A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.

BACKGROUND:Streptococcus suis (S.suis) is an emerging zoonosis disease with a high prevalence in Southeast Asia. There are over 1,500 cases reported globally in which majority of cases are from Thailand followed by Vietnam. The disease leads to meningitis in human with sensorineural hearing loss (SN...

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Main Authors: Ajaree Rayanakorn, Wasan Katip, Bey Hing Goh, Peninnah Oberdorfer, Learn Han Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0228488
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author Ajaree Rayanakorn
Wasan Katip
Bey Hing Goh
Peninnah Oberdorfer
Learn Han Lee
author_facet Ajaree Rayanakorn
Wasan Katip
Bey Hing Goh
Peninnah Oberdorfer
Learn Han Lee
author_sort Ajaree Rayanakorn
collection DOAJ
description BACKGROUND:Streptococcus suis (S.suis) is an emerging zoonosis disease with a high prevalence in Southeast Asia. There are over 1,500 cases reported globally in which majority of cases are from Thailand followed by Vietnam. The disease leads to meningitis in human with sensorineural hearing loss (SNHL) as the most common complication suffered by the patients. Early diagnosis and treatment is important to prevent severe neurological complication. In this study, we aim to develop an easy-to-use risk score to promote early diagnosis and detection of S.suis in patients who potentially develop hearing loss. METHODS:Data from a retrospective review of 13-year S.suis patient records in a tertiary hospital in Chiang Mai, Northern, Thailand was obtained. Univariate and multivariate logistic regressions were employed to develop a predictive model. The clinical risk score was constructed from the coefficients of significant predictors. Area under the receiver operator characteristic curve (AuROC) was identified to verify the model discriminative performance. Bootstrap technique with 1000-fold bootstrapping was used for internal validation. KEY RESULTS:Among 133 patients, the incidence of hearing loss was 31.6% (n = 42). Significant predictors for S. suis hearing loss were meningitis, raw pork consumption, and vertigo. The predictive score ranged from 0-4 and correctly classified 81.95% patients as being at risk of S.suis hearing loss. The model showed good power of prediction (AuROC: 0.859; 95%CI 0.785-0.933) and calibration (AuROC: 0.860; 95%CI 0.716-0.953). CONCLUSIONS:To our best knowledge, this is the first risk scoring system development for S.suis hearing loss. We identified meningitis, raw pork consumption and vertigo as the main risk factors of S.suis hearing loss. Future studies are needed to optimize the developed scoring system and investigate its external validity before recommendation for use in clinical practice.
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spelling doaj.art-99a489a83d0544958d12d5574184c2712022-12-21T22:36:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01152e022848810.1371/journal.pone.0228488A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.Ajaree RayanakornWasan KatipBey Hing GohPeninnah OberdorferLearn Han LeeBACKGROUND:Streptococcus suis (S.suis) is an emerging zoonosis disease with a high prevalence in Southeast Asia. There are over 1,500 cases reported globally in which majority of cases are from Thailand followed by Vietnam. The disease leads to meningitis in human with sensorineural hearing loss (SNHL) as the most common complication suffered by the patients. Early diagnosis and treatment is important to prevent severe neurological complication. In this study, we aim to develop an easy-to-use risk score to promote early diagnosis and detection of S.suis in patients who potentially develop hearing loss. METHODS:Data from a retrospective review of 13-year S.suis patient records in a tertiary hospital in Chiang Mai, Northern, Thailand was obtained. Univariate and multivariate logistic regressions were employed to develop a predictive model. The clinical risk score was constructed from the coefficients of significant predictors. Area under the receiver operator characteristic curve (AuROC) was identified to verify the model discriminative performance. Bootstrap technique with 1000-fold bootstrapping was used for internal validation. KEY RESULTS:Among 133 patients, the incidence of hearing loss was 31.6% (n = 42). Significant predictors for S. suis hearing loss were meningitis, raw pork consumption, and vertigo. The predictive score ranged from 0-4 and correctly classified 81.95% patients as being at risk of S.suis hearing loss. The model showed good power of prediction (AuROC: 0.859; 95%CI 0.785-0.933) and calibration (AuROC: 0.860; 95%CI 0.716-0.953). CONCLUSIONS:To our best knowledge, this is the first risk scoring system development for S.suis hearing loss. We identified meningitis, raw pork consumption and vertigo as the main risk factors of S.suis hearing loss. Future studies are needed to optimize the developed scoring system and investigate its external validity before recommendation for use in clinical practice.https://doi.org/10.1371/journal.pone.0228488
spellingShingle Ajaree Rayanakorn
Wasan Katip
Bey Hing Goh
Peninnah Oberdorfer
Learn Han Lee
A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
PLoS ONE
title A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
title_full A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
title_fullStr A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
title_full_unstemmed A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
title_short A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study.
title_sort risk scoring system for predicting streptococcus suis hearing loss a 13 year retrospective cohort study
url https://doi.org/10.1371/journal.pone.0228488
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