METHODS: Baseline data for patients with sepsis in the intensive care unit were retrieved from the Critical Care Medicine Database (MIMIC-IV, v2.2). The primary outcome was mortality during hospitalization. The propensity score matching (PSM) method was used to analyze the basic conditions during hospitalization between groups.The FI-Lab was analysed for its relationship with in-hospital mortality using logistic regression according to continuous and categorical variables, respectively, and described using the restricted cubic spline (RCS). Survival was compared between groups using Kaplan-Meier (KM) curves. Subgroup analyses were used to improve the stability of the results.
RESULTS: A total of 9219 patients were included. A cohort score of 1803 matched patients was generated after PSM. The analyses showed that non-surviving patients with septic shock in the ICU had a high FI-Lab index (P<0.001). FI-Lab, whether used as a continuous or categorical variable, increased with increasing FI-Lab and increased in-hospital mortality (P<0.001).Subgroup analyses showed similar results. RCS depicts this non-linear relationship. KM analysis shows the cumulative survival time during hospitalisation was significantly lower as FI-Lab increased (log-rank test, P<0.001).
CONCLUSIONS: Elevated FI-Lab is associated with increased in-hospital mortality in patients with septic shock.
方法:从重症监护医学数据库中检索重症监护病房脓毒症患者的基线数据(MIMIC-IV,V2.2).主要结果是住院期间的死亡率。采用倾向评分匹配(PSM)法对组间住院期间的基本情况进行分析。根据连续变量和分类变量,使用逻辑回归分析FI-Lab与住院死亡率的关系,分别,并使用受限三次样条(RCS)进行描述。使用Kaplan-Meier(KM)曲线比较各组之间的生存率。亚组分析用于提高结果的稳定性。
结果:共纳入9219例患者。PSM后产生1803名匹配患者的队列评分。分析结果显示,ICU中败血症性休克患者的FI-Lab指数较高(P<0.001)。FI-Lab,无论是用作连续变量还是分类变量,随着FI-Lab的增加和院内死亡率的增加(P<0.001)。亚组分析显示相似的结果。RCS描述了这种非线性关系。KM分析显示,随着FI-Lab增加,住院期间的累积生存时间显着降低(对数秩检验,P<0.001)。
结论:FI-Lab升高与脓毒性休克患者住院死亡率增加相关。