A Narrative Review Discussing the Efficiency of Personalized Dosing Algorithm of Follitropin Delta for Ovarian Stimulation and the Reproductive and Clinical Outcomes.
Ovidiu Dumitru IlieOvidiu-Dumitru IlieNicoleta AntonOlivia Andreea MarcuIoana-Sadyie ScripcariuCiprian IleaPublished in: Diagnostics (Basel, Switzerland) (2023)
Background: Follitropin delta is the third recombinant human follicle-stimulating hormone (r-hFSH) expressed in a host cell line of human fetal retinal origin that currently emphasizes that the actual tendency of administration is a personalized dosing algorithm based on the anti-Müllerian hormone (AMH) and body mass index (BMI) for ovarian stimulation. Methods: In this context, we aimed, in the present manuscript, to gather all available data published between 2018-2022 regarding the co-administration and administration of follitropin delta and the clinical outcomes reported following an in vitro fertilization (IVF). Results: Follitropin delta is non-inferior in contrast to its previously launched agents for ovarian stimulation, enhancing a similar-to-superior response reflected by both the reproductive and pregnancy outcomes in parallel with a low risk of ovarian hyperstimulation syndrome (OHSS), being well tolerated. The body weight and AMH level are factors that may influence the outcome in a patient. Despite controversy and results that refute these arguments on several occasions, follitropin delta exceeds the benefits of conventional dosing with either follitropin alfa or follitropin beta. Thus, all post hoc, derived analyses and subsets of patients that participated in subsequent studies support this statement. Conclusions: Despite the relatively limited spectrum of data in the current literature, most authors brought potent proof, supporting the subsequent use of this drug depending on the patient's profile and overcoming ethnic-related limitations. Although others contradict these observations, this topic and drug possess substantial potential, which is why additional studies are mandatory to fill the existing gaps in our knowledge and expand these experiences at a larger scale supported by the obtained reproductive and clinical outcomes that clearly indicate an overcoming of all limitations.
Keyphrases
- pregnancy outcomes
- body mass index
- body weight
- case report
- recombinant human
- machine learning
- end stage renal disease
- healthcare
- deep learning
- systematic review
- ejection fraction
- endothelial cells
- big data
- electronic health record
- mental health
- newly diagnosed
- chronic kidney disease
- pregnant women
- magnetic resonance
- physical activity
- magnetic resonance imaging
- weight gain
- prognostic factors
- emergency department
- randomized controlled trial
- patient reported outcomes
- computed tomography
- peritoneal dialysis
- diabetic retinopathy
- risk assessment