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 evaluate the efficacy of surgery,chemotherapy and surgery combined chemotherapy for retinoblastoma(RB),and analyze the prognostic factors of RB patients.Methods Clinical data of 1188 RB patients registered in the Surveillance,Epidemiology and End Results(SEER)database from January 2000 to December 2019 were retrospectively analyzed.The baseline characteristics of patients treated with surgery,chemotherapy or surgery combined with chemotherapy were balanced by inverse probability of treatment weighting(IPTW).Log-rank test analysis was used to compare the survival probability of patients in the 3 groups,and Cox regression models were used to analyse the factors influencing the prognosis of RB patients.Results A total of 1188 RB cases were included in this study,including 426 cases in surgery group,200 cases in chemotherapy group and 562 cases in surgery combined with chemotherapy group.After IPTW weighting,baseline data such as age,sex and race were balanced(P＞0.05).Log-rank test results showed that the survival curves of the three groups were significantly different before and after weighting(P＜0.05).After weighted,the survival of patients in surgery group was significantly better than that in chemotherapy group and surgery combined chemotherapy group(P＜0.05),and there was no statistical significance between chemotherapy group and surgery combined chemotherapy group(P＞0.05).The weighted patient survival probability at 1st,3rd and 5th years were 99.7%,98.9%and 98.6%in surgery group;97.4%,95.8%and 95.8%in chemotherapy group;and 97.9%,95.8%and 95.0%in surgery combined chemotherapy group.Cox regression analysis showed that compared with surgery group,the specific risk ratio of death was 1.367(95%CI 1.100-1.700)in chemotherapy group and 1.132(95%CI 0.963-1.330)in combined chemotherapy group.Compared with patients with 1 RB lesion,the patient-specific mortality risk ratio for patients with 2 or more RB lesions was 0.399(95%CI 0.268-0.594).Conclusions Patients with RB have higher survival rates probability after treatment.After controlling the influence of age,sex and other factors,the effect of surgery was better among the three treatment methods.Multifocality may be an independent prognostic factor in RB patients.

Objective To observe the clinical efficacy and safety of ticagrelor tablets combined with atorvastatin calcium tablets in the treatment of cerebral thrombosis.Methods The patients with cerebral thrombosis were divided into control group and treatment group according to cohort methods.Two groups were given basic therapy.On the basic therapy,control group was given atorvastatin calcium 20 mg per time,once a day,orally;on the basic of control group,the treatment group received ticagrelor 90 mg per time,twice a day,orally.Two groups were treated for 4 months.The clinical efficacy,nerve function,blood viscosity,platelet parameters,brain injury markers and adverse drug reactions were compared between two groups.Results Treatment and control groups enrolled 119 and 117 cases,respectively.After treatment,the total effective rates of treatment and control groups were 91.60％(109 cases/119 cases)and 82.05％(96 cases/117 cases)with significant difference(P＜0.05).After treatment,the scale scores of treatment and control groups were(5.47±0.82)and(6.51±0.96)points;the plasma viscosity levels were(1.35±0.21)and(1.62±0.24)mPa·s,whole blood high shear viscosity levels were(3.67±0.51)and(4.01±0.59)mPa·s;the whole blood low shear viscosity levels were(6.12±0.93)and(7.05±1.07)mPa·s;the platelet adhesion rates were(30.52±3.81)％and(36.21±4.02)％;the mean platelet volumes were(12.75±1.86)and(15.42±2.06)fL;the carboxy-terminal hydrolase of ubiquitin levels were(0.39±0.06)and(0.51±0.07)μg·L-1;the key protein antigen-5 of aging levels were(90.76±12.23)and(81.64±11.95)μg·L-1;and the differences were statistically significant between two groups(all P＜0.05).The adverse drug reactions of two groups were nausea,vomiting,bleeding,abdominal pain and diarrhea.The total incidences of adverse drug reactions in treatment and control groups were 5.04％and 4.27％,without significant difference(P＞0.05).Conclusion Ticagrelor tablets combined with atorvastat in calcium tablets have a significant clinical efficacy in the treatment of patients with cerebral thrombus,which can significantly improve the neurological function,blood viscosity,brain injury markers,and platelet parameters of patients,without increasing the incidence of adverse drug reactions.

Humans ; Myocarditis/diagnostic imaging* ; Magnetic Resonance Imaging ; Myocardium ; Giant Cells

Humans ; Myocarditis/diagnostic imaging* ; Magnetic Resonance Imaging ; Myocardium ; Giant Cells

italic>Candida albicans (C. albicans) stands as the primary opportunistic fungal pathogen responsible for fungal infections. The formation of biofilms constitutes a key virulence trait of C. albicans and a pivotal factor in drug resistance. Consequently, the development of antifungal drugs possessing biofilm inhibitory properties holds importance in the treatment of fungal infectious diseases. This study conducted in-depth research of the novel biofilm inhibitor named 1-(cyclopentylamino)-3-(4-(2,4,4-trimethylpentan-2-yl)phenoxy)propan-2-ol (IMB-H12). IMB-H12 showed good inhibitory activity on the formation of biofilms and a certain scavenging effect on mature biofilms. Preliminary research on the mechanism of action has found that IMB-H12 can inhibit the transformation from yeast to hyphal phase, inhibit the formation of mycelium, and reduce the adhesion activity and hydrophobicity of Candida albicans. IMB-H12 could also induce changes in the content of cell wall components, downregulate the expression of multiple genes related to adhesion and hyphal formation. Therefore, further research on this compound is expected to discover new lead compounds with antifungal activity.

