ObjectiveTo evaluate therapeutic effect and the possible mechanism of smecta on paraqual plasma concentrations and multiorgans injury induced by paraquat intoxication in rats. Methods A total of 76 healthy adult SD rats were randomly ( random number) divided into group A (control group n =6),group B ( poisoned group n =30 ),group C (smecta-treated group n=30).Rats in groups B and C were treated intragastrically with PQ at 50 mg/kg,the rats in the group C were given with smecta at 50 mg/kg,while the rats in the other two groups were only intragastrically adminstered with saline.Live rats in groups B and C were sacrificed at 2,6,24,48,72 h after administration of PQ for the determination of paraquat plasma concentrations and for HE staining of lung,stomach and jejunum.The rats were executed at the end of trial by the same way in group A.All measurement data were expressed as means + standard deviation ((x) ±s).The data of pathological score were compared with Independent-samples T test and the data of PQ concentration compared with analysis of variance (ANOVA) followed by LSD-t multiple comparison test.P-values of less than 0.05 were considered statistically significant.ResultsThe paraquat plasma concentration ( ng/ml ) was 440.314 ± 49.776 to 4320.6150 ± 413.947.There were different pathological changes of lung,stomach and jejunum in group B. Lung injuries gradually deteriorated,congestion,edema,leukocyte infiltration,incrassated septa and lung consolidation were observed.The pathological changes were obvious such as abruption of mucosa,hyperemic gastric mucosa and leukocyte infiltration in stomach.Haemorrhage of jejunum mucosa,abruption of villus,gland damage and inflammatory cell infiltration were found. Compared with group B,all the pathological changes mentioned above were obviously alleviated in group C ( P ＜ 0.05 ),and the concentrations reduced ( P ＜ 0.01 ).Conclusions Smecta reduced paraquat plasma concentrations and alleviated pathologic injury of rats with PQ poisoning.

Objective To investigate the prevalence of drug-resistant mutations in reverse transcriptase and protease coding regions of HIV-1 in treatment-na(i)ve patients. MethodsPlasma specimens were collected from 88 patients from Zhejiang, Shanghai, Henan and Anhui. The entire protease gene and the first 1-251 amino acids of the reverse transcriptase gene were amplified by RT-PCR from viral RNA and sequenced. The sequences were analyzed with HIV drug resistance algorithm, and phyligenetic analyses were performed by PHYLIP software. SPSS 13.0 was used for statistical analysis, and Fisher' s exact test was performed to compare the proportions of each subtype between the groups. Results79 gene sequences were obtained, subtyping analyses indicated that 68.4％ (54/79) were subtype B, followed by CRF01 _AE 24.8％ (22/79), CRF07_BC2.5％ (2/79),andCRF08_BC1.3％ (1/79). 7 (7/79,8.9％)presented with primary mutations associated with resistance to antiretroviral drugs, mutations conferring primary resistance to nucleoside reverse transcriptase inhibitors (NRTIs) and non-nucleoside reverse transcriptase inhibitors ( NNRTIs ) were detected in 3 ( 3. 8％ ) and 4 ( 5. 1％ ) cases, respectively. Protease inhibitors (Pls)associated primary resistance mutations were not found.Conclusion Antiretroviral drug resistant mutations have been found in treatment-na(i)ve patients with HIV-1 infections, while the prevalence level is low, which indicates that drug resistance test is not necessary for most HIV-1infected treatment-na(i)ve patients.

