Objective Differentially expressed genes in oral squamous cell carcinoma (OSCC) were subjected to bioinformatic and Mendelian randomization analyses to elucidate their prognostic significance in OSCC. Methods The TCGA database and dataset GSE138206 were used to screen the common differential genes of OSCC, and their relationship was analyzed by using Mendelian randomization. The prognostic value of differential genes was further analyzed by Cox risk regression. The biological function of genes with high prognostic value was further evaluated by single gene differential analysis. Results A total of 147 common differential genes were screened from the two databases. Results of two-sample Mendelian randomization showed that GREM2 was associated with the increased risk of OSCC. In addition, SH3BGRL2 was associated with a decreased risk of OSCC, and DKK1, CCL11, and HOXC6 were considered as independent prognostic markers of OSCC. The predicted results of DKK1 were consistent with the actual results. KEGG enrichment analysis indicated the potential involvement of DKK1 in arachidonic acid and linoleic acid metabolism. Furthermore, DKK1 showed positive correlations with Tgd and Th2 cells, while displaying negative associations with PDC, Cytotoxic cells, Mast cells, CD8 T cells, TFH cells, B cells, T cells, and Th17 cells. Conclusion GREM2 is associated with an increased risk of OSCC. DKK1 is highly expressed in OSCC and associated with poor prognosis, which may be involved in regulating the metabolism of arachidonic acid and linoleic acid and immune cell invasion in OSCC.

Objective:To compare the efficacy of conventional open ankle fusion and three dimensional(3D) printed guide plate assisted arthroscopic ankle fusion.Methods:A retrospective cohort study was performed on 256 patients with advanced traumatic ankle arthritis, who were admitted to the Department of Orthopaedics, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 2018 to February 2023 and underwent ankle fusion procedures. The study cohort comprised 119 males and 137 females, with an age of (59.6±9.5) years (range: 37 to 83 years). Among them, 175 cases underwent internal fixation with plates and screws (58 cases through the combined medial and lateral approach, and 117 cases through the simple lateral approach), 48 cases underwent internal fixation with screws through the anterior approach (conventional open group), and 33 cases underwent minimally invasive arthroscopic ankle fusion assisted by 3D printed guide plate (3D printed guide plate arthroscopy group). Propensity score matching was employed to achieve a 1∶1 match(caliper value=0.02) between the baseline characteristics of patients in the 3D printed guide plate arthroscopy group and the conventional open group. Perioperative and follow-up data between the two groups were compared using the t-test, Mann-Whitney U test, Wilcoxon signed rank test, χ2 test or corrected χ2 test as appropriate. Results:Matching was successfully achieved with 20 cases in both the 3D printed guide plate arthroscopy group and the conventional open group, and there were no statistically significant differences in baseline characteristics between the two groups (all P>0.05). The operation time in the 3D printed guide plate arthroscopy group was significantly longer than that in the conventional open group ((88.9±5.6) minutes vs. (77.9±11.7) minutes; t=-2.392, P=0.022), while the frequency of intraoperative fluoroscopies ((1.7±0.8) times vs. (5.2±1.2) times; t=10.604, P<0.01) and length of hospitalization ((5.5±0.9) days vs. (6.4±1.5) days; t=2.480, P=0.018) were significantly lower in the 3D printed guide plate arthroscopy group compared to the conventional open group. The fusion rate was 95.0% (19/20) in the 3D printed guide plate arthroscopy group and 85.0% (17/20) in the conventional open group, with no statistically significant difference between the two groups ( χ2=0.278, P=0.598). The fusion time was (12.1±2.0) weeks in the conventional open group and (11.1±1.7) weeks in the 3D printed guide plate arthroscopy group, with no statistically significant difference between the two groups ( t=1.607, P=0.116). At the final follow-up, the American Orthopedic Foot and Ankle Society ankle hindfoot scale was (72.6±5.5)points in the 3D printed guide plate arthroscopy group and (70.5±5.8)points in the conventional open group, with no statistically significant difference between the two groups ( t=-1.003, P=0.322). The pain visual analogue score of the 3D printed guide plate arthroscopy group was ( M(IQR)) 1.50 (1.00) points, lower than that of the conventional open group by 3.00 (1.00) points, with statistically significant differences ( Z=-3.937, P<0.01). There was no significant difference in complication rate between the conventional open group and the 3D printed guide plate arthroscopy group (25.0%(5/20) vs. 5.0%(1/20), χ2=1.765， P=0.184). Conclusion:3D printed guide plate assisted arthroscopic ankle fusion exhibited several advantages, including reduced frequency of fluoroscopies, alleviation of postoperative pain, and decreased complications and length of hospitalization.

