Predicting poor 90-day prognosis in acute spontaneous intracerebral hemorrhage patients using initial MRI signs of cerebral small vessel disease (CSVD): a retrospective cohort study

BackgroundVarious factors impact the prognosis of the patients with intracerebral hemorrhage (ICH).PurposeTo evaluate the initial magnetic resonance imaging (MRI) indicators of cerebral small vessel disease (CSVD) and evaluate the relationship between the MRI indicators and ICH prognosis.Material and MethodsClinical and imaging data were collected from individuals diagnosed with acute ICH who had undergone MRI within 48 h of symptom onset between October 2021 and March 2022. The 90-day modified Rankin Scale (mRS) scores were analyzed, focusing on identifying those patients with a mRS score ≥3 points, which was consistent with a poor prognosis.ResultsA total of 220 ICH patients were evaluated, with 81 (36.8%) having a poor prognosis at 90 days. The study identified encephalatrophy (<i>P</i> = 0.014, odds ratio [OR] = 2.431, 95% confidence interval [CI] = 1.242-3.768), grade 2 periventricular Fazekas scale (<i>P</i> = 0.021, OR = 2.389, 95% CI = 1.174-2.869), centrum semiovale perivascular space (<i>P</i> = 0.035, OR = 2.296, 95% CI = 1.110-3.798), age (<i>P</i> = 0.002, OR = 1.046, 95% CI = 1.017-1.077), female sex (<i>P</i> = 0.015, OR = 0.463, 95% CI = 0.250-0.859), and admission National Institutes of Health Stroke Scale score (<i>P</i> = 0.003, OR = 1.052, 95% CI = 1.022-1.084) as independent risk factors for poor prognosis of an ICH. The incorporation of MRI findings significantly enhanced the predictive accuracy of the poor prognosis model in comparison to a model lacking MRI findings (AUC = 0.833 vs. 0.815, net reclassification index = 0.186; <i>P</i> = 0.021, integrated discrimination improvement = 0.158; <i>P</i> = 0.016).ConclusionIdentification of initial MRI findings of CSVD, such as white matter hyperintensity, perivascular spaces, cerebral microbleeds, lacunar infarcts, brain atrophy, and leukodystrophy, has the potential to enhance prognostication of patients with ICHs.

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Journal
Acta Radiologica
Published
2025-03-28
DOI
https://doi.org/10.1177/02841851251329523
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
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article
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article

Predicting poor 90-day prognosis in acute spontaneous intracerebral hemorrhage patients using initial MRI signs of cerebral small vessel disease (CSVD): a retrospective cohort study

Chuyue Wu, Wenbing Zeng, Xinghua Liu, Zhenjie Yang et al.
Acta Radiologica
Intracerebral and Subarachnoid Hemorrhage Research
article

Predicting poor 90-day prognosis in acute spontaneous intracerebral hemorrhage patients using initial MRI signs of cerebral small vessel disease (CSVD): a retrospective cohort study

Chuyue Wu, Wenbing Zeng, Xinghua Liu, Zhenjie Yang, Lei He, Rui He, Yü Huang
article en

Abstract

BackgroundVarious factors impact the prognosis of the patients with intracerebral hemorrhage (ICH).PurposeTo evaluate the initial magnetic resonance imaging (MRI) indicators of cerebral small vessel disease (CSVD) and evaluate the relationship between the MRI indicators and ICH prognosis.Material and MethodsClinical and imaging data were collected from individuals diagnosed with acute ICH who had undergone MRI within 48 h of symptom onset between October 2021 and March 2022. The 90-day modified Rankin Scale (mRS) scores were analyzed, focusing on identifying those patients with a mRS score ≥3 points, which was consistent with a poor prognosis.ResultsA total of 220 ICH patients were evaluated, with 81 (36.8%) having a poor prognosis at 90 days. The study identified encephalatrophy (<i>P</i> = 0.014, odds ratio [OR] = 2.431, 95% confidence interval [CI] = 1.242-3.768), grade 2 periventricular Fazekas scale (<i>P</i> = 0.021, OR = 2.389, 95% CI = 1.174-2.869), centrum semiovale perivascular space (<i>P</i> = 0.035, OR = 2.296, 95% CI = 1.110-3.798), age (<i>P</i> = 0.002, OR = 1.046, 95% CI = 1.017-1.077), female sex (<i>P</i> = 0.015, OR = 0.463, 95% CI = 0.250-0.859), and admission National Institutes of Health Stroke Scale score (<i>P</i> = 0.003, OR = 1.052, 95% CI = 1.022-1.084) as independent risk factors for poor prognosis of an ICH. The incorporation of MRI findings significantly enhanced the predictive accuracy of the poor prognosis model in comparison to a model lacking MRI findings (AUC = 0.833 vs. 0.815, net reclassification index = 0.186; <i>P</i> = 0.021, integrated discrimination improvement = 0.158; <i>P</i> = 0.016).ConclusionIdentification of initial MRI findings of CSVD, such as white matter hyperintensity, perivascular spaces, cerebral microbleeds, lacunar infarcts, brain atrophy, and leukodystrophy, has the potential to enhance prognostication of patients with ICHs.

Acta RadiologicaVol. 66(8)
Chongqing University (CN), Chongqing Maternal and Child Health Hospital (CN), Chongqing Three Gorges Central Hospital (CN), Chongqing Three Gorges University (CN)
Gender equality
Openalex Percentile: Top 90%
Intracerebral and Subarachnoid Hemorrhage Research
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