Objective: To construct a model for clinical identification of spotted fever (SF) and severe fever with thrombocytopenia syndrome (SFTS), so as to provide insights into early identification of SF and SFTS. Methods: The clinical data of laboratory-confirmed SF and SFTS patients in secondary and tertiary hospitals in Lu'an City, Anhui Province from May 2017 to May 2021 were retrieved from Chinese Disease Prevention and Control Information System. Factors affecting SF were identified using a logistic regression model, and the model for early identification of SF and SFTS was created. The model fitting effect was evaluated using Hosmer-Lemeshow test, and the value of the model for identification of SF and SFTS was evaluated using the area under the receiver operating characteristic curve (AUC). Results: Data of 62 SF cases and 115 SFTS cases were included. Multivariable logistic regression analysis showed that rash (β=5.994), C-reactive protein (β=4.409), white blood cell (β=-3.176) and platelet (β=-3.234) were included in the model, which were scored 6, 4, -3 and -3, with a total score ranging from -5 to 10. Hosmer-Lemeshow test revealed a high model fitting effect (χ2=3.245, P=0.662). The AUC of the model was 0.992, and the sensitivity and specificity were 0.935 and 0.991 if the cutoff was 1. Conclusion A model for early identification of SF and SFTS that includes four variables of rash, C-reactive protein, white blood cell and platelet has been created, which has a high accuracy.

OBJECTIVETo investigate general and clinicopathological characteristics of male breast cancer and analyzed the factors affecting the outcomes of the patients based on the data from a single institution.

METHODSTwenty-five male breast cancer patients treated at Sun Yet-sen University Cancer Center between January 1, 2000 and April 30, 2011 were included into the study. The patients were followed up for 1 to 90 months with a median follow-up of 51 months. The general and clinicopathological characteristics including family history, age, smoking, alcohol drinking, site of tumor, location of tumor, histological type, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), Ki-67, vascular endothelial growth factor (VEGF), P53 expression, neoadjuvant chemotherapy, surgery, adjuvant chemotherapy, adjuvant radiotherapy, adjuvant endocrine therapy, tumor size, lymph node status, distant metastasis and TNM stage were investigated by univariate analysis to evaluate the impact of these factors on patient survival.

RESULTSThe 5-year survival rate was 66.5% in these patients. Neoadjuvant chemotherapy, tumor size, lymph node status, distant metastasis and TNM stage were significant predictors for the overall survival. Patients receiving adjuvant endocrine therapy tended to have a better overall survival, though this was not supported statistically (P=0.086). However, patients with neoadjuvant chemotherapy had a poorer overall survival than those without it (P=0.000). Patients in stages I and II had better overall survival than those in stages III and IV (P=0.000).

CONCLUSIONThe 5-year survival rate was 66.5% in these male breast cancer patients. Neoadjuvant chemotherapy, tumor size, lymph node status, distant metastasis and TNM stage are significant predictors of the overall patient survival.

Breast Neoplasms, Male ; diagnosis ; drug therapy ; pathology ; Follow-Up Studies ; Humans ; Male ; Neoplasm Metastasis ; Neoplasm Staging ; Prognosis ; Survival Rate

Objective:To investigate the application value of Laennec approach in laparoscopic anatomical right hemihepatectomy (LARH).Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 2 female patients who underwent LARH via Laennec approach in the First Affiliated Hospital of Kangda College of Nanjing Medical University from May to July 2020 were collected. The two patients were 51 and 57 years old, respectively. Observation indicators: (1) surgical situations; (2) postoperative situations and follow-up. Follow-up using outpatient examination and telephone interview was conducted to detect post-operative survival and tumor recurrence of patients up to December 2020. Count data were repre-sented as absolute numbers.Results:(1) Surgical situations: 2 patients successfully underwent LARH via Laennec approach, without conversion to open surgery. The operation time was 180 minutes and 185 minutes, and the volume of intraoperative blood loss was 200 mL and 400 mL, respectively. No blood transfusion or gastrointestinal decompression was performed in either patient. (2) Postoperative situations and follow-up: 2 patients began to take liquid diet on the first day and out-of-bed activities on the postoperative second to third day. There was no postoperative bile fistula or bleeding, but different degrees of peritoneal and pleural effusion occurred to the 2 patients after operation. One case was improved after right-sided thoracentesis and chest tube drainage due to dyspnea, and the other case was cured after conservative therapy. There was no perioperative death. The duration of postoperative hospital stay of 2 patients was 13 days and 11 days, respectively. Results of pathological examination showed 1 case of hepatic hemangioma and 1 case of primary liver cancer, respectively. The Laennec capsule was observed on the hepatic vein branches of segment Ⅴ, Ⅵ, Ⅶ, Ⅷ, and the gap existed between the Laennec capsule and the hepatic vein. Two patients were followed up for 7 months and 5 months，respectively. They survived during the follow-up，without tumor recurrence.Conclusion:It is safe and feasible to perform LARH by Laennec approach.

