1.Clinical Questions Construction in Clinical Practice Guidelines: Based on Case-guided Approach
Yicheng GAO ; Zijin YU ; Yaqi WANG ; Rui FANG ; Cheng WANG ; Yuanyuan LI ; Yingjie DENG ; Xue BAI ; Wenyuan XIANG ; Yutong FEI
Medical Journal of Peking Union Medical College Hospital 2024;16(1):198-203
Currently, there are practical and technical difficulties in the construction of clinical questions in the development of clinical practice guidelines. Clinicians or guideline developers seldom construct clinical questions based the actual case scenario, leading to some information loss between structured and actual clinical connotation. To overcome this challenge, we proposed a case-guided questions construction approach, and carried out case research and verification in the formulation of the guideline. We found that this method could more efficiently and scientifically assist the formulation of clinical questions, and provide reference for clinicians or guideline developers.
2.Application and Challenges of EEG Signals in Fatigue Driving Detection
Shao-Jie ZONG ; Fang DONG ; Yong-Xin CHENG ; Da-Hua YU ; Kai YUAN ; Juan WANG ; Yu-Xin MA ; Fei ZHANG
Progress in Biochemistry and Biophysics 2024;51(7):1645-1669
		                        		
		                        			
		                        			People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety. 
		                        		
		                        		
		                        		
		                        	
3.A clinical study on the treatment of relapsed/refractory acute myeloid leukemia with venetoclax regimen
Lei FANG ; Fei XIAOMING ; Yang YUANLIN ; Ji YANPING ; Yu XIANQIU ; Tang YU
Chinese Journal of Clinical Oncology 2024;51(7):348-353
		                        		
		                        			
		                        			Objective:To explored the feasibility and efficacy of a rapid ramp-up,2-week maximum regimen of venetoclax(VEN)plus low-dose cytarabine(LDAC)for treating relapsed/refractory acute myeloid leukemia(R/R AML).Methods:We retrospectively analyzed patients with venetoclax-na?ve R/R AML treated with VEN+LDAC between October 2018 and November 2023.On the first day,patients received 200 mg of VEN,and the dose was quickly increased to 400 mg for the rest of the treatment;cytarabine was administered subcutaneously at a low dose of 20 mg/m2/day.The treatment duration was 10 or 14 days,depending on the condition of bone marrow hyperplasia determined on the 8th day of treatment.No patients received venetoclax monotherapy.All patients responding to salvage therapy received VEN+LDAC until disease progression or transplantation.Results:Among the patients,the median follow-up duration was 27.5 months.No clinical mani-festations of tumor lysis syndrome(TLS)occurred during the treatment.The overall response rate(ORR)was 68.75%,including four com-plete responses(CR),one complete remission with incomplete hematologic recovery(CRi),and six partial responses(PR).The median num-ber of best treatment result cycles was one cycle.The median overall survival(OS)in the whole cohort was 5.8(0.5-47.2)months;the medi-an progression-free survival(PFS)was 22.2(7.3-42.9)months.The major adverse events were grade 3-4 hematologic adverse events and in-fections.Conclusions:The 8th-day myelosuppression-adjusted VEN+LDAC regimen is a feasible salvage option with a reasonable safety pro-file in patients with venetoclax-na?ve R/R AML.Most patients tolerated the 14-day treatment;the response was generally rapid in the re-sponding patients.
		                        		
		                        		
		                        		
		                        	
4.Species identification of hard ticks and molecular survey of Ana plasma in partial areas of Anhui Province
Xue ZHAO ; Khakhane LERATO ; Wan-Qing LU ; Xin-Yun WU ; Fang-Fei SONG ; Yu XIN ; Ying-Ying ZHANG ; Chen XING ; Ke-Han XU ; Mao-Zhang HE ; Yan LIU
Chinese Journal of Zoonoses 2024;40(4):302-307
		                        		
		                        			
		                        			The distribution of Ixodes and Ana plasma carried by Ixodes ticks in Anhui Province was clarified as reference for prevention and control of anaplasmosis.In total,630 hard ticks were collected from Jinzhai County,Hanshan County,Jing-de County and Chaohu City in Anhui Province from April to August 2023.Ticks were identified by morphological analysis and 16S rRNA sequencing.Nested PCR with Anaplasma species-specific primers were used to detect 16S rRNA of Anaplasma spe-cies carried by ticks.A phylogenetic tree was constructed using MEGA11.0 software.Of the identified ticks,18.8%(18/96)were Rhipicephalus microplus and 81.2%(78/96)were Haemaphysalis longicorni in Jinzhai County of Anhui Province,all were H.longicorni in Hanshan County and Chaohu City,while the main species in Jingde County was R.microplus.The posi-tive rate of Anaplasma carried by H.longicornis was 30.9%(102/330),which included A.bovis at 1.8%(6/330),A.phagocytophilum at 21.8%(72/330)and uncultured Anaplasma species at 7.3%(24/330).R.microplus was positively cor-related to A.bovis(13.6%,18/132).The uncultured Anaplasma species was mainly detected in host-free ticks.A.phagocy-tophilum was detected in 24.4%of parasitic ticks and 15.8%of host-free ticks.The positive rates of host-free and parasitic ticks were 19.9%and 17.8%,respectively.These results show that H.longicornis and R.microplus were the dominant ticks in several counties of Anhui Province.H.longicornis and R.microplus as well as free and parasitic ticks all carried Anaplas-ma.
		                        		
