Background: Malnutrition rates for critically ill patients being admitted to the intensive care unit (ICU) are reported to range from 38% to 78%. Malnutrition in the ICU is associated with increased mortality, morbidity, length of hospital admission, and ICU readmission rates. The high volume of ICU admissions means that efficient screening processes to identify patients at nutritional or malnutrition risk are imperative to appropriately prioritise nutrition intervention. As the proportion of noninvasively mechanically ventilated patients in the ICU increases, the feasibility of using nutrition risk screening tools in this population needs to be established.
Objectives: The aim of this study was to compare the feasibility of using the Malnutrition Universal Screening Tool (MUST) with the modified NUtriTion Risk In the Critically ill (mNUTRIC) score for identifying patients at nutritional or malnutrition risk in this population.
Methods: A single-centre, prospective, descriptive, feasibility study was conducted. The MUST and mNUTRIC tool were completed within 24 h of ICU admission in a convenience sample of noninvasively mechanically ventilated adult patients (≥18 years) by a trained allied health assistant. The number (n) of eligible patients screened, time to complete screening (minutes), and barriers to completion were documented. Data are presented as mean (standard deviation), and the independent samples t-test was used for comparisons between tools.
Results: Twenty patients were included (60% men; aged 65.3 [13.9] years). Screening using the MUST took a significantly shorter time to complete than screening using the mNUTRIC tool (8.1 [2.8] vs 22.1 [5.6] minutes; p = 0.001). Barriers to completion included obtaining accurate weight history for the MUST and time taken for collection of information and overall training requirements to perform mNUTRIC.
Conclusions: The MUST took less time and had fewer barriers to completion than mNUTRIC. The MUST may be the more feasible nutrition risk screening tool for use in noninvasively mechanically ventilated critically ill adults.
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http://dx.doi.org/10.1016/j.aucc.2021.03.004 | DOI Listing |
Int J Cardiol Heart Vasc
February 2025
The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, Zefat, Israel.
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January 2025
Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Human cerebral organoids serve as a quintessential model for deciphering the complexities of brain development in a three-dimensional milieu. However, imaging these organoids, particularly when they exceed several millimeters in size, has been curtailed by the technical impediments such as phototoxicity, slow imaging speeds, and inadequate resolution and imaging depth. Addressing these pivotal challenges, our study has pioneered a high-speed scanning microscope, synergistically coupled with advanced computational image processing.
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January 2025
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
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February 2025
Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China. Electronic address:
Wearable microneedle array (MNA) based electrochemical sensors have gained increasing attention for their capability to analyze biomarkers in the interstitial fluid (ISF), enabling noninvasive, continuous monitoring of health parameters. However, challenges such as nonspecific adsorption of biomolecules on the sensor surfaces and the risk of infection at the microneedle penetration sites hinder their practical application. Herein, a wearable dual-layer microneedle patch was prepared to overcome these issues by integrating an antimicrobial microneedle layer with an antifouling sensing layer.
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January 2025
Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, People's Republic of China.
Non-invasive continuous detection using tears or sweat as substitutes for blood samples has become an emerging method for real-time monitoring of human health. However, its development is limited by the low sample volume and low level of analytes. The simultaneous determination of multi-analytes with highly sensitive electrochemical sensing platforms has undoubtedly resulted in breakthrough innovations.
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