Objective To develop a diagnostic model based on deep neural network for intelligent discrimination of thyroid function. Methods A total of 1616 patients ( 283 males, 1333 females, average age:52 years) who underwent thyroid imaging between May 2016 and June 2018 were selected. According to the clinical diagnosis, the 1616 cases included 299 normal thyroid cases, 876 hyperthyroidism cases and 441 hypothyroidism cases. Feature extraction and learning training were performed on 1000 training set sam-ples by two deep neural network models ( AlexNet;deep convolution generative adversarial networks ( DCGAN) ) using deep learning algorithm. Performance verifications were implemented on 616 test set samples. The con-sistency between the verification results of the two models and the clinical diagnosis was analyzed by Kappa test. Meanwhile, the time advantage of the intelligent diagnosis models was analyzed. Results The average diagnostic time of AlexNet model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 82.29％(79/96), 94.62％(369/390), 100％(130/130), respectively. The Kappa value between results of AlexNet model and clinical diagnosis was 0.886 ( P<0.05) . The average di-agnostic time of DCGAN model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 85.42％(82/96), 95.64％(373/390), 99.23％(129/130), respectively. The Kappa value between results of DCGAN model and clinical diagnosis was 0.904 ( P<0.05) . Conclusion The deep neural network intelligent diagnosis model can quickly determine the functional status of thyroid gland in thyroid imaging, and it has a high recognition accuracy, thus providing a new method for thyroid image review.

Neurodevelopmental disorders(NDDs)are chronic developmental brain disorders that can affect cognition,motor,social adaptation,behavior and so on due to multiple genetic or acquired causes.Natural polysaccharides are synthesized by living organisms,located in the cell wall,inside and between cells,and outside the cells,and are essential components of life activities.Previous studies have found that natural polysaccharides play an important role in neurological diseases,which mainly ameliorate the behavioral abnormalities and clinical symptoms caused by anti-oxidative stress,anti-neuronal apoptosis,anti-neuroinflammation,anti-excitatory amino acid toxicity,and regulation of the brain-gut axis.This review summarizes the intervention role of 17 bioactive polysaccharides from plants and fungi in neurological diseases,aiming to provide new ideas for the research and treatment of NDDs.

