Anesthesiology Research
Research drives everything we do at Montefiore Einstein Anesthesiology. We focus our efforts on addressing critical questions in perioperative outcomes, access to care, pain and opioid-free analgesia as well as efforts to understand the effect of anesthesia on the developing brain. We have cultivated a clinically impactful research program dedicated to supporting investigator-initiated research from bench to bedside. We leverage our leading electronic health record database through our work in the Anesthesiology Digital Health Laboratory to analyze and inform decisions in clinical operations, clinical research and quality improvement. Our research extends beyond conventional anesthesiology to include prospective clinical studies, epidemiology and social science investigations—all aimed at advancing perioperative care.
Science at the Heart of Medicine
At the forefront of innovation and research, Montefiore Einstein Anesthesiology offers a research-driven, evidence-based approach to care. We are committed to finding new and better ways to improve patient safety and to advance the future of anesthesiology, surgery and medicine. Through global collaborations and cross-disciplinary partnerships, our world-renowned research team collaborates closely across disciplines leading basic, translational and clinical research with a unique emphasis on digital health research, population health, performance improvement and quality assurance. Our sophisticated digital health database powers data-driven decisions in clinical operations, and education, enabling personalized patient care and better outcomes.
Leading the Way with Groundbreaking Research
For more than six decades, our research team has transformed the landscape of anesthesiology through groundbreaking discoveries that continue to shape modern medicine. Our legacy of innovation extends from pioneering the use of epidural analgesia for pain management during childbirth—a technique that has since benefited millions of mothers worldwide; to landmark achievements such as introducing game-changing medications that are now cornerstones of anesthesiology practice. We were the first department in the United States to use succinylcholine in clinical practice, and we introduced both naloxone and 2-chloroprocaine into clinical practice. Our early advocacy for balanced anesthesia and development of low-flow nitrous oxide-oxygen techniques revolutionized clinical practices nationwide. The “priming principle” we discovered—which dramatically reduces muscle relaxant onset time—remains a fundamental concept in anesthesia.
These historic firsts are matched by our ongoing commitment to advancing the field. Our researchers have unveiled crucial insights into neuromuscular junction pathophysiology and the complex pharmacology of muscle relaxants, narcotics and local anesthetics. We made history by co-designing the first National Institutes of Health (NIH)-funded, anesthesiologist-led, multicenter, randomized control trial designed to understand the pathophysiology of the neuromuscular junction. Most recently, our team developed a machine learning tool that predicts high-risk patients for postoperative respiratory failure—exemplifying our continued dedication to improving patient safety through technological innovation. From the operating room to the research laboratory, our work continues to advance the boundaries of what’s possible in anesthesiology, perioperative medicine and critical care, always with one goal in mind: delivering safer, more effective patient care that also optimizes the comfort and psychological well-being of our patients who are recovering from major surgical procedures or severe trauma.
Montefiore Einstein Digital Health Laboratory
The Digital Health Laboratory is the cornerstone of clinical and observational research at Montefiore Einstein Anesthesiology and includes a team of physician-scientists, research fellows and data scientists. Our researchers generate and analyze highly granular, pharmacophysiological patient data from more than one million patients who have undergone surgery at Montefiore Einstein or in one of our collaborating healthcare networks to understand the effects of new medications on patients’ recovery from surgery or critical illness. This robust database enables our team to identify rare complications and is the foundation for individualized perioperative treatment. By harnessing Montefiore Einstein’s database of unique patient demographics, we emphasize access to care in our research.
A recent landmark study from our Lab, published in Nature Medicine, exemplifies our impact. Analyzing more than 250,000 noncardiac surgery patients across multiple centers, we demonstrated that new-onset postoperative atrial fibrillation (POAF) occurs predictably and increases ischemic stroke risk. Importantly, we found that postoperative oral anticoagulation reduced stroke risk during the first year after surgery.
Modifying Stroke Risk
Researchers in our Digital Health Lab recently published an article in Nature Medicine, titled “Role of anticoagulation therapy in modifying stroke risk associated with new-onset atrial fibrillation after non-cardiac surgery.” Watch this video to learn more about this important publication, which was the result of multidisciplinary collaboration with our colleagues in Cardiology and Thoracic Surgery.
Clinical & Observational Research
Our clinical experience in the operating rooms and intensive care units directly shapes Montefiore Einstein Anesthesiology’s research agenda. Our investigations span the full spectrum of anesthesiology subspecialties with a systematic approach: we identify breakthrough treatments through retrospective analysis and validate these findings through prospective clinical studies.
