Assessing the Utility of Hemoglobin, HALP Score, FAR Ratio, and Coagulation Parameters as Predictors for Preterm

Ingrid Hrubaru1,2, Andrei Motoc3, Catalin Dumitru1

  • 1Department of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

Insights

Serum markers like the HALP score and coagulation parameters show promise in predicting preterm birth risk non-invasively. These findings could aid in identifying high-risk pregnancies for timely intervention.

Area of Science:

  • Obstetrics and Gynecology
  • Clinical Chemistry
  • Hematology

Background:

  • Premature birth is a major global health concern with significant neonatal mortality and morbidity.
  • Current methods for predicting preterm birth are often invasive, costly, or unavailable.
  • Non-invasive serum markers could offer a viable alternative for risk assessment.

Purpose of the Study:

  • To evaluate the predictive capacity of specific serum parameters for preterm birth.
  • To assess hemoglobin, HALP score, and coagulation markers as non-invasive predictors.
  • To compare the predictive accuracy of these markers in pregnant women during the third trimester.

Main Methods:

  • Retrospective analysis of 161 women with preterm birth history, matched 1:1 with term birth controls.
  • Laboratory samples collected during the third trimester of pregnancy.
  • Analysis of hemoglobin, HALP score, PT, aPTT, D-dimers, and FAR score for predictive value.

Main Results:

  • All six studied parameters showed fair discrimination (AUC 0.600-0.700).
  • The HALP score demonstrated the highest predictive value (AUC=0.680, sensitivity=75%) and specificity (69%).
  • D-dimers, FAR score, and HALP score showed strong predictive capabilities with significant odds ratios.

Conclusions:

  • Serum parameters, particularly the HALP score and coagulation markers, can serve as effective non-invasive predictors of preterm birth.
  • These markers can aid in identifying high-risk pregnancies, enabling improved obstetric care.
  • Further external validation is recommended to confirm these predictive findings.