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Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations

Psoriasis is a chronic disease with high impact on patients’ health and their quality of life. Psoriasis often occurs along with other comorbidities, but it is not yet clear what role the comorbidities play in regional psoriasis prevalence. This study investigates the temporal and regional variation...

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Autores principales: Augustin, Jobst, Wolf, Sandra, Stephan, Brigitte, Augustin, Matthias, Andrees, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939781/
https://www.ncbi.nlm.nih.gov/pubmed/35316303
http://dx.doi.org/10.1371/journal.pone.0265741
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author Augustin, Jobst
Wolf, Sandra
Stephan, Brigitte
Augustin, Matthias
Andrees, Valerie
author_facet Augustin, Jobst
Wolf, Sandra
Stephan, Brigitte
Augustin, Matthias
Andrees, Valerie
author_sort Augustin, Jobst
collection PubMed
description Psoriasis is a chronic disease with high impact on patients’ health and their quality of life. Psoriasis often occurs along with other comorbidities, but it is not yet clear what role the comorbidities play in regional psoriasis prevalence. This study investigates the temporal and regional variation of the psoriasis comorbidities diabetes mellitus type II, obesity, hypertension, affective disorders in Germany and their association with psoriasis prevalence. This analysis based on the population set of ambulatory claims data (2010–2017) of the statutory health insurance (SHI) in Germany (approx. 70.3 million people in 2017). Psoriasis comorbidities rates were determined on county level. We performed descriptive spatiotemporal analyses of psoriasis comorbidity prevalence rates. In addition, we identified and compared spatial clusters and examined regional variations using spatial statistical methods. The results show strong regional variations (northeast to south gradient) and an increasing psoriasis prevalence (max. 28.8%) within the observation period. Considering the comorbidities, results indicate comparable spatial prevalence patterns for diabetes mellitus type II, obesity and hypertension. This means that the highest prevalence of comorbidities tends to be found where the psoriasis prevalence is highest. The spatiotemporal cluster analyses could once again confirm the results. An exception to this is to be found in the case of affective disorders with different spatial patterns. The results of the studies show the first spatiotemporal association between psoriasis prevalence and comorbidities in Germany. The causalities must be investigated in more detail in order to be able to derive measures for improved care.
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spelling pubmed-89397812022-03-23 Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations Augustin, Jobst Wolf, Sandra Stephan, Brigitte Augustin, Matthias Andrees, Valerie PLoS One Research Article Psoriasis is a chronic disease with high impact on patients’ health and their quality of life. Psoriasis often occurs along with other comorbidities, but it is not yet clear what role the comorbidities play in regional psoriasis prevalence. This study investigates the temporal and regional variation of the psoriasis comorbidities diabetes mellitus type II, obesity, hypertension, affective disorders in Germany and their association with psoriasis prevalence. This analysis based on the population set of ambulatory claims data (2010–2017) of the statutory health insurance (SHI) in Germany (approx. 70.3 million people in 2017). Psoriasis comorbidities rates were determined on county level. We performed descriptive spatiotemporal analyses of psoriasis comorbidity prevalence rates. In addition, we identified and compared spatial clusters and examined regional variations using spatial statistical methods. The results show strong regional variations (northeast to south gradient) and an increasing psoriasis prevalence (max. 28.8%) within the observation period. Considering the comorbidities, results indicate comparable spatial prevalence patterns for diabetes mellitus type II, obesity and hypertension. This means that the highest prevalence of comorbidities tends to be found where the psoriasis prevalence is highest. The spatiotemporal cluster analyses could once again confirm the results. An exception to this is to be found in the case of affective disorders with different spatial patterns. The results of the studies show the first spatiotemporal association between psoriasis prevalence and comorbidities in Germany. The causalities must be investigated in more detail in order to be able to derive measures for improved care. Public Library of Science 2022-03-22 /pmc/articles/PMC8939781/ /pubmed/35316303 http://dx.doi.org/10.1371/journal.pone.0265741 Text en © 2022 Augustin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Augustin, Jobst
Wolf, Sandra
Stephan, Brigitte
Augustin, Matthias
Andrees, Valerie
Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title_full Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title_fullStr Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title_full_unstemmed Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title_short Psoriasis comorbidities in Germany: A population-based study on spatiotemporal variations
title_sort psoriasis comorbidities in germany: a population-based study on spatiotemporal variations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939781/
https://www.ncbi.nlm.nih.gov/pubmed/35316303
http://dx.doi.org/10.1371/journal.pone.0265741
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