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      Continuous renal replacement therapy versus intermittent hemodialysis as first modality for renal replacement therapy in severe acute kidney injury: a secondary analysis of AKIKI and IDEAL-ICU studies

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          Abstract

          Background

          Intermittent hemodialysis (IHD) and continuous renal replacement therapy (CRRT) are the two main RRT modalities in patients with severe acute kidney injury (AKI). Meta-analyses conducted more than 10 years ago did not show survival difference between these two modalities. As the quality of RRT delivery has improved since then, we aimed to reassess whether the choice of IHD or CRRT as first modality affects survival of patients with severe AKI.

          Methods

          This is a secondary analysis of two multicenter randomized controlled trials (AKIKI and IDEAL-ICU) that compared an early RRT initiation strategy with a delayed one. We included patients allocated to the early strategy in order to emulate a trial where patients would have been randomized to receive either IHD or CRRT within twelve hours after the documentation of severe AKI. We determined each patient’s modality group as the first RRT modality they received. The primary outcome was 60-day overall survival. We used two propensity score methods to balance the differences in baseline characteristics between groups and the primary analysis relied on inverse probability of treatment weighting.

          Results

          A total of 543 patients were included. Continuous RRT was the first modality in 269 patients and IHD in 274. Patients receiving CRRT had higher cardiovascular and total-SOFA scores. Inverse probability weighting allowed to adequately balance groups on all predefined confounders. The weighted Kaplan–Meier death rate at day 60 was 54·4% in the CRRT group and 46·5% in the IHD group (weighted HR 1·26, 95% CI 1·01–1·60). In a complementary analysis of less severely ill patients (SOFA score: 3–10), receiving IHD was associated with better day 60 survival compared to CRRT (weighted HR 1.82, 95% CI 1·01–3·28; p < 0.01). We found no evidence of a survival difference between the two RRT modalities in more severe patients.

          Conclusion

          Compared to IHD, CRRT as first modality seemed to convey no benefit in terms of survival or of kidney recovery and might even have been associated with less favorable outcome in patients with lesser severity of disease. A prospective randomized non-inferiority trial should be implemented to solve the persistent conundrum of the optimal RRT technique.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13054-022-03955-9.

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          Most cited references30

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          Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

          The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates. Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated subjects with similar values of the propensity score are formed. Inferences about treatment effect made using propensity-score matching are valid only if, in the matched sample, treated and untreated subjects have similar distributions of measured baseline covariates. In this paper we discuss the following methods for assessing whether the propensity score model has been correctly specified: comparing means and prevalences of baseline characteristics using standardized differences; ratios comparing the variance of continuous covariates between treated and untreated subjects; comparison of higher order moments and interactions; five-number summaries; and graphical methods such as quantile–quantile plots, side-by-side boxplots, and non-parametric density plots for comparing the distribution of baseline covariates between treatment groups. We describe methods to determine the sampling distribution of the standardized difference when the true standardized difference is equal to zero, thereby allowing one to determine the range of standardized differences that are plausible with the propensity score model having been correctly specified. We highlight the limitations of some previously used methods for assessing the adequacy of the specification of the propensity-score model. In particular, methods based on comparing the distribution of the estimated propensity score between treated and untreated subjects are uninformative. Copyright © 2009 John Wiley & Sons, Ltd.
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            Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

            The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment is independent of measured baseline covariates. Inverse probability of treatment weighting (IPTW) using the propensity score allows one to obtain unbiased estimates of average treatment effects. However, these estimates are only valid if there are no residual systematic differences in observed baseline characteristics between treated and control subjects in the sample weighted by the estimated inverse probability of treatment. We report on a systematic literature review, in which we found that the use of IPTW has increased rapidly in recent years, but that in the most recent year, a majority of studies did not formally examine whether weighting balanced measured covariates between treatment groups. We then proceed to describe a suite of quantitative and qualitative methods that allow one to assess whether measured baseline covariates are balanced between treatment groups in the weighted sample. The quantitative methods use the weighted standardized difference to compare means, prevalences, higher‐order moments, and interactions. The qualitative methods employ graphical methods to compare the distribution of continuous baseline covariates between treated and control subjects in the weighted sample. Finally, we illustrate the application of these methods in an empirical case study. We propose a formal set of balance diagnostics that contribute towards an evolving concept of ‘best practice’ when using IPTW to estimate causal treatment effects using observational data. © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.
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              Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study.

