This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

Background: Although biological links are unclear, low bone density and atherosclerosis are inversely associated. This study evaluated the association between bone mineral density (BMD) and coronary computed tomographic angiography (CCTA) findings, including coronary artery calcification (CAC) score and the presence, extent, and composition of coronary atherosclerotic plaque (CAP) in asymptomatic women. Methods: A symptomatic women aged ≥40 years (N=2, 100; median age, 52 years; range, 40-80 years) were selected from a retrospective observational cohort and stratified into normal, osteopenia, and osteoporosis groups according to BMD T-score grades. We evaluated CAC score and assessed the presence, extent, and stenosis severity of CAP on CCTA. Additionally, CAP was categorized as calcified, mixed, or non-calcified according to calcified component valiums (>130 Hounsfield units). Results: Osteopenia and osteoporosis were found in 28.8% and 5.3% of participants, respectively. CAC score and CAC severity significantly increased with decreased BMD grades (from normal to osteoporosis). The presence of CAP (overall, 15.6%; normal, 12.6%; osteopenia, 20.2%; osteoporosis, 28.8%; P<0.001) and number of segments with CAP significantly increased with decreased BMD grades. Furthermore, the number of segments with calcified or mixed plaques, excluding non-calcified plaques, increased with decreased BMD grades. Although most associations were attenuated or disappeared after adjusting for age and other covariates, calcified plaques showed a strong and age-independent association with BMD grades. Conclusions The presence and severity of CAC and CAP were significantly associated with BMD severity in asymptomatic women, particularly for the presence of calcified plaques. Further studies are required to determine the association between vascular calcification and bone health status.

Adverse reactions of subcutaneous low molecular weight heparin or unfractionated heparin could be complications by bleeding, heparin-induced thrombocytopenia, drug-induced liver injury, osteoporosis, and cutaneous reactions. Heparin-induced skin lesions vary from allergic reactions like erythema, urticaria, eczema to intradermal microvascular thrombosis associated with heparin-induced thrombocytopenia. There is a rare cutaneous complication, called bullous hemorrhagic dermatosis. We experienced this rare case of the cutaneous complication caused by enoxaparin. Several tense bullous hemorrhagic lesions occurred after 3 days of enoxaparin in a known bullous pemphigoid patient who had aortic valve replacement surgery with a mechanical prosthesis. The bullous hemorrhagic lesions were regressed after the discontinuation of enoxaparin but recurred after re-administration. The lesions were controlled by the administration of systemic corticosteroid and alternative anticoagulant. To date, less than 20 cases have been reported worldwide. This is the first case of bullous hemorrhagic dermatosis induced by enoxaparin, a low-molecular-weight heparin in Korea. This is also the first case of bullous hemorrhagic dermatosis in a known bullous pemphigoid patient.
Aortic Valve ; Drug-Induced Liver Injury ; Eczema ; Enoxaparin ; Erythema ; Hemorrhage ; Heparin ; Heparin, Low-Molecular-Weight ; Humans ; Hypersensitivity ; Korea ; Osteoporosis ; Pemphigoid, Bullous ; Prostheses and Implants ; Skin ; Skin Diseases ; Skin Diseases, Vesiculobullous ; Thrombocytopenia ; Thrombosis ; Transcutaneous Electric Nerve Stimulation ; Urticaria

BACKGROUND: To evaluate the association between retinal artery occlusion (RAO) and subclinical coronary artery disease (CAD). METHODS: We studied 41 patients with non-arteritic RAO without any history or symptoms of CAD, who had undergone coronary computed tomographic angiography (CCTA) for systemic atherosclerotic evaluation between 2007 and 2012. The age- and gender-matched control group comprised 4-fold subjects who were randomly selected from asymptomatic subjects who underwent CCTA during general health evaluation. Medical records and CCTA findings were compared between RAO patients and control groups. Multiple logistic regression analysis was carried out to assess the risk factors associated with CAD. RESULTS: Cardiovascular risk factors were not significantly different between RAO patients and control groups. RAO patients showed higher coronary artery calcium score than did control subjects (267.9 ± 674.9 vs. 120.2 ± 289.5). On CCTA, the prevalence of obstructive CAD (diameter stenosis ≥ 50%) in RAO patients was significantly higher than that in controls (29% vs. 15%; odds ratio [OR], 3.0). RAO patients demonstrated a significantly higher segment-involvement score (SIS) (2.6 ± 3.0 vs. 1.6 ± 2.4) and segment-stenosis score (SSS) (3.6 ± 4.8 vs. 2.0 ± 3.3) than did controls. After adjustment of associated factors, RAO showed significant association (OR, 3.0) with obstructive CAD and extensive CAD (SIS > 4: OR, 2.8; SSS > 8: OR, 3.4). CONCLUSION: Patients with RAO had a higher prevalence of subclinical obstructive CAD with a more extensive and heavier burden of coronary artery plaques than did age- and gender-matched controls. Physicians should understand the potential risk of CAD in RAO patients.
Angiography ; Atherosclerosis ; Calcium ; Constriction, Pathologic ; Coronary Artery Disease ; Coronary Vessels ; Humans ; Logistic Models ; Medical Records ; Odds Ratio ; Prevalence ; Retinal Artery Occlusion ; Retinal Artery ; Retinaldehyde ; Risk Factors

