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Effects of stress hyperglycemia ratio upon long-lasting prognosis in coronary artery disease patients with or lacking chronic renal impairment: findings from a Chinese multi-center observational study.
Diabetol Metab Syndr
December 2024
Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Background: Lately, numerous researches have portrayed stress hyperglycemia ratio (SHR) is predominantly connected with short-term adverse prognosis among individuals who have acute coronary syndrome. Nevertheless, the relation of SHR with prolonged effects and the value of SHR in predicting in coronary artery disease (CAD) patients with or lacking chronic kidney disease (CKD) remain unclear. The present study was designed to elucidate the relation of SHR with prolonged prognosis and the value of SHR in predicting the long-term all-cause and cardiovascular death of CAD patients with CKD or non-CKD.
View Article and Find Full Text PDFCoinfection of severe acute respiratory syndrome coronavirus 2 and polyomavirus in a patient with coronavirus disease 2019 detected by enrichment next-generation sequencing: a case report.
J Med Case Rep
December 2024
Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
Background: Severe acute respiratory syndrome coronavirus 2 was found first in Wuhan and declared a pandemic by the World Health Organization. Coinfection with other respiratory viruses may occur, complicating the diagnosis and treatment of coronavirus disease 2019 . Herein, we identified a Karolinska Institute polyomavirus Stockholm 60 present in a nasopharyngeal swab of a patient with severe acute respiratory syndrome coronavirus 2 infection using next-generation sequencing with an enrichment method.
View Article and Find Full Text PDFNeutrophil-to-lymphocyte, platelet-to-lymphocyte ratios and systemic immune-inflammation index in patients with post-traumatic stress disorder.
BMC Psychiatry
December 2024
Etlik City Hospital, Psychiatry Clinic, Ankara, Turkey.
Background: Low-grade systemic inflammation has been reported in many psychiatric diseases and is described as a non-severe state of the inflammatory response. Post-traumatic stress disorder (PTSD) is a chronic psychiatric disorder characterized by symptoms of avoidance, re-experiencing and hyperarousal that develop secondary to a serious traumatic event. The trauma itself creates psychological and biological changes in the individual, apart from PTSD.
View Article and Find Full Text PDFComparison of Cell-death Kinetics of Recombinant Methioninase (rMETase)-treated Cancer and Normal Cells: Only Cancer Cells Undergo Methionine-depletion Catastrophe at Low rMETase Concentrations.
Anticancer Res
January 2025
AntiCancer Inc., San Diego, CA, U.S.A.;
Background/aim: Methionine addiction, known as the Hoffman effect, makes cancer cells more sensitive to methionine restriction than normal cells. However, the long-term effects of methionine restriction on cancer and normal cells have not been thoroughly studied.
Materials And Methods: HCT-116 human colorectal-cancer cells and Hs27 normal skin fibroblasts were treated with 0-8 U/ml of recombinant methioninase (rMETase) for 12 days.
The role of telemetry monitoring: From diagnosing arrhythmia to predictive models of patient instability.
J Electrocardiol
December 2024
Emory University, Atlanta, GA, USA. Electronic address:
Over the past sixty years, telemetry monitoring has become integral to hospital care, offering critical insights into patient health by tracking key indicators like heart rate, respiratory rate, blood pressure, and oxygen saturation. Its primary application, continuous electrocardiographic (ECG) monitoring, is essential in diverse settings such as emergency departments, step-down units, general wards, and intensive care units for the early detection of cardiac rhythms signaling acute clinical deterioration. Recent advancements in data analytics and machine learning have expanded telemetry's role from observation to prognostication, enabling predictive models that forecast inhospital events indicative of patient instability.
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