Evidence map›Paper›PMID 32914892›Full record

ArticleJournal of clinical laboratory analysis2020

The Prognostic Nutritional Index is associated with mortality of COVID-19 patients in Wuhan, China.

Ruoran Wang, Min He, Wanhong Yin, Xuelian Liao, Bo Wang, Xiaodong Jin, Yao Ma, Jirong Yue, Lang Bai, Dan Liu and 3 more

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  4. Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: Results from single-center experience with systematic review and meta-analysis.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2021
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  8. The ability of the prognostic nutritional index to predict short-term mortality in geriatric acute heart failure.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
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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

13 authors.

Ruoran WangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Min HeDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Wanhong YinDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xuelian LiaoDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Bo WangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xiaodong JinDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yao MaCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, Chengdu, China.
Jirong YueCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, Chengdu, China.
Lang BaiCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, Chengdu, China.
Dan LiuCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, Chengdu, China.
Ting ZhuDepartment of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Zhixin HuangDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China.
Yan KangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-5715-3900

Funding

West China Hospital HX2019nCoV027
6 · The paper itself

Abstract

backgroundDeclared as pandemic by WHO, the coronavirus disease 2019 (COVID-19) pneumonia has brought great damage to human health. The uncontrollable spread and poor progression of COVID-19 have attracted much attention from all over the world. We designed this study to develop a prognostic nomogram incorporating Prognostic nutritional index (PNI) in COVID-19 patients.

methodsPatients confirmed with COVID-19 and treated in Renmin Hospital of Wuhan University from January to February 2020 were included in this study. We used logistic regression analysis to find risk factors of mortality in these patients. A prognostic nomogram was constructed and receiver operating characteristics (ROC) curve was drawn to evaluate the predictive value of PNI and this prognostic model.

resultsComparison of baseline characteristics showed non-survivors had higher age (P < .001), male ratio (P = .038), neutrophil-to-lymphocyte ratio (NLR) (P < .001), platelet-to-lymphocyte ratio (PLR) (P < .001), and PNI (P < .001) than survivors. In the multivariate logistic regression analysis, independent risk factors of mortality in COVID-19 patients included white blood cell (WBC) (OR 1.285, P = .039), PNI (OR 0.790, P = .029), LDH (OR 1.011, P < .015). These three factors were combined to build the prognostic model. Area under the ROC curve (AUC) of only PNI and the prognostic model was 0.849 (95%Cl 0.811-0.888) and 0.950 (95%Cl 0.922-0.978), respectively. And calibration plot showed good stability of the prognostic model.

conclusionThis research indicates PNI is independently associated with the mortality of COVID-19 patients. Prognostic model incorporating PNI is beneficial for clinicians to evaluate progression and strengthen monitoring for COVID-19 patients.

Indexed as

AdultAgedBetacoronavirusChinaCohort StudiesCoronavirus InfectionsCOVID-19FemaleHumansInflammationMaleMiddle AgedNutrition AssessmentPandemicsPneumonia, ViralPrognosisCOVID-19markerprognosisPrognostic nutritional index

Identifiers

PMID32914892
PMCPMC7595894

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.