Literature DB >> 21042232

Accuracy of clinical diagnosis of bacterial vaginosis by human immunodeficiency virus infection status.

Maria F Gallo1, Denise J Jamieson, Susan Cu-Uvin, Anne Rompalo, Robert S Klein, Jack D Sobel.   

Abstract

OBJECTIVE: To assess the accuracy of clinical diagnosis of bacterial vaginosis (BV) by using Amsel criteria, overall and by human immunodeficiency virus (HIV) infection status.
METHODS: Women with HIV, or at risk for HIV, participated in the HIV Epidemiology Research Study, a prospective study conducted in 4 US sites. At enrollment and follow-up visits, scheduled at 6-month intervals for ≤ 5 years, participants received gynecologic examinations, had specimens collected, and underwent standardized interviews. We used McNemar test statistic to evaluate agreement between Amsel criteria and Nugent scoring. Using Nugent scoring as the reference standard, we calculated sensitivity and specificity for Amsel criteria and for 3 other classifications of clinical BV. Our results are based on data collected from 9140 study visits by 862 HIV-infected women and 421 HIV-uninfected women.
RESULTS: Amsel criteria and Nugent scoring did not agree in the classification of BV cases (P < 0.01). Amsel criteria had poor sensitivity (60%; 95% confidence interval, 58%-61%) and specificity (90%; 95% confidence interval, 89%-91%) with wide differences in test properties by study site. We found no differences in diagnosing BV by HIV infection status.
CONCLUSIONS: The under- and overdiagnosing of BV clinically suggests that the accuracy of Amsel criteria for routine screening of asymptomatic women might be lower than previous estimates; that clinicians need more rigorous training to apply subjective Amsel criteria accurately; or that wide heterogeneity in cases might prevent agreement between clinical and laboratory diagnoses, with future research needed to better understand the criteria or morphotypes associated with specific adverse outcomes.

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Year:  2011        PMID: 21042232     DOI: 10.1097/OLQ.0b013e3181fce4eb

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  4 in total

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Authors:  Jean M Macklaim; Craig R Cohen; Gilbert Donders; Gregory B Gloor; Janet E Hill; Groesbeck P Parham; Jacques Ravel; Gregory Spear; Janneke van de Wijgert; Gregor Reid
Journal:  Reprod Sci       Date:  2012-05-21       Impact factor: 3.060

2.  Validation data-based adjustments for outcome misclassification in logistic regression: an illustration.

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Journal:  Epidemiology       Date:  2011-07       Impact factor: 4.822

3.  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

4.  Diagnosis of bacterial vaginosis by a new multiplex peptide nucleic acid fluorescence in situ hybridization method.

Authors:  António Machado; Joana Castro; Tatiana Cereija; Carina Almeida; Nuno Cerca
Journal:  PeerJ       Date:  2015-02-17       Impact factor: 2.984

  4 in total

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