Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Objective To investigate the spatial distribution of Aedes albopictus in China at different time periods from 2000 to 2019, so as to provide insights into precise management of Ae. albopictus in China. Methods Data pertaining to the distribution of Ae. albopictus in China from 2000 to 2019 were collected through literature retrieval with terms of “Aedes albopictus”, “monitoring”, “survey”, “density”, “distribution”, and “outbreak” in national and international databases. The title and time of the publication, sampling sites, sampling time, mosquito capture methods, and mosquito species and density were extracted, and the longitude and latitude of sampling sites were obtained through Baidu Map. Meteorological element data at meteorological observation stations within China were obtained from the National Climatic Data Center of the United States, and the annual maximum temperature, annual minimum temperature, average temperature in January, average temperature in July, annual temperature range, daily temperature range and relative humidity were calculated and subjected to Kriging interpolation. Monthly cumulative precipitation grid data and monthly average temperature grid data with a resolution of 1 km for China from 2000 to 2019 were obtained from the National Tibetan Plateau Scientific Data Center, and the annual precipitation and annual average temperature were calculated cumulatively. Population density data in China from 2000 to 2019 were obtained from the WorldPop Hub, and the gross domestic product (GDP) in China was obtained from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. The above data were divided into 5-year intervals to calculate data during the periods from 2000 to 2004, from 2005 to 2009, from 2010 to 2014, and from 2015 to 2019. Ae. albopictus distribution data were modeled in China from 2000 to 2019 and during each period with the classification random forest (RF) model, to predict the distribution of Ae. albopictus across the country and analyze the distribution of Ae. albopictus based on the seven major climate zones in China. The performance of RF models was evaluated by accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC), and the importance of each feature in the RF model was evaluated with mean decrease accuracy (MDA). Results A total of 1 191 Chinese publictions and 391 English publications were retrieved, among which 580 articles provided detailed data on the sampling sites of Ae. albopictus and specific sampling years, meeting the inclusion criteria. A total of 2 234 Ae. albopictus sampling sites were included in China from 2000 to 2019, and RF modeling results showed that the overall Ae. Albopictus distribution area was mainly found in southeastern and southwestern provinces of China from 2000 to 2019, with scattered distribution in coastal areas of northeastern provinces, such as Liaoning Province. The accuracy, precision, recall and AUC of the RF model were 0.915 to 0.947, 0.933 to 0.975, 0.898 to 0.978, and 0.902 to 0.932 for the distribution of Ae. albopictus at different time periods from 2000 to 2019. Among all features in the RF models, population density was the most contributing factor to the distribution of Ae. albopictus in China, followed by GDP, and all meteorological variables contributed relatively less to the predictive power of the RF model. In China’s seven major climate zones, Ae. albopictus was almost entirely distributed in the marginal tropical humid region, the north subtropical humid region, and the warm temperate semi-humid region. The combined distribution area of these three zones accounted for 100.0% of the national distribution area from 2000 to 2004, from 2005 to 2009, and from 2010 to 2014, and 99.9% from 2015 to 2019, and the proportion of Ae. albopictus distribution area in the warm temperate semihumid region increased gradually from 20.2% to 30.2%. Conclusions Ae. albopictus is mainly distributed in the southeastern and southwestern provinces of China and is greatly influenced by population and economic factors. The warm temperate semi-humid region in China is gradually becoming a hot spot for the distribution of Ae. albopictus.

