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Correlation of Triglyceride Glucose Index with Early Neurological Deterioration in Patients with Single Subcortical Infarction

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  • معلومة اضافية
    • بيانات النشر:
      Chinese General Practice Publishing House Co., Ltd, 2023.
    • الموضوع:
      2023
    • Collection:
      LCC:Medicine
    • نبذة مختصرة :
      Background Early neurological deterioration (END) is common after acute ischemic stroke, which contributes to increased functional impairment and mortality in patients. Triglyceride glucose index (TyG index) is an independent predictor of the severity of neurological deficits in patients with acute ischemic stroke and is also associated with early recurrent ischemic lesions, however, its correlation with the incidence of END in single subcortical infarction (SSI) has been rarely reported and the correlation remains unclear. Objective To investigate the correlation between TyG index and the incidence of END in patients with SSI. Methods A total of 197 patients diagnosed with SSI and admitted within 72 h after symptom onset in the Department of Neurology, the Third Hospital of Hebei Medical University from 2020 to 2021 were included in the study and divided into the END group (n=45) and non-END group (n=152) based on whether END was developed. The clinical data of the patients were collected and multivariate Logistic regression analysis was used to investigate the correlation between TyG index and the incidence of END in patients with SSI. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of TyG index for END in patients with SSI. Results The proportion of patients with diabetes, FBG, TG and TyG index were higher in the END group than the non-END group (P0.05). The ROC area under the curve (AUC) of TyG index for predicting END in patients with SSI was 0.66〔95%CI (0.57, 0.75), P=0.001〕, with an optimal cut-off value of 8.61, sensitivity of 0.689 and specificity of 0.638. Patients were divided into those with TyG index≥8.61 (n=86) and those with TyG index
    • File Description:
      electronic resource
    • ISSN:
      1007-9572
    • Relation:
      https://www.chinagp.net/fileup/1007-9572/PDF/20230261.pdf; https://doaj.org/toc/1007-9572
    • الرقم المعرف:
      10.12114/j.issn.1007-9572.2023.0261
    • الرقم المعرف:
      edsdoj.b034a39f2ca4b0686fa4b2d09e9930f