Showing 1,401 - 1,411 results of 1,411 for search '"intensive care unit"', query time: 0.06s Refine Results
  1. 1401

    Small Extracellular Vesicles Secreted by iPSC-Derived MSCs Ameliorate Pulmonary Inflammation and Lung Injury Induced by Sepsis through Delivery of miR-125b-5p by Wei Peng, Yun Yang, Jiaquan Chen, Zeyao Xu, Yuanlei Lou, Qi Li, Ning Zhao, Kejian Qian, Fen Liu

    Published 2023-01-01
    “…Sepsis-induced acute lung injury is a common critical illness in intensive care units with no effective treatment is currently available. …”
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  2. 1402

    An outbreak within an outbreak: The impact of Infection Prevention and Control strategies on hospital-acquired infections and the occurrence of multi-drug resistant organisms durin... by B Mashigo, A Parker, U Lalla, B W Allwood, M S Moolla, T Lovelock, C F N Koegelenberg

    Published 2023-12-01
    “…The coronavirus disease 2019 (COVID-19) pandemic placed an unprecedented strain on intensive care units (ICUs) in South Africa. Infection prevention and control (IPC) strategies were highlighted to minimise the risk to healthcare workers and for the protection of patients from contracting hospital-acquired infections (HAIs). …”
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  3. 1403

    Identifying biomarker-driven subphenotypes of cardiogenic shock: analysis of prospective cohorts and randomized controlled trialsResearch in context by Sabri Soussi, Tuukka Tarvasmäki, Antoine Kimmoun, Mojtaba Ahmadiankalati, Feriel Azibani, Claudia C. dos Santos, Kevin Duarte, Etienne Gayat, Jacob C. Jentzer, Veli-Pekka Harjola, Benjamin Hibbert, Christian Jung, Lassus Johan, Bruno Levy, Zihang Lu, Patrick R. Lawler, John C. Marshall, Janine Pöss, Malha Sadoune, Alexis Nguyen, Alexandre Raynor, Katell Peoc'h, Holger Thiele, Rebecca Mathew, Alexandre Mebazaa

    Published 2025-01-01
    “…Methods: We used unsupervised clustering to integrate plasma biomarker data from two prospective cohorts of CS patients: CardShock (N = 205 [2010–2012, NCT01374867]) and the French and European Outcome reGistry in Intensive Care Units (FROG-ICU) (N = 228 [2011–2013, NCT01367093]) to determine the optimal number of classes. …”
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  4. 1404

    Comparison of Pocket Pulse Oximeter and Standard Pulse Oximeter With ABG Analysis in Critically Ill Patients by Jeswanth Reddy N., Kiran H. S., B. J. Subhash Chandra, Basavana Gowdappa H.

    Published 2021-12-01
    “… Background: Pulse oximetry (SpO2) is a standard monitoring device in patients presenting to EMDs and intensive care units (ICUs). Pocket pulse oximeters (PPOs) are used widely in wards, EMDs, and small hospitals/clinics. …”
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  5. 1405

    Status of cerebrovascular autoregulation relates to outcome in severe paediatric head injury: STARSHIP, a prospective multicentre validation studyResearch in context by Shruti Agrawal, Claudia Smith, Stefan Y. Bogli, Michal M. Placek, Manuel Cabeleira, Deborah White, Esther Daubney, Adam Young, Erta Beqiri, Riaz Kayani, Diarmuid O'Donnell, Nazima Pathan, Suzanna Watson, Anna Maw, Matthew Ganrett, Hari Krishan Kanthimathianathan, Harish Bangalore, Santosh Sundararajan, Gayathri Subramanian, Dusan Raffaj, Avishay Sarfatti, Simona Lampareillo, Anton Mayer, Oliver Ross, Marek Czosnyka, Peter J. Hutchinson, Peter Smielewski, Carly Tooke, Caroline Payne, Holly Belfield, Amisha Mistry, Collette Spencer, Claire Jennings, Lara Bunni, Laura Anderson, Emily Morgan, Melanie James, Rebecca Beckley, Tahnima Khatun, Hafiza Khatun, Olivia Nugent, Richard Aldridge, Ruth Morgan, Julie Morcombe, Martin Quinton, Catherine Postlethwaite, Jenny Pond, Jessica Cutler, Caitlin Oxford

    Published 2025-03-01
    “…Methods: Studying Trends of AutoRegulation in Severe Head Injury in Paediatrics (STARSHIP) (clinicalTrials.gov identifier-NCT0688462), was a prospective, multicentre, observational, research database study conducted across 10 identified UK Paediatric Intensive Care Units from 01.07.2018 till 31.04.2024. The main objective was to validate and identify optimal thresholds of PRx associated with outcome (as assessed with Glasgow outcome scale extended for Pediatrics at 12 months) in children (<16 years) requiring invasive arterial blood pressure and intracranial pressure monitoring for TBI and establish a comprehensive research database. …”
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  6. 1406

    Characterization of Pseudomonas aeruginosa Isolates Obtained from Patients in Canadian Hospitals: Results of the CANWARD 2007 Study by Andrew Walkty, Melanie DeCorby, Kim Nichol, Melissa McCracken, Michael R Mulvey, James A Karlowsky, Daryl J Hoban, George G Zhanel

