AIM To optimize the processing technology of red Notoginseng Radix et Rhizoma and evaluate its blood tonifying activity.METHODS On the basis of a single factor experiment,with steaming temperature,steaming time,drying temperature,and drying time as influencing factors,the total contents of notoginsenoside R1,ginsenoside Rg1,Rb1,Rk3,Rh4,and 20(R)-ginsenoside Rg3 as evaluation indicators,Box-Behnken response surface method ology was used to optimize the processing technology.Upon the anemic mouse models jointly induced by 1-acetyl-2-phenylhydrazine(APH)and cyclophosphamide(CTX),the investigation of the blood tonifying activity of red Notoginseng Radix et Rhizoma was carried out in contrast to that of the steamed Notoginseng Radix et Rhizoma.RESULTS The optimal conditions,contributing saponin content of 8.326%and RSD of 0.087%,were determined as follows:steaming temperature of 130℃,steaming time of 4 hours,drying temperature of 60℃,and drying time of 48 h.The pharmacological activity revealed that the different processing techniques were responsible for the different blood enriching activity of notoginseng,with red Notoginseng Radix et Rhizoma displaying a better efficacy than that of steamed Notoginseng Radix et Rhizoma.CONCLUSION This stable and feasible method can be used to control the production of red Notoginseng Radix et Rhizoma.

Objective To explore the correction of beam trajectories in the presence of fringe fields in magnetic resonance imaging-guided proton therapy and dose changes in the body before and after correction.Methods The open-source treatment planning software matRad was used to design plans for brain tumor,liver tumor,and prostate cancer cases,and simulation studies were conducted in the Monte Carlo simulation toolkit TOPAS to calculate proton dose distribution.A proton beam trajectory correction model suitable for three-dimensional magnetic fields was established,and a beam trajectory correction algorithm was developed.The deflection of the proton Bragg peak in the presence of fringe fields was analyzed.Furthermore,3 treatment plans were simulated and dose correction was carried out when the fringe field existed.Gamma analysis method is used to evaluate the correction effect;and the dose changes in the target area and organs-at-risk after correction were quantitatively analyzed.Results The perturbation of the magnetic field would cause lateral deflection of the proton beam trajectory,and the presence of fringe fields would significantly increase this effect,which increased with the increasing of beam energy.When the fringe field existed,the treatment plans for brain tumor,liver tumor,and prostate cancer were corrected.Under the 3%/3 mm criterion,the gamma passing rates for target area were 94.844%,92.054%,and 97.863%,respectively,and after correction,the total dose in the body was increased by 2.8%,2.5%,and 1.5%,respectively.The increased dose was mainly contributed by incident protons.Conclusion In magnetic resonance imaging-guided proton therapy,the effects of fringe fields should be considered.The increase in incident proton beam energy after correction will lead to an increase in the total dose in the body.Since the beam trajectory still has curvature,the dose changes differently in different organs-at-risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Abstract: Objective To investigate the efficacy of capreomycin adjuvant therapy for multidrug-resistant pulmonary tuberculosis (MDR-TB) and its effect on quality of life and immune function. Methods Eighty-eight elderly pulmonary tuberculosis patients admitted to Affiliated Hospital of Hebei University from October 2019 to October 2020 were selected and divided into two groups according to the random number table method. The control group (n=44) used 4-6Am-Mfx（Lfx）-Pto-Cfz-Z-Hhigh-dose-E/5 Mfx（Lfx）-Cfz-Z-E, the research group (n=44) used capreomycin on the basis of the control group. The 6-Minute Walk Test (6MWT) measured value/predicted value and quality of life [36-Item Short Form Health Survey Questionnaire (SF-36)] scores, safety evaluation results, chest CT cavity and lesion absorption rate and sputum culture turned negative were compared between the two groups, and the serum procalcitonin (PCT) expression levels and immune function were detected before and after treatment. Results The 6MWT measured value/predicted value of the research group and control group before the treatment were (0.48±0.11) and (0.64±0.13), which were significantly higher than corresponding (0.51±0.12) and (0.58±0.14) after treatment (t=6.23, 2.520, P<0.05), the measured/expected value of 6MWT increased in both groups after treatment. Compared with the same group before treatment, the SF-36 scores for each dimension increased in both groups after treatment (P<0.01). The expression levels of serum PCT in the research group and control group before the treatment were (0.37±0.09) ng/mL and (0.12±0.03) ng/mL versus (0.36±0.11) ng/mL and (0.21±0.06) ng/mL after treatment (t=17.480, 7.940, P<0.01). Compared with the same group before treatment, serum PCT expression levels decreased in both groups after treatment. Compared with the same group before treatment, CD3+, CD4+ and CD4+/CD8+ were elevated in both groups after treatment (P<0.05 or P<0.01); after treatment, CD3+, CD4+, and CD4+/CD8+ were significantly higher in research group compared to the control group (t=4.21, 8.02, 2.04, P<0.05). The absorption rate of chest CT cavity and lesions and negative rate of sputum culture in the research group were 88.64% (39/44) and 81.82% (36/44), which were significantly higher than corresponding 63.64% (28/44) and 61.36% (27/44) in the control group (P<0.05). Conclusions　Capreomycin can improve the quality of life of MDR-TB patients, extend the 6-minute walking distance, and regulate serum PCT expression levels and immune function, to promote the absorption of chest CT cavity and lesions, and sputum culture to turn negative, and the security is acceptable.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Humans ; Fibrous Dysplasia, Polyostotic/complications* ; Hemangioma

