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Related Experiment Video

Updated: May 8, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Developing a Preterm Birth Prediction Model in Pregnant People with HIV using a Population-Based Cohort.

Jeffrey Man Hay Wong1, Terry Lee2, Gal Av-Gay3

  • 1Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada .

Journal of Acquired Immune Deficiency Syndromes (1999)
|May 6, 2026
PubMed
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Corrigendum to "Penicillin allergy de-labeling: Adaptation of risk stratification tool for patients and families" [World Allergy Organ J 17(8) (2024 Jul 23) 100939] doi: 10.1016/j.waojou.2024.100939. eCollection 2024 Aug.

The World Allergy Organization journal·2026

Preterm birth in pregnant people living with HIV (PLWH) is linked to substance use, Hepatitis C, and infections. A new model predicts preterm birth risk for PLWH, aiding targeted interventions.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Public Health

Background:

  • Preterm birth is a significant concern in pregnancies complicated by HIV.
  • Identifying risk factors is crucial for developing targeted interventions and improving outcomes for pregnant people living with HIV (PLWH).

Purpose of the Study:

  • To identify independent risk modifiers for preterm birth in PLWH.
  • To develop a predictive model for preterm birth in this population.

Main Methods:

  • Analysis of singleton births from the British Columbia Perinatal HIV Surveillance Database (1997-2022).
  • Univariate and multivariate logistic regression analyses were employed to identify risk factors.
  • A prediction model was developed using stepwise regression with Akaike information criterion.
Keywords:
HIVHepatitis Cprediction modelpregnancypreterm birthssubstance use

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Last Updated: May 8, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

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Main Results:

  • Of 578 pregnancies, 19.2% resulted in preterm births.
  • Independent risk factors identified include substance use (OR: 1.9), Hepatitis C (OR: 1.98), unsuppressed viral load (OR: 2.03), and STIBV (OR: 2.06).
  • A prediction model incorporating these factors achieved an AUC of 0.73, with a 9% predicted probability of preterm birth for PLWH without identified risk factors.

Conclusions:

  • Substance use, unsuppressed viral load, Hepatitis C co-infection, and STIBV are significant independent risk factors for preterm birth in PLWH.
  • The developed prediction model can aid in identifying high-risk pregnancies for targeted management.