Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98％,predominantly mono-resistance(48.24％)and multidrug-resistance(28.24％).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95％CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95％CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95％CI(1.926-8.973),P＜0.001],pleural effusion[OR=2.563,95％CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95％CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95％CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.

Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98％,predominantly mono-resistance(48.24％)and multidrug-resistance(28.24％).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95％CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95％CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95％CI(1.926-8.973),P＜0.001],pleural effusion[OR=2.563,95％CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95％CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95％CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.

Objective To compare the biomechanical stability of three cross-bridge headless compression screws and lock-ing plates in the fixation of Mason type Ⅲ radial head fractures by finite element method.Methods Using reverse modeling technology,the radial CT data and internal fixation data of a healthy 25-year-old male were imported into the relevant software.Three-dimensional finite element model of 3 cross-bridge headless compression screws and locking plates for Mason Ⅲ radial head fractures were established,and the radial head was loaded with 100 N axial loading.The maximum displacement,maxi-mum Von Mises stress and stress distribution of the two groups were compared.Results The maximum displacements of the three cross-bridge screws group and locking plate group were 0.069 mm and 0.087 mm respectively,and the Von Mises stress peaks were 18.59 MPa and 31.85 MPa respectively.The stress distribution of the three screws group was more uniform.Con-clusion Both internal fixation methods can provide good fixation effect.CoMPared with the locking plate fixation method,the 3 cross-bridge headless compression screws fixation is more stable and the stress distribution is more uniform.

Abstract: Objective　To investigate the infection of Anisakis in marine fish sold in Fuxin, and conduct molecular identification and evolutionary tracing of third-stage larvae to determine Anisakis species. Methods　From 2018 to 2021, marine fish sold in the market were collected randomly, and the third stage larvae of Anisakis were detected in marine fish sold in the market by direct dissection, and the morphological characteristics were used to preliminarily identify species by microscopy; the total DNA was extracted, the internal transcribed spacer sequence of the ribosomal DNA of Anisakis was amplified, and the sequence alignment and evolution analysis were carried out. Results　A total of 289 market-sold sea fish samples of marine fish sold in the market were dissected and 84 samples of Anisakis were detected with a detection rate of 29.1%, of which the infection rates of hairtail and small yellow croaker were higher, at 41.4% and 41.2%, respectively. BLAST comparison of 28 sequences revealed eight species of anisakids, including Anisakis pegreffii, Anisakis simplex, Anisakis typical, Raphidascaris trichiurid, Contracaecum muraenesoxi, Hysterothylcaium zhoushanensis, Hysterothylacium amoyense and Hysterothylcaium fabri,belonging to the genera Anisakis and Hysterothylacium. The phylogenetic tree constructed from 28 sequences generally formed two topological branches, with Anisakis pegreffii, Anisakis simplex, and Anisakis typical forming three separate clusters as the topology branch of Anisakis genus. However, meanwhile, Hysterothylacium, Contracaecum, and Raphidascaris formed a separate topological branch. Conclusions　The marine fish sold in Fuxin City have severe anisakid infection, with a wide variety of anisakid species, the dominant species being Anisakis pegreffii.

OBJECTIVE: To compare the efficacy between acupuncture-moxibustion treatment by stages and femoston for premature ovarian insufficiency (POI). METHODS: A total of 66 patients with POI were randomly divided into an observation group (33 cases, 3 cases dropped off) and a control group (33 cases, 2 cases dropped off). The patients in the observation group, based on the theory of "transformation of RESULTS: Compared before treatment, the serum levels of FSH and LH were decreased ( CONCLUSION Acupuncture- moxibustion treatment by stages based on the theory of "transformation of
Acupuncture Points ; Acupuncture Therapy ; Female ; Follicle Stimulating Hormone ; Humans ; Moxibustion ; Primary Ovarian Insufficiency/therapy*

Objective:To investigate constituents containing phenolic hydroxyl or carboxylic acid （excluding diarylheptanoids） from Curcumae Rhizoma and Sparganii Rhizoma herbal pair and single herb. Method:Multiple chromatographic separation techniques， including silica gel，MCI gel and Sephadex LH-20 gel， were employed to isolate and purify the compounds. Their structures were identified by means of the nuclear magnetic resonance （NMR），mass spectrometry （MS） and physicochemical properties. Constituents were quickly analyzed by UPLC-LTQ-Orbitrap-MSⁿ，and scanned in positive and negative ion modes. Result:These compounds were determined as trans-p-hydroxycinnamic acid（1），vanillic acid（2），protocatechuic acid（3），fumalic acid（4），succinic acid（5），succinic acid monomethyl ester（6），docosanoic acid（7），azelaic acid（8） and p-hydroxybenzaldehyde（9）. Forty compounds were speculated by comparing mass spectrometry data，retention times of some compounds and reference materials，including 14 phenols and 26 organic acids. Among the compounds of herbal pair，8 phenols and 22 organic acids in Sparganii Rhizoma as well as 11 phenols and 13 organic acids in Curcumae Rhizoma were identified. Cleavage pathways of main compounds were described. Conclusion:There are abundant phenols and organic acids in Curcumae Rhizoma and Sparganii Rhizoma herbal pair and single herb. The results enrich pharmacodynamic material basis of Curcumae Rhizoma and Sparganii Rhizoma herbal pair.