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43 citation(s) found for "Sen, Ayan".

1053: Survey of Perception of Using Video Recognition and Computer Vision in the Intensive Care Unit
Glancova, Alzbeta, Do, Quan , Sanghavi, Devang , Sen, Ayan , Dong, Yue, Lehman, Lindsey, Pickering, Brian W. , Franco, Pablo Moreno , Herasevich, Vitaly

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 526-526

10.1097/01.ccm.0000730100.43165.64 Get It

Abstract 227: Cover Up- It's a Code Blue: Protecting Staff without Compromising Patient Outcomes
Amour, Shae Saint, Kiley, Brigid, DeMarco, Matthew, Sederstrom, Jane, Sen, Ayan , Control, Infection Prevention and, Patel, Bhavesh, Singbartl, Kai , Control, Infection Prevention and, Patel, Bhavesh

Mayo Clinic

Circulation | November 9, 2020 | Volume: 142 | Issue: Suppl_4 | Pages: No page available

10.1161/circ.142.suppl_4.227 Get It

Introduction: During the COVID-19 pandemic, hospitals across the globe have been challenged with following the chain of survival with Get With The Guidelines (GWTG) metrics of time to epinephrine, CPR and early defibrillation while ensuring resuscitation teams are protected with recommended PPE. Healthcare organizations are seeking innovative processes to implement PPE during resuscitation events (codes) while maintaining a timely response. Hypothesis: Utilization of for PPE for Airborne Precautions for all resuscitation events can be achieved without compromising patient outcomes or GWTG metrics. Methods: In collaboration with Infection Prevention and Control (IPAC), the Resuscitation Subcommittee at an academic medical center developed a modified airborne PPE workflow for both inpatient and outpatient resuscitation events. For staff safety, all patients are considered as COVID-19 positive during a code response. Identifying timely donning and doffing techniques of PPE as paramount for maintaining GWTG metrics, a Safety Officer was implemented as an additional member of the code team. The role of the Safety Officer is to assist with the PPE process and to monitor code team compliance. Other measures implemented included attaching PPE supply bags to all code carts for easy access, adding viral filters on the bag valve masks, conducting educational mock code events, and providing online resources for staff. To measure process outcomes, pre COVID-19 pandemic GWTG metrics, mortality, and survival to discharge rates were compared with COVID-19 metrics utilizing the modified airborne PPE workflow. Conclusions: Despite additional use of PPE, the hospital has maintained patient outcomes and adhered to the GWTG resuscitation measures of time to epinephrine, CPR and defibrillation while ensuring the utmost safety of the code team during the COVID-19 pandemic. Table 1: GWTG-Award Measures *Preliminary Results
Risk Factors for and Outcomes Associated With Peri-Intubation Hypoxemia: A Multicenter Prospective Cohort Study
Smischney, Nathan J. , Brauer, Ernesto, Morrow, Lee E. , Ofoma, Uchenna R. , Kaufman, David A. , Sen, Ayan , Venkata, Chakradhar , Morris, Peter E. , Bansal, Vikas , Ofoma, Uchenna R , Bansal, Vikas , Smischney, Nathan J , Khanna, Ashish K.

Mayo Clinic

Journal of Intensive Care Medicine | October 1, 2020 | Volume: 36 | Issue: 12 | Pages: 1466-1474

