1.Distribution of urinary tract pathogens and susceptibility to nenofloxacin and levofolxacin in patients with community-acquired urinary tract infection
Zhen DU ; Shan CHEN ; Liang CUI ; Huiling WU ; Zhan GAO ; Jin YANG ; Gang CUI ; Jiajing WANG ; Tiehuan SHU ; Ninghan FENG ; Ludong QIAO
Chinese Journal of Urology 2024;45(1):24-28
		                        		
		                        			
		                        			Objective:To investigate the distribution characteristics of urinary tract pathogens in patients with community-acquired urinary tract infection and their sensitivity to nenoxacin and levofloxacin.Methods:This prospective, multicenter clinical trial included patients with community-acquired urinary tract infection who were admitted to urological clinics at 9 clinical research centers from November 2021 to August 2022.Inclusion criteria: Patients aged 18-70 years with community-acquired acute uncomplicated cystitis(AUC), recurrent acute episodes of urinary tract infection(rUTI), and non-febrile complicated urinary tract infection(cUTI) with signs of urinary tract irritation and abnormal elevation of routine white blood cells in urine. Exclusion criteria: ①Patients who received effective antimicrobial therapy within 72 h before enrollment and lasted for more than 24 h. ②Fever (>37.3℃) or symptoms of upper urinary tract infection such as low back pain, tapping pain in the kidney area, etc. ③Indwelling urinary catheter. At the first visit, clean midstream urine samples were taken for bacterial culture, and the distribution characteristics of urinary pathogens of different types of urinary tract infections were analyzed. Extended spectrum β-lactamases (ESBLs) were measured for Gram-negative bacteria. The susceptibility of nenoxacin and levofloxacin to urinary tract pathogens was determined by disk diffusion method. Drug resistance rate, sensitivity rate were analyzed between different disease groups.Results:There were 404 enrolled patients from 9 hospitals, including 364 (90.1%) females and 40 (9.9%) males. A total of 177 strains of pathogenic bacteria were isolated, among which the highest proportion of Escherichia coli was 66.1% (117/177).Klebsiella pneumoniae was followed by 6.8% (12/177) and Streptococcus agalactis 5.1% (9/177). The bacterial spectrum distribution of AUC and rUTI were similar, and the proportions of Escherichia coli were 70.6% (85/119) and 65.9% (29/44), respectively. However, the proportions of Escherichia coli isolated from cUTI patients were only 28.6% (4/14) and Enterococcus faecalis 7.1%(1/14). The overall detection rate of ESBLs in Gram-negative bacteria was 30.9%(43/139). The sensitivity rate of nenoxacin was 74.6%(91/122), and the resistance rate was 25.4%(31/122). The overall sensitivity rate of levofloxacin was 44.9%(70/156) and the resistance rate was 36.5%(57/156). The rate of resistance of urinary tract pathogens to levofloxacin was 48.2% (27/56) in patients with previous urinary tract infection history, and 30.0% (30/100) in patients with no previous urinary tract infection history, the difference was statistically significant( P=0.023).The sensitivity rate of Gram-negative bacteria to nenofloxacin was 70.7% (65/92) and that to levofloxacin was 50.0% (46/92, P<0.001). The sensitivity of Gram-positive bacteria to nenofloxacin was 80.0% (16/20), and that to levofloxacin was 70.0% (14/20, P=0.009). Conclusions:The bacterial profile of out-patient community acquired urinary tract infection varies greatly according to different diseases. The proportion of Escherichia coli in AUC and rUTI patients is higher than that in cUTI. The detection rate of ESBLs in Gram-negative bacteria was lower than the domestic average.Patients with a history of urinary tract infection had a high risk of treatment failure with levofloxacin. The sensitivity of common urinary tract pathogens to nenofloxacin was higher than levofloxacin.
		                        		
		                        		
		                        		
		                        	
2.Identification of chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and research on its material basis for attention deficit hyperactivity disorder
Xue-Jun LI ; Zhi-Yan JIANG ; Zhen XIAO ; Xiu-Feng CHEN ; Shu-Min WANG ; Yi-Xing ZHANG ; Wen-Yan PU
Chinese Traditional Patent Medicine 2024;46(2):490-498
		                        		
		                        			
		                        			AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.
		                        		