Objective To investigate the origin of Biomphalaria straminea in China, so as to provide insights into assessment of schistosomiasis mansoni transmission risk and B. straminea control. Methods Guanlan River, Dasha River, Shenzhen Reservoir, upper and lower reaches of Kuiyong River, and Xinzhen River in Shenzhen, China, were selected as sampling sites. Ten Biomphalaria samples were collected from each site, and genomic DNA was extracted from Biomphalaria samples. DNA samples were obtained from 15 B. straminea sampled from 5 sampling sites in Minas Gerais State, Pará State, Federal District, Pernambuco State, and Sao Paulo State in Brazil, South America. Cytochrome c oxidase I (COI) and mitochondrial 16S ribosomal RNA (16S rRNA) genes were sampled using the above DNA templates, and the amplified products were sequenced. The COI and 16S rRNA gene sequences were downloaded from GenBank, and the sampling sites were acquired. All COI and 16S rRNA gene sequences were aligned and evolutionary trees of B. straminea were created based on COI and 16S rRNA gene sequences to identify the genetic similarity and evolutionary relationship between B. straminea samples from China and South America. Results A total of 60 COI gene sequences with a length of 529 bp and 3 haplotypes were obtained from B. straminea sampled from China. There were 165 COI gene sequences of B. straminea retrieved from GenBank, and following alignment with the above 60 gene sequences, a total of 33 haplotypes were obtained. Phylogenetic analysis showed that the three haplotypes of B. straminea from China were clustered into one clade, among which the haplotype China11 and three B. straminea samples from Brazil retrieved from GenBank belonged to the same haplotype. Geographical evolution analysis showed that the B. straminea samples from three sampling sites along eastern coasts of Brazil had the same haplotype with China11, and B. straminea samples from other two sampling sites were closely, genetically related to China11. A total of 60 16S rDNA gene sequences with approximately 322 bp in length were amplified from B. straminea in China, with 2 haplotypes identified. A total of 70 16S rDNA gene sequences of B. straminea were captured from GenBank. Phylogenetic analysis showed that Biomphalaria snails collected from China were clustered into a clade, and the haplotype China64 and the haplotype 229BS from Brazil shared the same haplotype. The 49 16S rDNA gene sequences of B. straminea from 25 sampling sites in southern Brazil, which were captured from GenBank, were included in the present analysis, and the B. straminea from 3 sampling sites shared the same haplotype with China64 in China. Geographical evolution analysis based on COI and 16S rRNA gene sequences showed that B. straminea sampled from eastern coastal areas of Brazil shared the same haplotypes in two gene fragment sequences with Biomphalaria snails collected from China. Conclusions The Biomphalaria snails in China are characterized as B. straminea, which have a low genetic diversity. The Biomphalaria snails in China have a high genetic similarity with B. straminea sampled from eastern coastal areas of Brazil, which may have originated from the eastern coastal areas of Brazil.

Objective To study the traditional Chinese medicine(TCM)constitution characteristics of overweight/obese patients in Shanghai region and to investigate the correlation of TCM constitution with body composition.Methods Relevant data were collected from the patients with complete information of TCM constitution and human body composition analysis who visited the specialized outpatient clinic of acup-moxibustion catgut embedding therapy in the Department of Endocrinology,Shanghai Tenth People's Hospital from August 2020 to December 2022.The patients were divided into a normal body mass group(BMI＜24 kg/m2),an overweight group(24 kg/m2≤BMI＜28 kg/m2)and obesity group(BMI≥28 kg/m2),and then the distribution of TCM constitution types in the three groups of patients were analyzed.After that,the correlation between TCM constitution and body composition were explored with multiple regression analysis.Results(1)A total of 315 patients were included,of which 43 patients had normal body mass,85 patients were overweight and 187 patients were obese.(2)The TCM constitution types in descending order of the composition ratio in the normal body mass group and in the overweight group were spleen deficiency constitution,liver stagnation constitution,damp-heat constitution,yang deficiency constitution,and yin deficiency constitution,in the obese group were spleen deficiency constitution,yang deficiency constitution,damp-heat constitution,liver stagnation constitution,and yin deficiency constitution,and in the overweight/obese group were spleen deficiency constitution,damp-heat constitution,yang deficiency constitution,liver stagnation constitution,and yin deficiency constitution.No statistically significant differences of the distribution of TCM constitution types were shown between normal body bass population and overweight/obese population(P＞0.05).In both normal body mass population and overweight/obese population,the single body constitution type was common,and biased constitution was rare,and there was no statistically significant difference when comparing between the two groups(P＞0.05).(3)The results of multiple regression analysis showed that the basal metabolism of all patients was positively correlated with yang deficiency constitution and was negatively correlated with damp-heat constitution,and the differences were statistically significant(P＜0.01).It is indicated that if the score of yang deficiency constitution rose by one point,the basal metabolism would increase by 0.54 kcal,and if the score of damp-heat constitution decreased by one point,the basal metabolism would decrease by 1.005 kcal.Conclusion In Shanghai region,obesity may be the main indication of the variation of the body constitution.In addition to spleen deficiency constitution,the proportions of yang deficiency constitution,damp-heat constitution and liver stagnation constitution are also higher in obese patients.In terms of the correlation between TCM constitution and body composition,basal metabolism is positively correlated with yang deficiency constitution and is negatively correlated with damp-heat constitution.Therefore,for the patients with yang deficiency constitution and damp-heat constitution,the influence of the basal metabolism level on the development of the disease should be taken into account.

