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Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study
INTRODUCTION: Partial IgA deficiency (pIgAD), including selective IgA deficiency, is one of the most common types of immunodeficiency. Early detection is crucial to prevent complications, such as recurrent infections and anaphylactic reactions to blood derivatives. MATERIAL AND METHODS: Useful scree...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792431/ https://www.ncbi.nlm.nih.gov/pubmed/33456330 http://dx.doi.org/10.5114/ceji.2020.97908 |
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author | M. MATSUDA, KAZUKI ARIOKA, HIROKO KOBAYASHI, DAIKI |
author_facet | M. MATSUDA, KAZUKI ARIOKA, HIROKO KOBAYASHI, DAIKI |
author_sort | M. MATSUDA, KAZUKI |
collection | PubMed |
description | INTRODUCTION: Partial IgA deficiency (pIgAD), including selective IgA deficiency, is one of the most common types of immunodeficiency. Early detection is crucial to prevent complications, such as recurrent infections and anaphylactic reactions to blood derivatives. MATERIAL AND METHODS: Useful screening methods have not yet been established. We conducted a single-center retrospective observational study, with low serum IgA patients to clarify the risk factors of pIgAD among patients with low serum levels of IgA. All patients with low serum IgA levels treated in our outpatient clinic from April 2010 to March 2016 were retrospectively reviewed using electronic medical records. We performed c(2) tests and Student’s t-tests for the univariate analysis, logistic regression analysis using the multiple imputation method for the multivariate analysis, and receiver operating characteristic (ROC) curve analysis. RESULTS: The univariate analysis showed statistically significant differences between the pIgAD group and the non-pIgAD group in age, gender, blood cell counts, serum protein levels, and renal function tests. The multivariate analysis revealed that female gender, a white blood cell counts lower than 10,000/µl, and a hemoglobin level of 10.0-15.0 g/dl are predictive factors of pIgAD. CONCLUSIONS: After estimating any missing data using the multiple imputation method, age younger than 60 years old was also statistically significant. ROC curve analysis confirmed the validity of the model used in our multivariate analysis. When clinicians encounter low serum IgA patients who are female, of younger age, and have normal blood cell counts, and hemoglobin levels, they should suspect the existence of pIgAD. |
format | Online Article Text |
id | pubmed-7792431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-77924312021-01-15 Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study M. MATSUDA, KAZUKI ARIOKA, HIROKO KOBAYASHI, DAIKI Cent Eur J Immunol Clinical Immunology INTRODUCTION: Partial IgA deficiency (pIgAD), including selective IgA deficiency, is one of the most common types of immunodeficiency. Early detection is crucial to prevent complications, such as recurrent infections and anaphylactic reactions to blood derivatives. MATERIAL AND METHODS: Useful screening methods have not yet been established. We conducted a single-center retrospective observational study, with low serum IgA patients to clarify the risk factors of pIgAD among patients with low serum levels of IgA. All patients with low serum IgA levels treated in our outpatient clinic from April 2010 to March 2016 were retrospectively reviewed using electronic medical records. We performed c(2) tests and Student’s t-tests for the univariate analysis, logistic regression analysis using the multiple imputation method for the multivariate analysis, and receiver operating characteristic (ROC) curve analysis. RESULTS: The univariate analysis showed statistically significant differences between the pIgAD group and the non-pIgAD group in age, gender, blood cell counts, serum protein levels, and renal function tests. The multivariate analysis revealed that female gender, a white blood cell counts lower than 10,000/µl, and a hemoglobin level of 10.0-15.0 g/dl are predictive factors of pIgAD. CONCLUSIONS: After estimating any missing data using the multiple imputation method, age younger than 60 years old was also statistically significant. ROC curve analysis confirmed the validity of the model used in our multivariate analysis. When clinicians encounter low serum IgA patients who are female, of younger age, and have normal blood cell counts, and hemoglobin levels, they should suspect the existence of pIgAD. Termedia Publishing House 2020-07-27 2020 /pmc/articles/PMC7792431/ /pubmed/33456330 http://dx.doi.org/10.5114/ceji.2020.97908 Text en Copyright © 2020 Termedia http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (http://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Clinical Immunology M. MATSUDA, KAZUKI ARIOKA, HIROKO KOBAYASHI, DAIKI Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title | Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title_full | Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title_fullStr | Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title_full_unstemmed | Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title_short | Risk factors of partial IgA deficiency among low serum IgA patients: a retrospective observational study |
title_sort | risk factors of partial iga deficiency among low serum iga patients: a retrospective observational study |
topic | Clinical Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792431/ https://www.ncbi.nlm.nih.gov/pubmed/33456330 http://dx.doi.org/10.5114/ceji.2020.97908 |
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