The handling oxygenation targets in the intensive care unit (HOT-ICU) trial: Detailed statistical analysis plan
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The handling oxygenation targets in the intensive care unit (HOT-ICU) trial : Detailed statistical analysis plan. / Schjørring, Olav L.; Klitgaard, Thomas L.; Perner, Anders; Wetterslev, Jørn; Lange, Theis; Keus, Frederik; Laake, Jon H.; Morgan, Matthew; Bäcklund, Minna; Siegemund, Martin; Thormar, Katrin M.; Rasmussen, Bodil S.
In: Acta Anaesthesiologica Scandinavica, Vol. 64, No. 6, 2020, p. 847-856.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - The handling oxygenation targets in the intensive care unit (HOT-ICU) trial
T2 - Detailed statistical analysis plan
AU - Schjørring, Olav L.
AU - Klitgaard, Thomas L.
AU - Perner, Anders
AU - Wetterslev, Jørn
AU - Lange, Theis
AU - Keus, Frederik
AU - Laake, Jon H.
AU - Morgan, Matthew
AU - Bäcklund, Minna
AU - Siegemund, Martin
AU - Thormar, Katrin M.
AU - Rasmussen, Bodil S.
PY - 2020
Y1 - 2020
N2 - Background: No solid evidence exists on optimal oxygenation targets in intensive care patients. The handling oxygenation targets in the intensive care unit (HOT-ICU) trial assesses the effects of a targeted arterial oxygen tension of 8 vs 12 kPa on 90-day mortality in acutely admitted adult patients with hypoxaemic respiratory failure. This article describes the detailed statistical analysis plan for the predefined outcomes and supplementary analyses in the HOT-ICU trial. Methods: The trial will include 2928 patients to be able to detect or reject a true 20% relative risk reduction in the primary outcome of 90-day all-cause mortality with an α of 5% and a β of 10%. Analyses of the primary and secondary outcomes will be conducted according to the intention-to-treat principle and adjusted for stratification variables. The primary outcome and dichotomous secondary outcomes will be analysed using a generalised linear model with a log-link and binomial error distribution. For the primary outcome, a 95% confidence interval (CI) not including 1.00 for the risk ratio will be considered statistically significant. Continuous secondary outcomes will be analysed using a generalised linear model or nonparametric test. CIs adjusted for the multiple secondary outcomes not including the null effect will be considered statistically significant. One planned interim analysis has been conducted. Conclusions: The HOT-ICU trial and the pre-planned statistical analyses are designed to minimise bias and produce high quality data on the effects of a lower vs a higher oxygenation target throughout ICU admission in acutely admitted adult patients with hypoxaemic respiratory failure. Registration: ClinicalTrials.gov identifier: NCT03174002, date of registration: June 2, 2017. European clinical trials database, EudraCT number 2017-000632-34.
AB - Background: No solid evidence exists on optimal oxygenation targets in intensive care patients. The handling oxygenation targets in the intensive care unit (HOT-ICU) trial assesses the effects of a targeted arterial oxygen tension of 8 vs 12 kPa on 90-day mortality in acutely admitted adult patients with hypoxaemic respiratory failure. This article describes the detailed statistical analysis plan for the predefined outcomes and supplementary analyses in the HOT-ICU trial. Methods: The trial will include 2928 patients to be able to detect or reject a true 20% relative risk reduction in the primary outcome of 90-day all-cause mortality with an α of 5% and a β of 10%. Analyses of the primary and secondary outcomes will be conducted according to the intention-to-treat principle and adjusted for stratification variables. The primary outcome and dichotomous secondary outcomes will be analysed using a generalised linear model with a log-link and binomial error distribution. For the primary outcome, a 95% confidence interval (CI) not including 1.00 for the risk ratio will be considered statistically significant. Continuous secondary outcomes will be analysed using a generalised linear model or nonparametric test. CIs adjusted for the multiple secondary outcomes not including the null effect will be considered statistically significant. One planned interim analysis has been conducted. Conclusions: The HOT-ICU trial and the pre-planned statistical analyses are designed to minimise bias and produce high quality data on the effects of a lower vs a higher oxygenation target throughout ICU admission in acutely admitted adult patients with hypoxaemic respiratory failure. Registration: ClinicalTrials.gov identifier: NCT03174002, date of registration: June 2, 2017. European clinical trials database, EudraCT number 2017-000632-34.
KW - critical illness
KW - intensive care units
KW - oxygen inhalation therapy
KW - pragmatic clinical trial
KW - randomised controlled trial
KW - respiratory insufficiency
KW - statistics
U2 - 10.1111/aas.13569
DO - 10.1111/aas.13569
M3 - Journal article
C2 - 32068884
AN - SCOPUS:85082314024
VL - 64
SP - 847
EP - 856
JO - Acta Anaesthesiologica Scandinavica
JF - Acta Anaesthesiologica Scandinavica
SN - 0001-5172
IS - 6
ER -
ID: 239624247