• Zhonghua Wei Zhong Bing Ji Jiu Yi Xue · Dec 2018

    [Correlation between shock index and severity of septic shock and its prognostic value].

    • Aiping Wu, Jinzhu Wang, Fang Han, and Yin Ni.
    • Department of Intensive Care Unit, Zhejiang Provincial People's Hospital, Hangzhou 310014, Zhejiang, China (Wu AP, Wang JZ, Han F); Department of Hospital Infection Management, Zhejiang Provincial People's Hospital, Hangzhou 310014, Zhejiang, China (Ni Y). Corresponding author: Ni Yin, Email: linkimlin@163.com.
    • Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Dec 1; 30 (12): 1141-1145.

    ObjectiveTo discuss the correlation between shock index (SI) and severity and the values to forecast the prognosis in patients with septic shock.Methods127 patients with septic shock admitted to intensive care unit (ICU) of Zhejiang Provincial People's Hospital from January 1st, 2016 to October 31st, 2017 were enrolled, and they were divided into survival group and death group according to the outcomes after 28-day hospitalized. The vital signs, laboratory indexes, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), lactate clearance rate (LCR) of 3 hours after fluid resuscitation, and shock index on admission (SI1) and shock index of 3 hours after fluid resuscitation (SI2) were compared between the two groups. The correlation among SI and APACHE II, SOFA, LCR was analyzed. The receiver operating characteristic curve (ROC) was drawn to evaluate the prognostic value of SI in patients with septic shock.ResultsA total of 127 patients were included, 52 in survival group (40.9%) and 75 in death group (59.1%). The SI1, SI2, APACHE II and SOFA in the death group were significantly higher than those in the survival group (SI1: 1.62±0.46 vs. 1.35±0.32, SI2: 1.36±0.24 vs. 0.93±0.15, APACHE II: 17.5±4.0 vs. 13.6±3.5,SOFA: 9.5±2.3 vs. 6.3±1.5), and LCR was significantly lower than that in the survival group [(14.4±5.2)% vs. (28.6±8.6)%], with statistically significant differences (all P < 0.01). The correlation analysis showed that SI1 was significantly positively correlated with APACHE II (r = 0.458, P = 0.000) and SOFA (r = 0.535, P = 0.000), SI2 was also significantly positively correlated with APACHE II (r = 0.624, P = 0.000) and SOFA (r = 0.656, P = 0.000), while SI1 and SI2 were significantly negatively correlated with LCR (r values were -0.348, -0.435, both P = 0.000), and the SI2 were more remarkable. ROC curve analysis showed that the area under ROC curve (AUC) of SI1 for predicting the prognosis of septic shock was 0.720 [95% confidence interval (95%CI) = 0.620-0.831, P < 0.05]; when SI1 = 1.68, the sensitivity, specificity, Yoden index, positive predictive value and negative predictive value were 79.5%, 65.6%, 0.451, 0.759 and 0.636, respectively. The AUC of the SI2 to predict prognosis of septic shock was 0.826 (95%CI = 0.739-0.826, P < 0.05); when SI2 = 1.37, the sensitivity, specificity, Yoden index, positive predictive value and negative predictive value were 85.7%, 87.6%, 0.733, 0.893 and 0.902, respectively.ConclusionsCompared with SI1, SI2 was more correlated with the severity in patients with septic shock and it had more values to predict prognosis.

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