1.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.
2.Influence factors and predictors on infantile epileptic spasms syndrome treatment response after adrenocorticotropic hormone
Dan-Dan MAO ; Ping LIU ; Wen-Guang HU ; Si-Xiu LI ; Ming-Ping LAN ; Fan YANG
Medical Journal of Chinese People's Liberation Army 2024;49(8):868-875
Objective To explore the influence factors and predictors of treatment response after adrenocorticotropic hormone(ACTH)in infantile epileptic spasms syndrome(IESS).Methods A retrospective analysis was conducted on 80 cases of IESS infants(50 males and 30 females)who were diagnosed and treated with ACTH in Chengdu Women's and Children's Central Hospital from January 2016 to December 2020.Patients were divided into effective group(n=39)and ineffective group(n=41)based on their response of ACTH treatment after 28 days,and their clinical data including the patients'basic information,etiology,treatment programmer,per-and post-treatment Kramer scores of electroencephalogram(EEG)hypsarrhythmia severity and so on,were collected to compare and analyze between the two groups.A modified Poisson regression model was constructed to discover predictors of outcome,and the receiver operating characteristic(ROC)curves were used to assess the prognosis evaluation of the positive predictive value.Results The ages at seizure onset ranged from one month and seven days to one year and nine months.Seizure types included simple epileptic spasms in 66 cases and combined with other types(focal and secondarily generalized seizures)in 14 cases.Thirty-two cases had been given anti-seizure medications(ASMs)before ACTH treatment.The median Kramer scores per-treatment and at 14 days post-treatment were 10.0(8.3,12.0)and 6.0(4.0,7.0),respectively.After ACTH treatment,39(48.8%)cases were effective.Compared with the effective group,the ineffective group had significantly higher proportion of abnormal perinatal conditions,unknown aetiology with normal development,ASMs given before ACTH treatment,the dosages of ACTH greater than 2 U/(kg·d),combinations of two or more ASMs,poor control,and still seizure attack after ACTH treatment of 14 days(P<0.05).Additionally,the Kramer scores after ACTH treatment of 14 days in the ineffective group were also significantly higher(P<0.05).The modified Poisson regression model showed that there were significant statistic differences between the two groups on ASMs given before ACTH treatment(RR=0.546,95%CI 0.357-0.833,P=0.005)and Kramer scores of hypsarrhythmia severity(RR=0.701,95%CI 0.620-0.792,P<0.001),while there were no significant differences between the two groups in term of ages,gender,perinatal conditions,etiologies,seizure types,Kramer scores before treatment,time lag between onset and treatment,duration of ACTH treatment,kinds of ASMs combination.ROC curve analysis showed that only Kramer scores at 14 days after ACTH treatment could predict the treatment response with sensitivity and specificity of 92.7%and 84.6%,respectively,with Youden index of 0.773.The area under the ROC curve was 0.930(95%CI 0.873-0.987,P<0.001)and the cut-point of the score was 6,indicating that the higher the Kramer scores at 14 days after ACTH treatment,the worse the treatment response.The treatment response rate would reduce by about 30.0%if the Kramer score increased by one point.Conclusion ASMs given before ACTH treatment may influence the treatment response.Kramer scores greater than 6 at day 14 after ACTH treatment may be used as a predictor of treatment response after ACTH in IESS patients.
3.Construction and validation of an in-hospital mortality risk prediction model for patients receiving VA-ECMO:a retrospective multi-center case-control study
Yue GE ; Jianwei LI ; Hongkai LIANG ; Liusheng HOU ; Liuer ZUO ; Zhen CHEN ; Jianhai LU ; Xin ZHAO ; Jingyi LIANG ; Lan PENG ; Jingna BAO ; Jiaxin DUAN ; Li LIU ; Keqing MAO ; Zhenhua ZENG ; Hongbin HU ; Zhongqing CHEN
Journal of Southern Medical University 2024;44(3):491-498
Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.
