Stoiber Arthur, Hermann Alexander, Wanka Sophie-Theres, Heinz Gottfried, Speidl Walter S, Hengstenberg Christian, Schellongowski Peter, Staudinger Thomas, Zilberszac Robert
Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
Department of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
J Clin Med. 2024 Jun 15;13(12):3505. doi: 10.3390/jcm13123505.
: Septic shock is a severe condition with high mortality necessitating precise prognostic tools for improved patient outcomes. This study aimed to evaluate the collective predictive value of the Simplified Acute Physiology Score 3 (SAPS-3) and lactate measurements (initial, peak, last, and clearance rates within the first 24 h) in patients with septic shock. Specifically, it sought to determine how these markers enhance predictive accuracy for 28-day mortality beyond SAPS-3 alone. : This retrospective cohort study analyzed data from 66 septic shock patients at two ICUs of Vienna General Hospital (2017-2019). SAPS-3 and lactate levels (initial, peak, last measurement within 24 h, and 24 h clearance) were obtained from electronic health records. Logistic regression models were constructed to identify predictors of 28-day mortality, and receiver operating characteristic (ROC) curves assessed predictive accuracy. : Among 66 patients, 36 (55%) died within 28 days. SAPS-3 scores significantly differed between survivors and non-survivors (76 vs. 85 points; = 0.016). First, last, and peak lactate were significantly higher in non-survivors compared to survivors (all < 0.001). The combination of SAPS-3 and first lactate produced the highest predictive accuracy (AUC = 80.6%). However, 24 h lactate clearance was not predictive of mortality. : Integrating SAPS-3 with lactate measurements, particularly first lactate, improves predictive accuracy for 28-day mortality in septic shock patients. First lactate serves as an early, robust prognostic marker, providing crucial information for clinical decision-making and care prioritization. Further large-scale studies are needed to refine these predictive tools and validate their efficacy in guiding treatment strategies.
感染性休克是一种死亡率很高的严重病症,需要精确的预后工具以改善患者预后。本研究旨在评估简化急性生理学评分3(SAPS-3)和乳酸测量值(初始值、峰值、末次值以及最初24小时内的清除率)对感染性休克患者的综合预测价值。具体而言,该研究试图确定这些标志物如何提高仅使用SAPS-3时对28天死亡率的预测准确性。:这项回顾性队列研究分析了维也纳总医院两个重症监护病房66例感染性休克患者的数据(2017 - 2019年)。从电子健康记录中获取SAPS-3和乳酸水平(初始值、峰值、24小时内的末次测量值以及24小时清除率)。构建逻辑回归模型以识别28天死亡率的预测因素,并通过受试者工作特征(ROC)曲线评估预测准确性。:在66例患者中,36例(55%)在28天内死亡。幸存者和非幸存者的SAPS-3评分有显著差异(76分对85分;P = 0.016)。与幸存者相比,非幸存者的首次、末次和峰值乳酸水平显著更高(均P < 0.001)。SAPS-3和首次乳酸水平的组合产生了最高的预测准确性(AUC = 80.6%)。然而,24小时乳酸清除率对死亡率没有预测作用。:将SAPS-3与乳酸测量值,特别是首次乳酸水平相结合,可提高对感染性休克患者28天死亡率的预测准确性。首次乳酸水平可作为一种早期、可靠的预后标志物,为临床决策和护理优先级提供关键信息。需要进一步开展大规模研究来完善这些预测工具,并验证它们在指导治疗策略方面的有效性。