↓ Skip to main content

Bullous pyoderma gangrenosum as a predictor of hematological malignancies*

Overview of attention for article published in Anais Brasileiros de Dermatologia, February 2018
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
14 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
Bullous pyoderma gangrenosum as a predictor of hematological malignancies*
Published in
Anais Brasileiros de Dermatologia, February 2018
DOI 10.1590/abd1806-4841.20187031
Pubmed ID
Authors

Aldana Soledad Vacas, María Luz Bollea-Garlatti, Ana Clara Torre, Ricardo Luis Galimberti

Abstract

Pyoderma gangrenosum may precede, coexist or follow diverse systemic diseases. The bullous variety is usually associated with hematologic disorders. From 31 patients with pyoderma gangrenosum diagnosed in our hospital during 10 years, only 2 presented with the bullous type. One patient had previous diagnosis of chronic myeloid leukemia. Both had fast-progressive, painful lesions, and both showed an excellent response to systemic corticosteroids. In less than 3 months the lesions recurred simultaneously with the progression of chronic myeloid leukemia in one patient and with the initial diagnosis of acute myeloid leukemia in the other one. They died in less than four weeks. These findings emphasize the importance of its timely diagnosis. Cutaneous lesions could be the first predictor of an underlying disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Postgraduate 3 21%
Student > Doctoral Student 2 14%
Student > Bachelor 1 7%
Unknown 3 21%
Readers by discipline Count As %
Medicine and Dentistry 9 64%
Engineering 1 7%
Unknown 4 29%