Value of Barthel, PLAN and NIHSS scores for predicting the death of patients with acute ischemic stroke during their 5-year follow-up

J Clin Neurosci. 2021 Aug:90:94-98. doi: 10.1016/j.jocn.2021.05.049. Epub 2021 Jun 8.

Abstract

Objective: This study aimed to investigate the value of Barthel, PLAN, and NIHSS scores for predicting death in the 5-year follow-up after patients with AIS are discharged and find a simple and convenient predictive scale.

Methods: Data were prospectively collected from 678 patients with AIS. Patients' death after 5 years of follow-up was considered the final event. The predictors of death were examined through single-factor and multivariate analysis. The receiver operating characteristic curve (ROC) of the patients' Barthel, PLAN, and NIHSS scores was drawn, and the area under the curve (AUC) was calculated. Differences in the predictive power of the three scales were compared using MedCalc. The goodness of fit between predictive and actual models was evaluated with the Hosmer-Lemeshow method.

Results: Multivariate analysis suggested that the BI score was an independent predictor of death from AIS in the 5-year follow-up. The Barthel, PLAN, and NIHSS scale scores predicted the 5-year mortality AUC values of AIS were 0.687 [95% CI, (0.649-0.722)], 0.621 [95% CI, (0.583-0.659)], 0.637 [95% CI, (0.599-0.674)], the Hosmer-Lemeshow test revealed P > 0.05, indicating that the three models had a good fit. In pairwise comparison, the AUC value of the BI score was significantly greater than that of the NIHSS scores (Pc = 0.0189). BI and PLAN scores were very close to statistical significance (Pc = 0.0513). However, PLAN and NIHSS scores had no significant differences (Pc = 1.7493).

Conclusion: Simple BI scores had a high predictive value for the death of Chinese patients with AIS within 5 years.

Keywords: AIS; Barthel; Death; NIHSS; PLAN; Prediction.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Follow-Up Studies
  • Humans
  • Ischemic Stroke / mortality*
  • Male
  • Middle Aged
  • Patient Discharge
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Survival Rate