Objective To explore the influencing factors of early neurological deterioration(END)in patients with acute anterior circulation large-vessel occlusive mild stroke who were treated with medications alone within 72 h after onset.Methods Retrospective consecutive data were collected of patients with acute large-vessel occlusive mild stroke who presented to the Advanced Stroke Center of Linyi People's Hospital within 24 h of onset from January 2021 to December 2022.END was defined as an increase of ≥ 4 points in the National Institutes of Health stroke scale(N1HSS)score within 72 h after onset compared to the admission score.Patients were divided into the neurological deterioration group and the stable condition group(NIHSS score did not increase or increased by 1-3 points within 72 h after onset compared to the admission score).Baseline and clinical data of all patients were collected,including sex,age,cerebrovascular disease risk factors(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation,smoking,alcohol consumption,stroke history),NIHSS score at admission,time from onset to admission,systolic blood pressure at admission,diastolic blood pressure at admission,laboratory test indicators at admission(blood glucose,glycosylated hemoglobin,homocysteine,total cholesterol,triglyceride,low-density lipoprotein cholesterol,high-density lipoprotein cholesterol,neutrophils,lymphocytes and neutrophil-to-lymphocyte ratio),responsible occlusion artery(internal carotid artery,middle cerebral artery,anterior cerebral artery),affected cerebral hemisphere,collateral circulation score,and medications used within 72 h after admission(intravenous thrombolysis+dual antiplatelet therapy,tirofiban+dual antiplatelet therapy,argatroban+dual antiplatelet therapy,argatroban alone,dual antiplatelet therapy alone).Variables with statistically significant differences in univariate analysis were included in multivariate Logistic regression analysis to explore the independent influencing factors for END in patients with acute anterior circulation large-vessel occlusive mild stroke treated with medications alone.Results A total of 208 patients with acute anterior circulation large-vessel occlusive mild stroke were included,with 143 males and 65 females,aged 38-85 years,with an average age of(64±9)years.Among them,86 patients were in the neurological deterioration group and 122 in the stable condition group.(1)There were statistically significant differences between the neurological deterioration group and the stable condition group in terms of history of diabetes mellitus(39.5％[34/86]vs.17.2％[21/122]),smoking history(43.0％[37/86]vs.29.5％[36/122]),left cerebral hemisphere lesion(57.0％[49/86]vs.41.0％[50/122]),collateral circulation score(4[3,5]vs.5[4,5]),time from onset to admission(7.0[3.0,17.0]hvs.4.3[2.0,11.0]h),blood glucose at admission(7.4[5.8,10.0]mmol/L vs.6.7[5.8,7.7]mmol/L),neutrophil-to-lymphocyte ratio(3.8[2.4,5.1]vs.3.0[2.1,4.3]),dual antiplatelet therapy alone(19.8％[17/86]vs.6.6％[8/122]),and argatroban+dual antiplatelet therapy(8.1％[7/86]vs.29.5％[36/122];all P＜0.05).There were no statistically significant differences in the results of the remaining univariate analyses(all P＞0.05).(2)Multivariate Logistic regression analysis showed that diabetes mellitus(OR,2.674,95％CI 1.121-6.377,P=0.027)and left cerebral hemisphere vessel occlusion(OR,2.030,95％CI I.083-3.806,P=0.027)were independent risk factors for END in acute anterior circulation large-vessel occlusive mild stroke.Argatroban+dual antiplatelet therapy(OR,0.267,95％CI 0.116-0.613,P=0.002)and high collateral circulation score(OR,0.551,95％CI 0.368-0.824,P=0.004)were independent protective factors for END in acute anterior circulation large-vessel occlusive mild stroke.Conclusions Acute anterior circulation large-vessel occlusive mild stroke patients with diabetes mellitus or left cerebral hemisphere lesions are prone to END.The combination of argatroban and dual antiplatelet therapy and good collateral circulation can reduce the risk of END.

