BACKGROUND: The effects of acupuncture have varied in different randomized controlled trials (RCTs), and there are many factors that influence treatment effect of acupuncture in different outcomes, with conflicting results. OBJECTIVE: To identify factors and their impact on the treatment effect of acupuncture in different outcomes. METHODS: Acupuncture RCTs were searched from 7 databases including Medline (PubMed), Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and China Biology Medicine disc between January 1st, 2015 and December 31st, 2019. Eligible studies must compare acupuncture to no acupuncture, sham acupuncture, or waiting lists, and report at least 1 patient-important outcome. A multi-level meta-regression was conducted using a 3-level robust mixed model and univariate analyses were performed for all independent variables, even those excluded from the multivariable model due to collinearities. We used thresholds of 0.2 and 0.4 for the difference of standardized mean differences (SMDs), categorising them as small (<0.2), moderate (0.2-0.4), or large (>0.4) effects. RESULTS: The pain construct analysis involved 211 effect estimates from 153 studies and 14 independent variables. High-frequency acupuncture treatment sessions produced larger effects compared to low-frequency sessions [large magnitude, the difference of adjusted SMDs 0.46, 95% confidence interval (CI) 0.07 to 0.84; P=0.02]. The non-pain symptoms construct analysis comprised 323 effect estimates from 231 studies and 15 independent variables. Penetrating acupuncture showed moderately larger effects when compared to non-penetrating acupuncture (0.30, 95% CI 0.06 to 0.53; P=0.01). The function construct analysis included 495 effect estimates from 274 studies and 14 independent variables. Penetrating acupuncture and the flexible acupuncture regimen showed moderately larger effects, compared to non-penetrating acupuncture and fixed regimen, respectively (0.40, 95% CI 0 to 0.80; P=0.05; 0.29, 95% CI 0.06 to 0.53; P=0.01). CONCLUSIONS High-frequency acupuncture sessions appear to be a more effective approach to managing painful symptoms. Penetrating acupuncture demonstrated greater effect in relieving non-painful symptoms. Both penetrating acupuncture type and flexible acupuncture regimen were linked to significant treatment effects in function outcomes. Future studies should consider the factors that are significantly associated with the effects of acupuncture in patient-important outcomes.
Humans ; Randomized Controlled Trials as Topic ; Acupuncture Therapy/methods* ; Pain ; Pain Management ; China

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.

Objective To investigate the epidemiological and clinical characteristics of 954 cases of central nervous system(CNS)infections in Chongqing.Methods A retrospective analysis was conducted on 954 patients with CNS infectious disease diagnosed and treated in the Second Affiliated Hospital of Army Medical University from 2008 to 2021.The analysis encompassed pathogens,patient gender,age of onset,time of onset,urban-rural distribution,education level,occupational distribution,and other epidemiological characteristics.The clinical manifestations,the positive rate of metagenomic next-generation sequencing(mNGS),and prognosis were also analyzed.Results Among the 945 cases of CNS infectious diseases,the pathogens were viruses in 393(41.2%),Mycobacterium tuberculosis in 361(37.8%),other bacteria in 108(11.3%),Cryptococcus in 75(7.9%),Treponema pallidum in 16(1.7%)and parasites in 1(0.1%).The number of CNS infection cases from 2015 to 2021 increased by 85.6%compared with that from 2008 to 2014(620 vs.334,P<0.001).There was no significant difference in seasonal distribution of pathogens(P>0.05).CNS infectious diseases were more prevalent in rural areas(58.0%,P<0.001),with a male-to-female ratio of 1.7:1.0,and a higher incidence in individuals aged between 35 and 60 years.The majority of patients were educated at Junior high school level or below(68.7%)and were farmers or workers(68.1%).Clinical symptoms of CNS infectious disease mainly included fever,headache,signs of meningeal irritation,nausea and vomiting,which could be accompanied by consciousness disorder and focal neurological deficits.mNGS significantly improves the accuracy of clinical diagnosis.The rate of good prognosis of CNS infectious diseases was 97.5%,while the mortality rate was 0.3%.Conclusions In Chongqing area,the categories and species of CNS infectious pathogens are diverse,widely prevalent,and the clinical manifestations are complex.Moreover,the number of cases has been increasing in recent years.Understanding the epidemiological and clinical characteristics of CNS infectious diseases can help to recognize the regional differences,promote early accurate diagnosis and treatment,and improve prognosis.

