Objective:To investigate the feasibility of predicting the risk of spontaneous preterm birth in singleton pregnancy women with low risk of preterm birth by transabdominal-transvaginal ultrasound cervical length sequential screening in the second trimester.Methods:This prospective longitudinal cohort study included singleton pregnant women at 11-13 +6 gestational weeks who were admitted to Nanjing Drum Tower Hospital from January 2023 to September 2023. Transabdominal and transvaginal cervical lengths were measured during the mid-trimester fetal ultrasound scan at 18-24 weeks, and pregnancy outcomes were obtained after delivery. A short cervix was defined as a transvaginal cervical length of ≤25 mm, and the outcomes were defined as spontaneous preterm birth occurs between 20 and 36 +6 weeks and extremely preterm birth before 32 weeks. The area under the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of predicting spontaneous preterm birth by transabdominal and transvaginal cervix length, as well as the effectiveness of predicting short cervix by transabdominal cervical length. The relationship between transabdominal and transvaginal cervical length was evaluated using a scatter plot. Results:A total of 562 cases were included in this study, comprising 33 cases of spontaneous preterm birth (7 cases occurring before 32 weeks) and 529 cases of term birth. (1) Compared to the term birth group, transabdominal cervical length (median: 37.6 vs 33.2 mm; Z=-3.838, P<0.001) and transvaginal cervical length (median: 34.0 vs 29.9 mm, Z=-3.030, P=0.002) in the spontaneous preterm birth group were significantly shorter. (2) The areas under the ROC curve for predicting spontaneous preterm birth by transabdominal and transvaginal cervical length were 0.699 (95% CI: 0.588-0.809) and 0.657 (95% CI: 0.540-0.774), respectively. The sensitivity, specificity and positive predictive value of transvaginal cervical length Conclusions:In singleton pregnancy women with low risk of preterm birth, transabdominal-transvaginal cervical length sequential screening can reduce unnecessary transvaginal ultrasounds by approximately 41% without missing the diagnosis of pregnant women with a short cervix. This method also enhances the effectiveness of transvaginal cervical length to spontaneous preterm birth.

Objective:To assess the diagnostic efficacy of upper gastrointestinal endoscopic image assisted diagnosis system (ENDOANGEL-LD) based on artificial intelligence (AI) for detecting gastric lesions and neoplastic lesions under white light endoscopy.Methods:The diagnostic efficacy of ENDOANGEL-LD was tested using image testing dataset and video testing dataset, respectively. The image testing dataset included 300 images of gastric neoplastic lesions, 505 images of non-neoplastic lesions and 990 images of normal stomach of 191 patients in Renmin Hospital of Wuhan University from June 2019 to September 2019. Video testing dataset was from 83 videos (38 gastric neoplastic lesions and 45 non-neoplastic lesions) of 78 patients in Renmin Hospital of Wuhan University from November 2020 to April 2021. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD for image testing dataset were calculated. The accuracy, the sensitivity and the specificity of ENDOANGEL-LD in video testing dataset for gastric neoplastic lesions were compared with those of four senior endoscopists.Results:In the image testing dataset, the accuracy, the sensitivity, the specificity of ENDOANGEL-LD for gastric lesions were 93.9% (1 685/1 795), 98.0% (789/805) and 90.5% (896/990) respectively; while the accuracy, the sensitivity and the specificity of ENDOANGEL-LD for gastric neoplastic lesions were 88.7% (714/805), 91.0% (273/300) and 87.3% (441/505) respectively. In the video testing dataset, the sensitivity [100.0% (38/38) VS 85.5% (130/152), χ2=6.220, P=0.013] of ENDOANGEL-LD was higher than that of four senior endoscopists. The accuracy [81.9% (68/83) VS 72.0% (239/332), χ2=3.408, P=0.065] and the specificity [ 66.7% (30/45) VS 60.6% (109/180), χ2=0.569, P=0.451] of ENDOANGEL-LD were comparable with those of four senior endoscopists. Conclusion:The ENDOANGEL-LD can accurately detect gastric lesions and further diagnose neoplastic lesions to help endoscopists in clinical work.

Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.

Objective:To evaluate the impact of artificial intelligence (AI) system on the diagnosis rate of precancerous state of gastric cancer.Methods:A single center self-controlled study was conducted under the premise that such factors were controlled as mainframe and model of the endoscope, operating doctor, season and climate, and pathology was taken as the gold standard. The diagnosis rate of precancerous state of gastric cancer, including atrophic gastritis (AG) and intestinal metaplasia (IM) in traditional gastroscopy (from September 1, 2019 to November 30, 2019) and AI assisted endoscopy (from September 1, 2020 to November 15, 2020) in the Eighth Hospital of Wuhan was statistically analyzed and compared, and the subgroup analysis was conducted according to the seniority of doctors.Results:Compared with traditional gastroscopy, AI system could significantly improve the diagnosis rate of AG [13.3% (38/286) VS 7.4% (24/323), χ2=5.689, P=0.017] and IM [33.9% (97/286) VS 26.0% (84/323), χ2=4.544, P=0.033]. For the junior doctors (less than 5 years of endoscopic experience), AI system had a more significant effect on the diagnosis rate of AG [11.9% (22/185) VS 5.8% (11/189), χ2=4.284, P=0.038] and IM [30.3% (56/185) VS 20.6% (39/189), χ2=4.580, P=0.032]. For the senior doctors (more than 10 years of endoscopic experience), although the diagnosis rate of AG and IM increased slightly, the difference was not statistically significant. Conclusion:AI system shows the potential to improve the diagnosis rate of precancerous state of gastric cancer, especially for junior endoscopists, and to reduce missed diagnosis of early gastric cancer.

