Citations 3
Advancing specificity in delirium: The delirium subtyping initiative
Bowman, Emily M L , Fiest, Kirsten M. , Girard, Timothy D. , Jackson, Thomas , LaHue, Sara C. , MacLullich, Alasdair M. J. , McAuley, Daniel F. , Potter, Kelly , Sinha, Pratik , Slooter, Arjen J. C. , Sweeney, Aoife , Tieges, Zoë , Dellen, Edwin van , Wilcox, M. Elizabeth , Cunningham, Emma , Lindroth, Heidi L., Girard, Timothy D , MacLullich, Alasdair M J , Slooter, Arjen J C , Brummel, Nathan E. , Caplan, Gideon A. , Cunningham, Colm M. , Evered, Lisbeth Anne , Lindroth, Heidi , Oh, Esther S , Oldham, Mark , Page, Valérie , Pandharipande, Pratik , Zetterberg, Henrik
Alzheimer's & Dementia | July 31, 2023 | Volume: 20 | Issue: 1 | Pages: 183-194
AbstractBACKGROUNDDelirium, a common syndrome with heterogeneous etiologies and clinical presentations, is associated with poor long‐term outcomes. Recording and analyzing all delirium equally could be hindering the field's understanding of pathophysiology and identification of targeted treatments. Current delirium subtyping methods reflect clinically evident features but likely do not account for underlying biology.METHODSThe Delirium Subtyping Initiative (DSI) held three sessions with an international panel of 25 experts.RESULTSMeeting participants suggest further characterization of delirium features to complement the existing Diagnostic and Statistical Manual of Mental Disorders Fifth Edition Text Revision diagnostic criteria. These should span the range of delirium‐spectrum syndromes and be measured consistently across studies. Clinical features should be recorded in conjunction with biospecimen collection, where feasible, in a standardized way, to determine temporal associations of biology coincident with clinical fluctuations.DISCUSSIONThe DSI made recommendations spanning the breadth of delirium research including clinical features, study planning, data collection, and data analysis for characterization of candidate delirium subtypes.Highlights Delirium features must be clearly defined, standardized, and operationalized. Large datasets incorporating both clinical and biomarker variables should be analyzed together. Delirium screening should incorporate communication and reasoning.
Effect of Probiotics on Incident Ventilator-Associated Pneumonia in Critically Ill Patients
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JAMA | September 21, 2021 | Volume: 326 | Issue: 11 | Pages: 1024
Models of Peer Support to Remediate Post-Intensive Care Syndrome: A Report Developed by the Society of Critical Care Medicine Thrive International Peer Support Collaborative*
McPeake, Joanne , Hirshberg, Eliotte L. , Christie, LeeAnn M., Drumright, Kelly, Hough, Catherine L. , Meyer, Joel , Wade, Dorothy , Andrews, Adair, Bakhru, Rita N. , Bates, Samantha , Barwise, John, Beesley, Sarah J. , Boehm, Leanne M. , Brown, Sheryl, Clay, Alison S. , Firshman, Penelope , Greenberg, Steven B. , Harris, Wendy, Hope, Aluko A. , Hopkins, Ramona O., Howell, David C., Jackson, James C. , Johnson, Annie, Kross, Erin K. , Lamas, Daniela, MacLeod-Smith, Belinda, Mandel, Ruth, Marshall, John C., Nackino, Megan, Quasim, Tara , Sevin, Carla M. , Slack, Andrew, Spurr, Rachel, Still, Mary, Thompson, Carol, Weinhouse, Gerald L., Wilcox, M. Elizabeth , Iwashyna, Theodore J. , Haines, Kimberley , Bastarache, Julie A. , Hill, Christopher, Hodgson, Carol Lynette , Holdsworth, Clare, Howell, David C. J., Janssen, Anna, Mikkelsen, Mark E.
Critical Care Medicine | November 13, 2018 | Volume: 47 | Issue: 1 | Pages: e21-e27
Objectives: Patients and caregivers can experience a range of physical, psychologic, and cognitive problems following critical care discharge. The use of peer support has been proposed as an innovative support mechanism. Design: We sought to identify technical, safety, and procedural aspects of existing operational models of peer support, among the Society of Critical Care Medicine Thrive Peer Support Collaborative. We also sought to categorize key distinctions between these models and elucidate barriers and facilitators to implementation. Subjects and Setting: Seventeen Thrive sites from the United States, United Kingdom, and Australia were represented by a range of healthcare professionals. Measurements and Main Results: Via an iterative process of in-person and email/conference calls, members of the Collaborative defined the key areas on which peer support models could be defined and compared, collected detailed self-reports from all sites, reviewed the information, and identified clusters of models. Barriers and challenges to implementation of peer support models were also documented. Within the Thrive Collaborative, six general models of peer support were identified: community based, psychologist-led outpatient, models-based within ICU follow-up clinics, online, groups based within ICU, and peer mentor models. The most common barriers to implementation were recruitment to groups, personnel input and training, sustainability and funding, risk management, and measuring success. Conclusions: A number of different models of peer support are currently being developed to help patients and families recover and grow in the postcritical care setting.