Clinical Prediction Model for the Prediction of Tubal Pregnancy Rupture

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


user
IJCP Editorial Team

Comprising seasoned professionals and experts from the medical field, the IJCP editorial team is dedicated to delivering timely and accurate content and thriving to provide attention-grabbing information for the readers. What sets them apart are their diverse expertise, spanning academia, research, and clinical practice, and their dedication to upholding the highest standards of quality and integrity. With a wealth of experience and a commitment to excellence, the IJCP editorial team strives to provide valuable perspectives, the latest trends, and in-depth analyses across various medical domains, all in a way that keeps you interested and engaged.

 More FAQs by IJCP Editorial Team

pedia1
pedia3
Logo

Medtalks is India's fastest growing Healthcare Learning and Patient Education Platform designed and developed to help doctors and other medical professionals to cater educational and training needs and to discover, discuss and learn the latest and best practices across 100+ medical specialties. Also find India Healthcare Latest Health News & Updates on the India Healthcare at Medtalks