Objective:To evaluate the Kyoto gastritis score for diagnosing Helicobacter pylori ( HP) infection in Chinese people. Methods:A total of 902 cases who underwent 13C-urea breath test and gastroscopy at the same time at the Digestive Endoscopy center of Renmin Hospital of Wuhan University from January 2020 to December 2020 were studied retrospectively, including 345 cases of HP-positive and 557 of HP-negative. The differences of mucosal features and Kyoto gastritis score between HP-positive and HP-negative patients were analyzed. A receiver operating characteristic curve was plotted to predict HP infection by Kyoto gastritis score. Results:Compared with HP-negative patients, nodules [8.1% (28/345) VS 0.2% (1/557), χ2=86.29, P<0.001], diffuse redness [47.8% (165/345) VS 6.6% (37/557), χ2=413.63, P<0.001], atrophy [27.8% (96/345) VS 13.8% (77/557), χ2=52.90, P<0.001] and fold enlargement [69.0% (238/345) VS 36.6% (204/557), χ2=175.38, P<0.001] occurred more frequently in HP-positive patients. For predicting HP infection, nodules showed the highest specificity [99.8% (556/557)] and positive predictive value [96.6% (28/29)], diffuse redness showed the largest area under the receiver operating characteristic curve (AUC) of 0.707, and fold enlargement showed the highest sensitivity [69.0% (238/345)] and negative predictive value [76.7% (353/460)]. The Kyoto gastritis score of HP-positive patients was higher than that of HP-negative patients [2 (1, 2) VS 0 (0, 1), Z=20.82, P<0.001]. Furthermore, at an optimal threshold of 2, the AUC of the Kyoto gastritis score for predicting HP infection was 0.779. Conclusion:Nodules, diffuse redness, atrophy and fold enlargement under gastroscopy can suggest positive of HP infection, and the Kyoto gastritis score≥2 is sufficient reference to diagnose HP positive.

Objective:To assess the influence of an artificial intelligence (AI) -assisted diagnosis system on the performance of endoscopists in diagnosing gastric cancer by magnifying narrow banding imaging (M-NBI).Methods:M-NBI images of early gastric cancer (EGC) and non-gastric cancer from Renmin Hospital of Wuhan University from March 2017 to January 2020 and public datasets were collected, among which 4 667 images (1 950 images of EGC and 2 717 of non-gastric cancer)were included in the training set and 1 539 images (483 images of EGC and 1 056 of non-gastric cancer) composed a test set. The model was trained using deep learning technique. One hundred M-NBI videos from Beijing Cancer Hospital and Renmin Hospital of Wuhan University between 9 June 2020 and 17 November 2020 were prospectively collected as a video test set, 38 of gastric cancer and 62 of non-gastric cancer. Four endoscopists from four other hospitals participated in the study, diagnosing the video test twice, with and without AI. The influence of the system on endoscopists′ performance was assessed.Results:Without AI assistance, accuracy, sensitivity, and specificity of endoscopists′ diagnosis of gastric cancer were 81.00%±4.30%, 71.05%±9.67%, and 87.10%±10.88%, respectively. With AI assistance, accuracy, sensitivity and specificity of diagnosis were 86.50%±2.06%, 84.87%±11.07%, and 87.50%±4.47%, respectively. Diagnostic accuracy ( P=0.302) and sensitivity ( P=0.180) of endoscopists with AI assistance were improved compared with those without. Accuracy, sensitivity and specificity of AI in identifying gastric cancer in the video test set were 88.00% (88/100), 97.37% (37/38), and 82.26% (51/62), respectively. Sensitivity of AI was higher than that of the average of endoscopists ( P=0.002). Conclusion:AI-assisted diagnosis system is an effective tool to assist diagnosis of gastric cancer in M-NBI, which can improve the diagnostic ability of endoscopists. It can also remind endoscopists of high-risk areas in real time to reduce the probability of missed diagnosis.

