Estimation of serum iron, serum lipids and serum liver enzymes in celiac disease patients of Saudi Arabia
Autor: | Muhammad Ikram Ullah, Abdullah Alsrhani, Muhammad Atif, Irfan Shaukat, Shahid Hussain, Hasan Ejaz |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Pakistan Journal of Medical Sciences. 38 |
ISSN: | 1681-715X 1682-024X |
DOI: | 10.12669/pjms.38.8.6237 |
Popis: | Objectives: To evaluate the serum biochemical levels in celiac disease (CD) patients. Methods: It was a cross-sectional study carried out on 70 subjects, including 40 patients with CD and 30 healthy controls. This study was conducted at Jouf University from November, 2020 to October, 2021. The collected blood specimens were used to perform serum iron, serum lipids, liver enzymes, and human tissue transglutaminase IgA antibodies (anti-HTTG). The hematological parameters including hematocrit and MCV were determined to establish the diagnosis of iron deficiency. Results: Serum iron was significantly lower in patients as compared to the controls. Serum iron, serum HDL, blood hematocrit and MCV were significantly lower in patients than in controls (p = 0.000). Serum levels of liver enzymes (ALT and AST) and serum human tissue transglutaminase antibodies (anti-HTTG) were significantly higher in patients than in controls (p = 0.000). The correlation studies established the negative correlation of anti-HTTG IgA with serum iron (r = -0.991, p = 0.000), hematocrit (r = -0.967, p = 0.000) and MCV (r = -0.946, p = 0.000) in patients. Conclusion: The serum iron was remarkably reduced in CD patients. A negative correlation was found between anti-HTTG IgA and serum iron, while a positive serum iron was correlated with hematocrit and MCV in CD patients. doi: https://doi.org/10.12669/pjms.38.8.6237 How to cite this:Ullah MI, Alsrhani A, Atif M, Shaukat I, Hussain S, Ejaz H. Estimation of serum iron, serum lipids and serum liver enzymes in celiac disease patients of Saudi Arabia. Pak J Med Sci. 2022;38(8):---------. doi: https://doi.org/10.12669/pjms.38.8.6237 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Databáze: | OpenAIRE |
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