Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/35562
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShah, Faraaz Ali-
dc.contributor.authorTalisa, Victor B-
dc.contributor.authorChang, Chung-Chou H-
dc.contributor.authorTriantafyllou, Sofia-
dc.contributor.authorTang, Lu-
dc.contributor.authorMayr, Florian B-
dc.contributor.authorHiggins, Alisa M-
dc.contributor.authorPeake, Sandra L-
dc.contributor.authorMouncey, Paul-
dc.contributor.authorHarrison, David A-
dc.contributor.authorDeMerle, Kimberley M-
dc.contributor.authorKennedy, Jason N-
dc.contributor.authorCooper, Gregory F-
dc.contributor.authorBellomo, Rinaldo-
dc.contributor.authorRowan, Kathy-
dc.contributor.authorYealy, Donald M-
dc.contributor.authorSeymour, Christopher W-
dc.contributor.authorAngus, Derek C-
dc.contributor.authorYende, Sachin P-
dc.date2024-
dc.date.accessioned2024-12-02T00:02:50Z-
dc.date.available2024-12-02T00:02:50Z-
dc.date.issued2024-10-23-
dc.identifier.citationCritical Care Medicine 2024-10-23en_US
dc.identifier.issn1530-0293-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/35562-
dc.description.abstractThe optimal approach for resuscitation in septic shock remains unclear despite multiple randomized controlled trials (RCTs). Our objective was to investigate whether previously uncharacterized variation across individuals in their response to resuscitation strategies may contribute to conflicting average treatment effects in prior RCTs. We randomly split study sites from the Australian Resuscitation of Sepsis Evaluation (ARISE) and Protocolized Care for Early Septic Shock (ProCESS) trials into derivation and validation cohorts. We trained machine learning models to predict individual absolute risk differences (iARDs) in 90-day mortality in derivation cohorts and tested for heterogeneity of treatment effect (HTE) in validation cohorts and swapped these cohorts in sensitivity analyses. We fit the best-performing model in a combined dataset to explore roles of patient characteristics and individual components of early goal-directed therapy (EGDT) to determine treatment responses. Eighty-one sites in Australia, New Zealand, Hong Kong, Finland, Republic of Ireland, and the United States. Adult patients presenting to the emergency department with severe sepsis or septic shock. EGDT vs. usual care. A local-linear random forest model performed best in predicting iARDs. In the validation cohort, HTE was confirmed, evidenced by an interaction between iARD prediction and treatment (p < 0.001). When patients were grouped based on predicted iARDs, treatment response increased from the lowest to the highest quintiles (absolute risk difference [95% CI], -8% [-19% to 4%] and relative risk reduction, 1.34 [0.89-2.01] in quintile 1 suggesting harm from EGDT, and 12% [1-23%] and 0.64 [0.42-0.96] in quintile 5 suggesting benefit). Sensitivity analyses showed similar findings. Pre-intervention albumin contributed the most to HTE. Analyses of individual EGDT components were inconclusive. Treatment response to EGDT varied across patients in two multicenter RCTs with large benefits for some patients while others were harmed. Patient characteristics, including albumin, were most important in identifying HTE.en_US
dc.language.isoeng-
dc.titleHeterogeneity in the Effect of Early Goal-Directed Therapy for Septic Shock: A Secondary Analysis of Two Multicenter International Trials.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleCritical Care Medicineen_US
dc.identifier.affiliationDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.;Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA.en_US
dc.identifier.affiliationDivision of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA.;Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.affiliationDepartment of Mathematics and Applied Mathematics, University of Crete, Heraklion, Crete, Greece.en_US
dc.identifier.affiliationVeterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA.;Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australia.en_US
dc.identifier.affiliationIntensive Care National Audit & Research Centre, London, United Kingdom.en_US
dc.identifier.affiliationIntensive Care National Audit & Research Centre, London, United Kingdom.en_US
dc.identifier.affiliationDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centreen_US
dc.identifier.affiliationDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.affiliationIntensive Careen_US
dc.identifier.affiliationIntensive Care National Audit & Research Centre, London, United Kingdom.en_US
dc.identifier.affiliationDepartment of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.affiliationVeterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA.;Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.en_US
dc.identifier.doi10.1097/CCM.0000000000006463en_US
dc.type.contentTexten_US
dc.identifier.pubmedid39440873-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
Appears in Collections:Journal articles
Show simple item record

Page view(s)

18
checked on Jan 8, 2025

Google ScholarTM

Check


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.