Objective:To develop a robotic digestive endoscope system (RDES) and to evaluate its feasibility, safety and control performance by experiments.Methods:The RDES was designed based on the master-slave control system, which consisted of 3 parts: the integrated endoscope, including a knob and button robotic control system integrated with a gastroscope; the robotic mechanical arm system, including the base and arm, as well as the endoscopic advance-retreat control device (force-feedback function was designed) and the endoscopic axial rotation control device; the control console, including a master manipulator and an image monitor. The operator sit far away from the endoscope and controlled the master manipulator to bend the end of the endoscope and to control advance, retract and rotation of the endoscope. The air supply, water supply, suction, figure fixing and motion scaling switching was realized by pressing buttons on the master manipulator. In the endoscopy experiments performed on live pigs, 5 physicians each were in the beginner and advanced groups. Each operator operated RDES and traditional endoscope (2 weeks interval) to perform porcine gastroscopy 6 times, comparing the examination time. In the experiment of endoscopic circle drawing on the inner wall of the simulated stomach model, each operator in the two groups operated RDES 1∶1 motion scaling, 5∶1 motion scaling and ordinary endoscope to complete endoscopic circle drawing 6 times, comparing the completion time, accuracy (i.e. trajectory deviation) and workload.Results:RDES was operated normally with good force feedback function. All porcine in vivo gastroscopies were successful, without mucosal injury, bleeding or perforation. In beginner and advanced groups, the examination time of both RDES and ordinary endoscopy tended to decrease as the number of operations increased, but the decrease in time was greater for operating RDES than for operating ordinary endoscope (beginner group P=0.033; advanced group P=0.023). In the beginner group, the operators operating RDES with 1∶1 motion scaling or 5∶1 motion scaling to complete endoscopic circle drawing had shorter completion time [1.68 (1.40, 2.17) min, 1.73 (1.47, 2.37) min VS 4.13 (2.27, 5.16) min, H=32.506, P<0.001], better trajectory deviation (0.50±0.11 mm, 0.46±0.11 mm VS 0.82±0.26 mm, F=38.999, P<0.001], and less workload [42.00 (30.00, 50.33) points, 43.33 (35.33, 54.00) points VS 52.67 (48.67, 63.33) points, H=20.056, P<0.001] than operating ordinary endoscope. In the advanced group, the operators operating RDES with 1∶1 or 5∶1 motion scaling to complete endoscopic circle drawing had longer completion time than operating ordinary endoscope [1.72 (1.37, 2.53) min, 1.57 (1.25, 2.58) min VS 1.15 (0.86, 1.58) min, H=13.233, P=0.001], but trajectory deviation [0.47 (0.13, 0.57) mm, 0.44 (0.39, 0.58) mm VS 0.52 (0.42, 0.59) mm, H=3.202, P=0.202] and workload (44.62±21.77 points, 41.24±12.57 points VS 44.71±17.92 points, F=0.369, P=0.693) were not different from those of the ordinary endoscope. Conclusion:The RDES enables remote control, greatly reducing the endoscopists' workload. Additionally, it gives full play to the cooperative motion function of the large and small endoscopic knobs, making the control more flexible. Finally, it increases motion scaling switching function to make the control of endoscope more flexible and more accurate. It is also easy for beginners to learn and master, and can shorten the training period. So it can provide the possibility of remote endoscopic control and fully automated robotic endoscope.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

The anti-inflammatory efficacy of Callicarpa nudiflora extract were evaluated upon lipopolysaccharide (LPS)-induced infective inflammation in rats. Pathological changes of lung and colon tissues observed with hematoxylin-eosin (H&E) staining, together with inflammatory factors in serum, including nitric oxide (NO), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), were applied to assess the mitigating effects of C. nudiflora water extract on model rats. The experimental protocol strictly adhered to the guidelines of the Ethics Committee of Animal Research of Guangdong Pharmaceutical University (Approval: gdpulac2022132). Quality markers with anti-inflammatory activities were recognized by network pharmacology analysis. Subsequently, a reliable method for simultaneously quantifying six components was established. As a result, the pathological injury on lung and colon tissues of model rats induced by LPS were improved by C. nudiflora water extract. Compared with model group, C. nudiflora extract had decreased the release of proinflammatory factors in serum, including TNF-α and IL-6, and reduced the NO (P < 0.01). Network pharmacological analysis obtained 83 chemical components, 466 component targets, 584 disease targets and 129 action targets, which were mainly concentrated in 624 biological processes such as inflammatory response and positive regulation of nitric oxide biosynthesis, as well as 162 pathways such as phosphatidylinositol-3-hydroxykinase-protein kinase (PI3K-Akt) signal pathway and Janus kinase-signal transducer and activator of transcription 3 (JAK-STAT3) signal pathway. Upon analyzing their specificity, effectiveness, detectability, and quantity transfer rule from herb to extract, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as the quality markers. Their anti-inflammatory activities were verified with LPS-induced inflammation model of RAW264.7 cells. Then contents of these 6 quality markers in 16 batches of C. nudiflora were determined. Thereby, the anti-inflammatory efficacy of C. nudiflora extract were confirmed in vivo, 6-hydroxyluteolin 7-glucoside, cynaroside, caffeic acid, acteoside, isoacteoside, and forsythoaside B were identified as anti-inflammatory ingredients, which can be used as quality control indicators for the herb and related formulation.

