The thesis introduces the experience of research and application of the information system for emergency doctor workstation.The system consists of the section of patient selection and switch,patient listing,medical records and the maintenance.The application of the system helps the optimization of the work process,the safety drug-taking,the normalization of medical documents,and the share of the medical resources.

Objective To establish and evaluate a gas chromatography-tandem mass spectrometry(GC-MS/MS)method for the detection of six common drugs(methamphetamine,meperidine,caffeine,codeine,cocaine and ketamine)in blood,and to improve the determination basis of results.Methods The above six drugs were added into the blank blood,and GC-MS/MS was used for detection after ether extraction.The collection,quantification and confirmation were carried out under the mode of multi-reaction monitoring(MRM).The qualitative results of the above six drugs were evaluated based on the maximum allowable deviation of the retention time and relative ion abundance ratio in the qualitative results of GC-MS/MS.Results There was a good linear relationship between the six common drugs,among which ketamine and caffeine had the lowest detection limit(0.01 μg/mL),methamphetamine had the highest detection limit(0.5 μg/mL).The retention time(RT)and relative retention time(RRT)of the target substance were stable under the six supplemental levels,and the absolute deviation(ΔRTabsolute)of RT was within±0.025 min.The absolute deviation of RRT(ΔRRTabsolute)was within±0.004.The relative ion abundance ratio absolute deviation(ΔIabsolute)is±20%,and the relative ion abundance ratio relative deviation(ΔIrelative)is±50%.Conclusion This study clarified the reference range for qualitative determination of six common drugs in blood matrix detected by GC-MS/MS,and effectively supplemented the qualitative determination indicators of existing instrumental analysis methods.

Objective:To investigate the application value of transanal intersphincteric resec-tion under direct vision in the Jackknife position in the anal preserving surgery for ultra-low rectal cancer.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 15 patients with ultra-low rectal cancer who underwent transanal intersphincteric resection under direct vision in the Jackknife position, combined with laparoscopic total mesorectal excision in Huizhou Municipal Central Hospital from September 2021 to November 2022 were collected. There were 9 males and 6 females, aged (63±9)years. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Results:(1) Surgical and postoperative outcomes. All the 15 patients underwent operations successfully, without conversion to open abdo-minal operation. There were 5 cases of partial ISR and 10 cases of subtotal ISR. The operation time and volume of intraoperative blood loss of 15 patients were (260±30)minutes and 20(range, 10-30)mL, respectively. The distance from anastomosis to anal margin was (1.6±0.8)cm. The duration of post-operative hospital stay was 10(range, 8-13)days, and all 15 patients underwent colonic and anasto-mosis with staplers and protective ileostomy at the terminal ileum. Three patients had postoperative complications within 30 days after surgery, of whom 1 case with grade A anastomotic leakage was cured after conservative treatment and 2 cases with anastomotic membranous stenosis were cured by anal enlargement. (2) Postoperative pathological examination. The number of lymph nodes dissected of 15 patients was 18 ±6, and the distance between the tumor and distal resection margin was 1.3(range, 1.0-2.0)cm. The surgical specimens of all 15 patients showed complete mesorectum and negative for proximal, distal and circumferential margins. Results of postoperative pathological examination showed that there was 1 case in stage pT1N0M0, 9 cases in stage pT2N0M0, 1 case in stage pT2N1M0, 1 case in stage ypT0N0M0, 2 cases in stage ypT2N0M0, 1 case in ypT3N1M0 stage. The histological subtype showed 11 cases of moderately differentiated adenocarcinoma and 4 cases of well-differentiated adenocarcinoma. (3) Follow-up. All 15 patients were followed up for 15(range, 12-24)months. No local recurrence and distant metastasis of the tumor was found, and no tumor-related death occurred. All 15 patients underwent stoma closure. The postoperative anal function assessment of 15 patients showed no disorder in 5 cases, mild disorder in 8 cases and severe disorder in 2 cases.Conclusion:Transanal intersphincteric resection under direct vision in the Jackknife position in the anal preserving surgery for ultra-low rectal cancer is safe and feasible.

Objective: To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Methods: Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical examination centers in China were included in this retrospective study. Two radiologists, who were not aware of the study design, independently evaluated the coronary angiography images of each subject to make CHD diagnosis. A deep learning model using convolutional neural networks (CNN) was used to label the fundus images according to the presence or absence of CHD, and the model was proportionally divided into training and test sets for model training. The prediction performance of the model was evaluated in the test set using monocular and binocular fundus images respectively. Prediction efficacy of the algorithm for cardiovascular risk factors (e.g., age, systolic blood pressure, gender) and coronary events were evaluated by regression analysis using the area under the receiver operating characteristic curve (AUC) and R² correlation coefficient. Results: The study retrospectively collected 51 765 fundus images from 25 222 subjects, including 10 255 patients with CHD, and there were 14 419 male subjects in this cohort. Of these, 46 603 fundus images from 22 701 subjects were included in the training set and 5 162 fundus images from 2 521 subjects were included in the test set. In the test set, the deep learning model could accurately predict patients' age with an R² value of 0.931 (95%CI 0.929-0.933) for monocular photos and 0.938 (95%CI 0.936-0.940) for binocular photos. The AUC values for sex identification from single eye and binocular retinal fundus images were 0.983 (95%CI 0.982-0.984) and 0.988 (95%CI 0.987-0.989), respectively. The AUC value of the model was 0.876 (95%CI 0.874-0.877) with either monocular fundus photographs and AUC value was 0.885 (95%CI 0.884-0.888) with binocular fundus photographs to predict CHD, the sensitivity of the model was 0.894 and specificity was 0.755 with accuracy of 0.714 using binocular fundus photographs for the prediction of CHD. Conclusion: The deep learning model based on fundus photographs performs well in identifying coronary heart disease and assessing related risk factors such as age and sex.
Humans ; Male ; Retrospective Studies ; Deep Learning ; Fundus Oculi ; ROC Curve ; Algorithms ; Risk Factors ; Coronary Disease/diagnostic imaging*