Morgenstern Rachelle

Erekat Asala N, Williams Zoë R, Morgenstern Rachelle, Szanto David, Wall Michael, Miller Neil R et al.

Machine learning identified clinical factors predicting early and later visual loss progression in NAION, offering insights for future biomarker-driven prediction models.

Levin Leonard A, Bhatti M Tariq, Klier Sharon, Morgenstern Rachelle, Szanto David, Miller Neil R et al.

QPI-1007 for acute NAION was safe but didn't meet its primary endpoint. However, it preserved vision in patients with worse baseline acuity, suggesting a potential benefit for severe cases.

Kupersmith Mark J, Fraser Clare L, Morgenstern Rachelle, Miller Neil R, Levin Leonard A, Jette Nathalie

This study found NAION patients' cardiovascular risk factors varied by country/race/sex but weren't more prevalent than the general population. Small cup-to-disc ratio was the most common risk factor, suggesting other NAION triggers exist.