Objective:To compare the efficacy of conventional open ankle fusion and three dimensional(3D) printed guide plate assisted arthroscopic ankle fusion.Methods:A retrospective cohort study was performed on 256 patients with advanced traumatic ankle arthritis, who were admitted to the Department of Orthopaedics, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 2018 to February 2023 and underwent ankle fusion procedures. The study cohort comprised 119 males and 137 females, with an age of (59.6±9.5) years (range: 37 to 83 years). Among them, 175 cases underwent internal fixation with plates and screws (58 cases through the combined medial and lateral approach, and 117 cases through the simple lateral approach), 48 cases underwent internal fixation with screws through the anterior approach (conventional open group), and 33 cases underwent minimally invasive arthroscopic ankle fusion assisted by 3D printed guide plate (3D printed guide plate arthroscopy group). Propensity score matching was employed to achieve a 1∶1 match(caliper value=0.02) between the baseline characteristics of patients in the 3D printed guide plate arthroscopy group and the conventional open group. Perioperative and follow-up data between the two groups were compared using the t-test, Mann-Whitney U test, Wilcoxon signed rank test, χ2 test or corrected χ2 test as appropriate. Results:Matching was successfully achieved with 20 cases in both the 3D printed guide plate arthroscopy group and the conventional open group, and there were no statistically significant differences in baseline characteristics between the two groups (all P>0.05). The operation time in the 3D printed guide plate arthroscopy group was significantly longer than that in the conventional open group ((88.9±5.6) minutes vs. (77.9±11.7) minutes; t=-2.392, P=0.022), while the frequency of intraoperative fluoroscopies ((1.7±0.8) times vs. (5.2±1.2) times; t=10.604, P<0.01) and length of hospitalization ((5.5±0.9) days vs. (6.4±1.5) days; t=2.480, P=0.018) were significantly lower in the 3D printed guide plate arthroscopy group compared to the conventional open group. The fusion rate was 95.0% (19/20) in the 3D printed guide plate arthroscopy group and 85.0% (17/20) in the conventional open group, with no statistically significant difference between the two groups ( χ2=0.278, P=0.598). The fusion time was (12.1±2.0) weeks in the conventional open group and (11.1±1.7) weeks in the 3D printed guide plate arthroscopy group, with no statistically significant difference between the two groups ( t=1.607, P=0.116). At the final follow-up, the American Orthopedic Foot and Ankle Society ankle hindfoot scale was (72.6±5.5)points in the 3D printed guide plate arthroscopy group and (70.5±5.8)points in the conventional open group, with no statistically significant difference between the two groups ( t=-1.003, P=0.322). The pain visual analogue score of the 3D printed guide plate arthroscopy group was ( M(IQR)) 1.50 (1.00) points, lower than that of the conventional open group by 3.00 (1.00) points, with statistically significant differences ( Z=-3.937, P<0.01). There was no significant difference in complication rate between the conventional open group and the 3D printed guide plate arthroscopy group (25.0%(5/20) vs. 5.0%(1/20), χ2=1.765， P=0.184). Conclusion:3D printed guide plate assisted arthroscopic ankle fusion exhibited several advantages, including reduced frequency of fluoroscopies, alleviation of postoperative pain, and decreased complications and length of hospitalization.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

