Evidence map›Paper›PMID 32989838›Full record

ArticleJournal of clinical laboratory analysis2021

Prediction of adverse clinical outcomes in patients with coronavirus disease 2019.

Si Shi, Xiaohui Liu, Jinling Xiao, Hongwei Wang, Liyan Chen, Jianing Li, Kaiyu Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  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

7 authors.

Si ShiThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiaohui LiuThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jinling XiaoThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-8891-5293
Hongwei WangThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Liyan ChenThe Infectious Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jianing LiThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kaiyu HanThe Respiratory Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

Natural Science Foundation of Heilongjiang province H2018019
6 · The paper itself

Abstract

objectiveThis study aims to investigate blood and biochemical laboratory findings in patients with coronavirus disease (COVID-19) and analyze the potential predictors of poor outcome in patients with COVID-19.

methodsThe clinical, laboratory, and outcome data of 87 patients with COVID-19 were collected and retrospectively analyzed. Only data collected at the time of admission were used in the analysis for predictors of poor outcome. These patients were divided into two groups: the adverse prognosis group (36 patients) and the non-adverse prognosis group (51 patients). The adverse prognosis of COVID-19 patients was defined as admission to the intensive care unit or death.

resultsOn the univariate analysis, age, white blood cell (WBC) count, neutrophil counts, lymphocytes count, neutrophils-to-lymphocytes ratio (NLR), interleukin-6, albumin-to-globulin ratio (AGR), albumin, lactate dehydrogenase, glutamyl transpeptidase, and blood glucose were found to be the significant predictors. On the multivariate analysis, the predictors of poor outcome of patients with COVID-19 were NLR (OR = 2.741, [95% CI = 1.02 ~ 7.35], P = .045) and IL-6 (OR = 1.405, [95% CI = 1.04 ~ 1.89, P = .025]). The receiver operating characteristic (ROC) curve revealed that the AUC of NLR, interleukin-6, pneumonia severity index (PSI) score, and Confusion-Urea-Respiratory Rate-Blood pressure-65 (CURB-65) score were 0.883, 0.852, 0.824, and 0.782, respectively.

conclusionHigh interleukin-6 (6 pg/mL, cuff value) and NLR (4.48, cuff value) can be used to predict poor outcomes in patients with COVID-19 on admission, thus can serve as a beneficial tool for timely identifying COVID-19 patients prone to poor outcome and reduce patient mortality through early intervention.

Indexed as

AdultAgedAged, 80 and overBlood Chemical AnalysisCOVID-19FemaleHumansIntensive Care UnitsInterleukin-6Leukocyte CountLymphocyte CountMaleMiddle AgedMultivariate AnalysisNeutrophilsPrognosisIL6 protein, humanInterleukin-6Confusion-Urea-Respiratory Rate-Blood pressure-65coronavirus disease-2019interleukin-6neutrophil-to-lymphocyte ratioprognosis factors

Identifiers

PMID32989838
PMCPMC7536920

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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.