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Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis
BACKGROUND: Cryptococcal meningitis causes high mortality in immunocompromised and immunocompetent patients. The objective of this study was to identify early predictors of clinical outcome, available at the first days of hospitalization, in patients with cryptococcal meningitis in a tertiary center...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830130/ https://www.ncbi.nlm.nih.gov/pubmed/35139801 http://dx.doi.org/10.1186/s12879-022-07118-7 |
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author | de Oliveira, Lidiane Melhem, Marcia de Souza Carvalho Buccheri, Renata Chagas, Oscar José Vidal, José Ernesto Diaz-Quijano, Fredi Alexander |
author_facet | de Oliveira, Lidiane Melhem, Marcia de Souza Carvalho Buccheri, Renata Chagas, Oscar José Vidal, José Ernesto Diaz-Quijano, Fredi Alexander |
author_sort | de Oliveira, Lidiane |
collection | PubMed |
description | BACKGROUND: Cryptococcal meningitis causes high mortality in immunocompromised and immunocompetent patients. The objective of this study was to identify early predictors of clinical outcome, available at the first days of hospitalization, in patients with cryptococcal meningitis in a tertiary center in Brazil. METHODS: Ninety-six cases of cryptococcal meningitis with clinical, epidemiological and laboratory data, and identification and antifungal susceptibility of the strains were analyzed. Quantitative CSF yeast counts were performed by direct microscopic exam with a Fuchs-Rosenthal cell counting chamber using an institutional protocol. Univariable and multiple analyses using logistic regression were performed to identify predictors, available at the beginning of hospitalization, of in-hospital mortality. Moreover, we performed a secondary analysis for a composite outcome defined by hospital mortality and intensive care unit transfer. RESULTS: The species and the antifungal susceptibility were not associated with the outcomes evaluated. The variables significantly associated with the mortality were age (OR = 1.08, 95% CI 1.02–1.15), the cerebrospinal fluid (CSF) yeasts count (OR = 1.65, 95% CI 1.20–2.27), systemic arterial hypertension (OR = 22.63, 95% CI 1.64–312.91) and neurological impairment identified by computed tomography (OR = 41.73, 95% CI 3.10–561.65). At the secondary analysis, CSF yeast count was also associated with the composite outcome, in addition to the culture of Cryptococcus spp. from bloodstream and cerebral toxoplasmosis. The associations were consistent with survival models evaluated. CONCLUSIONS: Age and CSF yeast count were independently associated with in-hospital mortality of patients with cryptococcal meningitis but Cryptococcus species identification and antifungal susceptibility were not associated with the outcomes. Quantitative CSF yeast counts used in this study can be evaluated and implemented in other low and middle-income settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07118-7. |
format | Online Article Text |
id | pubmed-8830130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88301302022-02-11 Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis de Oliveira, Lidiane Melhem, Marcia de Souza Carvalho Buccheri, Renata Chagas, Oscar José Vidal, José Ernesto Diaz-Quijano, Fredi Alexander BMC Infect Dis Research BACKGROUND: Cryptococcal meningitis causes high mortality in immunocompromised and immunocompetent patients. The objective of this study was to identify early predictors of clinical outcome, available at the first days of hospitalization, in patients with cryptococcal meningitis in a tertiary center in Brazil. METHODS: Ninety-six cases of cryptococcal meningitis with clinical, epidemiological and laboratory data, and identification and antifungal susceptibility of the strains were analyzed. Quantitative CSF yeast counts were performed by direct microscopic exam with a Fuchs-Rosenthal cell counting chamber using an institutional protocol. Univariable and multiple analyses using logistic regression were performed to identify predictors, available at the beginning of hospitalization, of in-hospital mortality. Moreover, we performed a secondary analysis for a composite outcome defined by hospital mortality and intensive care unit transfer. RESULTS: The species and the antifungal susceptibility were not associated with the outcomes evaluated. The variables significantly associated with the mortality were age (OR = 1.08, 95% CI 1.02–1.15), the cerebrospinal fluid (CSF) yeasts count (OR = 1.65, 95% CI 1.20–2.27), systemic arterial hypertension (OR = 22.63, 95% CI 1.64–312.91) and neurological impairment identified by computed tomography (OR = 41.73, 95% CI 3.10–561.65). At the secondary analysis, CSF yeast count was also associated with the composite outcome, in addition to the culture of Cryptococcus spp. from bloodstream and cerebral toxoplasmosis. The associations were consistent with survival models evaluated. CONCLUSIONS: Age and CSF yeast count were independently associated with in-hospital mortality of patients with cryptococcal meningitis but Cryptococcus species identification and antifungal susceptibility were not associated with the outcomes. Quantitative CSF yeast counts used in this study can be evaluated and implemented in other low and middle-income settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07118-7. BioMed Central 2022-02-09 /pmc/articles/PMC8830130/ /pubmed/35139801 http://dx.doi.org/10.1186/s12879-022-07118-7 Text en © The Author(s) 2022 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 de Oliveira, Lidiane Melhem, Marcia de Souza Carvalho Buccheri, Renata Chagas, Oscar José Vidal, José Ernesto Diaz-Quijano, Fredi Alexander Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title | Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title_full | Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title_fullStr | Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title_full_unstemmed | Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title_short | Early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
title_sort | early clinical and microbiological predictors of outcome in hospitalized patients with cryptococcal meningitis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830130/ https://www.ncbi.nlm.nih.gov/pubmed/35139801 http://dx.doi.org/10.1186/s12879-022-07118-7 |
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