Journal of gynecology obstetrics and human reproduction · 2025
Evaluation of the M6P model in predicting ectopic pregnancy among pregnancies of unknown location: A prospective monocentric study in Tunisia.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Jaafar Wissal, Mellouli Ferdaous, Dhaouadi Hamdi, Chiba Yasmine, Medemagh Malak, Bouassida Mehdi, Khalifa Nahed, Mourali Mechaal
Аннотация
INTRODUCTION: Pregnancy of unknown location (PUL) refers to a positive pregnancy test without definitive ultrasound evidence of intrauterine or ectopic pregnancy. It present a diagnostic challenge in early pregnancy management due to the risk of ectopic pregnancy (EP).
METHODS: A prospective, observational study was conducted on 179 women presenting with PUL. We assessed the predictive accuracy of the M6P model and analyzed its performance compared to standard clinical, biological, and ultrasound parameters among patients with PUL in a Tunisian population.
RESULTS: The M6P model showed promising performance in stratifying EP risk factors significantly associated with high-risk EP included history of ectopic pregnancy, intrauterine device use, history of pelvic inflammatory disease, and smoking.
CONCLUSION: The M6P model is a valuable, objective, and reproducible tool for early risk stratification in PUL, with potential to reduce unnecessary hospitalizations and improve patient care.
METHODS: A prospective, observational study was conducted on 179 women presenting with PUL. We assessed the predictive accuracy of the M6P model and analyzed its performance compared to standard clinical, biological, and ultrasound parameters among patients with PUL in a Tunisian population.
RESULTS: The M6P model showed promising performance in stratifying EP risk factors significantly associated with high-risk EP included history of ectopic pregnancy, intrauterine device use, history of pelvic inflammatory disease, and smoking.
CONCLUSION: The M6P model is a valuable, objective, and reproducible tool for early risk stratification in PUL, with potential to reduce unnecessary hospitalizations and improve patient care.