Objective:To evaluate the clinical application of urine sediment score (USS) in early diagnosis, etiological differentiation, staging and prognosis of acute kidney injury (AKI), and to investigate the diagnostic efficacy of independent USS and its combination with blood urea nitrogen(Bun) serum creatinine(sCr) and uric acid(UA) in AKI.Methods:From August 23 to September 28, 2023, 9 020 morning urine samples of hospitalized patients in the First Hospital of Jilin University were detected by Sysmex UF5000.A total of 3 226 ssamples with small and round cell (SRC) > 1/μl and/or CAST>1/μl were screened for microscopic examination, and 404 cases with positive renal tubular epithelial cells and/or cast were enrolled in this study. There were 218 males and 186 females, aged 59.5 (49.0, 71.0) years. The 404 cases were divided into the USS AKI group (345 cases) and the USS non-AKI group (59 cases) according to the USS results based on the microscopic findings. According to Kidney Disease: Improving Global Outcomes (KDIGO) criteria, they were divided into KDIGO criteria AKI group (63 cases) and KDIGO criteria non-AKI group (341 cases), and the AKI group was divided into renal AKI group (33 cases) and non-renal AKI group (30 cases). According to the clinical diagnosis recorded in the medical records, they were divided into clinically diagnosed AKI group (29 cases) and clinically diagnosed non-AKI group (375 cases).The χ 2 test or Fisher exact test was used to compare USS in different AKI causes and stages. Logistic regression was used to calculate the odds ratio of renal AKI and stage 3 AKI. The area under the receiver operating characteristic curve was used to evaluate the sensitivity and specificity of USS, sCr, UA and Bun alone and in combination in the diagnosis of AKI, and the best cut-off value, sensitivity and specificity in the diagnosis of AKI were calculated. P < 0.05 was considered statistically significant. Results:The USS was used to identify the etiology of KDIGO standard AKI group,and there were significant differences in USS between renal AKI group and non-renal AKI group (χ 2=11.070, P<0.001). Compared to USS=1, the odds ratio of renal AKI was 8.125 when USS≥2 (95% CI 2.208—29.901). There was a statistically significant difference in the comparison of USS between groups in each stage of the AKI staging study based on USS (χ 2=15.724, P<0.05). Compared to USS=1, the odds ratio of stage 3 AKI was 9.714 when USS≥2 (95% CI 1.145-82.390). The AUC of independent USS in the diagnosis of AKI was 0.687 (95% CI 0.618-0.757, P<0.001), the specificity was 65.7% and the sensitivity was 61.9%. The AUC of USS combined with Bun, sCr, UA in the diagnosis of AKI was 0.794 (95% CI 0.608-0.980, P<0.05), the specificity was 82.4%, and the sensitivity was 88.9%. Conclusions:There wasan increased likelihood of renal AKI or stage 3 AKI while USS≥2,and whose combination with Bun, sCr and UA will improve the diagnostic efficiency of AKI.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective To compare the predictive effects of logistic regression and machine learning models on occurrence of low peripheral oxygen saturation(SpO2)during one-lung ventilation(OLV)in pa-tients undergoing thoracoscopic partial pulmonary resection(TPPR),and to explore risk factors of low SpO2.Methods A total of 127 patients undergoing unilateral TPPR from August 1,2022 to April 30,2023 were enrolled,61 males and 66 females,aged 18-80 years,ASA physical status Ⅰ-Ⅲ.Based on whether intraoperative SpO2 during OLV was less than 90％,the patients were divided into two groups:low SpO2 group(n=21)and normal SpO2 group(n=106).Perioperative data were collected and a predic-tive model was constructed using logistic regression.This model was compared with predictive models con-structed using five machine learning models,including random forest(RF),extreme gradient boosting(XGBoost),decision tree(DT),logistic regression(LogR),and