Unknown

Dataset Information

0

The characteristics of patients frequently tested and repeatedly infected with Chlamydia trachomatis in Southwest Limburg, the Netherlands.


ABSTRACT: BACKGROUND:Repeat Chlamydia trachomatis (CT) infections are common. To better understand the characteristics of patients frequently infected with CT at our sexually transmitted infection (STI) care services, we assessed the differences between patients repeatedly infected with CT and those who repeatedly tested negative. METHODS:In this cross-sectional analysis of cohort data, we assessed individuals tested for CT at different STI care providers between 2011 and mid-2018 in Southwest Limburg, the Netherlands (n?=?17,616). Patients with ?2 repeat CT infections in the study period were categorized as "patients with repeat CT infections." Multivariable logistic regression analyses were performed for the binary outcome measure: patients with repeat CT infections versus patients who repeatedly tested negative (reference group). Additional analyses were performed for only the STI clinic population. RESULTS:Patients aged

SUBMITTER: Wijers JNAP 

PROVIDER: S-EPMC7427848 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

The characteristics of patients frequently tested and repeatedly infected with Chlamydia trachomatis in Southwest Limburg, the Netherlands.

Wijers Juliën N A P JNAP   Dukers-Muijrers Nicole H T M NHTM   Hoebe Christian J P A CJPA   Wolffs Petra F G PFG   van Liere Geneviève A F S GAFS  

BMC public health 20200814 1


<h4>Background</h4>Repeat Chlamydia trachomatis (CT) infections are common. To better understand the characteristics of patients frequently infected with CT at our sexually transmitted infection (STI) care services, we assessed the differences between patients repeatedly infected with CT and those who repeatedly tested negative.<h4>Methods</h4>In this cross-sectional analysis of cohort data, we assessed individuals tested for CT at different STI care providers between 2011 and mid-2018 in Southw  ...[more]

Similar Datasets

| S-EPMC7084364 | biostudies-literature
| S-EPMC6956083 | biostudies-literature
| S-EPMC4050525 | biostudies-literature
2021-01-13 | GSE158814 | GEO
| S-EPMC6485707 | biostudies-literature
| S-EPMC2206345 | biostudies-literature
| S-EPMC8707573 | biostudies-literature
2022-04-26 | GSE201442 | GEO
2022-04-28 | GSE201469 | GEO
2007-04-26 | GSE7601 | GEO