Cargando…

Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients

Pulmonary cryptococcosis in the non-human immunodeficiency virus-infected population is uncommon. We aimed to explore the relevance between clinical presentations, radiological findings, and comorbidities and identify the outcome predictors. A total of 321 patients at Taichung Veterans General Hospi...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Chun, Yang, Tsung-Ying, Chan, Ming-Cheng, Hsu, Kuo-Hsuan, Huang, Yen-Hsiang, Tseng, Jeng-Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399630/
https://www.ncbi.nlm.nih.gov/pubmed/34436197
http://dx.doi.org/10.3390/jof7080657
_version_ 1783745124070588416
author Lin, Chun
Yang, Tsung-Ying
Chan, Ming-Cheng
Hsu, Kuo-Hsuan
Huang, Yen-Hsiang
Tseng, Jeng-Sen
author_facet Lin, Chun
Yang, Tsung-Ying
Chan, Ming-Cheng
Hsu, Kuo-Hsuan
Huang, Yen-Hsiang
Tseng, Jeng-Sen
author_sort Lin, Chun
collection PubMed
description Pulmonary cryptococcosis in the non-human immunodeficiency virus-infected population is uncommon. We aimed to explore the relevance between clinical presentations, radiological findings, and comorbidities and identify the outcome predictors. A total of 321 patients at Taichung Veterans General Hospital between 2005 and 2019 were included; of them, 204 (63.6%) had at least one comorbidity, while 67 (20.9%) had two or more. The most common comorbidities were diabetes mellitus (27.4%), malignant solid tumor (19.6%), autoimmune disease (15.6%), and chronic kidney disease (8.4%). Patients experiencing comorbidity, particularly those with multiple comorbidities, had a higher multilobar and extrapulmonary involvement, which could explain these patients being more symptomatic. In the overall population, extrapulmonary involvement independently predicted disease recurrence and death. Amongst patients with isolated pulmonary cryptococcosis, age, cryptococcal antigen (CrAg) titer in blood, and comorbidities not only predicted the extent of disease, but also its outcome. Of note, patients simultaneously with age ≥ 65 years, CrAg test ≥ 1:128, and multiple comorbidities had the lowest disease control of antifungal treatment (76.9%) and the highest rate of disease recurrence or death from any cause (40.0%). In conclusion, approximately two-thirds of patients had at least one underlying comorbidity. In addition to extrapulmonary involvement, old age, high CrAg titer in blood, and multiple comorbidities could act as risk factors for predicting the extent of disease and outcome.
format Online
Article
Text
id pubmed-8399630
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-83996302021-08-29 Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients Lin, Chun Yang, Tsung-Ying Chan, Ming-Cheng Hsu, Kuo-Hsuan Huang, Yen-Hsiang Tseng, Jeng-Sen J Fungi (Basel) Article Pulmonary cryptococcosis in the non-human immunodeficiency virus-infected population is uncommon. We aimed to explore the relevance between clinical presentations, radiological findings, and comorbidities and identify the outcome predictors. A total of 321 patients at Taichung Veterans General Hospital between 2005 and 2019 were included; of them, 204 (63.6%) had at least one comorbidity, while 67 (20.9%) had two or more. The most common comorbidities were diabetes mellitus (27.4%), malignant solid tumor (19.6%), autoimmune disease (15.6%), and chronic kidney disease (8.4%). Patients experiencing comorbidity, particularly those with multiple comorbidities, had a higher multilobar and extrapulmonary involvement, which could explain these patients being more symptomatic. In the overall population, extrapulmonary involvement independently predicted disease recurrence and death. Amongst patients with isolated pulmonary cryptococcosis, age, cryptococcal antigen (CrAg) titer in blood, and comorbidities not only predicted the extent of disease, but also its outcome. Of note, patients simultaneously with age ≥ 65 years, CrAg test ≥ 1:128, and multiple comorbidities had the lowest disease control of antifungal treatment (76.9%) and the highest rate of disease recurrence or death from any cause (40.0%). In conclusion, approximately two-thirds of patients had at least one underlying comorbidity. In addition to extrapulmonary involvement, old age, high CrAg titer in blood, and multiple comorbidities could act as risk factors for predicting the extent of disease and outcome. MDPI 2021-08-13 /pmc/articles/PMC8399630/ /pubmed/34436197 http://dx.doi.org/10.3390/jof7080657 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Chun
Yang, Tsung-Ying
Chan, Ming-Cheng
Hsu, Kuo-Hsuan
Huang, Yen-Hsiang
Tseng, Jeng-Sen
Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title_full Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title_fullStr Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title_full_unstemmed Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title_short Comprehensive Analysis and Risk Identification of Pulmonary Cryptococcosis in Non-HIV Patients
title_sort comprehensive analysis and risk identification of pulmonary cryptococcosis in non-hiv patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399630/
https://www.ncbi.nlm.nih.gov/pubmed/34436197
http://dx.doi.org/10.3390/jof7080657
work_keys_str_mv AT linchun comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients
AT yangtsungying comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients
AT chanmingcheng comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients
AT hsukuohsuan comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients
AT huangyenhsiang comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients
AT tsengjengsen comprehensiveanalysisandriskidentificationofpulmonarycryptococcosisinnonhivpatients