Modified ICH score was superior to original ICH score for assessment of 30-day mortality and good outcome of non-traumatic intracerebral hemorrhage

Widyadharma, I Putu Eka; Krishna, Angga; Soejitno, Andreas; Laksmidewi, Anak Agung Ayu Putri; Tini, Kumara; Putra, Ida Bagus Kusuma; Budiarsa, I Gusti Ngurah Ketut; Indrayani, Ida Ayu Sri

doi:10.1016/j.clineuro.2021.106913

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…The AUCs were 0.905 (0.868-0.940), 0.886 (0.819-0.947), and 0.861 (0.795-0.922) in the training, internal validation, and external testing cohorts, respectively, which showed that our nomogram can be easily translated into routine clinical practice. Radiomics based on initial NCCT showed added value for predicting a poor outcome after ICH compared with some traditional predictive models based on clinical parameters (17)(18)(19)(20). Moreover, the hybrid model was more accurate at predicting a poor outcome and 30-day mortality in patients with deep ICH.…”

Section: Discussionmentioning

confidence: 94%

Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage

Xie¹,

Chen²,

Li³

et al. 2022

Quant Imaging Med Surg

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Section: Discussionmentioning

confidence: 94%

Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage

Xie¹,

Chen²,

Li³

et al. 2022

Quant Imaging Med Surg

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“…It has also been suggested that the hematoma volume ( Kuramatsu et al, 2011 ; Forti et al, 2016 ; Inoue et al, 2018 ) and neuroinflammation ( Jiang et al, 2021 ; Watson et al, 2022 ) are more critical in elderly patients with ICH. The GCS score is the most widely used indicator for assessing the degree of coma in patients, and lower GCS scores are associated with a higher risk of death ( Saika et al, 2015 ; Widyadharma et al, 2021 ). Consistent with our results, many nomogram-based studies have reported that a decrease in GCS scores significantly contributes to an increase in mortality and the likelihood of hematoma expansion in ICH patients ( Yao et al, 2015 ; Cui et al, 2020 ; Chen et al, 2021 ; Kang et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage

et al. 2022

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BackgroundIntracerebral hemorrhage (ICH) is a stroke syndrome with an unfavorable prognosis. Currently, there is no comprehensive clinical indicator for mortality prediction of ICH patients. The purpose of our study was to construct and evaluate a nomogram for predicting the 30-day mortality risk of ICH patients.MethodsICH patients were extracted from the MIMIC-III database according to the ICD-9 code and randomly divided into training and verification cohorts. The least absolute shrinkage and selection operator (LASSO) method and multivariate logistic regression were applied to determine independent risk factors. These risk factors were used to construct a nomogram model for predicting the 30-day mortality risk of ICH patients. The nomogram was verified by the area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA).ResultsA total of 890 ICH patients were included in the study. Logistic regression analysis revealed that age (OR = 1.05, P < 0.001), Glasgow Coma Scale score (OR = 0.91, P < 0.001), creatinine (OR = 1.30, P < 0.001), white blood cell count (OR = 1.10, P < 0.001), temperature (OR = 1.73, P < 0.001), glucose (OR = 1.01, P < 0.001), urine output (OR = 1.00, P = 0.020), and bleeding volume (OR = 1.02, P < 0.001) were independent risk factors for 30-day mortality of ICH patients. The calibration curve indicated that the nomogram was well calibrated. When predicting the 30-day mortality risk, the nomogram exhibited good discrimination in the training and validation cohorts (C-index: 0.782 and 0.778, respectively). The AUCs were 0.778, 0.733, and 0.728 for the nomogram, Simplified Acute Physiology Score II (SAPSII), and Oxford Acute Severity of Illness Score (OASIS), respectively, in the validation cohort. The IDI and NRI calculations and DCA analysis revealed that the nomogram model had a greater net benefit than the SAPSII and OASIS scoring systems.ConclusionThis study identified independent risk factors for 30-day mortality of ICH patients and constructed a predictive nomogram model, which may help to improve the prognosis of ICH patients.

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“…Intracerebral hemorrhage (ICH), defined as a brain injury caused by acute bleeding into the brain parenchyma from a ruptured cerebral blood vessel [1], is arguably the most lethal form of acute stroke [2]. The early-term mortality of ICH is around 40%, with no significant improvement over the past three decades [3,4]. The hematomainduced compression and damage to brain tissue can lead to initial brain injury, and the inflammatory and clotting reactions following ICH can consequently cause a more severe and long-lasting secondary brain injury [5].…”

Section: Introductionmentioning

confidence: 99%

Egr1 promotes Nlrc4-dependent neuronal pyroptosis through phlda1 in an in-vitro model of intracerebral hemorrhage

Wang,

Gu,

Jin

et al. 2024

NeuroReport

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Intracerebral hemorrhage (ICH) is a fatal brain injury, but the current treatments for it are inadequate to reduce the severity of secondary brain injury. Our study aims to explore the molecular mechanism of Egr1 and Phlda1 in regulating hemin-induced neuronal pyroptosis, and hope to provide novel therapeutic targets for ICH treatment. Mouse hippocampal neuron cells treated with hemin were used to simulate an in-vitro ICH model. Using qRT-PCR and western blot to evaluate mRNA and protein concentrations. MTT assay was utilized to assess cell viability. LDH levels were determined by lactate Dehydrogenase Activity Assay Kit. IL-1β and IL-18 levels were examined by ELISA. The interaction of Egr1 and Phlda1 promoter was evaluated using chromatin immunoprecipitation and dual-luciferase reporter assays. Egr1 and Phlda1 were both upregulated in HT22 cells following hemin treatment. Hemin treatment caused a significant reduction in HT22 cell viability, an increase in Nlrc4 and HT22 cell pyroptosis, and heightened inflammation. However, knocking down Egr1 neutralized hemin-induced effects on HT22 cells. Egr1 bound to the promoter of Phlda1 and transcriptionally activated Phlda1. Silencing Phlda1 significantly reduced Nlrc4-dependent neuronal pyroptosis. Conversely, overexpressing Phlda1 mitigated the inhibitory effects of Egr1 knockdown on Nlrc4 and neuronal pyroptosis during ICH. Egr1 enhanced neuronal pyroptosis mediated by Nlrc4 under ICH via transcriptionally activating Phlda1.

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Modified ICH score was superior to original ICH score for assessment of 30-day mortality and good outcome of non-traumatic intracerebral hemorrhage

Cited by 7 publications

References 15 publications

Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage

Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage

Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage

Egr1 promotes Nlrc4-dependent neuronal pyroptosis through phlda1 in an in-vitro model of intracerebral hemorrhage

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