医学
列线图
逻辑回归
接收机工作特性
队列
死亡率
多元分析
内科学
回顾性队列研究
队列研究
生存分析
多元统计
回归分析
曲线下面积
预测模型
急诊医学
风险评估
临床试验
重症监护医学
死亡风险
存活率
儿科
疾病严重程度
置信区间
康复
试验预测值
噬血细胞性淋巴组织细胞增多症
作者
Jun Zhou,Jingping Liu,H Yin,Mingjun Xie,Hua‐Guo Xu
标识
DOI:10.1186/s12877-026-07622-4
摘要
OBJECTIVE: To develop and validate a prognostic model for predicting 30-day mortality in older patients with hemophagocytic lymphohistiocytosis (HLH). METHODS: This retrospective cohort study enrolled 204 HLH patients aged ≥ 65 years from January 2015 to November 2023. We divided the cohort into development and validation cohorts in a 7:3 ratio. Then we used logistic regression analysis and the least absolute shrinkage and selection operator regression (LASSO) to develop a prognostic model. Performance was assessed using the area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). RESULTS: The 30-day mortality rate was 40.7%. Multivariate analysis identified five risk factors independently associated with 30-day mortality of older patients with HLH: Age, platelet (PLT), alanine aminotransferase (ALT), UREA, and ferritin. The model has good discrimination and calibration ability (AUC: 0.828 (0.755-0.886) for the development cohort and 0.773 (0.654-0.891) for the validation cohort). The model showed excellent calibration and clinical utility. Kaplan-Meier survival curve analysis showed that patients with the nomogram value > 0.3851 were positively correlated with higher 30-day mortality (P < 0.001). CONCLUSION: The model incorporating age and four routine clinical parameters accurately stratifies 30-day mortality risk in older HLH patients demonstrating strong discriminative ability and clinical applicability, thereby providing a basis for clinical decision-making.
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