Canbaz Mert, Orhun Günseli, Polat Özlem, Anaklı İlkay, Aydın Abdurrahman Fatih, Kılınç Serhat, Ergin Özcan Perihan, Esen Figen
Department of Anesthesiology and Reanimation, Istanbul Faculty of Medicine, Istanbul University, Millet Cd. Cerrahi Monoblok Giriş Kat., 34093 Istanbul, Turkey.
Department of Medical Biochemistry, Istanbul Faculty of Medicine, Istanbul University, 34093 Istanbul, Turkey.
J Clin Med. 2025 Jul 30;14(15):5370. doi: 10.3390/jcm14155370.
Sepsis-associated acute kidney injury (S-AKI) is common and is associated with poor outcomes. This prospective observational study aimed to assess the predictive value of four novel biomarkers-syndecan-1 (SDC1), neutrophil gelatinase-associated lipocalin (NGAL), proenkephalin (PENK), and presepsin (PSPN)-for renal outcomes and mortality in septic ICU patients. Serum biomarker levels were measured in serum samples collected at the time of sepsis diagnosis on the basis of the Sepsis-3 criteria. Acute kidney injury (AKI) was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, and patients were grouped by the presence of AKI, renal replacement therapy requirement (RRT), and intensive care unit (ICU) survival. Demographic, clinical, laboratory, and severity score data were compared between groups to evaluate the predictive performance of biomarkers and clinical parameters. Of the 140 septic patients included, 55.0% developed AKI, 17.2% required RRT, and the ICU mortality rate was 50.0%. SDC1 was independently associated with both AKI (OR: 1.201; = 0.024) and RRT initiation (OR: 1.260; = 0.004). It also demonstrated the highest predictive performance for RRT (AUC: 0.715; = 0.001) and a significant AUC for AKI evaluation (AUC: 0.659; = 0.002). NGAL levels were significantly elevated in patients with AKI and higher SOFA scores but were not independently predictive. PENK and PSPN were not significantly associated with any renal outcome or mortality. The combined SOFA-SDC1 model improved discrimination for both AKI (AUC: 0.770) and RRT (AUC: 0.737), surpassing individual predictors. SDC1 emerged as the most reliable biomarker for assessing AKI and predicting the need for RRT, highlighting its potential role in early renal risk stratification among critically ill patients.
脓毒症相关急性肾损伤(S-AKI)很常见,且与不良预后相关。这项前瞻性观察性研究旨在评估四种新型生物标志物—— Syndecan-1(SDC1)、中性粒细胞明胶酶相关脂质运载蛋白(NGAL)、前脑啡肽原(PENK)和可溶性髓系细胞触发受体-1(PSPN)——对脓毒症重症监护病房(ICU)患者肾脏预后和死亡率的预测价值。根据脓毒症-3标准,在脓毒症诊断时采集的血清样本中测量血清生物标志物水平。急性肾损伤(AKI)根据改善全球肾脏病预后组织(KDIGO)指南进行定义,患者按是否存在AKI、是否需要肾脏替代治疗(RRT)以及ICU生存率进行分组。比较各组之间的人口统计学、临床、实验室和严重程度评分数据,以评估生物标志物和临床参数的预测性能。在纳入的140例脓毒症患者中,55.0%发生了AKI,17.2%需要RRT,ICU死亡率为50.0%。SDC1与AKI(比值比:1.201;P = 0.024)和开始RRT均独立相关(比值比:1.260;P = 0.004)。它对RRT也表现出最高的预测性能(曲线下面积:0.715;P = 0.001),对AKI评估也有显著的曲线下面积(曲线下面积:0.659;P = 0.002)。AKI患者和序贯器官衰竭评估(SOFA)评分较高的患者中NGAL水平显著升高,但不具有独立预测性。PENK和PSPN与任何肾脏预后或死亡率均无显著关联。联合SOFA-SDC1模型改善了对AKI(曲线下面积:0.770)和RRT(曲线下面积:0.737)的辨别能力,超过了单个预测指标。SDC1成为评估AKI和预测RRT需求最可靠的生物标志物,凸显了其在危重症患者早期肾脏风险分层中的潜在作用。