		                        		
		                        		
		                        	
5.Evaluation and optimization of metagenomic sequencing platforms for bloodstream infection samples
Xin PENG ; Hang FAN ; Meng-Nan CUI ; Lei LIN ; Guang-Qian PEI ; Yun-Fei WANG ; Xiu-Juan ZUO ; Xiao-Feng FANG ; Yan GUO ; Yu-Jun CUI
Chinese Journal of Zoonoses 2024;40(10):928-934
		                        		
		                        			
		                        			This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P<0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P<0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.
		                        		
		                        		
		                        		
		                        	
6.Risk Factors and the Effect of Antiviral Prophylaxis for Herpes Zoster in Multiple Myeloma Patients
Li-Xia WANG ; Yan-Ping JI ; Fang LEI ; Xian-Qiu YU ; Xiao-Ming FEI
Journal of Experimental Hematology 2024;32(1):171-175
		                        		
		                        			
		                        			Objective:To study the incidence and risk factors of herpes zoster in patients with multiple myeloma and to evaluate the preventive effect of antiviral therapy.Methods:The clinical features of multiple myeloma patients with herpes zoster were retrospectively analyzed,the risk factors of herpes zoster and the effect of antiviral prophylaxis were analyzed.Results:Among 180 patients with multiple myeloma,23 cases developed herpes zoster(12.8%).The incidence of herpes zoster was 19.1%in patients with renal dysfunction and 23.5%after autologous hematopoietic stem cell transplantation(ASCT).The incidence of herpes zoster was higher in patients receiving bortezomib-containing regimens(21/137,15.3%)than that in those without bortezomib(2/43,4.7%),but there was no statistical difference(P=0.067).Antiviral prophylaxis was associated with fewer zoster infections,8/111(7.2%)developed herpes zoster in patients who received antiviral prophylaxis,and 15/69(21.7%)in those receiving no prophylaxis(P=0.005).65.2%of patients with herpes zoster did not receive antiviral prophylaxis.Multivariate analysis showed that bortezomib treatment,AHSCT and renal dysfunction were independent risk factors for multiple myeloma with herpes zoster,while antiviral prophylaxis was independently associated with reducing the risk of herpes zoster.Herpes zoster had no effect on OS in patients with multiple myeloma.Conclusion:The risk of herpes zoster in multiple myeloma patients was increased.Antiviral prophylaxis can reduce the risk of herpes zoster in patients on bortezomib-based therapy.
		                        		
		                        		
		                        		
		                        	
7.Analysis of the causes of cage subsidence after oblique lateral lumbar interbody fusion
Zhong-You ZENG ; Ping-Quan CHEN ; Xing ZHAO ; Hong-Fei WU ; Jian-Qiao ZHANG ; Xiang-Qian FANG ; Yong-Xing SONG ; Wei YU ; Fei PEI ; Shun-Wu FAN ; Guo-Hao SONG ; Shi-Yang FAN
China Journal of Orthopaedics and Traumatology 2024;37(1):33-44
		                        		