Objective: To investigate the epidemiological characteristics of pulmonary tuberculosis (PTB) among residents aged 60 years and older in Yangzhou City, Jiangsu Province from 2013 to 2022, so as to provide the evidence for the improvement of PTB prevention and control measures in this population. Methods: Data of PTB cases aged 60 years and older in Yangzhou City from 2013 to 2022 were collected from the Chinese Disease Prevention and Control Information System. The temporal, population, and regional distribution characteristics of PTB cases were analyzed using the descriptive epidemiological method. Results: A total of 8 726 PTB cases aged 60 years and older were registered in Yangzhou City from 2013 to 2022, including 4 167 cases positive for pathogenic tests, with a positive rate of 47.75%. The registered incidence rates and the positive rates of pathogenic tests of PTB among residents aged 60 years and older in Yangzhou City showed downward trends from 2013 to 2022 (both P<0.05). The average annual registered incidence rate of PTB was 83.95/105, and the average annual registered incidence rate of PTB positive for pathogenic tests was 40.09/105. The average annual registered incidence rate of PTB in males was higher than that in females (138.57/105 vs. 31.76/105, P<0.05). The registered incidence rate of PTB showed an increasing trend with age (P<0.05), with the highest rate observed in the age group of 75-<80 years (110.37/105). The top three regions with the highest average annual registered incidence rates of PTB were Jiangdu District (94.34/105), Baoying County (91.61/105) and Hanjiang District (84.93/105). Conclusions The registered incidence of PTB among residents aged 60 years and older in Yangzhou City showed a downward trend from 2013 to 2022. Particular attention should be payed to males, residents aged 75- <80 years, and the elderly in Jiangdu District and Baoying County.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.

Objective To explore the influencing factors of early neurological deterioration(END)in patients with acute anterior circulation large-vessel occlusive mild stroke who were treated with medications alone within 72 h after onset.Methods Retrospective consecutive data were collected of patients with acute large-vessel occlusive mild stroke who presented to the Advanced Stroke Center of Linyi People's Hospital within 24 h of onset from January 2021 to December 2022.END was defined as an increase of ≥ 4 points in the National Institutes of Health stroke scale(N1HSS)score within 72 h after onset compared to the admission score.Patients were divided into the neurological deterioration group and the stable condition group(NIHSS score did not increase or increased by 1-3 points within 72 h after onset compared to the admission score).Baseline and clinical data of all patients were collected,including sex,age,cerebrovascular disease risk factors(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation,smoking,alcohol consumption,stroke history),NIHSS score at admission,time from onset to admission,systolic blood pressure at admission,diastolic blood pressure at admission,laboratory test indicators at admission(blood glucose,glycosylated hemoglobin,homocysteine,total cholesterol,triglyceride,low-density lipoprotein cholesterol,high-density lipoprotein cholesterol,neutrophils,lymphocytes and neutrophil-to-lymphocyte ratio),responsible occlusion artery(internal carotid artery,middle cerebral artery,anterior cerebral artery),affected cerebral hemisphere,collateral circulation score,and medications used within 72 h after admission(intravenous thrombolysis+dual antiplatelet therapy,tirofiban+dual antiplatelet therapy,argatroban+dual antiplatelet therapy,argatroban alone,dual antiplatelet therapy alone).Variables with statistically significant differences in univariate analysis were included in multivariate Logistic regression analysis to explore the independent influencing factors for END in patients with acute anterior circulation large-vessel occlusive mild stroke treated with medications alone.Results A total of 208 patients with acute anterior circulation large-vessel occlusive mild stroke were included,with 143 males and 65 females,aged 38-85 years,with an average age of(64±9)years.Among them,86 patients were in the neurological deterioration group and 122 in the stable condition group.(1)There were statistically significant differences between the neurological deterioration group and the stable condition group in terms of history of diabetes mellitus(39.5％[34/86]vs.17.2％[21/122]),smoking history(43.0％[37/86]vs.29.5％[36/122]),left cerebral hemisphere lesion(57.0％[49/86]vs.41.0％[50/122]),collateral circulation score(4[3,5]vs.5[4,5]),time from onset to admission(7.0[3.0,17.0]hvs.4.3[2.0,11.0]h),blood glucose at admission(7.4[5.8,10.0]mmol/L vs.6.7[5.8,7.7]mmol/L),neutrophil-to-lymphocyte ratio(3.8[2.4,5.1]vs.3.0[2.1,4.3]),dual antiplatelet therapy alone(19.8％[17/86]vs.6.6％[8/122]),and argatroban+dual antiplatelet therapy(8.1％[7/86]vs.29.5％[36/122];all P＜0.05).There were no statistically significant differences in the results of the remaining univariate analyses(all P＞0.05).(2)Multivariate Logistic regression analysis showed that diabetes mellitus(OR,2.674,95％CI 1.121-6.377,P=0.027)and left cerebral hemisphere vessel occlusion(OR,2.030,95％CI I.083-3.806,P=0.027)were independent risk factors for END in acute anterior circulation large-vessel occlusive mild stroke.Argatroban+dual antiplatelet therapy(OR,0.267,95％CI 0.116-0.613,P=0.002)and high collateral circulation score(OR,0.551,95％CI 0.368-0.824,P=0.004)were independent protective factors for END in acute anterior circulation large-vessel occlusive mild stroke.Conclusions Acute anterior circulation large-vessel occlusive mild stroke patients with diabetes mellitus or left cerebral hemisphere lesions are prone to END.The combination of argatroban and dual antiplatelet therapy and good collateral circulation can reduce the risk of END.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.

