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Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai
BACKGROUND: Rare diseases are ailments which impose a heavy burden on individual patients and global society as a whole. The rare disease management landscape is not a smooth one—a rare disease is quite often hard to diagnose, treat, and investigate. In China, the country’s rapid economic rise and d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186176/ https://www.ncbi.nlm.nih.gov/pubmed/34103049 http://dx.doi.org/10.1186/s13023-021-01830-4 |
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author | Cai, Xiaoshu Genchev, Georgi Z. He, Ping Lu, Hui Yu, Guangjun |
author_facet | Cai, Xiaoshu Genchev, Georgi Z. He, Ping Lu, Hui Yu, Guangjun |
author_sort | Cai, Xiaoshu |
collection | PubMed |
description | BACKGROUND: Rare diseases are ailments which impose a heavy burden on individual patients and global society as a whole. The rare disease management landscape is not a smooth one—a rare disease is quite often hard to diagnose, treat, and investigate. In China, the country’s rapid economic rise and development has brought an increased focus on rare diseases. At present, there is a growing focus placed on the importance and public health priority of rare diseases and on improving awareness, definitions, and treatments. METHODS: In this work we utilized clinical data from the Shanghai HIE System to characterize the status of 33 rare diseases with effective treatment in Shanghai for the time period of 2013–2016. RESULTS AND CONCLUSION: First, we describe the total number of patients, year-to-year change in new patients with diagnosis in one of the target diseases and the distribution of gender and age for the top six (by patient number) diseases of the set of 33 rare diseases. Second, we describe the hospitalization burden in terms of in-hospital ratio, length of stay, and medical expenses during hospitalization. Finally, rare disease period prevalence is calculated for the rare diseases set. |
format | Online Article Text |
id | pubmed-8186176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81861762021-06-10 Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai Cai, Xiaoshu Genchev, Georgi Z. He, Ping Lu, Hui Yu, Guangjun Orphanet J Rare Dis Research BACKGROUND: Rare diseases are ailments which impose a heavy burden on individual patients and global society as a whole. The rare disease management landscape is not a smooth one—a rare disease is quite often hard to diagnose, treat, and investigate. In China, the country’s rapid economic rise and development has brought an increased focus on rare diseases. At present, there is a growing focus placed on the importance and public health priority of rare diseases and on improving awareness, definitions, and treatments. METHODS: In this work we utilized clinical data from the Shanghai HIE System to characterize the status of 33 rare diseases with effective treatment in Shanghai for the time period of 2013–2016. RESULTS AND CONCLUSION: First, we describe the total number of patients, year-to-year change in new patients with diagnosis in one of the target diseases and the distribution of gender and age for the top six (by patient number) diseases of the set of 33 rare diseases. Second, we describe the hospitalization burden in terms of in-hospital ratio, length of stay, and medical expenses during hospitalization. Finally, rare disease period prevalence is calculated for the rare diseases set. BioMed Central 2021-06-08 /pmc/articles/PMC8186176/ /pubmed/34103049 http://dx.doi.org/10.1186/s13023-021-01830-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cai, Xiaoshu Genchev, Georgi Z. He, Ping Lu, Hui Yu, Guangjun Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title | Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title_full | Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title_fullStr | Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title_full_unstemmed | Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title_short | Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai |
title_sort | demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in shanghai |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186176/ https://www.ncbi.nlm.nih.gov/pubmed/34103049 http://dx.doi.org/10.1186/s13023-021-01830-4 |
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