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Prognostication after intracerebral hemorrhage: a review

BACKGROUND: Approximately half of patients with spontaneous intracerebral hemorrhage (ICH) die within 1 year. Prognostication in this context is of great importance, to guide goals of care discussions, clinical decision-making, and risk stratification. However, available prognostic scores are hardly...

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Autores principales: Witsch, Jens, Siegerink, Bob, Nolte, Christian H., Sprügel, Maximilian, Steiner, Thorsten, Endres, Matthias, Huttner, Hagen B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091769/
https://www.ncbi.nlm.nih.gov/pubmed/33934715
http://dx.doi.org/10.1186/s42466-021-00120-5
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author Witsch, Jens
Siegerink, Bob
Nolte, Christian H.
Sprügel, Maximilian
Steiner, Thorsten
Endres, Matthias
Huttner, Hagen B.
author_facet Witsch, Jens
Siegerink, Bob
Nolte, Christian H.
Sprügel, Maximilian
Steiner, Thorsten
Endres, Matthias
Huttner, Hagen B.
author_sort Witsch, Jens
collection PubMed
description BACKGROUND: Approximately half of patients with spontaneous intracerebral hemorrhage (ICH) die within 1 year. Prognostication in this context is of great importance, to guide goals of care discussions, clinical decision-making, and risk stratification. However, available prognostic scores are hardly used in clinical practice. The purpose of this review article is to identify existing outcome prediction scores for spontaneous intracerebral hemorrhage (ICH) discuss their shortcomings, and to suggest how to create and validate more useful scores. MAIN TEXT: Through a literature review this article identifies existing ICH outcome prediction models. Using the Essen-ICH-score as an example, we demonstrate a complete score validation including discrimination, calibration and net benefit calculations. Score performance is illustrated in the Erlangen UKER-ICH-cohort (NCT03183167). We identified 19 prediction scores, half of which used mortality as endpoint, the remainder used disability, typically the dichotomized modified Rankin score assessed at variable time points after the index ICH. Complete score validation by our criteria was only available for the max-ICH score. Our validation of the Essen-ICH-score regarding prediction of unfavorable outcome showed good discrimination (area under the curve 0.87), fair calibration (calibration intercept 1.0, slope 0.84), and an overall net benefit of using the score as a decision tool. We discuss methodological pitfalls of prediction scores, e.g. the withdrawal of care (WOC) bias, physiological predictor variables that are often neglected by authors of clinical scores, and incomplete score validation. Future scores need to integrate new predictor variables, patient-reported outcome measures, and reduce the WOC bias. Validation needs to be standardized and thorough. Lastly, we discuss the integration of current ICH scoring systems in clinical practice with the awareness of their shortcomings. CONCLUSION: Presently available prognostic scores for ICH do not fulfill essential quality standards. Novel prognostic scores need to be developed to inform the design of research studies and improve clinical care in patients with ICH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42466-021-00120-5.
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spelling pubmed-80917692021-06-01 Prognostication after intracerebral hemorrhage: a review Witsch, Jens Siegerink, Bob Nolte, Christian H. Sprügel, Maximilian Steiner, Thorsten Endres, Matthias Huttner, Hagen B. Neurol Res Pract Review BACKGROUND: Approximately half of patients with spontaneous intracerebral hemorrhage (ICH) die within 1 year. Prognostication in this context is of great importance, to guide goals of care discussions, clinical decision-making, and risk stratification. However, available prognostic scores are hardly used in clinical practice. The purpose of this review article is to identify existing outcome prediction scores for spontaneous intracerebral hemorrhage (ICH) discuss their shortcomings, and to suggest how to create and validate more useful scores. MAIN TEXT: Through a literature review this article identifies existing ICH outcome prediction models. Using the Essen-ICH-score as an example, we demonstrate a complete score validation including discrimination, calibration and net benefit calculations. Score performance is illustrated in the Erlangen UKER-ICH-cohort (NCT03183167). We identified 19 prediction scores, half of which used mortality as endpoint, the remainder used disability, typically the dichotomized modified Rankin score assessed at variable time points after the index ICH. Complete score validation by our criteria was only available for the max-ICH score. Our validation of the Essen-ICH-score regarding prediction of unfavorable outcome showed good discrimination (area under the curve 0.87), fair calibration (calibration intercept 1.0, slope 0.84), and an overall net benefit of using the score as a decision tool. We discuss methodological pitfalls of prediction scores, e.g. the withdrawal of care (WOC) bias, physiological predictor variables that are often neglected by authors of clinical scores, and incomplete score validation. Future scores need to integrate new predictor variables, patient-reported outcome measures, and reduce the WOC bias. Validation needs to be standardized and thorough. Lastly, we discuss the integration of current ICH scoring systems in clinical practice with the awareness of their shortcomings. CONCLUSION: Presently available prognostic scores for ICH do not fulfill essential quality standards. Novel prognostic scores need to be developed to inform the design of research studies and improve clinical care in patients with ICH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42466-021-00120-5. BioMed Central 2021-05-03 /pmc/articles/PMC8091769/ /pubmed/33934715 http://dx.doi.org/10.1186/s42466-021-00120-5 Text en © The Author(s) 2021 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/) .
spellingShingle Review
Witsch, Jens
Siegerink, Bob
Nolte, Christian H.
Sprügel, Maximilian
Steiner, Thorsten
Endres, Matthias
Huttner, Hagen B.
Prognostication after intracerebral hemorrhage: a review
title Prognostication after intracerebral hemorrhage: a review
title_full Prognostication after intracerebral hemorrhage: a review
title_fullStr Prognostication after intracerebral hemorrhage: a review
title_full_unstemmed Prognostication after intracerebral hemorrhage: a review
title_short Prognostication after intracerebral hemorrhage: a review
title_sort prognostication after intracerebral hemorrhage: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091769/
https://www.ncbi.nlm.nih.gov/pubmed/33934715
http://dx.doi.org/10.1186/s42466-021-00120-5
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