@article{fdi:010065392,
  title = {{D}etermination of cut-off cycle threshold values in routine {RT}-{PCR} assays to assist differential diagnosis of norovirus in children hospitalized for acute gastroenteritis},
  author = {{T}rang, {N}. {V}. and {C}hoisy, {M}arc and {N}akagomi, {T}. and {C}hinh, {N}. {T}. {M}. and {D}oan, {Y}. {H}. and {Y}amashiro, {T}. and {B}ryant, {J}. {E}. and {N}akagomi, {O}. and {A}nh, {D}. {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{N}orovirus ({NV}) is an important cause of acute gastroenteritis in children, but is also frequently detected in asymptomatic children, which complicates the interpretation of {NV} detection results in both the clinical setting and population prevalence studies. {A} total of 807 faecal samples from children aged <5 years hospitalized for acute gastroenteritis were collected in {T}hai {B}inh, {V}ietnam, from {J}anuary 2011 to {S}eptember 2012. {R}eal-time {RT}-{PCR} was used to detect and quantify {NV}-{RNA} in clinical samples. {A} bimodal distribution of cycle threshold ({C}-t) values was observed in which the lower peak was assumed to represent cases for which {NV} was the causal agent of diarrhoea, whereas the higher peak was assumed to represent cases involving an alternative pathogen other than {NV}. {U}nder these assumptions, we applied finite-mixture modelling to estimate a threshold of {C}-t <2136 (95% confidence interval 2029-2246) to distinguish {NV}-positive patients for which {NV} was the likely cause of diarrhoea. {W}e evaluated the validity of the threshold through comparisons with {NV} antigen {ELISA} results, and comparisons of {C}-t values in patients co-infected with rotavirus. {W}e conclude that the use of an appropriate cut-off value in the interpretation of {NV} real-time {RT}-{PCR} results may improve differential diagnosis of enteric infections, and could contribute to improved estimates of the burden of {NV} disease.},
  keywords = {{C}aliciviruses ; diarrhoea ; estimating disease prevalence ; gastrointestinal infections ; modelling ; {VIET} {NAM}},
  booktitle = {},
  journal = {{E}pidemiology and {I}nfection},
  volume = {143},
  numero = {15},
  pages = {3292--3299},
  ISSN = {0950-2688},
  year = {2015},
  DOI = {10.1017/s095026881500059x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065392},
}