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154 citation(s) found for "Kashyap, Rahul".

1098: International Participant Satisfaction With the CERTAIN Structured Approach to Acute Care
Sun, Yuqiang, Heise, Katherine J., Gajić, Ognjen, Dong, Yue, Tekin, Aysun , Kashyap, Rahul , Niven, Alexander S. , Gajic, Ognjen

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 550-550

10.1097/01.ccm.0000730280.27054.9e Get It

146: Controversial Role of Corticosteroids on Mortality in COVID-19: Systematic Review and Meta-Analysis
Mehra, Ishita , Mahapure, Kiran S. , Armaly, Paige, Madas, Nimisha, Shah, Viraj , Gupta, Ishita , Bhurwal, Abhishek , Kashyap, Rahul , Bansal, Vikas

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 58-58

10.1097/01.ccm.0000726472.05866.e3 Get It

144: Clinical Outcomes of Remdesivir in COVID-19: A Systematic Review and Meta-Analysis
Gupta, Ishita , Mahapure, Kiran S. , Hassanain, Sahar , Makadia, Janaki, Madas, Nimisha, Armaly, Paige, Mehra, Ishita , Bansal, Vikas , Singh, Romil , Bhurwal, Abhishek , Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 57-57

10.1097/01.ccm.0000726464.46654.fe Get It

143: Lung Transplantation for Severe Lung Damage in Patients With End-Stage COVID-19: A Systematic Review
Mahapure, Kiran S. , Gupta, Ishita , Mehra, Ishita , Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 57-57

10.1097/01.ccm.0000726460.44216.82 Get It

145: Pediatric COVID-19: A Report From Viral Infection and Respiratory Illness Universal Study (VIRUS)
Bhalala, Utpal , Kumar, Vishakha K. , Boman, Karen , Retford, Lynn, Gist, Katja M. , Tripathi, Sandeep , Chiotos, Kathleen , Dapul, Heda , Gharpure, Varsha , Bansal, Vikas, Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 58-58

10.1097/01.ccm.0000726468.36252.01 Get It

140: Efficacy and Safety of Tocilizumab in Hospitalized COVID-19 Patients: A Systematic Review
Mahmud, Samia, Nagraj, Sanjana , Karia, Rutu , Karale, Smruti , Akku, Radhika , Mehra, Ishita , Joshi, Avni Y. , Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 55-55

10.1097/01.ccm.0000726448.40803.c6 Get It

117: Obesity Is a Risk Factor for Increased COVID-19 Severity: A Systemic Review and Meta-Regression
Bansal, Vikas , Singh, Romil , Bhurwal, Abhishek , Rathore, Sawai Singh , Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 43-43

10.1097/01.ccm.0000726356.00193.e7 Get It

61: Risk Factors for Severe COVID-19 Illness in Children: Analysis of the VIRUS: COVID-19 Registry
Kumar, Vishakha K. , Boman, Karen , Retford, Lynn, Bhalala, Utpal , Tripathi, Sandeep , Gist, Katja M. , Chiotos, Kathleen , Dapul, Heda , Gharpure, Varsha , Bansal, Vikas , Kashyap, Rahul

Mayo Clinic

Critical Care Medicine | December 18, 2020 | Volume: 49 | Issue: 1 | Pages: 32-32

10.1097/01.ccm.0000726272.88301.cd Get It

Electronic Medical Record-Based Pager Notification Reduces Excess Oxygen Exposure in Mechanically Ventilated Subjects
Pannu, Sonal , Holets, Steven R, Marquez, Alberto , Holets, Steven, Li, Man, Kashyap, Rahul , Brock, Guy , Gajic, Ognjen

Mayo Clinic

Respiratory Care | October 6, 2020 | Volume: 66 | Issue: 3 | Pages: 434-441

10.4187/respcare.07573 | PMID 33023997 Get It

BACKGROUND: Liberal oxygenation during mechanical ventilation is harmful in critically ill patients and in certain subsets of patients, including those with stroke, acute myocardial infarction, and cardiac arrest. Surveillance through electronic medical records improves safety of mechanical ventilation in the ICU. To date, this practice has not been used for oxygen titration ( F IO 2 ) in adults. We hypothesize that a surveillance system based on the electronic medical record to alert respiratory therapists to titrate F IO 2 is feasible, safe, and efficacious. METHODS: In this pilot study, mechanically ventilated subjects were randomized to respiratory therapist-driven F IO 2 titration after an electronic alert versus standard of care (ie, titration based on physician order). An automated surveillance system utilizing a hyperoxemia-detection algorithm generated an electronic alert to a respiratory therapist’s pager. Hyperoxemia was defined as F IO 2 > 0.5 and S pO 2 > 95% for > 30 min. No other aspects of treatment were changed. We assessed feasibility, safety, and preliminary efficacy. Primary outcome was duration of hyperoxemia during mechanical ventilation. An unsafe outcome was identified as hypoxemia ( S pO 2 < 88%) within 1 h after titration per alert. Feasibility was assessed by a survey of respiratory therapists. RESULTS: Of 226 randomized subjects, 31 were excluded (eg, programming errors of the electronic alerts, no consent, physician discretion). We included 195 subjects, of whom 86 were in the intervention arm. Alert accuracy was 78%, and respiratory therapists responded to 64% of the alerts. During mechanical ventilation, exposure to hyperoxemia significantly decreased in the intervention group (median 13.5 h [interquartile range 6.2–29.4] vs 18.8 h [interquartile range 9.6–37.4]). No episodes of significant hypoxemia were registered. Most respiratory therapists agreed that the alert was helpful in reducing excessive oxygen exposure. CONCLUSIONS: Use of an electronic surveillance system to titrate F IO 2 was safe and feasible and showed preliminary efficacy in reducing hyperoxemia. Our study serves to justify larger randomized controlled trials for F IO 2 titration.
Guiding Principles for the Conduct of Observational Critical Care Research for Coronavirus Disease 2019 Pandemics and Beyond: The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study Registry
Kashyap, Rahul , Kumar, Vishakha K. , Boman, Karen , Bolesta, Scott , Bansal, Vikas , Bansal, Vikas , Kashyap, Rahul , Walkey, Allan J. , Sheldrick, Radley Christopher , Zampieri, Fernando Godinho , Harhay, Michael Oscar , Gajic, Ognjen

Mayo Clinic

Critical Care Medicine | September 15, 2020 | Volume: 48 | Issue: 11 | Pages: e1038-e1044

10.1097/ccm.0000000000004572 | PMID 32932348 Get It

Objectives: Use of observational data to inform the response and care of patients during a pandemic faces unique challenges. Design: The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study COVID 2019 Registry Core data and research methodology team convened over virtual meetings throughout March to June 2020 to determine best practice goals for development of a pandemic disease registry to support rapid data collection and analysis. Setting: International, multi-center registry of hospitalized patients. Patients: None. Interventions: None. Measurements and Main Results: Large-scale observational data collection requires: 1) quality assurance and harmonization across many sites; 2) a transparent process for selecting from among many potential research questions; 3) the use of best practices in design of descriptive, predictive, and inferential studies; (4) innovative approaches to characterize random error in the setting of constantly updated data; (5) rapid peer-review and reporting; and (6) transitions from a focus on discovery to implementation. Herein, we describe the guiding principles to best practices and suggestions for innovations to study design and reporting within the coronavirus disease 2019 Viral Infection and Respiratory Illness Universal Study pandemic registry. Conclusions: Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study coronavirus disease 2019 registry sought to develop and implement prespecified best practices combined with grassroots efforts from clinical sites worldwide in order to develop clinically useful knowledge in response to a pandemic.