Should every patient stop their SGLT2 inhibitor before surgery? A new consensus published in the British Journal of Anaesthesia challenges the long-standing FDA recommendation of a universal 3–4 day hold. In this episode, we unpack the evidence, discuss which patients may actual ly benefit from continuing therapy, and explain how to balance the risk of euglycemic diabetic ketoacidosis against the cardiovascular and renal protection these drugs provide.

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⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠#nysora⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠#regionalanesthesia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠#anesthesia⁠⁠

Disclaimer: Medicine is an ever-changing science. As new research and clinical experience broaden, changes in treatment and drug therapy are required. The authors and publishers have checked with sources believed to be reliable in efforts to provide accurate information within the available or accepted standards of care. However, given the possibility of human error or changes in medical practice, neither the authors nor the publisher, nor any other party involved in the preparation of this platform warrants that the information contained herein is in every aspect accurate or complete, and they disclaim all responsibility for any errors or omissions for the results obtained from the use of the information contained in this work. Readers are advised to confirm the information contained herein with other sources. For example, readers are advised to check the product information of each drug mentioned, and that any information contained on NYSORA's Podcast is accurate.

Two patients may both be 85 years old, but one sails through surgery while the other struggles to recover. What's the difference? In this episode, we explore a 2026 paper on frailty in anesthesia and discuss why physiological reserve, not chronological age, may be the most important predictor of perioperative outcomes.

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Disclaimer: Medicine is an ever-changing science. As new research and clinical experience broaden, changes in treatment and drug therapy are required. The authors and publishers have checked with sources believed to be reliable in efforts to provide accurate information within the available or accepted standards of care. However, given the possibility of human error or changes in medical practice, neither the authors nor the publisher, nor any other party involved in the preparation of this platform warrants that the information contained herein is in every aspect accurate or complete, and they disclaim all responsibility for any errors or omissions for the results obtained from the use of the information contained in this work. Readers are advised to confirm the information contained herein with other sources. For example, readers are advised to check the product information of each drug mentioned, and that any information contained on NYSORA's Podcast is accurate.

Can an AI-powered virtual patient teach anesthesiology residents how to perform a preoperative assessment? In this episode, we discuss a 2026 Anesthesiology study by Barra and colleagues that tested AI-driven avatars as a tool for preanesthesia assessment training. The results suggest that virtual patients may improve learner confidence while dramatically reducing the cost and logistical burden of traditional simulation. Join us for conversation powered by NYSORA's MAIA, featuring insights from study authors Dr. Federico Lorenzo Barra and Dr. Luca Carenzo. Together, we examine the promise, limitations, and future of AI-powered simulation in anesthesiology education, and discuss why the future may not be AI versus educators, but AI working alongside them.

Read more about this topic HERE.

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Disclaimer: Medicine is an ever-changing science. As new research and clinical experience broaden, changes in treatment and drug therapy are required. The authors and publishers have checked with sources believed to be reliable in efforts to provide accurate information within the available or accepted standards of care. However, given the possibility of human error or changes in medical practice, neither the authors nor the publisher, nor any other party involved in the preparation of this platform warrants that the information contained herein is in every aspect accurate or complete, and they disclaim all responsibility for any errors or omissions for the results obtained from the use of the information contained in this work. Readers are advised to confirm the information contained herein with other sources. For example, readers are advised to check the product information of each drug mentioned, and that any information contained on NYSORA's Podcast is accurate.