Publications by authors named "Goo Yeong Cho"

Background: Given the high prevalence of stage A or B heart failure (HF), comprehensive screening for new-onset HF is cost-prohibitive. Therefore, further risk stratification is warranted to identify at-risk patients. This study aimed to evaluate the prognostic utility of cardiopulmonary exercise test (CPET) with bicycle stress echocardiography (BSE) in patients with stage A or B HF.

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Background And Objectives: Few studies have addressed the predictive implications of right ventricular (RV) and pulmonary arterial (PA) coupling as assessed by echocardiography in patients with acute heart failure (AHF). This study aimed to ascertain the prognostic importance of RV-PA coupling in AHF cases and discern any divergence in its prognostic efficacy based on different heart failure (HF) phenotypes.

Methods: We evaluated RV-PA coupling by measuring the ratio of right ventricular global longitudinal strain (RVGLS) to pulmonary arterial systolic pressure (PASP), termed the RVGLS/PASP ratio, and assessed its prognostic role using the STrain for Risk Assessment and Therapeutic Strategies in Patients with Acute Heart Failure registry.

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Article Synopsis
  • The study investigates the use of an AI-generated ECG score (ECG-GLS) to estimate left ventricular global longitudinal strain (LVGLS), which is important for diagnosing heart issues.
  • The ECG-GLS score showed strong performance in identifying patients with impaired LVGLS and comparable accuracy to traditional methods for determining LV ejection fraction (LVEF).
  • Patients with low ECG-GLS scores had significantly worse long-term outcomes, indicating that this score could serve as an effective risk assessment tool in heart failure management.
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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.

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Background And Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI).

Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values.

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Background: Hypertension-induced left ventricular hypertrophy (LVH) increases end-diastolic LV pressure and contributes to left atrial enlargement (LAE), which are associated with development of atrial fibrillation. However, the impact of LVH and LAE and their regression following antihypertensive therapy on atrial fibrillation incidence remains unclear.

Methods: This retrospective analysis included consecutive patients with sinus rhythm who underwent echocardiography at hypertension diagnosis and after 6-18 months between 2006 and 2021 at tertiary care centres in Korea.

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Article Synopsis
  • The study explored whether evogliptin, a dipeptidyl peptidase-4 inhibitor, could slow the progression of aortic stenosis (AS) in 228 patients over 96 weeks, measuring changes in aortic valve calcium volume (AVCV).
  • Results showed no significant reduction in AVCV for either dosage of evogliptin compared to placebo; however, evogliptin groups had significantly lower active calcification volume at 48 weeks using F-sodium fluoride PET.
  • Although evogliptin did not appear to protect against AV calcification, the study suggests the potential for longer-term benefits, indicating a need for larger trials to confirm these findings.
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Background: Evaluating left ventricular diastolic function (LVDF) is crucial in echocardiography; however, the complexity and time demands of current guidelines challenge clinical use. This study aimed to develop an artificial intelligence (AI)-based framework for automatic LVDF assessment to reduce subjectivity and improve accuracy and outcome prediction.

Methods: We developed an AI-based LVDF assessment framework using a nationwide echocardiographic dataset from five tertiary hospitals.

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Article Synopsis
  • The study investigates the role of early diastolic mitral annular tissue velocity (e') as a prognostic marker for patients with mitral regurgitation (MR).
  • It analyzed 1,536 patients under 65 years old with moderate to severe chronic primary MR, focusing on all-cause and cardiovascular mortality over a median follow-up of 6 years.
  • Findings indicate that an abnormal e' velocity (≤7 cm/s) is a significant independent predictor for both all-cause and cardiovascular death, enhancing mortality risk assessment in these patients.
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Background: Current risk stratification strategies for patients with hypertrophic cardiomyopathy (HCM) are limited to traditional methodologies.

Objectives: The authors aimed to establish machine learning (ML)-based models to discriminate major cardiovascular events in patients with HCM.

Methods: We enrolled consecutive HCM patients from 2 tertiary referral centers and used 25 clinical and echocardiographic features to discriminate major adverse cardiovascular events (MACE), including all-cause death, admission for heart failure (HF-adm), and stroke.

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  • The study evaluated the effectiveness and tolerability of combining irbesartan (IRB) and amlodipine (AML) in treating essential hypertension when IRB alone was insufficient.
  • Two phase III clinical trials in Korea involved 428 patients and compared combinations of IRB/AML to placebo over 8 weeks, focusing on changes in mean sitting systolic blood pressure (MSSBP).
  • Results showed significant reductions in MSSBP in the combination groups compared to monotherapy, with adverse events occurring in a small percentage of participants, indicating the combined therapy was both effective and tolerable.
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Background: Cardiopulmonary exercise test (CPET) with supine bicycle echocardiography (SBE) enables comprehensive physiologic assessment during exercise. We characterized cardiopulmonary fitness by integrating CPET-SBE parameters and evaluated its prognostic value in patients presenting with dyspnea.

