TBH score: a new model to predict and prevent severe liver damage after chemotherapy for cancer patients
Autor: | Sheng Ye, Yu Feng Ren, Mengchao Wei, Wei Chen, Mengping Zhang, Zhenwei Peng, Hui Pang, Yong Bao, Jie Mei, Shunjun Fu |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Chemotherapy medicine.medical_specialty business.industry medicine.medical_treatment Incidence (epidemiology) External validation Cancer medicine.disease 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Risk groups Oncology 030220 oncology & carcinogenesis Internal medicine Medicine Clinical significance Liver damage business Body mass index |
Zdroj: | Cancer Management and Research. 11:6443-6456 |
ISSN: | 1179-1322 |
Popis: | Purpose To explore a quantitative predictive model for the risk of chemotherapy-induced severe liver damage (CISLD). Materials and methods In total, 3870 consecutive cancer patients initially treated with chemotherapy were retrospectively collected and randomly assigned to a training (n=2580) or internal validation (n=1290) set in a 2:1 ratio to construct and validate the model. Additional external validation was performed using another data set (n=413). A total of 486 patients were prospectively enrolled to assess the clinical significance of the model. CISLD was defined as grade ≥3 hepatotoxicity. Results CISLD was found in 255 (9.9%), 128 (9.9%) and 36 (8.7%) patients in the training, internal and external validation sets, respectively. Serum triglyceride, body mass index and history of hypertension formed the basis of the score model. Patients could be stratified into low, intermediate and high-risk groups with 30% CISLD occurrence, respectively. This model displayed a concordance index (C-index) of 0.834 and was validated in both the internal (C-index, 0.830) and external (C-index, 0.817) sets. The incidence of CISLD was significantly reduced in those who received preventive hepatoprotective drugs compared to those who did not among patients assessed as the intermediate risk group (8.9% vs 17.5%, p=0.042) and the high risk group (15.6% vs 55.8%, p=0.043). Conclusions The new score model can be used to accurately predict the risk of CISLD in cancer patients undergoing chemotherapy. Clinically, this can be translated into a reference tool for oncologists in the clinical decision-making process before chemotherapy to provide appropriate prevention and interventions for patients with a high risk of CISLD. |
Databáze: | OpenAIRE |
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