Our Pediatric Anesthesiology team drives innovation in pediatric perioperative care through targeted research initiatives. Our research focuses on two key areas: monitoring brain activity during anesthesia using electroencephalogram (EEG) technology and investigating the relationship between sleep and anesthesia in young patients. These studies aim to enhance our understanding of neurodevelopment while improving the safety and effectiveness of pediatric anesthesia care. We are conducting observational studies utilizing the electroencephalogram (EEG) during anesthesia in infants and young children to assess how the brain correlates general and spinal anesthesia. This could provide insight into our understanding of neurodevelopment as well as research to better understand the mechanisms of sleep and anesthesia in infants and children.
Montefiore Einstein Anesthesiology is advancing patient care through predictive analytics, digital health research, and innovative machine learning tools that optimize surgical intensive care unit (SICU) outcomes and reduce postoperative respiratory complications. Our team has improved sedation protocols, enhanced mobilization therapy for critically ill patients and implemented a system-wide difficult airway code recognized for excellence in patient safety. Additionally, our investigations into anesthetic pharmacology, including ketamine’s impact on respiratory and neurological functions, contribute to a deeper understanding of perioperative medicine and personalized anesthetic approaches.
With a focus on patient safety, researchers in our Digital Health Lab have conducted observational studies showing that having an anesthesiologist administer sedation for patients undergoing procedures in non-operating room settings improves patient outcomes. We completed the first retrospective cohort study analyzing the impact of anesthesiologist-led sedation on patients undergoing interventional radiology and gastroenterology procedures. The study, which included data from more than 22,800 patients at Montefiore Einstein from 2016 to 2022, found that those who received sedation performed by an anesthesiologist had a 44% lower risk of non-home discharge. Researchers found that patients undergoing biliary or vascular procedures, as well as those who were admitted to the intensive care unit (ICU) within 72 hours before their procedure, benefit the most from having an anesthesiologist manage their sedation.
Montefiore Einstein Anesthesiology is leading efforts to reduce postoperative respiratory failure and perioperative venous thromboembolism through quality improvement initiatives and advanced prediction models. Our physician-scientists have developed machine-learning tools to identify high-risk patients for postoperative complications, leading to system-wide improvements in ICU sedation practices and patient outcomes. Additionally, our Anesthesiology Digital Health Laboratory has created a predictive model to assess thromboembolism risk, enhancing patient safety through targeted interventions and new chemoprophylaxis guidelines in collaboration with Montefiore Einstein’s Pharmacy Department.
We are dedicated to improving clinical outcomes for our diverse patient population. Our Digital Health Laboratory leverages advanced analytics to study health disparities and develop targeted solutions. By understanding how barriers to care affect surgical outcomes, we create interventions that benefit not only our local patients but also inform care nationwide. Our work spans local initiatives in the Bronx and extends to broader national and international efforts, reflecting our commitment to fostering a healthier society.
Linking our clinical research and bedside care, Montefiore Einstein Anesthesiology prioritizes quality assurance. Together with our nursing and medicine colleagues, we routinely track key outcomes and process measures and work to address any issues during the perioperative process. For example, we analyze the efficient transfer of patients, central line-associated blood stream infection (CLABSI) rates and postoperative early mobilization. We are constantly working to improve our quality assurance mechanisms.
Clinical Trials
Research, Education & Training
At Montefiore Einstein Anesthesiology, we offer a wide variety of training and educational programs for individuals at all levels of their scientific and biomedical careers. We offer a dynamic and supportive research program for residents interested in becoming physician-scientists, with extensive opportunities to build a research career. In addition to clinical experience, Montefiore Einstein Anesthesiology residents and fellows are offered dedicated non-clinical research time and personalized mentorship. Residents and fellows also engage in clinical trials and project-based research with the help of a dedicated research coordinator to advise on study protocols and Institutional Review Board (IRB) guidelines for human subject research. We are currently offering four residency research tracks, ranging from introductory to advanced and intensive.
We also offer a one-year opportunity for medical students to be full-time research associates in our Digital Health Lab, learning advanced observational research theory and statistics and contributing to multiple peer-reviewed manuscripts. Students are mentored by our senior researchers and have the opportunity to participate in clinical trials, learn Stata coding and present their work at national and international conferences. To learn more about this offering, which is open to both U.S. and international medical students, please contact our Clinical Trials Specialist Rafi Khandaker at rkhandaker@montefiore.org and our Vice Chair of Research Dr. Olubukola Nafiu at onafiu@montefiore.org.
