ArticleBMC neurology2020
A web based dynamic MANA Nomogram for predicting the malignant cerebral edema in patients with large hemispheric infarction.
Article in BMC neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- A nomogram for predicting malignant middle cerebral artery infarction after thrombectomy in large core infarction.Neuroradiology · 2026Article
- Development and internal validation of a multimodal nomogram integrating clinical, imaging, and laboratory data to predict malignant brain edema after reperfusion in acute ischemic stroke.Quantitative imaging in medicine and surgery · 2026Article
- CRISPR/Cas9-based discovery of ccRCC therapeutic opportunities through molecular mechanism and immune microenvironment analysis.Frontiers in immunology · 2025Article
- Validation and refinement of a predictive nomogram using artificial intelligence: assessing in-hospital mortality in patients with large hemispheric cerebral infarction.Frontiers in neurology · 2024Article
- Predicting the emergence of malignant brain oedema in acute ischaemic stroke: a prospective multicentre study with development and validation of predictive modelling.EClinicalMedicine · 2023Article
- Association Between Post-procedure Cerebral Blood Flow Velocity and Severity of Brain Edema in Acute Ischemic Stroke With Early Endovascular Therapy.Frontiers in neurology · 2022Article
- Higher Concentration of Adrenocorticotropic Hormone Predicts Post-Stroke Depression.Clinical interventions in aging · 2022Article
- Molecular Characterization, Tumor Microenvironment Association, and Drug Susceptibility of DNA Methylation-Driven Genes in Renal Cell Carcinoma.Frontiers in cell and developmental biology · 2022Article
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12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundFor large hemispheric infarction (LHI), malignant cerebral edema (MCE) is a life-threatening complication with a mortality rate approaching 80%. Establishing a convenient prediction model of MCE after LHI is vital for the rapid identification of high-risk patients as well as for a better understanding of the potential mechanism underlying MCE.
methodsOne hundred forty-two consecutive patients with LHI within 24 h of onset between January 1, 2016 and August 31, 2019 were retrospectively reviewed. MCE was defined as patient death or received decompressive hemicraniectomy (DHC) with obvious mass effect (≥ 5 mm midline shift or Basal cistern effacement). Binary logistic regression was performed to identify independent predictors of MCE. Independent prognostic factors were incorporated to build a dynamic nomogram for MCE prediction.
resultsAfter adjusting for confounders, four independent factors were identified, including previously known atrial fibrillation (KAF), midline shift (MLS), National Institutes of Health Stroke Scale (NIHSS) and anterior cerebral artery (ACA) territory involvement. To facilitate the nomogram use for clinicians, we used the "Dynnom" package to build a dynamic MANA (acronym for MLS, ACA territory involvement, NIHSS and KAF) nomogram on web ( http://www.MANA-nom.com ) to calculate the exact probability of developing MCE. The MANA nomogram's C-statistic was up to 0.887 ± 0.041 and the AUC-ROC value in this cohort was 0.887 (95%CI, 0.828 ~ 0.934).
conclusionsIndependent MCE predictors included KAF, MLS, NIHSS, and ACA territory involvement. The dynamic MANA nomogram is a convenient, practical and effective clinical decision-making tool for predicting MCE after LHI in Chinese patients.
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