PDF(Pubmed)
Abstract：
UNASSIGNED: There have been no reports about the application of random survival forest (RSF) model to predict disease progression of HIV-associated B-cell lymphoma.
UNASSIGNED: A total of 44 patients with HIV-associated B-cell lymphoma who were referred to Nanjing Second Hospital from 2012 to 2019 were included. The RSF model was used to find predictors of survival, and the results of the RSF model were compared with those of the Cox model. The data were analyzed using R software (version 4.1.1).
UNASSIGNED: One-, 2-, and 3-year survival rates were 74.5%, 57.7%, and 48.6%, respectively, and the median survival was 59.0 months. The first 3 most important predictors of survival included lactate dehydrogenase (LDH), absolute monocyte count (AMC), and white blood cells (WBCs) count. The median survival of high-risk patients was only 4.0 months. Areas under the curve (AUCs) of the RSF model remained at more than 0.90 at 1, 2, and 3 years. The RSF model displayed a lower prediction error rate (21.9%) than the Cox model (25.4%).
UNASSIGNED: Lactate dehydrogenase, AMC, and WBCs count are the most important prognostic predictors for patients with HIV-associated B-cell lymphoma. Much larger prospective and/or multicentre studies are required to validtae this RSF model.
UNASSIGNED: A total of 44 patients with HIV-associated B-cell lymphoma who were referred to Nanjing Second Hospital from 2012 to 2019 were included. The RSF model was used to find predictors of survival, and the results of the RSF model were compared with those of the Cox model. The data were analyzed using R software (version 4.1.1).
UNASSIGNED: One-, 2-, and 3-year survival rates were 74.5%, 57.7%, and 48.6%, respectively, and the median survival was 59.0 months. The first 3 most important predictors of survival included lactate dehydrogenase (LDH), absolute monocyte count (AMC), and white blood cells (WBCs) count. The median survival of high-risk patients was only 4.0 months. Areas under the curve (AUCs) of the RSF model remained at more than 0.90 at 1, 2, and 3 years. The RSF model displayed a lower prediction error rate (21.9%) than the Cox model (25.4%).
UNASSIGNED: Lactate dehydrogenase, AMC, and WBCs count are the most important prognostic predictors for patients with HIV-associated B-cell lymphoma. Much larger prospective and/or multicentre studies are required to validtae this RSF model.
摘要：
■尚无关于应用随机生存森林（RSF）模型预测HIV相关B细胞淋巴瘤的疾病进展的报道。
■纳入2012-2019年南京市第二医院收治的44例HIV相关B细胞淋巴瘤患者。RSF模型被用来寻找生存的预测因子，并将RSF模型的结果与Cox模型的结果进行了比较。使用R软件(4.1.1版)分析数据。
■一个-，2-,3年生存率为74.5%,57.7%,48.6%,分别,中位生存期为59.0个月.前三个最重要的生存预测因子包括乳酸脱氢酶（LDH），绝对单核细胞计数（AMC），和白细胞（WBC）计数。高危患者的中位生存期仅为4.0个月。RSF模型的曲线下面积(AUC)在1年、2年和3年保持在0.90以上。RSF模型显示出比Cox模型（25.4%）更低的预测错误率（21.9%）。
■乳酸脱氢酶，AMC,WBC计数是HIV相关B细胞淋巴瘤患者最重要的预后预测因子。需要更大的前瞻性和/或多中心研究来验证此RSF模型。
■纳入2012-2019年南京市第二医院收治的44例HIV相关B细胞淋巴瘤患者。RSF模型被用来寻找生存的预测因子，并将RSF模型的结果与Cox模型的结果进行了比较。使用R软件(4.1.1版)分析数据。
■一个-，2-,3年生存率为74.5%,57.7%,48.6%,分别,中位生存期为59.0个月.前三个最重要的生存预测因子包括乳酸脱氢酶（LDH），绝对单核细胞计数（AMC），和白细胞（WBC）计数。高危患者的中位生存期仅为4.0个月。RSF模型的曲线下面积(AUC)在1年、2年和3年保持在0.90以上。RSF模型显示出比Cox模型（25.4%）更低的预测错误率（21.9%）。
■乳酸脱氢酶，AMC,WBC计数是HIV相关B细胞淋巴瘤患者最重要的预后预测因子。需要更大的前瞻性和/或多中心研究来验证此RSF模型。
