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KMID : 0880420190200071226
Korean Journal of Radiology
2019 Volume.20 No. 7 p.1226 ~ p.1235
Human Bocavirus Infection in Adults: Clinical Features and Radiological Findings
Lee Han-Na

Koo Hyun-Jung
Kim Soo-Hyun
Choi Sang-Ho
Sung Heung-Sup
Do Kyung-Hyun
Abstract
Objective: Human bocavirus (HBoV) is a newly identified pathogen that can cause upper and lower respiratory infections usually in children; however, its clinical characteristics and significance in respiratory infections in adults have not been well known. Our objective was to evaluate the clinical features of respiratory HBoV infection and to describe the CT findings of HBoV pneumonia in adults.

Materials and Methods: A total of 185 adult patients diagnosed with HBoV infection at a tertiary referral center between January 2010 and December 2017 were retrospectively evaluated with respect to the clinical characteristics of HBoV infection and its risk factors for pneumonia. Chest CT findings for 34 patients with HBoV pneumonia without co-infection were analyzed and compared between immunocompetent (n = 18) and immunocompromised (n = 16) patients.

Results: HBoV infections were predominantly noted between February and June. Among the 185 patients with HBoV infection, 119 (64.3%) had community-acquired infections and 110 (59.5%) had pneumonia. In multivariable analysis, older age (odds ratio [OR], 1.02; 95% confidence interval [CI], 1.00?1.04; p = 0.045) and nosocomial infection (OR, 2.07; 95% CI, 1.05?4.10; p = 0.037) were associated with HBoV pneumonia. The main CT findings were bilateral consolidation (70.6%) and/or ground-glass opacities (64.7%); centrilobular nodules (14.7%) were found less frequently. The pattern of CT findings were not significantly different between immunocompetent and immunocompromised patients (all, p > 0.05).

Conclusion: HBoV infection can be a potential respiratory tract infection in adults. The most frequent CT findings of HBoV pneumonia were bilateral consolidation and/or ground-glass opacities.
KEYWORD
Human bocavirus, Pneumonia, Computed tomography
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