Published Research
A Risk Assessment Model for Predicting Perioperative Venous Thromboembolism in Patients Receiving Surgery Under Anesthesia Care
April 3, 2025
Aline M. Grimm, Felix Borngaesser, Fran Ganz-Lord, Annika Bald, Peter Shamamian, Michael E. Kiyatkin, Maíra I. Rudolph, Greta M. Eikermann, Ankeeta Shukla, Ling Zhang, Simon T. Schaefer, Maximilian Schaefer, Sophia Riesemann, Annika Eyth, Pooja Kumar, Matthias Eikermann, Alex C. Spyropoulos, Christopher Tam, Ibraheem M. Karaye
Association of Anaesthesia-Directed Sedation with Unplanned Discharge to a Nursing Home Following Non-Ambulatory Interventional Radiology and Endoscopic Procedures: A Retrospective Cohort Study
March 2025
Annika Eyth, Felix Borngaesser, Osamah M. Zmily, Maíra I. Rudolph, Ling Zhang, Vilma A. Joseph, Oleg V. Evgenov, Jason Oliveira, Nicholas Kolmel, Seena Dehkharghani, Irene Osborn, Michael E. Kiyatkin, Andrew D. Racine, Peter P. Semczuk, Shweta Garg, Karuna Wongtangman, Matthias Eikermann, Ibraheem M. Karaye
Perioperative Lung Expansion and Pulmonary Outcomes After Open Abdominal Surgery Versus Usual Care in the USA (PRIME-AIR): A Multicentre, Randomised, Controlled, Phase 3 Trial
February 24, 2025
Fernandez-Bustamante A, Parker R.A., Frendl G, Lee J.W., Nagrebetsky A, Grecu L, Amar D, Tanaka P, Sprung J, Gupta R.A., Subramanian B, Giquel J, Eikermann M, Musch G, Nadler J.W., Gama de Abreu M, Bartels K, Grover M, Chen L.L., Sparling J, Douin D.J., Weingarten T, Wagener G, Thompson B.T., Vidal Melo M.F.
Optimizing Neuromuscular Block Monitoring and Reversal: A Large-Scale Quality Improvement Initiative in a Diverse Healthcare Setting
February 2025
Pavel Goriacko, Jerry Chao, Philipp Fassbender, Maíra I. Rudolph, Paul Beechner, Harshal Shukla, Vicken Yaghdjian, Curtis Choice, Frank Aroh, Mark Sinnett, Ibraheem M. Karaye, Matthias Eikermann
The Effect of a Bundle Intervention for Ambulatory Otorhinolaryngology Procedures on Same-Day Case Cancellation Rate and Associated Costs
February 14, 2024
Karuna Wongtangman, Peter Semczuk, James Freda, Randal V. Smith, Vasanth Pushparaj, Beryl Aasman, Maíra I. Rudolph, Elie Salloum, Michael E. Kiyatkin, Pratiksha Anand, Fran Ganz-Lord, Charles Himes, Philipp Fassbender, Matthias Eikermann
Association of Dexmedetomidine Use with Haemodynamics, Postoperative Recovery, and Cost in Paediatric Anaesthesia: A Hospital Registry Study
April 16, 2024
Omid Azimaraghi, Maíra I. Rudolph, Can M. Luedeke, Tina Ramishvili, Giselle D. Jaconia, Flora T. Scheffenbichler, Terry-Ann Chambers, Ibraheem M. Karaye, Matthias Eikermann, Jerry Chao, William M. Jackson
Development and Validation of an Instrument to Predict Prolonged Length of Stay in the Postanesthesia Care Unit Following Ambulatory Surgery
November 13, 2023
Stephanie Rupp, Elizabeth Ahrens, Maíra I. Rudolph, Omid Azimaraghi, Simon T. Schaefer, Philipp Fassbender, Charles P. Himes, Pratiksha Anand, Pouya Mirhaji, Randal Smith, James Freda, Matthias Eikermann, Karuna Wongtangman
Development of an Automated, General-Purpose Prediction Tool for Postoperative Respiratory Failure Using Machine Learning: A Retrospective Cohort Study
November 1, 2023
Michael E. Kiyatkin, Boudewijn Aasman, Melissa J. Fazzari, Maíra I. Rudolph, Marcos F. Vidal Melo, Matthias Eikermann, Michelle N. Gong
Journal of Clinical Anesthesia, Volume 90, Article 111194
Association of Reintubation and Hospital Costs and Its Modification by Postoperative Surveillance: A Multicenter Retrospective Cohort Study
September 16, 2023
Maíra I. Rudolph, Omid Azimaraghi, Elie Salloum, Lillian J. Wachtendorf, Ahmad Suleiman, Thomas Kammerer, Simon T. Schaefer, Matthias Eikermann, Michael E. Kiyatkin