Construction and validation of nomogram model for prolonged length of stay in patients with acute cerebral infarction based on total cerebral small vessel disease burden scores

Corresponding author: YE Yongqiang, n_taihu@163.com

DOI: 10.12201/bmr.202501.00008

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  Abstract: Objective Construct a nomogram model for prolonged length of stay in patients with acute cerebral infarction based on total cerebral small vessel disease burden scores, and validate its effectiveness. Methods A total of 462 ACI patients admitted to the department of neurology of South Taihu Hospital Affiliated To Huzhou College from January 2021 to December 2023 were selected as the study subjects. According to the length of stay, they were divided into the prolonged length of stay group (≥14 d, 104cases) and the normal length of stay group (<14 d, 358 cases). According to the ratio of 7:3, patients were divided into training group of 323 cases and validation group of 139 cases. Clinical data of patients were collected. Based on the training group data, Lasso logistic regression was used to analyze the risk factors for prolonged length of stay in ACI patients, construct a nomogram model and validate the model using validation data. In addition, Receiver operating characteristic curves (ROC curves), calibration curves and decision curves were used to evaluate the predictive performance of the model.

  Key words: Acute cerebral infarction; Cerebral small vessel disease; Total burden score; Prolonged length of stay; Nomogram

  Submit time: 3 January 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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