Objective To describe the changing trend and related factors of prevalence rates of healthcare-associa-ted infection(HAI)in a tertiary hospital in the past 10 years,and analyze the influencing factors for HAI.Methods A cross-sectional survey on HAI was conducted for 10 consecutive years from 2013 to 2022(one day was selected as the survey day each year),data were collected.The distribution and related factors of prevalence rates of HAI were analyzed by trend-x2 test and Pearson correlation coefficient.Multivariate logistic regression and multilayer percep-tron(MLP)models were constructed to analyze the independent effect and significance of factors.Results From 2013 to 2022,the prevalence rates of HAI ranged from 4.66％to 8.07％in this hospital,showing a linear upward trend.The proportions of ICU patients and utilization rate of central venous catheters within 2 days before the sur-vey showed linear upward trends,while the proportion of patients with urinary catheters within 2 days before the survey and proportion of patients undergoing surgery within 30 days before the survey decreased.The MLP model revealed that the top 3 important factors for HAI were length of hospital stay＞10 days,admission in ICU,and in-dwelling central venous catheters within 2 days before the survey.Multivariate logistic regression model indicated that length of hospital stay＞10 days,indwelling central venous catheters or urinary catheters within 2 days before the survey,surgery within 30 days before the survey,and admission in ICU were independent influencing factors for HAI.Conclusion The incidence of HAI in this hospital presents a linear increase in recent 10 years,the causes should be further analyzed and the direction of intervention should be determined through targeted surveillance.Adopting trend test statistical analysis method,logistic regression,MLP multi-factor model can further explore the data value of HAI prevalence survey.

Objective:To investigate the clinical significance of genetic and molecular changes in primary myeloid sarcoma(MS).Methods:Fourteen patients with primary MS were selected in Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences,The First People's Hospital of Lianyungang from September 2010 to December 2021.AML1-ETO fusion,PML-RARα fusion and CBFβ breakage were detected by fluorescence in situ hybridization(FISH),and the mutations of NPM1,CEBPA,FLT3,RUNX1,ASXL1,KIT and TP53 genes were detected by new generation sequencing(NGS).Results:Among 14 patients,the MS occurred in bone,breast,epididymis,lung,chest wall,cervix,small intestine,ovary,lymph nodes and central nervous system.The tumor cells expressed MPO(13 cases),CD34(7 cases),CD43(8 cases),CD68(7 cases),CD99(8 cases)and CD117(6 cases).Cytogenetic abnormalities were observed in 4 cases,including 3 cases of AML1-ETO fusion and 1 case of CBF β breakage,while no PML-RAR α fusion was detected.There were no significant differences in overall survival(OS)and leukemia-free survival(LFS)between patients with and without AML1-ETO fusion/CBFβ breakage(both P＞0.05).Among the 14 patients,the number of NPM1,CEBPA,FLT3-ITD,RUNX1,ASXL1,KIT and TP53 gene mutations was 5,3,5,3,2,2,1.respectively,of which 7 cases had at least one mutation in FLT3-ITD,RUNX1,ASXL1 and TP53 gene.The OS and LFS of patients with FLT3-ITD,RUNX1,ASXL1 or TP53 mutation were shorter than those without mutations(both P＜0.01).Conclusion:The genetic and molecular abnormalities of primary MS can be detected by FISH and NGS techniques.FLT3-ITD,RUNX1,ASXL1 or TP53 mutation indicates a worse prognosis,but further clinical studies are needed to confirm it.

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.

