Predictors of poor outcomes in patients with intracerebral hemorrhage

Liling Zeng1, Qixin Zhang2, Zhangyong Xia3

  • 1Department of Neurology and Statistics, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

PubMed

Insights

Older age, right hemispheric hemorrhage, intraventricular hemorrhage, and higher NIHSS scores predict poor outcomes in intracerebral hemorrhage (ICH) patients. Higher BMI and early admission improve prognosis.

Area of Science:

  • Neurology
  • Clinical Medicine
  • Public Health

Background:

  • Intracerebral hemorrhage (ICH) is a critical condition with significant mortality and morbidity.
  • Identifying predictors of outcomes in ICH patients receiving conservative management is crucial for prognosis and treatment planning.

Purpose of the Study:

  • To determine the predictors of 3-month outcomes in Chinese patients with intracerebral hemorrhage (ICH) undergoing conservative management.
  • To identify factors associated with poor outcomes (modified Rankin scale score > 2 at 90 days) in this patient cohort.

Main Methods:

  • A post-analysis of the CRRICH study involving 319 patients with spontaneous ICH.
  • Univariate analysis followed by unconditional multiple logistic regression to identify significant predictors.
  • Poor outcomes were defined as a modified Rankin scale score > 2 at 90 days post-ICH.

Main Results:

  • Older age (OR 1.05), right hemispheric hemorrhage (OR 2.41), intraventricular hemorrhage (OR 3.70), and higher National Institutes of Health Stroke Scale (NIHSS) scores (OR 1.21) were associated with increased odds of poor 3-month outcomes.
  • Higher body mass index (BMI) (OR 0.88) and shorter symptom-to-admission time (OR 0.77) were associated with reduced odds of poor outcomes.

Conclusions:

  • In conservatively treated ICH patients, specific factors like right hemispheric involvement, ventricular hemorrhage, older age, and higher NIHSS scores elevate the risk of poor 3-month outcomes.
  • Conversely, a higher BMI and prompt admission are linked to better prognoses, offering valuable insights for clinical prediction models.
Abstract

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