Objective:To investigate the application value of dynamic scintigraphy single-photonemission computed tomography (SPECT) 99m-technetium-galactosyl human serum albumin diethy-lenetriamine pentaacetic ( 99Tc m-GSA) scintigraphy in assessing liver function of perihilar cholangio-carcinoma after portal vein embolization (PVE). Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 16 patients with perihilar cholangiocarcinoma who underwent 99Tc m-GSA scintigraphy after PVE in Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University from October 2019 to January 2021 were collected. There were 8 males and 8 females, aged from 46 to 78 years, with a median age of 64 years. Observation indicators: (1) liver volume after PVE; (2) liver function after PVE; (3) typical case analysis. Measurement data with normal distribution were represented as Mean± SD. Count data were represented as absolute numbers or percentages. Comparison of data of the same patient was analyzed using the paired t test. Results:(1) Liver volume after PVE:the morphological liver volume and functional liver volume for the 16 patients were (1 420±211)mL and (389±112)mL. The morphological liver volume and functional liver volume were (636±143)mL and (234±106)mL of planning reserved lobe, (784±210)mL and (151±106)mL of planning resection lobe, respectively. The functional liver density (FLD) of planning reserved lobe and planning resection lobe were 0.36±0.12 and 0.19±0.11, showing a significant difference between them ( t=3.794, P<0.05). The planning resection rate of morpholo-gical liver volume and functional liver volume were 37.8%±0.6% and 54.8%±0.2%, showing a significant difference between them ( t=?3.720, P<0.05). (2) Liver function after PVE: 13 of 16 patients completed the indocyanine green (ICG) test, and 3 patients didn't complete the ICG test due to intolerance. For the 13 patients undergoing ICG test, the total ICG-K value was (0.15±0.03)/minutes, and the ICG-K value of planning reserved lobe was (0.07±0.02)/minutes. The total GSA-K value of 16 patients was (0.14±0.10)/minutes, and the GSA-K value of planning reserved lobe was (0.08±0.06)/minutes. (3) Typical case analysis: a 46-year-old male patient with type Bismuth Ⅲa perihilar cholangiocarcinoma was planned to perform perihilar hepatectomy combined with right hepatectomy. The imaging evaluation showed that the volume of reserved liver lobe accounted for 27% of the total liver volume. The serum total bilirubin was 256 μmol/L when admitted and decreased to 118 μmol/L on the day 5 after percutaneous transhepatic biliary drainage. The right anterior and right posterior branches of PVE was performed. SPECT 99Tc m-GSA examination was performed on the day 37 after PVE. The morphological liver volume was 559 mL of planned reserved lobe and 1 461 mL of the whole liver. The planned morphological liver volume resection rate was 61.7%. ICG-K was 0.12/minutes of the whole liver, and 0.04/minutes of planned reserved lobe. The functional liver volume was 134 mL of planned reserved lobe and 309 mL of the whole liver. The planned resection rate of functional liver volume was 56.6%. The GSA-K was 0.20/minutes of the whole liver and 0.09/minutes of planned reserved lobe. R 0 resection was achieved in perihilar hepatectomy combined with right hepatectomy and no liver failure occurred. The survival time of patients was 11 months. Conclusion:Dynamic SPECT 99Tc m-GSA scintigraphy can effectively evaluate the regional function of the reserved liver lobe in patients with perihilar cholangiocarcinoma after PVE.

OBJECTIVE To compare the efficacy and safety of lacosamide （LCM） and carbamazepine （CAR） as monotherapy in the treatment of adult patients with newly diagnosed epilepsy. METHODS By methods of retrospective analysis， 84 adult patients with newly diagnosed epilepsy， were admitted to the Department of Neurology， Huaihe Hospital of Henan University during Sept. 2020-Jun. 2022， were divided into the control group （40 cases， receiving CAR treatment） and the observation group （44 cases， receiving LCM treatment） according to different medication regimens. Total response rate， epilepsy seizure frequency， blood lipid levels， and the occurrence of adverse events （AEs） of patients were compared between the 2 groups. RESULTS In the first month after treatment， there was no statistically significant difference in the total response rate between the observation group （63.64%） and the control group （55.00%， P＞0.05）； the frequency of epilepsy seizure in both groups was significantly reduced compared to before treatment （P＜0.05）， but there was no statistically significant difference between 2 groups （P＞0.05）. In the third month after treatment， the total response rate of the observation group （90.91%） was significantly higher than control group （67.50%， P＜0.05）； the frequencies of epilepsy seizure in both groups were significantly reduced compared to before treatment， and the observation group was significantly lower than the control group （P＜0.05）. In the third month after treatment， the levels of total cholesterol （TC）， triglyceride （TG） and low-density lipoprotein cholestrol （LDL-C） in the control group and the level of LDL-C in the observation group were significantly higher than before treatment， and the levels of TC， TG and LDL-C in the observation group were significantly lower than those in the control group （P＜0.05）. There was no statistically significant difference in the incidence of AEs between the observation group （15.91%） and the control group （17.50%， P＞0.05）. CONCLUSIONS Both LCM and CAR have certain effects in the treatment of newly diagnosed epilepsy in adults， which can reduce the frequency of epilepsy seizure in patients and have comparable safety. Meanwhile， LCM has better long-term efficacy than CAR in treating newly diagnosed epilepsy in adults， and its impact on the patient’s blood lipid is smaller than CAR.