1.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
2.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
3.Effect and underlying mechanism of glutamine on radiosensitivity of colon cancer cells
Heng LU ; Xiangmin NI ; Shengcai YU ; Xinyu LIANG ; Wenyi ZHU ; Zhongjun LI ; Jian WANG
Journal of Army Medical University 2024;46(9):1007-1014
Objective To observe the effect of different concentrations of glutamine(Gln)on the radiosensitivity of colorectal cancer HT-29 cells and explore the possible mechanism.Methods According to different Gln concentrations,HT-29 cells at logarithmical growth were divided into control group(2 mmol/L,as the basal medium concentration group)and experimental groups Ⅰ,Ⅱ and Ⅲ(4,6 and 8 mmol/L).After a 2-hour pre-treatment,all groups were exposed to 8 Gy irradiation of a Co-60 radiation source.CCK-8 assay and clonal formation assay were used respectively to explore the effects of different Gln concentrations on cell viability and cell radiosensitivity after irradiation.The level of reactive oxygen species(ROS)in each group was measured in 24 h after irradiation,and the apoptotic rate was detected with flow cytometry in 48 h after irradiation.The protein expression levels of Nrf2,HO-1,and cleaved-Caspase3 were determined by Western blotting.Results In 24 h after Gln intervention,the cell viability of experimental groups Ⅱ and Ⅲof non-irradiated HT-29 cells was significantly higher than that of the control group and of experimental group Ⅰ(P<0.05).In 24 h after radiation,the cell viability of each experimental group was significantly higher than that of the control group(P<0.05).In 14 d after radiation,there were more clone formation in each experimental group than the control group(P<0.05).The ROS level was significantly lower in each experimental group than the control group in 24 h after radiation(P<0.05).After 48 h of radiation,the apoptotic rate was notably lower in each experimental group than the control group(P<0.05).The expression level of Nrf2 in the experimental group Ⅰ was higher than that of the control group(P<0.05),those of Nrf2 and HO-1 in the experimental groups Ⅱ and Ⅲ were higher than those of the control group and experimental group Ⅰ(P<0.05).While the expression of cleaved-Caspase3 in the experimental groups Ⅱ and Ⅲ was lower than the control group and experimental group Ⅰ(P<0.05),and it in the experimental group Ⅲ was lower than that of experimental group Ⅱ(P<0.05).Conclusion Gln can significantly reduce the radiosensitivity of HT-29 cells,which is associated with its reducing oxidative stress damage and reducing cell apoptosis.Our results suggest that Gln might be detrimental to radiation therapy in patients with colorectal cancer.
4.Relationship between latent classes of recurrence risk perception and health behaviors in ischemic stroke patients
Xiangmin WANG ; Xiaomei ZHANG ; Xiaohang DONG ; Xiyi TAN ; Qinger LIN ; Hongzhen ZHOU
Chinese Journal of Modern Nursing 2024;30(16):2180-2188
Objective:To explore the latent classes of recurrence risk perception in ischemic stroke patients and their relationship with health behaviors.Methods:Convenience sampling was used to select 312 patients with ischemic stroke from two ClassⅢ Grade A hospitals of Guangzhou from December 2022 to June 2023 as the research subject. Before discharge, the General Information Questionnaire, Recurrence Risk Perception Scale for Patients with Stroke, and Health Behavior Scale for Stroke Patients were used for investigation. One month later, the Health Behavior Scale for Stroke Patients was used for follow-up. Latent class analysis and multiple Logistic regression analysis were used to explore the latent classes of recurrence risk perception and their influencing factors, while multiple linear regression was used to analyze the relationship between latent classes of recurrence risk perception and health behavior at 1-month follow-up.Results:A total of 312 questionnaires were distributed, and 302 valid questionnaires were collected, with an effective response rate of 96.79%. One month later, 261 study subjects completed follow-up. The recurrence risk perception in ischemic stroke patients were divided into four classes of overall low perceived accuracy, light consequence-heavy disease-moderate perceived accuracy, heavy self-care-light diet-upper moderate perceived accuracy, and overall high perceived accuracy. Age, educational level, place of residence and monthly average income were influencing factors for different latent classes ( P<0.05). Compared with patients with overall low perceived accuracy, patients with heavy self-care-light diet-upper moderate perceived accuracy, as well as those with overall high perceived accuracy, showed better health behavior after discharge, with a statistically significant difference ( P<0.05) . Conclusions:Medical and nursing staff should provide targeted nursing interventions based on the common characteristics and individual differences of different classes of patients, helping patients correctly perceive the recurrence risk, improve health behavior, and prevent stroke recurrence.
