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Erschienen in: Critical Care 1/2023

Open Access 01.12.2023 | Correspondence

Authors’ reply to the comment from Benavides-Zora et al.

verfasst von: Yuki Kotani, Alessandro Pruna, Todd C. Lee, Dominik Roth, Giovanni Landoni

Erschienen in: Critical Care | Ausgabe 1/2023

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Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s13054-023-04547-x.
This comment refers to the article available online at https://​doi.​org/​10.​1186/​s13054-023-04431-8.
This reply refers to the comment available online at https://​doi.​org/​10.​1186/​s13054-023-04489-4.

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Abkürzungen
CI
Confidence interval
FDA
Food and Drug Administration
ICU
Intensive care unit
mRCT
Multicenter randomized controlled trials
RCT
Randomized controlled trial
RR
Risk ratio
With the goal of including all available randomized controlled trials (RCTs) on propofol, we meta-analyzed 252 trials reporting mortality at 18 different time-points and pooled data at the longest follow-up available as previously validated [1]. Even if our analysis would violate the proportional hazards assumption, this would only lead to an underestimation of pooled effect size, further strengthening the robustness of our findings [2]. Sensitivity analyses on the five most frequently reported time-points arrived at a similar magnitude and direction as the primary analysis. Interestingly, further mRCT evidence (not included in our meta-analysis because of inclusion criteria) confirms a detrimental effect of propofol on survival persisting up to one year [3].
We adopted an intention-to-treat approach when extracting mortality data to prevent exaggeration of treatment effects that can occur in per-protocol analyses [4]. In the cardiovascular setting, including Likhvantsev et al. study using the evaluable patients’ data (not the correctly extracted intention-to-treat data), the impact remains statistically significant (RR, 1.36; 95% CI, 1.06–1.76; Additional file 1: Table S1).
We acknowledge clinical heterogeneity across different subgroups. However, our subgroup analyses consistently showed results similar to our main analysis in magnitude and direction. The debate “fixed versus random-effects models” goes beyond the scope of this letter and was addressed in another reply. However, when repeating the analysis using random-effects model and trim-and-fill approach, results remained consistent with the main analysis (Additional file 1: Table 1).
The composition of intensive care unit (ICU) and perioperative RCTs in our analysis was similar to Roth et al. in which 16% of included studies were set in medical ICUs [1]. Although our meta-analysis also included perioperative studies, more than 50% of the deaths occurred in ICU studies.
The ICU subgroup also had > 10% relative mortality increase (15% vs. 13%) with Bayesian approach indicating 75.7% probability of harm. Since the outcome is death, it is maybe cavalier to dismiss such probability as “no difference,” especially given a pediatric RCT suggested harm leading to a FDA warning [5] and the manufacturer’s promise for a second RCT which was never conducted. With millions of patients exposed, and the potential for increased mortality, we would disagree with the suggestion this is “spin.”
Considering the availability of other sedation strategies (e.g., alternative hypnotic agents, sedation rotation, dose minimization), we believe our findings warrant careful consideration. Our study aims to raise awareness about potential propofol-associated risks and support the kind of pragmatic mRCTs that clinicians need and patients deserve.

Acknowledgements

Not applicable.

Declarations

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Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Anhänge
Literatur
2.
Zurück zum Zitat Schemper M. Cox analysis of survival data with non-proportional hazard functions. J R Stat Soc Ser D (The Statistician). 1992;41:455–65. Schemper M. Cox analysis of survival data with non-proportional hazard functions. J R Stat Soc Ser D (The Statistician). 1992;41:455–65.
Metadaten
Titel
Authors’ reply to the comment from Benavides-Zora et al.
verfasst von
Yuki Kotani
Alessandro Pruna
Todd C. Lee
Dominik Roth
Giovanni Landoni
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
Critical Care / Ausgabe 1/2023
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-023-04547-x

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