Evidence map›Paper›PMID 37867496›Full record

ArticleFrontiers in nutrition2023

The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam.

Lan Huong Thi Nguyen, Anh Kim Dang, Tien Viet Tran, Hai Thanh Phan, Dao Anh Thi Doan, Lien Bao Thi Nguyen, Anh Minh Tran, Tung Dinh Do, Thang Ba Nguyen, Tien Thanh Nguyen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 3 institutions in 2 countries.

Lan Huong Thi NguyenSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Anh Kim DangSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Tien Viet TranSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Hai Thanh PhanSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Dao Anh Thi DoanDepartment of Nutrition, Thanh Nhan General Hospital, Hanoi, Vietnam.
Lien Bao Thi NguyenIntensive Care Unit and Poison Control, Saint Paul General Hospital, Hanoi, Vietnam.
Anh Minh TranDepartment of Nutrition, Saint Paul General Hospital, Hanoi, Vietnam.
Tung Dinh DoSaint Paul General Hospital, Hanoi, Vietnam.
Thang Ba NguyenIntensive Care Unit and Poison Control, Saint Paul General Hospital, Hanoi, Vietnam.
Tien Thanh NguyenDepartment of Nutrition, Saint Paul General Hospital, Hanoi, Vietnam.
Binh Huy NguyenDepartment of Physiology, Hanoi Medical University, Hanoi, Vietnam.
Huong Thi LeSchool of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Hanoi Medical University · VNKhanh Hoa General Hospital · VNUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As sufficient nutrition helps alleviate catabolic stress and modulate the systemic inflammatory response of the body, it plays an indispensable role in the good prognosis of critically ill patients. Thus, this study aimed to investigate the malnutrition of patients with severe COVID-19 and its association with adverse treatment outcomes. Methods: We conducted a retrospective cross-sectional study in two provincial hospitals in Hanoi from February to April 2022. Participants were patients with severe COVID-19 admitted to the Intensive Care Unit (ICU). Malnutrition risk were evaluated by Nutritional Risk Screening-2002 (NRS), Global Leadership Initiative on Malnutrition (GLIM), Prognostic Nutritional Index (PNI), and the adverse prognosis was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II). The multivariate receiver-operating characteristic (ROC) curve was applied to estimate the predictive ability of those criteria regarding worse treatment results. Results: The percentages of malnutrition measured by NRS, GLIM, PNI, and BMI were 62.6, 51.5, 42.9, and 16.6%, respectively. Patients with more severe malnutrition assessed by GLIM, PNI, and having above target fasting blood glucose (FBG) (≥10.0 mmol/L) were more likely to have higher APACHE scores. PNI had a better diagnostic performance than NRS and BMI (AUC = 0.84, 0.81, and 0.82, respectively). In addition, FBG revealed a good prognostic implication (AUC = 0.84). Conclusion: A relatively high percentage of patients experienced moderate and severe malnutrition regardless of screening tools. Individuals at higher risk of malnutrition and high FBG were predicted to have more adverse treatment outcomes. It is recommended that nutritional screening should be conducted regularly, and personalizing nutritional care strategies is necessary to meet patients' nutrient demands and prevent other nutrition-related complications.

Indexed as

COVID-19Nutritional Risk Screening (NRS)nutritional statusPrognostic Nutritional Index (PNI)The Global Leadership Initiative on Malnutrition (GLIM)Vietnam

Identifiers

PMID37867496
PMCPMC10585166
OpenAlexW4387366204

What OpenQuestion holds

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LicenceCC BY
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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.