Evidence map›Paper›PMID 35761912›Full record

ArticleCureus2022

Maternal and Neonatal Outcomes in Pregnant Women With SARS-CoV-2 Infection Complicated by Hepatic Dysfunction.

Anisha Choudhary, Vinita Singh, Murari Bharadwaj

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Coronavirus disease 2019-associated liver injury in pregnancy: A case report.The Journal of international medical research · 2025
    Article
  3. Article
  4. Article
  5. Liver damage profile in COVID-19 pregnant patients.Cell communication and signaling : CCS · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Observational
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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

3 authors at 1 institution in 1 country.

Anisha ChoudharyObstetrics and Gynecology, Tata Main Hospital, Jamshedpur, IND.
Vinita SinghObstetrics and Gynecology, Tata Main Hospital, Jamshedpur, IND.
Murari BharadwajFamily Medicine, Tata Main Hospital, Jamshedpur, IND.
Tata Main Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective The coronavirus disease 2019 (COVID-19) pandemic has caused one of the most devastating healthcare crises in recent times and presented many diagnostic challenges and uncertainties. COVID-19 complicated by acute hepatic dysfunction is a well-described phenomenon, but its impact on maternal and perinatal outcomes is not well documented. In this study, we aimed to evaluate the maternal and neonatal outcomes in pregnant women with COVID-19 complicated by liver dysfunction and compare those with pregnant women with COVID-19 and normal liver function. Methodology This was a retrospective observational cohort study conducted at the Tata Main Hospital, Jamshedpur, a tertiary care hospital in eastern India. All COVID-19-positive pregnant women (n=249) admitted to the hospital from May 15, 2020, to August 15, 2021, were included in this study. Retrospective data collection was done using the medical records of these COVID-19-positive pregnant women and included the baseline characteristics, past medical history, obstetric history, clinical presentation, laboratory results, management modalities, and maternal and neonatal outcomes. Of note, 107 women were found to have acute liver function abnormality on admission and 142 women had normal liver function tests (LFTs). Pregnant women with normal LFTs were classified as group one and those with deranged LFTs as group two. Characteristics such as age, period of gestation, symptoms, associated comorbidities, laboratory results, management, and outcomes were compared across both groups. Results Out of the total 249 pregnant women with COVID-19 admitted during the study period, 42.97% (n=107) women had laboratory findings consistent with liver dysfunction and 142 women (57.03%) had a normal liver function. Significantly higher levels of lactate dehydrogenase (LDH), C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), alanine transaminase (ALT), aspartate aminotransferase (AST), and total bilirubin levels were seen in pregnant women with hepatic dysfunction when compared to those with normal liver function. Among the 249 patients, the majority were asymptomatic or had mild disease, 12 women had moderate disease, and six women had severe COVID-19. All women with severe COVID-19 had deranged LFTs. There was no statistical difference in terms of obstetric management between pregnant patients with and without liver dysfunction. Out of the 107 women with deranged liver function, 18 women had a preterm birth, four had intrauterine fetal death, and one had neonatal death. Complications such as postpartum hemorrhage, the need for blood transfusions, sepsis and multiorgan failure, and mortality were more commonly seen in the group of pregnant women with hepatic dysfunction associated with COVID-19. Conclusion COVID-19 in pregnancy may cause deranged LFTs in these women. Pregnant women with COVID-19 complicated by liver dysfunction have been reported to have worse inflammation, higher disease severity, and more morbidity and mortality when compared to those without liver dysfunction. They are also at a higher risk of complications such as postpartum hemorrhage, the need for blood transfusion, sepsis, and multiorgan dysfunction.

Indexed as

coronaviruscovid-19hepatic dysfunctionliver dysfunctionmaternal outcomepregnancy

Identifiers

PMID35761912
PMCPMC9233295
OpenAlexW4281572857

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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.