Showing 181 - 200 results of 2,618 for search '"intensive care"', query time: 0.12s Refine Results
  1. 181

    Mechanical Ventilator-Associated Pneumonia in the COVID-19 Pandemic Era: A Critical Challenge in the Intensive Care Units by Mircea Stoian, Adina Andone, Sergiu Rareș Bândilă, Danusia Onișor, Sergiu Ștefan Laszlo, Gabriela Lupu, Alina Danielescu, Dragoș-Florin Baba, Anca Meda Văsieșiu, Andrei Manea, Adina Stoian

    Published 2025-01-01
    “…<b>Background/Objectives:</b> Ventilator-associated pneumonia (VAP) is the most common nosocomial infection encountered in the intensive care unit (ICU) and is associated with prolonged hospitalization and increased mortality. …”
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  2. 182

    Making respiratory care safe for neonatal and paediatric intensive care unit staff: Mitigation strategies and use of filters by Bradley G Carter, Edward Harcourt, Alexandra Harris, Michael Zampetti, Trevor Duke, David Tingay

    Published 2024-01-01
    “…# Background Many medical devices in pediatric and newborn intensive care units can potentially expose healthcare workers (HCWs) and others to transmission of respiratory and other viruses and bacteria. …”
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  3. 183
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    A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit by Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge

    Published 2025-01-01
    “…Abstract The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.…”
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  5. 185

    Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study by Yue Qian, Jing Hao, Wei Zhu, Yan Yang, Zhuan-yun Zhang, Lu-yang Zhou, Xiao-ping Gu, Zheng-liang Ma, Yu-e Sun

    Published 2025-02-01
    “…Abstract Background A single-center retrospective study was designed to investigate the risk factors associated with delayed discharge from the Anesthesia Intensive Care Unit (AICU). Methods This retrospective study involved patients admitted in the AICU from January 2017 to December 2022. …”
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  6. 186

    Prevalence of β-lactam antibiotic resistance of Escherichia coli isolated from a neonatal intensive care unit by Jian Zhou, Jingqian Zhou, Min Chen, Pan Lü, Chunming Jiang

    Published 2025-02-01
    “…Abstract Introduction Escherichia coli (E. coli) causes infections in neonates admitted to neonatal intensive care units (NICUs). Although β-lactam antibiotics are commonly used for neonatal infectious diseases, E. coli has exhibited resistance to them. …”
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    Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit by Su-Jin Park, Kwanhee Han, Junyoung Park, Jonghwan Min, Dufan Wu, Doil Kim, Kyutae Kang, Duhgoon Lee, Rajiv Gupta, Jinwook Jung

    Published 2024-12-01
    “…PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. …”
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    Association of TyG index with mortality at 28 days in sepsis patients in intensive care from MIMIC IV database by Heping Xu, Jinyuan Xie, Yan Xia, Huan Niu, Hong Wang, Feng Zhan

    Published 2025-01-01
    “…Abstract The relationship between the triglyceride‒glucose (TyG) index and the clinical prognosis of septic patients in intensive care units (ICUs) remains unclear. This study aimed to explore the correlation between the TyG index and 28-day all-cause mortality in septic patients. …”
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