Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China
Rattachement africain : cn, cz, mo, es, us, fr, tr, ca. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
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Où se fait cette recherche
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First Affiliated Hospital of Guangzhou Medical University pays non établi dans la noticeÉtablissement de santé
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Guangzhou Medical University pays non établi dans la noticeUniversité ou école supérieure
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Institute of Hydrobiology pays non établi dans la noticeStructure de recherche
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Xinjiang University pays non établi dans la noticeUniversité ou école supérieure
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Macau University of Science and Technology pays non établi dans la noticeUniversité ou école supérieure
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Guizhou University pays non établi dans la noticeUniversité ou école supérieure
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South China Agricultural University pays non établi dans la noticeUniversité ou école supérieure
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Shenyang Pharmaceutical University pays non établi dans la noticeUniversité ou école supérieure
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Kunming University of Science and Technology pays non établi dans la noticeUniversité ou école supérieure
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Qingdao University pays non établi dans la noticeUniversité ou école supérieure
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Jiangsu University pays non établi dans la noticeUniversité ou école supérieure
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Guangzhou University of Chinese Medicine pays non établi dans la noticeUniversité ou école supérieure
First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University et Institute of Hydrobiology, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.