Objective Bibliometric approaches are used to investigate the characteristics and benefits of traditional Chinese medicine treatments for dominant diseases that can be applied in clinical therapy to effectively manage geriatric diseases.Methods Clinical research literature on the use of traditional Chinese medicine in the treatment of geriatric diseases within the past 10 years was retrieved from CNKI,Wanfang,VIP,and CBM databases.The research trends and clinical efficiency of each disease were statistically analyzed to determine the dominant diseases of TCM.Results A total of 22 859 articles were collected,with 3768 included in the research.In accordance with the International Statistical Classification of Diseases and Related Health Problems(ICD-11)of the World Health Organization,the diseases were classified into 17 categories and 149 diseases.The diseases primarily affect the circulatory system,skeletal musculoskeletal or connective tissue system,and digestive system.Conclusions Traditional Chinese medicine clinical trials on the treatment of geriatric illnesses cover a diverse spectrum of diseases,although the distribution of focus is unequal.Potential dominant illnesses were eventually identified to include osteoporosis,constipation,and hypertension,with heart failure,stroke,coronary heart disease,diabetes and its complications,and insomnia being potential sub-dominant diseases.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

Objective To explore the clinical characteristics of patients with heart failure(HF)treated with lyophilized Yiqifumai injection based on real-world data,providing evidence for the rational and standardized use of Yiqifumai injection.Methods Hospitalized HF patients from 81 hospitals across China were included in this study between April and November 2023.We collected demographics information[sex,age,New York Heart Association(NYHA)functional classification],length of hospital stay,duration of medication use,and biomarkers such as N-terminal pro-brain natriuretic peptide(NT-proBNP),left ventricular ejection fraction(LVEF),and left ventricular end-diastolic diameter(LVEDD).Clinical features of HF patients treated with Yiqifumai injection were analyzed,and comparisons were made among different HF subtypes.Results A total of 457 HF patients were included:96 with heart failure with reduced ejection fraction(HFrEF),70 with HF with mildly reduced ejection fraction(HFmrEF),and 291 with HF with preserved ejection fraction(HFpEF).The majority of HFpEF type and HFrEF type patients were classified as NYHA class Ⅲ[48.1％(140/291)and 54.2％(52/96),respectively],while most HFmrEF type patients were classified as class Ⅳ[41.4％(29/70)].The longest average hospital stay was recorded in HFmrEF type patients[(9.30±3.02)days],while the shortest was recorded in HFrEF type patients[(8.77±3.11)days].The shortest average medication duration was found in the HFrEF type[(8.54±2.95)days],while the longest was observed in HFpEF type patients[(8.82±2.82)days].Serum NT-proBNP levels were significantly decreased post-treatment in all three types[ng/L:HFrEF was 2 435.00(1 169.25,5 607.75)vs.5 334.00(2 077.33,9 108.88),HFmrEF type was 2 313.25(598.09,6 224.67)vs.4 559.21(1 325.75,8 922.75),HFpEF type was 824.00(169.46,2298.75)vs.1 265.00(215.00,3 458.80),all P<0.05],with the most pronounced decrease observed in the HFrEF type.LVEF was significantly improved in the HFrEF type[0.340(0.290,0.378)vs.0.336(0.280,0.360),P<0.05],while no significant changes were noted in the HFmrEF type and HFpEF type.No significant differences in LVEDD were found before and after treatment in any type(all P>0.05).Conclusion In the real-world setting,the advantages of Yiqifumai injection in treating HFrEF are more pronounced,while further evidence from evidence-based medicine is needed to support its use in other types of heart failure.

Hand osteoarthritis(HOA)is a disease of hand joint disorders,mainly manifested by hand interphalangeal joint and thumb carpal metacarpal joint pain,swelling,morning stiffness,limited movement,and even deformity,belonging to the category of TCM"bone arthralgia".The authors believe that HOA is more common with Taiyang Shaoyang disease,suitable for simultaneous treatment for Taiyang and Shaoyang,to operate the cardinal,regulate qi,blood,nutritive and defensive levels,dispel wind and cold,remove dampness and arthralgia,using modified Chaihu Guizhi Decoction,with confirmed efficacy.