		                        		
		                        		
		                        	
3.Diagnostic value of vena contracta area measurement for grading tricuspid regurgitation severity under different etiologies:a three-dimensional echocardiography study
Bei-Qi CHEN ; Yu LIU ; Wu-Xu ZUO ; Quan LI ; Yuan-Feng WU ; De-Hong KONG ; Cui-Zhen PAN ; Li-Li DONG ; Xian-Hong SHU
Fudan University Journal of Medical Sciences 2024;51(4):484-493,504
		                        		
		                        			
		                        			Objective To explore the cut-off value of three dimensional(3D)vena contracta area(VCA)in diagnosing severe tricuspid regrugitation(TR)under different etiologies and its accuracy and practicality in clinical application.Methods From Mar 2019 to May 2021,ninety-two patients with confirmed TR underwent two dimensional(2D)and 3D transthoracic echocardiography.The correlation and consistency between 3D VCA 3D calculated based on the proximal isokinetic surface area(PISA)effective regurgitant orifice area(EROA)was calculated.Comprehensive 2D multi-parameter method was used as a reference method to calculate the cut-off value of the diagnosis of severe TR.Results A total of 85 patients were ultimately included.3D VCA and 3D PISA EROA had similar and acceptable correlations in both primary TR and secondary TR(primary TR:r=0.831,P<0.01;secondary TR:r=0.806,P<0.01).Bland-Altman analysis showed that 3D VCA overestimated TR compared with 3D PISA EROA(62%overestimated in the total patient population,51%overestimated in primary TR,and 74%overestimated in secondary TR).In secondary TR,the cut-off value of 3D VCA for diagnosing severe TR was 0.45 cm2(sensitivity 89%,specificity 82%);combining clinical symptoms,positive 2D PISA EROA results and 3D VCA results for severe TR,the chi-square value was higher than those only included clinical symptoms or incorporated clinical symptoms and positive 2D PISA EROA results(42.168 vs.26.059 and 16.759,P<0.01).Conclusion 3D VCA would overestimate TR,and had high and incremental diagnostic value for evaluating severe TR in secondary TR.
		                        		
		                        		
		                        		
		                        	
4.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.
		                        		
		                        		
		                        		
		                        	
5.Research progress on the association between lipoprotein(α)and mitral annulus calcification
Bin ZHANG ; Zhi-Qiang PEI ; Deng-Feng MA ; Jin QIU ; Qian REN ; Shu-Zhen ZHAO
Chinese Journal of Interventional Cardiology 2024;32(5):261-265
		                        		
		                        			
		                        			Mitral annular calcification(MAC)is an age-related,chronic,degenerative change in localized fibrous support structures,and current research suggests that it is a process similar to the active onset of atherosclerosis and aortic valve calcification,both of which are accompanied by the deposition of lipoprotein(α)[Lp(α)]and the formation of chronic inflammatory foci.Among them,Lp(α)is the hot spot of research.In recent years,the relationship between Lp(α)and aortic valve calcification has received extensive attention.A large number of studies have demonstrated that elevated Lp(α)and its associated oxidized phospholipids(OxPL)can promote aortic valve calcification and stenosis through multiple calcium-regulated pathways,but the pathophysiological process of MAC is much more complex and unclear,and there has been a preliminary exploration of the relationship between Lp(α)and MAC.To make the current relationship between the two clearer,and thus provide new possibilities for preventing or delaying MAC,the paper will review the three aspects of MAC,Lp(α),and the research progress between the two.
		                        		
		                        		
		                        		
		                        	
6.Exploration of index system for localized computer screening and diagnosis system for mild cognitive impairment in elderly population in somewhere of Chengdu
Gui ZHOU ; Dejun LUO ; Zhen ZENG ; Jiangcuo LUO ; Shu YAN ; Yongxue YANG ; Wen HE ; Lei FENG
Chongqing Medicine 2024;53(20):3150-3155
		                        		
		                        			
		                        			Objective To understand the prevalence status quo of mild cognitive impairment(MCI)in the elderly people by conducting the investigation on the elderly people in somewhere,and to explore the influ-encing factors of MCI in the elderly people to provide reference for constructing the MCI localized computer screening and diagnosis system in the elderly.Methods A multi-stage sampling method was used to deter-mine the survey population.The self-made questionnaires,mini mental state examination(MMSE),geriatric depression screening scale(GDS-15),geriatric anxiety screening scale,geriatric psychiatric symptoms scale,and daily living ability scale were used to collect or evaluate basic information,cognitive impairment,depres-sion,anxiety,psychiatric symptoms,and daily living ability of elderly people from March 5,2022 to July 22,2022.The index system affecting MCI was screened by the receiver operating characteristic(ROC)curve and unconditional binary logistic regression,and the localized computer screening diagnosis system was construc-ted.Results A total of 1 004 elderly individuals were surveyed,among them there were 262 cases(26.1%)of MCI,194 cases(19.3%)of anxious state,21 cases(2.1%)of depression,313 cases(31.2%)of psychotic symptoms and 32 cases(3.2%)of impaired ability of activities of daily living(ADL).The ROC curve analysis showed that the area under the curves(AUC)of depression,anxiety and psychotic symptoms for predicting MCI in elderly individuals were 0.640,0.645,and 0.586,respectively.AUC of anxiety combined with depres-sion(anxiety+depression),depression+psychotic symptoms,anxiety+psychotic symptoms and depression+anxiety+psychotic symptoms were 0.676,0.652,0.645 and 0.676,respectively.The multivariate analysis found that the age,whether or not anyone close to you died in the last two years,ability of activities of daily living,anxiety degree,whether or not having psychotic symptoms,education level,whether or not having joint habitation with the family members and suffering from multiple chronic diseases were the influencing factors of MCI.Conclusion The age,education level,death of close persons in the past two years,ability to live daily life,depression,and psychotic symptoms could serve as the indicators system of the MCI localized computer screening and diagnosis system.
		                        		
