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Posterior reversible encephalopathy syndrome in children with kidney diseases

Overview of attention for article published in Pediatric Nephrology, May 2011
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Title
Posterior reversible encephalopathy syndrome in children with kidney diseases
Published in
Pediatric Nephrology, May 2011
DOI 10.1007/s00467-011-1873-2
Pubmed ID
Authors

Kenji Ishikura, Yuko Hamasaki, Tomoyuki Sakai, Hiroshi Hataya, Robert H. Mak, Masataka Honda

Abstract

Posterior reversible encephalopathy syndrome (PRES) was originally used to describe a reversible, predominantly posterior leukoencephalopathy in patients who had renal insufficiency, hypertension, or who received immunosuppressive therapy. Since PRES is prevalent in children with kidney diseases, awareness and understanding of it is important for practicing pediatric nephrologists. A comprehensive approach to the diagnosis of PRES includes thorough determination of predisposing factors, clinical symptoms, and mandatory appropriate imaging. Unfortunately, the pathophysiology of PRES is still obscure and specificity of radiological examination has not yet been established. Two major predisposing factors, namely hypertension and calcineurin inhibitors, are well recognized. In addition, nephrotic syndrome is a common underlying condition for development of PRES. Frequent symptoms include altered consciousness (coma, stupor, lethargy, confusion), seizure, headache, and visual disturbance. Most of these symptoms usually develop abruptly and resolve within a few weeks after proper management. Cranial magnetic resonance (MR) imaging is the first-line modality of imaging studies for detecting PRES. Diffusion-weighted imaging with quantification of apparent diffusion coefficient (ADC) values by ADC mapping may provide more accurate and specific images in the future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Ph. D. Student 5 13%
Professor 4 10%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 10 26%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 24 62%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 9 23%