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Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency

PURPOSE: Delayed diagnosis of common variable immunodeficiency (CVID) remains a serious problem. We investigated whether some diseases diagnosed during out-patient visits or admission to hospitals could act as indicator conditions for CVID diagnosis. METHODS: In this nested case–control study, we id...

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Autores principales: Dahl, Christina, Petersen, Inge, Ilkjær, Frederik V., Westh, Lena, Katzenstein, Terese L., Hansen, Ann-Brit E., Nielsen, Thyge L., Larsen, Carsten S., Johansen, Isik S., Rasmussen, Line D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661759/
https://www.ncbi.nlm.nih.gov/pubmed/37770805
http://dx.doi.org/10.1007/s10875-023-01590-9
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author Dahl, Christina
Petersen, Inge
Ilkjær, Frederik V.
Westh, Lena
Katzenstein, Terese L.
Hansen, Ann-Brit E.
Nielsen, Thyge L.
Larsen, Carsten S.
Johansen, Isik S.
Rasmussen, Line D.
author_facet Dahl, Christina
Petersen, Inge
Ilkjær, Frederik V.
Westh, Lena
Katzenstein, Terese L.
Hansen, Ann-Brit E.
Nielsen, Thyge L.
Larsen, Carsten S.
Johansen, Isik S.
Rasmussen, Line D.
author_sort Dahl, Christina
collection PubMed
description PURPOSE: Delayed diagnosis of common variable immunodeficiency (CVID) remains a serious problem. We investigated whether some diseases diagnosed during out-patient visits or admission to hospitals could act as indicator conditions for CVID diagnosis. METHODS: In this nested case–control study, we identified 128 cases diagnosed with CVID in Denmark (1999–2013) and 640 age-, gender-, and region-matched controls. We obtained data on diseases diagnosed at hospitals in the five years before CVID diagnosis from The National Hospital Registry. We grouped hospital diagnoses in 33 major disease categories and 210 subcategories. We used conditional logistic regression to calculate the odds ratios (OR) and 95% confidence intervals (CI) to estimate associations between disease exposure and subsequent CVID. RESULTS: During the five years preceding a CVID diagnosis, cases had four times as many hospital contacts as the controls (p < 0.001). A diagnosis in 18 major disease categories showed a significant OR for subsequent diagnosis of CVID. The most substantial association with a subsequent CVID diagnosis was a diagnosis of lower respiratory tract infections (OR: 29.9; 95% CI: 14.2–63.2) and lung diseases (35.1; 15.0–82.5). We observed a similar association when we removed the last year before diagnosis from analysis and overall, in the years < 1, ≥ 1–3, and ≥ 3–5 before diagnosis, although the absolute number of exposures was small. Twenty-eight specific diseases displayed an at least 3-fold risk of subsequent CVID diagnosis. CONCLUSION: Targeted screening for antibody deficiency in patients diagnosed with specific diseases associated with CVID may lead to earlier CVID diagnosis and treatment and thereby potentially reduced morbidity and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-023-01590-9.
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spelling pubmed-106617592023-09-28 Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency Dahl, Christina Petersen, Inge Ilkjær, Frederik V. Westh, Lena Katzenstein, Terese L. Hansen, Ann-Brit E. Nielsen, Thyge L. Larsen, Carsten S. Johansen, Isik S. Rasmussen, Line D. J Clin Immunol Original Article PURPOSE: Delayed diagnosis of common variable immunodeficiency (CVID) remains a serious problem. We investigated whether some diseases diagnosed during out-patient visits or admission to hospitals could act as indicator conditions for CVID diagnosis. METHODS: In this nested case–control study, we identified 128 cases diagnosed with CVID in Denmark (1999–2013) and 640 age-, gender-, and region-matched controls. We obtained data on diseases diagnosed at hospitals in the five years before CVID diagnosis from The National Hospital Registry. We grouped hospital diagnoses in 33 major disease categories and 210 subcategories. We used conditional logistic regression to calculate the odds ratios (OR) and 95% confidence intervals (CI) to estimate associations between disease exposure and subsequent CVID. RESULTS: During the five years preceding a CVID diagnosis, cases had four times as many hospital contacts as the controls (p < 0.001). A diagnosis in 18 major disease categories showed a significant OR for subsequent diagnosis of CVID. The most substantial association with a subsequent CVID diagnosis was a diagnosis of lower respiratory tract infections (OR: 29.9; 95% CI: 14.2–63.2) and lung diseases (35.1; 15.0–82.5). We observed a similar association when we removed the last year before diagnosis from analysis and overall, in the years < 1, ≥ 1–3, and ≥ 3–5 before diagnosis, although the absolute number of exposures was small. Twenty-eight specific diseases displayed an at least 3-fold risk of subsequent CVID diagnosis. CONCLUSION: Targeted screening for antibody deficiency in patients diagnosed with specific diseases associated with CVID may lead to earlier CVID diagnosis and treatment and thereby potentially reduced morbidity and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-023-01590-9. Springer US 2023-09-28 2023 /pmc/articles/PMC10661759/ /pubmed/37770805 http://dx.doi.org/10.1007/s10875-023-01590-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Dahl, Christina
Petersen, Inge
Ilkjær, Frederik V.
Westh, Lena
Katzenstein, Terese L.
Hansen, Ann-Brit E.
Nielsen, Thyge L.
Larsen, Carsten S.
Johansen, Isik S.
Rasmussen, Line D.
Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title_full Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title_fullStr Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title_full_unstemmed Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title_short Missed Opportunities to Diagnose Common Variable Immunodeficiency: a Population-Based Case–Control Study Identifying Indicator Diseases for Common Variable Immunodeficiency
title_sort missed opportunities to diagnose common variable immunodeficiency: a population-based case–control study identifying indicator diseases for common variable immunodeficiency
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661759/
https://www.ncbi.nlm.nih.gov/pubmed/37770805
http://dx.doi.org/10.1007/s10875-023-01590-9
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