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Genetic Risk Surveillance for Invasive Aspergillosis in Hematology Patients: A Prospective Observational Study
INTRODUCTION: The association between genetic background and the risk of invasive aspergillosis (IA) has not been addressed in Thailand. We conducted genetic risk surveillance for IA among Thai hematologic patients. METHODS: We conducted a prospective observational cohort study including moderate- t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680473/ https://www.ncbi.nlm.nih.gov/pubmed/32860206 http://dx.doi.org/10.1007/s40121-020-00331-4 |
Sumario: | INTRODUCTION: The association between genetic background and the risk of invasive aspergillosis (IA) has not been addressed in Thailand. We conducted genetic risk surveillance for IA among Thai hematologic patients. METHODS: We conducted a prospective observational cohort study including moderate- to high-risk hematology patients at Ramathibodi Hospital. IA occurrence, relevant clinical data, and genetic analyses were assessed. Odds ratios (ORs) of IA were assessed for the presence of the selected single nucleotide polymorphism genotype using logistic regression. RESULTS: A total of 357 patients were enrolled. The most common hematologic disease was non-Hodgkin lymphoma (45.1%). IA was diagnosed in 36 patients (10.10%). The C allele of IL10(rs1800896) was associated with an increased risk of IA (adjusted OR 5.297; 95% confidence interval [CI] 2.032–13.809, p = 0.001). In multivariate Cox regression analysis, prolonged neutropenia and the C allele of IL10(rs1800896) were associated with IA (hazard ratio [HR] 12.585; 95% CI 3.866–40.967, p < 0.001 and HR 2.449; 95% CI 1.097–5.468, p = 0.042, respectively). CONCLUSIONS: Carrying the C allele of IL10(rs1800896) was associated with an increased risk of IA among moderate- to high-risk Thai patients with hematologic diseases. This finding can potentially lead to a novel risk stratification scheme to further prevent IA in resource-limited settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40121-020-00331-4) contains supplementary material, which is available to authorized users. |
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