The anti-inflammatory efficacy of Callicarpa nudiflora extract were evaluated upon lipopolysaccharide (LPS)-induced infective inflammation in rats. Pathological changes of lung and colon tissues observed with hematoxylin-eosin (H&E) staining, together with inflammatory factors in serum, including nitric oxide (NO), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), were applied to assess the mitigating effects of C. nudiflora water extract on model rats. The experimental protocol strictly adhered to the guidelines of the Ethics Committee of Animal Research of Guangdong Pharmaceutical University (Approval: gdpulac2022132). Quality markers with anti-inflammatory activities were recognized by network pharmacology analysis. Subsequently, a reliable method for simultaneously quantifying six components was established. As a result, the pathological injury on lung and colon tissues of model rats induced by LPS were improved by C. nudiflora water extract. Compared with model group, C. nudiflora extract had decreased the release of proinflammatory factors in serum, including TNF-α and IL-6, and reduced the NO (P < 0.01). Network pharmacological analysis obtained 83 chemical components, 466 component targets, 584 disease targets and 129 action targets, which were mainly concentrated in 624 biological processes such as inflammatory response and positive regulation of nitric oxide biosynthesis, as well as 162 pathways such as phosphatidylinositol-3-hydroxykinase-protein kinase (PI3K-Akt) signal pathway and Janus kinase-signal transducer and activator of transcription 3 (JAK-STAT3) signal pathway. Upon analyzing their specificity, effectiveness, detectability, and quantity transfer rule from herb to extract, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as the quality markers. Their anti-inflammatory activities were verified with LPS-induced inflammation model of RAW264.7 cells. Then contents of these 6 quality markers in 16 batches of C. nudiflora were determined. Thereby, the anti-inflammatory efficacy of C. nudiflora extract were confirmed in vivo, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as anti-inflammatory ingredients, which can be used as quality control indicators for the herb and related formulation.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To understand the change in distribution and antimicrobial resistance of bacteria isolated from blood specimens of Hunan Province,and provide for the initial diagnosis and treatment of clinical bloodstream infection(BSI).Methods Data reported from member units of Hunan Province Antimicrobial Resistance Survei-llance System from 2012 to 2021 were collected.Bacterial antimicrobial resistance surveillance method was imple-mented according to the technical scheme of China Antimicrobial Resistance Surveillance System(CARSS).Bacteria from blood specimens and bacterial antimicrobial susceptibility testing results were analyzed by WHONET 5.6 soft-ware and SPSS 27.0 software.Results A total of 207 054 bacterial strains were isolated from blood specimens from member units in Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021,including 107 135(51.7％)Gram-positive bacteria and 99 919(48.3％)Gram-negative bacteria.There was no change in the top 6 pathogenic bacteria from 2012 to 2021,with Escherichia coli(n=51 537,24.9％)ranking first,followed by Staphylococcus epidermidis(n=29 115,14.1％),Staphylococcus aureus(n=17 402,8.4％),Klebsiella pneu-moniae(17 325,8.4％),Pseudomonas aeruginosa(n=4 010,1.9％)and Acinetobacter baumannii(n=3 598,1.7％).The detection rate of methicillin-resistant Staphylococcus aureus(MRSA)decreased from 30.3％in 2015 to 20.7％in 2021,while the detection rate of methicillin-resistant coagulase-negative Staphylococcus(MRCNS)showed an upward trend year by year(57.9％-66.8％).No Staphylococcus was found to be resistant to vancomy-cin,linezolid,and teicoplanin.Among Gram-negative bacteria,constituent ratios of Escherichia coli and Klebsiella pneumoniae were 43.9％-53.9％and 14.2％-19.5％,respectively,both showing an upward trend(both P＜0.001).Constituent ratios of Pseudomonas aeruginosa and Acinetobacter baumannii were 3.6％-5.1％and 3.0％-4.5％,respectively,both showing a downward trend year by year(both P＜0.001).From 2012 to 2021,resistance rates of Escherichia coli to imipenem and ertapenem were 1.0％-2.0％and 0.6％-1.1％,respectively;presenting a downward trend(P＜0.001).The resistant rates of Klebsiella pneumoniae to meropenem and ertapenem were 7.4％-13.7％and 4.8％-6.4％,respectively,presenting a downward trend(both P＜0.001).The resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannii to carbapenem antibiotics were 7.1％-15.6％and 34.7％-45.7％,respectively.The trend of resistance to carbapenem antibiotics was relatively stable,but has de-creased compared with 2012-2016.The resistance rates of Escherichia coli to the third-generation cephalosporins from 2012 to 2021 were 41.0％-65.4％,showing a downward trend year by year.Conclusion The constituent ra-tio of Gram-negative bacillus from blood specimens in Hunan Province has been increasing year by year,while the detection rate of carbapenem-resistant Gram-negative bacillus remained relatively stable in the past 5 years,and the detection rate of coagulase-negative Staphylococcus has shown a downward trend.