Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cai, Xiaoshu, Genchev, Georgi Z., He, Ping, Lu, Hui, Yu, Guangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783704909624901632
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
work_keys_str_mv AT caixiaoshu demographicsinhospitalanalysisandprevalenceof33rarediseaseswitheffectivetreatmentinshanghai
AT genchevgeorgiz demographicsinhospitalanalysisandprevalenceof33rarediseaseswitheffectivetreatmentinshanghai
AT heping demographicsinhospitalanalysisandprevalenceof33rarediseaseswitheffectivetreatmentinshanghai
AT luhui demographicsinhospitalanalysisandprevalenceof33rarediseaseswitheffectivetreatmentinshanghai
AT yuguangjun demographicsinhospitalanalysisandprevalenceof33rarediseaseswitheffectivetreatmentinshanghai