Objective To explore the medication rules of Professor HUANG Li for the treatment of recurrent angina pectoris after percutaneous coronary intervention(PCI)for coronary heart disease by data mining method.Methods The prescriptions for effective cases of recurrent angina pectoris after PCI for coronary heart disease treated by Professor HUANG Li in the outpatient department of China-Japan Friendship Hospital were collected.SPSS Statistics 26.0 software and SPSS Modeler 18.0 software were used for frequency statistics,analysis of the therapeutic actions,properties,flavors and meridian tropism of the prescribed herbs as well as association rule analysis,cluster analysis and factor analysis of the herbs.Results A total of 344 Chinese medicine prescriptions were obtained,involving 209 herbs,with a cumulative frequency of 5 874 times.The top 30 Chinese medicinals were named as the high-frequency Chinese medicines,and the herbs with the frequency over 100 times in descending order were Astragali Radix,Chuanxiong Rhizoma,Puerariae Lobatae Radix,Rhodiolae Crenulatae Radix et Rhizoma,Notoginseng Radix et Rhizoma,Poria,Dalbergiae Odoriferae Lignum,Atractylodis Macrocephalae Rhizoma,Curcumae Rhizoma,Sparganii Rhizoma,Dioscoreae Rhizoma,Citri Reticulatae Pericarpium,Pinelliae Rhizoma Praeparatum,Codonopsis Radix,and Glycyrrhizae Radix et Rhizoma.The high-frequency Chinese medicinals were mostly classified as blood-activating and stasis-resolving drugs and qi-replenishing drugs.The medicinal properties of the drugs were characterized by being warm,mild,or cold,the flavors were predominated by being sweet,pungent or bitter,and the medicinals usually had the meridian tropism of the spleen,lung and liver meridians.A total of 30 association rules were mined out,cluster analysis yielded 5 herbal groups,and factor analysis yielded 11 groups of common factors.Conclusion For the treatment of cardiovascular diseases,Professor HUANG Li follows the theory of qi,blood and water,and especially pays more attention to the ascending and descending of qi movement.For qi deficiency and blood stasis contribute to the basic pathogenesis of recurrent angina pectoris after PCI,the therapy of benefiting qi,activating blood and removing stasis is recommended.Moreover,the simultaneous regulation of five zang-organs and simultaneous use of the cold and warm herbs are performed,and the herbs of benefiting qi and invigorating spleen,resolving phlegm and inducing diuresis,tranquilizing mind,promoting qi and dissipating masses,and activating blood to eliminate stasis are used for adjuvant therapy.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

AIM To study the chemical constituents from the heartwood of Dalbergia cochinchinensis Pierre ex Laness.METHODS The 70%ethanol extract from the heartwood of D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULT Twenty-three compounds were isolated and identified as 3-O-acetylbetulin aldehyde(1),2,2'-oxybis(1,4-di-tert-butylbenzene)(2),ethyl 4-hydroxybenzoate(3),1-acetyl-β-carboline(4),7-hydroxydihydroflavone(5),palmic acid(6),hexadeca-4,7-diene(7),linoleic acid(8),methyl 4-hydroxybenzoate(9),2-(2-hydroxy-1-methyl-2-phenythyl)-4,5-dimethoxyphenol(10),2-methoxy-3-hydroxyxanthone(11),dibutyl terephthalate(12),6,4'-dihydroxy-7-methoxyflavan(13),pteroyanin G(14),benzoic acid,4-ethoxy-2-methoxy-,methyl ester(15),liquiritigenin(16),4,2',5'-trihydroxy-4'-methoxychalcone(17),7-hydroxy-6-methoxyflavone(18),6,4'-dihydroxy-7-methoxyflavone(19),2'-hydroxyformonetin(20),3'-methoxyformonetin(21),3'-hydroxyformonetin(22),6,7,4'-trihydroxyflavanone(23).CONCLUSION Compounds 2,4 are isolated from genus Dalbergia for the first time.Compounds 6-8,19,21 are isolated from this plant for the first time.

