Showing 341 - 360 results of 1,411 for search '"intensive care unit"', query time: 0.08s Refine Results
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    ROUNDS Studies: Relation of OUtcomes with Nutrition Despite Severity—Round One: Ultrasound Muscle Measurements in Critically Ill Adult Patients by Carlos Alfredo Galindo Martín, Reyna del Carmen Ubeda Zelaya, Enrique Monares Zepeda, Octavio Augusto Lescas Méndez

    Published 2018-01-01
    “…Ultrasound has been introduced in the intensive care unit as a tool to assess muscle mass. The aim of the present study is to explore the relation between initial muscle mass and mortality in adult patients admitted to the intensive care unit. …”
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  6. 346

    Factors Affecting ICU Stay and Length of Stay in the ICU in Patients with HELLP Syndrome in a Tertiary Referral Hospital by Elif Ağaçayak, Rezan Bugday, Nurullah Peker, Ugur Deger, Gönül Ölmez Kavak, Mehmet Siddik Evsen, Talip Gul

    Published 2022-01-01
    “…During the study period, 342 patients were diagnosed with HELLP, and 32 (9.4%) of these were followed up in the intensive care unit. The length of stay in the intensive care unit was determined as 8.1 (7.2) days on average. …”
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    Subclinical Left Ventricular Systolic Dysfunction in Patients with Septic Shock Based on Sepsis-3 Definition: A Speckle-Tracking Echocardiography Study by Pham Dang Hai, Le Lan Phuong, Nguyen Manh Dung, Le Thi Viet Hoa, Do Van Quyen, Nguyen Xuan Chinh, Vu Duy Minh, Pham Nguyen Son

    Published 2020-01-01
    “…From May 2017 to December 2018, patients aged ≥18 years admitted to the intensive care unit with the diagnosis of sepsis and septic shock based on the sepsis-3 definition were included. …”
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  16. 356

    Diagnostic Value of High-Sensitivity Troponin T for Subclinical Left Ventricular Systolic Dysfunction in Patients with Sepsis by Pham Dang Hai, Nguyen Thanh Binh, Nguyen Hong Tot, Ha Manh Hung, Le Thi Viet Hoa, Nguyen Viet Quang Hien, Pham Nguyen Son

    Published 2021-01-01
    “…Patients with sepsis based on sepsis-3 definition admitted to the intensive care unit were prospectively performed STE and hs-cTnT level within 24 hours after the onset of sepsis. …”
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    Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

    Published 2024-12-01
    “…Background Predicting the successful weaning of acute kidney injury (AKI) patients from renal replacement therapy (RRT) has emerged as a research focus, and we successfully built predictive models for RRT withdrawal in patients with severe AKI by machine learning.Methods This retrospective single-center study utilized data from our general intensive care unit (ICU) Database, focusing on patients diagnosed with severe AKI who underwent RRT. …”
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