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Predictors of early neurological deterioration in patients with acute ischemic stroke.
Zhou, Yang; Luo, Yufan; Liang, Huazheng; Wei, Zhenyu; Ye, Xiaofei; Zhong, Ping; Wu, Danhong.
Afiliación
  • Zhou Y; Emergency Department, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
  • Luo Y; Department of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
  • Liang H; Suzhou Industrial Park Monash Research Institute of Science and Technology, Suzhou, Jiangsu Province, China.
  • Wei Z; Southeast University-Monash University Joint Graduate School, Suzhou, Jiangsu Province, China.
  • Ye X; Monash University-Southeast University Joint Research Institute, Suzhou, Jiangsu Province, China.
  • Zhong P; Department of Neurology, Shanghai Yangpu District Shidong Hospital, Shanghai, China.
  • Wu D; Department of Military Health Statistics, School of Health Service, People's Liberation Army, Naval Medical University, Shanghai, China.
Front Neurol ; 15: 1433010, 2024.
Article en En | MEDLINE | ID: mdl-39233686
ABSTRACT

Background:

The present study aimed to develop a reliable and straightforward Nomogram by integrating various parameters to accurately predict the likelihood of early neurological deterioration (END) in patients with acute ischemic stroke (AIS).

Methods:

Acute ischemic stroke patients from Shaoxing People's Hospital, Shanghai Yangpu District Shidong Hospital, and Shanghai Fifth People's Hospital were recruited based on specific inclusion and exclusion criteria. The primary outcome was END. Using the LASSO logistic model, a predictive Nomogram was generated. The performance of the Nomogram was evaluated using the ROC curve, the Hosmer-Lemeshow test, and a calibration plot. Additionally, the decision curve analysis was conducted to assess the effectiveness of the Nomogram.

Results:

It was found that the Nomogram generated in the present study showed strong discriminatory performance in both the training and the internal validation cohorts when their ROC-AUC values were 0.715 (95% CI 0.648-0.782) and 0.725 (95% CI 0.631-0.820), respectively. Similar results were observed in two external validation cohorts when their ROC-AUC values were 0.685 (95% CI 0.541-0.829) and 0.673 (95% CI 0.545-0.800), respectively. In addition, CAD, SBP, neutrophils, TBil, and LDL were found to be positively correlated with the occurrence of END post-stroke, while lymphocytes and UA were negatively correlated.

Conclusion:

Our study developed a novel Nomogram that includes CAD, SBP, neutrophils, lymphocytes, TBil, UA, and LDL and it demonstrated strong discriminatory performance in identifying AIS patients who are likely to develop END.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza