Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer， and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models. METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI， VIP， Wanfang， PubMed， Web of Science， Cochrane Library， Embase， and Scopus databases， with a time frame of the establishment of the database to May 7， 2024. Literature was independently screened by 2 investigators， data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies， and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies. RESULTS There were totally 7 studies， comprising 12 models. Among them， 11 models indicated an area under the subject operating characteristic curve of 0.600-0.908； 2 models indicated calibration. The common predictor variables of the included models were age， pre-chemotherapy neutrophil count， pre-chemotherapy lymphocyte count， and pre-chemotherapy albumin. The overall risk of bias of the 7 studies was high， which was mainly attributed to the flaws in the study design， insufficient sample sizes， inappropriate treatment of variables， non-reporting of missing data， and the lack of indicators for the assessment of the models， but the applicability was good. CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced， and the overall risk of model bias is high. Future studies should follow the specifications of model development and reporting， then combine machine learning algorithms to develop risk predictive models with good predictive performance， high stability， and low risk of bias， so as to provide a decision-making basis for the clinic.

Objective To explore the predictive value of combined serum soluble hemoglobin scavenger receptor 163(sCD163),hypersensitive C-reactive protein(hs-CRP),and procalcitonin(PCT)for stroke-associated pneumonia(SAP).Methods A total of 100 patients with acute ische-mic stroke admitted to the First Hospital of Zhangjiakou from October 2021 to January 2023 were se-lected as the study subjects.According to whether they developed SPA within 7 days of admission,they were divided into SAP group(n=64)and non-SAP group(n=36).Based on pneumonia se-verity index(PSI),patients in the SAP group were further divided into mild SAP group and severe SAP group.Enzyme-linked immunosorbent assay(ELISA)was used to detect the serum levels of sCD163,hs-CRP,and PCT.The clinical data of the patients were collected and compared.Pearson's method was used to analyze the correlation between the PSI score and the serum levels of sCD163,hs-CRP,and PCT in SAP patients.Multivariate Logistic regression analysis was employed to screen for factors influencing the occurrence of SAP.Receiver operating characteristic(ROC)curve analy-sis was used to evaluate the predictive efficacy of serum sCD163,hs-CRP,and PCT for the occur-rence of SAP.Results The proportion of patients with dysphagia and the National Institutes of Health Stroke Scale(NIHSS)score in the SAP group were significantly higher than those in the non-SAP group(P＜0.05).The serum levels of sCD163,hs-CRP,and PCT in the SAP group were significantly higher than those in the non-SAP group(P＜0.05).The serum levels of sCD163,hs-CRP,and PCT in the severe SAP group were significantly higher than those in the mild SAP group(P＜0.05).Pearson's correlation analysis showed that the PSI score was positively correlated with the serum levels of sCD163,hs-CRP and PCT in SAP patients(r=0.356,0.413,0.391,P＜0.001).Logistic regression analysis revealed that serum sCD163,hs-CRP,PCT,NIHSS score,and dysphagia were all influencing factors for the occurrence of SAP(P＜0.05).The areas under the curve(AUC)for predicting SAP using serum sCD163,hs-CRP,PCT and their combina-tion were 0.842,0.924,0.866 and 0.973,respectively,with sensitivities of 73.44％,84.37％,67.19％and 90.62％,and specificities of 88.89％,83.33％,97.22％and 94.44％,respectively.The predictive value of the combined detection was superior to that of the individual detection of ser-um sCD163,hs-CRP and PCT(P＜0.05).Conclusion The serum levels of sCD163,hs-CRP,and PCT are elevated in SAP patients,and their changes are closely related to the severity of the disease.The combined detection of these three indicators has a high value in predicting the occur-rence of SAP and may serve as auxiliary markers for predicting early SAP.

The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor(SNRI)in inpatients with moderate and severe depression by using a machine learning method.METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024;those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate.After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression,five prediction models including support vector machine,k-nearest neighbor,random forest,lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set.Bayesian optimization was used to adjust the hyperparameters of these models.The performance of the models was evaluated in the validation set to select the optimal model.The Shapley additive explanations method was used to perform explainable analysis on the best model.RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected,comprising 285 cases in the effective group and 70 cases in the ineffective group,resulting in an overall therapeutic response rate of 80.28%.After feature variable screening,five characteristic variables for therapeutic efficacy were obtained,including Hamilton anxiety scale,blood urea nitrogen,combination of anti-anxiety drugs,drinking history,and first onset of the disease.Compared with other models,the random forest model performed the best.The area under the receiver operating characteristic curve was 0.85,the area under the precision-recall curve was 0.87,the accuracy was 0.74,and the recall rate value was 0.75.CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

