Paxlovid (Nirmatrelvir and Ritonavir) Use in Pregnant and Lactating Woman: Current Evidence and Practice Guidelines-A Scoping Review.
Prabal ChourasiaBabu Sriram MaringantiMorgan Edwards-FlignerKarthik GanguAniesh BobbaAbu Baker SheikhRahul ShekharPublished in: Vaccines (2023)
COVID-19 virus, since the detection of the first case in Wuhan in 2019, has caused a worldwide pandemic with significant human, economic and social costs. Fortunately, several vaccines and treatments, both IV and oral, are currently approved against the COVID-19 virus. Paxlovid is an oral treatment option for patients with mild-to-moderate disease, and it effectively reduces disease severity in high-risk patients. Paxlovid is an oral antiviral that consists of a combination of nirmatrelvir and ritonavi. As an oral medication suitable for outpatient treatment, it reduces the cost, hospitalization and mortality associated with COVID-19 infection. The pregnant population is a high-risk category for COVID-19 disease. Given their exclusion in clinical trials, there is limited data regarding Paxlovid use in pregnant and lactating women. Indirect evidence from ritonavir use as part of HAART therapy in the pregnant and lactating population with HIV has shown no significant teratogenicity. Moreover, animal studies on the use of nirmatrelvir do not suggest teratogenicity. This article summarizes the available data on ritonavir and nirmatrelvir use during pregnancy and in ongoing clinical trials. We also review the recommendations of major societies worldwide regarding Paxlovid use in pregnant and breastfeeding patients.
Keyphrases
- coronavirus disease
- sars cov
- clinical trial
- end stage renal disease
- pregnant women
- chronic kidney disease
- newly diagnosed
- antiretroviral therapy
- healthcare
- ejection fraction
- primary care
- peritoneal dialysis
- endothelial cells
- heat stress
- emergency department
- prognostic factors
- preterm infants
- cardiovascular disease
- type diabetes
- clinical practice
- risk factors
- hiv aids
- randomized controlled trial
- patient reported outcomes
- machine learning
- polycystic ovary syndrome
- quality improvement
- data analysis
- replacement therapy
- smoking cessation