{"title":"M6P模型在未知位置妊娠中预测异位妊娠的评价:突尼斯的一项前瞻性单中心研究。","authors":"Wissal Jaafar , Ferdaous Mellouli , Hamdi Dhaouadi , Yasmine Chiba , Malak Medemagh , Mehdi Bouassida , Nahed Khalifa , Mechaal Mourali","doi":"10.1016/j.jogoh.2025.103035","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>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).</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":15871,"journal":{"name":"Journal of gynecology obstetrics and human reproduction","volume":"54 10","pages":"Article 103035"},"PeriodicalIF":1.6000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the M6P model in predicting ectopic pregnancy among pregnancies of unknown location: A prospective monocentric study in Tunisia\",\"authors\":\"Wissal Jaafar , Ferdaous Mellouli , Hamdi Dhaouadi , Yasmine Chiba , Malak Medemagh , Mehdi Bouassida , Nahed Khalifa , Mechaal Mourali\",\"doi\":\"10.1016/j.jogoh.2025.103035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>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).</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":15871,\"journal\":{\"name\":\"Journal of gynecology obstetrics and human reproduction\",\"volume\":\"54 10\",\"pages\":\"Article 103035\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of gynecology obstetrics and human reproduction\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468784725001321\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of gynecology obstetrics and human reproduction","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468784725001321","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Evaluation of the M6P model in predicting ectopic pregnancy among pregnancies of unknown location: A prospective monocentric study in Tunisia
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.
期刊介绍:
Formerly known as Journal de Gynécologie Obstétrique et Biologie de la Reproduction, Journal of Gynecology Obstetrics and Human Reproduction is the official Academic publication of the French College of Obstetricians and Gynecologists (Collège National des Gynécologues et Obstétriciens Français / CNGOF).
J Gynecol Obstet Hum Reprod publishes monthly, in English, research papers and techniques in the fields of Gynecology, Obstetrics, Neonatology and Human Reproduction: (guest) editorials, original articles, reviews, updates, technical notes, case reports, letters to the editor and guidelines.
Original works include clinical or laboratory investigations and clinical or equipment reports. Reviews include narrative reviews, systematic reviews and meta-analyses.