Title |
Urinary symptoms are associated with certain urinary microbes in urogynecologic surgical patients
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Published in |
International Urogynecology Journal & Pelvic Floor Dysfunction, August 2018
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DOI | 10.1007/s00192-018-3732-1 |
Pubmed ID | |
Authors |
Cynthia S. Fok, Xiang Gao, Huaiying Lin, Krystal J. Thomas-White, Elizabeth R. Mueller, Alan J. Wolfe, Qunfeng Dong, Linda Brubaker |
Abstract |
Persistent and de novo symptoms decrease satisfaction after urogynecologic surgery. We investigated whether the preoperative bladder microbiome is associated with urinary symptoms prior to and after urogynecologic surgery. One hundred twenty-six participants contributed responses to the validated OABq symptom questionnaire. Catheterized (bladder) urine samples and vaginal and perineal swabs were collected immediately preoperatively. Bacterial DNA in the urine samples and swabs was sequenced and classified. Preoperative symptom severity was significantly worse in sequence-positive patients. Higher OABq Symptom Severity (OABqSS) scores (more symptomatic) were associated with higher abundance in bladder urine of two bacterial species: Atopobium vaginae and Finegoldia magna. The presence of Atopobium vaginae in bladder urine also was correlated with its presence in either the vagina or perineum. Two specific bacterial species detected in bladder urine, Atopobium vaginae and Finegoldia magna, are associated with preoperative urinary symptom severity in women undergoing POP/SUI surgery. The reservoir for Atopobium vaginae may be adjacent pelvic floor niches. This observation should be validated in a larger cohort to determine whether there is a microbiologic etiology for certain preoperative urinary symptoms. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 21% |
United States | 2 | 11% |
India | 1 | 5% |
Australia | 1 | 5% |
Belgium | 1 | 5% |
Unknown | 10 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 58% |
Scientists | 5 | 26% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 21% |
Researcher | 9 | 17% |
Student > Doctoral Student | 6 | 12% |
Student > Master | 6 | 12% |
Other | 4 | 8% |
Other | 7 | 13% |
Unknown | 9 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 33% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Immunology and Microbiology | 5 | 10% |
Agricultural and Biological Sciences | 4 | 8% |
Unspecified | 2 | 4% |
Other | 11 | 21% |
Unknown | 8 | 15% |