ObjectiveTo explore the distribution pattern of tongue image characteristics in patients with glucolipid metabolic disorders and its main syndromes. MethodsA total of 841 patients with glucolipid metabolic disorders （disease group）， and 380 healthy subjects （control group） were included. The disease group was classified into three syndrome types： 283 cases of liver depression and spleen deficiency syndrome， 311 cases of phlegm-dampness obstruction syndrome， and 247 cases of qi stagnation and blood stasis syndrome. Tongue image data were collected using the TFDA-1 Tongue Diagnosis Instrument， and the TDAS V3.0 software was used to analyze the color， texture， and morphological features of the tongue body （TB） and tongue coating （TC） in patents with different syndromes of disease group （including lightness （L）， red-green axis （a）， yellow-blue axis （b）， luminance （Y）， difference between red signal and brightness （Cr）， difference between blue signal and brightness （Cb）， contrast （CON）， angular second moment （ASM）， entropy （ENT）， mean value （MEAN）， tongue coating area/tongue surface area （perAll）， and tongue coating area/non-coated area （perPart））. Logistic regression analysis was conducted to identify influencing factors for different syndrome types of glucolipid metabolic disorders. ResultsThe tongue body indicators TB-L， TB-Y， and TB-Cb in the disease group were significantly higher than those in the control group， while TB-a， TB-b， and TB-Cr were significantly lower. The tongue coating indicators TC-L， TC-Y， TC-Cb， perAll， and perPart in the disease group were significantly higher than those in the control group， while TC-a， TC-b， and TC-Cr were significantly lower （P＜0.05）. Comparing with the different syndromes in disease group， the TB-L and TB-Y of the liver depression and spleen deficiency syndrome， and the phlegm-damp obstruction syndrome were higher than those of the qi stagnation and blood stasis syndrome； the TB-a and TB-Cr of the phlegm-damp obstruction syndrome were lower than those of the qi stagnation and blood stasis syndrome； the perAll of the phlegm-damp obstruction syndrome was higher than that of the qi stagnation and blood stasis syndrome （P＜0.05）. In the analysis of the morphological characteristics of tongue signs， more spotted tongue in disease group compared with control group， more teeth-marked tongue in liver depression and spleen deficiency syndrome than the other two syndromes， more greasy coating in phlegm-damp obstruction syndrome， and more stasis spots of tongue in qi stagnation and blood stasis syndrome （P＜0.05）. Logistic regression analysis identified that greasy coating， spotted tongue， stasis spots of tongue， tooth-marked tongue， perAll， and TB-Cb are the influencing factors of liver depression and spleen deficiency syndrome； greasy coating， tooth-marked tongue， TC-Cb， and TC-Cr are the influencing factors of phlegm-damp obstruction syndrome； cracked tongue， stasis spots of tongue， tooth-marked tongue， and TB-Y are the influencing factors of qi stagnation and blood stasis syndrome （P＜0.05）. ConclusionCompared to healthy individuals， patients with glycolipid metabolic disorder have darker tongue color and thicker， greasy tongue coating. Glycolipid metabolic disorder patients of liver depression and spleen deficiency syndrome exhibit a reddish tongue with finer textures and more tooth marks； patients of phlegm-damp obstruction syndrome have lighter tongue coating with a coarser texture and a higher prevalence of greasy coating； patients of qi stagnation and blood stasis syndrome display lower tongue brightness with a higher prevalence of blood stasis spots.

ObjectiveTo analyze the drug resistance and the molecular typing characteristics through pulsed field gel electrophoresis (PFGE) of Campylobacter spp. isolated from patients with infectious diarrhea in Baoshan District of Shanghai, and to provide a basis for Campylobacter spp. prevention and control and clinical medication. MethodsCampylobacter spp. was isolated, cultured and identified from stool samples of diarrheal patients collected from medical institutions at two monitoring sites in Baoshan District from 2019 to 2022. Antimicrobial susceptibility testing for 12 antibiotics was conducted on the isolated Campylobacter jejuni (C. jejuni) and Campylobacter. Coli (C. coli), and molecular typing was performed using PFGE. ResultsA total of 179 strains of Campylobacter spp. were isolated from 1 786 samples of diarrheal patients, with a positive rate of 10.02%. The highest resistance rate of C. jejuni was to ciprofloxacin (98.63%), followed by tetracycline (97.26%) and nalidixic acid (89.73%). C. coli was completely resistant to ciprofloxacin and nalidixic acid (100.00%), followed by tetracycline (90.91%). The multidrug resistance rates of C. jejuni and C. coli were 89.73% and 100.00%, respectively. 142 strains of C. jejuni produced 122 PFGE bands, while 33 strains of C. coli produced 33 PFGE bands, and the distribution of the bands was relatively dispersed. ConclusionFrom 2019 to 2022, the detection rate of Campylobacter in diarrheal patients was relatively high in Baoshan District of Shanghai, the multidrug resistance rate of Campylobacter isolates from diarrheal patients was relatively serious, in addition, the drug resistance pattern was complex, and the PFGE band pattern displayed a polymorphic distribution.

