13 results on '"Bryant, W."'
Search Results
2. Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record
- Author
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Oliphant, Bryant W., Cain-Nielsen, Anne H., Jarman, Molly P., Sangji, Naveen F., Scott, John W., Regenbogen, Scott, and Hemmila, Mark R.
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- 2024
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3. Multicenter evaluation of financial toxicity and long-term health outcomes after injury
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Scott, John W., Anderson, Geoffrey A., Conatser, Amelia, de Souza, Cairo, Evans, Emily, Goodwin, Zachary, Jakubus, Jill L., Kelm, Julia, Mekled, Iman, Monahan, Janessa, Oh, Esther J., Oliphant, Bryant W., and Hemmila, Mark R.
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- 2024
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4. Stability of Epinephrine in a Normal Saline Solution.
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Sawicki, Caroline M., McKim, Daniel B., Wang, Hongrui, Vasas, Morgan, Blakeslee, Joshua J., Jatana, Courtney A., Dib, Patrick, Cornelius, Bryant W., and Wade, Spencer D.
- Abstract
Dilution of concentrated epinephrine prior to intravenous use during clinical emergencies can delay urgent interventions. The objective of this study was to determine whether diluted epinephrine remains stable and sterile over time in common hospital settings. Epinephrine samples were prepared by clinically relevant double dilution techniques. Samples were stored in 10-mL syringes and incubated under 1 of 4 simulated hospital environments with a mixture of lighting and temperature settings: 4°C/20°C, with or without fluorescent lighting. Samples were incubated for 0, 15, 30, 60, or 90 days. Capillary zonal electrophoresis was used to quantify the concentration of epinephrine and/or presence of any degradation products. All samples were tested for the presence of bacterial growth using blood agar cultures. Diluted epinephrine samples remained stable for up to 90 days in all 4 simulated clinical storage conditions. No bacterial colony-forming units were detected in any of the environmental samples regardless of incubation duration, light, or temperature conditions. Diluted epinephrine for anticipated clinical emergencies may remain clinically useful for up to 90 days, thus improving patient safety, access to medications, and overhead costs by reducing waste. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Behaviour support in dentistry: A Delphi study to agree terminology in behaviour management.
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Mac Giolla Phadraig, Caoimhin, Healy, Olive, Fisal, Aisyah Ahmad, Yarascavitch, Carilynne, van Harten, Maria, Nunn, June, Newton, Tim, Sturmey, Peter, Asimakopoulou, Koula, Daly, Blánaid, Hosey, Marie Therese, Kammer, Pedro Vitali, Dougall, Alison, Geddis‐Regan, Andrew, Pradhan, Archana, Setiawan, Arlette Suzy, Kerr, Bryan, Friedman, Clive S., Cornelius, Bryant W., and Stirling, Christopher
- Subjects
DENTAL care ,CONSENSUS (Social sciences) ,TERMS & phrases ,SELF-management (Psychology) ,RESEARCH funding ,DENTIST-patient relationship ,DESCRIPTIVE statistics ,LEARNING theories in education ,DENTISTRY ,HEALTH behavior ,SOCIAL support ,DELPHI method ,BEHAVIOR therapy - Abstract
Objectives: Dental behaviour support (DBS) describes all specific techniques practiced to support patients in their experience of professional oral healthcare. DBS is roughly synonymous with behaviour management, which is an outdated concept. There is no agreed terminology to specify the techniques used to support patients who receive dental care. This lack of specificity may lead to imprecision in describing, understanding, teaching, evaluating and implementing behaviour support techniques in dentistry. Therefore, this e‐Delphi study aimed to develop a list of agreed labels and descriptions of DBS techniques used in dentistry and sort them according to underlying principles of behaviour. Methods: Following a registered protocol, a modified e‐Delphi study was applied over two rounds with a final consensus meeting. The threshold of consensus was set a priori at 75%. Agreed techniques were then categorized by four coders, according to behavioural learning theory, to sort techniques according to their mechanism of action. Results: The panel (n = 35) agreed on 42 DBS techniques from a total of 63 candidate labels and descriptions. Complete agreement was achieved regarding all labels and descriptions, while agreement was not achieved regarding distinctiveness for 17 techniques. In exploring underlying principles of learning, it became clear that multiple and differing principles may apply depending on the specific context and procedure in which the technique may be applied. Discussion: Experts agreed on what each DBS technique is, what label to use, and their description, but were less likely to agree on what distinguishes one technique from another. All techniques were describable but not comprehensively categorizable according to principles of learning. While objective consistency was not attained, greater clarity and consistency now exists. The resulting list of agreed terminology marks a significant foundation for future efforts towards understanding DBS techniques in research, education and clinical care. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Academic Anesthesiology: What Does It Mean for Most of Us?
