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Usefulness of automated assays for detecting hepatitis B and C markers in dried blood spot samples.

Livia Melo VillarHelena Medina CruzRaissa Martins DeodatoJuliana Custódio MiguelElisangela Ferreira da SilvaGeane Lopes FloresLia Laura Lewis-Ximenez
Published in: BMC research notes (2019)
Anti-HCV was detected in 103 DBS samples from 108 paired, positive serum and undetected in 364 DBS samples from 366 paired, negative specimens, giving a sensitivity of 95.4% and a specificity of 99.4%. HBsAg was detected in 67 DBS samples out of 71 positive, paired serum and was undetected among 295 DBS samples from 298 paired, negative specimens, giving a sensitivity and specificity of 94.4% and 99%, respectively. Anti-HBc was detected in 160 DBS samples from 185 paired, positive serum specimens and undetected in 349 DBS samples from 357 paired, negative serum specimens, giving a sensitivity of 86.5% and a specificity of 97.8%. Overall, the Kappa index indicated a high agreement between results obtained for the serum and DBS samples (k: 0.95, 0.93 and 0.86 for anti-HCV, HBsAg, anti-HBc, respectively). In conclusion, the ECLIA test could be used for detecting hepatitis B and C markers in DBS.
Keyphrases
  • deep brain stimulation
  • hepatitis c virus
  • hepatitis b virus
  • high throughput
  • immune response
  • deep learning
  • human immunodeficiency virus
  • nuclear factor
  • toll like receptor