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利用尿素-肌酐比值轨迹识别和验证慢性危重病亚表型

Identification and validation of chronic critical illness subphenotypes using urea-creatinine ratio trajectories.

作者信息

Su Wanting, Cui Zhigang, Sun Jinhe, Miao He, Chen Qianhui, Zhang Yuzhong, Zhang Shubo, Yin Zhihua, Ding Renyu

机构信息

Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning Province, China.

School of Nursing, China Medical University, Shenyang, Liaoning Province, China.

出版信息

Clin Nutr. 2025 Oct;53:76-87. doi: 10.1016/j.clnu.2025.08.023. Epub 2025 Aug 22.

Abstract

BACKGROUND & AIMS: Chronic critical illness (CCI) is common in intensive care units (ICUs) and is highly heterogeneous. We utilized urea-creatinine ratio (UCR) trajectories to develop and validate subphenotypes and reveal the heterogeneous treatment effects of medical nutrition therapy.

METHODS

This retrospective study included all CCI patients from three public critical care databases. Group-based trajectory modeling (GBTM) was applied to the UCR for subphenotype development and validation. A multivariate Cox regression model was used to assess the independent associations of these subphenotypes with mortality. Generalized estimation equations were used to reveal the potential heterogeneity in medical nutrition therapy between survivors and nonsurvivors in different subphenotypes.

RESULTS

A total of 4047 CCI patients were divided into three subphenotypes on the basis of their UCR trajectories. Stable low subphenotype had a low UCR with a slight upwards trend, the youngest age, and the fewest comorbidities. Intermediate subphenotype was characterized by a medium UCR. Stable high subphenotype had a high UCR with a rapid increase and the highest ICU mortality (14.72 %), hospital mortality (36.20 %) and 28-day mortality (39.26 %) (p < 0.05). In the multivariate Cox regression with Stable low subphenotype as control, Stable high subphenotype had increased risks of hospitalization mortality (HR: 2.74; 95 % CI: 2.01-3.72; P < 0.001), 28-day mortality (HR: 3.20; 95 % CI: 2.36-4.34; P < 0.001) and ICU mortality (HR: 2.78; 95 % CI: 1.71-4.52; P < 0.001). In CCI patients, the dose of nutritional intake within 5 days after CCI diagnosis were greater in the survival group (P < 0.05), especially survivors in Intermediate and Stable high subphenotypes.

CONCLUSION

We demonstrated that longitudinal UCR trajectories during the first 10 days of ICU admission serve as robust biomarkers for predicting CCI into three distinct subphenotypes to understand patient heterogeneity. For CCI patients, higher doses of enteral nutrition and protein intake after CCI diagnosis may improve prognosis, especially for patients in the subphenotypes with the higher baseline UCR values showing an upward trend and poorer prognosis. A prospective study is needed to validate these findings, inform practice and guide future research on personalized care.

摘要

背景与目的

慢性危重病(CCI)在重症监护病房(ICU)中很常见,且具有高度异质性。我们利用尿素-肌酐比值(UCR)轨迹来开发和验证亚表型,并揭示医学营养治疗的异质性治疗效果。

方法

这项回顾性研究纳入了来自三个公共重症监护数据库的所有CCI患者。基于组的轨迹建模(GBTM)应用于UCR以进行亚表型的开发和验证。多变量Cox回归模型用于评估这些亚表型与死亡率的独立关联。广义估计方程用于揭示不同亚表型中幸存者和非幸存者在医学营养治疗方面的潜在异质性。

结果

总共4047例CCI患者根据其UCR轨迹被分为三个亚表型。稳定低亚表型的UCR较低,有轻微上升趋势,年龄最小,合并症最少。中间亚表型的特点是UCR中等。稳定高亚表型的UCR较高且迅速上升,ICU死亡率(14.72%)、医院死亡率(36.20%)和28天死亡率(39.26%)最高(p<0.05)。在以稳定低亚表型为对照的多变量Cox回归中,稳定高亚表型的住院死亡率(HR:2.74;95%CI:2.01 - 3.72;P<0.001)、28天死亡率(HR:3.20;95%CI:2.36 - 4.34;P<0.001)和ICU死亡率(HR:2.78;95%CI:1.71 - 4.52;P<0.001)风险增加。在CCI患者中,CCI诊断后5天内营养摄入量在存活组中更高(P<0.05),尤其是中间和稳定高亚表型的幸存者。

结论

我们证明,ICU入院后前10天的纵向UCR轨迹可作为强大的生物标志物,用于将CCI预测为三种不同的亚表型,以了解患者的异质性。对于CCI患者,CCI诊断后更高剂量的肠内营养和蛋白质摄入可能改善预后,特别是对于基线UCR值较高且呈上升趋势且预后较差的亚表型患者。需要进行前瞻性研究来验证这些发现,为实践提供信息并指导未来关于个性化护理的研究。

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