Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Crit Care. 2020 Apr 15;24(1):150. doi: 10.1186/s13054-020-02866-x.
The pathophysiology of septic acute kidney injury is inadequately understood. Recently, subphenotypes for sepsis and AKI have been derived. The objective of this study was to assess whether a combination of comorbidities, baseline clinical data, and biomarkers could classify meaningful subphenotypes in septic AKI with different outcomes.
We performed a post hoc analysis of the prospective Finnish Acute Kidney Injury (FINNAKI) study cohort. We included patients admitted with sepsis and acute kidney injury during the first 48 h from admission to intensive care (according to Kidney Disease Improving Global Outcome criteria). Primary outcomes were 90-day mortality and renal recovery on day 5. We performed latent class analysis using 30 variables obtained on admission to classify subphenotypes. Second, we used logistic regression to assess the association of derived subphenotypes with 90-day mortality and renal recovery on day 5.
In total, 301 patients with septic acute kidney injury were included. Based on the latent class analysis, a two-class model was chosen. Subphenotype 1 was assigned to 133 patients (44%) and subphenotype 2 to 168 patients (56%). Increased levels of inflammatory and endothelial injury markers characterized subphenotype 2. At 90 days, 29% of patients in subphenotype 1 and 41% of patients in subphenotype 2 had died. Subphenotype 2 was associated with a lower probability of short-term renal recovery and increased 90-day mortality.
In this post hoc analysis, we identified two subphenotypes of septic acute kidney injury with different clinical outcomes. Future studies are warranted to validate the suggested subphenotypes of septic acute kidney injury.
脓毒症急性肾损伤的病理生理学机制尚未完全阐明。最近,已经衍生出了脓毒症和急性肾损伤的亚表型。本研究旨在评估是否可以将合并症、基线临床数据和生物标志物相结合,对不同结局的脓毒症急性肾损伤进行有意义的亚表型分类。
我们对前瞻性芬兰急性肾损伤(FINNAKI)研究队列进行了事后分析。我们纳入了在入住重症监护病房的头 48 小时内因脓毒症和急性肾损伤而入院的患者(根据肾脏疾病改善全球结局标准)。主要结局是 90 天死亡率和第 5 天的肾功能恢复。我们使用入院时获得的 30 个变量进行潜在类别分析,以对亚表型进行分类。其次,我们使用逻辑回归评估衍生的亚表型与 90 天死亡率和第 5 天肾功能恢复的相关性。
共纳入了 301 例脓毒症急性肾损伤患者。基于潜在类别分析,选择了两类别模型。表型 1 分配给 133 例患者(44%),表型 2 分配给 168 例患者(56%)。表型 2 的炎症和内皮损伤标志物水平升高。90 天时,表型 1 中有 29%的患者和表型 2 中有 41%的患者死亡。表型 2 与短期肾功能恢复的可能性降低和 90 天死亡率升高相关。
在这项事后分析中,我们发现了两种具有不同临床结局的脓毒症急性肾损伤亚表型。需要进一步的研究来验证脓毒症急性肾损伤的建议亚表型。