support vector machine(SVM).The re-ceiver operating characteristic(ROC)curve was plotted,and the performance of the predictive models were evaluated by the area under the curve(AUC).The best output model was interpreted using Shapley additive explanations(SHAP)to identify the risk factors of low SpO2 during OLV in patients undergoing TPPR.Results Multivariate logistic regression analysis showed that increased age(OR=1.087,95％CI 1.006-1.175,P=0.036),increased BMI(OR=1.299,95％CI 1.050-1.608,P=0.016),increased pre-operative blood glucose(OR=2.028,95％CI 1.378-2.983,P＜0.001),and decreased RV/TLC％Pred(OR=0.936,95％CI 0.892-0.983,P=0.008)were independent risk factors of low SpO2 during OLV.The predictive model was Logit(p)=-10.098+0.08 × age+0.231 × BMI+0.633 × blood glu-cose-0.059 × RV/TLC％Pred,with an AUC of 0.873(95％CI 0.803-0.943,P＜0.001).After optimi-zing parameters of machine learning models using grid search combined with five-fold cross-validation,the model training results were satisfactory.ROC curve analysis showed that the AUC for RF was 0.921(95％CI 0.840-0.979),XGBoost was 0.940(95％CI 0.812-0.981),DT was 0.919(95％CI 0.828-0.982),LogR was 0.892(95％CI 0.831-0.980),and SVM was 0.922(95％CI 0.832-0.982).XG-Boost had the highest AUC,surpassing the logistic regression model.SHAP analysis indicated that the most important risk factors in the XGBoost output model were increased age,BMI,and preoperative blood glucose concentration.Conclusion Increased age,BMI,and preoperative blood glucose concentration are signifi-cant risk factors for low SpO2 during OLV in patients undergoing TPPR.The XGBoost machine learning model outperformed traditional logistic regression in predicting the occurrence of low SpO2 during OLV.XG-Boost can analyze more complex relationships between variables and outcomes and provide more accurate in-dividualized predictions of the risk of low SpO2 during OLV.

Objective:To standardize the management of auditory hallucination symptoms in inpatients with mental illness and develop an expert consensus on the management of auditory hallucinations in hospitalized psychiatric patients.Methods:From March 2023 to July 2023, the Mental Health Committee of the Chinese Nursing Association focused on the key issues in the management of auditory hallucinations symptoms in inpatients with mental illness, based on clinical practice, using literature analysis combined with the work experience of mental health experts, and formed the first draft of the expert consensus on the management of auditory hallucinations in inpatients with mental illness (hereinafter referred to as the consensus). Through 3 rounds of expert consultation and 3 rounds of expert demonstration meeting, the draft was adjusted, revised, and improved.Results:37 experts were included in the Delphi expert consultation, 1 male and 36 females with 39-67(51.48 ± 6.61) years old. The positive coefficients of experts in 3 rounds of Delphi expert consultations were all 100%, and the degrees of expert authority were 0.924, 0.938 and 0.949, respectively. The average importance value of each item was higher than 4.00, the variation coefficient of each item was less than 0.25. The Kendall harmony coefficient of the experts were 0.179, 0.195 and 0.198, respectively (all P<0.05). There were 15, 12, 12 experts in the first, seeond, third rounds of expert demonstration meeting. Finally, a consensus was reached on the recommendation of 4 parts, included auditory hallucination assessment, management format, symptom management implementation, and precautions. Conclusions:The consensus covers all parts of the management of auditory hallucination symptoms in hospitalized patients with mental disorders, which is practical and scientific. It is helpful to guide mental health professionals to standardize the management of auditory hallucination symptoms, improve the quality of nursing and ensure the safety of patients.

