Evidence map›Paper›PMID 34656370›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2022

Nutrition therapy in the intensive care unit during the COVID-19 pandemic: Findings from the ISIIC point prevalence study.

Kensuke Nakamura, Keibun Liu, Hajime Katsukawa, Peter Nydahl, Eugene Wesley Ely, Sapna R Kudchadkar, Shigeaki Inoue, Alan Kawarai Lefor, Osamu Nishida

Open access · bronzeAbstract read
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 4 countries.

Kensuke NakamuraDepartment of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Ibaraki, Japan.
Keibun LiuCritical Care Research Group, Faculty of Medicine, University of Queensland and the Prince Charles Hospital, Brisbane, Australia. Electronic address: keiliu0406@gmail.com.
Hajime KatsukawaJapanese Society for Early Mobilization, Tokyo, Japan.
Peter NydahlNursing Research, Department of Anesthesiology and Intensive Care Medicine, University Hospital of Schleswig-Holstein, Kiel, Germany.
Eugene Wesley ElyCritical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University School of Medicine, Nashville, TN, USA; Geriatric Research Education and Clinical Center (GRECC), Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, USA.
Sapna R KudchadkarDepartment of Anesthesiology and Critical Care Medicine, Department of Physical Medicine and Rehabilitation, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shigeaki InoueEmergency and Critical Care Center, Kobe University Hospital, Kobe, Japan; Department of Disaster and Emergency Medicine, Kobe University, Graduate School of Medicine, Kobe, Japan.
Alan Kawarai LeforDepartment of Surgery, Jichi Medical University, Tochigi, Japan.
Osamu NishidaDepartment of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Fujita Health University · JPHitachi General Hospital · JPJichi Medical University · JPJohns Hopkins University · USKobe University Hospital · JPThe University of Queensland · AUUniversity Hospital Schleswig-Holstein · DEVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsNutrition therapy for Intensive Care Unit (ICU) patients involves complex decision-making, especially during the COVID-19 pandemic. We investigated the use of nutrition therapy in ICU patients with and without COVID-19 infections.

methodsNutrition therapy was evaluated during a world-wide one-day prevalence study focused on implementation of the ABCDEF bundle (A: regular pain assessment, B: both spontaneous awakening and breathing trials, C: regular sedation assessment, D: regular delirium assessment, E: early mobility and exercise, and F: family engagement and empowerment) during the COVID-19 pandemic. Basic ICU and patient demographics including nutrition therapy delivery were collected on the survey day. Physical activity for patients with and without COVID infections was categorized using the ICU mobility scale (IMS). Multivariable regression analysis of nutrition was conducted using ICU parameters.

resultsThe survey included 627 non-COVID and 602 COVID patients. A higher proportion of COVID-19 patients received energy ≥20 kcal/kg/day (55% vs. 45%; p = 0.0007) and protein ≥1.2 g/kg/day (45% vs. 35%; p = 0.0011) compared to non-COVID patients. Enteral nutrition was provided to most COVID patients even with prone positioning (91%). Despite nutrition therapy, IMS was extremely low in both groups; median IMS was 1 in non-COVID patients and 0 in COVID patients. The rate of energy delivery ≥20 kcal/kg/day was significantly higher in patients with COVID-19 infections in the subgroup of ICU days ≤5 days and IMS ≤2. Having a dedicated ICU nutritionist/dietitian was significantly associated with appropriate energy delivery in patients both with and without COVID-19 infections, but not with protein delivery.

conclusionDuring the COVID-19 pandemic, patients with COVID-19 infections received higher energy and protein delivery. Generally low mobility levels highlight the need to optimize early mobilization with nutrition therapy in all ICU patients.

Indexed as

COVID-19Critical IllnessCross-Sectional StudiesEnteral NutritionHumansIntensive Care UnitsPandemicsPrevalenceCOVID-19Critical careEnergyMobilityNutritionProtein

Identifiers

PMID34656370
PMCPMC8474754
OpenAlexW3204180720

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.