Yunfei Wei1,2, Qingqing Yang2, Qixiong Qin1, Ya Chen1, Xuemei Quan1, Jing Wei3, Liyuan Zhou4, Dacheng Wang5, Haihong Li6, Guohui Li7, Shengyu Li8, Zhijian Liang9. 1. Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. 2. Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China. 3. Department of Neurology, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China. 4. Department of Neurology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China. 5. Department of Neurology, The Ninth Affiliated Hospital of Guangxi Medical University, Beihai, China. 6. Department of Neurology, Fusui County People's Hospital, Chongzuo, China. 7. Department of Neurology, Wuzhou Red Cross Hospital, Wuzhou, China. 8. Department of Neurology, Wuming County People's Hospital, Nanning, China. 9. Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China, lzj200415@126.com.
Abstract
BACKGROUND: The occurrence of ischemic stroke in patients with non-Hodgkin lymphoma (NHL) is not well understood. This study aimed to determine independent risk factors to identity ischemic stroke in non-Hodgkin lymphoma-associated ischemic stroke (NHLAIS) patients. METHODS: This retrospective study was conducted on NHLAIS patients and age- and gender-matched NHL patients. We collected clinical data of patients in both groups and used multiple logistic regression analysis to identify independent risk factors for NHLAIS. A receiver operating characteristic (ROC) analysis was used to establish an identification model based on potential risk factors of NHLAIS. RESULTS: Sixty-three NHLAIS patients and 63 NHL patients were enrolled. Stage III/IV (58/63, 92.1%) and multiple arterial infarcts (44/63, 69.8%) were common among NHLAIS patients. Notably, NHLAIS patients had higher levels of serum fibrinogen (FIB), D-dimer, and ferritin (SF) and prolonged thromboplastin time and prothrombin time (PT) compared with NHL patients (all p < 0.05). Elevated FIB, D-dimer, and SF and prolonged PT were independent risk factors for NHLAIS. The area under the ROC curve of the identification model of NHLAIS patients was largest compared to that of other risk factors (0.838, 95% confidence interval: 0.759-0.899) (p < 0.05). CONCLUSION: This study reveals that elevated serum FIB, D-dimer, and SF and prolonged PT are potential independent risk factors of NHLAIS. The identification model established in this study may help monitor NHL patients who are at high risk of developing NHLAIS.
BACKGROUND: The occurrence of ischemic stroke in patients with non-Hodgkin lymphoma (NHL) is not well understood. This study aimed to determine independent risk factors to identity ischemic stroke in non-Hodgkin lymphoma-associated ischemic stroke (NHLAIS) patients. METHODS: This retrospective study was conducted on NHLAIS patients and age- and gender-matched NHL patients. We collected clinical data of patients in both groups and used multiple logistic regression analysis to identify independent risk factors for NHLAIS. A receiver operating characteristic (ROC) analysis was used to establish an identification model based on potential risk factors of NHLAIS. RESULTS: Sixty-three NHLAIS patients and 63 NHL patients were enrolled. Stage III/IV (58/63, 92.1%) and multiple arterial infarcts (44/63, 69.8%) were common among NHLAIS patients. Notably, NHLAIS patients had higher levels of serum fibrinogen (FIB), D-dimer, and ferritin (SF) and prolonged thromboplastin time and prothrombin time (PT) compared with NHL patients (all p < 0.05). Elevated FIB, D-dimer, and SF and prolonged PT were independent risk factors for NHLAIS. The area under the ROC curve of the identification model of NHLAIS patients was largest compared to that of other risk factors (0.838, 95% confidence interval: 0.759-0.899) (p < 0.05). CONCLUSION: This study reveals that elevated serum FIB, D-dimer, and SF and prolonged PT are potential independent risk factors of NHLAIS. The identification model established in this study may help monitor NHL patients who are at high risk of developing NHLAIS.