    Published 2009-01-01
    “…METHODS: From January to December 2007 inclusive, 12 sentinel hospitals across Canada submitted clinical isolates from patients attending emergency rooms, medical wards, surgical wards and intensive care units (ICUs) (the Canadian Ward Surveillance Study [CANWARD 2007]). …”
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  7. 1407

    Inter-rater reliability and prognostic value of baseline Radiographic Assessment of Lung Edema (RALE) scores in observational cohort studies of inpatients with COVID-19 by Andrew I Kim, William Bain, Alison Morris, Barbara Methe, Bryan J McVerry, Georgios D Kitsios, Daniel Kotok, Janet S Lee, Nameer Al-Yousif, Christine E Girard, Jana J Jacobs, Konstantin Golubykh, Hafiz Qurashi, Michael Lu, Saketram Komanduri, Anatoliy Korzhuk, Halimat O Lawal, Nicholas Abourizk, Caitlin Schaefer, Kevin J Mitchell, Catherine M Dietz, Ellen K Hughes, Clara S Brandt, Georgia M Fitzgerald, Robin Joyce, Asmaa S Chaudhry, Jose D Rivera, Shruti Shettigar, Allen Lavina, Samantha R Gillenwater, Anas Hadeh, Faraaz A Shah, Matthew Bittner, Niall Prendergast, John Evankovich, Navitha Ramesh, Cathy Kessinger

    Published 2023-01-01
    “…Objectives To reliably quantify the radiographic severity of COVID-19 pneumonia with the Radiographic Assessment of Lung Edema (RALE) score on clinical chest X-rays among inpatients and examine the prognostic value of baseline RALE scores on COVID-19 clinical outcomes.Setting Hospitalised patients with COVID-19 in dedicated wards and intensive care units from two different hospital systems.Participants 425 patients with COVID-19 in a discovery data set and 415 patients in a validation data set.Primary and secondary outcomes We measured inter-rater reliability for RALE score annotations by different reviewers and examined for associations of consensus RALE scores with the level of respiratory support, demographics, physiologic variables, applied therapies, plasma host–response biomarkers, SARS-CoV-2 RNA load and clinical outcomes.Results Inter-rater agreement for RALE scores improved from fair to excellent following reviewer training and feedback (intraclass correlation coefficient of 0.85 vs 0.93, respectively). …”
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  8. 1408

    Etiology of Hospital-Acquired Pneumonia (HAP) and Ventilator-Associated Pneumonia (VAP) in Tertiary-Care Hospitals in Thailand: A Multicenter, Retrospective Cohort Study by Rongrungruang Y, Plongla R, Pleumkanitkul S, Hantrakun V, Khawcharoenporn T

    Published 2025-01-01
    “…After diagnosis of NP, 19 patients were transferred to intensive care units with median length of stays of 11 days (IQR 3– 24 days). …”
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  9. 1409

    The Mechanical Power in Patients with Acute Respiratory Distress Syndrome Undergoing Prone Positioning Can Predict Mortality by Ko-Wei Chang, Shaw-Woei Leu, Han-Chung Hu, Ming-Cheng Chan, Shinn-Jye Liang, Kuang-Yao Yang, Li-Chung Chiu, Wen-Feng Fang, Chau-Chyun Sheu, Ying-Chun Chien, Chung-Kan Peng, Ching-Tzu Huang, Kuo-Chin Kao

    Published 2025-01-01
    “…<b>Methods:</b> This multicenter retrospective study included data on all patients admitted to the intensive care units of eight referral hospitals in Taiwan from October 2015 to March 2016, and in Chang Gung Memorial Hospital Linkou branch from January 2017 to October 2023. …”
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  10. 1410

    The Utility of Neutrophil CD64 and Presepsin as Diagnostic, Prognostic, and Monitoring Biomarkers in Neonatal Sepsis by Heba E. Hashem, Rania M. Abdel Halim, Sherin A. El Masry, Amira M. Mokhtar, Noureldin M. Abdelaal

    Published 2020-01-01
    “…To evaluate the diagnostic, prognostic, and monitoring performance of both neutrophil CD64 (nCD64) and presepsin as sepsis biomarkers compared to each other and to the conventional laboratory sepsis parameters aiming to decide which is the best fitting for routine daily use in neonatal intensive care units (NICUs). Methods. 235 neonates were enrolled from three Egyptian neonatal ICUs, during the period from November 2015 till March 2018; they were classified into two main groups: the control group (n = 102) and the sepsis group (n = 133). …”
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  11. 1411

    A Predictive Model for Pulmonary Aspergillosis in ICU Patients: A Multicenter Retrospective Cohort Study by Li Y, Ren X, Wang Q, Shen S, Li Y, Qian X, Tang Y, Jia J, Zhang H, Ding J, Song Y, Zhang S, Wang S, Xu Y, Jiang Y, He X, Dai M, Zhong L, Xiong Y, Pan Y, Wang M, Shao H, Cai H, Huang L, Wang H

    Published 2025-01-01
    “…This study aimed to develop a risk prediction model for IPA by integrating clinical and microbiological characteristics.Methods: This retrospective study was conducted in adult intensive care units (ICUs) of 17 medical centers in China. …”
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