Objective To explore the clinical features of occupational pneumoconiosis (hereinafter referred to as “pneumoconiosis”) complicated with interstitial lung disease (ILD). Methods A total of 56 patients with pneumoconiosis complicated with ILD were selected as the research subjects using a retrospective study method, and their clinical features were analyzed. Results The main clinical symptoms of the 56 patients were progressive dyspnea, cough, and expectoration, with detection rates of 76.8%, 75.0%, and 55.4%, respectively. The detection rates of hypoxemia and respiratory failure were 67.9% and 32.1% respectively. Among the 35 patients who underwent pulmonary function test, restrictive, mixed, and obstructive ventilatory disorders were detected in 37.1%, 22.9%, and 17.1% of cases, respectively, with a 74.3% detection rate for reduced diffusion capacity. High resolution computed tomography of the chest revealed ground-glass shadows, grid shadow, interlobular thickening, honeycomb shadows and tractive bronchiectasis, with detection rates of 57.1%, 35.7%, 35.7%, 23.2%, and 17.9%, respectively. Lesions were mostly diffusely distributed in both lungs, with a predominance in the lower lungs compared to the mid-upper lungs. Patients complicated with connective tissue disease, including systemic sclerosis, rheumatoid arthritis, systemic lupus erythematosus, polymyositis, and dermatomyositis, accounted for 33.9% (19 cases). Conclusion The clinical symptoms, pulmonary function, and arterial blood gas analysis results of patients with pneumoconiosis complicated with ILD show no specific features. However, a subset of pneumoconiosis patients with ILD also have coexisting connective tissue diseases.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Objective To investigate the effect of parent-child alienation on depression in surface ship officers and soldiers based on the theory of"diathesis-stress",and the mediating role of resilience between parent-child alienation and depression in them.Methods A cross-sectional study was conducted on 599 officers and soldiers from a surface ship unit.The participants were surveyed with inventory of alienation toward parents,connor-davidson resilience scale and patient health questionnaire-9 to obtain and analyze their demographic-military characteristics of their depression scores.The participants with depression scores ≥5 were recruited as the subjects,and Spearman correlation analysis was used to explore the correlation among parent-child alienation,resilience and depression.On the basis of hierarchical regression analysis,AMOS software was used to establish a structural equation modelling of intermediary effects.Results The depression score was 1(0,4)in the participants,and the depression scores of those with service length ≥11 years were comparatively higher than those with shorter length.Our results indicated that parent-child alienation was positive correlated with depression(r=0.451,P＜0.001),while resilience was negatively correlated with depression and parent-child alienation(r=-0.412,-0.407,P＜0.001).Regression analysis revealed that parent-child alienation had a direct positive predictive value for depression(β=0.574,P＜0.001),and resilience showed a negative predictive value for depression(β=-0.211,P＜0.01).Model analysis displayed that resilience had a significant mediating role in the effect of parent-child alienation on depression among these surface ship officers and soldiers,with an effect value of 0.088,and accounting for 15.86％of the total effect.Conclusion Parent-child alienation has a significant influence on depression among surface ship officers and soldiers,with resilience playing a partial mediating role.

In accordance with the theory of'treating the skin diseases with the skin',skin-related Chinese medicinals are usually used for the treatment of skin diseases,which reflects the thinking mode of holistic syndrome differentiation and classification according to the manifestations in traditional Chinese medicine.With ying-yang theory as the principle of differentiation and treatment of diseases and based on the core pathogenesis of'yin-yang imbalance causing the manifestations of the skin'for the skin diseases,Chinese medical master XU AN Guo-Wei has used skin-related Chinese medicinals in the treatment of skin diseases and has given full play to their unique advantage by following the theory of'treating the skin diseases with the skin'and'balanced regulation of yin and yang'.In the clinical practice,allergic skin diseases were usually treated with Cicadae Periostracum plus Dictamni Cortex for dispelling wind and relieving itching,hypopigmentation related skin diseases were usually treated with Sojae Semen Nigrum skin plus Dictamni Cortex for dispelling wind and tonifying kidney,autoimmune skin diseases were usually treated with Moutan Cortex plus Lycii Cortex for nourishing yin,clearing heat and activating blood,and skin diseases associated with abnormal sebum secretion were usually treated with Mori Cortex plus Lycii Cortex for purging lung and nourishing kidney.Skin-related Chinese medicinals have the actions of expelling wind and promoting eruption of papules,tonifying kidney and nourishing yin.The medication method of'treating the skin diseases with the skin'will provide reference for the treatment of skin diseases.

Objective To explore the clinical value of vaginoscopy in the diagnosis and treatment of uterine cavity diseases in virgins.Methods We retrospectively reviewed the data of 450 patients who underwent vaginoscopy and traditional hysteroscopy in Obstetrics and Gynecology Hospital,Fudan University from Jan 2020 to Dec 2023,including vaginoscopy group(n=232)and traditional hysteroscopy group(n=218).The average ages of the two groups were 24.9±4.7 years and 25.5±5.4 years,and there was no significant difference between the two groups(P>0.05).The operation time,estimated blood loss,fluid deficit,false passage,surgical failure,incidence of complications and postoperative pain score were compared between vaginoscopy group and traditional hysteroscopy group.Results Compared with the traditional hysteroscopy group,the average operation time in the vaginoscopy group was shorter,the fluid deficit was less,and the VAS pain score was lower,but the rate of surgical failure was higher(7.8%vs.0),all the differences were statistically significant(P<0.05).In terms of complications,the incidence of false passage in the vaginoscopy group was less(0 vs.3.2%)and the rate of hymen injury was lower(0 vs.85.3%),the differences were statistically significant(P<0.05).There was no significant difference in the estimated blood loss between the two groups,and the incidence of postoperative infection was similar in both groups.There were no complications such as uterine perforation and air embolism in both groups.Conclusion Vaginoscopy is safe and effective,more minimally invasive than traditional hysteroscopy,does not damage the hymen,and is suitable for virgins.This technology is worthy of clinical application.