Evidence map›Paper›PMID 41132876›Full record

ArticleFrontiers in neurology2025

Risk factors and model construction for early neurological deterioration in patients with intracerebral hemorrhage.

Heng Zhou, Dapeng Dai, Kang Xie, Aimin Li

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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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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

4 authors.

Heng ZhouDepartment of Neurosurgery, Institute of Neuroscience, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Dapeng DaiDepartment of Neurosurgery, Institute of Neuroscience, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Kang XieDepartment of Neurosurgery, Institute of Neuroscience, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Aimin LiDepartment of Neurosurgery, Institute of Neuroscience, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the risk factors for early neurological deterioration (END) in patients with spontaneous intracerebral hemorrhage (ICH), construct a predictive model, and evaluate its predictive efficacy. Methods: We retrospectively selected 450 ICH patients admitted to the First People's Hospital of Lianyungang from June 2023 to September 2024. The patients were randomly divided into a training set (315 patients) and a validation set (135 patients) at a 7:3 ratio. In the training set, patients were categorized into END group ( Results: In the training set, there were significant differences between the END and non-END groups in terms of age, admission systolic blood pressure, admission GCS score, admission NIHSS score, serum potassium, serum calcium, blood glucose, homocysteine (Hcy), white blood cell count (WBC), C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), intraventricular hemorrhage (IVH), blend sign, midline shift, hematoma expansion (HE), and initial hematoma volume ( Conclusion: Age, WBC, Hcy, HE, blend sign, and admission systolic blood pressure are independent risk factors for END in ICH patients. The nomogram model established based on these parameters can effectively predict END and provide a reference for clinical decision-making.

Indexed as

early neurological deteriorationENDintracerebral hemorrhagepredictive modelrisk factors

Identifiers

PMID41132876
PMCPMC12540136

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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.