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Tran, Bryant W., primary, May, Keith A., additional, and Pal, Nirvik, additional
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- 2024
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7. Behaviour support in dentistry : A Delphi study to agree terminology in behaviour management.
- Author
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Mac Giolla Phadraig, Caoimhin, Healy, Olive, Fisal, Aisyah Ahmad, Yarascavitch, Carilynne, van Harten, Maria, Nunn, June, Newton, Tim, Sturmey, Peter, Asimakopoulou, Koula, Daly, Blánaid, Hosey, Marie Therese, Kammer, Pedro Vitali, Dougall, Alison, Geddis-Regan, Andrew, Pradhan, Archana, Setiawan, Arlette Suzy, Kerr, Bryan, Friedman, Clive S, Cornelius, Bryant W, Stirling, Christopher, Hamzah, Siti Zaleha, Decloux, Derek, Molina, Gustavo, Klingberg, Gunilla, Ayup, Hani, Buchanan, Heather, Anjou, Helena, Maura, Isabel, Bernal Fernandez, Ilidia Reyes, Limeres Posse, Jacobo, Hare, Jennifer, Francis, Jessica, Norderyd, Johanna, Rohani, Maryani Mohamed, Prabhu, Neeta, Ashley, Paul F, Marques, Paula Faria, Chopra, Shalini, Pani, Sharat Chandra, Krämer, Susanne, Mac Giolla Phadraig, Caoimhin, Healy, Olive, Fisal, Aisyah Ahmad, Yarascavitch, Carilynne, van Harten, Maria, Nunn, June, Newton, Tim, Sturmey, Peter, Asimakopoulou, Koula, Daly, Blánaid, Hosey, Marie Therese, Kammer, Pedro Vitali, Dougall, Alison, Geddis-Regan, Andrew, Pradhan, Archana, Setiawan, Arlette Suzy, Kerr, Bryan, Friedman, Clive S, Cornelius, Bryant W, Stirling, Christopher, Hamzah, Siti Zaleha, Decloux, Derek, Molina, Gustavo, Klingberg, Gunilla, Ayup, Hani, Buchanan, Heather, Anjou, Helena, Maura, Isabel, Bernal Fernandez, Ilidia Reyes, Limeres Posse, Jacobo, Hare, Jennifer, Francis, Jessica, Norderyd, Johanna, Rohani, Maryani Mohamed, Prabhu, Neeta, Ashley, Paul F, Marques, Paula Faria, Chopra, Shalini, Pani, Sharat Chandra, and Krämer, Susanne
- Abstract
OBJECTIVES: Dental behaviour support (DBS) describes all specific techniques practiced to support patients in their experience of professional oral healthcare. DBS is roughly synonymous with behaviour management, which is an outdated concept. There is no agreed terminology to specify the techniques used to support patients who receive dental care. This lack of specificity may lead to imprecision in describing, understanding, teaching, evaluating and implementing behaviour support techniques in dentistry. Therefore, this e-Delphi study aimed to develop a list of agreed labels and descriptions of DBS techniques used in dentistry and sort them according to underlying principles of behaviour. METHODS: Following a registered protocol, a modified e-Delphi study was applied over two rounds with a final consensus meeting. The threshold of consensus was set a priori at 75%. Agreed techniques were then categorized by four coders, according to behavioural learning theory, to sort techniques according to their mechanism of action. RESULTS: The panel (n = 35) agreed on 42 DBS techniques from a total of 63 candidate labels and descriptions. Complete agreement was achieved regarding all labels and descriptions, while agreement was not achieved regarding distinctiveness for 17 techniques. In exploring underlying principles of learning, it became clear that multiple and differing principles may apply depending on the specific context and procedure in which the technique may be applied. DISCUSSION: Experts agreed on what each DBS technique is, what label to use, and their description, but were less likely to agree on what distinguishes one technique from another. All techniques were describable but not comprehensively categorizable according to principles of learning. While objective consistency was not attained, greater clarity and consistency now exists. The resulting list of agreed terminology marks a significant foundation for future efforts towards understanding DBS techniques i
- Published
- 2024
- Full Text
- View/download PDF
8. Prime editing in mice with an engineered pegRNA
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Salem, Amr R., Bryant, W. Bart, Doja, Jaser, Griffin, Susan H., Shi, Xiaofan, Han, Weihong, Su, Yunchao, Verin, Alexander D., and Miano, Joseph M.
