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Updated: Jul 13, 2025
Mouse Model of Alloimmune-induced Vascular Rejection and Transplant Arteriosclerosis
Published on: May 17, 2015
[Efficacy and Prognosis of Transplant-Associated Thrombotic Microangiopathy Based on Different Prognostic Risk
Yi-Fan Xu1,2, Yan Wei1,2, Jia-Yuan Guo2,3
1Medical School of Chinese PLA, Beijing 100853, China.
Objective:
To investigate the clinical features of transplant-associated thrombotic microangiopathy (TA-TMA) and the prognostic value of different prognostic risk models for TA-TMA.
Methods:
The clinical characteristics of 32 TA-TMA patients diagnosed at the First Medical Center of the PLA General Hospital from January 2018 to February 2022 in terms of short-term prognosis and influencing factors were retrospectively analyzed. In addition, the risk population composition ratio, treatment response, and overall survival between the BATAP risk model and the TMA index model were compared, as well as the efficacy of two prognostic risk models for predicting death in patients with TA-TMA.
Results:
Independent risk factors affecting the short-term prognosis of TA-TMA include III-IV aGVHD prior to TA-TMA diagnosis (P=0.001), renal or neurological dysfunction (P=0.006), and Hb<70 g/L (P=0.043). In the TMA index model, treatment response was worst in the high-risk group (P=0.008), while there was no significant difference in treatment response between different risk groups in the BATAP model (P=0.105). In the BATAP model, there was a statistically significant difference in the OS between the three groups of low risk, intermediate risk, and high risk (87.5% vs 61.1% vs 16.7%, χ2＝6.7, P=0.014). In the TMA index model, there was a statistically significant difference in the OS between the three groups of low risk, intermediate risk, and high risk (77.8% vs 45.5% vs 0.0%, χ2＝7.3, P=0.017). The area under the ROC curve (AUC) of the TMA index model was 0.745 (95%CI: 0.56-0.88, P<0.05), and the AUC of the BATAP model was 0.743 (95%CI: 0.56-0.88, P<0.05), indicating that both prognostic risk models have good predictive value.
Conclusion:
The short-term prognosis of TA-TMA patients might be accurately determined using both the BATAP model and the TMA index model. When predicting the efficacy of TA-TMA in different risk groups, the TMA index model may perform better than the BATAP model.
