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Progressive Lacunar Strokes: A Predictive Score.

Saima Bashir1, Mikel Terceño1, Maria Buxó2

  • 1Stroke Unit. Department of Neurology. Hospital UniversitarI Doctor Josep Trueta de Girona. Girona Biomedical Research Institute (IDIBGI). Girona, Spain.

Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|May 23, 2022
PubMed
Summary

A new predictive score helps identify patients with lacunar stroke at high risk for progressive lacunar syndromes (PLS). This tool aids in early intervention for patients prone to long-term dependency.

Keywords:
Lacunar syndromePrognosisProgressive lacunar strokeRisk score

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Area of Science:

  • Neurology
  • Stroke Medicine
  • Clinical Prediction Models

Background:

  • Progressive lacunar syndromes (PLS) affect 20-30% of lacunar stroke patients.
  • PLS significantly increases the risk of long-term functional dependency.

Purpose of the Study:

  • To develop a predictive score for identifying patients at high risk of developing PLS.
  • To aid in early intervention for patients with lacunar stroke.

Main Methods:

  • A risk score was derived from a cohort of 187 patients with lacunar syndromes.
  • Logistic regression and receiver operating characteristic (ROC) analysis were used.
  • Predictive factors included diabetes, diastolic blood pressure, motor syndrome, and asymptomatic intracranial atheromatosis.

Main Results:

  • 52 (27.8%) of patients presented with PLS.
  • Independent predictors for PLS were identified: diabetes, diastolic blood pressure, pure motor syndrome, and asymptomatic intracranial atheromatosis.
  • The predictive model achieved an area under the ROC curve of 0.77.

Conclusions:

  • The developed score can be a valuable tool in clinical practice.
  • It facilitates the identification of high-risk patients for PLS and potential long-term dependency.
  • Early identification allows for timely and intensive treatment strategies.