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Evaluating sex-specific responses to western diet across the lifespan: impact on cardiac function and transcriptomic signatures in C57BL/6J mice at 530 and 640/750 days of age.
Cardiovasc Diabetol
December 2024
Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, s7-119, New York, NY, USA.
Background: Long-term consumption of Western Diet (WD) is a well-established risk factor for the development of cardiovascular disease (CVD); however, there is a paucity of studies on the long-term effects of WD on the pathophysiology of CVD and sex-specific responses.
Methods: Our study aimed to investigate the sex-specific pathophysiological changes in left ventricular (LV) function using transthoracic echocardiography (ECHO) and LV tissue transcriptomics in WD-fed C57BL/6 J mice for 125 days, starting at the age of 300 through 425 days.
Results: In female mice, consumption of the WD diet showed long-term effects on LV structure and possible development of HFpEF-like phenotype with compensatory cardiac structural changes later in life.
Validation of Risk Prediction Models for Pneumothorax and Intercostal Catheter Insertion Following CT-Guided Lung Biopsy.
J Med Imaging Radiat Oncol
December 2024
Department of Radiology, Grampians Health, Ballarat Central, Victoria, Australia.
Background: CT-guided percutaneous transthoracic needle biopsy is the primary method for diagnosing lung lesions. Widely accepted validated risk prediction models are yet to be developed. A recently published study conducted at Grampians Health Services (GHS) developed two risk prediction models for predicting pneumothorax and intercostal catheter (ICC) insertion.
View Article and Find Full Text PDFComparisons of echocardiographic findings of COVID-19 patients in intensive care units before and after the omicron variant propagation.
J Echocardiogr
December 2024
Division of Cardiology, Department of Internal Medicine, Tokai University School of Medicine, Shimokasuya 143, Isehara-shi, Kanagawa, 259-1193, Japan.
Purpose: Few investigational reports have evaluated the status of cardiovascular manifestations of coronavirus disease 2019 (COVID-19) during the Omicron dominance period. In this study, we aimed to investigate the cardiac function parameters and clinical outcomes of patients with COVID-19 before and after the Omicron variant (OV) propagation.
Methods: We retrospectively analyzed the data of 88 adult patients with COVID-19 who underwent clinically indicated standard transthoracic echocardiography (TTE) in intensive care wards.
Identifying Risk Factors Associated With False-Negative Results in US-Guided Percutaneous Transthoracic Needle Lung Biopsy of Subpleural Pulmonary Lesions.
Thorac Cancer
December 2024
Department of Ultrasonography, Shanghai Pulmonary Hospital of Tongji University School of Medicine, Shanghai, China.
Background: This study aims to investigate the factors influencing false-negative results in ultrasound-guided percutaneous transthoracic needle lung biopsy results (US-PTLB).
Materials And Methods: This ambispective cohort study included patients with subpleural pulmonary lesions who underwent US-PTLB with benign pathological findings between April 2017 and June 2022 (retrospective cohort) and between July 2022 and October 2022 (prospective cohort). In the retrospective cohort, comparative and logistic regression analyses were performed to identify independent risk factors for false-negative biopsy results.
A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach.
Comput Struct Biotechnol J
December 2024
Department of Translational Medical Sciences, Federico II University, Naples, Italy.
Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH.
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