The saddest week of @DownstateSurg in recent memory has come to a close. Our PGY2 @ErfanFarid passed away peacefully after sudden cardiac arrest. His legacy of dedication, altruism, and excellence shines as a radiant beacon.
@BambergerJake rounding off a series of @sunydownstate on dementia and patient selection biases. First day of #ASC2024 scientific sessions close to complete.
3+ years in the making, it feels good to see this one finally published! Our RCT showed no difference in postop pain between patients who received acetaminophen-oxycodone vs ibuprofen following URSLL for stone disease. @MantuGuptaMD@JohnathanKhusid@William_Atallah
Excited to share our paper looking at complications following open vs. robot assisted prostatectomy in Afro-Caribbean men has been published! Go check it out https://t.co/oBr6J44rMZ @Lakshay_Khosla_@awiner24
Absolute pleasure sharing our RCT at #AUA22 last weekend. Our results indicate NSAID can provide equivalent pain relief compared to opiods following URS for stone disease @MantuGuptaMD
Excited to share our study investigating how metabolic syndrome impacts risk of stone disease shedding light to the possibility that insulin resistance may not tell the whole story https://t.co/B09tT7TNJB @MantuGuptaMD@JohnathanKhusid@DanielCRosenUro@William_Atallah
Despite my hope that the impact of #COVID -19 will be < than in #China, #Iran & #Italy, this report makes a clear case for #social#distancing. NOW! Peak will hit within a few weeks,,,Let’s ramp up testing and be smart, realistic,cautious and courteous! https://t.co/YIAI3UvvnA
@OTRAXER Love the emphasis on the COD/hypercalciuria association! Strong connection to our paper about metabolic differences between CaOx stones https://t.co/QKAxR6xn2W @MantuGuptaMD
Despite our knowledge of physicochemical factors that govern stone formation, much remains to be elucidated | What factors drive staghorn versus non-staghorn pattern growth in patients with metabolic stones? | @JEndourology https://t.co/HG4Sfgs5BU @MantuGuptaMD@BambergerJake
@DrMotamedinia@MantuGuptaMD Our models demonstrate both to significantly predict stone impaction, HU under the stone provides insight on the environment within the ureteral lumen and PCUT analyzes potential edema/inflammation surrounding the stone