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. 2021 Sep 21;11(1):18775.
doi: 10.1038/s41598-021-98298-w.

Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection

Affiliations

Association of biomarkers related to preoperative inflammatory and coagulation with postoperative in-hospital deaths in patients with type A acute aortic dissection

Ming Li et al. Sci Rep. .

Abstract

The aim of this study was to analyze the role of blood biomarkers regarding preoperative inflammation and coagulation in predicting the postoperative in-hospital mortality of patients with type A acute aortic dissection (AAD). A total of 206 patients with type A AAD who had received surgical treatment were enrolled in this study. Patients were divided into two groups: the death group (28 patients who died during hospitalization) and the survival group (178 patients). Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) were compared between the two groups. Univariable and multivariable logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of these indices in the postoperative in-hospital mortality of the patients. Univariable logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariable logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for postoperative in-hospital mortality of patients with type A AAD. ROC curve analysis indicated that application of combining FIB and PLT could improve accuracy in prediction of postoperative in-hospital mortality in patients with type A AAD. Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the postoperative in-hospital mortality of such patients. The combination of FIB and PLT may improve the accuracy of clinical prognostic assessment.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
ROC curve of a single index of D-dimer, FIB, PLT, CRP, WBC, or NEU, and the combination of the single index and PLT for predicting in-hospital deaths in patients with type A AAD. ROC, receiver operating characteristic; FIB, fibrinogen; PLT, platelet; CRP, C-reactive protein; WBC, white blood cells; NEU, neutrophil; AAD, acute aortic dissection.
Figure 2
Figure 2
ROC curve of a single index of D-dimer, FIB, PLT, CRP, WBC, or NEU, and the combination of the single index and CRP for predicting in-hospital deaths in patients with type A AAD. ROC, receiver operating characteristic; FIB, fibrinogen; PLT, platelet; CRP, C-reactive protein; WBC, white blood cells; NEU, neutrophil; AAD, acute aortic dissection.
Figure 3
Figure 3
Distribution of the in-hospital mortality rate in patients with type A AAD according to categories of the indices including D-dimer, FIB, PLT, WBC and NEU. FIB, fibrinogen; PLT, platelet; WBC, white blood cells; NEU, neutrophil; AAD, acute aortic dissection.

References

    1. Evangelista A, Isselbacher EM, Bossone E, Gleason TG, Eusanio MD, Sechtem U, Ehrlich MP, Trimarchi S, Braverman AC, Myrmel T, Harris KM, Hutchinson S, O'Gara P, Suzuki T, Nienaber CA, Eagle KA, Investigators I. Insights from the international registry of acute aortic dissection: A 20-year experience of collaborative clinical research. Circulation. 2018;137:1846–1860. doi: 10.1161/CIRCULATIONAHA.117.031264. - DOI - PubMed
    1. Cifani N, Proietta M, Tritapepe L, Di Gioia C, Ferri L, Taurino M, Del Porto F. Stanford-a acute aortic dissection, inflammation, and metalloproteinases: A review. Ann. Med. 2015;47:441–446. doi: 10.3109/07853890.2015.1073346. - DOI - PubMed
    1. Liu Y, Han L, Li J, Gong M, Zhang H, Guan X. Consumption coagulopathy in acute aortic dissection: Principles of management. J. Cardiothorac. Surg. 2017;12:50. doi: 10.1186/s13019-017-0613-5. - DOI - PMC - PubMed
    1. Guan XL, Wang XL, Liu YY, Lan F, Gong M, Li HY, Liu O, Jiang WJ, Liu YM, Zhu JM, Sun LZ, Zhang HJ. Changes in the hemostatic system of patients with acute aortic dissection undergoing aortic arch surgery. Ann. Thorac. Surg. 2016;101:945–951. doi: 10.1016/j.athoracsur.2015.08.047. - DOI - PubMed
    1. Bedel C, Selvi F. Association of platelet to lymphocyte and neutrophil to lymphocyte ratios with in-hospital mortality in patients with type a acute aortic dissection. Braz. J. Cardiovasc. Surg. 2019;34:694–698. doi: 10.21470/1678-9741-2018-0343. - DOI - PMC - PubMed

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