A rich diversity of wild medicinal plant resources is distributed in China, but the breeding of new plant varieties of Chinese medicinal plants started late and the breeding level is relatively weak. Chinese medicinal plant resources are the foundation for new varieties breeding, and the plant variety rights(PVP) are of great significance for the protection and development of germplasm resources. However, most Chinese medicinal plants do not have a distinctness, uniformity, and stability(DUS) testing guideline. The Ministry of Agriculture and Rural Affairs has put 191 plant species(genera) on protection lists, of which only 30 are medicinal species(genera). At the same time, only 29 of 293 species(genera) plants in the Protection List of New Plant Varieties of the People's Republic of China(Forest and Grass) belong to Chinese medicinal plants. The number of PVP applications and authorization of Chinese medicinal plants is rare, and the composition of variety is unreasonable. Up to now, 29 species(genera) of DUS test guidelines for Chinese medicinal plants have been developed. Some basic problems in the breeding of new varieties of Chinese medicinal plants have appeared, such as the small number of new varieties and insufficient utilization of Chinese medicinal plant resources. This paper reviewed the current situation of breeding of new varieties of Chinese medicinal plants and the research progress of DUS test guidelines in China and discussed the application of biotechnology in the field of Chinese medicinal plant breeding and the existing problems in DUS testing. This paper guides the further application of DUS to protect and utilize the germplasm resources of Chinese medicinal plants.
Agriculture ; Biotechnology ; Plant Breeding ; Plants, Medicinal/genetics*

Chinese medicinal resources are the cornerstone of the sustainable development of traditional Chinese medicine industry. However, due to the fecundity of species, over-exploitation, and limitations of artificial cultivation, some medicinal plants are depleted and even endangered. Tissue culture, a breakthrough technology in the breeding of traditional Chinese medicinal materials, is not limited by time and space, and can allow the production on an annual basis, which plays an important role in the protection of Chinese medicinal resources. The present study reviewed the applications of tissue culture of medicinal plants in the field of Chinese medicinal resources, including rapid propagation of medicinal plant seedlings, breeding of novel high-yield and high-quality cultivars, construction of a genetic transformation system, and production of secondary metabolites. Meanwhile, the current challenges and suggestions for the future development of this field were also proposed.
Sustainable Development ; Plants, Medicinal/genetics* ; Plant Breeding ; Medicine, Chinese Traditional ; Technology

OBJECTIVES: To study the application value of transport ventilator in the inter-hospital transport of critically ill children. METHODS: The critically ill children in Hunan Children's Hospital who were transported with or without a transport ventilator were included as the observation group (from January 2019 to January 2020; n=122) and the control group (from January 2018 to January 2019; n=120), respectively. The two groups were compared in terms of general data, the changes in heart rate, respiratory rate, and blood oxygen saturation during transport, the incidence rates of adverse events, and outcomes. RESULTS: There were no significant differences between the two groups in sex, age, oxygenation index, pediatric critical illness score, course of disease, primary disease, heart rate, respiratory rate, and transcutaneous oxygen saturation before transport (P>0.05). During transport, there were no significant differences between the two groups in the changes in heart rate, respiratory rate, and transcutaneous oxygen saturation (P>0.05). The incidence rates of tracheal catheter detachment, indwelling needle detachment, and sudden cardiac arrest in the observation group were lower than those in the control group during transport, but the difference was not statistically significant (P>0.05). Compared with the control group, the observation group had significantly shorter duration of mechanical ventilation and length of stay in the pediatric intensive care unit and significantly higher transport success rate and cure/improvement rate (P<0.05). CONCLUSIONS The application of transport ventilator in the inter-hospital transport can improve the success rate of inter-hospital transport and the prognosis in critically ill children, and therefore, it holds promise for clinical application in the inter-hospital transport of critically ill children.
Child ; Humans ; Critical Illness ; Respiration, Artificial/adverse effects* ; Intensive Care Units, Pediatric ; Ventilators, Mechanical ; Prognosis

Acupuncture-moxibustion is remarkably effective on encephalopathy, but its mechanism is unclear. With the continuous development of imaging technology, the in vivo brain imaging technology has been used increasingly in life science research and it also becomes a more effective tool for the basic research of acupuncture-moxibustion in treatment of encephalopathy. The paper summarizes the application of its technology in the basic research of acupuncture-moxibustion for encephalopathy and the characteristics of imaging, as well as the advantages and shortcomings. It is anticipated that the references may be provided for the basic research of acupuncture-moxibustion in treatment of encephalopathy and be conductive to the modernization of acupuncture-moxibustion.
Humans ; Moxibustion ; Acupuncture Therapy ; Acupuncture ; Brain Diseases/therapy* ; Neuroimaging