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Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes

BACKGROUND AND OBJECTIVES: Defining the optimal moment to start renal replacement therapy (RRT) in acute kidney injury (AKI) remains challenging. Multiple randomized controlled trials (RCTs) addressed this question whilst using absolute criteria such as pH or serum potassium. However, there is a nee...

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Autores principales: Morzywołek, Paweł, Steen, Johan, Vansteelandt, Stijn, Decruyenaere, Johan, Sterckx, Sigrid, Van Biesen, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706864/
https://www.ncbi.nlm.nih.gov/pubmed/36443861
http://dx.doi.org/10.1186/s13054-022-04252-1
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author Morzywołek, Paweł
Steen, Johan
Vansteelandt, Stijn
Decruyenaere, Johan
Sterckx, Sigrid
Van Biesen, Wim
author_facet Morzywołek, Paweł
Steen, Johan
Vansteelandt, Stijn
Decruyenaere, Johan
Sterckx, Sigrid
Van Biesen, Wim
author_sort Morzywołek, Paweł
collection PubMed
description BACKGROUND AND OBJECTIVES: Defining the optimal moment to start renal replacement therapy (RRT) in acute kidney injury (AKI) remains challenging. Multiple randomized controlled trials (RCTs) addressed this question whilst using absolute criteria such as pH or serum potassium. However, there is a need for identification of the most optimal cut-offs of these criteria. We conducted a causal analysis on routinely collected data (RCD) to compare the impact of different pre-specified dynamic treatment regimes (DTRs) for RRT initiation based on time-updated levels of potassium, pH, and urinary output on 30-day ICU mortality. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Patients in the ICU of Ghent University Hospital were included at the time they met KDIGO-AKI-stage ≥ 2. We applied inverse-probability-of-censoring-weighted Aalen–Johansen estimators to evaluate 30-day survival under 81 DTRs prescribing RRT initiation under different thresholds of potassium, pH, or persisting oliguria. RESULTS: Out of 13,403 eligible patients (60.8 ± 16.8 years, SOFA 7.0 ± 4.1), 5622 (63.4 ± 15.3 years, SOFA 8.2 ± 4.2) met KDIGO-AKI-stage ≥ 2. The DTR that delayed RRT until potassium ≥ 7 mmol/l, persisting oliguria for 24–36 h, and/or pH < 7.0 (non-oliguric) or < 7.2 (oliguric) despite maximal conservative treatment resulted in a reduced 30-day ICU mortality (from 12.7% [95% CI 11.9–13.6%] under current standard of care to 10.5% [95% CI 9.5–11.7%]; risk difference 2.2% [95% CI 1.3–3.8%]) with no increase in patients starting RRT (from 471 [95% CI 430–511] to 475 [95% CI 342–572]). The fivefold cross-validation benchmark for the optimal DTR resulted in 30-day ICU mortality of 10.7%. CONCLUSIONS: Our causal analysis of RCD to compare RRT initiation at different thresholds of refractory low pH, high potassium, and persisting oliguria identified a DTR that resulted in a decrease in 30-day ICU mortality without increase in number of RRTs. Our results suggest that the current criteria to start RRT as implemented in most RCTs may be suboptimal. However, as our analysis is hypothesis generating, this optimal DTR should ideally be validated in a multicentric RCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04252-1.
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spelling pubmed-97068642022-11-30 Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes Morzywołek, Paweł Steen, Johan Vansteelandt, Stijn Decruyenaere, Johan Sterckx, Sigrid Van Biesen, Wim Crit Care Research BACKGROUND AND OBJECTIVES: Defining the optimal moment to start renal replacement therapy (RRT) in acute kidney injury (AKI) remains challenging. Multiple randomized controlled trials (RCTs) addressed this question whilst using absolute criteria such as pH or serum potassium. However, there is a need for identification of the most optimal cut-offs of these criteria. We conducted a causal analysis on routinely collected data (RCD) to compare the impact of different pre-specified dynamic treatment regimes (DTRs) for RRT initiation based on time-updated levels of potassium, pH, and urinary output on 30-day ICU mortality. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Patients in the ICU of Ghent University Hospital were included at the time they met KDIGO-AKI-stage ≥ 2. We applied inverse-probability-of-censoring-weighted Aalen–Johansen estimators to evaluate 30-day survival under 81 DTRs prescribing RRT initiation under different thresholds of potassium, pH, or persisting oliguria. RESULTS: Out of 13,403 eligible patients (60.8 ± 16.8 years, SOFA 7.0 ± 4.1), 5622 (63.4 ± 15.3 years, SOFA 8.2 ± 4.2) met KDIGO-AKI-stage ≥ 2. The DTR that delayed RRT until potassium ≥ 7 mmol/l, persisting oliguria for 24–36 h, and/or pH < 7.0 (non-oliguric) or < 7.2 (oliguric) despite maximal conservative treatment resulted in a reduced 30-day ICU mortality (from 12.7% [95% CI 11.9–13.6%] under current standard of care to 10.5% [95% CI 9.5–11.7%]; risk difference 2.2% [95% CI 1.3–3.8%]) with no increase in patients starting RRT (from 471 [95% CI 430–511] to 475 [95% CI 342–572]). The fivefold cross-validation benchmark for the optimal DTR resulted in 30-day ICU mortality of 10.7%. CONCLUSIONS: Our causal analysis of RCD to compare RRT initiation at different thresholds of refractory low pH, high potassium, and persisting oliguria identified a DTR that resulted in a decrease in 30-day ICU mortality without increase in number of RRTs. Our results suggest that the current criteria to start RRT as implemented in most RCTs may be suboptimal. However, as our analysis is hypothesis generating, this optimal DTR should ideally be validated in a multicentric RCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04252-1. BioMed Central 2022-11-28 /pmc/articles/PMC9706864/ /pubmed/36443861 http://dx.doi.org/10.1186/s13054-022-04252-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Morzywołek, Paweł
Steen, Johan
Vansteelandt, Stijn
Decruyenaere, Johan
Sterckx, Sigrid
Van Biesen, Wim
Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title_full Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title_fullStr Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title_full_unstemmed Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title_short Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
title_sort timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706864/
https://www.ncbi.nlm.nih.gov/pubmed/36443861
http://dx.doi.org/10.1186/s13054-022-04252-1
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