1989
DOI: 10.1007/bf02024330
|View full text |Cite
|
Sign up to set email alerts
|

Chronic granulomatous disease of childhood: Gastric manifestation and response to salazosulfapyridine therapy

Abstract: The case history of a 10-year-old boy with chronic granulomatous disease (CGD) and gastric obstruction is presented. First abdominal symptoms occurred at 4 years of age when antral narrowing was detected. Due to unresponsiveness to antibiotic and steroid treatment, salazosulfapyridine therapy was initiated. Objective remission was observed within 3 months and salazosulfapyridine was withdrawn after a further 6 months of therapy. At 6 years of age clinical and radiological recurrence of gastric obstruction was … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2001
2001
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(3 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…Narrowing of the gastric antrum is a rare but distinctive manifestation of chronic septic granulomatosis, as reported in the literature [4,5,6,7,8,9,10,11].…”
Section: Discussionmentioning
confidence: 83%
“…Narrowing of the gastric antrum is a rare but distinctive manifestation of chronic septic granulomatosis, as reported in the literature [4,5,6,7,8,9,10,11].…”
Section: Discussionmentioning
confidence: 83%
“…Salazosulfapyridine has been successfully used in the management of gastric lesions in CGD patients. 7 TMP-SMZ was recently reported to have anti-in¯ammatory activity, which is probably the reason for its success in the treatment of Wegener's granulomatosis. 8 This property, together with its antimicrobial activity, could explain its unique, well-recognized bene®ts on the longterm survival of CGD patients.…”
Section: Abbreviations Cgdmentioning
confidence: 99%
“…Digital and computational pathology has enabled precise tissue quantification through deep learning (DL) models that segment normal and abnormal functional tissue units, such as glomeruli, tubules, arteries, and peritubular capillaries [13][14][15] . Pathomic features, which are quantitative attributes from pathology images, capture morphological and structural characteristics of kidney structures 1,15,16 . These features represent the heterogeneity of kidney structural changes and can be extracted from segmented functional tissue units.…”
Section: Introductionmentioning
confidence: 99%