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

This study explored the feasibility of mineral element content and ratios of nitrogen isotopes to discriminate the cultivation mode of Dendrobium nobile in order to provide theoretical support for the discrimination of the cultivation mode of D. nobile. The content of 11 mineral elements(N, K, Ca, P, Mg, Na, Fe, Cu, Zn, Mn, and B) and nitrogen isotope ratios in D. nobile and its substrate samples in three cultivation methods(greenhouse cultivation, tree-attached cultivation, and stone-attached cultivation) were determined. According to the analysis of variance, principal component analysis, and stepwise discriminant analysis, the samples of different cultivation types were classified. The results showed that the nitrogen isotope ratios and the content of elements except for Zn were significantly different among different cultivation types of D. nobile(P<0.05). The results of correlation analysis showed that the nitrogen isotope ratios, mineral element content, and effective component content in D. nobile were correlated with the nitrogen isotope ratio and mineral element content in the corresponding substrate samples to varying degrees. Principal component analysis can preliminarily classify the samples of D. nobile, but some samples overlapped. Through stepwise discriminant analysis, six indicators, including δ~(15)N, K, Cu, P, Na, and Ca, were screened out, which could be used to establish the discriminant model of D. nobile cultivation methods, and the overall correct discrimination rates after back-substitution test, cross-check, and external validation were all 100%. Therefore, nitrogen isotope ratios and mineral element fingerprints combined with multivariate statistical analysis could effectively discriminate the cultivation types of D. nobile. The results of this study provide a new method for the identification of the cultivation type and production area of D. nobile and an experimental basis for the quality evaluation and quality control of D. nobile.
Dendrobium ; Minerals ; Discriminant Analysis ; Multivariate Analysis ; Nitrogen Isotopes

Acute lung injury ( ALI) and its most extreme form a-cute respiratory distress syndrome ( ARDS) are lung diseases with high morbidity and mortality. There is no effective therapeutic intervention until now for its complicated pathophysiologi-cal processes and sophisticated regulatory mechanism. Histone deacetylases (HDACs) are a family of proteins with deacetylase activity. Studies have shown that HDACs are involved in the pathophysiological processes of ALI/ARDS, including inflammatory responses,endothelial permeability,oxidative stresses,alveolar fluid clearance and lung tissue repairment. Simultaneously, the use of HDACs inhibitors (HDACIs) can interfere with ALI/ ARDS progression. In this review we describe and summarize the pathophysiological processes and the underlying mechanisms in ALI/ARDS regulated by HDACs and HDACIs in detail, in order to provide the basis for the clinical application of HDACs-targe- ted agents and indicate directions for future study.

Histone deacetylase 3 (HDAC3) plays an important role in chromatin remodeling, which in turn regulates gene transcription, so HDAC3 is involved in the pathophysiology of various diseases through epigenetic regulation. Organ ischemia-reperfusion injury (I R I) is a pathophysiological process that leads to the development of a variety of diseases such as delayed neuronal necrosis, irreversible shock, myocardial infarction, acute organ failure and organ transplant rejection. In this paper we review the pathophysiological function of HDAC3 and its role in the development of IRI in human parenchymal organs, and also explore the therapeutic value of HDAC3 in IRI.