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Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection
OBJECTIVE: To develop and validate a risk scoring tool to identify those who are at increased risk of chlamydia infection. METHODS: We used demographic data, sexual behaviour information and chlamydia positivity results from more than 45 000 individuals who attended Sydney Sexual Health Centre betwe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191384/ https://www.ncbi.nlm.nih.gov/pubmed/22021721 http://dx.doi.org/10.1136/bmjopen-2010-000005 |
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author | Wand, Handan Guy, Rebecca Donovan, Basil McNulty, Anna |
author_facet | Wand, Handan Guy, Rebecca Donovan, Basil McNulty, Anna |
author_sort | Wand, Handan |
collection | PubMed |
description | OBJECTIVE: To develop and validate a risk scoring tool to identify those who are at increased risk of chlamydia infection. METHODS: We used demographic data, sexual behaviour information and chlamydia positivity results from more than 45 000 individuals who attended Sydney Sexual Health Centre between 1998 and 2009. Participants were randomly allocated to either the development or internal validation data set. Using logistic regression, we created a prediction model and weighted scoring system using the development data set and calculated the odds ratio of chlamydia positivity for participants in successively higher quintiles of score. The internal validation data set was used to evaluate the performance characteristics of the model for five quintiles of risk scores including population attributable risk, sensitivity and specificity. RESULTS: In the prediction model, inconsistent condom use, increased number of sexual partners in last 3 months, genital or anal symptoms and presenting to the clinic for sexually transmitted infections screening or being a contact of a sexually transmitted infection case were consistently associated with increased risk of chlamydia positivity in all groups. High scores (upper quintiles) were significantly associated with increased risk of chlamydia infection. A cut-point score of 20 or higher distinguished a increased risk group with a sensitivity of 95%, 67% and 79% among heterosexual men, women and men who have sex with men (MSM), respectively. CONCLUSION: The scoring tool may be included as part of a health promotion and/or clinic website to prompt those who are at increased risk of chlamydia infection, which may potentially lead to increased uptake and frequency of testing. |
format | Online Article Text |
id | pubmed-3191384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-31913842011-10-13 Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection Wand, Handan Guy, Rebecca Donovan, Basil McNulty, Anna BMJ Open Epidemiology OBJECTIVE: To develop and validate a risk scoring tool to identify those who are at increased risk of chlamydia infection. METHODS: We used demographic data, sexual behaviour information and chlamydia positivity results from more than 45 000 individuals who attended Sydney Sexual Health Centre between 1998 and 2009. Participants were randomly allocated to either the development or internal validation data set. Using logistic regression, we created a prediction model and weighted scoring system using the development data set and calculated the odds ratio of chlamydia positivity for participants in successively higher quintiles of score. The internal validation data set was used to evaluate the performance characteristics of the model for five quintiles of risk scores including population attributable risk, sensitivity and specificity. RESULTS: In the prediction model, inconsistent condom use, increased number of sexual partners in last 3 months, genital or anal symptoms and presenting to the clinic for sexually transmitted infections screening or being a contact of a sexually transmitted infection case were consistently associated with increased risk of chlamydia positivity in all groups. High scores (upper quintiles) were significantly associated with increased risk of chlamydia infection. A cut-point score of 20 or higher distinguished a increased risk group with a sensitivity of 95%, 67% and 79% among heterosexual men, women and men who have sex with men (MSM), respectively. CONCLUSION: The scoring tool may be included as part of a health promotion and/or clinic website to prompt those who are at increased risk of chlamydia infection, which may potentially lead to increased uptake and frequency of testing. BMJ Group 2011-02-23 /pmc/articles/PMC3191384/ /pubmed/22021721 http://dx.doi.org/10.1136/bmjopen-2010-000005 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Epidemiology Wand, Handan Guy, Rebecca Donovan, Basil McNulty, Anna Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title | Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title_full | Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title_fullStr | Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title_full_unstemmed | Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title_short | Developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in Australia: a simple algorithm to identify those at high risk of chlamydia infection |
title_sort | developing and validating a risk scoring tool for chlamydia infection among sexual health clinic attendees in australia: a simple algorithm to identify those at high risk of chlamydia infection |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191384/ https://www.ncbi.nlm.nih.gov/pubmed/22021721 http://dx.doi.org/10.1136/bmjopen-2010-000005 |
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