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Cureus
January 2025
Department of Physiology, University of Sindh, Jamshoro, PAK.
Background: Erectile dysfunction (ED) in men is overlooked and is often linked with psychogenic causes. Due to cultural barriers, this area of research remains neglected.
Objective: The study was conducted to determine the factors that can be associated with ED in otherwise apparently healthy men.
Front Endocrinol (Lausanne)
January 2025
Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Introduction: The Sequential Organ Failure Assessment (SOFA) score is a widely utilized clinical tool for evaluating the severity of organ failure in critically ill patients and assessing their condition and prognosis in the intensive care unit (ICU). Research has demonstrated that higher SOFA scores are associated with poorer outcomes in these patients. However, the predictive value of the SOFA score for acute kidney injury (AKI), a common complication of diabetic ketoacidosis (DKA), remains uncertain.
View Article and Find Full Text PDFArch Esp Urol
December 2024
Obstetrics and Gynecology Department, Anhui Wannan Rehabilitation Hospital (The Fifth People's Hospital of Wuhu), 241000 Wuhu, Anhui, China.
Background: Urinary tract stones present significant health risks to pregnant women and their foetuses. However, the specific risk factors contributing to stone formation during pregnancy, particularly within the Chinese population, remain poorly understood. This retrospective survey aimed to identify demographic, clinical, and obstetric risk factors associated with urinary tract stones in pregnant women at a tertiary hospital in China.
View Article and Find Full Text PDFChin J Integr Med
January 2025
Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Objective: To identify the underlying molecular mechanism of Modified Hu-Lu-Ba-Wan (MHW) in alleviating renal lesions in mice with diabetic kidney disease (DKD).
Methods: The db/db mice were divided into model group and MHW group according to a random number table, while db/m mice were settled as the control group (n=8 per group). The control and model groups were gavaged daily with distilled water [10 mL/(kg·d)], and the MHW group was treated with MHW [17.
Sci Rep
January 2025
Department of Computer Science, Faculty of Computers and Information, Suez University, P. O. Box 43221, Suez, Egypt.
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system.
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