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

© 2020 Rayanakorn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Background Streptococcus suis (S.suis)...

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Main Authors: Ajaree Rayanakorn, Wasan Katip, Bey Hing Goh, Peninnah Oberdorfer, Learn Han Lee
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Published: 2020
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spelling th-cmuir.6653943832-682052020-04-02T15:30:50Z A risk scoring system for predicting Streptococcus suis hearing loss: A 13-year retrospective cohort study Ajaree Rayanakorn Wasan Katip Bey Hing Goh Peninnah Oberdorfer Learn Han Lee Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology Multidisciplinary © 2020 Rayanakorn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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. 2020-04-02T15:23:19Z 2020-04-02T15:23:19Z 2020-01-01 Journal 19326203 2-s2.0-85078983845 10.1371/journal.pone.0228488 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078983845&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68205
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
Biochemistry, Genetics and Molecular Biology
Multidisciplinary
spellingShingle Agricultural and Biological Sciences
Biochemistry, Genetics and Molecular Biology
Multidisciplinary
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
description © 2020 Rayanakorn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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.
format Journal
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
title 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_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_sort risk scoring system for predicting streptococcus suis hearing loss: a 13-year retrospective cohort study
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078983845&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/68205
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