Evidence map›Paper›PMID 32805722›Full record

ArticleAging2020

Elevated Lactate Dehydrogenase (LDH) level as an independent risk factor for the severity and mortality of COVID-19.

Chang Li, Jianfang Ye, Qijian Chen, Weihua Hu, Lingling Wang, Yameng Fan, Zhanjin Lu, Jie Chen, Zaishu Chen, Shiyan Chen and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 5% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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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

14 authors at 9 institutions in 1 country.

Chang LiDepartment of Cardiology, Hubei No.3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.
Jianfang YeDepartment of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Qijian ChenDepartment of Emergency, The Fifth Hospital in Wuhan, Wuhan 430050, Hubei Province, China.
Weihua HuDepartment of Respiratory, The First Hospital of Yangtze University, Jingzhou 434000, Hubei Province, China.
Lingling WangDepartment of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Yameng FanSchool of Health Sciences, Wuhan University, Wuhan 430071, Hubei Province, China.
Zhanjin LuDepartment of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Jie ChenDepartment of Gastroenterology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Zaishu ChenDepartment of Cardiology, Jiayu People's Hospital, Jiayu 437200, Hubei Province, China.
Shiyan ChenDepartment of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Junlu TongDepartment of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
Wei XiaoDepartment of Cardiology, Hubei No.3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.
Jin MeiCentral Laboratory, Ningbo First Hospital of Zhejiang University, Ningbo 315010, Zhejiang Province, China.
Hongyun LuDepartment of Endocrinology and Metabolism, Zhuhai Hospital Affiliated with Jinan University, Zhuhai People's Hospital, Zhuhai 519000, Guangdong Province, China.
Jianghan University · CNFifth Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CNFifth Hospital In Wuhan · CNFirst Hospital of Jiaxing · CNJinan University · CNNingbo First Hospital · CNWuhan University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of severe patients with coronavirus disease 2019 (COVID-19) is very important for individual treatment. We included 203 patients with COVID-19 by propensity score matching in this retrospective, case-control study. The effects of serum lactate dehydrogenase (LDH) at admission on patients with COVID-19 were evaluated. We found that serum LDH levels had a 58.7% sensitivity and 82.0% specificity, based on a best cut-off of 277.00 U/L, for predicting severe COVID-19. And a cut-off of 359.50 U/L of the serum LDH levels resulted in a 93.8% sensitivity, 88.2% specificity for predicting death of COVID-19. Additionally, logistic regression analysis and Cox proportional hazards model respectively indicated that elevated LDH level was an independent risk factor for the severity (HR: 2.73, 95% CI: 1.25-5.97; P=0.012) and mortality (HR: 40.50, 95% CI: 3.65-449.28; P=0.003) of COVID-19. Therefore, elevated LDH level at admission is an independent risk factor for the severity and mortality of COVID-19. LDH can assist in the early evaluating of COVID-19. Clinicians should pay attention to the serum LDH level at admission for patients with COVID-19.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralBetacoronavirusCase-Control StudiesChinaCOVID-19Diagnostic Tests, RoutineEarly DiagnosisFemaleHumansLactate DehydrogenasesMaleMiddle AgedPatient SelectionReproducibility of ResultsLactate DehydrogenasesCOVID-19lactate dehydrogenasemortalityrisk factorseverity

Identifiers

PMID32805722
PMCPMC7467395
OpenAlexW3049745022

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.