Purpose: This study aimed to characterize quantitative liver-spleen contrast (Q-LSC) and hepatocellular uptake index (HUI) for evaluating hepatobiliary phase (HBP) images using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) in liver magnetic resonance imaging and to identify differences in the results obtain from these two measurement methods.
Methods: Twenty-nine consecutive randomly selected patients were assessed using the 3.0 T MR system.
Objectives: Nocturnal hypertension is increasingly recognized as a significant risk factor for cardiovascular events. However, there is limited information on whether antihypertensive treatment directly targeting nighttime blood pressure (BP) improves cardiovascular outcomes in medicated patients with hypertension. In this prospective multicenter study, we investigated whether aggressive adjustments in antihypertensive drug treatment targeting nighttime BP can effectively normalize nocturnal hypertension and assessed the safety of this approach.
View Article and Find Full Text PDF: Macronutrients (protein, fat, and carbohydrate) provide sources of energy and play crucial roles in various physiological functions. However, sex differences in the relationships between protein, fat, and carbohydrate intakes and all-cause mortality remain unclear. The present study investigated sex differences in the relationships between protein, fat, and carbohydrate intakes and all-cause mortality using longitudinal epidemiological data.
View Article and Find Full Text PDFDespite the high frequency of pregnancies complicated by abnormal glucose metabolism associated with obesity, methylmercury (MeHg) metabolism in pregnant women with abnormal glucose metabolism is unclear. We aimed to elucidate the MeHg tissue distribution in obese female mice with abnormal glucose metabolism and their fetuses. Female C57BL/6J mice were fed a high-fat diet (HFD) or a standard diet (Ctrl) for 12 weeks and mated.
View Article and Find Full Text PDFAims: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical information. The objective was to assess its reliability in delivering medical information in the context of pain management.
Methods: A cross-sectional survey-based study was conducted with healthcare professionals, including physicians and pharmacists.