The results of six-year follow-up of 368 patients after multiple prosthetic valve implantation (mitral and aortic prostheses in 173, mitral and tricuspid prostheses in 129, three prostheses in 36, mitral and aortic prostheses with tricuspid annuloplasty in 30) are reviewed. The mean functional class was 4.05 prior to the operation, and eventually declined to 2.1, being indicative of increased physical activity of the patients. Good results were stabilized in 61% of cases. Major causes of insufficient stability of good results were specific complications and progressive attendant heart diseases. There were no specific complications in 51% of the patients. The survival rate was 39.2%, including the intraoperative mortality rate. Long-term survival rate was 59.3%. Myocardial insufficiency, mostly occurring in patients with aortic prostheses and preoperative functional class 4 or 5, was one of the leading causes of reduced long-term survival. Therefore, patients should undergo surgery when in functional class 3, and those with aortic defects, while they are in functional class 2.
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PLoS One
January 2025
Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
Aflatoxin B1 (AFB1) is a class 1 carcinogen and mycotoxin known to contribute to the development of hepatocellular carcinoma (HCC), growth impairment, altered immune system modulation, and malnutrition. AFB1 is synthesized by Aspergillus flavus and is known to widely contaminate foodstuffs, particularly maize, wheat, and groundnuts. The mechanism in which AFB1 causes genetic mutations has been well studied, however its metabolomic effects remained largely unknown.
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January 2025
School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
The incidence of acute myeloid leukemia (AML) is increasing annually, and timely diagnostic and treatments can substantially improve patient survival rates. AML typing traditionally relies on manual microscopy for classifying and counting myeloid cells, which is time-consuming, laborious, and subjective. Therefore, developing a reliable automated model for myeloid cell classification is imperative.
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January 2025
Department of Biology, Swarthmore College, Swarthmore, Pennsylvania, United States of America.
Mental illnesses put a tremendous burden on afflicted individuals and society. Identification of novel drugs to treat such conditions is intrinsically challenging due to the complexity of neuropsychiatric diseases and the need for a systems-level understanding that goes beyond single molecule-target interactions. Thus far, drug discovery approaches focused on target-based in silico or in vitro high-throughput screening (HTS) have had limited success because they cannot capture pathway interactions or predict how a compound will affect the whole organism.
View Article and Find Full Text PDFDetecting low birth weight is crucial for early identification of at-risk pregnancies which are associated with significant neonatal and maternal morbidity and mortality risks. This study presents an efficient and interpretable framework for unsupervised detection of low, very low, and extreme birth weights. While traditional approaches to managing class imbalance require labeled data, our study explores the use of unsupervised learning to detect anomalies indicative of low birth weight scenarios.
View Article and Find Full Text PDFPLoS Pathog
January 2025
Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, United States of America.
Virulent microbes produce proteins that interact with host cell targets to promote pathogenesis. For example, virulent bacterial pathogens have proteins called effectors that are typically enzymes and are secreted into host cells. To detect and respond to the activities of effectors, diverse phyla of host organisms evolved effector-triggered immunity (ETI).
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