Since the outbreak of corona virus disease 2019 (COVID-19), viral strains have mutated and evolved. Vaccine research is the most direct and effective way to control COVID-19. According to different production mechanisms, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines included inactivated virus vaccine, live attenuated vaccine, mRNA vaccine, DNA vaccine, viral vector vaccine, virus-like particle vaccine and protein subunit vaccine. Among them, viral protein subunit vaccine has a wide application prospect due to its high safety and effectiveness. Viral nucleocapsid protein has high immunogenicity and low variability which could be a new direction for vaccine production. We summarized the current development of vaccine research by reviewing the current progress, vaccine safety and vaccine immune efficiency. It is hoped that the proposed possible development strategies could provide a reference for epidemic prevention work in future.
Humans ; SARS-CoV-2/genetics* ; COVID-19/prevention & control* ; Protein Subunits ; Vaccines, DNA ; Nucleocapsid Proteins

OBJECTIVE: To investigate the expression and clinical significance of T helper cell 9 (Th9) and its cytokine interleukin 9(IL-9) in peripheral blood of patients with chronic lymphocytic leukemia(CLL). METHODS: A total of 43 newly diagnosed patients with chronic lymphocytic leukemia in the First Affiliated Hospital of Xinjiang Medical University from June 2021 to June 2022 were selected as the case group. The patients were divided into Binet A group (13 cases), Binet B group (20 cases) and Binet C group (10 cases) by Binet staging system, and 20 healthy volunteers who underwent physical examinationin in our hospital in the same period served as control group. The proportion of Th9 cells in peripheral blood was detected by flow cytometry, the expression level of Th9 specific transcription factors PU.1 and IRF4 was detected by Western blot, and the expression level of serum cytokine IL-9 was detected by ELISA. The proportion of Th9, the expression of PU.1, IRF4 and IL-9 in each group were compared, and the correlation between the proportion of Th9, IL-9 and clinicopathological indexes of CLL patients was analyzed. RESULTS: The proportion of Th9, the expression of PU.1, IRF4 and IL-9 in CLL group were significantly higher than those in control group (P<0.05), the proportion of Th9 and the expression of IL-9 in Binet B and C group were higher than those in Binet A group (P<0.05), but there was no significant difference in the proportion of Th9 cells between Binet B group and C group (P>0.05). The expression of IL-9 in Binet C group was significantly higher than that in Binet B group (P<0.05) . The proportion of Th9 cells and IL-9 were highly expression in patients with β2 microglobulin abnormality, IGHV unmutation, P53 abnormality and hepatosplenic lymph node enlargement(P<0.05), but not related to age and sex (P>0.05). The results of Spearman correlation analysis showed that the proportion of Th9 in patients with CLL was negatively correlated with the lymphocytic account and lymphocyte proportion(r_s=-0.32，r_s=-0.34). The proportion of Th9 and IL-9 were positively correlated with Binet stage, Rai stage and CLL-IPI Scoring (r_s=0.79，r_s=0.54，r_s=0.58； r_s=0.72，r_s=0.63，r_s=0.45), but not with WBC, CD4⁺ T cells and CD8⁺T cells (P>0.05). The proportion of Th9 was positively correlated with IL-9 (r_s=0.53). CONCLUSION Th9 cells and IL-9 are abnormally highly expressed in CLL, which is related to the poor prognosis of CLL.
Humans ; Leukemia, Lymphocytic, Chronic, B-Cell/genetics* ; Interleukin-9 ; Clinical Relevance ; T-Lymphocytes, Helper-Inducer/pathology* ; Cytokines