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The Model for Understanding Success in Quality (MUSIQ) is a framework designed to understand the contextual factors that can influence healthcare quality improvement (QI) initiative implementation. The MUSIQ calculator was originally developed to help clinics identify contextual factors that may affect QI success. This retrospective study adapted the MUSIQ calculator to serve as an evaluative tool for practice facilitators engaged in a colorectal cancer screening initiative.
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J Matern Fetal Neonatal Med
December 2025
Department of Gynecology and Obstetrics, Xuanwu Hospital, Capital Medical University, Beijing, China.
Objective: Unexplained Recurrent Spontaneous Abortion (RSA) impacts the physical and psychological well-being of women of reproductive age. This study aimed to reveal the potential mechanisms behind unexplained RSA from the perspective of glucose and lipid metabolic profiles before conception and their relationship with immune, coagulation, and inflammatory markers.
Methods: A retrospective analysis was conducted on 100 patients with unexplained recurrent spontaneous abortion at our gynecology department from June 2022 to June 2023.
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Studies have shown that postmenopausal women have more metabolic abnormalities than premenopausal women. No consensus exists on how serum uric acid (sUA) affects metabolism-associated fatty liver disease (MAFLD) in postmenopausal women.This prospective observational study examined this link using National Health and Nutrition Examination Survey (NHANES) 2017 to 2020 data.
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Sci Rep
March 2025
School of Computer and Artificial Intelligence (School of Software), Huaihua University, Huaihua, 418000, China.
Traffic flow is the most direct indicator of traffic conditions, and accurate prediction of traffic flow is a key challenge for scholars in the field of intelligent transportation. However, traffic flow displays significant nonlinearity, dynamic changes, spatiotemporal dependencies, and most existing methods overlook the influence of road topology on the spatiotemporal properties of traffic flow, creating substantial challenges for traffic flow prediction. This paper proposes a graph convolutional traffic flow prediction model based on adaptive spatiotemporal attention.
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Am J Med Sci
March 2025
Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, China; Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China. Electronic address:
Background: Insulin resistance is common in critically ill patients. It is not known whether it is associated with the use of invasive ventilation. This study investigated the relationship between the triglyceride glycemic index (TyG) and the risk of invasive ventilator use in critically ill patients admitted to the intensive care unit (ICU).
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