Cerebral infarction as initial presentation in stress cardiomyopathy: Case report and literature review

Takotsubo cardiomyopathy in India and its electrocardiography (ECG) comparison to myocardial infarction

BACKGROUND

Owing to the limited research on Takotsubo Cardiomyopathy (TCM) in Asia, we aim to evaluate in detail the clinical profiles, lab parameters, investigations, and major adverse cardiovascular events (MACE) seen in patients with TCM in the Indian subcontinent. Additionally, we have compared the electrocardiographic findings of patients with TCM to those of patients with myocardial infarction (MI).

RESULTS

The average age of the patients affected was found to be 60 ± 11 years. Women (87.5%) and patients with hypertension (40%) were found to be at an increased risk of developing the syndrome. The most common presenting symptom was dyspnea (48%) following a trigger most commonly emotional (45%). ST elevation and significant T wave inversions were observed in 40% of patients with TCM. Echocardiography revealed a low left ventricular ejection fraction of 43 ± 9%. Coronary angiography was normal in 60%, the rest had mild/subcritical stenoses. The 6-month MACE was 20% and the mortality rate was 7.5%. Follow-up echocardiography of patients with TCM showed improvement in EF in 75% patients.

CONCLUSIONS

TCM was majorly seen in postmenopausal women following an emotional trigger, but a variety of other triggers were noted. T-wave inversions in TCM follow a diffuse pattern in contrast to specific leads seen in MI. Normal or subcritical stenosis in coronaries at presentation, along with a low EF which improves on follow up provide greater evidence for the diagnosis of TCM.

Magnetic resonance imaging reconstruction algorithm under complex convolutional neural network in diagnosis and prognosis of cerebral infarction

This study was to explore the application value of magnetic resonance imaging (MRI) image reconstruction model based on complex convolutional neural network (CCNN) in the diagnosis and prognosis of cerebral infarction. Two image reconstruction methods, frequency domain reconstruction network (FDRN) and image domain reconstruction network (IDRN), were introduced based on the CCNN algorithm. In addition, they were integrated to form two new MRI image reconstruction models, namely D-FDRN and D-IDRN. The peak signal to noise ratio (PSNR) value and structural similarity index measure (SSIM) value of the image were compared and analyzed before and after the integration. The MRI images of patients with cerebral infarction in the dataset were undertaken as the data source, the average diffusion coefficient (DCavg) and apparent diffusion coefficient (ADC) values of different parts of the MRI image were measured, respectively. The correlation of the vein abnormality grading (VABG) to the infarct size and the degree of stenosis of the responsible vessel was analyzed in this study. The results showed that the PSNR and SSIM values of the MRI reconstructed image of the D-IDRN algorithm based on the CCNN algorithm in this study were higher than those of other algorithms. There was a positive correlation between the VABG and the infarct size (r = 0.48 and P = 0.002), and there was a positive correlation between the VABG the degree of stenosis of the responsible vessel (r = 0.58 and P < 0.0001). The ADC value of the central area of the infarct on the affected side was significantly greatly lower than that of the normal side (P < 0.01), and the DCavg value of the central area of the infarct was much lower in contrast to the normal side (P < 0.05). It indicated that an image reconstruction algorithm constructed in this study could improve the quality of MRI images. The ADC value and DCavg value changed in the infarct central area could be used as the basis for the diagnosis of cerebral infarction. If the vein was abnormal, the patient suffered from severe vascular stenosis, large infarction area, and poorer prognosis.

Overexpression of COX6B1 protects against I/R‑induced neuronal injury in rat hippocampal neurons

Cerebrovascular disease (CVD) is one of the leading causes of mortality worldwide. The role of cytochrome c oxidase subunit 6B1 (COX6B1) in the central nervous system remains unclear. The present study aimed to analyze the role of COX6B1 in rat hippocampal neurons extracted from fetal rats. The subcellular localization of the neuron‑specific marker microtubule‑associated protein 2 was detected by immunofluorescence assay. Cell viability was assessed using a cell counting kit, and the levels of apoptosis and cytosolic Ca2+ were analyzed by flow cytometry. The expression levels of the molecular factors downstream to COX6B1 were determined using reverse transcription‑quantitative polymerase chain reaction and western blotting. Reoxygenation following oxygen‑glucose deprivation (OGD) decreased cell viability and the expression levels of COX6B1 in a time‑dependent manner, and 60 min of reoxygenation was identified as the optimal time period for establishing an ischemia/reperfusion (I/R) model. Overexpression of COX6B1 was demonstrated to reverse the viability of hippocampal neurons following I/R treatment. Specifically, COX6B1 overexpression decreased the cytosolic concentration of Ca2+ and suppressed neuronal apoptosis, which were increased following I/R treatment. Furthermore, overexpression of COX6B1 increased the protein expression levels of apoptosis regulator BCL‑2 and mitochondrial cytochrome c (cyt c), and decreased the protein expression levels of apoptosis regulator BCL2‑associated X and cytosolic cyt c in I/R model cells. Collectively, the present study results suggested that COX6B1 overexpression may reverse I/R‑induced neuronal damage by increasing the viability of neurons, by decreasing the cytosolic levels of Ca2+ and by suppressing apoptosis. These results may facilitate the development of novel strategies for the prevention and treatment of CVD.