Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Based on the theory of qi， blood and fluids， and taking into account of the pathogenesis evolution process from constraint to phlegm， stasis and then mass in pulmonary nodules， an attempt has been made to construct a three-dimensional differentiation system for pulmonary nodules from the dimensions of time and space. The temporal progression of the early， middle， and late stages of pulmonary nodules reflects the pathological changes from constraint to phlegm and then stasis in the metabolism disorders of qi， blood and fluid. The spatial structures such as size， density， and morphology of pulmonary nodules reflect the pathological states of the duration， severity， and primary and secondary conditions of qi， blood and fluid metabolism disorders. Based on the temporal progression， the therapeutic principles have been proposed， which are dispelling pathogenic factors and promoting the use of beneficial factors to interrupt the growth momentum in the early stage， removing turbidity and dispersing phlegm to reduce the degree of nodules in the middle stage， and dispersing nodulation and eliminating abnormalities in the late stage. Based on the spatial structures， the suggested therapeutic methods are using wind herbs， employing multiple approaches to treat phlegm， and promoting blood circulation to resolve stasis， so as to provide theoretical reference for the systematic diagnosis and treatment of pulmonary nodules in traditional Chinese medicine.

ObjectiveTo investigate the levels of serum antibodies against novel coronavirus （SARS-CoV-2） in healthcare workers after one month of natural infection， to explore the influencing factors and their correlations with the levels of antibodies， and to provide reference for strengthening the protection of healthcare workers and preventive intervention in Pudong New Area in Shanghai. MethodsVenous blood samples were collected from 1 102 medical staff in Pudong hospitals one month after infection. The serum levels of new coronavirus specific antibodies IgM， IgG and neutralizing antibodies were detected by chemiluminescent immunoassay. The information of gender， age， position， infection severity， vaccination， basic diseases and use of immunosuppressants were obtained by questionnaire to explore the influencing factors and their correlation with the antibody level. ResultsOne month after natural infection， 99.00% （1 091/1 102） of the subjects were found to be positive for IgG antibody against the new coronavirus， 17.79% （196/1 102） of the subjects were IgM antibody positive， and 99.00% （1 091/1 102） of the samples were positive for the neutralizing antibody. The level of antibody might be influenced by the severity of infection， the time of the last dose of vaccination， and the long-term use of immunosuppressants. The more severe the disease， the stronger the neutralizing antibody response. The antibody level in the people who received the final dose of vaccine within 6 months was higher than that of the people who received the vaccine 6 months ago， and the difference was statistically significant. The antibody levels were low in the subjects who received long-term immunosuppressants. ConclusionThe specific IgM， IgG and neutralizing antibody were found， one month after infection， in the medical workers in Pudong New Area， Shanghai， and the antibody titers were high， which had a good protective effect. The antibody level of the people who were vaccinated within 6 months was higher， it is recommended that people who receive the last vacination more than 6 months should be re-vaccinated with the booster vaccine， to improve the autoimmunity against the novel coronavirus.

Objective To explore the differences in scapular motion and shoulder function between patients suffering from rotator cuff tears(RCT)with and without type Ⅲ scapular dyskinesis(SD).Meth-ods Between September 2021 and March 2023,sixteen patients suffering from rotator cuff tears with SD(SD group)and 17 counterparts without SD(non-SD group)were recruited from the Sports Hospital of the General Administration of Sport of China.Their scapular motion was assessed by measuring three parameters in the X-rays,including scapular spine line(LSS),scapular upward rotation angle(SU-RA),and coracoid upward shift distance(CUSD).Moreover,their shoulder range of motion in flexion,abduction and external rotation were recorded,and further evaluated using the Pain Visual Analog Scale(VAS)and American Shoulder and Elbow Surgeons Score(ASES).Results No significant differenc-es were found between the two groups in the average score of SURA,CUSD and LSS at 0°～30° shoul-der abduction,or in that of CUSD and LSS at 60°～90°shoulder abduction.However,the average SU-RA score of the SD group at 60°～90°shoulder abduction was significantly greater than the other group(P<0.05).The shoulder ranges of motion during active flexion,abduction and external rotation were significantly smaller in the SD group than in the non-SD group(P<0.05).Moreover,the average VAS score in the SD group was significantly higher than the non-SD group(P<0.05),while the average ASES score was significantly lower than the latter group(P<0.05).Conclusions RCT patients type III SD exhibits greater scapular upward rotation during shoulder abduction compared to those without SD.Moreover,the former patients suffer from more severe pain and have worse shoulder range of motion and functional performance than the latter.

Pulmonary nodule is a key window for moving ahead the diagnosis and treatment of lung cancer. Traditional Chinese medicine （TCM） can delay the transformation of lung nodules into lung cancer， improve the prognosis of patients， effectively fill the treatment gap during the follow-up period of pulmonary nodules， and has been applied it in the whole cycle and multi-dimensional management of pulmonary nodules. This paper discussed the construction ideas and feasible paths of the whole process management diagnosis and treatment system of pulmonary nodules in TCM， proposed the diagnosis and treatment database of TCM for pulmonary nodules based on the social module of “family-community-hospital”. Through artificial intelligence， we can develop， improve and promote the multi-level and multi-modal “disease-symptom combination” risk prediction model and effectiveness evaluation system of pulmonary nodules. At the same time， the biological connotation of the prevention and treatment of pulmonary nodules by TCM is excavated， which provided empirical evidence for the construction of TCM diagnosis and treatment system， in order to further improve the quality and diagnosis and treatment level of the whole course management of pulmonary nodules.