10.1177/0885066620962445 | PMID 33000661 Get It

Background: Little is known about hypoxemia surrounding endotracheal intubation in the critically ill. Thus, we sought to identify risk factors associated with peri-intubation hypoxemia and its effects’ on the critically ill. Methods: Data from a multicenter, prospective, cohort study enrolling 1,033 critically ill adults who underwent endotracheal intubation across 16 medical/surgical ICUs in the United States from July 2015-January 2017 were used to identify risk factors associated with peri-intubation hypoxemia and its effects on patient outcomes. We defined hypoxemia as any pulse oximetry ≤ 88% during and up to 30 minutes following endotracheal intubation. Results: In the full analysis (n = 1,033), 123 (11.9%) patients experienced the primary outcome. Five risk factors independently associated with our outcome were identified on multiple logistic regression: cardiac related reason for endotracheal intubation (OR 1.67, [95% CI 1.04, 2.69]); pre-intubation noninvasive ventilation (OR 1.66, [95% CI 1.09, 2.54]); emergency intubation (OR 1.65, [95% CI 1.06, 2.55]); moderate-severe difficult bag-mask ventilation (OR 2.68, [95% CI 1.72, 4.19]); and crystalloid administration within the preceding 24 hours (OR 1.24, [95% CI 1.07, 1.45]; per liter up to 4 liters). Higher baseline S p O 2 was found to be protective (OR 0.93, [95% CI 0.91, 0.96]; per percent up to 97%). Consistent results were seen in a separate analysis on only stable patients (n = 921, 93 [10.1%]) (those without baseline hypoxemia ≤ 88%). Peri-intubation hypoxemia was associated with in-hospital mortality (OR 2.40, [95% CI 1.33, 4.31]; stable patients: OR 2.67, [95% CI 1.38, 5.17]) but not ICU length of stay (point estimate 0.9 days, [95% CI −1.0, 2.8 days]; stable patients: point estimate 1.5 days, [95% CI −0.4, 3.4 days]) after adjusting for age, body mass index, illness severity, airway related reason for intubation (i.e., acute respiratory failure), and baseline S P O 2 . Conclusions: Patients with pre-existing noninvasive ventilation and volume loading who were intubated emergently in the setting of hemodynamic compromise with bag-mask ventilation described as moderate-severe were at increased risk for peri-intubation hypoxemia. Higher baseline oxygenation was found to be protective against peri-intubation hypoxemia. Peri-intubation hypoxemia was associated with in-hospital mortality but not ICU length of stay. Trial registration: Clinicaltrials.gov identifier: NCT02508948 and Registered Report Identifier: RR2-10.2196/11101.
Gastric ischemia and portal vein thrombosis in a COVID-19-infected patient
Swanson, Karen L., McCain, Josiah D. , Sen, Ayan , Pasha, Shabana F., Low, See‐Wei , Kawashima, Akira

Mayo Clinic

Endoscopy | September 2, 2020 | Volume: 52 | Issue: 12 | Pages: E465-E466

10.1055/a-1230-3357 | PMID 32877937 Get It

Reversible cardiac dysfunction in severe COVID‐19 infection, mechanisms and case report
Chao, Chieh‐Ju , DeValeria, Patrick A. , Sen, Ayan , Lee, Hong Seok , Pedrotty, Dawn , Patel, B. M. , Arsanjani, Reza , Naqvi, Tasneem Z. , Lee, Hong, Pedrotty, Dawn M, Arsanjani, Reza , Chao, Chieh-Ju

Mayo Clinic

Echocardiography | August 28, 2020 | Volume: 37 | Issue: 9 | Pages: 1465-1469

10.1111/echo.14807 | PMID 32856328 Get It

AbstractA previously healthy 49‐year‐old male patient presented with COVID‐19 infection and required mechanical ventilation and extracorporeal membrane oxygenation due to severe hypoxemia. Echocardiography showed cardiac dysfunction with an apical sparing strain pattern, which rapidly normalized within a week. Apical sparing myocardial strain in patients with COVID‐19 infection may suggest reverse‐type stress cardiomyopathy.
Review: In critically ill adults, diagnostic accuracy of noninvasive tests for detecting elevated ICP varies
Sen, Ayan

Mayo Clinic

Annals of Internal Medicine | December 16, 2019 | Volume: 171 | Issue: 12 | Pages: JC68