		                        		
		                        		
		                        	
7.Clinical trial of Morinda officinalis oligosaccharides in the continuation treatment of adults with mild and moderate depression
Shu-Zhe ZHOU ; Zu-Cheng HAN ; Xiu-Zhen WANG ; Yan-Qing CHEN ; Ya-Ling HU ; Xue-Qin YU ; Bin-Hong WANG ; Guo-Zhen FAN ; Hong SANG ; Ying HAI ; Zhi-Jie JIA ; Zhan-Min WANG ; Yan WEI ; Jian-Guo ZHU ; Xue-Qin SONG ; Zhi-Dong LIU ; Li KUANG ; Hong-Ming WANG ; Feng TIAN ; Yu-Xin LI ; Ling ZHANG ; Hai LIN ; Bin WU ; Chao-Ying WANG ; Chang LIU ; Jia-Fan SUN ; Shao-Xiao YAN ; Jun LIU ; Shou-Fu XIE ; Mao-Sheng FANG ; Wei-Feng MI ; Hong-Yan ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(6):815-819
		                        		
		                        			
		                        			Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P<0.05).After continuation treatment,the remission rate was 54.59%(202 cases/370 cases),and the recurrence rate was 6.49%(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35%(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.
		                        		
		                        		
		                        		
		                        	
8.Evaluation of Renal Impairment in Patients with Diabetic Kidney Disease by Integrated Chinese and Western Medicine.
Yi-Lun QU ; Zhe-Yi DONG ; Hai-Mei CHENG ; Qian LIU ; Qian WANG ; Hong-Tao YANG ; Yong-Hui MAO ; Ji-Jun LI ; Hong-Fang LIU ; Yan-Qiu GENG ; Wen HUANG ; Wen-Hu LIU ; Hui-di XIE ; Fei PENG ; Shuang LI ; Shuang-Shuang JIANG ; Wei-Zhen LI ; Shu-Wei DUAN ; Zhe FENG ; Wei-Guang ZHANG ; Yu-Ning LIU ; Jin-Zhou TIAN ; Xiang-Mei CHEN
Chinese journal of integrative medicine 2023;29(4):308-315
		                        		
		                        			OBJECTIVE:
		                        			To investigate the factors related to renal impairment in patients with diabetic kidney disease (DKD) from the perspective of integrated Chinese and Western medicine.
		                        		
		                        			METHODS:
		                        			Totally 492 patients with DKD in 8 Chinese hospitals from October 2017 to July 2019 were included. According to Kidney Disease Improving Global Outcomes (KDIGO) staging guidelines, patients were divided into a chronic kidney disease (CKD) 1-3 group and a CKD 4-5 group. Clinical data were collected, and logistic regression was used to analyze the factors related to different CKD stages in DKD patients.
		                        		
		                        			RESULTS:
		                        			Demographically, male was a factor related to increased CKD staging in patients with DKD (OR=3.100, P=0.002). In clinical characteristics, course of diabetes >60 months (OR=3.562, P=0.010), anemia (OR=4.176, P<0.001), hyperuricemia (OR=3.352, P<0.001), massive albuminuria (OR=4.058, P=0.002), atherosclerosis (OR=2.153, P=0.007) and blood deficiency syndrome (OR=1.945, P=0.020) were factors related to increased CKD staging in patients with DKD.
		                        		
