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Chinese Journal of Critical Care Medicine(Electronic Edition) ›› 2022, Vol. 15 ›› Issue (03): 177-182. doi: 10.3877/cma.j.issn.1674-6880.2022.03.001

• Original Article • Previous Articles     Next Articles

Analysis of incidence and related risk factors of septic cardiomyopathy

Chan Wang1, Boling Li1, Xiaojuan Shi1, Chengqiao Jing1, Daoran Dong1, Yuan Zong1,()   

  1. 1. Department of Intensive Care Unit, Shaanxi Provincial People's Hospital, Xi'an 710068, China
  • Received:2021-10-29 Online:2022-06-30 Published:2022-08-02
  • Contact: Yuan Zong

Abstract:

Objective

To investigate the incidence and related risk factors of septic cardiomyopathy (SCM).

Methods

A total of 228 patients with sepsis or septic shock admitted to ICU of Shaanxi Provincial People's Hospital from January 2019 to April 2021 were retrospectively analyzed in this study. All patients were divided into the SCM group (42 cases) and the non-SCM group (186 cases) according to the occurrence of SCM. The clinical indicators were recorded and compared between the two groups. The multivariate Logistic regression analysis was used to analyze the risk factors associated with the development of SCM. Meanwhile, the receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of each indicator on SCM occurrence.

Results

The incidence of SCM in patients with sepsis or septic shock was 18.4% (42/228). In the SCM group, the patients were older (t = 5.309, P<0.001), the incidences of coronary atherosclerotic heart disease (CHD), atrial fibrillation, heart failure and chronic kidney failure were higher (χ2 = 5.090, P = 0.024; χ2 = 6.399, P = 0.011; χ2 = 31.848, P< 0.001; χ2 = 3.979, P = 0.046), and the levels of white blood cell (WBC), lactate, creatine kinase isoenzymes-MB, high-sensitivity cardiac troponin T (hs-cTnT) and acute physiology and chronic health evaluation (APACHE) Ⅱ score (t = 4.560, P<0.001; Z = 3.855, P<0.001; Z = 2.075, P = 0.038; Z = 5.513, P<0.001; Z = 5.913, P<0.001) were all much higher than those in the non-SCM group. The multivariate Logistic regression analysis showed that the age [odds ratio (OR) = 1.071, 95% confidence interval (CI) (1.006, 1.139), P = 0.030], CHD [OR = 3.185, 95%CI (1.201, 8.447), P = 0.020], heart failure [OR = 3.028, 95%CI (1.041, 8.810), P = 0.042], WBC [OR = 1.095, 95%CI (1.003, 1.196), P = 0.042], lactate [OR = 1.095, 95%CI (1.014, 1.183), P = 0.021], hs-cTnT [OR = 1.629, 95%CI (1.098, 2.418), P = 0.015], APACHEⅡ score [OR = 1.092, 95%CI (1.003, 1.188), P = 0.043] were independent risk factors for the incidence of SCM. The ROC curve analysis showed that the age [area under the curve (AUC) = 0.767, 95%CI (0.694, 0.840), P<0.001], WBC [AUC = 0.757, 95%CI (0.689, 0.824), P<0.001], lactate [AUC = 0.690, 95%CI (0.603, 0.778), P<0.001], hs-cTnT [AUC = 0.772, 95%CI (0.071, 0.843), P<0.001] and APACHEⅡ score [AUC = 0.792, 95%CI (0.727, 0.856), P<0.001] all had certain predictive values for SCM occurrence.

Conclusions

The incidence of SCM of patients with sepsis or septic shock is relatively high. Age, CHD, heart failure, WBC, lactate, hs-cTnT and APACHEⅡ score are independent risk factors of SCM occurrence.

Key words: Cardiomyopathies, Sepsis, Shock, septic, Risk factors

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