A prognostic model (BATAP) with external validation for patients with transplant-associated thrombotic microangiopathy

Autor: Huan Chen, Wei Han, Shan Chong, Xiao Liu, Qiu-Sha Huang, Lan-Ping Xu, Jing-Zhi Wang, Xiao-Hui Zhang, Yun He, Qingyuan Qu, Xiang-Yu Zhao, Yu Wang, Ye-Jun Wu, Xiao-Lu Zhu, Xiao-Wan Sun, Xiao-Dong Mo, Xiao-Jun Huang, Rui-Xin Deng, Yuan-Yuan Zhang, Feng-Rong Wang, Yu-Hong Chen, Kai-Yan Liu, Ying-Jun Chang, Peng Zhao
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Blood Advances
ISSN: 2473-9537
2473-9529
Popis: Key Points A risk score model (BATAP) was established to facilitate the prognostic stratification of patients with TA-TMA following allo-HSCT.The BATAP prognostic model showed robust predictive capacity through internal and external temporal validation.
Visual Abstract
Transplant-associated thrombotic microangiopathy (TA-TMA) is a potentially life-threatening complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT). Information on markers for early prognostication remains limited, and no predictive tools for TA-TMA are available. We attempted to develop and validate a prognostic model for TA-TMA. A total of 507 patients who developed TA-TMA following allo-HSCT were retrospectively identified and separated into a derivation cohort and a validation cohort, according to the time of transplantation, to perform external temporal validation. Patient age (odds ratio [OR], 2.371; 95% confidence interval [CI], 1.264-4.445), anemia (OR, 2.836; 95% CI, 1.566-5.138), severe thrombocytopenia (OR, 3.871; 95% CI, 2.156-6.950), elevated total bilirubin (OR, 2.716; 95% CI, 1.489-4.955), and proteinuria (OR, 2.289; 95% CI, 1.257-4.168) were identified as independent prognostic factors for the 6-month outcome of TA-TMA. A risk score model termed BATAP (Bilirubin, Age, Thrombocytopenia, Anemia, Proteinuria) was constructed according to the regression coefficients. The validated c-statistic was 0.816 (95%, CI, 0.766-0.867) and 0.756 (95% CI, 0.696-0.817) for the internal and external validation, respectively. Calibration plots indicated that the model-predicted probabilities correlated well with the actual observed frequencies. This predictive model may facilitate the prognostication of TA-TMA and contribute to the early identification of high-risk patients.
Databáze: OpenAIRE