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| Construction and validation of a prognostic model for acupuncture method of ischemic stroke based on LASSO regression model |
| Hits 496 Download times 321 Received:July 28, 2023 |
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| DOI
10.11656/j.issn.1672-1519.2023.12.10 |
| Key Words
acupuncture;ischemic stroke;clinical prediction model |
| Author Name | Affiliation | E-mail | | WU Yifan | Department of Acupuncture, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China | | | ZHANG Chao | Department of Acupuncture, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
National Clinical Research Center of Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China | | | YAN Xiong | Department of Acupuncture, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China | | | LI Bo | Department of Acupuncture, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
National Clinical Research Center of Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China | ibou119@163.com |
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| Abstract
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| [Objective] To establish and evaluate a clinical model for the prognosis of ischemic stroke patients treated by acupuncture.[Methods] We selected patients from February 2021 to April 2022 in the residential department of First Teaching Hospital of Tianjin University of Traditional Chinese Medicine. Combined with the patient's demographic data,past medical history,admission and treatment factors,the Logistic regression model was constructed based on LASSO regression screening predictors. The nomogram was used to visualize the model. [Results] In this study,the model was established based on age,history of hypertension,rehabilitation treatment,and the number of acupuncture within three months to predict the improvement of the modified Rankin scale at 3 months.The model is internally verified using the Bootstrap method. The area under the ROC curve of the model is 0.747,and the P-value of the Hosmer-Lemeshow goodness-of-fit test is 0.52. DOC clinical decision curve was 29%~88%. It shows that the model has good accuracy,discrimination,calibration and clinical benefit. [Conclusion] The prognostic model for acupuncture method of ischemic stroke based on LASSO regression model has good clinical application value. |
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