Background and aims Minimising invasive laboratory testing on children is considered to be the top priority. Respiratory Syncytial Virus (RSV) is the leading cause of lower respiratory tract infection and the hospitalisation in infants. Identifying respiratory pathogens within the population is difficult because numerous invasive sample collections are required. Collecting precise information and estimating the severity of respiratory symptoms using the Innovative Computerised Inference Algorithm (ICIA) technology will minimise RSV screening tests.
Methods Children aged 1 month15 years at Paediatric Emergency Department (PED) of Yokohama Citizen’s Hospital (Yokohama, Japan) who were evaluated with respiratory symptoms had swab samples collected for the RSV test. ICIA prompts the guardian to input symptoms at time of registration, assessing the Disease Severity from 3 levels (mild/ moderate/ serious).
Results There were 23,851 PED visits from January 1, 2012 to December 31, 2013. Of those, 6742 patients had respiratory symptoms and swab samples were collected accordingly. There were 654 RSV infected patients. The severity level, over moderate was 632 and, mild was 22. These results proved that the sensitivity and specificity of ICIA were 96.6% and 87.9% respectively, negative and positive predictive values were 99.6% and 46.3% respectively.
Conclusion ICIA decreases 90% of invasive RSV tests. ICIA supports Paediatricians at each phase of their clinical decision making: i.e., diagnosis, severity assessment and treatment that used to depend on the amount of a paediatricians’ knowledge and experience. Thus, ICIA leads to minimising the invasive RSV laboratory tests, in addition to shortening the time of clinical decision making process.
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