Effects of IV fluid restriction according to site-specific intensity of standard fluid treatment-protocol
© 2024 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Acta anaesthesiologica Scandinavica - (2024) vom: 04. Apr. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sivapalan, Praleene [VerfasserIn] |
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| Links: |
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| Themen: |
Critical care |
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| Anmerkungen: |
Date Revised 05.04.2024 published: Print-Electronic ClinicalTrials.gov: NCT03668236 Citation Status Publisher |
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| doi: |
10.1111/aas.14423 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370655842 |
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| 520 | |a © 2024 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a REGISTRATIONS: The European Clinical Trials Database (EudraCT): 2018-000404-42, ClinicalTrials. gov: NCT03668236 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a fluid therapy | |
| 650 | 4 | |a heterogeneity in treatment intensity | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a prediction models | |
| 650 | 4 | |a septic shock | |
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| 700 | 1 | |a Meyhoff, Tine Sylvest |e verfasserin |4 aut | |
| 700 | 1 | |a Hjortrup, Peter Buhl |e verfasserin |4 aut | |
| 700 | 1 | |a Kjær, Maj-Brit N |e verfasserin |4 aut | |
| 700 | 1 | |a Laake, Jon Henrik |e verfasserin |4 aut | |
| 700 | 1 | |a Cronhjort, Maria |e verfasserin |4 aut | |
| 700 | 1 | |a Jakob, Stephan M |e verfasserin |4 aut | |
| 700 | 1 | |a Cecconi, Maurizio |e verfasserin |4 aut | |
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| 700 | 1 | |a Perner, Anders |e verfasserin |4 aut | |
| 700 | 1 | |a Granholm, Anders |e verfasserin |4 aut | |
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