The Journal of Practical Medicine ›› 2025, Vol. 41 ›› Issue (17): 2755-2760.doi: 10.3969/j.issn.1006-5725.2025.17.021

• Medical Examination and Clinical Diagnosis • Previous Articles    

D⁃dimer/Alb ratio, IL⁃6 and FDP jointly predict poor outcomes post type A dissection

Yunfang ZHANG,Zheng LI,Xiaogai NIE,Yun GUAN,Qi CHEN,Yong YUAN()   

  1. Department of Medical Laboratory,Yan'an Hospital Affiliated to Kunming Medical University,Kunming 650051,Yunnan,China
  • Received:2025-05-16 Online:2025-09-10 Published:2025-09-05
  • Contact: Yong YUAN E-mail:yuanyong1@kmmu.edu

Abstract:

Objective To analyze and evaluate the early warning efficacy of D?dimer/albumin ratio (DAR) combined with interleukin?6 (IL?6) and fibrin degradation products (FDP) in the postoperative treatment of acute Stanford type A aortic dissection (ATAAD). Methods A retrospective cohort study was conducted on 284 ATAAD patients who underwent the Sun′s procedure at our hospital from July 2024 to March 2025. Patients were divided into a non?adverse outcome group (n = 196) and an adverse outcome group (n = 88) based on the occurrence of postoperative complications within 30 days, including acute renal failure requiring dialysis, secondary thoracotomy for hemostasis, severe neurological complications, multiple organ failure, or all?cause mortality. Preoperative baseline data, perioperative parameters, and laboratory indicators were collected via the electronic medical record system. The Mann?Whitney U test was used to compare the differences between groups for continuous variables that did not conform to the normal distribution, and Chi?square test or Fisher's exact test was selected for statistical difference analysis according to the frequency distribution characteristics of categorical variables. On the basis of univariate analysis, multivariate logistic regression analysis was used to screen independent risk factors. Results Statistically significant differences were observed between the non?adverse and adverse outcome group in age, cardiopulmonary bypass time, lactate dehydrogenase (LDH), IL?6, D?dimer (D?D), FDP, and DAR levels (P < 0.05). Multivariate analysis revealed that DAR, IL?6, D?D, FDP, and prolonged cardiopulmonary bypass time were independent risk factors for adverse postoperative outcomes (P < 0.05). Combined detection analysis demonstrated that the combination of DAR, IL?6, FDP, and cardiopulmonary bypass time yielded the highest predictive efficacy, with an area under the ROC curve of 0.886 (95%CI: 0.846 ~ 0.927). Conclusion The combination of DAR, IL?6, FDP, and cardiopulmonary bypass time effectively predicts adverse postoperative outcomes in ATAAD patients. This biomarker panel may serve as a robust predictive tool for postoperative risk stratification.

Key words: stanford type A aortic dissection, adverse outcomes, biomarkers, cohort studies, logistic regression

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