Atherosclerosis(AS)is the common pathological basis of ischemic cardiovascular diseases,and its formation mechanism is complex.Western medical treatment has problems such as a long cycle and a high relapse rate.Ethnic medicine is an important part of traditional medicine,which has unique efficacy in treating cardiovascular diseases.Studies have shown that the Mongolian medicine Eldon-Uriel regulates blood lipids and improves blood rheology in the treatment of AS.This paper aims to pro-vide new ideas for the prevention and treatment of AS by collecting,organizing,and summarizing the relevant literature on Eldon-Uriel and introducing its unique concept,mechanism of action,and clinical studies in the treatment of AS.

Information on patients with rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Yangzhou City from 2012 to 2020 was obtained from the Information System of the Chinese Center for Disease Control and Prevention. The epidemic characteristics of RR-PTB patients were analyzed by using χ2 test. The average annual registered incidence rate of RR-PTB patients in Yangzhou City from 2012 to 2020 was 0.57/100 000, and the difference between the registered incidence rates in each year was statistically significant ( χ2=29.326, P<0.001). The proportion of re-treated patients (64.8%) was higher than that of newly treated patients (35.2%, χ2=50.593, P<0.001). The registered incidence rate in males (0.91/100 000) was higher than that in females (0.24/100 000, χ2=80.566, P<0.001). The age distribution showed that the highest incidence rate was in the age group≥60 years (0.96/100 000) and the lowest was in the age group 0-<45 years (0.31/100 000, χ2=55.853, P<0.001). From 2012 to 2020, Baoying County had the largest number of registered RR-PTB patients (44 cases), and its registered incidence rate (0.64/100 000) was only lower than that of Guangling District (0.98/100 000). The registered incidence rate of RR-PTB patients in Baoying County during 2016—2020 also increased significantly compared to 2012—2015 ( P=0.001). Logistic regression was used to analyze the factors related to the treatment outcome of RR-PTB patients. The results showed that patients aged≥60 years and those classified as the re-treatment were risk factors for successful treatment of RR-PTB patients ( P<0.05). In summary, males, people aged≥60 years, patients classified as the re-treatment, and residents of Baoying County should be the key populations for RR-PTB epidemic prevention and control in Yangzhou City.