Objective:To investigate the effect of nurse-led multiple disciplinary team-based intervention in the prevention of venous thromboembolism in paitents undergoing general surgery.Methods:A total of 118 patients who underwent general surgery in the Tianjin First Central Hospital from May 2017 to October 2018 were divided into study group and control group by random digits table method, with 59 cases in each group. The control group received routine thrombosis prevention nursing, the study group carried out nurse-led multiple disciplinary team-based intervention. The condition of lower limbs deep venous hemodynamic was detected by color Doppler ultrasonography at 3 days after surgery, the levels of D-dimer, thrombelastograph coagulation analyzer (TEG) coagulation parameters were also measured at after 24 hours of admission and postoperative day 3, respectively.Results:The vein blood stasis rate was 94.9% (3/59) in the study group, 79.7% (12/59) in the control group, the venous blood flow of the lower 1imbs in the study group was better than that in the control group ( Z value was 2.477, P<0.05). At 3 days after surgery, the levels of D-dimer were (5.26±1.42) mg/L in the study group, (6.36±1.58) mg/L in the control group, D-dimer was decreased in study group compared to the control group, the difference was statistically significant ( t value was 3.991, P<0.05). Coagulation reaction time(R) value and solidification angle(Angel), maximum thrombus intensity(MA), composite coagulation index(CI) levels were (5.30±0.91) min, (69.64±21.93) deg, (65.40±13.76) mm and (1.23±0.20) in the study group, those index were (4.41±0.75) min, (76.64±16.02) deg, (70.98±13.39) mm, (2.09±0.36) in the control group, R value were increased and Angel, MA, CI levels were decreased in the study group compared to the control group ( t value was 2.001-15.997, P<0.05). Conclusions:Nurse-led multiple disciplinary team-based intervention improves the lower limbs deep venous hemodynamic and coagulation function, as well as reduce the incidence of venous thromboembolism.

course of Internal Medicine and Surgery Nursing. Methods From September 2014 to July 2016, the Grade 2013 nursing students at the Sino American cooperative nursing class in the Nursing College of Wenzhou Medical University were selected as the experimental group by convenient sampling method, with a total of 59 people. The Grade 2012 nursing students in the Sino American cooperative nursing class were selected as the control group, with a total of 60 people. The nursing students in the control group received traditional teaching methods and the nursing students in the experimental group received the self participating teaching method. We compared students' self-learning ability, theoretical knowledge and comprehensive practical ability between the two groups. Results The total score of self-learning ability and the scores of all dimensions of experimental group were higher than those in the control group after class, and the differences were statistically significant (P< 0.05). The scores of theoretical knowledge and comprehensive practice ability of the experimental group were higher than those of the control group, and the differences were statistically significant (P< 0.05). Conclusions Self participation teaching method is a teaching method that helps teachers play a leading role in giving play to students' main body status. It helps to promote the development of nursing students' independent learning ability, and improve their theoretical level and nursing practice ability.

OBJECTIVETo compare the difference between acupuncture and estazolam on arousal state in patients of primary insomnia, and to explore its nerve electrophysiology mechanism.

METHODSSixty-four patients of primary insomnia were randomized into an acupuncture group (32 cases) and a medication group (32 cases). After 3 patients were excluded, 31 cases in the acupuncture group and 30 cases in the medication group were included. Patients in the acupuncture group were treated with acupuncture at Sishencong (EX-HN 1), Anmian (Extra), Shenmen (HT 7), Sanyinjiao (SP 6), Zhaohai (KI 6), Shenmai (BL 62) as main acupoints, combined with supporting acupoints, once a day, five times per week, continuously for 4 weeks. Patients in the medication group were treated with oral administration of estazolam, once a day, continuously for 4 weeks. The Pittsburgh sleep quality index (PSQI) and mean sleep latency (MSL) of multiple sleep latency test (MSLT) were compared before and after treatment in the two groups; the polysomnography (PSG) was applied to monitor the indices regarding sleep structure.

RESULTSCompared before treatment, PSQI score was reduced after treatment in the two groups (both<0.01), which was more significant in the acupuncture group (<0.05). Compared before treatment, sleep onset latency (SOL), number of awakenings (NWAK) and wake after sleep onset (WASO) were reduced, while total sleep time (TST) and sleep efficiency (SE) were significantly increased in the two groups after treatment (all<0.01). Compared before treatment, the percentage of non-rapid eye movement period 1/2/3 (N1, N2, N3) and the percentage of rapid eye movement period (REM) to TST were not significantly changed after treatment in the medication group (all>0.05). Compared before treatment, the percentage of N1, N2 to TST was reduced, while the percentage of N3 and REM to TST was increased after treatment in the acupuncture group (<0.01). The SOL, NWAK, WASO, TST, SE were not statistically changed after treatment in each group (all>0.05). Compared with the medication group, the percentage of N1 and N2 was reduced while that of N3 and REM was increased after treatment in the acupuncture group (all<0.01). After treatment, MSL of MSLT were obviously decreased in the two groups (both<0.01), which were more significant in the acupuncture group (<0.05).

CONCLUSIONSAcupuncture can more effectively improve sleep quality of primary insomnia than estazolam, and is more beneficial for regulation of hyperarousal state.

At present, the particularity and importance of ethical consciousness in the teaching of clinical obstetrics and Gynecology has become increasingly prominent while the education of medical students in the ethics and social responsibility is relatively weak. This study explored a series of practical methods under WEIGHT guide through the real cases, conducting clinical training and sides debate, com-bining multimedia and interview form, in order to strengthen the cultivation of medical students' moral quality and improve the students' comprehensive ability.