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- 2024
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9. Therapeutic efficacy of intravenous lidocaine infusion compared with thoracic epidural analgesia in major abdominal surgery: factors affecting successful thoracic epidural analgesia. Comment on Br J Anaesth 2023; 131: 947–54
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Banik, Ratan K., Tran, Bryant W., Belfar, Alexandra, Akhtaruzzaman, A.K.M., Nada, Eman, and Hanson, Neil
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- 2024
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10. Association of preoperative anaesthesia consultation before elective noncardiac surgery with patient and health system outcomes. Comment on Br J Anaesth 2023; 131: 937–46.
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Tran, Bryant W., Nelson, Mark, and Pal, Nirvik
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ANESTHESIA , *ELECTIVE surgery - Published
- 2024
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11. Calculation and Feedback of Risk-Adjusted Antibiotic Days as a Process Measure in a Statewide Trauma Collaborative
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Sangji, Naveen F., Dougherty, Jacob M., Tignanelli, Christopher J., Maqsood, Hannan A., Cain-Nielsen, Anne H., Oliphant, Bryant W., and Hemmila, Mark R.
- Abstract
Background Optimization of antibiotic stewardship requires determining appropriate antibiotic treatment and duration of use. Our current method of identifying infectious complications alone does not attempt to measure the resources actually utilized to treat infections in patients. We sought to develop a method accounting for treatment of infections and length of antibiotic administration to allow benchmarking of trauma hospitals with regard to days of antibiotic use.Methods Using trauma quality collaborative data from 35 American College of Surgeons (ACS)-verified level I and level II trauma centers between November 1, 2020, and January 31, 2023, a two-part model was created to account for (1) the odds of any antibiotic use, using logistic regression; and (2) the duration of usage, using negative binomial distribution. We adjusted for injury severity, presence/type of infection (eg, ventilator-acquired pneumonia), infectious complications, and comorbid conditions. We performed observed-to-expected adjustments to calculate each center’s risk-adjusted antibiotic days, bootstrapped Observed/Expected (O/E) ratios to create confidence intervals, and flagged potential high or low outliers as hospitals whose confidence intervals lay above or below the overall mean.Results The mean antibiotic treatment days was 1.98°days with a total of 88,403 treatment days. A wide variation existed in risk-adjusted antibiotic treatment days (.76°days to 2.69°days). Several hospitals were identified as low (9 centers) or high (6 centers) outliers.Conclusion There exists a wide variation in the duration of risk-adjusted antibiotic use amongst trauma centers. Further study is needed to address the underlying cause of variation and for improved antibiotic stewardship.
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- 2024
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12. Real-world learnings for digital health industry - NHS collaboration: Life sciences vision in action.