Applying Chinese medicine (CM) is an important strategy for malignant tumor treatment in China. One of the significant characteristics of CM is to treat diseases based on syndrome differentiation. For Western medicine, it is of important clinical significance to formulate guidelines for the diagnosis and treatment of cancer patients based on the characteristics of disease differentiation. In Chinese clinical practice, the combination of disease differentiation and syndrome differentiation is an important feature for cancer treatment in the past. Currently, molecular profiling and genomic analysis-based precision medicine optimizes the anticancer drug design and holds the greatest success in treating cancer patients. Therefore, we want to know which populations of cancer patients can benefit more from CM treatment if the theory of precision medicine is applied to CM clinical practice. So, we developed a novel diagnostic and therapeutic strategy "disease-syndrome differentiation-genomic profiling-prescriptions" for cancer patients by CM syndrome differentiation and precision medicine. As a result, this strategy has greatly enhanced the anti-tumor efficacy of CM and improved clinical outcomes for cancer patients with some gene mutations. Our idea will hopefully establish a novel approach for the inheritance and innovation of CM.
Antineoplastic Agents ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional ; Neoplasms/therapy* ; Precision Medicine ; Syndrome

Objective:To quickly analyze and identify the components in raw and wine-processed products of Polygonatum cyrtonema （PC） dried rhizomes by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and then find out the differential components before and after processing. Method:The ACQUITY UPLC BEH C₁₈ column （2.1 mm×100 mm， 1.8 μm） was used with 0.1% formic acid aqueous solution-acetonitrile as the mobile phase for gradient elution at a flow rate of 0.25 mL·min^-1. Electrospray ionization was selected for collection and detection in positive and negative ion modes， and the data were analyzed by PeakView 1.2.0.3. According to the retention time， accurate relative molecular weight and fragmentation ion information provided by MS， and combined with the reference substance and literature， the components were identified. After normalized treatment， the MS data of each sample were analyzed with principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened according to the principle that variable importance in the projection （VIP） value was >1. Result:A total of 38 components were identified from raw and wine-processed products of PC dried rhizomes， including 15 steroidal saponins， 6 alkaloids， 3 flavonoids， 2 amino acids， 2 organic acids and 10 others. The results of PCA and OPLS-DA showed that there were significant differences in the contents of components in PC dried rhizomes before and after processing， and 16 differential components such as kingianoside Z， disporopsin and linoleic acid were screened. Conclusion:UPLC-Q-TOF-MS technique can accurately and comprehensively identify the components in PC dried rhizomes， these components are mainly steroidal saponins， flavonoids and alkaloids. It takes a great difference in the contents of components before and after processing， and transformation of the same category components is the main reason for the differences of raw and wine-processed products， which will provide reference for the researches on material basis and processing chemistry of PC dried rhizomes.

BACKGROUND: It has been a global trend that increasing complications related to pelvic floor surgeries have been reported over time. The current study aimed to outline the development of Chinese pelvic floor surgeries related to pelvic organ prolapse (POP) over the past 14 years and investigate the potential influence of enhanced monitoring conducted by the Chinese Association of Urogynecology since 2011. METHODS: A total of 44,594 women with POP who underwent pelvic floor surgeries between October 1, 2004 and September 30, 2018 were included from 22 tertiary academic medical centers. The data were reported voluntarily and obtained from a database. We compared the proportion of each procedure in the 7 years before and 7 years after September 30, 2011. The data were analyzed by performing Z test (one-sided). RESULTS: The number of different procedures during October 1, 2011-September 30, 2018 was more than twice that during October 1, 2004-September 30, 2011. Regarding pelvic floor surgeries related to POP, the rate of synthetic mesh procedures increased from 38.1% (5298/13,906) during October 1, 2004-September 30, 2011 to 46.0% (14,107/30,688) during October 1, 2011-September 30, 2018, whereas the rate of non-mesh procedures decreased from 61.9% (8608/13,906) to 54.0% (16,581/30,688) (Z = 15.53, P < 0.001). Regarding synthetic mesh surgeries related to POP, the rates of transvaginal placement of surgical mesh (TVM) procedures decreased from 94.1% (4983/5298) to 82.2% (11,603/14,107) (Z = 20.79, P < 0.001), but the rate of laparoscopic sacrocolpopexy (LSC) procedures increased from 5.9% (315/5298) to 17.8% (2504/14,107). CONCLUSIONS: The rate of synthetic mesh procedures increased while that of non-mesh procedures decreased significantly. The rate of TVM procedures decreased while the rate of LSC procedures increased significantly. TRIAL REGISTRATION NUMBER NCT03620565, https://register.clinicaltrials.gov.
China ; Female ; Gynecologic Surgical Procedures/adverse effects* ; Humans ; Pelvic Floor/surgery* ; Pelvic Organ Prolapse/surgery* ; Surgical Mesh/adverse effects* ; Treatment Outcome ; Vagina

