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纤维蛋白原和中性粒细胞/淋巴细胞比率评分以及D-二聚体/白蛋白比率对动脉瘤性蛛网膜下腔出血患者预后的预后意义

Prognostic significance of fibrinogen and neutrophil/lymphocyte ratio score and D-dimer/Albumin ratio for prognosis in patients with aneurysmal subarachnoid hemorrhage.

作者信息

Qiu Wenjie, Li Wencai, Xu Ke, Zhu Gang, Luo Honghai, Deng Yifan, Qin Zhongzong, Zeng Kailiang, Wei Yingcong, Lin Xiaoyong

机构信息

Guangdong Medical University, Zhanjiang, China.

Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China.

出版信息

J Stroke Cerebrovasc Dis. 2023 Nov;32(11):107338. doi: 10.1016/j.jstrokecerebrovasdis.2023.107338. Epub 2023 Sep 8.

DOI:10.1016/j.jstrokecerebrovasdis.2023.107338
PMID:37690163
Abstract

BACKGROUND

Recent research indicates that systemic inflammation significantly affects the overall prognosis of individuals with aneurysmal subarachnoid hemorrhage. To delve deeper into this issue, a retrospective study was undertaken. The study aimed to investigate the relationship between fibrinogen and neutrophil/lymphocyte ratio scores, D-dimer/Albumin ratios, and the Glasgow Outcome Scale at 6 months post-discharge for patients with aSAH.

METHODS

A retrospective analysis was conducted on 321 patients who experienced aneurysmal subarachnoid hemorrhage. These patients were monitored using the Glasgow Outcome Scale six months after being discharged from Huizhou Central People's Hospital. Patients with GOS scores between 1 and 3 were classified as having a poor prognosis, while those with scores ranging from 4 to 5 were considered to have a good prognosis. To create distinct sets, patients were randomly divided into both training and validation groups. The best cut-off value for the D-dimer/Albumin ratio was established through ROC curves, and the scores for fibrinogen and the neutrophil/lymphocyte ratio were calculated. Utilizing multivariate logistic regression analysis, independent risk factors linked to an unfavorable prognosis in aSAH patients were identified. A nomogram model was developed and validated based on these findings, providing an improved approach for evaluating the prognostic influence of risk factors. To gauge the model's predictive performance, several analytical tools such as ROC curves, calibration curves, and decision curve analysis were employed. This comprehensive approach ensured a thorough assessment of the prognostic prediction capabilities of the model.

RESULTS

Multivariate regression analysis revealed that Age (OR=3.87, 95%CI=1.54-9.73, p=0.004), Pneumonia (OR=3.54, 95%CI=1.41-8.86, p=0.007), WFNS (OR=3.24, 95%CI=1.23-8.54, p=0.017), DAR (OR=2.88, 95%CI=1.13-7.34, p=0.027), and F-NLR (OR=3.12, 95%CI=1.22-7.97, p=0.017) were identified as independent risk factors influencing the prognosis of patients with aSAH. Additionally, the area under the ROC curve was 0.866 (95%CI=0.805-0.927) for the training set and 0.924 (95%CI=0.849-0.999) for the validation set. The calibration curve analysis demonstrated a minor error of 0.02 for the training set and 0.051 for the validation set. Furthermore, both the training set and validation set displayed significant clinical benefits according to the DCA curves, underscoring the meaningful utility of the developed nomogram.

CONCLUSIONS

Fibrinogen and neutrophil/lymphocyte ratio scores, and the D-dimer/Albumin ratio emerged as significant independent risk factors for prognosticating the outcomes of patients with aSAH. Leveraging these factors, a robust nomogram model was meticulously developed, showcasing its impressive precision in prognostic predictions. These results underscore the promising clinical applicability of these biomarkers as effective prognostic indicators for individuals afflicted by aSAH.

摘要

背景

近期研究表明,全身炎症显著影响动脉瘤性蛛网膜下腔出血患者的总体预后。为深入探讨这一问题,开展了一项回顾性研究。该研究旨在调查纤维蛋白原与中性粒细胞/淋巴细胞比率评分、D - 二聚体/白蛋白比率以及动脉瘤性蛛网膜下腔出血(aSAH)患者出院后6个月的格拉斯哥预后量表之间的关系。

方法

对321例经历动脉瘤性蛛网膜下腔出血的患者进行回顾性分析。这些患者在从惠州市中心人民医院出院6个月后使用格拉斯哥预后量表进行监测。格拉斯哥预后量表(GOS)评分在1至3分的患者被归类为预后不良,而评分在4至5分的患者被认为预后良好。为创建不同的数据集,患者被随机分为训练组和验证组。通过ROC曲线确定D - 二聚体/白蛋白比率的最佳截断值,并计算纤维蛋白原和中性粒细胞/淋巴细胞比率的评分。利用多因素逻辑回归分析,确定与aSAH患者不良预后相关的独立危险因素。基于这些发现开发并验证了一个列线图模型,为评估危险因素的预后影响提供了一种改进方法。为评估该模型的预测性能,采用了几种分析工具,如ROC曲线、校准曲线和决策曲线分析。这种综合方法确保了对模型预后预测能力的全面评估。

结果

多因素回归分析显示,年龄(OR = 3.87,95%CI = 1.54 - 9.73,p = 0.004)、肺炎(OR = 3.54,95%CI = 1.41 - 8.86,p = 0.007)、世界神经外科联盟分级(WFNS)(OR = 3.24,95%CI = 1.23 - 8.54,p = 0.017)、D - 二聚体/白蛋白比率(DAR)(OR = 2.88,95%CI = 1.13 - 7.34,p = 0.027)和纤维蛋白原 - 中性粒细胞/淋巴细胞比率(F - NLR)(OR = 3.12,95%CI = 1.22 - 7.97,p = 0.017)被确定为影响aSAH患者预后的独立危险因素。此外,训练集的ROC曲线下面积为0.866(95%CI = 0.805 - 0.927),验证集为0.924(95%CI = 0.849 - 0.999)。校准曲线分析显示训练集的误差为0.02,验证集为0.051。此外,根据决策曲线分析,训练集和验证集均显示出显著的临床益处,突出了所开发列线图的实用价值。

结论

纤维蛋白原、中性粒细胞/淋巴细胞比率评分以及D - 二聚体/白蛋白比率是预测aSAH患者预后的重要独立危险因素。利用这些因素,精心开发了一个强大的列线图模型,展示了其在预后预测方面令人印象深刻的准确性。这些结果强调了这些生物标志物作为aSAH患者有效预后指标的潜在临床适用性。

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