Cargando…
Identification of an optimal threshold to define oliguria in critically ill patients: an observational study
BACKGROUND: The relevance of current consensus threshold to define oliguria has been challenged by small observational studies. We aimed to determine the optimal threshold to define oliguria in critically-ill patients. METHODS: Cohort study including adult patients admitted within a multi-disciplina...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228087/ https://www.ncbi.nlm.nih.gov/pubmed/37254158 http://dx.doi.org/10.1186/s13054-023-04505-7 |
_version_ | 1785050897552769024 |
---|---|
author | Bianchi, Nathan Axel Altarelli, Marco Monard, Céline Kelevina, Tatiana Chaouch, Aziz Schneider, Antoine Guillaume |
author_facet | Bianchi, Nathan Axel Altarelli, Marco Monard, Céline Kelevina, Tatiana Chaouch, Aziz Schneider, Antoine Guillaume |
author_sort | Bianchi, Nathan Axel |
collection | PubMed |
description | BACKGROUND: The relevance of current consensus threshold to define oliguria has been challenged by small observational studies. We aimed to determine the optimal threshold to define oliguria in critically-ill patients. METHODS: Cohort study including adult patients admitted within a multi-disciplinary intensive care unit between January 1st 2010 and June 15th 2020. Patients on chronic dialysis or who declined consent were excluded. We extracted hourly urinary output (UO) measurements along with patient’s characteristics from electronic medical records and 90-day mortality from the Swiss national death registry. We randomly split our data into a training (80%) and a validation (20%) set. In the training set, we developed multivariable models to assess the relationship between 90-day mortality and the minimum average UO calculated over time windows of 3, 6, 12 and 24 h. Optimal thresholds were determined by visually identifying cut-off values for the minimum average UO below which predicted mortality increased substantially. We tested models’ discrimination and calibration on the entire validation set as well as on a subset of patients with oliguria according to proposed thresholds. RESULTS: Among the 15,500 patients included in this analysis (training set: 12,440, validation set: 3110), 73.0% (95% CI [72.3–73.8]) presented an episode of oliguria as defined by consensus criteria (UO < 0.5 ml/kg/h for 6 h). Our models had excellent (AUC > 85% for all time windows) discrimination and calibration. The relationship between minimum average UO and predicted 90-day mortality was nonlinear with an inflexion point at 0.2 ml/kg/h for 3 and 6 h windows and 0.3 ml/kg/h for 12 and 24 h windows. Considering a threshold of < 0.2 ml/kg/h over 6 h, the proportion of patients with an episode of oliguria decreased substantially to 24.7% (95% CI [24.0–25.4]). Contrary to consensus definition, this threshold identified a population with a higher predicted 90-day mortality. CONCLUSIONS: The widely used cut-off for oliguria of 0.5 ml/kg/h over 6 h may be too conservative. A cut-off of 0.2 ml/kg/h over 3 or 6 h is supported by the data and should be considered in further definitions of oliguria. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04505-7. |
format | Online Article Text |
id | pubmed-10228087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102280872023-05-31 Identification of an optimal threshold to define oliguria in critically ill patients: an observational study Bianchi, Nathan Axel Altarelli, Marco Monard, Céline Kelevina, Tatiana Chaouch, Aziz Schneider, Antoine Guillaume Crit Care Research BACKGROUND: The relevance of current consensus threshold to define oliguria has been challenged by small observational studies. We aimed to determine the optimal threshold to define oliguria in critically-ill patients. METHODS: Cohort study including adult patients admitted within a multi-disciplinary intensive care unit between January 1st 2010 and June 15th 2020. Patients on chronic dialysis or who declined consent were excluded. We extracted hourly urinary output (UO) measurements along with patient’s characteristics from electronic medical records and 90-day mortality from the Swiss national death registry. We randomly split our data into a training (80%) and a validation (20%) set. In the training set, we developed multivariable models to assess the relationship between 90-day mortality and the minimum average UO calculated over time windows of 3, 6, 12 and 24 h. Optimal thresholds were determined by visually identifying cut-off values for the minimum average UO below which predicted mortality increased substantially. We tested models’ discrimination and calibration on the entire validation set as well as on a subset of patients with oliguria according to proposed thresholds. RESULTS: Among the 15,500 patients included in this analysis (training set: 12,440, validation set: 3110), 73.0% (95% CI [72.3–73.8]) presented an episode of oliguria as defined by consensus criteria (UO < 0.5 ml/kg/h for 6 h). Our models had excellent (AUC > 85% for all time windows) discrimination and calibration. The relationship between minimum average UO and predicted 90-day mortality was nonlinear with an inflexion point at 0.2 ml/kg/h for 3 and 6 h windows and 0.3 ml/kg/h for 12 and 24 h windows. Considering a threshold of < 0.2 ml/kg/h over 6 h, the proportion of patients with an episode of oliguria decreased substantially to 24.7% (95% CI [24.0–25.4]). Contrary to consensus definition, this threshold identified a population with a higher predicted 90-day mortality. CONCLUSIONS: The widely used cut-off for oliguria of 0.5 ml/kg/h over 6 h may be too conservative. A cut-off of 0.2 ml/kg/h over 3 or 6 h is supported by the data and should be considered in further definitions of oliguria. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-023-04505-7. BioMed Central 2023-05-30 /pmc/articles/PMC10228087/ /pubmed/37254158 http://dx.doi.org/10.1186/s13054-023-04505-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (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 Bianchi, Nathan Axel Altarelli, Marco Monard, Céline Kelevina, Tatiana Chaouch, Aziz Schneider, Antoine Guillaume Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title | Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title_full | Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title_fullStr | Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title_full_unstemmed | Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title_short | Identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
title_sort | identification of an optimal threshold to define oliguria in critically ill patients: an observational study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228087/ https://www.ncbi.nlm.nih.gov/pubmed/37254158 http://dx.doi.org/10.1186/s13054-023-04505-7 |
work_keys_str_mv | AT bianchinathanaxel identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy AT altarellimarco identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy AT monardceline identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy AT kelevinatatiana identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy AT chaouchaziz identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy AT schneiderantoineguillaume identificationofanoptimalthresholdtodefineoliguriaincriticallyillpatientsanobservationalstudy |