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体温模式变化可预测感染性休克患者的死亡率:一项观察性研究

Changes in Body Temperature Patterns Are Predictive of Mortality in Septic Shock: An Observational Study.

作者信息

Coiffard Benjamin, Merdji Hamid, Boucekine Mohamed, Helms Julie, Clere-Jehl Raphaël, Mege Jean-Louis, Meziani Ferhat

机构信息

IHU-Méditerranée Infection, IRD, AP-HM, MEPHI, Aix Marseille Université, 13005 Marseille, France.

Médecine Intensive-Réanimation, APHM, Hôpital Nord, Aix Marseille Université, 13015 Marseille, France.

出版信息

Biology (Basel). 2023 Apr 22;12(5):638. doi: 10.3390/biology12050638.

Abstract

Biological rhythms are important regulators of immune functions. In intensive care unit (ICU), sepsis is known to be associated with rhythm disruption. Our objectives were to determine factors associated with rhythm disruption of the body temperature and to assess the relationship between temperature and mortality in septic shock patients; In a cohort of septic shock, we recorded body temperature over a 24-h period on day 2 after ICU admission. For each patient, the temperature rhythmicity was assessed by defining period and amplitude, and the adjusted average (mesor) of the temperature by sinusoidal regression and cosinor analysis. Analyses were performed to assess factors associated with the three temperature parameters (period, amplitude, and mesor) and mortality. 162 septic shocks were enrolled. The multivariate analysis demonstrates that the period of temperature was associated with gender (women, coefficient -2.2 h, = 0.031) and acetaminophen use (coefficient -4.3 h, = 0.002). The mesor was associated with SOFA score (coefficient -0.05 °C per SOFA point, = 0.046), procalcitonin (coefficient 0.001 °C per ng/mL, = 0.005), and hydrocortisone use (coefficient -0.5 °C, = 0.002). The amplitude was associated with the dialysis (coefficient -0.5 °C, = 0.002). Mortality at day 28 was associated with lower mesor (adjusted hazard ratio 0.50, 95% CI 0.28 to 0.90; = 0.02), and higher amplitude (adjusted hazard ratio 5.48, 95% CI 1.66 to 18.12; = 0.005) of temperature. Many factors, such as therapeutics, influence the body temperature during septic shock. Lower mesor and higher amplitude were associated with mortality and could be considered prognostic markers in ICU. In the age of artificial intelligence, the incorporation of such data in an automated scoring alert could compete with physicians to identify high-risk patients during septic shock.

摘要

生物节律是免疫功能的重要调节因子。在重症监护病房(ICU),已知脓毒症与节律紊乱有关。我们的目标是确定与体温节律紊乱相关的因素,并评估脓毒性休克患者体温与死亡率之间的关系;在一组脓毒性休克患者中,我们在入住ICU后第2天记录了24小时内的体温。对于每位患者,通过定义周期和振幅以及通过正弦回归和余弦分析确定体温的调整平均值(中值)来评估体温节律性。进行分析以评估与三个体温参数(周期、振幅和中值)及死亡率相关的因素。共纳入162例脓毒性休克患者。多变量分析表明,体温周期与性别(女性,系数 -2.2小时,P = 0.031)和对乙酰氨基酚的使用(系数 -4.3小时,P = 0.002)有关。中值与序贯器官衰竭评估(SOFA)评分(每SOFA分值系数 -0.05°C,P = 0.046)、降钙素原(每纳克/毫升系数0.001°C,P = 0.005)以及氢化可的松的使用(系数 -0.5°C,P = 0.002)有关。振幅与透析(系数 -0.5°C,P = 0.002)有关。第28天的死亡率与较低的中值(调整后风险比0.50,95%置信区间0.28至0.90;P = 0.02)以及较高的体温振幅(调整后风险比5.48,95%置信区间1.66至18.12;P = 0.005)有关。许多因素,如治疗方法,会影响脓毒性休克期间的体温。较低的中值和较高的振幅与死亡率相关,可被视为ICU中的预后标志物。在人工智能时代,将此类数据纳入自动评分警报系统可以与医生竞争,以识别脓毒性休克期间的高危患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/10215947/c4a60f6a22fa/biology-12-00638-g001.jpg

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