4.Moxifloxacin treatment for Mycoplasma hominis meningitis in an extremely preterm infant
Wei-Ying MAO ; Jiang-Er LAN ; Ming-Yu GAN ; Xun-Jie ZHANG ; Hui YU ; Li-Yuan HU ; Rong ZHANG ; Yun CAO ; Mi-Li XIAO
Chinese Journal of Contemporary Pediatrics 2024;26(4):432-436
The patient,a male newborn,was admitted to the hospital 2 hours after birth due to prematurity(gestational age 27+5 weeks)and respiratory distress occurring 2 hours postnatally.After admission,the infant developed fever and elevated C-reactive protein levels.On the fourth day after birth,metagenomic next-generation sequencing of cerebrospinal fluid indicated a positive result for Mycoplasma hominis(9 898 reads).On the eighth day,a retest of cerebrospinal fluid metagenomics confirmed Mycoplasma hominis(56 806 reads).The diagnosis of purulent meningitis caused by Mycoplasma hominis was established,and the antibiotic treatment was switched to moxifloxacin[5 mg/(kg·day)]administered intravenously for a total of 4 weeks.After treatment,the patient's cerebrospinal fluid tests returned to normal,and he was discharged as cured on the 76th day after birth.This article focuses on the diagnosis and treatment of neonatal Mycoplasma hominis purulent meningitis,introducing the multidisciplinary diagnosis and treatment of the condition in extremely preterm infants.[Chinese Journal of Contemporary Pediatrics,2024,26(4):432-436]
5.Construction and validation of an in-hospital mortality risk prediction model for patients receiving VA-ECMO:a retrospective multi-center case-control study
Yue GE ; Jianwei LI ; Hongkai LIANG ; Liusheng HOU ; Liuer ZUO ; Zhen CHEN ; Jianhai LU ; Xin ZHAO ; Jingyi LIANG ; Lan PENG ; Jingna BAO ; Jiaxin DUAN ; Li LIU ; Keqing MAO ; Zhenhua ZENG ; Hongbin HU ; Zhongqing CHEN
Journal of Southern Medical University 2024;44(3):491-498
Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.
6.Study on the protective effect and mechanism of Zhilong Huoxue Tongyu Capsule on myocardial ischemia reperfusion injury mice based on serum metabolomics
Mengnan LIU ; Linshen MAO ; Hao WU ; Yuan ZOU ; Qi LAN ; Jinyi XUE ; Ping LIU ; Sijin YANG ; Zhongjing HU
Journal of Beijing University of Traditional Chinese Medicine 2024;47(4):523-531
Objective To observe the protective effect of Zhilong Huoxue Tongyu Capsule(Zhilong Capsule)on myocardial ischemia reperfusion injury(MIRI)in mice,and explore its regulatory mechanism using metabolomics.Methods Using a random number table method,30 C57BL/6J mice were randomly divided into the following three groups:sham operation group,model group,and Zhilong Capsule group(6.24 g/kg),with 10 mice in each group.In mice in the model group and the Zhilong Capsule group,a mouse MIRI model was established by ligating the left anterior descending branch,while mice in the sham operation group underwent threading without ligation.The Zhilong Capsule group began modeling one week after pre-administration and continued to receive intragastric administration for two weeks after modeling once daily.The cardiac function,including the left ventricular ejection fraction(LVEF)and left ventricular fraction shortening(LVFS),was assessed by color echocardiography.The myocardial fibrosis and apoptosis were observed by Masson staining and TUNEL staining,respectively.Enzyme-linked immunosorbent assay was used to measure the serum contents of lactate dehydrogenase(LDH)and brain natriuretic peptide(BNP).Liquid chromatography-mass spectrometry combined with multivariate statistical method was performed for serum metabolite detection and identification analysis.Results Compared with the model group,the mice in the Zhilong Capsule group exhibited an increase in LVEF and LVFS,a reduction in cardiac tissue structure disorder,a decrease in myocardial fibrosis,a decrease in cell apoptosis rate,and a decrease in serum LDH and BNP contents(P<0.05).Metabolomics result showed that intervention with Zhilong Capsule significantly regulated 30 differential metabolites related to MIRI.Important metabolic pathways involved 20 pathways related to tyrosine metabolism,arginine and proline metabolism,and vitamin digestion and absorption.Conclusion Zhilong Capsule has a protective effect on MIRI,and it may achieve this effect by regulating pathways related to tyrosine metabolism,arginine and proline metabolism,and vitamin digestion and absorption.
7.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.
