多种尿金属在评估哮喘个体死亡风险中的预测价值:一项前瞻性队列研究。

IF 3.6 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jun Wen, Yan Liu, Jiaxin Liao, Rongjuan Zhuang, Jing Xia, Jing Chi
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引用次数: 0

摘要

有非常有限的流行病学研究可用来验证金属暴露如何影响哮喘患者的预后。本研究旨在利用NHANES数据,构建预测模型,探讨尿中多种金属元素在哮喘患者预后评估中的价值。本研究采用Cox回归模型、生存三维相互作用图和生存曲线来研究哮喘患者尿金属与预后之间的关系。本研究还采用LASSO回归寻找预测模型的关键变量,然后采用随时间变化的受试者工作特征(ROC)曲线和Shapley加性解释(SHAP)模型来评估预测模型的性能和有用性。Cox回归模型、生存三维相互作用图和生存曲线均证实,在控制混杂因素后,尿镉(HR: 1.76, 95% CI: 1.08-2.87)和钴(HR: 1.27, 95% CI: 1.06-1.52)浓度越高,哮喘患者的生存率越低,死亡风险越高。然而,其他七种尿金属(钡、铯、钼、锰、铅、锡和钨)与哮喘患者的预后没有明显的关联。根据LASSO回归和SHAP模型,预测哮喘个体死亡率最显著的指标是年龄、镉、钴、糖尿病、癌症、其他慢性气道疾病和心血管疾病。这7个指标的组合在预测哮喘人群1年(AUC: 0.82)、5年(AUC: 0.86)和9年(AUC: 0.82)死亡风险方面表现优异。本研究发现,当哮喘患者尿镉浓度超过0.21µg/L或尿钴浓度超过0.98µg/L时,尿镉、钴浓度与哮喘患者死亡率呈正相关。尿镉和钴与其他标志物结合使用,可作为预测哮喘人群不良后果的有效实用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The predictive value of multiple urinary metals in evaluating death risk in asthmatic individuals: a prospective cohort study

There is very limited epidemiological research available to verify how metal exposure impacts the prognosis of individuals with asthma. This study aimed to investigate the value of multiple urinary metals in assessing the prognosis of asthma patients by utilizing data from NHANES and constructing the predictive models. This study employed Cox regression models, survival 3D interaction plots, and survival curves to examine the associations between urinary metals and the outcomes among asthmatic patients. This study also employed LASSO regression to find key variables for the prediction model and then employed time-dependent receiver operating characteristic (ROC) curves and Shapley additive explanations (SHAP) models to evaluate how well the prediction model performed and its usefulness. The Cox regression models, survival 3D interaction plots, and survival curves all verified that, after controlling for confounders, the higher concentrations of urinary cadmium (HR: 1.76, 95% CI: 1.08–2.87) and cobalt (HR: 1.27, 95% CI: 1.06–1.52), the lower the survival rate and the higher the risk of death for asthma patients. However, no significant associations were observed between the other seven urinary metals (barium, cesium, molybdenum, manganese, lead, tin, and tungsten) and the prognosis of asthma patients. According to the LASSO regression and SHAP model, the most significant indicators predicting mortality in individuals with asthma were age, cadmium, cobalt, diabetes, cancer, other chronic airway diseases, and cardiovascular disease. The combination of these seven indicators exhibited superior performance when predicting the 1-year (AUC: 0.82), 5-year (AUC: 0.86), and 9-year (AUC: 0.82) death risk of asthma populations. This study revealed that when the urinary cadmium concentration of asthma patients exceeded 0.21 µg/L or the urinary cobalt concentration exceeded 0.98 µg/L, urinary cadmium and cobalt concentrations were positively associated with mortality among asthma patients. Urinary cadmium and cobalt, when combined with other markers, can serve as effective and practical instruments for predicting adverse outcomes in asthmatic populations.

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来源期刊
Biometals
Biometals 生物-生化与分子生物学
CiteScore
5.90
自引率
8.60%
发文量
111
审稿时长
3 months
期刊介绍: BioMetals is the only established journal to feature the important role of metal ions in chemistry, biology, biochemistry, environmental science, and medicine. BioMetals is an international, multidisciplinary journal singularly devoted to the rapid publication of the fundamental advances of both basic and applied research in this field. BioMetals offers a forum for innovative research and clinical results on the structure and function of: - metal ions - metal chelates, - siderophores, - metal-containing proteins - biominerals in all biosystems. - BioMetals rapidly publishes original articles and reviews. BioMetals is a journal for metals researchers who practice in medicine, biochemistry, pharmacology, toxicology, microbiology, cell biology, chemistry, and plant physiology who are based academic, industrial and government laboratories.
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