Suppr超能文献

通过宏基因组阴道微生物群检测和远程医疗进行远程细菌性阴道病管理

Remote BV Management via Metagenomic Vaginal Microbiome Testing and Telemedicine.

作者信息

Thomas-White Krystal, Olmschenk Genevieve, Lyttle David, Markowitz Rob, Navarro Pita, McLean Kate

机构信息

Evvy, New York, NY 10001, USA.

出版信息

Microorganisms. 2025 Jul 9;13(7):1623. doi: 10.3390/microorganisms13071623.

Abstract

Bacterial vaginosis (BV) affects 30% of women annually, but many face barriers to in-person care. Here we present real-world outcomes of remote BV diagnosis and management through self-collected vaginal microbiome (VMB) testing and telemedicine visits, focusing on symptom resolution, recurrence, and overall microbial shifts. Among the 1159 study participants, 75.5% experienced symptom resolution at four weeks when managed with our algorithm-guided treatment protocol. At a median follow-up of 4.4 months after the initial visit, 30.0% of patients experienced recurrent BV, which is lower than the typical recurrence rates seen in historical in-person cohorts. Across the entire cohort, metagenomic data demonstrated a significant increase in abundance (mean of 32.9% to 48.4%, < 0.0001) and a corresponding decrease in BV-associated taxa such as , , and . A PERMANOVA of pairwise Bray-Curtis distances showed significant separation between pre-and post-treatment samples (pseudo-F = 37.6, < 0.0001), driven by an increase in -dominated samples. Treatment adherence was high (a total of 78% reported perfect or near-perfect adherence), and adverse events were generally mild (in total, 22% reported vaginal irritation, and 13% reported abnormal discharge). These results demonstrate that Evvy's at-home metagenomic platform, paired with telemedicine and a smart treatment algorithm, delivers robust clinical and microbial outcomes. This work offers a novel approach to managing bacterial vaginosis, a challenging condition characterized by persistently high recurrence rates.

摘要

细菌性阴道病(BV)每年影响30%的女性,但许多人在接受面对面治疗时面临障碍。在此,我们展示了通过自我采集阴道微生物群(VMB)检测和远程医疗问诊进行远程BV诊断和管理的真实世界结果,重点关注症状缓解、复发和整体微生物变化。在1159名研究参与者中,75.5%的人在使用我们的算法指导治疗方案进行管理时,四周后症状得到缓解。在初次就诊后的中位随访4.4个月时,30.0%的患者经历了复发性BV,这低于历史面对面队列中所见的典型复发率。在整个队列中,宏基因组数据显示丰度显著增加(平均值从32.9%增至48.4%,<0.0001),并且与BV相关的分类群如、和相应减少。对成对Bray-Curtis距离进行的PERMANOVA分析显示,治疗前后样本之间存在显著分离(伪F = 37.6,<0.0001),这是由以为主的样本增加所驱动。治疗依从性很高(共有78%的人报告完全或近乎完全依从),不良事件一般较轻(总共22%的人报告有阴道刺激,13%的人报告有异常分泌物)。这些结果表明,Evvy的家庭宏基因组平台与远程医疗和智能治疗算法相结合,可产生强大的临床和微生物学结果。这项工作为管理细菌性阴道病提供了一种新方法,细菌性阴道病是一种具有持续高复发率的挑战性疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ed7/12298078/7fcb61155257/microorganisms-13-01623-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验