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Minimally Invasive Endoscopic Intracerebral Hemorrhage Evacuation
Published on: October 15, 2021
Prognostication after intracerebral hemorrhage: a review
Jens Witsch1, Bob Siegerink2, Christian H Nolte2,3
1Department of Neurology, Weill Cornell Medicine, 525 East 68th Street, New York, NY, 10065, USA. jensjulianwitsch@gmail.com.
Insights
Existing prognostic scores for intracerebral hemorrhage (ICH) lack quality standards. New, validated scores are needed to improve clinical care and research for ICH patients.
Area of Science:
- Neurology
- Clinical Epidemiology
- Medical Informatics
Background:
- Intracerebral hemorrhage (ICH) has a high mortality rate, with approximately 50% of patients dying within one year.
- Accurate prognostication is crucial for guiding patient care, clinical decisions, and risk stratification in ICH.
- Current prognostic scores for ICH are underutilized in clinical practice due to various limitations.
Purpose of the Study:
- To identify existing outcome prediction scores for spontaneous intracerebral hemorrhage (ICH).
- To discuss the shortcomings and validation methodologies of current ICH prognostic scores.
- To propose improvements for developing and validating more effective ICH prediction scores.
Main Methods:
- A literature review was conducted to identify existing ICH outcome prediction models.
- The Essen-ICH score was validated for discrimination, calibration, and net benefit using the Erlangen UKER-ICH-cohort.
- Methodological pitfalls, including withdrawal of care bias and neglected physiological predictors, were analyzed.
Main Results:
- Nineteen prediction scores for ICH were identified, with endpoints including mortality and disability (modified Rankin Scale).
- Only the max-ICH score had complete validation according to the study's criteria.
- The Essen-ICH score demonstrated good discrimination (AUC 0.87) and overall net benefit for predicting unfavorable outcomes.
Conclusions:
- Current prognostic scores for ICH do not meet essential quality standards for clinical use.
- Novel prognostic scores require development with integrated predictors and standardized validation.
- Improved scores are necessary to inform research design and enhance clinical care for ICH patients.
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.
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