- Design
- Prospective, non-interventional natural history study
- Population
- 14,114 pregnant women without prior FNAIT at 28 sites
- Primary outcome
- Anti-HPA-1a alloimmunisation in higher-risk women by 10 weeks post partum
- Effect
- 1.7% HPA-1b/1b; 2 of 19 higher-risk women alloimmunised (11%, 1.3% to 33.1%)
This prospective natural history study screened 14,114 pregnant women with no history of fetal-neonatal alloimmune thrombocytopenia (FNAIT) at 28 sites in North America and Europe. At 10 to 14 weeks it applied a sequence: maternal HPA-1 genotype, HLA-DRB3*01:01 status, anti-HPA-1a antibodies and fetal HPA-1 genotype.
Overall 1.7% were HPA-1b/1b, with variation by race and geography. Only 24 women met the full higher-risk definition. Of the 19 followed up, 2 (11%, 95% CI 1.3% to 33.1%) had anti-HPA-1a antibodies by 10 weeks post partum. A further 18 HPA-1b/1b, DRB3*01:01-positive women already had antibodies at screening.
FNAIT can cause fetal intracranial haemorrhage in a first pregnancy, which is why screening keeps being debated. This study mostly shows how few women fall into the highest-risk group and how wide the uncertainty is around their conversion rate. It is a methodology and prevalence study, not evidence that population screening improves outcomes.
- Suspect FNAIT in any neonate with unexplained severe thrombocytopenia or intracranial haemorrhage, including a first baby.
- Refer women with a previous FNAIT-affected pregnancy to fetal medicine early; recurrence risk is high.
- Expect pre-existing anti-HPA-1a antibodies in some HPA-1b/1b women at first screening, not only new conversions.
- Population HPA-1a screening is not standard practice; this study does not change that.
Why it matters
It gives the first multi-ethnic estimate of how many women sit in the highest-risk HPA-1a group.
The statistics, in plain English
Two of 19 women is 11%, but with so few women the interval runs from about 1% to 33%, so the true conversion rate is very uncertain. Five higher-risk women were lost to follow-up, which could move the estimate either way.
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