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Klebanoff MA, Schuit E, Lamont RF, Larsson PG, Odendaal HJ, Ugwumadu A, Kiss H, Petricevic L, Andrews WW, Hoffman MK, Shennan A, Seed PT, Goldenberg RL, Emel LM, Bhandaru V, Weiner S, Larsen MD. Antibiotic treatment of bacterial vaginosis to prevent preterm delivery: Systematic review and individual participant data meta-analysis. Paediatr Perinat Epidemiol 2023; 37:239-251. [PMID: 36651636 PMCID: PMC10171232 DOI: 10.1111/ppe.12947] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 12/06/2022] [Accepted: 12/11/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Bacterial vaginosis (BV) increases preterm delivery (PTD) risk, but treatment trials showed mixed results in preventing PTD. OBJECTIVES Determine, using individual participant data (IPD), whether BV treatment during pregnancy reduced PTD or prolonged time-to-delivery. DATA SOURCES Cochrane Systematic Review (2013), MEDLINE, EMBASE, journal searches, and searches (January 2013-September 2022) ("bacterial vaginosis AND pregnancy") of (i) clinicaltrials.gov; (ii) Cochrane Central Register of Controlled Trials; (iii) World Health Organization International Clinical Trials Registry Platform Portal; and (iv) Web of Science ("bacterial vaginosis"). STUDY SELECTION AND DATA EXTRACTION Studies randomising asymptomatic pregnant individuals with BV to antibiotics or control, measuring delivery gestation. Extraction was from original data files. Bias risk was assessed using the Cochrane tool. Analysis used "one-step" logistic and Cox random effect models, adjusting gestation at randomisation and PTD history; heterogeneity by I2 . Subgroup analysis tested interactions with treatment. In sensitivity analyses, studies not providing IPD were incorporated by "multiple random-donor hot-deck" imputation, using IPD studies as donors. RESULTS There were 121 references (96 studies) with 23 eligible trials (11,979 participants); 13 studies (6915 participants) provided IPD; 12 (6115) were incorporated. Results from 9 (4887 participants) not providing IPD were imputed. Odds ratios for PTD for metronidazole and clindamycin versus placebo were 1.00 (95% CI 0.84, 1.17), I2 = 62%, and 0.59 (95% CI 0.42, 0.82), I2 = 0 before; and 0.95 (95% CI 0.81, 1.11), I2 = 59%, and 0.90 (95% CI: 0.72, 1.12), I2 = 0, after imputation. Time-to-delivery did not differ from null with either treatment. Including imputed IPD, there was no evidence that either drug was more effective when administered earlier, or among those with a PTD history. CONCLUSIONS Clindamycin, but not metronidazole, was beneficial in studies providing IPD, but after imputing data from missing IPD studies, treatment of BV during pregnancy did not reduce PTD, nor prolong pregnancy, in any subgroup or when started earlier in gestation.
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Affiliation(s)
- Mark A. Klebanoff
- Center for Perinatal Research, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio, USA
- Departments of Pediatrics and Obstetrics and Gynecology, and Division of Epidemiology, The Ohio State University, Columbus, Ohio, USA
| | - Ewoud Schuit
- Julius Center for Health Sciences and Primary Care, and Cochrane Netherlands, both at University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ronald F. Lamont
- Division of Surgery, University College London, Northwick Park Institute for Medical Research Campus, London, UK
- Odense University Hospital, Department of Gynecology and Obstetrics, University of Southern Denmark, Institute of Clinical Research, Research Unit of Gynecology and Obstetrics, Odense, Denmark
| | - Per-Göran Larsson
- Department of Obstetrics and Gynaecology, Skaraborg Hospital, Skövde, Sweden
- Department of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden
| | - Hein J. Odendaal
- Department of Obstetrics and Gynaecology, Stellenbosch University, Cape Town, South Africa
| | - Austin Ugwumadu
- Department of Obstetrics and Gynecology, St. George’s Hospital, University of London, London, UK
| | - Herbert Kiss
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Wien, Austria
| | - Ljubomir Petricevic
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Wien, Austria
| | - William W. Andrews
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Matthew K. Hoffman
- Department of Obstetrics and Gynecology, Christiana Health Services, Newark, Delaware, USA
| | - Andrew Shennan
- Department of Women and Children’s Health, School of Life Course Sciences, FoLSM, King’s College, London, UK
| | - Paul T. Seed
- Division of Women’s Health, King’s College, London, UK
| | - Robert L. Goldenberg
- Department of Obstetrics and Gynecology, Columbia University, New York City, New York, USA
| | - Lynda M. Emel
- Biostatistics, Bioinformatics, and Epidemiology/VIDD, Fred Hutchinson Cancer Center Seattle, Seattle, Washington, USA
| | - Vinay Bhandaru
- The Biostatistics Center, Milken School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | - Steven Weiner
- The Biostatistics Center, Milken School of Public Health, The George Washington University, Washington, District of Columbia, USA
| | - Michael D. Larsen
- The Biostatistics Center, Milken School of Public Health, The George Washington University, Washington, District of Columbia, USA
- Department of Mathematics and Statistics, St. Michael’s College, Colchester, Vermont, USA
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