The emergence of parvovirus B19 as a pathogen in acute encephalitis syndrome

Author:

Dey Sayantika1,Mohanty Monalisa1,Mamidi Prabhudutta1,Naik Suprava2,Gupta Kavita1,Dwibedi Bhagirathi3,Devi Sujata4,Mahapatra Ashoka1,Das Rashmi Ranjan3,Behera Bijayini1,Bhoi Sanjeev Kumar5,Mishra Baijayantimala1ORCID

Affiliation:

1. Department of Microbiology All India Institute of Medical Sciences Bhubaneswar 751019 Odisha India

2. Department of Radiodiagnosis All India Institute of Medical Sciences Bhubaneswar 751019 Odisha India

3. Department of Pediatrics All India Institute of Medical Sciences Bhubaneswar 751019 Odisha India

4. Department of General Medicine All India Institute of Medical Sciences Bhubaneswar 751019 Odisha India

5. Department of Neurology All India Institute of Medical Sciences Bhubaneswar 751019 Odisha India

Abstract

AbstractDespite scarcity of data, in recent years, human parvovirus B19 (PVB19) has been emerging as an important pathogen in acute encephalitis syndrome (AES). But, PVB19 virus is mostly looked for only after the exclusion of other common pathogens implicated in AES. Hence, this study was conducted to correlate clinical, radiological, and sequencing data to establish the crucial role of PVB19 in AES. Cerebrospinal fluid and/or serum samples were collected from AES patients as per WHO criteria and tested by ELISA, real‐time PCR and bacterial culture sensitivity for various pathogens. PVB19 positive samples were subjected to sequencing. PVB19 attributed to 5% of total AES cases in the present study with fatalities in two of eight cases. Two isolates of PVB19 belonged to Genotype 1 A whereas one belonged to Genotype 3B. On multivariate analysis of predictive symptoms of PVB19 AES cases, blurring of vision (odds ratio [OR] 20.67; p = 0.001) was found to be significant independent predictor of PVB19 AES. Six of eight patients (two encephalitis specific and four nonspecific) had abnormal radiological findings. Hence, being an emerging viral pathogen, PVB19 should be included in the diagnostic algorithm of AES for prompt diagnosis and definitive management to prevent undesired neurological sequelae.

Publisher

Wiley

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