ObjectiveTo investigate the high-risk detection rate and aggregation of cardiovascular diseases（CVD） in 8 districts of Shanghai and influencing factors， and to provide scientific references for prevention and control of CVD. MethodsBased on the Cardiovascular Disease Screening and Management Program in Shanghai from 2016 to 2021， 104 685 participants aged 35 to 75 in 8 districts of Shanghai were selected for analysis. χ² test and multivariate logistic regression were used for statistical analysis of the influencing factors of CVD and aggregation of CVD. ResultsThe proportion of high-risk CVD individuals in the population was 19.17%， including the high-risk individuals with hypertension （8.65%）， dyslipidemia （6.33%）， CVD history （5.58%）， and WHO assessed risk ≥20% types （2.69%）， respectively. Old age， overweight and obesity， central obesity， smoking， drinking， farmers， unmarried， and low family income were the risk factors of CVD， while high education level was the protective factor. In the participants， 16 323 people （81.34%） were classified as CVD high-risk groups； The number of aggregation of 1， 2 and ≥3 high risk types of CVD were 16 323（81.34%）， 3 236（16.13%）， 509（2.54%）， respectively. Old age， low education level， low annual family income， farmers， unmarried， smoking， drinking， overweight， obesity and central obesity were associated with the risk of aggregation of high risk types of CVD， and the correlation strength increased with the increase of aggregation types. ConclusionThe prevention and control of CVD in Shanghai should focus on the hypertension， elderly， overweight， obesity， central obesity， smoking， drinking， low educated， low family income， farmers and unmarried people， and targeted intervention measures should be taken to reduce the risk of CVD among residents.

Sha （痧） is an acute infectious disease characterised by the appearance of rashes on the skin， caused by exposure to epidemic toxin and pestilent qi. Sha Zhang Yu Heng （《痧胀玉衡》） discussed the treatment principles and methods， and listed collateral bloodletting as one of the main treatments. Through organizing the articles and proved cases， we found that the author believes Sha （痧） is caused by epidemic pathogen， belonging to heat toxin with rapid changes， so timely treatment for qi and blood simultaneously could achieve the effect of transforming qi into defensive qi. Sha Zhang Yu Heng focuses on patient's position during treatmet， the material of the needle， the site of treatment， the quantum of stimulation and the operation of the contraindications and other essentials. According to the depth of the disease location， use traditional Chinese herbal medicine， scraping together to identify the root of the disease. In addition， diet suggestions for the prevention of the recrudescence of disease are also described in detail.

Tuberculosis （TB） and human immunodeficiency virus infection / acquired immune deficiency syndrome （HIV/AIDS） are both serious global public health threats. Early detection of infected persons and/or patients through TB/HIV bi-directional screening is crucial for prevention and control strategy in China and globally. In recent years， with the promotion and application of new TB and HIV detection technologies worldwide， TB/HIV bi-directional screening technologies and strategies have made remarkable changes. This expert consensus introduces the significance and challenges of TB/HIV bi-directional screening， summarizes important progress of research and applications， and makes recommendations on screening measures and procedures to further strengthen TB/HIV bi-directional screening in China.

The incidence of osteoporotic thoracolumbar vertebral fracture (OTLVF) in the elderly is gradually increasing. The kyphotic deformity caused by various factors has become an important characteristic of OTLVF and has received increasing attention. Its clinical manifestations include pain, delayed nerve damage, sagittal imbalance, etc. Currently, the definition and diagnosis of OTLVF with kyphotic deformity in the elderly are still unclear. Although there are many treatment options, they are controversial. Existing guidelines or consensuses pay little attention to this type of fracture with kyphotic deformity. To this end, the Lumbar Education Working Group of the Spine Branch of the Chinese Medicine Education Association and Editorial Committee of Chinese Journal of Trauma organized the experts in the relevant fields to jointly develop Clinical guidelines for the diagnosis and treatment of osteoporotic thoracolumbar vertebral fractures with kyphotic deformity in the elderly ( version 2024), based on evidence-based medical advancements and the principles of scientificity, practicality, and advanced nature, which provided 18 recommendations to standardize the clinical diagnosis and treatment.

