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Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study

OBJECTIVES: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possible due to impaired consciousness. To avoid a diagnostic delay, we previously developed a prediction model, based on single-center data from 212 patients (development cohort), to predict ICU-AW at 2 da...

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Autores principales: Witteveen, Esther, Wieske, Luuk, Sommers, Juultje, Spijkstra, Jan-Jaap, de Waard, Monique C., Endeman, Henrik, Rijkenberg, Saskia, de Ruijter, Wouter, Sleeswijk, Mengalvio, Verhamme, Camiel, Schultz, Marcus J., van Schaik, Ivo N., Horn, Janneke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222288/
https://www.ncbi.nlm.nih.gov/pubmed/29716425
http://dx.doi.org/10.1177/0885066618771001
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author Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan-Jaap
de Waard, Monique C.
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J.
van Schaik, Ivo N.
Horn, Janneke
author_facet Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan-Jaap
de Waard, Monique C.
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J.
van Schaik, Ivo N.
Horn, Janneke
author_sort Witteveen, Esther
collection PubMed
description OBJECTIVES: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possible due to impaired consciousness. To avoid a diagnostic delay, we previously developed a prediction model, based on single-center data from 212 patients (development cohort), to predict ICU-AW at 2 days after ICU admission. The objective of this study was to investigate the external validity of the original prediction model in a new, multicenter cohort and, if necessary, to update the model. METHODS: Newly admitted ICU patients who were mechanically ventilated at 48 hours after ICU admission were included. Predictors were prospectively recorded, and the outcome ICU-AW was defined by an average Medical Research Council score <4. In the validation cohort, consisting of 349 patients, we analyzed performance of the original prediction model by assessment of calibration and discrimination. Additionally, we updated the model in this validation cohort. Finally, we evaluated a new prediction model based on all patients of the development and validation cohort. RESULTS: Of 349 analyzed patients in the validation cohort, 190 (54%) developed ICU-AW. Both model calibration and discrimination of the original model were poor in the validation cohort. The area under the receiver operating characteristics curve (AUC-ROC) was 0.60 (95% confidence interval [CI]: 0.54-0.66). Model updating methods improved calibration but not discrimination. The new prediction model, based on all patients of the development and validation cohort (total of 536 patients) had a fair discrimination, AUC-ROC: 0.70 (95% CI: 0.66-0.75). CONCLUSIONS: The previously developed prediction model for ICU-AW showed poor performance in a new independent multicenter validation cohort. Model updating methods improved calibration but not discrimination. The newly derived prediction model showed fair discrimination. This indicates that early prediction of ICU-AW is still challenging and needs further attention.
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spelling pubmed-72222882020-06-02 Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study Witteveen, Esther Wieske, Luuk Sommers, Juultje Spijkstra, Jan-Jaap de Waard, Monique C. Endeman, Henrik Rijkenberg, Saskia de Ruijter, Wouter Sleeswijk, Mengalvio Verhamme, Camiel Schultz, Marcus J. van Schaik, Ivo N. Horn, Janneke J Intensive Care Med Original Research OBJECTIVES: An early diagnosis of intensive care unit–acquired weakness (ICU-AW) is often not possible due to impaired consciousness. To avoid a diagnostic delay, we previously developed a prediction model, based on single-center data from 212 patients (development cohort), to predict ICU-AW at 2 days after ICU admission. The objective of this study was to investigate the external validity of the original prediction model in a new, multicenter cohort and, if necessary, to update the model. METHODS: Newly admitted ICU patients who were mechanically ventilated at 48 hours after ICU admission were included. Predictors were prospectively recorded, and the outcome ICU-AW was defined by an average Medical Research Council score <4. In the validation cohort, consisting of 349 patients, we analyzed performance of the original prediction model by assessment of calibration and discrimination. Additionally, we updated the model in this validation cohort. Finally, we evaluated a new prediction model based on all patients of the development and validation cohort. RESULTS: Of 349 analyzed patients in the validation cohort, 190 (54%) developed ICU-AW. Both model calibration and discrimination of the original model were poor in the validation cohort. The area under the receiver operating characteristics curve (AUC-ROC) was 0.60 (95% confidence interval [CI]: 0.54-0.66). Model updating methods improved calibration but not discrimination. The new prediction model, based on all patients of the development and validation cohort (total of 536 patients) had a fair discrimination, AUC-ROC: 0.70 (95% CI: 0.66-0.75). CONCLUSIONS: The previously developed prediction model for ICU-AW showed poor performance in a new independent multicenter validation cohort. Model updating methods improved calibration but not discrimination. The newly derived prediction model showed fair discrimination. This indicates that early prediction of ICU-AW is still challenging and needs further attention. SAGE Publications 2018-05-01 2020-06 /pmc/articles/PMC7222288/ /pubmed/29716425 http://dx.doi.org/10.1177/0885066618771001 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Witteveen, Esther
Wieske, Luuk
Sommers, Juultje
Spijkstra, Jan-Jaap
de Waard, Monique C.
Endeman, Henrik
Rijkenberg, Saskia
de Ruijter, Wouter
Sleeswijk, Mengalvio
Verhamme, Camiel
Schultz, Marcus J.
van Schaik, Ivo N.
Horn, Janneke
Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title_full Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title_fullStr Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title_full_unstemmed Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title_short Early Prediction of Intensive Care Unit–Acquired Weakness: A Multicenter External Validation Study
title_sort early prediction of intensive care unit–acquired weakness: a multicenter external validation study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222288/
https://www.ncbi.nlm.nih.gov/pubmed/29716425
http://dx.doi.org/10.1177/0885066618771001
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