Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Albany, Georgia, USA.
Division of Infectious Diseases, University of Colorado, Aurora, Colorado, USA.
Mycoses. 2022 Aug;65(8):815-823. doi: 10.1111/myc.13476. Epub 2022 Jun 19.
It is unclear if there is an association between COVID-19 and cryptococcosis. Therefore, this study aimed to describe the clinical features, risk factors, and outcomes associated with cryptococcosis in hospitalised patients with COVID-19. The objectives of this study were to determine the incidence of and examine factors associated with cryptococcosis after a diagnosis of COVID-19. We used TriNetX to identify and sort patients 18 years and older hospitalised with COVID-19 into two cohorts based on the presence or absence of a diagnosis of cryptococcosis following diagnosis of COVID-19. Outcomes of interest included the incidence of cryptococcosis following the diagnosis of COVID-19 as well as the proportion of patients in each group who had underlying comorbidities, received immunomodulatory therapy, required ICU admission or mechanical ventilation (MV), or died. Propensity score matching was used to adjust for confounding. Among 212,479 hospitalised patients with COVID-19, 65 developed cryptococcosis. The incidence of cryptococcosis following COVID-19 was 0.022%. Patients with cryptococcosis were more likely to be male and have underlying comorbidities. Among cases, 32% were people with HIV. Patients with cryptococcosis were more likely to have received tocilizumab (p < .0001) or baricitinib (p < .0001), but not dexamethasone (p = .0840). ICU admission (38% vs 29%), MV (23% vs 11%), and mortality (36% vs 14%) were significantly higher among patients with cryptococcosis. Mortality remained elevated after adjusted propensity score matching. Cryptococcosis occurred most often in hospitalised patients with COVID-19 who had traditional risk factors, comparable to findings in patients without COVID-19. Cryptococcosis was associated with increased ICU admission, MV, and mortality.
目前尚不清楚 COVID-19 与隐球菌病之间是否存在关联。因此,本研究旨在描述住院 COVID-19 患者中隐球菌病的临床特征、危险因素和结局。本研究的目的是确定 COVID-19 诊断后隐球菌病的发生率,并检查其相关因素。我们使用 TriNetX 从年龄在 18 岁及以上的住院 COVID-19 患者中识别并根据 COVID-19 诊断后是否存在隐球菌病诊断,将其分为两个队列。感兴趣的结局包括 COVID-19 诊断后隐球菌病的发生率以及每组中存在潜在合并症、接受免疫调节治疗、需要 ICU 入院或机械通气 (MV) 或死亡的患者比例。采用倾向评分匹配来调整混杂因素。在 212479 例住院 COVID-19 患者中,有 65 例发生隐球菌病。COVID-19 后隐球菌病的发生率为 0.022%。患有隐球菌病的患者更可能为男性且存在潜在合并症。在病例中,32%是 HIV 感染者。患有隐球菌病的患者更可能接受托珠单抗(p<0.0001)或巴瑞替尼(p<0.0001),但不是地塞米松(p=0.0840)。患有隐球菌病的患者 ICU 入院(38% vs. 29%)、MV(23% vs. 11%)和死亡率(36% vs. 14%)明显更高。经调整后的倾向评分匹配后死亡率仍居高不下。隐球菌病最常发生在具有传统危险因素的住院 COVID-19 患者中,与未患 COVID-19 的患者相似。隐球菌病与 ICU 入院、MV 和死亡率增加有关。