Nutritional risk assessment at admission can predict subsequent muscle loss in critically ill patients

Mukhopadhyay, Amartya; Tai, Bee Choo; Remani, Deepa; Henry, Christiani Jeyakumar; Kowitlawakul, Yanika; Puthucheary, Zudin

doi:10.1038/s41430-018-0144-8

Cited by 11 publications

(13 citation statements)

References 19 publications

(17 reference statements)

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“…The majority of studies reported supine positioning, with eight not referencing any patient positioning. 17,21,22,27–31 Mueller et al. and Turton et al.…”

Section: Resultsmentioning

confidence: 99%

“…Number of images at each anatomical site. Thirteen authors did not state the number of US images obtained 8,15,16,18,21,25,27,[29][30][31]38,42,43 . Four studies acquired measures in duplicate.…”

Section: Image Analysismentioning

confidence: 99%

“…The majority of studies reported supine positioning, with eight not referencing any patient positioning. 17,21,22,[27][28][29][30][31] Mueller et al and Turton et al referenced the head of bed at a 30 and 45 elevation, respectively, 16,32 while one paper reported a 30 -45 head of bed elevation, 19 and another referenced semi-supine positioning. 33 The term 'limb extension' was reported by 21 studies.…”

Section: Patient Population and Study Designmentioning

confidence: 99%

“…Landmarking of anatomical locations and thickness measures were reported by the majority of authors, however the location descriptors were variable (Table 3). The side that image acquisition was carried out was generally bilateral 5,13,14,[21][22][23]26,31,[34][35][36]38,39,41,42 or on the right. 8,12,[15][16][17][18][19][20]32,33,43,44 No studies analysed solely the left side aside from Hayes et al (2018) 37 taking measures from the non-cannulated leg with no further detail of the side used.…”

Section: Ultrasound Proceduresmentioning

confidence: 99%

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Ultrasonography to measure quadriceps muscle in critically ill patients: A literature review of reported methodologies

Weinel

Summers

Chapple

2019

Anaesth Intensive Care

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Muscle wasting in the intensive care unit (ICU) is common and may impair functional recovery. Ultrasonography (US) presents a modern solution to quantify skeletal muscle size and monitor muscle wasting. However, no standardised methodology for the conduct of ultrasound-derived quadriceps muscle layer thickness or cross-sectional area in this population exists. The aim of this study was to compare methodologies reported for the measurement of quadriceps muscle layer thickness (MLT) and cross-sectional area (CSA) using US in critically ill patients. Databases PubMed, Ovid, Embase, and CINAHL were searched for original research publications that reported US-derived quadriceps MLT and/or CSA conducted in critically ill adult patients. Data were extracted from eligible studies on parameters relating to US measurement including anatomical location, patient positioning, operator technique and image analysis. It was identified that there was a clear lack of reported detail and substantial differences in the reported methodology used for all parameters. A standardised protocol and minimum reporting standards for US-derived measurement of quadriceps muscle size in ICU is required to allow for consistent measurement techniques and hence interpretation of results.

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“…The majority of studies reported supine positioning, with eight not referencing any patient positioning. 17,21,22,27–31 Mueller et al. and Turton et al.…”

Section: Resultsmentioning

confidence: 99%

Section: Image Analysismentioning

confidence: 99%

Section: Patient Population and Study Designmentioning

confidence: 99%

Section: Ultrasound Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

Ultrasonography to measure quadriceps muscle in critically ill patients: A literature review of reported methodologies

Weinel

Summers

Chapple

2019

Anaesth Intensive Care

View full text Add to dashboard Cite

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“…There were 13 studies performed in community populations [5][6][7][8][9][10][11][12][13][14][15][16][17] (Table 1), 21 studies in acute care (Table 2), which includes six (n=6) in critical care (intensive care unit (ICU)) [33][34][35][36][37][38] settings (Table 3), three (n=3) in long-term care settings [39][40][41] (Table 4) and five (n=5) in outpatient settings [42][43][44][45][46] (Table 5). Sixteen (n=16) studies were specific to the geriatric population, 5, 6, 8-16, 25, 41, 42, 44, 46 while the rest were on the general adult populations.…”

