dysfunction, the patients were divided into three groups: normal left ventricular diastolic function group (n = 26), indeterminate left ventricular diastolic function (n = 36), and left ventricular diastolic dysfunction (LVDD) (n = 20). The left atrial conduit strain (LAScd), Left atrial contractile strain (LASct), left atrial reservoir strain (LASr) and its derived parameters, including LASI and left atrial filling index (LAFI), were compared among the three groups. Furthermore, we conduct a correlation analysis between LASI and left ventricular diastolic function in patients with CHD. RESULTS: LASr and LAScd in normal group were higher than those in indeterminate group, LASr and LAScd in indeterminate group were higher than those in LVDD group, LASI in normal group was lower than that in indeterminate group, and LASI in indeterminate group was lower than that in LVDD group (P < 0.001). LASct in both normal and indeterminate groups was higher than that in LVDD group (P < 0.05). The LAFI of normal group was lower than that of indeterminate group and LVDD group (P < 0.001). LASI was positively correlated with E/e'(r = 0.822) (P < 0.001). LASr and E/e' were negatively correlated (r = -0.637) (P < 0.001). CONCLUSION: LASI is closely related to the changes of left ventricular diastolic function in CHD patients.

Cardiac effects of direct anti-viral treatment in type II diabetic patients with hepatitis C infection.

BACKGROUND: The link between diabetes mellitus and chronic hepatitis C infection remains well established. It is estimated that up to one third of chronic hepatitis C patients have type II diabetes mellitus. Hepatitis C virus infection is one of the main global health burdens. Sofosbuvir and Daclatasvir are used as effective antiviral inhibitors of hepatitis C virus. The cardiovascular effects of those drugs are not well studied. We used electrocardiography and echocardiography with global longitudinal strain assessment by speckle tracking to detect their effect on cardiac function. METHODS AND RESULTS: One hundred diabetic patients with hepatitis C infection were included in the study. Abdominal ultrasound and laboratory work up were carried out for all participants. Left ventricular systolic and diastolic function were assessed by 2D-echocardiography and global longitudinal strain, before and 3 months after treatment. Results showed significant decrease in global longitudinal strain 3 months after therapy (-21 ± 4 vs. -18 ± 7; P < 0.001) but other echocardiographic findings showed no significant changes. CONCLUSIONS: Sofosbuvir and Daclatasvir were associated with early left ventricular systolic dysfunction as assessed by global longitudinal strain in diabetic patients. More deterioration in left ventricular systolic function was detected among those with Child-Pough class B. Further long-term follow-up may be required.

Left Atrial Strain for assessment of left ventricle diastolic dysfunction in acute coronary syndrome patients.

INTRODUCTION: Patients with acute coronary syndrome (ACS) have a high incidence of Left ventricle diastolic dysfunction (DD). Latest algorithms for the assessment of DD lay on 2D parameters and describe a grading to quantify its severity. However, there persists a "gray zone" of values in which DD remains indeterminate. AIM: to analyze the diagnostic value of Left atrium strain (LAS) for categorization of LV DD and assessment of LV filling pressures in ACS patients. METHODS: Cross-sectional study that prospectively evaluated 105 patients presenting ACS with preserved LV ejection fraction (LVEF). Patients were divided in 4 groups according to the DD grade. Mean values of LAS, corresponding to three phases of atrial function: reservoir (LASr), conduit (LAScd) and contraction (LASct), were obtained by speckle-tracking echocardiography. RESULTS: Mean age was 60±10 years, with a gender ratio of 6.14. LASr and LASct were significantly lower according to DD severity (p combined=0.021, p combined=0.034; respectively). E/e' ratio was negatively correlated to LASr (r= - 0.251; p= 0.022) and LASct (r= -0.197; p=0.077). Left atrial volume index (LAVI) was also negatively correlated to LASr (r= -0.294, p= 0.006) and LASct (r= -0.3049, p=0.005). Peak tricuspid regurgitation was negatively correlated to LASr (r=-0.323, p=0.017) and LASct (r=-0.319, p=0.020). Patients presenting elevated LV filling pressures had lower LASr and LASct (p=0.049, p=0.022, respectively) compared to patients witn normal LV filling pressures. ROC curve analysis showed that a LASr < 22% (Se= 75%, Sp= 73%) and a LASct < 13% (Se= 71%, Sp=58%) can increase the likelihood of DD grade II or III by 4.6 (OR= 4.6; 95% CI: 1.31-16.2; p=0.016) and 3.7 (OR= 3.7; 95% CI: 1.06-13.1; p= 0.047), respectively. CONCLUSION: LAS is a valuable tool, which can be used to categorize DD in ACS patients.

Anthracyclines, Diastolic Dysfunction and the road to Heart Failure in Cancer survivors: An untold story.

Many cardiovascular diseases are characterized by diastolic dysfunction, which associates with worse clinical outcomes like overall mortality and hospitalization for heart failure (HF). Diastolic dysfunction has also been suspected to represent an early manifestation of cardiotoxicity induced by cancer drugs, with most of the information deriving from patients treated with anthracyclines; however, the prognostic implications of diastolic dysfunction in the anthracycline-treated patient have remained poorly explored or neglected. Here the molecular, pathophysiologic and diagnostic aspects of anthracycline-related diastolic dysfunction are reviewed in the light of HF incidence and phenotype in cancer survivors. We describe that the trajectories of diastolic dysfunction toward HF are influenced by a constellation of patient- or treatment- related factors, such as comorbidities and exposure to other cardiotoxic drugs or treatments, but also by prospective novel opportunities to treat diastolic dysfunction. The importance of a research-oriented multidimensional approach to patient surveillance or treatment is discussed within the framework of what appears to be a distinct pathophysiologic entity that develops early during anthracycline treatment and gradually worsens over the years.

Cardiac function in congenital diaphragmatic hernia.

Cardiac function is known to play critical role in the pathophysiological progression and ultimate clinical outcome of patients with congenital diaphragmatic hernia (CDH). While often anatomically normal, the fetal and neonatal heart in CDH can suffer from both right and left ventricular dysfunction. Here we explore the abnormal fetal heart, early postnatal right and left ventricular dysfunction, the interplay between cardiac dysfunction and pulmonary hypertension, evaluation and echocardiographic assessment of the heart, and therapeutic strategies for managing and supporting the pathophysiologic heart and CDH. Further, we take a common clinical scenario and provide clinically relevant guidance for the diagnosis and management of this complex process.