Can failure be predicted in methotrexate treatment with the modified parameter?

Area of Science:

• Reproductive Medicine
• Gynecologic Oncology
• Clinical Chemistry

Background:

• Ectopic pregnancy poses significant risks, necessitating accurate prediction of treatment response.
• Current methods for predicting methotrexate therapy success in ectopic pregnancy require improvement.

Purpose of the Study:

• To enhance the prediction of single-dose methotrexate therapy success in ectopic pregnancy.
• To identify patients at risk of treatment failure and rupture using novel complete blood count and β-hCG parameters.

Main Methods:

• Retrospective analysis of 233 ectopic pregnancy patients.
• Development and evaluation of BW (β-hCGxWBC/1000) and BP (β-hCGx1000/PLT) markers using ROC curve analysis.
• Logistic regression to assess the association of markers with surgical intervention.

Main Results:

• BW and BP markers demonstrated high diagnostic accuracy (AUC 0.99 and 0.94, respectively) for predicting surgery need.
• Specific thresholds for β-hCG (>2139.03), BW (>30.96), and BP (>10.17) were significantly associated with surgical intervention.
• Increased BW and BP levels significantly correlated with a higher likelihood of requiring surgery.

Conclusions:

• BW and BP, in conjunction with β-hCG, are effective predictors for identifying ectopic pregnancy patients requiring surgery.
• These novel markers can aid in optimizing methotrexate therapy and potentially reduce surgical interventions and hospital stays.