AI Article Synopsis

  • * Researchers analyzed data from 70 patients with TBM-related ischemic stroke (TBMRIS) and 70 control patients with TBM only, finding key clinical features and risk factors through logistic regression analysis.
  • * Significant risk factors identified include variations in red blood cell distribution width, mean platelet volume, C-reactive protein, cerebrospinal fluid glucose levels, and modified Research Council Grade II, contributing to a predictive model for high-risk TBM patients.

Article Abstract

Objective: Ischemic stroke is a common complication in patients with tubercular meningitis (TBM). However, the risk factors for Ischemic stroke in TBM patients are not fully understood, especially in those patients without conventional vascular risk factors. The aim of the present study was to explore the clinical features and independent risk factors for tubercular meningitis-related Ischemic stroke (TBMRIS).

Methods: Tubercular meningitis patients with acute Ischemic stroke without conventional vascular risk factors were recruited between July 2010 and July 2020 as the TBMRIS group. Patients who solely had tubercular meningitis were recruited as the control group (TMB group). Demographic characteristics, clinical presentations, and cerebrospinal fluid (CSF) examinations were collected, and multiple logistic regression analysis was applied to analyse the independent risk factors for TBMRIS.

Results: A total of 70 TBMRIS patients and 70 TMB patients were enrolled. Most (82.86%) of the TBMRIS patients experienced Ischemic stroke events within 3 months after the diagnosis of tubercular meningitis. The multiple logistic regression analysis revealed that variation in red blood cell distribution width (RDW-CV), mean platelet volume (MVP), C-reactive protein (CRP), CSF glucose and Modified Research Council Grade II (MRC Grade II) were independent risk factors for TBRIS. The AUC of the identification model was 0.808, with a sensitivity of 68.60% and a specificity of 84.30%.

Conclusion: This study revealed that RDW-CV, MVP, CRP, CSF glucose and MRC Grade II are potential independent risk factors for TBMRIS. The identification model established in this study may help monitor TBM patients who are at high risk of developing TBMRIS.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741832PMC
http://dx.doi.org/10.2147/JIR.S392040DOI Listing

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