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.User persona application in the field of cancer basing on online health community: a scoping review
Yuting LIN ; Zhumei SHAO ; Meimei SHANG ; Qian WANG ; Rong YAN ; Min DING ; Xiangmin MENG
Chinese Journal of Practical Nursing 2023;39(11):871-876
Objective:To summarize the research on the application of online health community-based user personain the field of cancer at home and abroad, so as to provide reference for the related research and application in this field in the future.Methods:Computer search of CNKI, China biomedical literature database, VIP, Wanfang, Web of Science, Embase, MEDLINE, PubMed, CINAHL, Cochrane Library, a total of 10 Chinese and English databases, focused on the relevant research on building user personas based on online health communities in the field of cancer, and the search time limit was from the establishment of the database to April 20, 2022. Literature was screened, data extracted and summarized.Results:Totally 11 literatures were included. The construction process of user persona based on online health community included data collection, tag extraction and persona presentation. The functional diversity and implementation feasibility were showed in the application content in the field of cancer. It can quickly identify the differences in health information needs of cancer patients, provide personalized decision support and nursing services, strengthen health information education, and improve patients′ self-management ability.Conclusions:The integration of user persona and cancer field based on online health community was in the initial exploration stage, and the feasibility and effectiveness of promoting patients′ health behavior were confirmed by existing studies. In the future, it is still necessary to be promoted in the empirical research on its application in clinical practice, so as to lay a foundation for providing targeted patient health management programs in the future.
7.Chinese expert consensus on emergency surgery for severe trauma and infection prevention during corona virus disease 2019 epidemic (version 2023)
Yang LI ; Yuchang WANG ; Haiwen PENG ; Xijie DONG ; Guodong LIU ; Wei WANG ; Hong YAN ; Fan YANG ; Ding LIU ; Huidan JING ; Yu XIE ; Manli TANG ; Xian CHEN ; Wei GAO ; Qingshan GUO ; Zhaohui TANG ; Hao TANG ; Bingling HE ; Qingxiang MAO ; Zhen WANG ; Xiangjun BAI ; Daqing CHEN ; Haiming CHEN ; Min DAO ; Dingyuan DU ; Haoyu FENG ; Ke FENG ; Xiang GAO ; Wubing HE ; Peiyang HU ; Xi HU ; Gang HUANG ; Guangbin HUANG ; Wei JIANG ; Hongxu JIN ; Laifa KONG ; He LI ; Lianxin LI ; Xiangmin LI ; Xinzhi LI ; Yifei LI ; Zilong LI ; Huimin LIU ; Changjian LIU ; Xiaogang MA ; Chunqiu PAN ; Xiaohua PAN ; Lei PENG ; Jifu QU ; Qiangui REN ; Xiguang SANG ; Biao SHAO ; Yin SHEN ; Mingwei SUN ; Fang WANG ; Juan WANG ; Jun WANG ; Wenlou WANG ; Zhihua WANG ; Xu WU ; Renju XIAO ; Yang XIE ; Feng XU ; Xinwen YANG ; Yuetao YANG ; Yongkun YAO ; Changlin YIN ; Yigang YU ; Ke ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Gang ZHAO ; Xiaogang ZHAO ; Xiaosong ZHU ; Yan′an ZHU ; Changju ZHU ; Zhanfei LI ; Lianyang ZHANG
Chinese Journal of Trauma 2023;39(2):97-106
During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.
8.A Meta-synthesis of qualitative studies of treatment experiences in cancer patients receiving immune checkpoint inhibitors therapy
Xiangmin MENG ; Meimei SHANG ; Qian WANG ; Rong YAN ; Kai JIANG ; Wenhui LIU ; Junai XIANG ; Yuting LIN ; Min DING
Chinese Journal of Practical Nursing 2023;39(32):2553-2561
Objective:To synthesize the findings of qualitative research on the treatment experience of cancer patients receiving immune checkpoint inhibitors therapy to provide a basis for developing relevant health education strategies and other supportive care interventions.Methods:Qualitative research on the treatment experience of cancer patients receiving immune checkpoint inhibitors therapy, published by May 2022, were searched in English and Chinese databases, including Cochrane Library, PubMed, Embase, PsycINFO, CINAHL, Web of Science, CNKI, Wanfang, VIP, and CBM. The quality of the included studies was evaluated by Joanna Briggs Institute Critical Appraisal Tool for qualitative studies. The research results were summarized and Meta-synthesis using the pooled integration method.Results:A total of 13 articles were included and 62 findings were grouped into 12 new categories according to their similarities. These 12 categories resulted in 4 synthesized findings: life was affected, facing multiple decision scenarios, presence of some unmet needs and gaining positive experiences and personal growth.Conclusions:Although patients experience some positive experiences, a large proportion of them experience significant health distress. Healthcare professionals should develop targeted health education with supportive care strategies on the basis of a comprehensive assessment.
