↓ Skip to main content

Hemolysis, Elevated Liver Enzymes, Low Platelets Syndrome Superimposed on Hemolytic Uremic Syndrome

Overview of attention for article published in Revista Brasileira de Ginecologia e Obstetrícia, March 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Hemolysis, Elevated Liver Enzymes, Low Platelets Syndrome Superimposed on Hemolytic Uremic Syndrome
Published in
Revista Brasileira de Ginecologia e Obstetrícia, March 2017
DOI 10.1055/s-0037-1600124
Pubmed ID
Authors

Inês Martins, Madalena Gomes Conceição, Paulo Pereira Gomes, Nuno Clode

Abstract

A pregnancy complicated by typical hemolytic uremic syndrome (HUS) and hemolysis, elevated liver enzymes, low platelets (HELLP) syndrome is reported. At 20 weeks of gestation, a case of HUS was diagnosed, with Shiga toxin-producing Escherichia coli identified. Plasmapheresis allowed continuation of the pregnancy for 5 weeks. Superimposed preeclampsia and HELLP syndrome were diagnosed after the establishment of nephrotic range proteinuria, hypertension and recurrence of hemolysis. This is a singular case, as it demonstrates that HELLP syndrome can superimpose upon HUS, a fact that can impact future research on reproductive immunology. It also reminds clinicians that the overlapping of clinical and laboratory findings in HELLP syndrome makes the diagnosis of other thrombotic microangiopathies during pregnancy a clinical challenge.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 8%
Unknown 12 92%
Readers by discipline Count As %
Medicine and Dentistry 1 8%
Unknown 12 92%