Prediction of clinical outcomes in elderly patients with hypertension combined with stroke based on CT imaging histology

lin Dai; jie zhang; Haiyan zhang; Lin chen; Lin cao; Ling Guo; Yu wang

doi:10.18282/po4720

lin Dai Xingtai Central Hospital,Department of Neurology,Xingtai, Hebei, China,054000
jie zhang Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000
Haiyan zhang Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000
Lin chen Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000
Lin cao Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000
Ling Guo Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000
Yu wang ^* Xingtai Central Hospital, Department of Neurology, Xingtai, Hebei, China, 054000

Article ID: 4720

Abstract

Objective: To predict the clinical outcome of elderly patients with hypertension combined with stroke based on CT imaging histology.Methods: A total of 260 elderly patients with hypertension combined with stroke admitted during September 2023-January 2025 were analyzed and classified as poor (85) and good (175) by mRS score, clinical and imaging data were collected and compared, logistic regression analyzed the risk factors of patients, and R software constructed a column-line graph model to assess the model prediction efficacy with calibration, ROC, and decision curve with Consistency.Results:Logistic regression modeling analyzed uric acid, HCY, hyperlipidemia, diabetes mellitus, blood pressure variability, creatinine, black hole sign, shape irregularity, midline shift, and density inhomogeneity as risk factors influencing the occurrence of clinical outcomes in patients (P<0.05);The Hosmer-Lemeshow goodness-of-fit test of the column-line graph model fit is high; the ROC curve analyzes the predictive efficacy of the column-line graph prediction model is good.Conclusion: CT imaging histology is effective in predicting patient clinical outcomes with high predictive efficacy.