Safety and Efficacy of Antiviral Drugs and Vaccines in Pregnant Women: Insights from Physiologically Based Pharmacokinetic Modeling and Integration of Viral Infection Dynamics.
Bárbara CostaMaria João GouveiaNuno ValePublished in: Vaccines (2024)
Addressing the complexities of managing viral infections during pregnancy is essential for informed medical decision-making. This comprehensive review delves into the management of key viral infections impacting pregnant women, namely Human Immunodeficiency Virus (HIV), Hepatitis B Virus/Hepatitis C Virus (HBV/HCV), Influenza, Cytomegalovirus (CMV), and SARS-CoV-2 (COVID-19). We evaluate the safety and efficacy profiles of antiviral treatments for each infection, while also exploring innovative avenues such as gene vaccines and their potential in mitigating viral threats during pregnancy. Additionally, the review examines strategies to overcome challenges, encompassing prophylactic and therapeutic vaccine research, regulatory considerations, and safety protocols. Utilizing advanced methodologies, including PBPK modeling, machine learning, artificial intelligence, and causal inference, we can amplify our comprehension and decision-making capabilities in this intricate domain. This narrative review aims to shed light on diverse approaches and ongoing advancements, this review aims to foster progress in antiviral therapy for pregnant women, improving maternal and fetal health outcomes.
Keyphrases
- hepatitis c virus
- human immunodeficiency virus
- sars cov
- pregnant women
- hepatitis b virus
- artificial intelligence
- machine learning
- decision making
- antiretroviral therapy
- hiv infected
- healthcare
- big data
- coronavirus disease
- liver failure
- body mass index
- hiv aids
- physical activity
- dna methylation
- birth weight
- weight gain
- risk assessment
- preterm birth