早期CKD的预测模型使用那不勒斯预后得分和等离子体氨酸2,3-二氧化原酶活性
Hao Hong1, Junyao Zheng2, Haimin Shi2
1Department of Intensive Care Unit, The First Affiliated Hospital of Soochow University, Soochow, People's Republic of China.
Journal of inflammation research
|July 25, 2024
概括
那不勒斯预后评分 (NPS) 和印度氨胺2.3-二氧化酶 (IDO) 活性有效预测早期慢性病 (CKD). 这种综合模型显示出强大的预测准确度,用于识别CKD的发展和进展.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 生物化学 生物化学
- 免疫学 免疫学 免疫学
背景情况:
- 慢性病 (CKD) 的发展与炎症,免疫力和营养状况有关.
- 那不勒斯预后评分 (NPS) 评估了这些关键的临床参数.
- 氨酸2.3-二氧化酶 (IDO) 调节炎症反应和细胞因子的产生.
研究的目的:
- 评估NPS和IDO活动对早期CKD的预测能力.
- 建立一个整合NPS和IDO用于CKD检测的预测模型.
主要方法:
- 收集了47名CKD患者和30名健康对照者的临床和人口统计数据.
- 使用ANOVA,等级总和测试,相关性分析 (斯皮尔曼/皮尔森) 和后勤回归.
- 进行了接收器运行特征 (ROC) 分析,以评估预测性能.
主要成果:
- NPS与血IDO活性正相关;IDO水平随着CKD阶段的增加而增加.
- 对于将对照组与CKD患者区分开来,NPS实现了0.779的曲线下的面积 (AUC).
- 一个预测模型 (NPS + 血 IDO 活性) 在CKD 阶段中显示出显著的预测能力,AUC 从0.758到0.885.
结论:
- 结合NPS和IDO活动的预测模型为早期CKD提供了可靠的预测.
- 该模型有效地区分健康个体和CKD患者,以及CKD不同阶段.
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