		                        			CONCLUSIONS
		                        			Male, course of diabetes >60 months, anemia, hyperuricemia, massive proteinuria, atherosclerosis, and blood deficiency syndrome might indicate more severe degree of renal function damage in patients with DKD. (Registration No. NCT03865914).
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2
		                        			;
		                        		
		                        			Diabetic Nephropathies
		                        			;
		                        		
		                        			Hyperuricemia
		                        			;
		                        		
		                        			Kidney
		                        			;
		                        		
		                        			Proteinuria
		                        			;
		                        		
		                        			Renal Insufficiency, Chronic/complications*
		                        			
		                        		
		                        	
9.Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.
Xiao-Qing LIU ; Run-Shun ZHANG ; Xue-Zhong ZHOU ; Hong ZHOU ; Yu-Yao HE ; Shu HAN ; Jing ZHANG ; Zi-Xin SHU ; Xue-Bin ZHANG ; Jing-Hui JI ; Quan ZHONG ; Li-Li ZHANG ; Zi-Jun MOU ; Li-Yun HE ; Lun-Zhong ZHANG ; Jie YANG ; Yan-Jie HU ; Zheng-Guang CHEN ; Xiao-Zhen LI ; Yan TAN ; Zhan-Feng YAN ; Ke-Gang CAO ; Wei MENG ; He ZHAO ; Wei ZHANG ; Li-Qun ZHONG
Chinese journal of integrative medicine 2023;29(5):441-447
		                        		
		                        			OBJECTIVE:
		                        			To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.
		                        		
		                        			METHODS:
		                        			By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.
		                        		
		                        			RESULTS:
		                        			Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens.
		                        		
		                        			CONCLUSIONS
		                        			There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Syndrome
		                        			;
		                        		
		                        			Ischemic Stroke
		                        			;
		                        		
		                        			Medicine, Chinese Traditional
		                        			;
		                        		
		                        			Liver
		                        			;
		                        		
		                        			Phenotype
		                        			
		                        		
		                        	
10.Genomics of next generation sequencing in pediatric B-acute lymphoblastic leukemia and its impact on minimal residual disease.
Yang Yang GAO ; Yu Jiao JIA ; Ben Quan QI ; Xiao Yan ZHANG ; Yu Mei CHEN ; Yao ZOU ; Ye GUO ; Wen Yu YANG ; Li ZHANG ; Shu Chun WANG ; Ran Ran ZHANG ; Tian Feng LIU ; Zhen SONG ; Xiao Fan ZHU ; Xiao Juan CHEN
Chinese Journal of Pediatrics 2023;61(6):527-532
		                        		
		                        			
		                        			Objective: To describe the gene mutation profile of newly diagnosed pediatric B-acute lymphoblastic leukemia (B-ALL) and analyze its effect on minimal residual disease (MRD). Methods: A total of 506 newly diagnosed B-ALL children treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences from September 2018 to July 2021 were enrolled in this retrospective cohort study. The enrolled children were divided into MRD ≥1.00% group and <1.00% group according to MRD results on the 19th day since chemotherapy, and MRD ≥0.01% group and <0.01% group according to MRD results on the 46th day. Clinical characteristics and gene mutations of two groups were compared. Comparisons between groups were performed with chi-square test or Fisher's exact test. Independent risk factors of MRD results on the 19th day and the 46th day were analyzed by Logistic regression model. Results: Among all 506 patients, there were 318 males and 188 females. On the 19th day, there were 114 patients in the MRD ≥1.00% group and 392 patients in the MRD <1.00% group. On the 46th day, there were 76 patients in the MRD ≥0.01% group and 430 patients in the MRD <0.01% group. A total of 187 gene mutations were detected in 487 (96.2%) of 506 children. The most common gene mutations were signal transduction-related KRAS gene mutations in 111 cases (22.8%) and NRAS gene mutations in 99 cases (20.3%). Multivariate analysis showed that PTPN11 (OR=1.92, 95%CI 1.00-3.63), KMT2A (OR=3.51, 95%CI 1.07-11.50) gene mutations and TEL-AML1 (OR=0.48, 95%CI 0.27-0.87), BCR-ABL1 (OR=0.27, 95%CI 0.08-0.92) fusion genes and age >10 years (OR=1.91, 95%CI 1.12-3.24) were independent influencing factors for MRD ≥1.00% on the 19th day. BCORL1 (OR=2.96, 95%CI 1.18-7.44), JAK2 (OR=2.99, 95%CI 1.07-8.42) and JAK3 (OR=4.83, 95%CI 1.50-15.60) gene mutations and TEL-AML1 (OR=0.43, 95%CI 0.21-0.87) fusion gene were independent influencing factors for MRD ≥0.01% on the 46th day. Conclusions: Children with B-ALL are prone to genetic mutations, with abnormalities in the RAS signaling pathway being the most common. Signal transduction related PTPN11, JAK2 and JAK3 gene mutations, epigenetic related KMT2A gene mutation and transcription factor related BCORL1 gene mutation are independent risk factors for MRD.
		                        		
		                        		
		                        		
		                        			Child
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			High-Throughput Nucleotide Sequencing
		                        			;
		                        		
		                        			Neoplasm, Residual/genetics*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Genomics
		                        			;
		                        		
		                        			Precursor Cell Lymphoblastic Leukemia-Lymphoma
		                        			
		                        		
		                        	
            
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