Annals of medicine
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Postoperative sepsis is one of the main causes of mortality after liver transplantation (LT). Our study aimed to develop and validate a predictive model for postoperative sepsis within 7 d in LT recipients using machine learning (ML) technology. ⋯ Our study enrolled eight pre- and intra-operative variables to develop an RF-based predictive model of post-LT sepsis to assist clinical decision-making procedure.
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Uterine serous carcinoma (USC) exhibits worse survival rates compared to the endometrioid subtype, and there is currently no effective treatment options for recurrence of this disease after platinum-based chemotherapy. Activation of PIK3CA/AKT/mTOR signaling pathway is a common biological feature in USC. ⋯ These findings suggest that the combination of IPAT and carboplatin has potential clinical implications for developing new USC treatment strategies.
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Glioma is a common primary central nervous system tumor with complex pathogenesis. DNA damage and repair (DDR) is widely involved in regulating cell proliferation and tumorigenesis by correcting and repairing DNA damage mechanisms. Recent studies have reported the following properties in cancer cells in glioma, increased DNA damage and reduced DNA repair capacity. However, the relationship between glioma and DDR-related genes was unclear. ⋯ DDR-related risk score model built-in this work has good predictive performance for glioma.Key messagesTen prognostic-related DDR-related signature genes were obtained, including EID3, MGMT, YWHAG, PMS1, SHPRH, HUS1, NUDT1, GADD45G, APEX1 and FAM175A.In high-risk score groups, reduced immune cell infiltration in the tumor microenvironment leads to poorer patient outcomes.The risk score model had a good prediction effect on different glioma datasets and different glioma subgroups.Knockdown of NUDT1 reduced tumorigenesis of glioma and remarkably reduced the expression level of HIF-1α.
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The coronavirus disease-2019 (COVID-19) pandemic has caused healthcare professionals to face unequal acute workplace stress and burnout. This study aimed to analyze the potential impact of COVID-19 on the burnout and associated emotional stress conditions of Turkish dental technicians. ⋯ The findings showed that dental technicians working during the COVID-19 pandemic are influenced by emotional stress due to the outcomes of the pandemic. One reason for this situation might be the long working hours. Working arrangements, under-controlled disease risk factors, and lifestyle changes may improve stress levels.Key MessagesCOVID-19 outbreak exposed psychological returns to the general population, and especially to healthcare workers.Questionnaire method was applied to evaluate the burnout and stress levels among dental laboratory technicians during COVID-19 outbreak.Moderate levels of burnout and stress perception were detected. Long working time was one of the effective factors.
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Globally, the prevalence of hypertension and the accompanying burden of cardiovascular disease are increasing. Through drug utilization research, we can understand the prescription status of hypertension patients and promote rational drug use. The purpose of this retrospective study was to describe the current prescription pattern of antihypertensive drugs in Chinese patients and determine the compliance level of treatment guidelines. ⋯ CCBs and ARBs were the two most frequently prescribed for patients with hypertension. The prescription pattern of antihypertensive medications in the study largely complied with recommended Chinese hypertension guidelines.Key messagesCardiovascular disease is the most common complication of hypertension.Calcium channel blockers (CCBs) and angiotensin II receptor blockers (ARBs) are the two most commonly used drugs for hypertension patients in China.The proportion of combination prescription pattern in Chinese hypertensive patients is low.