JOURNAL ARTICLE
Predicting Progression of STEC-HUS: Use of Shiga Toxin Subtype and Routine Laboratory Screening.
Published In: Journal of the Pediatric Infectious Diseases Society, 2025, v. 14, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Maleknia, Lydia; Samiezade-Yazd, Zahra; Luu, Xing; Cranshaw, Matthew; Weintraub, Miranda Ritterman; Greenhow, Tara L 3 of 3
Abstract
This article focuses on identifying Shiga toxin-producing Escherichia coli (STEC) toxin profiles and clinical factors associated with the progression to hemolytic uremic syndrome (HUS) in children to inform evidence-based screening guidelines. In a retrospective study of 1,071 children under 18 with STEC-positive stool, the highest risk of HUS was linked to E. coli O157 strains producing Shiga toxin 2 (stx2), either alone or with stx1, and non-O157 strains producing stx2; conversely, non-O157 strains producing only stx1 carried negligible HUS risk. Clinical predictors of HUS included age under 5 years, vomiting, dehydration, and abnormal blood counts and chemistry, while abnormal urinalysis and elevated blood pressure were not independently associated. The authors recommend that laboratories report specific stx results to aid clinicians in risk stratification and suggest targeted laboratory monitoring primarily for children with stx2-positive STEC, emphasizing anticipatory guidance and hydration to prevent HUS progression.
Additional Information
- Source:Journal of the Pediatric Infectious Diseases Society. 2025/04, Vol. 14, Issue 4, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2025
- ISSN:2048-7193
- DOI:10.1093/jpids/piaf022
- Accession Number:185320810
- Copyright Statement:Copyright of Journal of the Pediatric Infectious Diseases Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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