Zhang Chong, Liang Weiru, Ning Meng, Su Bin, Guo Tingting, Hu Kun, Su Wei, Chen Yi, Peng Wenjin, Liu Yingwu
The Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, The Third Central Hospital of Tianjin, Tianjin, China.
Ren Fail. 2025 Dec;47(1):2456110. doi: 10.1080/0886022X.2025.2456110. Epub 2025 Feb 4.
Impaired renal function (IRF) is associated with an elevated risk of major adverse renal events (MARE). However, the relationship between age-adapted estimated glomerular filtration rate (eGFR) criteria and in-hospital MARE has not been extensively studied in critically ill patients. Furthermore, the impact of eGFR trajectory changes on in-hospital MARE in this patient population remains underexplored.
In this study, we analyzed data from 7,423 critically ill patients using version 2.2 of the Medical Information Mart for Intensive Care IV database. Based on the age-adapted eGFR criteria, renal function status was classified as impaired renal function (IRF), subclinical impairment of renal function (SIRF), and normal renal function (NRF).
There were 2,438 patients (32.8%) of in-hospital MARE. The incidence of MARE and their individual endpoint components was higher in patients with SIRF and IRF than in patients with NRF. Group-based trajectory modeling revealed that, compared with patients with other renal function status, patients with SIRF demonstrated the most significant decline in eGFR as well as the highest risk of MARE based on the results of the low-level-to-decline trajectory. Additionally, a trend toward an increased risk of MARE was observed in patients with SIRF and IRF, particularly among younger patients, when compared with those with NRF.
Critically ill patients with SIRF and IRF had an increased risk of in-hospital MARE. Patients with SIRF experienced the most notable decline in renal function during hospitalization, with the highest risk of MARE noted in this trajectory group. In addition, a trend toward an increased risk of MARE was observed in younger patients. Consequently, active monitoring and timely intervention in younger patients are imperative.
肾功能受损(IRF)与主要不良肾脏事件(MARE)风险升高相关。然而,年龄适应性估计肾小球滤过率(eGFR)标准与危重症患者住院期间MARE之间的关系尚未得到广泛研究。此外,该患者群体中eGFR轨迹变化对住院期间MARE的影响仍未得到充分探索。
在本研究中,我们使用重症监护医学信息数据库IV 2.2版分析了7423例危重症患者的数据。根据年龄适应性eGFR标准,肾功能状态分为肾功能受损(IRF)、亚临床肾功能损害(SIRF)和肾功能正常(NRF)。
有2438例患者(32.8%)发生住院期间MARE。SIRF和IRF患者的MARE发生率及其各个终点成分高于NRF患者。基于组的轨迹模型显示,与其他肾功能状态的患者相比,SIRF患者的eGFR下降最为显著,并且根据低水平到下降轨迹的结果,其MARE风险最高。此外,与NRF患者相比,SIRF和IRF患者,尤其是年轻患者,观察到MARE风险增加的趋势。
SIRF和IRF的危重症患者住院期间MARE风险增加。SIRF患者在住院期间肾功能下降最为明显,该轨迹组中MARE风险最高。此外,年轻患者中观察到MARE风险增加的趋势。因此,对年轻患者进行积极监测和及时干预势在必行。