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Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China
Recently, the prevalence trend of pulmonary fungal infection (PFI) has rapidly increased. Changes in the risk factors for, distributions of underlying diseases associated with and clinical characteristics of some individual PFIs have been reported in the past decade. However, data regarding PFIs rem...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971272/ https://www.ncbi.nlm.nih.gov/pubmed/33620282 http://dx.doi.org/10.1080/22221751.2021.1894902 |
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author | Li, Zhengtu Li, Yongming Chen, Yijun Li, Jing Li, Shaoqiang Li, Chenglong Lin, Ye Jian, Wenhua Shi, Jingrong Zhan, Yangqing Cheng, Jing Zheng, Jingping Zhong, Nanshan Ye, Feng |
author_facet | Li, Zhengtu Li, Yongming Chen, Yijun Li, Jing Li, Shaoqiang Li, Chenglong Lin, Ye Jian, Wenhua Shi, Jingrong Zhan, Yangqing Cheng, Jing Zheng, Jingping Zhong, Nanshan Ye, Feng |
author_sort | Li, Zhengtu |
collection | PubMed |
description | Recently, the prevalence trend of pulmonary fungal infection (PFI) has rapidly increased. Changes in the risk factors for, distributions of underlying diseases associated with and clinical characteristics of some individual PFIs have been reported in the past decade. However, data regarding PFIs remain uncertain. This study reports the epidemiological characteristics and trends of PFIs over time in recent years. We applied an automated natural language processing (NLP) system to extract clinically relevant information from the electronic health records (EHRs) of PFI patients at the First Affiliated Hospital of Guangzhou Medical University. Then, a trend analysis was performed. From January 1, 2013, to December 31, 2019, 40,504 inpatients and 219,414 outpatients with respiratory diseases were screened, in which 1368 inpatients and 1313 outpatients with PFI were identified. These patients were from throughout the country, but most patients were from southern China. Upward trends in PFIs were observed in both hospitalized patients and outpatients (P<0.05). The stratification by age showed that the incidence of hospitalized patients aged 14–30 years exhibited the most obvious upward trend, increasing from 9.5 per 1000 patients in 2013 to 88.3 per 1000 patients in 2019. Aspergillosis (56.69%) was the most common PFI, but notably, the incidence rates of Talaromyces marneffei, which used to be considered uncommon, exhibited the most rapid increases. In younger PFI patients, the incidence and trend of PFIs have increased. Infection by previously uncommon pathogens has also gradually increased. Increased attention should be paid to young PFI patients and uncommon PFI pathogen infections. |
format | Online Article Text |
id | pubmed-7971272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-79712722021-03-31 Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China Li, Zhengtu Li, Yongming Chen, Yijun Li, Jing Li, Shaoqiang Li, Chenglong Lin, Ye Jian, Wenhua Shi, Jingrong Zhan, Yangqing Cheng, Jing Zheng, Jingping Zhong, Nanshan Ye, Feng Emerg Microbes Infect Research Article Recently, the prevalence trend of pulmonary fungal infection (PFI) has rapidly increased. Changes in the risk factors for, distributions of underlying diseases associated with and clinical characteristics of some individual PFIs have been reported in the past decade. However, data regarding PFIs remain uncertain. This study reports the epidemiological characteristics and trends of PFIs over time in recent years. We applied an automated natural language processing (NLP) system to extract clinically relevant information from the electronic health records (EHRs) of PFI patients at the First Affiliated Hospital of Guangzhou Medical University. Then, a trend analysis was performed. From January 1, 2013, to December 31, 2019, 40,504 inpatients and 219,414 outpatients with respiratory diseases were screened, in which 1368 inpatients and 1313 outpatients with PFI were identified. These patients were from throughout the country, but most patients were from southern China. Upward trends in PFIs were observed in both hospitalized patients and outpatients (P<0.05). The stratification by age showed that the incidence of hospitalized patients aged 14–30 years exhibited the most obvious upward trend, increasing from 9.5 per 1000 patients in 2013 to 88.3 per 1000 patients in 2019. Aspergillosis (56.69%) was the most common PFI, but notably, the incidence rates of Talaromyces marneffei, which used to be considered uncommon, exhibited the most rapid increases. In younger PFI patients, the incidence and trend of PFIs have increased. Infection by previously uncommon pathogens has also gradually increased. Increased attention should be paid to young PFI patients and uncommon PFI pathogen infections. Taylor & Francis 2021-03-13 /pmc/articles/PMC7971272/ /pubmed/33620282 http://dx.doi.org/10.1080/22221751.2021.1894902 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Zhengtu Li, Yongming Chen, Yijun Li, Jing Li, Shaoqiang Li, Chenglong Lin, Ye Jian, Wenhua Shi, Jingrong Zhan, Yangqing Cheng, Jing Zheng, Jingping Zhong, Nanshan Ye, Feng Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title | Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title_full | Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title_fullStr | Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title_full_unstemmed | Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title_short | Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China |
title_sort | trends of pulmonary fungal infections from 2013 to 2019: an ai-based real-world observational study in guangzhou, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971272/ https://www.ncbi.nlm.nih.gov/pubmed/33620282 http://dx.doi.org/10.1080/22221751.2021.1894902 |
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