Clinical Prediction Model for the Prediction of Tubal Pregnancy Rupture

A recent study explored the risk factors for tubal rupture in tubal pregnancy, followed by the construction and validation of a prediction model for tubal rupture.

The key findings of the study are as follows-

• Potential risk factors for tubal pregnancy rupture are- amenorrhea duration, the maximum diameter of the mass, pregnancy site, serum β-HCG levels, and a maximum diameter of pelvic hematocele.
• All these variables, except the maximum diameter of the pelvic hematocele, are independent risk factors for tubal pregnancy rupture. 
• A prediction model for tubal pregnancy rupture was established and validated, with the area under the receiver operating characteristic curve being 0.861 for the training set and 0.887 for the validation set, indicating the model's good discriminative ability. 
• The calibration curves of the training set and validation set established a good fit between the actual and predicted values. 
• The model had good clinical applicability.
• A web server was developed at https://ep10.shinyapps.io/DynNomapp/ to ease nomogram use.

This study suggested a prediction model for tubal pregnancy rupture with good predictive efficacy.

Yi L, Huang W, Liu Q. et al. Construction and Validation of a Clinical Prediction Model for Predicting Tubal Pregnancy Rupture Based on Nomogram. J Obstet Gynecol India. 2024. https://doi.org/10.1007/s13224-024-01980-y