Introduction: Coeliac disease (CD) is a common diagnosis among children and adults in Iraq; however, removal of gluten from the diet is essential for patients with CD. The aim of this study, the first such study in Iraq, was to assess the serological and histological recovery profiles of coeliac patients, in both children and adults groups after commencing a gluten-free diet (GFD) for at least 1 year ± 1 month.
Material And Methods: The study group comprised 78 proved coeliac patients (46 children and 32 adults, median age: 15 years, range: 1-66 years) who all agreed to undergo endoscopy in addition to serological assessment before and after treatment. The duodenal biopsies were interpreted histologically according to modified Marsh criteria and the sera were tested for anti-gliadin antibody (AGA), endomysium antibody (EMA) and anti-tissue transglutaminase antibody (tTG).
Results: Complete histological remission was seen in 29 (63.1%) of 46 treated children CD patients, while only 5 (10.9%) showed Marsh IIIa changes compared with 11 (24%) before GFD. Similarly none of the 32 adults after GFD showed Marsh IIIb and Marsh IIIc compared with 46.9% and 28.1% before treatment respectively (p = 001). Meanwhile, there was strongly significant reduction in AGA, EMA, and tTG antibodies levels (p = 0.00001) following GFD.
Conclusions: Repeating the duodenal biopsy 1 year ±1 month after diagnosis and starting a GFD supports the routine measurement of using histological findings as a gold standard test to confirm recovery of Iraqi CD patients along with using known coeliac serology antibodies.
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http://dx.doi.org/10.5114/aoms.2012.31297 | DOI Listing |
Radiat Oncol
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Department of Radiotherapy and Radiooncology, Medical Faculty, Heinrich Heine University, Moorenstr. 5, 40225, Dusseldorf, Germany.
Background: Medulloblastoma is the most common malignant pediatric brain tumor, typically treated with normofractionated craniospinal irradiation (CSI) with an additional boost over about 6 weeks in children older than 3 years. This study investigates the sensitivity of pediatric medulloblastoma cell lines to different radiation fractionation schedules. While extensively studied in adult tumors, these ratios remain unknown in pediatric cases due to the rarity of the disease.
View Article and Find Full Text PDFTrop Med Health
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Department of Medical Research, Ministry of Health, No.5, Ziwaka Road, Dagon Township, Yangon, 11191, Myanmar.
Background: Myanmar is one of the countries in Southeast Asia where serious dengue outbreaks occur and Yangon is among the regions with the highest number of cases in the country. Many infections including dengue are common in Yangon during the rainy season, and co-infections may also occur. Adults are more likely than children to experience co-infections of dengue and other diseases.
View Article and Find Full Text PDFBMC Public Health
January 2025
Division of General Medicine, University of Michigan Medical School, Ann Arbor, USA.
Background: Modeling studies suggest that hundreds of thousands of U.S. children have lost caregivers since the COVID-19 pandemic began.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Respiratory Medicine, Anting Hospital of Jiading District, 1060 Hejing Road, Anting Town, Jiading District, Shanghai, 201805, China.
Background: Respiratory tract infections (RTIs) are one of the leading causes of morbidity and mortality worldwide. The increase in antimicrobial resistance in respiratory pathogens poses a major challenge to the effective management of these infections.
Objective: To investigate the distribution of major pathogens of RTIs and their antimicrobial resistance patterns in a tertiary care hospital and to develop a mathematical model to explore the relationship between pathogen distribution and antimicrobial resistance.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
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