Literature DB >> 11303192

Clinical predictors of endometritis in women with symptoms and signs of pelvic inflammatory disease.

J F Peipert1, R B Ness, J Blume, D E Soper, R Holley, H Randall, R L Sweet, S J Sondheimer, S L Hendrix, A Amortegui, G Trucco, D C Bass.   

Abstract

OBJECTIVE: Careful detection and treatment of pelvic inflammatory disease are essential for the prevention of adverse sequelae. The purpose of this study was to evaluate the diagnostic test characteristics of clinical criteria for the diagnosis of pelvic inflammatory disease. STUDY
DESIGN: We performed a cross-sectional analysis of the baseline characteristics of 651 patients enrolled in a multicenter randomized treatment trial for pelvic inflammatory disease. Clinical and laboratory findings were recorded for all patients, and endometrial sampling was performed. We calculated sensitivity and specificity and performed receiver operating characteristic curve analysis and multivariate logistic regression, using histologic endometritis as the criterion standard.
RESULTS: The minimal criteria for pelvic inflammatory disease, as recommended by the Centers for Disease Control and Prevention, had a sensitivity of 83%, in comparison with a 95% sensitivity for adnexal tenderness (P =.001). Of the supportive clinical criteria, the finding most highly associated with endometritis was a positive test result for Chlamydia trachomatis or Neisseria gonorrhoeae (adjusted odds ratio, 4.3; 95% confidence interval, 2.89--6.63). A multivariate logistic regression model indicated that combinations of criteria significantly improve the prediction of endometritis.
CONCLUSION: Sensitivity can be maximized by using the presence of adnexal tenderness as a minimal criterion for the diagnosis of pelvic inflammatory disease, and supportive criteria are helpful in estimating the probability of endometritis.

Entities:  

Mesh:

Year:  2001        PMID: 11303192     DOI: 10.1067/mob.2001.113847

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  19 in total

Review 1.  An update on pelvic inflammatory disease.

Authors:  J D C Ross
Journal:  Sex Transm Infect       Date:  2002-02       Impact factor: 3.519

2.  Positive Testing for Neisseria gonorrhoeae and Chlamydia trachomatis and the Risk of Pelvic Inflammatory Disease in IUD Users.

Authors:  Natalia E Birgisson; Qiuhong Zhao; Gina M Secura; Tessa Madden; Jeffrey F Peipert
Journal:  J Womens Health (Larchmt)       Date:  2015-04-02       Impact factor: 2.681

3.  Targeted PCR for detection of vaginal bacteria associated with bacterial vaginosis.

Authors:  David N Fredricks; Tina L Fiedler; Katherine K Thomas; Brian B Oakley; Jeanne M Marrazzo
Journal:  J Clin Microbiol       Date:  2007-08-08       Impact factor: 5.948

4.  Sexually transmitted diseases treatment guidelines, 2015.

Authors:  Kimberly A Workowski; Gail A Bolan
Journal:  MMWR Recomm Rep       Date:  2015-06-05

5.  National trends in pelvic inflammatory disease among adolescents in the emergency department.

Authors:  Monika Goyal; Adam Hersh; Xianqun Luan; Russell Localio; Maria Trent; Theoklis Zaoutis
Journal:  J Adolesc Health       Date:  2013-06-03       Impact factor: 5.012

6.  Endometrial leukocyte subpopulations associated with Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis genital tract infection.

Authors:  Seth D Reighard; Richard L Sweet; Claudia Vicetti Miguel; Rodolfo D Vicetti Miguel; Mamatha Chivukula; Uma Krishnamurti; Thomas L Cherpes
Journal:  Am J Obstet Gynecol       Date:  2011-05-20       Impact factor: 8.661

7.  Limitations of the criteria used to diagnose histologic endometritis in epidemiologic pelvic inflammatory disease research.

Authors:  Rodolfo D Vicetti Miguel; Mamatha Chivukula; Uma Krishnamurti; Antonio J Amortegui; Jeffrey A Kant; Richard L Sweet; Harold C Wiesenfeld; Jaclyn M Phillips; Thomas L Cherpes
Journal:  Pathol Res Pract       Date:  2011-10-13       Impact factor: 3.250

8.  Improving notification of sexually transmitted infections: a quality improvement project and planned experiment.

Authors:  Jill S Huppert; Jennifer L Reed; Jennifer Knopf Munafo; Rachel Ekstrand; Gordon Gillespie; Carolyn Holland; Maria T Britto
Journal:  Pediatrics       Date:  2012-07-02       Impact factor: 7.124

9.  Deep Neural Networks Offer Morphologic Classification and Diagnosis of Bacterial Vaginosis.

Authors:  Zhongxiao Wang; Lei Zhang; Min Zhao; Ying Wang; Huihui Bai; Yufeng Wang; Can Rui; Chong Fan; Jiao Li; Na Li; Xinhuan Liu; Zitao Wang; Yanyan Si; Andrea Feng; Mingxuan Li; Qiongqiong Zhang; Zhe Yang; Mengdi Wang; Wei Wu; Yang Cao; Lin Qi; Xin Zeng; Li Geng; Ruifang An; Ping Li; Zhaohui Liu; Qiao Qiao; Weipei Zhu; Weike Mo; Qinping Liao; Wei Xu
Journal:  J Clin Microbiol       Date:  2021-01-21       Impact factor: 5.948

Review 10.  Pelvic inflammatory disease: current concepts in pathogenesis, diagnosis and treatment.

Authors:  Caroline Mitchell; Malavika Prabhu
Journal:  Infect Dis Clin North Am       Date:  2013-10-31       Impact factor: 5.982

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