| 基于动脉自旋标记的动脉瘤性蛛网膜下腔出血短期预后模型构建及评价：一项前瞻性研究 |
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| 引用本文： | 王晶晶, 赵新斌, 郭笑颜, 张立民. 基于动脉自旋标记的动脉瘤性蛛网膜下腔出血短期预后模型构建及评价：一项前瞻性研究[J]. 分子影像学杂志, 2024, 47(1): 19-24. doi: 10.12122/j.issn.1674-4500.2024.01.04 |
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| 作者姓名： | 王晶晶 赵新斌 郭笑颜 张立民 |
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| 作者单位： | 1.华北理工大学附属医院CT/MRI室，河北 唐山 063000;;2.华北理工大学附属医院神经外科，河北 唐山 063000 |
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| 基金项目： | 河北省中医药管理局科学研究课题计划项目2023085 |
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| 摘 要： | 目的 构建基于动脉自旋标记的动脉瘤性蛛网膜下腔出血（aSAH）短期预后模型，评价模型效能。方法 前瞻性选取本院的107例aSAH患者作为研究对象，均行动脉自旋标记检查。根据出院后90 d的改良Rankin量表评分将患者分为预后良好组和预后不良组。比较2组的年龄、Hunt-Hess量表评分、改良Fisher量表评分、格拉斯哥昏迷量表（GCS）评分及血细胞参数等数据。用LASSO-Logistic回归分析aSAH预后的风险因素。构建预后模型，采用ROC曲线、校准曲线和决策曲线分析评估模型效能。结果 预后不良组的年龄、Hunt-Hess量表评分、改良Fisher量表评分、中性粒细胞、淋巴细胞、中性粒细胞/淋巴细胞比值和系统免疫炎症指数均高于预后良好组（P < 0.05），GCS评分、血小板/淋巴细胞比值、同侧局部脑血流（rCBF）值和rCBF比值均低于预后良好组（P < 0.05）。LASSO-Logistic回归分析结果显示，年龄 > 44岁和Hunt-Hess量表评分3⁓5分是aSAH预后的独立危险因素（P < 0.05），GCS评分 > 9分和rCBF比值> 0.66是aSAH预后的独立保护因素（P < 0.05）。模型A（由年龄、Hunt-Hess量表评分和GCS评分构成，0.961）和模型B（由年龄、Hunt-Hess量表评分、GCS评分和rCBF比值构成，0.981）的ROC曲线下面积差异无统计学意义（P > 0.05）。模型A的校准曲线与理想曲线重合度中等，模型B的校准曲线与理想曲线重合度高；模型A（0.042）的平均绝对误差值高于模型B（0.014）。在大部分风险阈值范围内，模型B的净收益均高于模型A。结论 aSAH患者的年龄、Hunt-Hess量表评分和GCS评分有助于判断其不良预后。联合rCBF比值构建的模型判断aSAH患者不良预后的价值更高。
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| 关 键 词： | 动脉自旋标记 动脉瘤 蛛网膜下腔出血 预后 模型 |
| 收稿时间： | 2023-09-28 |
Construction and evaluation of a near-term prognostic model for aneurysmal subarachnoid hemorrhage based on arterial spin labeling: a prospective study |
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| WANG Jingjing, ZHAO Xinbin, GUO Xiaoyan, ZHANG Limin. Construction and evaluation of a near-term prognostic model for aneurysmal subarachnoid hemorrhage based on arterial spin labeling: a prospective study[J]. Journal of Molecular Imaging, 2024, 47(1): 19-24. doi: 10.12122/j.issn.1674-4500.2024.01.04 |
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| Authors: | WANG Jingjing ZHAO Xinbin GUO Xiaoyan ZHANG Limin |
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| Affiliation: | 1. Department of CT/MRI, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China;;2. Department of Neurosurgery, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China |
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| Abstract: | Objective To develop a short-term prognostic model for aneurysmal subarachnoid hemorrhage (aSAH) using arterial spin labeling and to assess the model's efficacy. Methods A total of 107 aSAH patients from our hospital underwent arterial spin labeling examination and were prospectively selected as study subjects. Patients were classified into good and poor prognosis groups based on their modified Rankin scale scores at 90 days post-discharge. Comparisons between the two groups were conducted for age, Hunt-Hess scale score, modified Fisher scale score, Glasgow coma scale (GCS) score, and blood cell parameters. Risk factors for the aSAH prognosis were then analyzed using LASSO-Logistic regression. A prognostic model was developed, and its effectiveness was evaluated using ROC curves, calibration curves, and decision curve analysis. Results Compared to the good prognosis group, the poor prognosis group exhibited higher levels of age, Hunt-Hess scale score, modified Fisher scale score, neutrophils, lymphocytes, neutrophils/lymphocytes and systemic immune inflammation index (P < 0.05). Conversely, the GCS score, platelets/lymphocytes, ipsilateral regional cerebral blood flow (rCBF) values, and rCBF ratio were lower than those in the good prognosis group (P < 0.05). LASSO-Logistic regression analysis revealed that age > 44 years old and a Hunt-Hess scale score of 3-5 were independent risk factors for the prognosis of aSAH (P < 0.05), while a GCS score > 9 and an rCBF ratio > 0.66 were independent protective factors for the prognosis of aSAH (P < 0.05). The model A, consisting of age, Hunt-Hess scale score, and GCS score, had an area under the ROC curve of 0.961, which was not statistically significantly different from the area under the ROC curve of model B, consisting of age, Hunt-Hess scale score, GCS score, and rCBF ratio (0.981) (P > 0.05). While the calibration curve of model A moderately overlapped with the ideal curve, model B exhibited a high overlap with the ideal curve. Moreover, the mean absolute error value was higher in model A (0.042) than in model B (0.014). The net benefit of model B outweighed that of model A across most of the risk threshold range. Conclusion The age, Hunt-Hess scale score, and GCS score of aSAH patients are significant in predicting poor prognosis. Incorporating the rCBF ratio into the model was found to enhance its value in assessing poor prognosis in aSAH patients. |
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| Keywords: | arterial spin labeling aneurysm subarachnoid hemorrhage prognosis model |
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