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Effects of IV fluid restriction according to site-specific intensity of standard fluid treatment-protocol
P. Sivapalan, BS. Kaas-Hansen, TS. Meyhoff, PB. Hjortrup, MN. Kjær, JH. Laake, M. Cronhjort, SM. Jakob, M. Cecconi, M. Nalos, M. Ostermann, MLNG. Malbrain, MH. Møller, A. Perner, A. Granholm
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
Grantová podpora
NNF17OC0028608
Novo Nordisk Fonden
Læge Sofus Carl Emil Friis og Hustru Olga Doris Friis' legat
Rigshospitalet
Grosserer Jakob Ehrenreich og Hustru Grete Ehrenreichs Fond
PubMed
38576165
DOI
10.1111/aas.14423
Knihovny.cz E-zdroje
- MeSH
- Bayesova věta MeSH
- lidé MeSH
- péče o pacienty v kritickém stavu metody MeSH
- septický šok * terapie MeSH
- strojové učení MeSH
- tekutinová terapie * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Variation in usual practice in fluid trials assessing lower versus higher volumes may affect overall comparisons. To address this, we will evaluate the effects of heterogeneity in treatment intensity in the Conservative versus Liberal Approach to Fluid Therapy of Septic Shock in Intensive Care trial. This will reflect the effects of differences in site-specific intensities of standard fluid treatment due to local practice preferences while considering participant characteristics. METHODS: We will assess the effects of heterogeneity in treatment intensity across one primary (all-cause mortality) and three secondary outcomes (serious adverse events or reactions, days alive without life support and days alive out of hospital) after 90 days. We will classify sites based on the site-specific intensity of standard fluid treatment, defined as the mean differences in observed versus predicted intravenous fluid volumes in the first 24 h in the standard-fluid group while accounting for differences in participant characteristics. Predictions will be made using a machine learning model including 22 baseline predictors using the extreme gradient boosting algorithm. Subsequently, sites will be grouped into fluid treatment intensity subgroups containing at least 100 participants each. Subgroups differences will be assessed using hierarchical Bayesian regression models with weakly informative priors. We will present the full posterior distributions of relative (risk ratios and ratios of means) and absolute differences (risk differences and mean differences) in each subgroup. DISCUSSION: This study will provide data on the effects of heterogeneity in treatment intensity while accounting for patient characteristics in critically ill adult patients with septic shock. REGISTRATIONS: The European Clinical Trials Database (EudraCT): 2018-000404-42, ClinicalTrials. gov: NCT03668236.
1st Department of Anaesthesiology and Intensive Therapy Medical University of Lublin Lublin Poland
Biomedical Sciences Department Humanitas University Pieve Emanuele Italy
Collaboration for Research in Intensive Care Copenhagen Denmark
Department of Anaesthesia and Intensive Care IRCCS Humanitas Research Hospital Milan Italy
Department of Anaesthesia and Intensive Care Lillebælt Hospital Kolding Denmark
Department of Clinical Sciences Danderyd Hospital Karolinska Institutet Stockholm Sweden
Department of Intensive Care Copenhagen University Hospital Rigshospitalet Copenhagen Denmark
Department of Intensive Care Guy's and St Thomas' Hospital London UK
Department of Public Health Section of Biostatistics University of Copenhagen Copenhagen Denmark
Citace poskytuje Crossref.org
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