Objective:To establish a lumbosacral triangle (composed of L 5 transverse process, S 1 superior articular process, sacral ala and iliac crest) classification and to guide L 5S 1 endoscopic surgery. Methods:A total of 647 patients with low back pain who admitted to Tianjin Hospital from January 2016 to October 2018 were retrospectively analyzed, including 315 males and 332 females, aged 42.9±15.1 years (range, 19-74 years). The L 5 transverse process sacral distance (TSD), inter trans-verse process length (ITL), interlaminar width (ILW), interlaminar height (ILH), iliosacral angle (ISA), iliac crest height (IH), intervertebral space height (ISH), intervertebral foramen height (IFH), and intervertebral foramen width (IFW) were measured based on lumbar spine anterior-posterior and lateral radiographs. Spearman correlation analysis and hierarchical cluster analysis were used to establish the lumbosacral triangle classification. A total of 822 patients underwent endoscopic L 5S 1 surgery based on lumbosacral triangle classification guidance and verification in Tianjin Hospital from January 2020 to December 2022, including 421 males and 401 females, aged 45.1±16.7 years (range, 15-79 years). The visual analogue scale (VAS) and Oswestry disability index (ODI) were compared before and after surgery, and the Macnab criteria were used to assess surgical outcomes. Results:Spearman correlation analysis showed positive correlations between IH and ISA ( r=0.75, P<0.001), IFH and IFW ( r=0.60, P<0.001), TSD and IFH ( r=0.53, P<0.001), and TSD and IFW ( r=0.40, P<0.001). There was a negative correlation between TSD and IH ( r=-0.46, P<0.001), TSD and ISA ( r=-0.42, P<0.001), IFW and ISA ( r=-0.41, P<0.001), IFW and IH ( r=-0.50, P<0.001), IFH and IH ( r=-0.42, P<0.001). According to Spearman correlation analysis, hierarchical cluster analysis and receiver operating characteristic curve, lumbosacral angle was divided into three types: Type 1, L5 transverse process overlapped with sacral alar; Type 2, 07 mm. Based on lumbosacral triangle classification, different endoscopic techniques were used at L5S1 in 822 patients, including interlaminar approach single-axis endoscopy, trans-foraminal approach single-axis endoscopy, trans-foraminal fenestration approach mobile microendoscopy and unilateral biportal endoscopy, the VAS and ODI of all the patients decreased than those preoperative in immediate postoperative period, half a year postoperative period and the final follow up, and the difference was statistically significant ( P<0.05). At the last follow-up, the Macnab score was excellent in 278 cases, good in 475 cases, and fair in 69 cases, with an excellent and good rate of 91.6% (753/822). Conclusion:Lumbosacral triangle classification is simple and practical, and can effectively guide L5S1 endoscopic surgery.