ObjectiveTo describe the epidemic characteristics of COVID-19 after policy adjustment from “Category B notifiable disease with category A management” to “Category B notifiable disease with category B management”， and to explore the protective effect of previous infection with SARS-CoV-2 on common symptoms of reinfection. MethodsHealthcare workers infected with SARS-CoV-2 in a grade A tertiary hospital in Shanghai were included in the study from December 4， 2022 to January 11， 2023. Data on demographic characteristics， clinical symptoms， medical history， and COVID-19 vaccination history were collected. We determined the epidemiological curve and characteristics， and then compared the difference in the severity of clinical symptoms between primary and reinfection subjects. ResultsA total of 2 704 cases were included in the study， of which 45 had reinfection， 605 （22.4%）were males， 608 （22.5%）were doctors， 1 275 （47.2%） were nurses， and 2 351 （86.9%） received ≥3 doses of COVID-19 vaccination. The average age of these healthcare workers was （34.9±9.1） years old. The number of cases with mild/moderate illness， asymptomatic infection， fever， headache， dry cough， expectoration， and chest tightness were 2 704 （100.0%）， 92 （3.4%）， 2 385 （88.2%）， 2 066 （76.4%）， 1 642 （60.7%）， 1 807 （66.8%）， and 439 （16.2%）， respectively. Reinfection was a protective factor for fever （OR=0.161， P<0.001）， headache （OR=0.320， P<0.001）， and peak body temperature （β=-0.446， P<0.001）. ConclusionFollowing the COVID-19 policy adjustment as a category B notifiable disease， healthcare workers at a grade A tertiary hospital in Shanghai predominantly experiences mild to moderate COVID-19 symptoms. Reinfection results in milder clinical manifestations， with a lower proportion of being asymptomatic.

Objective To detect the serum levels of CC chemokine receptor 2(CCR2)and C-reactive pro-tein(CRP)in stroke patients,and analyze their relationship with the severity of stroke associated pneumonia and their clinical significance.Methods A total of 78 patients with stroke associated pneumonia who were di-agnosed and treated in the hospital from October 2022 to February 2023 were collected as the study group,ac-cording to the severity of pneumonia,the study group was divided into mild group(31 cases),moderate group(29 cases),and severe group(18 cases),78 stroke patients who did not develop pneumonia were included into control group.Pearson method was applied to analyze the correlation between serum CCR2 and CRP levels in stroke associated pneumonia patients.Multivariate Logistic regression was applied to analyze the factors influ-encing the occurrence of stroke associated pneumonia.Receiver operating characteristic(ROC)curve was ap-plied to analyze the diagnostic value of serum CCR2 and CRP for stroke associated pneumonia.Results The National Institute of Health stroke scale(NIHSS)score,serum CCR2,and CRP levels in the study group were obviously higher than those in the control group(P<0.05).The levels of serum CCR2 and CRP increased with the aggravation of pneumonia(P<0.05).The levels of serum CCR2 and CRP in the study group were positively correlated(r=0.799,P<0.05).NIHSS score,CCR2,and CRP levels were risk factors for stroke associated pneumonia in stroke patients(P<0.05).The area under the curve(AUC)for the diagnosis of stroke associated pneumonia using serum CCR2 and CRP alone was 0.873 and 0.888,respectively,and the AUC for the combined detection of the two was 0.936,the combined detection of the two was superior to the individual detection of serum CCR2 and CRP(Zcombination-CCR2=1.987,Zcombination-CRP=1.832,P=0.041,0.047).Conclusion Serum CCR2 and CRP are closely related to the severity of stroke associated pneumonia,and their combined detection has high diagnostic value for stroke associated pneumonia.