Objective To compare the efficacy between percutaneous compression plate (PCCP) and cannulated compression screw for undisplaced femoral neck fracture among the elderly.Methods A retrospective case-control study was made on 46 elderly patients with undisplaced femoral neck fracture between August 2011 and September 2015.There were 14 males and 32 females,with the age of (76.9 ± 12.1) years (range,60-85 years).The fracture types included Garden Ⅰ in 12 patients and Garden Ⅱ in 34.These patients were divided into PCCP group (PCCP for undisplaced femoral neck fracture in 23 patients) and cannulated screw group (three cannulated compression screws for undisplaced femoral neck fracture in 23 patients),according to different surgical fixations.The following data were compared between two groups,namely,operation time,intraoperative blood loss,postoperative hemoglobin decline,postoperative length of hospital stay,postoperative partial time of weight-bearing and full weight-bearing,fracture healing time,Harris hip score (HHS) as well as postoperative complications.Results All 46 patients were followed up,with follow-up duration for (34.6± 15.3)months (range,12-60 months) in PCCP group and for (32.9 ±17.3) months (range,12-60 months) in cannulated screw group (P ＞ 0.05).There were no statistically significant difference between two groups in terms of operation time,intraoperative blood loss,postoperative hemoglobin decline,postoperative length of hospital stay,fracture healing time,and postoperative full weight-bearing time (P ＞ 0.05).The partial weight-bearing time of patients in PCCP group was earlier than that in cannulated screw group (P ＜ 0.05).The HHS of patients at postoperative 3 months in PCCP group was better than that in cannulated screw group (P ＜ 0.05),but the HHS at the final follow-up had no statistically significant difference between two groups (P ＞ 0.05).There was no statistically significant difference in the incidence of postoperative complications between PCCP group (9％) and the cannulated screw group (13％) (P ＞ 0.05).Conclusions Usage of PCCP or cannulated compression screw can obtain satisfactory clinical results for the undisplaced femoral neck fracture among the elderly.But PCCP has the advantages of earlier partial weight-bearing time and faster recovery.

Dementia is one of the age-related diseases with the fastest increase in incidence. With the increasingly severe aging problem of the population, it further exacerbates the demand and burden of the healthcare system. Red blood cell distribution width (RDW) is an easily obtainable blood routine indicator that reflects the variability of red blood cell size. As an early marker of dementia risk, researches have shown an association between white matter hyperintensities (WMHs) and RDW. This article reviews the relationship between RDW and WMHs.

Objective:Four methods were used to count platelets to recommend suitable retest methods for abnormal blood platelet count.Methods:A total of 300 patients who received treatment in the Second People's Hospital of Lianyungang during August-September 2020 were included in this study. They were divided into low-value, median-value, and high-value groups ( n = 100/group) according to blood platelet counts determined by the electrical impedance method. The consistency in blood platelet counting was analyzed between flow cytometry and electrical impedance method, Neubauer chamber method, and modified blood smear method. Results:There was no significant difference in blood platelet count between the electrical impedance method [low-value group: (86.1 ± 10.3) × 10 9/L, median-value group: (221.8 ± 41.8) × 10 9/L, high-value group: (441.3 ± 51.4) × 10 9/L, Neubauer chamber method [low-value group: (85.2 ± 10.1) × 10 9/L, median-value group: (219.3 ± 37.7) × 10 9/L, high-value group: (443.1 ± 54.5) × 10 9/L, modified blood smear technique [low-value group: (86.1 ± 10.1) × 10 9/L, median-value group: (218.1 ± 37.7) × 10 9/L, high-value group: (442.6 ± 53.3) × 10 9/L], and flow cytometry [low-value group: (85.4 ± 10.1) × 10 9/L, median-value group: (220.7 ± 42.0) × 10 9/L, high-value group: (440.9 ± 50.0) × 10 9/L] (all P > 0.05). The Bland-Altman analysis revealed that the electrical impedance method, Neubauer chamber method and modified blood smear method, and flow cytometry showed consistency in blood platelet count. Conclusion:The modified blood smear method showed consistency with the electrical impedance method, Neubauer chamber method, and flow cytometry in blood platelet counting. It does not require a special instrument and can help observe cell morphology for blood platelet counting. In addition, the blood smears are easy to be preserved. The modified blood smear technique should be the first choice for re-checking blood platelet counts.

Mild cognitive impairment(MCI)is often regarded as a prodromal stage of dementia,primarily characterized by mild decline in cognitive function.Due to the mild nature of its symptoms,many MCI cases miss the opportunity for intervention.Research indicates that linguistic changes in MCI may precede other cognitive symptoms,providing an opportunity for early identification and intervention.These linguistic changes include abnormalities in speech rate,pronunciation,and intonation.Speech repetition tasks,such as the five-word test,delayed digit matching,and sentence repetition tests,are effective methods for assessing the speech characteristics of MCI patients.These tasks involve asking patients to repeat specific content,and analyzing the accuracy of their repetitions to assess their speech function.The application of machine learning and deep learning techniques enables automatic extraction of MCI-related features from speech data,improving diagnostic accuracy.The combined application of these techniques contributes to the early detection of MCI,providing a basis for timely intervention.