Objective:To establish an artificial intelligence-based surgical selection system utilizing deep learning to assist in the decision-making process for lumbar endoscopic surgery.Methods:General data of 1,110 patients who underwent percutaneous transforaminal endoscopic discectomy, 804 patients who underwent percutaneous interlaminar endoscopic discectomy, 923 patients who underwent mobile microendoscopic discectomy and 623 patients who underwent unilateral biportal endoscopic in Tianjin Hospital from January 2018 to June 2023 were included in the study. Clinical outcomes were assessed using the visual analogue scale (VAS) for leg and back pain, the Oswestry disability index (ODI), and MacNab criteria both before surgery and 12 months postoperatively. Using a random number table method, patients were divided into a training dataset (2,768 cases) and a test dataset (692 cases) at a ratio of 4∶1. Patient clinical symptoms, physical signs, and multi-modal imaging data were input into a deep learning model. This model was structured into three main modules: intervertebral disc detection, surgical necessity identification, and surgical recommendation. The final surgical method was determined using a convolutional neural network incorporating U-Net for segmentation and ResNet for classification. The accuracy and recall rates of each module were evaluated using the test dataset.Results:Compared to preoperative values, all patients showed significant improvements at the 12-month postoperative follow-up. For patients who underwent percutaneous transforaminal endoscopic discectomy, percutaneous interlaminar endoscopic discectomy, mobile microendoscopic discectomy, and unilateral biportal endoscopic surgery, the VAS scores for leg pain decreased from 7.69±0.80, 7.82±0.88, 7.62±0.69, and 7.56±1.00 preoperatively to 1.44±1.09, 1.35±0.82, 1.51±1.08, and 1.43±0.91 postoperatively. Similarly, the VAS scores for back pain decreased from 5.73±0.83, 6.17±0.99, 6.11±0.88, and 6.46±0.95 to 0.93±0.75, 1.01±0.67, 1.40±0.72, and 1.27±0.70, respectively. Additionally, the ODI significantly decreased from 39.91%±4.50%, 40.05%±8.05%, 47.08%±9.50%, and 44.43%±4.71% preoperatively to 5.77%±2.22%, 6.05%±2.31%, 8.51%±2.16%, and 9.51%±3.70% postoperatively, with all differences being statistically significant ( P<0.05). The excellent rate according to the MacNab criteria was 93.12% (3,222/3,460). In the deep learning model, the multi-modal data of 2,768 patients were input in the training set for deep learning to form a surgical identification and operation recommendation system, and the preoperative data of 692 patients were input in the test set to compare with the final operation method. In the intervertebral disc location module, the accuracy of location and designation of the five lumbar intervertebral discs was 97.1%(672/692). In the module of intervertebral disc need for surgery, the accuracy was 94.8%(3,280/3,460) and the recall rate was 91.9%(636/692). As for patients, the accuracy rate was 91.9%(636/692). In the operation recommendation module, the accuracy rate of operation recommendation based on intervertebral disc was 89.5%(569/636), and the accuracy rate of surgical recommendation based on patient was 82.2%(569/692). Conclusion:In this study, an artificial intelligent surgical procedures selection system based on deep learning was established, which could effectively integrate relevant data and accurately guide the selection of lumbar endoscopic surgery.

In recent years, with the advancement of diagnostic and treatment technology, lumbosacral extra-canal nerve root entrapment has gradually attracted attention. Patients often have hypertrophy of the transverse process, high iliac spine, proliferation of the articular process joints and iliopsoas ligaments, and extreme lateral herniation of the intervertebral disc, mostly classified as type 1-2 in the lumbosacral triangle, because of which misdiagnosis is not uncommon in clinic. Diffusion tensor imaging and magnetic resonance neurography can display the compressed nerve root. The main purpose of surgical treatment is to fully relieve nerve compression and thus appropriate surgical techniques should be selected based on the site of compression and the classification of the lumbosacral triangle, including paraspinal or Wiltse approach TLIF, micro foraminotomy, and endoscopic decompression. Direct introduction of a co-axis endoscopic tube into the narrow space may compress or damage the nerve root; while foramen fenestration or extra-foraminal biportal endoscopy can be used to sufficiently decompress the nerve root with floating tube.

Objective:Based on Web of Science database, this study aimed to explore the current status, research hotspots and development trends of countries regarding clinical management of osteoporotic fractures using bibliometrics and visualized analysis.Methods:We collected literatures in the field of clinical management of osteoporotic fractures included in Web of Science database, and applied bibliometrics to analyze the publication dates, countries, institutions, journals, authors, highly cited literatures and research hotspots. Visualization was drawn by VOSviewer software.Results:Analysis of the 2 508 articles revealed 3 types of data. (1) The analysis of basic information of the literature showed that: ①The country with the largest number of publications was the United States, which published 672 articles, followed by the United Kingdom and Canada, and China ranked fourth; ②The top three authors in the number of publications were Kanis JA, Cooper C and McCloskey EV respectively; ③The institution with the highest number of publications was the University of Sheffield, UK, followed by the University of Southampton, UK and the University of Toronto, Canada. (2) Network visualization of highly cited literatures showed that 118 highly cited literatures were mainly divided into 5 clusters, which were related to osteoporotic fracture diagnosis, treatment, medication adherence, management consensus and strategies of preventing refracture. (3) Temporal overlay visualization of research hotspots showed that early research mainly focused on traditional therapeutic drugs, and current research hotspots were mainly molecular targeted drugs, trabecular bone score and fracture liaison services.Conclusion:This study shows that the research activity of clinical management of osteoporotic fractures is increasing worldwide, and there is still a huge gap between China and Europe or the United States. Current research hotspots and development trends mainly focus on molecular targeted drugs, osteoporotic fracture treatment concepts, emerging fracture risk assessment tools, and fracture prevention and management models.