Cardiac magnetic resonance (CMR) imaging is now widely used in several fields of cardiovascular disease assessment due to recent technical developments. CMR can give physicians information that cannot be found with other imaging modalities. However, there is no guideline which is suitable for Korean people for the use of CMR. Therefore, we have prepared a Korean guideline for the appropriate utilization of CMR to guide Korean physicians, imaging specialists, medical associates and patients to improve the overall medical system performances. By addressing CMR usage and creating these guidelines we hope to contribute towards the promotion of public health. This guideline is a joint report of the Korean Society of Cardiology and the Korean Society of Radiology.
Cardiology* ; Cardiovascular Diseases ; Evidence-Based Medicine ; Heart ; Hope ; Humans ; Joints* ; Magnetic Resonance Imaging* ; Public Health ; Specialization

BACKGROUND AND OBJECTIVES: Multi-detector CT (MDCT) is becoming more commonly used as a diagnostic tool for various cardiac diseases, and this modality can also incidentally detect a significant number of non-cardiac findings during cardiac work-ups. The objectives of this study were to evaluate the incidence of non-cardiac findings during cardiac MDCT and to compare them with chest CT. SUBJECTS AND METHODS: We enrolled 1,007 consecutive subjects (mean age: 49+/-10 years, males: 63%) who underwent both cardiac and chest CT (64-slice MDCT) as a part of a routine health check-up. The subjects were evaluated for the incidence of non-cardiac findings and the therapeutic consequences according to the CT protocols during the mid-term follow-up (average length of mid-term follow-up: 533+/-39 days). RESULTS: Eight hundred sixty incidental non-cardiac findings were identified in 627 patients (62%) with cardiac CT. Forty-three subjects (4%) had clinically significant lesions that required additional diagnostic work-up or radiological follow-up, and these lesions were 23 cases of non-calcified nodule, 2 cases of ground glass opacity, 6 cases of pneumonia, 1 case of active tuberculosis, 2 cases of focal bronchiolitis, 3 cases of arterial lesion, 1 case of liver cirrhosis and 5 cases of extra-pulmonary masses. Five subjects (0.5%), including 2 cases (0.2%) of malignancy, had therapeutic consequences during their follow-up. Compared with chest CT, 68% (40/59) of the significant intrathoracic lesions and 67% (4/6) of the intrathoracic lesions with therapeutic consequences were documented by cardiac CT. CONCLUSION: In the present study, 4% of the asymptomatic patients who underwent cardiac MDCT were found to have significant non-cardiac findings that required further work-up. To avoid missing a number of clinically important findings, physicians who analyze cardiac MDCT scans should carefully evaluate not only the heart, but all the other organs that are within the scan range.
Bronchiolitis ; Follow-Up Studies ; Glass ; Heart ; Heart Diseases ; Humans ; Incidence ; Liver Cirrhosis ; Lung ; Pneumonia ; Thorax ; Tomography, X-Ray Computed ; Tuberculosis

This study was conducted to determine clinical parameters predicting future major adverse cardiovascular events (MACEs) in patients without significant stenosis on coronary computed tomographic angiography (CCTA). A total of 625 patients with suspected coronary artery disease (CAD) who underwent CCTA that revealed insignificant (< 50%) CAD was reviewed in three cardiac centers. The MACEs including cardiac death, non-fatal myocardial infarction (MI), unstable angina and late (> 90 days after CCTA) revascularization were assessed. During the mean follow-up period of 819 +/- 529 days (median 837 days), there were 28 cases of MACEs (4.5%). In multivariable Cox regression analysis, independent predictors for MACEs were male sex (hazard ratio [HR], 2.40; 95% confidence interval [CI], 1.01-5.69; P = 0.046) and low estimated creatinine clearance (eCCr) (< 60 mL/min/1.73 m2) (HR, 3.07; 95% CI, 1.22-7.74; P = 0.017). Low eCCr was the only independent predictor for hard events including cardiac death and MI (HR, 17.6, 95% CI, 1.44-215.7; P = 0.025). In conclusion, renal function is an independent predictor for cardiovascular events among patients without significant CAD by CCTA. Careful monitoring and preventive strategy are warranted in patients with impaired renal function even without significant CAD.
Adult ; Aged ; Aged, 80 and over ; Cardiovascular Diseases/diagnosis/*mortality ; Comorbidity ; Coronary Angiography/*statistics & numerical data ; Coronary Stenosis/mortality/radiography ; Female ; Humans ; Incidence ; Kidney Diseases/*diagnosis/*mortality ; Kidney Function Tests/*statistics & numerical data ; Male ; Middle Aged ; Prognosis ; Reproducibility of Results ; Republic of Korea/epidemiology ; Risk Assessment ; Sensitivity and Specificity ; Survival Rate ; Tomography, X-Ray Computed/*statistics & numerical data