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Photo by RDNE Stock project[/caption]
When it comes to fertility treatment, there’s no such thing as a “standard” patient. Every individual’s reproductive journey is shaped by a unique blend of health history, age, hormone levels, emotional readiness, and life circumstances. That’s why personalized fertility plans are not just helpful, they’re essential.
The world of reproductive medicine has evolved tremendously in the past two decades. We now understand that successful fertility treatment requires more than just a clinical checklist. While two people may receive the same diagnosis, their treatment paths can look vastly different. What works for one couple may not work for another.
Photo by RDNE Stock project[/caption]
When it comes to fertility treatment, there’s no such thing as a “standard” patient. Every individual’s reproductive journey is shaped by a unique blend of health history, age, hormone levels, emotional readiness, and life circumstances. That’s why personalized fertility plans are not just helpful, they’re essential.
The world of reproductive medicine has evolved tremendously in the past two decades. We now understand that successful fertility treatment requires more than just a clinical checklist. While two people may receive the same diagnosis, their treatment paths can look vastly different. What works for one couple may not work for another.

Dr. Dayan[/caption]
Natalie Dayan MD MSc FRCPC
General Internal Medicine and Obstetric Medicine,
Clinician-Scientist, Research Institute
Centre for Outcomes Research and Evaluation (CORE)
McGill University Health Centre
Montréal QC
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Infertility treatment is rising in use and has been linked with maternal and perinatal complications in pregnancy, but the extent to which it is associated with severe maternal morbidity (SMM), a composite outcome of public health importance, has been less well studied. In addition, whether the effect is due to treatment or to maternal factors is unclear.
We conducted a propensity matched cohort study in Ontario between 2006 and 2012. We included 11 546 women who had an infertility-treated pregnancy and a singleton live or stillborn delivery beyond 20 weeks. Each woman exposed to infertility treatment was then matched using a propensity score to approximately 5 untreated pregnancies (n=47 553) in order to address confounding by indication. Poisson regression revealed on overall 40% increase in the risk of a composite of SMM (one of 44 previously validated indicators using ICD-10CA codes and CCI procedure codes) (30.3 per 1000 births vs. 22.8 per 1000 births, adjusted relative risk 1.39, 95% CI 1.23-1.56). When stratified according to invasive (eg., IVF) and non-invasive treatments (eg. IUI or pharmacological ovulation induction), women who were treated with IVF had an elevated risk of having any severe maternal morbidity, and of having 3 or more SMM indicators (adjusted odds ratio 2.28, 95% CI 1.56 – 3.33), when compared with untreated women, whereas women who were treated with non-invasive treatments had no increase in these risks.












