Evidence map›Paper›PMID 40600687›Full record

ArticleAnnals of clinical and translational neurology2025

Association of the ICH Score With Withdrawal of Life-Sustaining Treatment Over a 10-Year Period.

Nina Massad, Lili Zhou, Brian Manolovitz, Negar Asdaghi, Hannah Gardener, Hao Ying, Carolina M Gutierrez, Angus Jameson, David Rose, Mohan Kottapally and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Nina MassadDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0009-0004-4818-8337
Lili ZhouDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Brian ManolovitzDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Negar AsdaghiDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Hannah GardenerDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Hao YingDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Carolina M GutierrezDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Angus JamesonDepartment of Emergency Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
David RoseDepartment of Neurology, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.ORCID 0000-0002-9449-6494
Mohan KottapallyDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Amedeo MerendaDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Kristine O'PhelanDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Sebastian KochDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Jose G RomanoDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Tatjana RundekDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Ayham AlkhachroumDepartment of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA.ORCID 0000-0003-0352-5913

Funding

Miami Clinical and Translational Science InstituteUM1TR004556 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Olveen Carrasquillo, ERIN N KOBETZ · 2023 to 2026
$16.0M
NCATS NIH HHS UM1 TR004556
6 · The paper itself

Abstract

objectiveThe intracerebral hemorrhage (ICH) score was developed to enhance provider communication and facilitate early severity assessment. We examined the association of the ICH score with mortality and withdrawal of life-sustaining treatment (WLST) in a large, multicenter stroke registry, and evaluated temporal trends in these associations.

methodsWe identified ICH patients from the Florida Stroke Registry from 2013 to 2022. Outcomes were WLST and in-hospital mortality. ICH scores were grouped as 0-2, 3-4, and 5-6. Importance plots identified key predictors of WLST. Model performance was assessed using AUC-ROC for logistic regression and random forest, adjusted for relevant confounders. Secondary analyses compared outcomes between 2015-2018 and 2019-2022 using stratified univariate logistic regression.

resultsIn total, 12,426 patients were included (mean age 69, 55% male, 56% white). The most predictive factors associated with WLST were ICH score, age, state region, presenting level of consciousness, insurance status, and race (RF AUC = 0.94, LR AUC = 0.82). Mortality was 6.6%, 41.5%, and 66% for ICH score 0-2, 3-4, and 5-6. WLST occurred more frequently in higher ICH score groups (OR 9.35 [95% CI: 8.5-10.3] for scores 3-4; OR 18.64 [95% CI: 15.28-22.74] for scores 5-6). Early WLST (< 48 h) was more common in higher score groups (OR 2.97 [95% CI: 2.48-3.55] for 3-4; OR 9.51 [95% CI: 7.33-12.35] for 5-6).

interpretationHigher ICH scores were strongly associated with mortality and WLST, including early withdrawal decisions. These associations remained largely consistent over time. These observational findings underscore the need for continued attention to how prognostic scores may influence WLST decisions.

Indexed as

Cerebral HemorrhageHospital MortalityLife Support CareRegistriesSeverity of Illness IndexStrokeWithholding TreatmentAgedAged, 80 and overFemaleFloridaHumansMaleMiddle Agedintracerebral hemorrhageprognosiswithdrawal of life sustaining treatment

Identifiers

PMID40600687
PMCPMC12516225

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Registered trials

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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.