Spontaneous spinal epidural hematoma(SSEH)is a rare clinical disease characterized by acute onset of neck,shoulder,or lumbar back pain accompanied by compression of the spinal nerve roots or spinal cord.This article reports a 71 year old female patient with SSEH who was admitted to the hospital with"neck and shoulder pain accompanied by right limb weakness for 3 hours",and was diagnosed with SSEH by cervical magnetic resonance imaging(MRI).After drug treatment,the patient achieved good clinical outcomes.The early symptoms of SSEH lack specificity and are prone to misdiagnosis or missed diagnosis.This case report discribe its diagnosis and treatment strategies in combination of relevant literature in order to improve clinical workers'understanding and diagnosis and treatment capabilities of this disease.

Objective:To explore the value of baseline PET/CT parameters for predicting prognosis in patients with double-expression lymphoma (DEL).Methods:The clinical and 18F-FDG PET/CT data of 118 patients (66 males, 52 females; age: 28-85 years) with diffuse large B-cell lymphoma (DLBCL) diagnosed in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University and the First Affiliated Hospital of Nanjing Medical University from June 2015 to September 2022 were retrospectively analyzed. The optimal thresholds for SUV max, total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) in predicting overall survival (OS) rate were determined using ROC curve analysis. Univariate and multivariate analyses, along with Kaplan-Meier survival analysis were performed to construct a survival prediction model. The effect of the model was evaluated by the calibration curve for the model, the time-dependent ROC curve analysis and decision curve analysis. Results:As of the last follow-up, 25 patients died, and the OS rate was 78.8%(93/118). The AUC of the ROC curve for TMTV was 0.705, with a corresponding optimal threshold of 230.9 cm 3. In multivariate analysis, Eastern Cooperative Oncology Group performance status (ECOG PS) score (hazard ratio ( HR)=3.886, 95% CI: 1.455-10.375; P=0.007) and TMTV ( HR=4.649, 95% CI: 1.665-12.979; P=0.003) were identified as independent predictors of OS. The combined model of ECOG PS score and TMTV was superior to ECOG PS score model and TMTV model alone in predicting OS. Conclusion:TMTV, a metabolic indicator, and ECOG PS score, a clinical risk factor, are independent predictors of OS in patients with DEL, and their combination can provide more accurate prognostic predictions.

Information on patients with rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Yangzhou City from 2012 to 2020 was obtained from the Information System of the Chinese Center for Disease Control and Prevention. The epidemic characteristics of RR-PTB patients were analyzed by using χ2 test. The average annual registered incidence rate of RR-PTB patients in Yangzhou City from 2012 to 2020 was 0.57/100 000, and the difference between the registered incidence rates in each year was statistically significant ( χ2=29.326, P<0.001). The proportion of re-treated patients (64.8%) was higher than that of newly treated patients (35.2%, χ2=50.593, P<0.001). The registered incidence rate in males (0.91/100 000) was higher than that in females (0.24/100 000, χ2=80.566, P<0.001). The age distribution showed that the highest incidence rate was in the age group≥60 years (0.96/100 000) and the lowest was in the age group 0-<45 years (0.31/100 000, χ2=55.853, P<0.001). From 2012 to 2020, Baoying County had the largest number of registered RR-PTB patients (44 cases), and its registered incidence rate (0.64/100 000) was only lower than that of Guangling District (0.98/100 000). The registered incidence rate of RR-PTB patients in Baoying County during 2016—2020 also increased significantly compared to 2012—2015 ( P=0.001). Logistic regression was used to analyze the factors related to the treatment outcome of RR-PTB patients. The results showed that patients aged≥60 years and those classified as the re-treatment were risk factors for successful treatment of RR-PTB patients ( P<0.05). In summary, males, people aged≥60 years, patients classified as the re-treatment, and residents of Baoying County should be the key populations for RR-PTB epidemic prevention and control in Yangzhou City.