Objective:To compare the diagnostic efficacy of 68Ga-PSMA-11 PET/ CT and multi-parameter magnetic resonance imaging (mpMRI) for pelvic lymph node metastases in prostate cancer patients who received neoadjuvant endocrinology or not after initial diagnosis. Methods:Data of 52 patients with moderate and high-risk prostate cancer admitted to Xijing Hospital from February to October 2023, aged (65.8±6.6) years, preoperative prostate-specific antigen (PSA) 26.67 (13.09, 84.89) ng/ml, were retrospectively analyzed. Before operation, there were 28 cases of cT 2stage, 16 cases of cT 3 stage and 8 cases of cT 4 stage. There were 22 cases of cN 0 and 30 cases of cN 1. All patients underwent 68Ga-PSMA-11 PET/CT and mpMRI at the same time, and were diagnosed positive lymph nodes in 28 and 21 cases, respectively. Risk stratification were high risk in 45 cases, and medium risk in 7 cases. According to the preoperative endocrine treatment, they were divided into the newly diagnosed group without treatment (24 cases) and the endocrine treated group (28 cases), whose ages were (65.0±7.1) years and (66.8±6.1) years, respectively. Preoperative PSA was 26.17 (16.73, 61.18) ng/ml and 27.32 (11.94, 130.18) ng/ml, respectively. Gleason scores ≤7 were in 10 cases (41.7%) and 6 cases (21.4%), and Gleason scores >7 were in 14 cases (58.3%) and 22 cases (78.6%), respectively. There were 15 (62.5%) and 13 (46.4%) cases of cT 1-2 stage, and 9 (37.5%) and 15 (53.6%) cases of cT 3-4 stage, respectively. There were 16 (66.7%) and 6 (21.4%) cases of stage N 0, 8 (33.3%) and 22 (78.6%) cases of stage N 1, respectively. There were 22 (91.7%) and 20 (71.4%) cases of stage M 0, 2 (8.3%) and 8 (28.6%) cases of stage M 1, respectively. PET/CT diagnosis of lymph node positive was in 9 cases (37.5%) and 19 cases (67.9%), and mpMRI diagnosis of lymph node positive was in 5 cases (20.8%) and 16 cases (57.1%). The number of positive lymph nodes diagnosed by PET/CT was 13 (72.2%) and 47 (90.1%), and the number of positive lymph nodes diagnosed by mpMRI was 8 (44.4%) and 32 (61.5%). There was no significant difference ( P>0.05). All patients underwent radical prostatectomy as well as enlarged pelvic lymph node resection. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the two imaging examinations in the diagnosis of lymph node metastasis were compared according to the results of postoperative pathological examination of lymph nodes. Receiver operating characteristic (ROC) curve was used to compare the accuracy of the two imaging tests in the diagnosis of pelvic lymph node metastasis in the newly diagnosed untreated group and the endocrine treated group. Results:In this study, of 52 cases, 26 (50.0%) had positive lymph nodes by pathological examination. In this study, a total of 681 lymph nodes were dissected, with 70 lymph nodes (10.28%) being pathologically positive, and the positive rate of 26 patients was 17.99% (70/389). The PET/CT and mpMRI detection rates of 26 node-positive patients were 92.3% (24/26) and 57.7% (15/26), respectively. There were 9 (37.5%) and 17 (60.7%) lymph node positive patients in the untreated group and the endocrine therapy group, respectively. There were 320 and 361 lymph nodes were clear, with 18 (5.6%) and 52 (14.4%) positive lymph nodes, respectively. The detection rates of PET/CT and mpMRI were 88.89% (8/9) and 94.12% (16/17)in the untreated group, and 44.44% (4/9) and 64.71% (11/17)in the endocrine treated group, respectively. In the newly treated group, the area under the curve (AUC) of PET/CT and mpMRI for diagnosing positive lymph nodes were 0.911 and 0.689 ( P=0.027), the sensitivity were 88.9% and 44.4%, and the specificity were 93.3% and 93.3%, respectively. PPV were 88.9% and 80.0%, and NPV were 93.3% and 73.7%, respectively. In the endocrine therapy group, the AUC of PET/CT and mpMRI for lymph node positive diagnosis were 0.834 and 0.596 ( P=0.011), the sensitivity were 94.1% and 64.7%, the specificity were 72.7% and 54.5%, and the PPV were 84.2% and 68.8%, respectively. NPV were 88.9% and 50.0%, respectively. Conclusions:For prostate cancer patients, regardless of whether they receive neoadjuvant endocrine therapy, 68Ga-PSMA-11 PET/CT can accurately detect pelvic lymph node metastasis, and the diagnostic efficacy is significantly better than that of mpMRI.

Objective To investigate the diagnostic value of serum soluble fms-like tyrosine kinase 1(sFlt-1)and soluble differentiation cluster 14(sCD14)in stroke-associated pneumonia(SAP).Methods A total of 67 SAP patients admitted to the hospital from March 2022 to January 2023 were selected as the study group,and 50 stroke patients without pneumonia during the same period were selected as the control group.Enzyme-linked immunosorbent assay was used to measure serum sFlt-1 and sCD14 levels.Pearson correlation analysis was used to analyze the correlation between serum sFlt-1,sCD14 levels and clinical data.Multivariate Logistic regression was used to analyze the influencing factors of SAP in patients with stroke.Receiver operating char-acteristic(ROC)curve was used to analyze the diagnostic value of serum sFlt-1 and sCD14 levels in predicting SAP in patients with stroke.Results The serum levels of sFlt-1 and sCD14 in SAP patients were higher than those in stroke patients without pneumonia and stroke patients with pneumonia alone(P＜0.05).SAP in stroke patients was associated with age,atrial fibrillation,heart failure,aspiration,dysphagia,brain stem stroke,proton pump inhibitor use,fever,cough,dyspnea,low-density lipoprotein cholesterol,procalcitonin(PCT),C-reactive protein,white blood cell count,national institutes of health stroke scale(NIHSS)score,clinical pulmonary infection(CPIS)score(P＜0.05).Correlation analysis showed that serum sFlt-1 level was positively correlated with sCD14(r=0.439,P＜0.001),and serum sFlt-1 and sCD14 levels were positively correlated with NIHSS score and CPIS score(P＜0.05).Multivariate Logistic regression analysis showed that sFlt-1,sCD14,proton pump inhibitor use,PCT,dysphagia,and age were the influencing factors of SAP in stroke patients(P＜0.05).ROC curve results showed that the area under the curve of serum sFlt-1 and sCD14 combined to evaluate SAP in stroke patients was higher than that of single detection(ZsFlt-1-combined=2.194,P=0.028,ZscD14-combined=2.310,P=0.002).Conclusion The serum levels of sFlt-1 and sCD14 are in-creased in SAP patients,and the combination of the two has a good diagnostic value for predicting the occur-rence of SAP.