Section: Resultsmentioning

confidence: 99%

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Wong

Huang

Sowa

et al. 2020

Proceedings of Singapore Healthcare

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Background: There is currently no review published on the prevalence and incidence of malnutrition in Singapore across various populations, or what interventions or policies are in place for preventing/treating malnutrition. Objectives: This review aims to determine the: (a) incidence and prevalence of malnutrition in the community, and in acute, intermediate and long-term care facilities; (b) interventions implemented for screening, assessing and treating/preventing malnutrition; (c) specific clinical populations investigated for malnutrition or nutritional therapy; and (d) implications of malnutrition and effectiveness of treating malnutrition or using nutritional therapy in Singapore. Methods: A structured search strategy was applied to available electronic databases (MEDLINE/PubMed, EMBASE, CINAHL, the Cochrane Library and Google Scholar) using selected search terms, with additional reports and grey literature identified using iterative searches. Results: Forty-two articles were found, with the majority of research performed in the community and acute care settings. Malnutrition screening and assessment is the most common nutritional research performed in Singapore. Approximately 14.7% to 65.0% of acute care and 2.8% to 31.5% of community populations are found to be malnourished. Limited interventional and economic-related studies are available. Conclusion: Malnutrition rates in Singapore appear to be similar to other developed countries. Future studies will need to focus on nutritional intervention, cost-effectiveness analyses and specific populations such as the underprivileged, chronically ill and those dependent on nutritional support.

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Initial development and validation of a novel nutrition risk, sarcopenia, and frailty assessment tool in mechanically ventilated critically ill patients: The NUTRIC‐SF score

Lee

Hasan

Day

et al. 2021

J Parenter Enteral Nutr

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Background: Nutrition risk, sarcopenia, and frailty are interrelated. They may be due to suboptimal or prevented by optimal nutrition intake. The combination of nutrition risk (modified nutrition risk in the critically ill [mNUTRIC]), sarcopenia (SARC-F combined with calf circumference [SARC-CALF]), and frailty (clinical frailty scale [CFS]) in a single score may better predict adverse outcomes and prioritize resources for optimal nutrition in the intensive care unit (ICU) Methods: This is a retrospective analysis of a single-center prospective observational study that enrolled mechanically ventilated adults with expected ≥96 h of ICU stay. SARC-F and CFS questionnaires were administered to patient's next-of-kin and mNU-TRIC were calculated. Right calf circumference was measured. Nutrition data were collected from nursing record. The high-risk scores (mNUTRIC ≥ 5, SARC-CALF > 10, or CFS ≥ 4) of these variables were combined to become the nutrition risk, sarcopenia, and frailty (NUTRIC-SF) score (range: 0-3).Results: Eighty-eight patients were analyzed. Increasing mNUTRIC was independently associated with 60-day mortality, whereas increasing SARC-CALF and CFS showed a strong trend towards a higher 60-day mortality. Discriminative ability of NUTRIC-SF for 60-day mortality is better than its component (C-statistics, 0.722; 95% confidence interval [CI], 0.677-0.868). Every increment of 300 kcal/day and 30 g/day is associated with a trend towards higher rate of discharge alive for high (≥2; adjusted hazard ratio, 1.453 [95% CI, 0.991-2.130] for energy; 1.503 [0.936-2.413] for protein) but not low (<2) NUTRIC-SF score. Conclusion:NUTRIC-SF may be a clinically relevant risk stratification tool in the ICU.

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Nutritional risk assessment at admission can predict subsequent muscle loss in critically ill patients

Cited by 11 publications

References 19 publications

Ultrasonography to measure quadriceps muscle in critically ill patients: A literature review of reported methodologies

Ultrasonography to measure quadriceps muscle in critically ill patients: A literature review of reported methodologies

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Initial development and validation of a novel nutrition risk, sarcopenia, and frailty assessment tool in mechanically ventilated critically ill patients: The NUTRIC‐SF score

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