9.Systematic review of elderly-oriented home environment assessment tool
Yafei WANG ; Feng LIU ; Yun LIU ; Xiangmin LI ; Xin LI ; Ning PAN ; Min TIAN ; Dongmei XU
Chinese Journal of Modern Nursing 2023;29(28):3790-3796
Objective:To systematically evaluate domestic and foreign elderly-oriented home environment assessment tools, so as to provide a basis for selecting appropriate elderly-oriented home environment assessment tool.Methods:The literatures on elderly-oriented home environment assessment tools in PubMed, Embase, Web of Science, China Biology Medicine disc, CNKI, Wanfang Database and VIP database were searched by computer. The search period was from establishment of the database to March 31, 2022. The methodological quality of elderly-oriented home environment assessment tools included in the literature was evaluated using consensus-based standards for the selection of health measurement instruments (COSMIN) .Results:A total of 21 articles were included, including 12 elderly-oriented home environment assessment tools. As assessed by COSMIN, The Home Falls and Accidents Screening Tool (HOME FAST) and Home Fall Hazards Assessments (HFHA) had high reliability assessments and relatively good assessment results.Conclusions:Most elderly-oriented home environment assessment tools are self rating questionnaires, with varying quality. In the future, it is necessary to develop a elderly-oriented home environment assessment tool that is suitable for national conditions of China and has good reliability and validity.
10.Value of lymphocyte subsets in assessing the prognosis of adult hemophagocytic syndrome
Ziyuan SHEN ; Chenlu HE ; Ying WANG ; Qian SUN ; Qinhua LIU ; Ruixiang XIA ; Hao ZHANG ; Yuqing MIAO ; Hao XU ; Weiying GU ; Chunling WANG ; Yuye SHI ; Jingjing YE ; Chunyan JI ; Taigang ZHU ; Dongmei YAN ; Wei SANG ; Kailin XU ; Shuiping HUANG ; Xiangmin WANG
Chinese Journal of Laboratory Medicine 2022;45(9):914-920
Objective:To explore the prognostic value of lymphocyte subsets in adult hemophagocytic syndrome (HPS).Methods:A total of 172 adult HPS patients diagnosed in 8 medical centers from January 2013 to August 2020 were selected for the study, of whom 87 were male (50.6%, 87/172), and 85 were female (49.4%, 85/172), with 68 survivors and 104 deaths. The clinical data were summarized, and variables such as lymphocyte subsets, immunoglobulin characteristics and fibrinogen were retrospectively analyzed, and the correlation between the mentioned variables and patient prognosis was analyzed. The optimal cut-off values of continuous variables were calculated by MaxStat, and the prognostic factors of HPS patients were screened based on the Cox proportional hazard regression model.Results:The median age of HPS patients was 56 (42, 66) years old, and the 5-year cumulative survival rate was 37.4% (37.4/100). The median age, platelet and albumin were 48 (27, 63) years, 84×10 9/L and 32.3 g/L in the survival group, and 59 years, 45.5×10 9/L, and 27.3 g/L in the death group, respectively. The differences between the two groups was statistically significant ( Z=?3.368, P=0.001; Z=?3.156, P=0.002; Z=?3.431, P=0.001). Patients with differentiated cluster 8+(CD8+)<11.1%, CD3+<64.9%, CD4+>51%, and CD4/CD8 ratio>2.18 had poor prognosis (χ 2=7.498, P=0.023; χ 2=4.169, P=0.041; χ 2=4.316, P=0.038; χ 2=9.372, P=0.002). Multivariable analysis showed that CD4/CD8 ratio, age, fibrinogen and hemoglobin were independent prognostic factors in HPS patients ( HR=2.435, P=0.027; HR=5.790, P<0.001; HR=0.432, P=0.018; HR=0.427, P=0.018). Conclusion:Peripheral blood lymphocyte subsets can be used to evaluate the prognosis of patients with HPS; CD4/CD8 ratio, age, fibrinogen, and hemoglobin are independent prognostic factors in HPS patients.

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