Medical management of early pregnancy loss with mifepristone and misoprostol in emergency departments compared to a Complex Family Planning office: Implementation of a COVID-19 institutional policy change
Abstract
OBJECTIVES: To evaluate the implementation of mifepristone and misoprostol for medical management of early pregnancy loss (EPL) in emergency departments (EDs) by comparing efficacy, complication, and follow-up rates for patients treated in EDs to the Complex Family Planning (CFP) outpatient office.
STUDY DESIGN: In COVID-19's first wave, we expanded medical management of EPL to our EDs. This retrospective study evaluated 72 patients receiving mifepristone and misoprostol for EPL from April 1, 2020 to March 31, 2021, comparing treatment success, safety outcomes, and follow-up rates by location.
RESULTS: Thirty-three (46%) patients received care in the ED and 39 (54%) at CFP. Treatment success was lower in EDs (23, 70%) compared to CFP (34, 87%), but after adjusting for insurance status and pregnancy type (miscarriage, uncertain viability, unknown location), this was not significant: adjusted odds ratio 0.48 (95% CI 0.13-1.81). More ED patients underwent emergent interventions (3 vs 0) including two emergent uterine aspirations, one uterine artery embolization, and two blood transfusions. Two cases were attributed to misdiagnosis (cesarean scar and cervical ectopic pregnancies interpreted as incomplete miscarriages) and one to guideline nonadherence. No complications occurred in the CFP group. Follow-up rates were over 80% in both groups. More ED patients engaged in telehealth follow-up (67% vs 18%, p ≤ 0.0001).
CONCLUSIONS: In this small sample, we observed a trend toward…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 72 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.