10.7326/acpj201912170-068 | PMID 31842226 Get It

It Was the Best of Rounds, It Was the Worst of Rounds, It Was the Age of Wisdom, It Was the Age of Electronic Health Records…*
Sen, Ayan , Herasevich, Vitaly , Farmer, Joseph C. , Herasevich, Vitaly , Coopersmith, Craig M

Mayo Clinic

Critical Care Medicine | October 4, 2018 | Volume: 46 | Issue: 10 | Pages: 1685-1686

10.1097/ccm.0000000000003344 | PMID 30216300 Get It

Team Cognition As a Means to Improve Care Delivery in Critically Ill Patients With Cancer After Hematopoietic Cell Transplantation
McNeese, Nathan J. , Khera, Nandita , Wordingham, Sara E., Arring, Noël , Nyquist, Sharon, Gentry, A.E., Sen, Ayan , Gentry, Amy, Tomlinson, Brian, Cooke, Nancy J, Tomlinson, Brian , Cooke, Nancy J.

Mayo Clinic

Journal of Oncology Practice | September 21, 2016 | Volume: 12 | Issue: 11 | Pages: 1091-1099

10.1200/jop.2016.013672 | PMID 27650839 Get It

Hematopoietic cell transplantation (HCT) is an important and complex treatment modality for a variety of hematologic malignancies and some solid tumors. Although outcomes of patients who have undergone HCT and require care in intensive care units (ICUs) have improved over time, mortality rates remain high and there are significant associated costs. Lack of a team-based approach to care, especially during critical illness, is detrimental to patient autonomy and satisfaction, and to team morale, ultimately leading to poor quality of care. In this manuscript, we describe the case of a patient who had undergone HCT and was in the ICU setting, where inconsistent team interaction among the various stakeholders delivering care resulted in a lack of shared goals and poor outcomes. Team cognition is cognitive processing at the team level through interactions among team members and is reflected in dynamic communication and coordination behaviors. Although the patient received multidisciplinary care as needed in a medically complicated case, a lack of team cognition and, particularly, inconsistent communication among the dynamic teams caring for the patient, led to mixed messages being delivered with high-cost implications for the health-care system and the family. This article highlights concepts and recommendations that begin a necessary in-depth assessment of implications for clinical care and initiate a research agenda that examines the effects of team cognition on HCT teams, and, more generally, critical care of the patient with cancer.
A Human Factors Approach to Building High-Performance Multi- Professional Cardiac Arrest Teams
Hinski, Sandra Tarbell, McNeese, Nathan J. , Sen, Ayan , Patel, Bhavesh , Cooke, Nancy J.

Mayo Clinic

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care | July 26, 2016 | Volume: 5 | Issue: 1 | Pages: 68-71

10.1177/2327857916051006 Get It

Background: The American Heart Association (AHA) estimates that annually there are approximately 200,000 in-hospital cardiac arrests (IHCA). Hospitals have implemented multidisciplinary teams trained in advanced cardiac life support (ACLS) to provide care during these events. Outcome measures of these team’s effectiveness are typically mortality rates at discharge and reduction of unplanned cardiac arrest occurring outside of the ICU. Neither is a sensitive measure of team effectiveness. Methods: Using a retrospective analysis of 10 simulated code blue events we developed a metric of team effectiveness for code blue teams that also identifies specific teamwork weaknesses. Results: The new ASU-Mayo metric was highly correlated with Mayo high performance team scale (MHPTS) (r (6) = .71), team emergency assessment measure (TEAM) (r (6) = .84), and the observational skill-based assessment tool for resuscitation (OSCAR) (r (6) = .89) metrics as well as the ratings of the subject matter experts (r (6) = .88). Conclusions: We developed a team performance metric that allows for the identification of performance gaps therefore, can allow for targeted intervention with the intention of providing trainees richer feedback on performance. Also, it will generate quantitative assessments of the value of mock code exercises and can be used to evaluate interventions. Our understanding of teamwork during a simulated code blue event was also enhanced.