Evidence map›Paper›PMID 41659843›Full record

ArticleNeurosurgery practice2026

Modeling the Predictive Performance of the ICH Score: Stepwise Selection and Logistic Modeling of Mortality, Functional Outcomes, Placement Destination, and Length of Stay.

Hussain Alkhars, Sean M Lee, Brij Kathuria, Khashayar Mozaffari, Peter Harris, Max Fleisher, Michael Rosner

Abstract read
In one paragraph

Article in Neurosurgery practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hussain AlkharsDepartment of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA.ORCID https://orcid.org/0000-0002-1267-2360
Sean M LeeOffice of Clinical Statisticians, The George Washington University, Washington, District of Columbia, USA.
Brij KathuriaDepartment of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA.
Khashayar MozaffariDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas, USA.
Peter HarrisDepartment of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA.ORCID https://orcid.org/0000-0003-4147-132X
Max FleisherDepartment of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA.
Michael RosnerDepartment of Neurological Surgery, The George Washington University Hospital, Washington, District of Columbia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe intracerebral hemorrhage (ICH) score is widely used to predict mortality in ICH, but its ability to predict functional outcomes, length of stay (LOS), and discharge placement remains unclear. This study evaluates its predictive performance across these clinical outcomes.

methodsThis retrospective, single-center study included 273 patients admitted with ICH between 2018 and 2023. Logistic regression models assessed the ICH score's predictive performance for in-hospital mortality, modified Rankin Scale (mRS) at discharge, intensive care unit and hospital LOS, and discharge placement. Performance metrics, including accuracy, sensitivity, and specificity, were assessed using leave-one-out cross-validation. Stepwise selection was used to identify the predictive value for the individual ICH score components.

resultsThe ICH score accurately predicted in-hospital mortality (accuracy: 0.89, sensitivity: 0.80, specificity: 0.91). It showed moderate performance for mRS at discharge (accuracy: 0.67, Kappa: 0.49), particularly for mortality (mRS 6, sensitivity: 0.84, specificity: 0.91), but was less reliable for predicting functional independence (mRS 0-3, sensitivity: 0.59, specificity: 0.85) and severe disability (mRS 4-5, sensitivity: 0.66, specificity: 0.70). The score poorly predicted intensive care unit LOS (accuracy: 0.70, Kappa: 0.39) and hospital LOS (accuracy: 0.53, Kappa: 0.04). While it identified favorable (home/acute rehab) and poor (hospice/death) discharge outcomes, it failed to predict intermediate placement (subacute rehab/long-term care). Stepwise selection consistently excluded infratentorial location, suggesting limited predictive value.

conclusionThe ICH score reliably predicts in-hospital mortality but has limited accuracy for functional outcomes, LOS, and discharge placement. While useful for risk stratification, its role in individualized prognostication is limited. Future studies incorporating additional clinical and socioeconomic factors may improve predictive accuracy.

Indexed as

Discharge placementICH scoreIntracerebral hemorrhageLength of stayModified Rankin scaleMortalityPrognostication

Identifiers

PMID41659843
PMCPMC12875701

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.