8.Clinical analysis of 379 patients of coronavirus disease 2019 (COVID-19) in Chengdu
Zhu CHEN ; Yi MAO ; Ting CHEN ; Zhaoxia HU ; Lijuan LAN ; Dafeng LIU ; Jiafu WEI ; Jiachuan WANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2021;28(04):388-395
Objective To analyze the clinical features and prognosis of coronavirus disease 2019 (COVID-19) patients. Methods A total of 379 confirmed COVID-19 patients admitted to Public Health Clinical Center of Chengdu from January 16 to November 30, 2020 were divided into two groups including an elderly group (42 patients, ≥60 years) and a non-elderly group (337 patients, <60 years) by age. The epidemiology, clinical features, laboratory tests, treatment and prognosis of the two groups were compared. Results Among the 379 patients, 286 (75.5%) were males and 93 (24.5%) were females, aged from 2 months to 87 years, with an average age of 41.2 years. The average age of the elderly group was 69.5 years, and 61.9% of them were females. They were imported from Wuhan or local secondary patients (73.8%), mainly common or critical type (88.1%). While, the average age of the non-elderly group was 37.8 years, and males were more common (80.1%). There were mostly from foreign input (75.7%), mainly mild or ordinary type (95.0%). A total of 179 patients (47.2%) had one or more underlying diseases. Hypertension (15 patients, 35.7%) and diabetes (11 patients, 26.2%) were more common in the elderly group, while non-alcoholic steatohepatitis (132 patients, 39.2%) was more frequent in the non-elderly group. The most common clinical manifestations were fever (138 patients, 36.4%) and cough (129 patients, 34.0%). Fever, cough, dyspnea, and fatigue were more common in the elderly group than those in the non-elderly group (P<0.05). Compared with the non-elderly group, the elderly group had lower total lymphocyte count, CD4+ and CD8+ T-cell count, higher level of myocardial injury or inflammation markers (P<0.05). Abnormal echocardiography in 139 patients (36.7%) was mainly caused by decreased left ventricular diastolic function (22.7%) and heart valve regurgitation (14.0%), and the rate in the elderly group was significantly higher than that in the non-elderly group (85.7% vs. 30.6%, P<0.05). After treatment, 3 patients in the elderly group died, and the others were cured and discharged. The hospitalization duration of the elderly group was longer than that of the non-elderly group (22.1 d vs. 18.8 d, P=0.033). Conclusions Elderly COVID-19 patients are mainly imported from Wuhan or secondary to the local population, mainly common or critical type, often associated with basic diseases such as hypertension or diabetes. While, non-elderly COVID-19 patients are mainly imported from abroad, mainly mild or common type, often associated with non-alcoholic steatohepatitis. After treatment, most of the patients have a good prognosis.
9.Inhibitory Effects of Ligustrazine Plus Emodin on Expression of VEGF-related Factors in Ascites Carcinoma Walker-256 Cells
Ying-lan MAO ; Mei ZHAO ; Na HU ; Jiao-yan YU ; Wei JIANG
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(19):80-87
Objective:To investigate the effects of ligustrazine combined with emodin on angiogenesis of ascites carcinoma Walker-256 cells by observing their inhibition against nuclear factor-
10.The prognostic impact of diabetic mellitus and hyperglycemia during DLBCL treatment on patients with diffuse large B-cell lymphoma
Yang HU ; Yanjie XU ; Mengzhen LI ; Yingxia LAN ; Lei MAO ; Qiaoyang NING ; Wen XU ; Hongliang YANG ; Yizhuo ZHANG
Chinese Journal of Hematology 2021;42(2):151-157
Objective:This study aims to investigate the clinical features and prognostic factors of patients with diffuse large B-cell lymphoma (DLBCL) and assess the prognostic value of diabetes mellitus (DM) and hyperglycemia during DLBCL treatment in DLBCL.Methods:The clinical data of 481 newly diagnosed DLBCL patients from January 1, 2009 to December 31, 2019 at Tianjin Medical University Cancer Institute and Hospital and Sun Yat-sen University Cancer Center were retrospectively collected, focusing on their blood glucose levels before and during treatment. Cox regression method was used for univariate analysis to assess prognostic factors, and the Kaplan-Meier method was used to draw survival curves to assess the prognostic value of DM and hyperglycemia during DLBCL treatment in patients with DLBCL.Results:Eighty-two (17.0%) patients had DM before DLBCL diagnosis and treatment, and 88 (18.3%) patients had at least one blood glucose increase during DLBCL treatment. Cox univariate analysis showed that age, Ann Arbor stage, international prognostic index, and DM were associated with overall survival (OS) and progression-free survival (PFS) (all P<0.05) . The pairwise comparison between the two groups showed that the OS ( P=0.001) and PFS ( P<0.001) of patients with pre-existing DM were significantly worse than those of patients without abnormal blood glucose. Moreover, the OS ( P=0.003) and PFS ( P<0.001) of patients with hyperglycemia during DLBCL treatment were significantly worse than those of patients without abnormal blood glucose. No significant difference exists between patients with DM and patients with hyperglycemia during DLBCL treatment (OS, P=0.557; PFS, P=0.463) . Additionally, patients with adequate glycemic control during chemotherapy had a better prognosis compared with patients with poor glycemic control (OS, P=0.037; PFS, P=0.007) . Conclusion:DM is an important factor affecting the prognosis of patients with DLBCL. Moreover, hyperglycemia during treatment is related to the poor prognosis of patients with DLBCL.

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