Methods And Results: We retrospectively reviewed 473 consecutive patients who underwent CPET-SBE for dyspnea evaluation.

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Background: The association between renal dysfunction and cardiovascular outcomes has yet to be determined in patients with hypertrophic cardiomyopathy (HCM). We aimed to investigate whether mildly reduced renal function is associated with the prognosis in patients with HCM.

Methods: Patients with HCM were enrolled at two tertiary HCM centers.

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Left ventricular hypertrophy (LVH) is a significant risk factor for cardiovascular mortality and morbidity in patients with hypertension. However, the effect of age on LVH regression or persistence and its differential prognostic value remain unclear. Therefore, we investigated the clinical implications of LVH regression in 1847 patients with hypertension and echocardiography data (at baseline and during antihypertensive treatment at an interval of 6-18 months) according to age.

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Background: Despite the established benefits of angiotensin receptor-neprilysin inhibitor (ARNI) in heart failure with reduced ejection fraction (HFrEF) across various etiologies, there are controversies regarding the effects of ARNI in patients with irreversible myocardial injury. The aim of this study is to investigate the impact of irreversible myocardial injury on the benefits of ARNI treatment in patients with HFrEF, consisted of both ischemic and non-ischemic etiologies.

Methods And Results: We conducted a retrospective single-center study including 409 consecutive patients with HFrEF treated with ARNI between March 2017 and May 2020.

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Background: Left ventricular diastolic dysfunction (LVDD) is often associated with elevated blood pressure (BP). It is prevalent among hypertensive patients. Additionally, increased BP variability has been linked to LVDD.

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Purpose: The new version of EchoPAC platform was recently developed by General Electronics (GE) to provide 'vendor-independent' full-myocardial-layer left ventricular (LV) global longitudinal strain (LV-GLS). The agreement of the LV-GLS by two vendor-independent software platforms was investigated under diverse clinical situations.

Methods: Two-dimensional speckle-tracking LV-GLS was separately measured by two software platforms.

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Background And Objectives: The prognostic or safety implication of renin-angiotensin-aldosterone system inhibitors (RASi) in hypertrophic cardiomyopathy (HCM) are not well established, mainly due to concerns regarding left ventricular outflow tract (LVOT) obstruction aggravation. We investigated the implications of RASi in a sizable number of HCM patients.

Methods: We enrolled 2,104 consecutive patients diagnosed with HCM in 2 tertiary university hospitals and followed up for five years.

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Background: Contemporary cardiovascular primary prevention is based on the assessment of the 10-year risk of atherosclerotic cardiovascular disease (ASCVD). However, the clinical implications of temporal change in the 10-year ASCVD risk estimate (∆10-year ASCVD risk/year) are unknown.

Methods: A total of 211 077 participants without established ASCVD and with repetitive 10-year ASCVD risk assessment at an interval of 4 to 5 years were selected from the Korean National Health Insurance Service data.

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Aims: The aim of this study was to investigate the prognostic utility of left ventricular (LV) global longitudinal strain (LV-GLS) in patients with hypertrophic cardiomyopathy (HCM) and an LV ejection fraction (LVEF) of 50-60%.

Methods And Results: This retrospective cohort study included 349 patients with HCM and an LVEF of 50-60%. The primary outcome was a composite of cardiovascular death, including sudden cardiac death (SCD) and SCD-equivalent events.

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Background And Objectives: We investigated whether the feasibility of left ventricular (LV) global longitudinal strain (GLS) in hypertrophic cardiomyopathy (HCM) varies according to the methodology (e.g. endocardial vs.

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Background: Diabetes mellitus (DM) is a well-established risk factor for the progression of degenerative aortic stenosis (AS). However, no study has investigated the impact of glycemic control on the rate of AS progression. We aimed to assess the association between the degree of glycemic control and the AS progression, using an electronic health record-based common data model (CDM).

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Article Synopsis
  • The study focused on predicting post-mitral valve replacement (MVR) mortality in patients with severe degenerative mitral regurgitation (MR) using machine learning techniques.
  • A random survival forest model was created from over 1,500 patients, identifying key risk factors like age, hemoglobin levels, and heart dimensions that influence 3-year mortality rates.
  • The resulting MVR-score showed superior accuracy in predicting mortality risk compared to existing models, highlighting the importance of clinical and echocardiographic factors in patient outcomes post-MVR.
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