Evaluation of visual triage for screening of Middle East respiratory syndrome coronavirus patients
Identifieur interne : 001F67 ( Ncbi/Curation ); précédent : 001F66; suivant : 001F68Evaluation of visual triage for screening of Middle East respiratory syndrome coronavirus patients
Auteurs : S. H. Alfaraj ; J. A. Al-Tawfiq ; P. Gautret ; M. G. Alenazi ; A. Y. Asiri ; Z. A. MemishSource :
- New Microbes and New Infections [ 2052-2975 ] ; 2018.
Abstract
The emergence of Middle East respiratory syndrome coronavirus (MERS-CoV) in September 2012 in Saudi Arabia had attracted the attention of the global health community. In 2017 the Saudi Ministry of Health released a visual triage system with scoring to alert healthcare workers in emergency departments (EDs) and haemodialysis units for the possibility of occurrence of MERS-CoV infection. We performed a retrospective analysis of this visual score to determine its sensitivity and specificity. The study included all cases from 2014 to 2017 in a MERS-CoV referral centre in Riyadh, Saudi Arabia. During the study period there were a total of 2435 suspected MERS cases. Of these, 1823 (75%) tested negative and the remaining 25% tested positive for MERS-CoV by PCR assay. The application of the visual triage score found a similar percentage of MERS-CoV and non–MERS-CoV patients, with each score from 0 to 11. The percentage of patients with a cutoff score of ≥4 was 75% in patients with MERS-CoV infection and 85% in patients without MERS-CoV infection (p 0.0001). The sensitivity and specificity of this cutoff score for MERS-CoV infection were 74.1% and 18.6%, respectively. The sensitivity and specificity of the scoring system were low, and further refinement of the score is needed for better prediction of MERS-CoV infection.
Url:
DOI: 10.1016/j.nmni.2018.08.008
PubMed: 30224971
PubMed Central: 6138856
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PMC:6138856Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>The emergence of Middle East respiratory syndrome coronavirus (MERS-CoV) in September 2012 in Saudi Arabia had attracted the attention of the global health community. In 2017 the Saudi Ministry of Health released a visual triage system with scoring to alert healthcare workers in emergency departments (EDs) and haemodialysis units for the possibility of occurrence of MERS-CoV infection. We performed a retrospective analysis of this visual score to determine its sensitivity and specificity. The study included all cases from 2014 to 2017 in a MERS-CoV referral centre in Riyadh, Saudi Arabia. During the study period there were a total of 2435 suspected MERS cases. Of these, 1823 (75%) tested negative and the remaining 25% tested positive for MERS-CoV by PCR assay. The application of the visual triage score found a similar percentage of MERS-CoV and non–MERS-CoV patients, with each score from 0 to 11. The percentage of patients with a cutoff score of ≥4 was 75% in patients with MERS-CoV infection and 85% in patients without MERS-CoV infection (p 0.0001). The sensitivity and specificity of this cutoff score for MERS-CoV infection were 74.1% and 18.6%, respectively. The sensitivity and specificity of the scoring system were low, and further refinement of the score is needed for better prediction of MERS-CoV infection.</p>
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<biblStruct><analytic><author><name sortKey="Lee, S H" uniqKey="Lee S">S.H. Lee</name>
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<author><name sortKey="Baek, Y H" uniqKey="Baek Y">Y.H. Baek</name>
</author>
<author><name sortKey="Kim, Y H" uniqKey="Kim Y">Y.H. Kim</name>
</author>
<author><name sortKey="Choi, Y K" uniqKey="Choi Y">Y.K. Choi</name>
</author>
<author><name sortKey="Song, M S" uniqKey="Song M">M.S. Song</name>
</author>
<author><name sortKey="Ahn, J Y" uniqKey="Ahn J">J.Y. Ahn</name>
</author>
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<biblStruct><analytic><author><name sortKey="Kim, K H" uniqKey="Kim K">K.H. Kim</name>
</author>
<author><name sortKey="Tandi, T E" uniqKey="Tandi T">T.E. Tandi</name>
</author>
<author><name sortKey="Choi, J W" uniqKey="Choi J">J.W. Choi</name>
</author>
<author><name sortKey="Moon, J M" uniqKey="Moon J">J.M. Moon</name>
</author>
<author><name sortKey="Kim, M S" uniqKey="Kim M">M.S. Kim</name>
</author>
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