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L. japonica information that is relatively fragmented in the image, and realize the fine classification of L. japonica. After training and optimization, the overall classification accuracy of L. japonica can reach 97.5%, and total area accuracy is 94.6%, which can provide a reference for the application of deep convolutional neural network method in remote sensing classification of Chinese medicinal materials.
Lonicera ; Neural Networks, Computer ; Remote Sensing Technology

Objective To analyze the demand for non-occupational post-exposure prophylaxis (nPEP) services and related influencing factors among men who have sex with men (MSM) in Liuzhou City, Guangxi Province. Methods MSM was recruited in Liuzhou City, Guangxi Province. Face-to-face survey was used to collect demographic information, knowledge about AIDS, history of high-risk behavior, knowledge and demand for nPEP services. 2 test was used to analyze the differences of demand for nPEP services among MSM with different characteristics and different high-risk behaviors. Log-binomial regression model was used to analyze the influencing factors of demand for nPEP services. Prevalence ratio and 95% confidence interval were calculated. Results 31.1% of MSM population had heard of nPEP service, and 61.6% of them needed the service after being informed of nPEP about its protective effect. 58.6% of MSM would spend money to buy nPEP service after high-risk behavior. Logistic regression analysis showed that the education level was university degree or above (PR=2.743, 95% CI: 1.996-3.450), the perception of the local MSM AIDS epidemic was not serious or unknown (PR=0.211, 95% CI: 0.112-0.294), and the number of temporary sexual partners in half a year was 2 or more (PR=3.642, 95% CI: 2.223-4.842), these subjects above were influencing factors of nPEP service demanded for respondents. Conclusions MSM population in Liuzhou area of Guangxi have a certain need for nPEP service. We should implement nPEP service as soon as possible in accordance with local conditions, and strengthen the corresponding propaganda to reduce the harm of AIDS to MSM population.

OBJECTIVE: To study the clinical features of Wiskott-Aldrich syndrome (WAS) in children. METHODS: A retrospective analysis was performed for the clinical data of 13 children with WAS. RESULTS: All 13 children were boys, with a median age of onset of 3 months (range 1-48 months) and a median age of 24 months (range 1-60 months) at the time of diagnosis. Of the 13 children, only 3 had typical WAS and the remaining 10 children had X-linked thrombocytopenia (XLT). The mean WAS score was 2 (range 1-3), the mean platelet count was 20.5×10/L [range (13-46)×10/L], and the mean platelet volume was 8.1 fl (range 6.7-12.1 fl). Lymphocyte subsets and immunoglobulins were measured for 4 children, among whom 1 (25%) had a reduction in both the percentage of CD3T cells per lymphocyte and lymphocyte per nuclear cells, 1(25%) had a reduction in CD3CD56 NK cells. Among these 4 children, 1 (25%) had an increase in IgG, 2 (50%) had a reduction in IgM, 1 (25%) had a reduction in IgA, and 4 (100%) had an increase in IgE. A total of 14 gene mutations belonging to 13 types were found in 13 children, among which there were 9 missense mutations (65%), 2 splicing mutations (14%), 2 nonsense mutation (14%), and 1 frameshift mutation (7%). The median follow-up time was 39 months (range 3-62 months), and all 13 children survived. CONCLUSIONS Children with WAS often have a young age of onset, and most of them are boys. Major clinical features include thrombocytopenia with a reduction in platelet volume. Missense mutation is the main type of gene mutation.
Child, Preschool ; Humans ; Infant ; Male ; Mutation ; Retrospective Studies ; Thrombocytopenia ; Wiskott-Aldrich Syndrome ; Wiskott-Aldrich Syndrome Protein