BACKGROUND: African Americans have the highest rates of Chlamydia trachomatis (CT) infection in the United States and also high reinfection rates. The primary objective of this study was to develop a Bayesian model to predict the probability of CT reinfection in African American women using immunogenetic data. METHODS: We analyzed data from a cohort of CT-infected African American women enrolled at the time they returned to a clinic in Birmingham, AL, for the treatment of a positive routine CT test result. We modeled the probability of CT reinfection within 6 months after treatment using logistic regression in a Bayesian framework. Predictors of interest were presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response, both of which we had previously reported were independently associated with CT reinfection risk. RESULTS: Among 99 participants evaluated, the probability of reinfection for those with a CT-specific CD4+ IFN-γ response and no HLA-DQB1*06 alleles was 14.1% (95% credible interval [CI], 3.0%-45.0%), whereas the probability of reinfection for those without a CT-specific CD4+ IFN-γ response and at least one HLA-DQB1*06 allele was 61.5% (95% CI, 23.1%-89.7%). CONCLUSIONS: Our model demonstrated that presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response can have an impact on the predictive probability of CT reinfection in African American women.
BACKGROUND: African Americans have the highest rates of Chlamydia trachomatis (CT) infection in the United States and also high reinfection rates. The primary objective of this study was to develop a Bayesian model to predict the probability of CT reinfection in African American women using immunogenetic data. METHODS: We analyzed data from a cohort of CT-infected African American women enrolled at the time they returned to a clinic in Birmingham, AL, for the treatment of a positive routine CT test result. We modeled the probability of CT reinfection within 6 months after treatment using logistic regression in a Bayesian framework. Predictors of interest were presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response, both of which we had previously reported were independently associated with CT reinfection risk. RESULTS: Among 99 participants evaluated, the probability of reinfection for those with a CT-specific CD4+ IFN-γ response and no HLA-DQB1*06 alleles was 14.1% (95% credible interval [CI], 3.0%-45.0%), whereas the probability of reinfection for those without a CT-specific CD4+ IFN-γ response and at least one HLA-DQB1*06 allele was 61.5% (95% CI, 23.1%-89.7%). CONCLUSIONS: Our model demonstrated that presence or absence of an HLA-DQB1*06 allele and CT-specific CD4+ IFN-γ response can have an impact on the predictive probability of CT reinfection in African American women.
Authors: Ali N Russell; Xiaojing Zheng; Catherine M O'Connell; Harold C Wiesenfeld; Sharon L Hillier; Brandie D Taylor; Michelle D Picard; Jessica B Flechtner; Wujuan Zhong; Lauren C Frazer; Toni Darville Journal: J Infect Dis Date: 2016-10-12 Impact factor: 5.226
Authors: William M Geisler; Apurva Uniyal; Jeannette Y Lee; Shelly Y Lensing; Shacondra Johnson; Raymond C W Perry; Carmel M Kadrnka; Peter R Kerndt Journal: N Engl J Med Date: 2015-12-24 Impact factor: 91.245
Authors: Georg Stary; Andrew Olive; Aleksandar F Radovic-Moreno; David Gondek; David Alvarez; Pamela A Basto; Mario Perro; Vladimir D Vrbanac; Andrew M Tager; Jinjun Shi; Jeremy A Yethon; Omid C Farokhzad; Robert Langer; Michael N Starnbach; Ulrich H von Andrian Journal: Science Date: 2015-06-19 Impact factor: 47.728
Authors: Chengbin Wang; Jianming Tang; William M Geisler; Peggy A Crowley-Nowick; Craig M Wilson; Richard A Kaslow Journal: J Infect Dis Date: 2005-02-25 Impact factor: 5.226
Authors: Christina B Hosenfeld; Kimberly A Workowski; Stuart Berman; Akbar Zaidi; Jeri Dyson; Debra Mosure; Gail Bolan; Heidi M Bauer Journal: Sex Transm Dis Date: 2009-08 Impact factor: 2.830