Objective:To investigate the behavior and emotion of trainees (residents) in the standardized residency training under the novel coronavirus pneumonia (NCP) epidemic, and adjust the training plan and mode of standardized residency training during the NCP epidemic according to the survey results.Methods:A real-name closed questionnaire survey was conducted among 40 residents (27 ultrasound majors and 13 other majors) in ultrasound department using the "Questionnaire Star" WeChat applet, including basic personal information, questions related to NCP, behavioral change survey, behavioral attitude survey and emotional status survey. All the collected data were further statistically analyzed by Chi-square test and rank sum test using SPSS 19.0Results:There were forty valid questionnaires and the participation rate was 100.0%. The accuracy of 24 NCP-related questions was not significantly different between residents majoring in ultrasound and other specialties [92.0%(596/648) vs. 93.6%(292/312), P>0.05]. All the residents had a good understanding of NCP. The main behaviors of going out were significantly reduced, while various behaviors of being at home were significantly increased. Their interest in learning declined. When the epidemic happened (or possibly) in the community or village they lived in, their negative emotions, such as nervousness, fear pessimism and depression, were obviously expressed. Network teaching and evaluation through WeChat public number were adopted and we guided residents to adjust their home behaviors and emotions according to the survey results. Conclusion:Under the NCP epidemic, the behaviors and emotions of residents had been extensively changed. The training center should adjust the teaching plan and mode of training in time, and provide more counselling service in psychology and learning for residents during the epidemic.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective: To investigate the changes of surgical invitations on necrotizing pancreatitis in recent 14 years by reviewing single center data. Methods: One thousand and eighty patients with necrotizing pancreatitis who received surgical invitation were involved in the study.All the patients were treated at Department of Pancreatic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January 2005 to December 2018. Six hundred and seventy-eight were males and 402 were females. The median (range) age of the study patients was 45 (20-76) years.The etiology of the disease was related to cholelithiasis in 335 cases(31.02%), hyperlipemia in 302 cases(27.96%), alcohol in 226 cases(20.93%), endoscopic retrograde cholangiopancreatography in 28 cases(2.59%), pregnancy in 50 cases(4.63%), idiopathic factors in 72 cases(6.67%) and other causes in 67 cases(6.20%). The patients were divided into two groups according to the time of admission. Group 1 included 1 475 patients that admitted from January 2005 to December 2010, and group 2 included 1 539 patients that admitted from January 2011 to December 2018. The surgical interventions, morbidity and mortality of the two group were compared, and χ² test was used for the statistical test. Results: Two hundred and sixty-six among the 1 080 cases were treated with drainage procedures because of the pseudocyst.One hundred and seventy-five drainage procedures were performed between January 2005 and December 2018, which account for 11.87%(175/1 475) of all patients of necrotizing pancreatitis; 91 drainage procedures were performed between January 2011 and December 2018, which account for 5.91%(91/1 539) of all patients of necrotizing pancreatitis. Eight hundred and fourteen cases received surgical intervention for infection of necrotizing tissues. Of these cases, 410 cases received percutaneous catheter drainage(PCD) of retroperitoneal fluid or residual infection. Debridement of necrotic tissues was performed on 756 cases. Of these cases, 32 cases received minimal invasive retroperitoneal debridement with/without denotes video assistant, 4 cases received transluminal endoscopic debridement, 21 cases received laparoscopic debridement, and 709 cases received open laparotic debridement.Three hundred and sixty-five cases were admitted to our institute during January 2005 to December 2010, and the other 391 cases were admitted to our institute from January 2011 to December 2018. Of the first period, all debridement were performed with open laparotic procedures. Of the second period, debridement were performed with open laparotic procedures and minimal invasive procedures. The average times of surgical invasion, morbidity of principal local complications and mortality of the two periods were 1.27 and 1.34,28.22%(103/365) and 29.92%(117/346), and 6.03%(23/365) and 6.91%(27/346), respectively. Conclusions Minimal invasive procedures can be considered for debridement in patients with necrotizing pancreatitis in some selected conditions.The involvements of minimal invasive procedures in treatment of necrotizing pancreatitis don′t decrease the morbidity of principal local complications and mortality in recent years. Rational surgical procedures and appropriate surgical timing are the keys to improve the efficacy of necrotizing pancreatitis.