Evidence map›Paper›PMID 34408447›Full record

ArticleInfection and drug resistance2021

Abnormal Indexes of Liver and Kidney Injury Markers Predict Severity in COVID-19 Patients.

Jian Qu, Hai-Hong Zhu, Xue-Jian Huang, Ge-Fei He, Ji-Yang Liu, Juan-Juan Huang, Ying Chen, Qiang Qu, Ya-Li Wu, Xiang-Yu Chen and 1 more

Abstract read
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Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

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16citing papers in PubMed, 2 pooled it
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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jian Qu *Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China.ORCID 0000-0002-6694-2450
Hai-Hong Zhu *Department of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China.
Xue-Jian HuangDepartment of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China.
Ge-Fei HeDepartment of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People's Republic of China.
Ji-Yang LiuDepartment of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People's Republic of China.
Juan-Juan HuangDepartment of Pharmacy, The First Hospital of Changsha, Changsha, 410005, People's Republic of China.
Ying ChenDepartment of Pharmacy, Wuhan University, Renmin Hospital, Wuhan, 430060, People's Republic of China.
Qiang QuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410007, People's Republic of China.
Ya-Li WuDepartment of Pharmacy, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, People's Republic of China.
Xiang-Yu ChenDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
Qiong LuDepartment of Pharmacy, the Second Xiangya Hospital, Central South University; Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China.ORCID 0000-0002-0126-4978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 can damage not only the lungs but also the liver and kidney. Most critically ill patients with coronavirus disease 2019 (COVID-19) have liver and kidney dysfunction. We aim to investigate the levels of liver and kidney function indexes in mild and severe COVID-19 patients and their capability to predict the severity of the disease.

methodsThe characteristics and laboratory indexes were compared between patients with different conditions. We applied binary logistic regression to find the independent risk factors of severe patients. Receiver operating characteristic (ROC) analysis was used to predict the severity of COVID-19 using the liver and kidney function indexes.

resultsThis study enrolled 266 COVID-19 patients, including 235 mild patients and 31 severe patients. Compared with mild patients, severe patients had lower albumin (ALB) and higher alanine aminotransferase (ALT), aspartate aminotransferase (AST), and urea nitrogen (BUN) (all p<0.001). Binary logistic regression analysis also identified ALB [OR=0.273 (0.079-0.947), p=0.041] and ALT [OR=2.680 (1.036-6.934), p=0.042] as independent factors of severe COVID-19 patients. Combining ALB, ALT, BUN, and LDH exhibited the area under ROC at 0.914, with a sensitivity of 86.7% and specificity of 83.0%.

conclusionCOVID-19 patients, especially severe patients, have damage to liver and kidney function. ALT, AST, LDH, and BUN could be independent factors for predicting the severity of COVID-19. Combining the ALB, ALT, BUN, and LDH could predict the transition from mild to severe in COVID-19 patients.

Indexed as

COVID-19kidney damageliver damagepredictor of disease severity

Identifiers

PMID34408447
PMCPMC8364353

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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.