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Background: Shenfu injection (SFI), derived from a traditional Chinese medicine (TCM) prescription, is an effective drug for the treatment of sepsis-induced myocardial injury (SIMI) with good efficacy, but its exact therapeutic mechanism remains unclear.

Methods: SwissTargetPrediction and GeneCards database were used to obtain relevant targets for SFI and SIMI. STRING 11.

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This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.

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This study analyzed the association of romosozumab, a human monoclonal antibody with bone-forming and bone resorption-inhibiting effects, and bisphosphonates with the development of cardiovascular disease among patients with osteoporosis. A new-user design was employed to address selection bias, and instrumental variable analysis was used to address confounding by indication. Japanese patients aged ≥40 years, diagnosed with osteoporosis or experienced a fragility fracture, were admitted to medical facilities covered by a commercial administrative claims database, and newly prescribed romosozumab or bisphosphonates after the commercialization of romosozumab in Japan (March 4, 2019) were included based on verification of a 180-day washout period.

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Biomarkers of RV Dysfunction in HFrEF Identified by Direct Tissue Proteomics: Extracellular Proteins Fibromodulin and Fibulin-5.

Circ Heart Fail

January 2025

First Faculty of Medicine, Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University (BIOCEV), Charles University, Prague, Czech Republic. (M.B., D.L., O.V., J.P.).

Background: Right ventricular dysfunction (RVD) is common in patients with heart failure with reduced ejection fraction, and it is associated with poor prognosis. However, no biomarker reflecting RVD is available for routine clinical use.

Methods: Proteomic analysis of myocardium from the left ventricle and right ventricle (RV) of patients with heart failure with reduced ejection fraction with (n=10) and without RVD (n=10) who underwent heart transplantation was performed.

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Aims: This post hoc analysis aimed to assess the efficacy and safety of the non-steroidal mineralocorticoid receptor antagonist finerenone by baseline diuretic use in FIDELITY, a pre-specified pooled analysis of the phase III trials FIDELIO-DKD and FIGARO-DKD.

Methods And Results: Eligible patients with type 2 diabetes (T2D) and chronic kidney disease (CKD; urine albumin-to-creatinine ratio [UACR] ≥30-<300 mg/g and estimated glomerular filtration rate [eGFR] ≥25-≤90 ml/min/1.73 m, or UACR ≥300-≤5000 mg/g and eGFR ≥25 ml/min/1.

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