              Current reports on acute kidney injury (AKI) in the intensive care unit (ICU) show wide variation in occurrence rate and are limited by study biases such as use of incomplete AKI definition, selected cohorts, or retrospective design. Our aim was to prospectively investigate the occurrence and outcomes of AKI in ICU patients.
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                Author and article information

                Contributors
                stephanegaudry@gmail.com
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                4 April 2022
                4 April 2022
                2022
                : 26
                : 93
                Affiliations
                [1 ]GRID grid.413780.9, ISNI 0000 0000 8715 2621, Département de Réanimation Médico-Chirurgicale, , APHP Hôpital Avicenne, ; Bobigny, France
                [2 ]GRID grid.462844.8, ISNI 0000 0001 2308 1657, Health Care Simulation Center, UFR SMBH, , Université Sorbonne Paris Nord, ; Bobigny, France
                [3 ]GRID grid.462844.8, ISNI 0000 0001 2308 1657, Present Address: Common and Rare Kidney Diseases, INSERM, UMR-S 1155, Hôpital Tenon, , Sorbonne Université, ; 4 rue de la Chine, 75020 Paris, France
                [4 ]Investigation Network Initiative–Cardiovascular and Renal Clinical Trialists, Bobigny, France
                [5 ]Centre of Research in Epidemiology and Statistics (CRESS), Université de Paris, French Institute of Health and Medical Research (INSERM), National Institute of Agricultural Research (INRA), Paris, France
                [6 ]GRID grid.411165.6, ISNI 0000 0004 0593 8241, Hôpital Caremeau, ; Nimes, France
                [7 ]Réanimation Polyvalente, CHR départementale La Roche Sur Yon, La Roche sur Yon, France
                [8 ]CHU Pointe-À-Pitre/Abymes, Pointe-a-Pitre, France
                [9 ]Réanimation Et USC, GH Carnelle Portes de L’Oise, 95260 Beaumont sur Oise, France
                [10 ]GRID grid.42399.35, ISNI 0000 0004 0593 7118, CHU de Bordeaux, Service de Réanimation Médicale, ; 33000 Bordeaux, France
                [11 ]Réanimation Polyvalente, CH Sud Francilien, Corbeil Essones, France
                [12 ]Réanimation Polyvalente, Centre Hospitalier d’Avignon, Avignon, France
                [13 ]GRID grid.411430.3, ISNI 0000 0001 0288 2594, Anesthésie Réanimation Médicale et Chirurgicale, , CH Lyon Sud, ; Pierre Benite, France
                [14 ]GRID grid.492689.8, ISNI 0000 0004 0640 1948, Réanimation Polyvalente, , Hôpital Nord Franche-Comte CH Belfort, ; Belfort, France
                [15 ]Réanimation Polyvalente, CH de Dieppe, Dieppe, France
                [16 ]GRID grid.440373.7, ISNI 0000 0004 0639 3407, Médecine Intensive Réanimation, , CH Bethune Beuvry – Germont et Gauthier, ; Bethune, France
                [17 ]GRID grid.31151.37, Department of Intensive Care, , François Mitterrand University Hospital, ; Dijon, France
                [18 ]GRID grid.5613.1, ISNI 0000 0001 2298 9313, Lipness Team, INSERM Research Center LNC-UMR1231 and LabExLipSTIC, , University of Burgundy, ; Dijon, France
                [19 ]GRID grid.5613.1, ISNI 0000 0001 2298 9313, INSERM CIC 1432, Clinical Epidemiology, , University of Burgundy, ; Dijon, France
                [20 ]GRID grid.508487.6, ISNI 0000 0004 7885 7602, Médecine Intensive-Réanimation, APHP, Hôpital Louis Mourier, , Université de Paris, ; Colombes, France
                Article
                3955
                10.1186/s13054-022-03955-9
                8981658
                35379300
                fa4b263a-3a7e-4c1b-9014-87451a7f4b23
                © The Author(s) 2022

                Open AccessThis 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.

                History
                : 10 February 2022
                : 3 March 2022
                Funding
                Funded by: Ministry of health, France
                Award ID: AOM12456
                Award ID: A00519-34
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Emergency medicine & Trauma
                renal replacement therapy,acute kidney injury,critical care
                Emergency medicine & Trauma
                renal replacement therapy, acute kidney injury, critical care

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