Background The community is the main place for people's daily activities. A livable environment will improve the subjective well-being of residents. Objective To understand the current status of subjective well-being of residents in Pudong, Shanghai, and explore the impact of community environmental factors on residents' subjective well-being. Methods Using quota sampling, 6000 permanent residents from 12 sub-districts or towns in Pudong, Shanghai were selected to participate in an questionnaire survey. The questionnaire included three parts: participants' basic information, community environmental factors (neighborhood aesthetics, fitness environment, public service and security, natural environment), and subjective well-being. Using a multiple regression model, the influence of community environmental factors on the subjective well-being of residents was analyzed. Results A total of 5887 questionnaires were recovered, and the valid recovery rate was 98.1%. The subjective well-being score of the survey respondents was (7.03±1.61) points. There was no statistical difference in the subjective well-being score of study subjects of different gender and marital status groups; while those with different ages, education levels, occupations, and self-evaluated economic status showed statistical differences in their subjective well-being score (P<0.05). The multiple logistic regression analysis results showed that after controlling general demographic characteristics, with the low level as the control group (according predetermined cut-off values of 33.3% and 66.7%, the community environmental factors were divided into high-, medium-, and low-level groups), the OR values of subjective well-being of the high- and medium-level neighborhood aesthetics groups were 1.393 (95%CI: 1.173-1.654) and 1.235 (95%CI: 1.080-1.412); the OR values of the high- and medium-level fitness environment groups were 2.297 (95%CI: 1.929-2.734) and 1.349 (95%CI: 1.166-1.560); the OR values of the high- and medium-level public service and security groups were 1.101 (95%CI: 0.943-1.285) and 1.039 (95%CI: 0.905-1.193); the OR values of the high- and medium-level natural environment groups were 4.248 (95%CI: 3.321-5.434) and 1.652 (95%CI: 1.374-1.986), respectively. Conclusion Community environment factors could affect residents' subjective well-being, and good neighborhood aesthetics, fitness environment, natural environment have positive effects.

Background The health and safety climate of workplace has an important impact on the physical and mental health of workers. There is no available scale for the evaluation of workplace health and safety climate in China at present. Objective This study aims to sinicize and evaluate the reliability and validity of the Health and Safety Climate Survey. Methods The English version of Health and Safety Climate Survey was translated to Chinese and back-translated to English, and followed by expert evaluation to develop a Chinese version. Quota sampling method was used to select 2600 employees from 16 enterprises and public institutions in Pudong New Area of Shanghai and to evaluate the reliability and validity of the Chinese version of the scale. Structural validity, convergent validity, and discriminant validity were included in validity evaluation. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test structural validity. In EFA, an acceptable factor loading of items on their respective dimensions was > 0.60. In CFA, an acceptable root mean square error of approximation (RMSEA), a standard absolute fitness index, was < 0.05. Comparative fit index (CFI) and parsimony-adjusted non-normed fit index (PNFI), measures of incremental improvement and fit, > 0.90 indicated a good fit. Convergent validity was evaluated by average variance extracted (AVE), and an AVE > 0.50 indicated good convergent validity. Discriminant validity was determined as good by the square root of AVE greater than the correlation coefficient between latent variables. Cronbach’s α coefficient was used to evaluate the internal consistency of the scale; the internal consistency considered was very good with an α > 0.90. Cronbach’s α coefficient may cause underestimation of reliability in the case of error correlation. Therefore, composite reliability (CR) calculated based on structural equation model >0.70 indicated that the CR was good. Results The response rate was 95.69%. The Chinese version of Health and Safety Climate Survey included 22 items belonging to six dimensions which was extracted by the EFA, and the cumulative variance contribution rate was 74.79%. The corrected RMSEA was 0.045, the PNFI was 0.970, and the CFI was 0.975 in the CFA, indicating good fit. The dimensional AVE values were all greater than 0.50, indicating good CV. The square root of AVE was greater than the correlation coefficient between latent variables, indicating good DV. The Cronbach’s α was 0.90 for the total scale and were above 0.70 for all dimensions. The CR was 0.93 for the total scale and were above 0.70 for all dimensions, indicating that the overall reliability of the scale was good. Conclusion The Chinese version of Health and Safety Climate Survey has good reliability and validity, and can be further improved in field application.

Objective To investigate correlative analysis between plasma BNP,CRP levels and computed tomographic manifestations in acute moderate or severe traumatic brain injury.Methods According to the severe traumatic brain injury and mild traumatic brain injury criteria that onset within 24h,patients were devided into the observation group A (73 cases with moderate or severe traumatic brain injury)and observation group B(20 cases with mild traumatic brain injury ).All patients received CT scan,CT image characteristics and Rotterdam CT grading were recorded.,Plasma BNP and CRP levels were detected at the same time,healthy persons with matched age and gender within same period were selected (control group),relationships of plasma BNP and CRP levels with CT manifestations were analyzed.Results Plasma BNP and CRP levels of the observation group were obviously higher than those of the control group (P <0.05).In patients with midline shift >5mm,ventricular pressure≤0.2,Rotterdam CT score >3, the BNP and CRP levels were higher than the corresponding patnents (P <0.05).Patients with high levels of BNP and CRP showed higher midline shift score,Rotterdam CT score and the higher incidence of subarachnoid hemorrhage (P <0.05),and ventricle compression ratio and GSC score less than the low level group (P <0.05 ).Spearman correlation analysis showed that Rotterdam CT score was positively correlated with and plasma BNP and CRP levels (P <0.05),multi -factor Logistic regression analysis showed that plasma BNP levels (OR =1.873,P <0.05),the CRP (OR =1.568,P <0.05)were an independent predictor of Rotterdam CT score >3 points.Conclusion Plasma BNP and CRP levels of patients with acute moderate or severe traumatic brain injury are closely related to various characteristics of CT,and are independent predictors of Rotterdam CT scores,they can be used as a biological marker assisting to evaluate degree of severe craniocerebral injury patients.