尿液和阴道拭子样本对细菌性阴道病有很强的相关性。

IF 1.4 Q4 INFECTIOUS DISEASES
Southern African Journal of Infectious Diseases Pub Date : 2021-06-17 eCollection Date: 2021-01-01 DOI:10.4102/sajid.v36i1.199
Deshanta Naicker, Veron Ramsuran, Meleshni Naicker, Fazana Dessai, Jennifer Giandhari, Partson Tinarwo, Nathlee Abbai
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引用次数: 2

摘要

背景:阴道拭子传统上用于细菌性阴道病(BV)的诊断。目前,有有限的研究调查了使用阴道拭子以外的其他样本类型来检测南非人群的细菌性阴道炎。本研究探讨了南非孕妇尿液是否可用于细菌性阴杆菌相关微生物的检测。方法:从在德班爱德华八世国王医院产前保健的妇女中获得100份自行收集的阴道拭子和尿液样本。bdmax™阴道平板检测用于BV的诊断,液滴数字聚合酶链反应用于阴道加德纳菌、bivia普氏菌、阴道托波菌和crispatus乳杆菌的定量。绝对计数在QX200液滴读取器(Bio-Rad)上使用QuantaSoft软件进行测定。数据分析采用统计计算软件R,版本为3.6.1。结果:bv阳性样本尿液和拭子中阴道弧菌和bivia弧菌拷贝数中位数差异无统计学意义(p = 0.134和p = 0.652)。相关分析也证实了这一点,两种样本类型(G. vaginalis [r = 0.63]和P. bivia [r = 0.50])具有良好的相关性。然而,获得的阴道单胞杆菌数据不同,尿液和拭子之间存在弱相关性(r = 0.21)。细菌性阴道炎阴性样本的尿和拭子中位crispatus拷贝数差异无统计学意义(p = 0.062),两种样本类型之间存在良好的相关性(r = 0.71)。结论:本研究强调了尿液检测细菌性肠胃炎相关微生物的适宜性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Strong correlation between urine and vaginal swab samples for bacterial vaginosis.

Strong correlation between urine and vaginal swab samples for bacterial vaginosis.

Strong correlation between urine and vaginal swab samples for bacterial vaginosis.

Strong correlation between urine and vaginal swab samples for bacterial vaginosis.

Background: Vaginal swabs have been traditionally used for the diagnosis of bacterial vaginosis (BV). Currently, there are limited studies that have investigated the use of other sample types other than vaginal swabs for the detection of BV from South African populations. This study investigated whether urine can be used for the detection of BV-associated microorganisms in South African pregnant women.

Methods: One-hundred self-collected vaginal swabs and urine samples were obtained from women presenting for antenatal care at King Edward VIII Hospital in Durban. The BD MAX™ vaginal panel assay was used for diagnosing BV and droplet digital polymerase chain reaction was used to quantify Gardnerella vaginalis, Prevotella bivia, Atopobium vaginae and Lactobacillus crispatus. The absolute counts were determined on the QX200 Droplet Reader (Bio-Rad) using the QuantaSoft Software. Data analysis was performed with statistical computing software called R, version 3.6.1.

Results: Median copy numbers obtained for G. vaginalis and P. bivia across urine and swabs in BV-positive samples were not significantly different (p = 0.134 and p = 0.652, respectively). This was confirmed by the correlation analysis that showed a good correlation between the two sample types (G. vaginalis [r = 0.63] and P. bivia [r = 0.50]). However, the data obtained for A. vaginae differed, and a weak correlation between urine and swabs was observed (r = 0.21). Bacterial vaginosis-negative samples had no significant difference in median copy numbers for L. crispatus across the urine and swabs (p = 0.062), and a good correlation between the sample types was noted (r = 0.71).

Conclusion: This study highlights the appropriateness of urine for the detection of microorganisms associated with BV.

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