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Value of the Barthel scale in prognostic prediction for patients with cerebral infarction
Qun-Xi Li1, Xiao-Jing Zhao2, Yan Wang3
1Department of Neurosurgery, Affiliated Hospital of North China University of Science and Technology, Tangshan, 063000, China.
Insights
The Barthel Index (BI) score effectively predicts mortality risk in acute cerebral infarction patients. Lower BI scores indicate a higher risk of death, highlighting its prognostic value.
Area of Science:
- Neurology
- Clinical Medicine
- Geriatrics
Background:
- Acute cerebral infarction poses significant challenges to patient prognosis.
- Assessing daily living activities (ADL) is crucial for predicting outcomes in these patients.
Purpose of the Study:
- To evaluate the predictive value of the Barthel Index (BI) scoring for the prognosis of patients with acute cerebral infarction.
- To investigate the relationship between BI scores and mortality risk.
Main Methods:
- Patients with acute anterior circulation cerebral infarction were included based on specific criteria.
- Barthel Index (BI) scores were analyzed across five grades.
- Receiver operating characteristic (ROC) curves were utilized to assess predictive accuracy.
Main Results:
- A statistically significant difference in BI scores was observed between survival and death groups (P < 0.05), with lower scores in the deceased.
- A decreasing BI score correlated with increased mortality risk in cerebral infarction patients.
- The ROC curve analysis yielded an Area Under the Curve (AUC) of 0.794 (P < 0.05).
Conclusions:
- The Barthel Index (BI) scoring system demonstrates high value in prognostic prediction for acute cerebral infarction patients.
- BI scoring serves as a reliable tool for assessing long-term outcomes and mortality risk.
Background:
This study aims to evaluate the ADL(activity of daily living) of patients with acute cerebral infarction through BI scoring, in order to observe its predictive value in the prognosis of these patients.
Methods:
According to the inclusion and exclusion criteria, patients with acute anterior circulation cerebral infarction were included in the present study. Then, the BI scoring was analyzed through five grades, in order to further investigate the dose-response relationship between BI scoring and mortality risk in patients with cerebral infarction. The receiver operating characteristic (ROC) curves for BI-scored patients were drawn, and the predictive authenticity of the Barthel scale in prognostic prediction for patients with cerebral infarction was estimated.
Results:
The difference in BI scores between the survival group and death group were statistically significant (t = 10.029, P < 0.05), in which the score was lower in the death group than in the survival group. According to the linear trend ×2-test, the decrease in BI score indicates an increase in mortality risk in patients with cerebral infarction. The area under the curve (AUC) of the ROC curve was 0.794 with a P-value of < 0.05.
Conclusion:
BI scoring is a highly valuable scoring system for the prognostic prediction of patients with acute cerebral infarction.