		                        			
		                        			Objective To observe the cage subsidence after oblique lateral interbody fusion(OLIF)for lumbar spondylo-sis,summarize the characteristics of the cage subsidence,analyze causes,and propose preventive measures.Methods The data of 144 patients of lumbar spine lesions admitted to our hospital from October 2015 to December 2018 were retrospectively ana-lyzed.There were 43 males and 101 females,and the age ranged from 20 to 81 years old,with an average of(60.90±10.06)years old.Disease types:17 patients of lumbar intervertebral disc degenerative disease,12 patients of giant lumbar disc hernia-tion,5 patients of discogenic low back pain,33 patients of lumbar spinal stenosis,26 patients of lumbar degenerative spondy-lolisthesis,28 patients of lumbar spondylolisthesis with spondylolisthesis,11 patients of adjacent vertebral disease after lumbar internal fixation,7 patients of primary spondylitis in the inflammatory outcome stage,and 5 patients of lumbar degenerative scoliosis.Preoperative dual-energy X-ray bone mineral density examination showed 57 patients of osteopenia or osteoporosis,and 87 patients of normal bone density.The number of fusion segments:124 patients of single-segment,11 patients of two-seg-ment,8 patients of three-segment,four-segment 1 patient.There were 40 patients treated by stand-alone OLIF,and 104 patients by OLIF combined with posterior pedicle screw.Observed the occurrence of fusion cage settlement after operation,conducted monofactor analysis on possible risk factors,and observed the influence of fusion cage settlement on clinical results.Results All operations were successfully completed,the median operation time was 99 min,and the median intraoperative blood loss was 106 ml.Intraoperative endplate injury occurred in 30 patients and vertebral fracture occurred in 5 patients.The mean follow-up was(14.57±7.14)months from 6 to 30 months.During the follow-up,except for the patients of primary lumbar interstitial in-flammation and some patients of lumbar spondylolisthesis with spondylolisthesis,the others all had different degrees of cage subsidence.Cage subsidence classification:119 patients were normal subsidence,and 25 patients were abnormal subsidence(23 patients were grade Ⅰ,and 2 patients were grade Ⅱ).There was no loosening or rupture of the pedicle screw system.The height of the intervertebral space recovered from the preoperative average(9.48±1.84)mm to the postoperative average(12.65±2.03)mm,and the average(10.51±1.81)mm at the last follow-up.There were statistical differences between postop-erative and preoperative,and between the last follow-up and postoperative.The interbody fusion rate was 94.4%.The low back pain VAS decreased from the preoperative average(6.55±2.2 9)to the last follow-up(1.40±0.82),and there was statistically significant different.The leg pain VAS decreased from the preoperative average(4.72±1.49)to the final follow-up(0.60± 0.03),and the difference was statistically significant(t=9.13,P<0.000 1).The ODI index recovered from the preoperative av-erage(38.50±6.98)%to the latest follow-up(11.30±3.27)%,and there was statistically significant different.The complication rate was 31.3%(45/144),and the reoperation rate was 9.72%(14/144).Among them,8 patients were reoperated due to fusion cage subsidence or displacement,accounting for 57.14%(8/14)of reoperation.The fusion cage subsidence in this group had obvious characteristics.The monofactor analysis showed that the number of abnormal subsidence patients in the osteopenia or osteoporosis group,Stand-alone OLIF group,2 or more segments fusion group,and endplate injury group was higher than that in the normal bone mass group,OLIF combined with pedicle screw fixation group,single segment fusion group,and no endplate injury group,and the comparison had statistical differences.Conclusion Cage subsidence is a common phenomenon after 0-LIF surgery.Preoperative osteopenia or osteoporosis,Stand-alone OLIF,2 or more segments of fusion and intraoperative end-plate injury may be important factors for postoperative fusion cage subsidence.Although there is no significant correlation be-tween the degree of cage subsidence and clinical symptoms,there is a risk of cage migration,and prevention needs to be strengthened to reduce serious complications caused by fusion of cage subsidence,including reoperation.
		                        		
		                        		
		                        		
		                        	
8.An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study
Liyuan LIU ; Yong HE ; Chunyu KAO ; Yeye FAN ; Fu YANG ; Fei WANG ; Lixiang YU ; Fei ZHOU ; Yujuan XIANG ; Shuya HUANG ; Chao ZHENG ; Han CAI ; Heling BAO ; Liwen FANG ; Linhong WANG ; Zengjing CHEN ; Zhigang YU
Chinese Medical Journal 2024;137(17):2084-2091
		                        		
		                        			
		                        			Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.
		                        		
		                        		
		                        		
		                        	
		                				9.Cloning, expression analysis and enzyme activity verification of dihydroflavonol 4-reductase from Cistanche tubulosa  (Schenk) Wight flower
		                			
		                			Hai-ling QIU ; Fang-ming WANG ; Bo-wen GAO ; Xin-yu MI ; Ze-kun ZHANG ; Yu DU ; She-po SHI ; Peng-fei TU ; Xiao-hui WANG
Acta Pharmaceutica Sinica 2023;58(4):1079-1089
		                        		
		                        			
		                        			 Dihydroflavonol 4-reductase (DFR) plays an essential role in the biosynthesis of anthocyanin and regulation of plant flower color. Based on the transcriptome data of 
		                        		
		                        	
		                				10.Study on the objectivity and biological mechanism of Psoralea corylifolia  Linn.'s  'Great dryness damages the liver'
		                			
		                			Ming-liang ZHANG ; Xu ZHAO ; Wei-xia LI ; Xiao-yan WANG ; Yu-long CHEN ; De-xin KONG ; Cheng-zhao WU ; Xiao-fei CHEN ; Zhao-fang BAI ; Ming NIU ; Jia-bo WANG ; Yan-ling ZHAO ; Xiao-he XIAO ; Jin-fa TANG
Acta Pharmaceutica Sinica 2023;58(4):1014-1023
		                        		
		                        			
		                        			 According to the theory of 'Xingben Dazao'
		                        		
		                        	
            
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