Ning Yi-Le, Sun Ce, Xu Xiang-Hui, Li Li, Ke Yan-Ji, Mai Ye, Lin Xin-Feng, Yang Zhong-Qi, Xian Shao-Xiang, Chen Wei-Tao
Department of Pulmonary and Critical Care Medicine (PCCM), Bao'an District Hospital of Chinese Medicine, Shenzhen, China.
The First Clinical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Front Cardiovasc Med. 2023 Mar 7;10:1126888. doi: 10.3389/fcvm.2023.1126888. eCollection 2023.
Septic shock patients fundamentally require delicate vasoactive and inotropic agent administration, which could be quantitatively and objectively evaluated by the vasoactive-inotropic score (VIS); however, whether the dynamic trends of high-time-resolution VIS alter the clinical outcomes remains unclear. Thus, this study proposes the term VIS Reduction Rate (VRR) to generalise the tendency of dynamic VIS, to explore the association of VRR and mortality for patients with septic shock.
We applied dynamic and static VIS data to predict ICU mortality by two models: the long short-term memory (LSTM) deep learning model, and the extreme gradient boosting (XGBoost), respectively. The specific target cohort was extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database by the sophisticated structured query language (SQL). Enrolled patients were divided into four groups by VRR value: ≥50%, 0 ~ 50%, -50% ~ 0, and < -50%. Statistical approaches included pairwise propensity score matching (PSM), Cox proportional hazards regression, and two doubly robust estimation models to ensure the robustness of the results. The primary and secondary outcomes were ICU mortality and in-hospital mortality, respectively.
VRR simplifies the dosing trends of vasoactive and inotropic agents represented by dynamic VIS data while requiring fewer data. In total, 8,887 septic shock patients were included. Compared with the VRR ≥50% group, the 0 ~ 50%, -50% ~ 0, and < -50% groups had significantly higher ICU mortality [hazard ratio (HR) 1.32, 95% confidence interval (CI) 1.17-1.50, < 0.001; HR 1.79, 95% CI 1.44-2.22, < 0.001; HR 2.07, 95% CI 1.61-2.66, < 0.001, respectively] and in-hospital mortality [HR 1.43, 95% CI 1.28-1.60, p < 0.001; HR 1.75, 95% CI 1.45-2.11, < 0.001; HR 2.00, 95% CI 1.61-2.49, < 0.001, respectively]. Similar findings were observed in two doubly robust estimation models.
The trends of dynamic VIS in ICU might help intensivists to stratify the prognosis of adult patients with septic shock. A lower decline of VIS was remarkably associated with higher ICU and in-hospital mortality among septic shock patients receiving vasoactive-inotropic therapy for more than 24 h.
感染性休克患者从根本上需要精细地使用血管活性药物和正性肌力药物,这可以通过血管活性-正性肌力评分(VIS)进行定量和客观评估;然而,高时间分辨率VIS的动态变化趋势是否会改变临床结局仍不清楚。因此,本研究提出了VIS降低率(VRR)这一术语来概括动态VIS的变化趋势,以探讨VRR与感染性休克患者死亡率之间的关联。
我们分别应用动态和静态VIS数据,通过两种模型预测ICU死亡率:长短期记忆(LSTM)深度学习模型和极端梯度提升(XGBoost)模型。通过复杂的结构化查询语言(SQL)从重症监护医学信息数据库IV(MIMIC-IV)中提取特定目标队列。纳入的患者根据VRR值分为四组:≥50%、050%、-50%0和< -50%。统计方法包括成对倾向评分匹配(PSM)、Cox比例风险回归和两个双重稳健估计模型,以确保结果的稳健性。主要和次要结局分别为ICU死亡率和住院死亡率。
VRR简化了由动态VIS数据表示的血管活性药物和正性肌力药物的给药趋势,同时所需数据较少。总共纳入了8887例感染性休克患者。与VRR≥50%组相比,050%、-50%0和< -50%组的ICU死亡率显著更高[风险比(HR)分别为1.32,95%置信区间(CI)为1.17-1.50,<0.001;HR 1.79,95%CI为1.44-2.22,<0.001;HR 2.07,95%CI为1.61-2.66,<0.001]以及住院死亡率[HR分别为1.43,95%CI为1.28-1.60,p<0.001;HR 1.75,95%CI为1.45-2.11,<0.001;HR 2.00,95%CI为1.61-2.49,<0.001]。在两个双重稳健估计模型中也观察到了类似的结果。
ICU中动态VIS的变化趋势可能有助于重症监护医生对成年感染性休克患者的预后进行分层。在接受血管活性-正性肌力治疗超过24小时的感染性休克患者中,VIS下降较低与较高的ICU死亡率和住院死亡率显著相关。