- Author
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Pope R, Zenonos A, Bryant W, Spiridou A, Key D, Patel S, Robinson J, Styles A, Rockenbach C, Bicknell G, Rajendran P, Taylor AM, and Sebire NJ
- Abstract
Several publications have indicated potential benefit from collaboration with industry regarding wider use of anonymised routine NHS healthcare data. However, there is limited guidance regarding exactly how such collaborations between NHS hospitals and industry partners should best be carried out, and specific issues that need to be addressed at an individual project or collaboration level to achieve desired benefit. Specifically, routine health data are complex, not collected in a format optimised for secondary use, and often require interpretation based on clinical understanding of the medical conditions or patients. In order to address these issues, a formal partnership collaboration was established between an NHS organisation (Great Ormond Street Hospital for Children) and a pharmaceutical company (Roche Products Limited), to jointly understand the problems that require solving in order to maximise such use of NHS data to support improved patient outcomes and other patient/NHS benefit in a more sustainable way. We present the learnings from the first 2 years of the 5-year collaboration addressing aspects such as complexities of NHS Electronic Patient Record (EPR), data engineering and use of modern technology to optimise such data. Plus, the development of appropriate technology and data infrastructure within the NHS to support interoperability and prepare the NHS for wider application of artificial intelligence. We also highlight the staff skills and training needed to support such systems in the NHS, governance structures and processes needed to ensure appropriate use of tools and data and how best to co-design with patients, their families, and clinical teams. It is hoped that this review may provide useful information for both healthcare organisations and industry partners working towards the future of optimal use of data and technology for healthcare benefit., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: GOSH organisation reports financial support was provided by Roche. GOSH organisation reports a relationship with Roche that includes: funding grants. Article coauthored by GOSH and Roche together as part of a 5-year collaboration agreement between NHS and industry as part of UK Life Sciences Industry Strategy reporting our joint learnings for others. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)
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- 2024
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13. A pragmatic, open-label, randomized controlled trial of Plasma-Lyte-148 versus standard intravenous fluids in children receiving kidney transplants (PLUTO).
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Hayes WN, Laing E, Brown R, Silsby L, Smith L, Thomas H, Kaloyirou F, Sharma R, Griffiths J, Hume-Smith H, Marks SD, Kessaris N, Christian M, Dudley J, Shenoy M, Malina M, Muorah M, Ware N, Yadav P, Reynolds B, Bryant W, Spiridou A, Wray J, and Peters MJ
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- Humans, Child, Sodium Chloride adverse effects, Electrolytes adverse effects, Fluid Therapy adverse effects, Isotonic Solutions adverse effects, Gluconates, Potassium Chloride, Magnesium Chloride, Sodium Acetate, Hyponatremia epidemiology, Hyponatremia etiology, Kidney Transplantation, Acidosis etiology, Acidosis chemically induced, Water-Electrolyte Imbalance etiology, Water-Electrolyte Imbalance chemically induced
- Abstract
Acute electrolyte and acid-base imbalance is experienced by many children following kidney transplant. This is partly because doctors give very large volumes of artificial fluids to keep the new kidney working. When severe, fluid imbalance can lead to seizures, cerebral edema and death. In this pragmatic, open-label, randomized controlled trial, we randomly assigned (1:1) pediatric kidney transplant recipients to Plasma-Lyte-148 or standard of care perioperative intravenous fluids (predominantly 0.45% sodium chloride and 0.9% sodium chloride solutions). We then compared clinically significant electrolyte and acid-base abnormalities in the first 72 hours post-transplant. The primary outcome, acute hyponatremia, was experienced by 53% of 68 participants in the Plasma-Lyte-148 group and 58% of 69 participants in the standard fluids group (odds ratio 0·77 (0·34 - 1·75)). Five of 16 secondary outcomes differed with Plasma-Lyte-148: hypernatremia was significantly more frequent (odds ratio 3·5 (1·1 - 10·8)), significantly fewer changes to fluid prescriptions were made (rate ratio 0·52 (0·40-0·67)), and significantly fewer participants experienced hyperchloremia (odds ratio 0·17 (0·07 - 0·40)), acidosis (odds ratio 0·09 (0·04 - 0·22)) and hypomagnesemia (odds ratio 0·21 (0·08 - 0·50)). No other secondary outcomes differed between groups. Serious adverse events were reported in 9% of participants randomized to Plasma-Lyte-148 and 7% of participants randomized to standard fluids. Thus, perioperative Plasma-Lyte-148 did not change the proportion of children who experienced acute hyponatremia compared to standard fluids. However fewer fluid prescription changes were made with Plasma-Lyte-148, while hyperchloremia and acidosis were less common., (Copyright © 2023 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)
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- 2024
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