Development and validation of a nomogram for delirium in the old ischaemic stroke patients.

IF 1.7
Xiaoyan Cai, Xuefen Yu, Jieying Qin, Kebing Zhou, Zhiying Li, Jiahui Zhang, Dongxiang Zheng, Peng Wang, Fengxia Yan
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Abstract

Aim: To investigate the predictors of post-stroke delirium (PSD) in the old ischaemic stroke patients, and develop a nomogram to predict the risk of PSD.

Methods: A cross-observational study was conducted. The old ischaemic stroke patients in a tertiary hospital in South China were recruited and randomly divided into the train group and test group. Multivariate logistic regression analysis was performed in the train group to screen out predictors of PSD, and develop a nomogram. The receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow goodness-of-fit test (H-L test) and decision curve analysis (DCA) were used to evaluate the nomogram. The internal validation was performed in test group.

Results: The incidence of PSD was 21.1% (105/497). Coronary heart disease (CHD), indwelling catheter, physical restraint, and neutrophil-to-lymphocyte ratio (NLR) were significantly associated with PSD. The area under the ROC curve of the nomogram was 0.885 in the train group, and 0.865 in the test group. The calibration curves of the two groups were close to the standardised line. The P-values of H-L test were over 0.05. The DCA presented some net benefits in the two groups.

Conclusion: CHD, indwelling catheter, restraint, and NLR were strongly associated with PSD in the old. A nomogram with good prediction effect and advisable clinical applicability was developed.

老年缺血性脑卒中患者谵妄脑图的建立与验证。
目的:探讨老年缺血性脑卒中患者脑卒中后谵妄(PSD)的预测因素,并建立预测PSD风险的线图。方法:采用交叉观察研究。选取华南某三级医院缺血性脑卒中老年患者,随机分为训练组和试验组。对训练组进行多变量logistic回归分析,筛选PSD的预测因子,并形成nomogram。采用受试者工作特征(ROC)曲线、校正曲线、Hosmer-Lemeshow拟合优度检验(H-L检验)和决策曲线分析(DCA)对正态图进行评价。试验组进行内部验证。结果:PSD的发生率为21.1%(105/497)。冠心病(CHD)、留置导尿管、身体约束和中性粒细胞与淋巴细胞比值(NLR)与PSD显著相关。训练组的ROC曲线下面积为0.885,试验组为0.865。两组的校正曲线均接近标准化曲线。H-L检验p值均大于0.05。DCA对两组患者均有一定的净收益。结论:冠心病、留置导管、约束、NLR与老年人PSD密切相关。建立了一种预测效果较好、临床适用性较好的nomogram。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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