Differentiation of Takotsubo Cardiomyopathy from ST Elevation Myocardial Infarction in Patients Activated for Fast-Track Coronary Angiography.

Objective: To compare clinical and electrocardiographic (ECG) features between Takotsubo cardiomyopathy (TC) and ST-elevation myocardial infarction (STEMI). Material and Method: We retrospectively reviewed clinical, electrocardiographic, and laboratory features of 20 consecutive TC patients and 155 consecutive STEMI patients who were activated for fast-track coronary angiography and were ultimately diagnosed with either TC or STEMI and compared these data between the two groups. Results: Patients with TC were older (p = 0.001), more often female (p = 0.001), had more often been triggered by intense emotional or physical stress (p = 0.001) or illness (p = 0.001), and had a lower rate of smoking (p = 0.005) than STEMI patients. Compared with patients who presented with anterior wall STEMI, those with TC less commonly had Q waves (30.0% vs. 62.9%, p = 0.007) and reciprocal change (0.0% vs. 37.1%, p = 0.001), and had a lower rate of ST-segment elevation in lead V1 (5.0% vs. 59.8%, p = 0.001). ST-segment depression was also more common in TC in lead aVR (20.0% vs. 2.1%, p = 0.008). Previously proposed ECG criteria had low sensitivity, but high specificity in our patients. Our proposed point scoring model includes the use of both clinical and ECG findings. According to our proposed model, a score ≥4 had 90% sensitivity and 98% specificity in differentiating TC from acute anterior STEMI (AUC = 0.976, p<0.001). Conclusion: In patients activated for fast-track coronary angiography because of acute coronary ST-segment elevation syndrome, a number of clinical and ECG features differ between TC patients and patients with true STEMI. Our proposed point scoring model that uses clinical and ECG findings demonstrated improved diagnostic accuracy in differentiating TC from acute anterior STEMI.

Real-World Clinical Burden of Newly Diagnosed Heart failure in Thai Patients.

INTRODUCTION: There are limited data on the burden of newly diagnosed patients with heart failure (HF) in Thailand. Thus, this study aimed to fully understand the hospitalization, rehospitalization, mortality rates, demographics and characteristics, and quality of care in these patients. METHOD: A retrospective review of all eligible adult patients' medical records from 2018 and 2019 was conducted at five hospitals. The patients were newly diagnosed with HF, as indicated by the International Classification of Diseases (ICD)-10 code "I50." Descriptive statistics was used to investigate patients' hospital burden and clinical outcome data. RESULTS: There were 1134 patients newly diagnosed with HF, classified as HF with reduced ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF), and HF with mildly reduced ejection fraction (HFmrEF) (44.0, 40.0, and 16.0%, respectively). The male-to-female ratios in HFmrEF and HFpEF were similar. In contrast, the proportion of men with HFrEF was greater. The mean age of all patients was 66.0 years. The hospitalization rate was 1.3. Rehospitalization rates for HF-related issues were 0.1, 0.2, 0.4, and 0.5 at 30 days, 60 days, 180 days, and 1 year, respectively. The percentage of deaths from all causes among these patients was 9.8%, while the percentage of deaths from cardiovascular-related causes was 8.5%. Only a small proportion of patients received a target dose of guideline-directed medical therapy (GDMT). CONCLUSIONS: The study revealed that the characteristics, hospitalization rate for HF, and in-hospital mortality rate among newly diagnosed patients with HF were higher compared to similar studies conducted in Thailand and other countries. Moreover, a high quality of care is needed to improve the morbidity and mortality associated with HF in Thailand.

Real-World Heart Failure Burden in Thai Patients.

INTRODUCTION: Heart failure (HF) is one of the leading causes of hospitalization worldwide. In Thailand, data on HF burden remains limited. This study aimed to describe comprehensive evidence detailing the HF prevalence, hospital admission rates, in-hospital mortality, and overall mortality rates at the hospital level. METHOD: All eligible adult patients' medical records from 2018 and 2019 were analyzed retrospectively at five hospitals in different regions. The patients were diagnosed with HF, as indicated by the International Classification of Diseases (ICD)-10 code I50. Descriptive statistics were used to examine the hospital burden as well as patients' clinical and outcome data. RESULTS: A total of 7384 patients with HF were identified from five tertiary hospitals. Around half of the patients were male. The mean age was 67 years, and the main health insurance scheme was the Universal Coverage Scheme. The prevalence of HF was 0.1% in 2018 and 0.2% in 2019. Heart failure with preserved ejection fraction (HFpEF) was the most common type of HF in both visits, followed by heart failure with reduced ejection fraction (HFrEF) and heart failure with mildly reduced ejection fraction (HFmrEF). The proportion of HF hospitalizations was 1.2% in 2018 and 1.5% in 2019. The proportion of HF rehospitalizations versus hospitalizations in patients with HF was 22.7% in 2018 and 23.9% in 2019. The risk of rehospitalization was highest at 180 days after hospital discharge (87.8%). Among the patients with HF, the proportion of all-cause mortality was 9.1% in 2018 and 8.0% in 2019. Most of the deaths occurred within 30 days after hospitalization. CONCLUSION: Our study demonstrated that the burden of HF in terms of hospitalization and in-hospital mortality was notably high when compared to similar studies conducted in Thailand and other countries.