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BackgroundHeart failure (HF), a core component of cardiovascular diseases, is characterized by high morbidity and mortality worldwide. By collecting and analyzing routine blood data, machine learning models were built to identify the patterns of changes in blood indicators related to HF.MethodsWe conducted a statistical analysis of routine blood data from 226 patients who visited Zhejiang Provincial Hospital of Traditional Chinese Medicine (Hubin) between May 1, 2024, and June 30, 2024.
Dilated cardiomyopathy (DCM) is a leading cause of heart failure, yet therapeutic options remain limited. While traditional research has focused on mechanisms such as energy deficits and calcium dysregulation, increasing evidence suggests that mitochondria-associated membranes (MAMs) could provide new insights into understanding and treating DCM. In this narrative review, we summarize the key role of MAMs, crucial endoplasmic reticulum (ER)-mitochondria interfaces, in regulating cellular process
BackgroundAn undeflatable stent balloon following its inflation during percutaneous coronary intervention (PCI) is a rare and unpredictable complication that can lead to serious consequences. Currently, there is no standardized protocol for managing this issue.Case presentationAn 83-year-old man presented with chest pain. Coronary angiography showed a chronic total occlusion (CTO)-like lesion in the proximal left anterior descending coronary artery (LAD).
Metabolic syndrome (MetS) is a known contributor to increased cardiovascular risk and all-cause mortality. Recent literatures suggested that higher hemoglobin (Hb) levels were associated with Mets, left ventri.
Left ventricular (LV) long-axis shortening at the cardiac base is a determinant of left atrial (LA) reservoir function. Cardiac amyloidosis (CA) is characteristic of amyloid deposition predominantly in the LV.
The vestigial fold is an epicardial structure related to the posterior hilum of the heart, containing the remnant of the left superior vena cava. It is the superior continuation of the ligament/vein of Marshall. While neural structures along the human ligament/vein of Marshall have been characterized, those within the human vestigial fold remain unexplored.
I am writing with regard to the recent article How to best describe the location of the substrates for abnormal cardiac rhythms by Anderson et al1 and the accompanying Note from the Editors.2 I have been a committed user of the anatomic terminology championed by Anderson et al since first learning of the 1999 consensus statement on cardiac nomenclature3 despite the more common use of the attitudinally inappropriate terms among colleagues.
Nanosecond pulsed electric fields (nsPEF) are a promising method for cardiac Pulsed Field Ablation, currently in early clinical trials. However, effective ablation often requires high voltages, more pulses, and higher frequencies, which can raise tissue temperatures due to Joule heating. Fractionated pulse delivery can help mitigate thermal effects and potentially evoke electrosensitization, increasing cell damage.
CARTONET is a cloud-based system for the analysis of ablation procedures using the CARTO system. The current CARTONET R14 model employs deep learning, but its accuracy and positive predictive value (PPV) remain under-evaluated.
Left bundle branch area pacing (LBBAP) is being increasingly adopted.1,2 A 12-lead ECG is necessary for evaluating conduction system capture, particularly through the assessment of R-wave peak time in V6 (V6RWPT) and the V6-V1 interpeak interval,3 but is not always available and is time-consuming. Two small studies totaling 30 patients reported placement of the arm electrodes in the V1 position and the leg electrodes in the V6 position using a device programmer, with recording of only pseudo-V1
Atrial fibrillation (AF) is a prevalent arrhythmia in hypertensive patients and significantly increases mortality. Chronic inflammation plays a critical role in the pathophysiology of AF.
Determining capture type and septal lead location during left bundle branch area pacing (LBBAP) relies on criteria obtained during implantation. However, during follow-up, the interpretation of left bundle branch (LBB) capture largely depends on QRS morphology, which is not so straightforward in LBBAP.
We thank Dr LaPage for his letter, and we are encouraged to learn that he has been a committed user of the attitudinally appropriate nomenclature since the turn of the century. As he rightly comments, it will take time to shift to the correct terms. We agree with him that, in the interim, it will be necessary to use a fused terminology. In that regard, we have no problem with the use of terms such as right lateral or left lateral.
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