Ovarian Hyperstimulation Syndrome (OHSS) is uncommon among oocyte donors during in vitro fertilization (IVF) procedure and is rarely associated with death. We report a case of a 23-year-old oocyte donor who suddenly died on the operation table during oocyte retrieval. She had no risk factors in her menstrual history, laboratory, or clinical parameters. The antagonist cycle, triggered with the GnRH agonist protocol, was carried out. The cause of death at autopsy was attributed to respiratory failure due to acute massive pulmonary edema, which developed due to the complication of OHSS. Only a few autopsy cases associated with OHSS have been published, but, as far as we know, no clinical or autopsy cases of sudden death caused by OHSS have been reported.

No abstract

The present study assessed the correlation between the stature and scapular measurements from both sides in order to develop population-specific regression equations to estimate the stature from measurements of the scapula in a contemporary Northern Indian population individually for the left and right sides. A total of 597 cadavers underwent postmortem multidetector computed tomography and subsequent medicolegal autopsy in our department between August 2021 and August 2022. Two hundred samples (100 males and 100 females) were randomly collected based on inclusion and exclusion criteria. Six linear anthropometric measurements of the scapula from either side were measured using the 3D volume-rendered technique by an electronic cursor. Each anthropometric measurement showed a significant difference between males and females ( p < 0.05). Regression analysis was applied to match the taken measurements against stature. The accuracy to predict stature ranged from 3.99 to 4.94 cm for males and from 4.49 to 5.27 cm for females, respectively. Left-sided measurements were better predictors of stature than the right side in both genders. The results of this study indicate that scapular measurements could be useful to estimate the stature of Northern Indian individuals, particularly in scenarios of disaster victim identification lacking long bones, which are considered to be better predictors to date.