Evidence map›Paper›PMID 36289394›Full record

ArticleScientific reports2022

Clinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge.

Justin Y Lu, Scott L Ho, Alexandra Buczek, Roman Fleysher, Wei Hou, Kristina Chacko, Tim Q Duong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Liver dysfunction in adults with COVID-19 infection: A longitudinal study with transient elastography evaluation.JGH open : an open access journal of gastroenterology and hepatology · 2024
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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 at 3 institutions in 1 country.

Justin Y LuDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210Th St, Bronx, NY, 10467, USA.
Scott L HoDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210Th St, Bronx, NY, 10467, USA.
Alexandra BuczekDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210Th St, Bronx, NY, 10467, USA.
Roman FleysherDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210Th St, Bronx, NY, 10467, USA.
Wei HouDepartment of Family, Population and Preventive Medicine, Stony Brook Medicine, Stony Brook, NY, USA.
Kristina ChackoDivision of Hepatology, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Tim Q DuongDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 E 210Th St, Bronx, NY, 10467, USA. Tim.duong@einsteinmed.org.
Albert Einstein College of Medicine · USMontefiore Medical Center · USStony Brook Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated whether acute liver injury (ALI) persisted and identified predictors of ALI recovery [as indicated by alanine aminotransferase (ALT) level] at hospital discharge and 2 months post-discharge for 7595 hospitalized COVID-19 patients from the Montefiore Health System (03/11/2020-06/03/2021). Mild liver injury (mLI) was defined as ALT = 1.5-5 ULN, and severe livery injury (sLI) was ALT ≥ 5 ULN. Logistic regression was used to identify predictors of ALI onset and recovery. There were 4571 (60.2%), 2306 (30.4%), 718 (9.5%) patients with no liver injury (nLI), mLI and sLI, respectively. Males showed higher incidence of sLI and mLI (p < 0.05). Mortality odds ratio was 4.15 [95% CI 3.41, 5.05, p < 0.001] for sLI and 1.69 [95% CI 1.47, 1.96, p < 0.001] for mLI compared to nLI. The top predictors (ALT, lactate dehydrogenase, ferritin, lymphocytes) accurately predicted sLI onset up to three days prior. Only 33.5% of mLI and 17.1% of sLI patients (survivors) recovered completely at hospital discharge. Most ALI patients (76.7-82.4%) recovered completely ~ 2 months post-discharge. The top predictors accurately predicted recovery post discharge with 83.2 ± 2.2% accuracy. In conclusion, most COVID-19 patients with ALI recovered completely ~ 2 months post discharge. Early identification of patients at-risk of persistent ALI could help to prevent long-term liver complications.

Indexed as

COVID-19Liver DiseasesAftercareAlanine TransaminaseFerritinsHospitalsHumansLactate DehydrogenasesLiver Function TestsMalePatient DischargeRetrospective StudiesAlanine TransaminaseFerritinsLactate Dehydrogenases

Identifiers

PMID36289394
PMCPMC9606373
OpenAlexW4307567164

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.