Evidence map›Paper›PMID 35509397›Full record

ArticleHealth science reports2022

Geriatric Nutritional Risk Index assessment in elderly patients during the COVID-19 outbreak.

Yajun Yuan, Junjie Mao, Xueqing Ou, Lili Huang, Qiuyun Tu, Nan Wang

Open access · goldAbstract read
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Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yajun YuanDepartment of Interventional Medicine, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.
Junjie MaoDepartment of Interventional Medicine, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.
Xueqing OuDepartment of Interventional Medicine, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.
Lili HuangDepartment of Interventional Medicine, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.
Qiuyun TuGuangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.
Nan WangGuangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital Sun Yat-sen University Zhuhai China.ORCID 0000-0002-1735-6105
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Globally, coronavirus disease-2019 (COVID-19) is persistent in many countries and presents a major threat to public health. Critically, elderly individuals, especially those with underlying disease, poor nutritional and immune functions, are highly susceptible. Therefore, we analyzed the epidemiological features in elderly COVID-19 patients. Methods: In total, 126 patients were recruited in the Fifth Affiliated Hospital of Sun Yat-sen University, China from January 2020 to March 2020 (including 103 confirmed COVID-19 patients and 23 elderly suspected cases). Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. We assessed nutritional risks in elderly patients by calculating the Geriatric Nutritional Risk Index (GNRI). Results: When compared with young patients, elderly patients were more likely to have underlying comorbidities and received nutritional support and intensive care unit treatment. Elderly patients had significantly lower levels of the following: lymphocyte percentages, red blood cell counts, hemoglobin levels, and serum albumin values. When compared with suspected COVID-19 elderly cases, elderly patients had significantly lower red blood cell counts and hemoglobin levels. The average GNRI of suspected cases and confirmed patients indicated no nutritional risk. There were no marked differences in GNRI values between groups. Conclusion: Nutritional risk assessments may provide valuable information for predicting a COVID-19 prognosis, especially in elderly patients. Anemia prevention and management should be actively and timely provided. GNRI is a potentially prognostic factor for hospitalized elderly patients. Moreover, it is also important to follow up discharged patients for continuous nutritional observations.

Indexed as

aginganemiaCOVID‐19Geriatric Nutritional Risk IndexSARS‐CoV‐2

Identifiers

PMID35509397
PMCPMC9059217
OpenAlexW4223991339

What OpenQuestion holds

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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.