Cargando…

Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters

BACKGROUND: The prolonged manifestation of concurrent leukopenia, thrombocytopenia and normal C-reactive protein (CRP) (named as SFTS prediction score) in febrile diseases is not usual and may be used to make an initial differential diagnosis, which is a characteristic finding of severe fever with t...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Euijin, Kim, Jeong-Han, Bang, Ji Hwan, Park, Wan Beom, Kim, Eu Suk, Park, Sang Won, Oh, Myoung-don
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059982/
https://www.ncbi.nlm.nih.gov/pubmed/32134948
http://dx.doi.org/10.1371/journal.pone.0229920
_version_ 1783504150093365248
author Chang, Euijin
Kim, Jeong-Han
Bang, Ji Hwan
Park, Wan Beom
Kim, Eu Suk
Park, Sang Won
Oh, Myoung-don
author_facet Chang, Euijin
Kim, Jeong-Han
Bang, Ji Hwan
Park, Wan Beom
Kim, Eu Suk
Park, Sang Won
Oh, Myoung-don
author_sort Chang, Euijin
collection PubMed
description BACKGROUND: The prolonged manifestation of concurrent leukopenia, thrombocytopenia and normal C-reactive protein (CRP) (named as SFTS prediction score) in febrile diseases is not usual and may be used to make an initial differential diagnosis, which is a characteristic finding of severe fever with thrombocytopenia syndrome (SFTS). METHODS: The dynamics of SFTS prediction scores was investigated in SFTS patients. The study subjects for the comparison were febrile patients aged ≥ 16 years with SFTS scores of 2 (S2) or 3 (S3) who visited an emergency room for a 4-year study period. The dynamic distribution of S2 and S3 at presentation with regards to onset of illness, the characteristics of responsible diseases and the predictability of SFTS in both groups were described. RESULTS: In 104 patients with SFTS, the daily proportion of S2 or S3 ranged from 58.3 to 100% from day (D) 1 to D12 after the onset of illness. The S2 subtype of ‘leukopenia plus thrombocytopenia’ and S3 represented 72.7–100% of all scores. In contrast, for the 130 patients in the febrile cohort, 73.8% of evaluations were distributed between D1 and D4 after the onset of illness, and 68.8% of patients had the S2 subtype of ‘leukopenia plus normal CRP’. Upper respiratory infection was the most frequent (50.0%) cause of diseases. Pneumonia (13.8%) and urosepsis (6.2%) initially presented with either S2 with normal CRP or S3 but had poor prognosis. The presence of S2 or S3 predicted SFTS with sensitivity and specificity of 0.85 (0.42–0.99; 95% CI) and 0.98 (0.98–0.98; 95% CI), respectively. CONCLUSION: The temporal distribution and composition of S2 or S3 were unique in several febrile diseases including SFTS, and the SFTS prediction score may be useful for differentiating febrile diseases in primary care settings of SFTS endemic areas.
format Online
Article
Text
id pubmed-7059982
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-70599822020-03-23 Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters Chang, Euijin Kim, Jeong-Han Bang, Ji Hwan Park, Wan Beom Kim, Eu Suk Park, Sang Won Oh, Myoung-don PLoS One Research Article BACKGROUND: The prolonged manifestation of concurrent leukopenia, thrombocytopenia and normal C-reactive protein (CRP) (named as SFTS prediction score) in febrile diseases is not usual and may be used to make an initial differential diagnosis, which is a characteristic finding of severe fever with thrombocytopenia syndrome (SFTS). METHODS: The dynamics of SFTS prediction scores was investigated in SFTS patients. The study subjects for the comparison were febrile patients aged ≥ 16 years with SFTS scores of 2 (S2) or 3 (S3) who visited an emergency room for a 4-year study period. The dynamic distribution of S2 and S3 at presentation with regards to onset of illness, the characteristics of responsible diseases and the predictability of SFTS in both groups were described. RESULTS: In 104 patients with SFTS, the daily proportion of S2 or S3 ranged from 58.3 to 100% from day (D) 1 to D12 after the onset of illness. The S2 subtype of ‘leukopenia plus thrombocytopenia’ and S3 represented 72.7–100% of all scores. In contrast, for the 130 patients in the febrile cohort, 73.8% of evaluations were distributed between D1 and D4 after the onset of illness, and 68.8% of patients had the S2 subtype of ‘leukopenia plus normal CRP’. Upper respiratory infection was the most frequent (50.0%) cause of diseases. Pneumonia (13.8%) and urosepsis (6.2%) initially presented with either S2 with normal CRP or S3 but had poor prognosis. The presence of S2 or S3 predicted SFTS with sensitivity and specificity of 0.85 (0.42–0.99; 95% CI) and 0.98 (0.98–0.98; 95% CI), respectively. CONCLUSION: The temporal distribution and composition of S2 or S3 were unique in several febrile diseases including SFTS, and the SFTS prediction score may be useful for differentiating febrile diseases in primary care settings of SFTS endemic areas. Public Library of Science 2020-03-05 /pmc/articles/PMC7059982/ /pubmed/32134948 http://dx.doi.org/10.1371/journal.pone.0229920 Text en © 2020 Chang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chang, Euijin
Kim, Jeong-Han
Bang, Ji Hwan
Park, Wan Beom
Kim, Eu Suk
Park, Sang Won
Oh, Myoung-don
Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title_full Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title_fullStr Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title_full_unstemmed Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title_short Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters
title_sort application of the severe fever with thrombocytopenia syndrome prediction score: differentiation of febrile diseases using basic laboratory parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059982/
https://www.ncbi.nlm.nih.gov/pubmed/32134948
http://dx.doi.org/10.1371/journal.pone.0229920
work_keys_str_mv AT changeuijin applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT kimjeonghan applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT bangjihwan applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT parkwanbeom applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT kimeusuk applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT parksangwon applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters
AT ohmyoungdon applicationoftheseverefeverwiththrombocytopeniasyndromepredictionscoredifferentiationoffebrilediseasesusingbasiclaboratoryparameters