Corpus overview


MeSH Disease

Human Phenotype


There are no transmission terms in the subcorpus

    displaying 1 - 2 records in total 2
    records per page

    COVID-19 causing HELLP-like syndrome MESHD in pregnancy and role of angiogenic factors for differential diagnosis

    Authors: Francesc Figueras; Elisa LLurba; Raigam Martinez-Portilla; Josefina Mora; Fatima Crispi; Eduard Gratacos

    doi:10.1101/2020.07.10.20133801 Date: 2020-07-11 Source: medRxiv

    Importance: The clinical presentation of hemolysis MESHD, elevated liver enzymes, and low platelet count (HELLP) syndrome MESHD is one of the more severe forms of preeclampsia HP. COVID-19 infection MESHD exhibits signs that are shared with preeclampsia HP preeclampsia MESHD and HELLP syndrome MESHD, which may lead to needless interventions and iatrogenic preterm delivery. Objective: We evaluated the prevalence SERO of HELLP-like signs in pregnant women admitted for COVID-19 and the value of angiogenic factors to rule out preeclampsia HP. Methods: a consecutive series of 27 pregnant women beyond 20 weeks of gestation, with symptomatic COVID-19. Clinical and analytical features were recorded and those cases with signs of HELLP syndrome MESHD were tested for sFlt-1/PlGF ratio. Results: Seven patients (25.9%) presented at least one sign of suspected HELLP syndrome MESHD, of which 2 (7.4%) were diagnosed clinically with PE because of hypertension HP hypertension MESHD and high transaminases and 5 (18.5%) had only elevated transaminases. sFlt-1/PlGF ratio was normal in 6 of 7. Conclusion: Symptomatic COVID-19 may simulate severe preeclampsia HP in pregnancy. Angiogenic factors may be essential to avoid false diagnosis and needless interventions. These data were presented in a Virtual Symposium on Covid-19 and Pregnancy on 17 April: 2020:( [Spanish] and [English]

    Placental pathology in COVID-19

    Authors: Elisheva D Shanes; Leena B Mithal; Sebastian Otero; Hooman A Azad; Emily S Miller; Jeffery A Goldstein

    doi:10.1101/2020.05.08.20093229 Date: 2020-05-12 Source: medRxiv

    Objectives: To describe histopathologic findings in the placentas of women with COVID-19 during pregnancy. Methods: Pregnant women with COVID-19 delivering between March 18, 2020 and May 5, 2020 were identified. Placentas were examined and compared to historical controls and women with placental evaluation for a history of melanoma HP melanoma MESHD. Results: 16 placentas from patients with SARS-CoV-2 were examined (15 with live birth in the 3rd trimester 1 delivered in the 2nd trimester after intrauterine fetal demise). Compared to controls, third trimester placentas were significantly more likely to show at least one feature of maternal vascular malperfusion (MVM), including abnormal or injured maternal vessels, as well as delayed villous maturation, chorangiosis, and intervillous thrombi MESHD. Rates of acute and chronic inflammation MESHD were not increased. The placenta from the patient with intrauterine fetal demise showed villous edema MESHD edema HP and a retroplacental hematoma MESHD. Conclusions: Relative to controls, COVID-19 placentas show increased prevalence SERO of features of maternal vascular malperfusion (MVM), a pattern of placental injury reflecting abnormalities in oxygenation within the intervillous space associated with adverse perinatal outcomes. Only 1 COVID-19 patient was hypertensive MESHD despite the association of MVM with hypertensive disorders MESHD and preeclampsia HP. These changes may reflect a systemic inflammatory or hypercoagulable state influencing placental physiology.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from and is updated on a daily basis (7am CET/CEST).
The web page can also be accessed via API.



MeSH Disease
Human Phenotype

Export subcorpus as...

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.