Lumbar disc herniation is mainly manifested as lower back pain,numbness,weakness,and radiating pain in the lower limbs,which seriously affects the patients'work and quality of life.In clinical practice,it has been found that this disease always belongs to the category of deficiency in healthy qi and excess in pathogenic factors,often accompanied by kidney deficiency and cold dampness.Kidney deficiency is the root cause,while cold dampness is the symptoms.The two factors interact with each other and cause back pain.The treatment is based on dispersing cold and dampness,tonifying the kidneys and strengthening the waist,and the classic ancient formula Shenzhuo Powder is safe and effective.

Objective:To investigate the predictive value of clinical factor model, deep learning model based on baseline plain CT images, and combination of both for predicting hematoma expansion in cerebral hemorrhage.Methods:The study was cross-sectional. Totally 471 cerebral hemorrhage patients who were firstly diagnosed in the Second Affiliated Hospital of Soochow University from January 2017 to December 2021 were collected retrospectively. These patients were randomly divided into a training dataset ( n=330) and a validation dataset ( n=141) at a ratio of 7∶3 by using the random function. All patients underwent two noncontrast CT examinations within 24 h and an increase in hematoma volume of >33% or an absolute increase in hematoma volume of >6 ml was considered hematoma enlargement. According to the presence or absence of hematoma enlargement, all patients were divided into hematoma enlargement group and hematoma non-enlargement group.Two-sample t test, Mann-Whitney U test or χ2 test were used for univariate analysis. The factors with statistically significant differences were included in multivariate logistic regression analysis, and independent influences related to hematoma enlargement were screened out to establish a clinical factor model. ITK-SNAP software was applied to manually label and segment the cerebral hemorrhage lesions on plain CT images to train and build a deep learning model based on ResNet50 architecture. A combination model for predicting hematoma expansion in cerebral hemorrhage was established by combining independent clinical influences with deep learning scores. The value of the clinical factor model, the deep learning model, and the combination model for predicting hematoma expansion in cerebral hemorrhage was evaluated using receiver operating characteristic (ROC) curves and decision curves in the training and validation datasets. Results:Among 471 cerebral hemorrhage patients, 136 cases were in the hematoma enlargement group and 335 cases were in the hematoma non-enlargement group. Regression analyses showed that male ( OR=1.790, 95% CI 1.136-2.819, P=0.012), time of occurrence ( OR=0.812, 95% CI 0.702-0.939, P=0.005), history of oral anticoagulants ( OR=2.157, 95% CI 1.100-4.229, P=0.025), admission Glasgow Coma Scale score ( OR=0.866, 95% CI 0.807-0.929, P<0.001) and red blood cell distribution width ( OR=1.045, 95% CI 1.010-1.081, P=0.011) were the independent factors for predicting hematoma expansion in cerebral hemorrhage. ROC curve analysis showed that in the training dataset, the area under the curve (AUC) of clinical factor model, deep learning model and combination model were 0.688 (95% CI 0.635-0.738), 0.695 (95% CI 0.642-0.744) and 0.747 (95% CI 0.697-0.793) respectively. The AUC of the combination model was better than that of the clinical model ( Z=0.54, P=0.011) and the deep learning model ( Z=2.44, P=0.015). In the validation dataset, the AUC of clinical factor model, deep learning model and combination model were 0.687 (95% CI 0.604-0.763), 0.683 (95% CI 0.599-0.759) and 0.736 (95% CI 0.655-0.806) respectively, with no statistical significance. Decision curves showed that the combination model had the highest net benefit rate and strong clinical practicability. Conclusions:Both the deep learning model and the clinical factor model established in this study have some predictive value for hematoma expansion in cerebral hemorrhage; the combination model established by the two together has the highest predictive value and can be applied to predict hematoma expansion.