Evidence map›Paper›PMID 32633729›Full record

Observational studyAging2020

Lactate dehydrogenase, an independent risk factor of severe COVID-19 patients: a retrospective and observational study.

Yi Han, Haidong Zhang, Sucheng Mu, Wei Wei, Chaoyuan Jin, Chaoyang Tong, Zhenju Song, Yunfei Zha, Yuan Xue, Guorong Gu

Registry-linked trialOpen access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04470583 (Evaluation of Clinical Parameters Following COVID-19 Infection in Pregnancy), which is not on this map. Cited by 166 papers, 23 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 23 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT04470583 unknown statusnot on this map

Evaluation of Clinical Parameters Following COVID-19 Infection in Pregnancy (COpregVID)

TypeobservationalSponsorChelsea and Westminster NHS Foundation TrustRan2020 to 2021Enrolled116ConditionsCOVID-19, 2019 Novel Coronavirus Infection, COVID-19 Infection
3 · Its place in the literature

Who cites it

166 citing papers in PubMed, 23 syntheses or guidelines pooled it, 284 citations in OpenAlex.

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  10. Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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  15. Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19.Clinica chimica acta; international journal of clinical chemistry · 2020
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106 more citing papers are in PubMed but not listed here.

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

10 authors at 6 institutions in 1 country.

Yi HanEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Haidong ZhangDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
Sucheng MuEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Wei WeiEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Chaoyuan JinEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Chaoyang TongEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Zhenju SongEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Yunfei ZhaDepartment of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
Yuan XueEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Guorong GuEmergency Department, Zhongshan Hospital, Fudan University, Shanghai 20032, China.
Sun Yat-sen University · CNZhongshan Hospital · CNFudan University · CNRenmin Hospital of Wuhan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization has declared coronavirus disease 2019 (COVID-19) a public health emergency of global concern. Updated analysis of cases might help identify the risk factors of illness severity.

resultsThe median age was 63 years, and 44.9% were severe cases. Severe patients had higher APACHE II (8.5 vs. 4.0) and SOFA (2 vs. 1) scores on admission. Among all univariable parameters, lymphocytes, CRP, and LDH were significantly independent risk factors of COVID-19 severity. LDH was positively related both with APACHE II and SOFA scores, as well as P/F ratio and CT scores. LDH (AUC = 0.878) also had a maximum specificity (96.9%), with the cutoff value of 344.5. In addition, LDH was positively correlated with CRP, AST, BNP and cTnI, while negatively correlated with lymphocytes and its subsets.

conclusionsThis study showed that LDH could be identified as a powerful predictive factor for early recognition of lung injury and severe COVID-19 cases.

methodsWe extracted data regarding 107 patients with confirmed COVID-19 from Renmin Hospital of Wuhan University. The degree of severity of COVID-19 patients (severe vs. non-severe) was defined at the time of admission according to American Thoracic Society guidelines for community acquired pneumonia.

Indexed as

BetacoronavirusBiomarkersCoronavirus InfectionsCOVID-19HumansL-Lactate DehydrogenaseMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesRisk FactorsSARS-CoV-2Severity of Illness IndexBiomarkersL-Lactate Dehydrogenasecoronavirus disease 2019COVID-19inflammatory responselactate dehydrogenase (LDH)lung injury

Identifiers

PMID32633729
PMCPMC7343511
OpenAlexW3037780771

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.