Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective To form the expert consensus on the limb management of patients with transvenous temporary cardiac pacing,standardize the limb management of patients with transvenous temporary cardiac pacing,and reduce complications related to the limb.Methods Using evidence-based methods,the evidence in this field was searched,evaluated and summarized,and relevant recommendations and research conclusions were extracted and classified by the level of evidence quality,and then the first draft of the consensus was formed.From December 2023 to January 2024,through 2 rounds of expert consultation and 4 rounds of expert meetings,the content was adjusted and the consensus was reached.Results Totally 16 experts participated in the consultation.The positive coefficient is 100%;the authoritative coefficient is 0.847 and 0.836;the average value of each index is more than＞3.8;the coefficient of variation is less than 0.21.The Kendall's harmony coefficient of the 2 rounds of expert consultation is 0.372 and 0.314,respectively,which were statistically significant.The consensus covers the preoperative,intraoperative and postoperative on limb management of patients with transvenous temporary cardiac pacing.Totally 11 themes were involved,including the preoperative preparation,position and catheter fixation in operation,position and catheter fixation in postoperative,activity,turn and transfer,duty shift on limb,nursing care after withdrawal of the catheter,prevention of deep vein thrombosis of the operative limb and prevent infection.Conclusion The consensus is highly scientific,and it is helpful to standardize the limb management of patients with transvenous temporary cardiac pacing.

The irrational use of Chinese patent medicines （CPM） is becoming more and more prominent， which makes the demand for clinical practice guidelines of CPM gradually increase. In order to make domestic scholars understand the latest developments and existing problems of the CPM guidelines， and promote its development， this paper introduced the concept of CPM guidelines， summarized the characteristics of the two development modes， namely “taking CPM as the key” and “taking disease/syndrome as the key”， and analyzed the current methodological status of developing and reporting CPM guidelines. Based on the existed problems， three suggestions have been put forward to optimize the quality of CPM guidelines， which were clarifying the target users and scope of CPM guidelines， establishing an open and transparent mechanism of the personnel involvement and process steps， and formulating implementable and operable recommendations for the use of CPM.

ObjectiveTo understand the health information needs of chronic disease inpatients and the current utilization of community health resources， and to analyze the influencing factors， so as to provide basis for personalized and high-quality health education for chronic disease inpatients and to guide them to make full use of community health resources. MethodsFrom November 2020 to February 2021， we conducted a face-to-face multi-center clinical epidemiological survey with paper questionnaire in three general hospitals of Shanghai. The study included 404 inpatients with diabetes， hypertension， coronary heart disease， chronic respiratory diseases， cancer and other chronic diseases. Results94.01% of the 404 respondents had different needs for disease or health related information， and there was no significant difference between patients of different ages， genders and educational backgrounds in their needs for health knowledge. Among these patients， only 39.11% of them participated in the establishment of a card for chronic disease management in the community or signed for a family doctor. The participation rate of male patients was lower than that of female patients （P<0.05）. ConclusionPatients with chronic diseases have a high demand for health related information， and we need to provide health information in multiple ways. We should increase investment in community health resources， improve service quality， and guide residents with chronic diseases to make full use of community health resources.

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

Polyurethane (PUR) plastics is widely used because of its unique physical and chemical properties. However, unreasonable disposal of the vast amount of used PUR plastics has caused serious environmental pollution. The efficient degradation and utilization of used PUR plastics by means of microorganisms has become one of the current research hotspots, and efficient PUR degrading microbes are the key to the biological treatment of PUR plastics. In this study, an Impranil DLN-degrading bacteria G-11 was isolated from used PUR plastic samples collected from landfill, and its PUR-degrading characteristics were studied. Strain G-11 was identified as Amycolatopsis sp. through 16S rRNA gene sequence alignment. PUR degradation experiment showed that the weight loss rate of the commercial PUR plastics upon treatment of strain G-11 was 4.67%. Scanning electron microscope (SEM) showed that the surface structure of G-11-treated PUR plastics was destroyed with an eroded morphology. Contact angle and thermogravimetry analysis (TGA) showed that the hydrophilicity of PUR plastics increased along with decreased thermal stability upon treatment by strain G-11, which were consistent with the weight loss and morphological observation. These results indicated that strain G-11 isolated from landfill has potential application in biodegradation of waste PUR plastics.
Plastics/metabolism* ; Polyurethanes/chemistry* ; RNA, Ribosomal, 16S ; Bacteria/genetics* ; Biodegradation, Environmental

Objective:To investigate the diagnostic value of a single hydrogen-methane breath test (SHMBT) for small intestinal bacterial overgrowth (SIBO).Method:The current investigation was a cross-sectional study. Questionnaires and SHMBTs were administered to 162 patients with gastrointestinal symptoms (case group) and 69 healthy volunteers (control group). Differences in SHMBT results between the two groups were assessed,and cut-off values of CH 4 (methane) and H 2 (hydrogen) were analyzed via receiver operating characteristic (ROC) curves. Lastly,archived SHMBT data from 2 655 patients with gastrointestinal symptoms (validation set) were used to evaluate the diagnostic value of the SHMBT with respect to SIBO. The Chi-square test,the Mann-Whitney U test,Spearman′s Rank correlation analysis,and the Z test were used for statistical analysis. Results:Based on the international recommended diagnostic criteria for SIBO,which are fasting CH 4 ≥10 ppm (parts per million) or H 2 ≥20 ppm,the SHMBT-positive rate in the case group was significantly higher than that of control group (35.2% vs. 21.7%, χ2=4.08, P=0.043). Levels of CH 4 and H 2 were higher in the case group than in the control group [CH 4: 3(2,7) vs. 3(1,3) ppm, H 2: 11(4,22) vs. 10(5,15) ppm],and the difference in CH 4 levels was statistically significant ( Z=6.22, P=0.001). ROC curves were generated based on whether the subjects had gastrointestinal symptoms. The areas under the ROC curves were 0.633 for CH 4 alone,0.531 for H 2 alone, and 0.620 for CH 4 combined with H 2. The cut-off values were fasting CH 4≥4 ppm,fasting H 2≥13 ppm,and fasting CH 4 ≥5 ppm (or CH 4≥4 ppm and H 2≥24 ppm),respectively. Measuring CH 4 alone and CH 4 combined with H 2 was effective for determining the presence of gastrointestinal symptoms ( P<0.05). When CH 4 alone or CH 4 combined with H 2 were used as diagnostic indicators of SIBO, the respective SHMBT-positive rates in the validation set were 34.2% and 30.4%. These rates did not significantly differ from the SIBO-positive rate of 32.0% obtained via the international recommended diagnostic criteria ( P>0.05). The specificity of CH 4 alone was 79.9%,and the accuracy of CH 4 alone was 68.8%. The specificity of CH 4 combined with H 2 was 85.0%,and the accuracy of CH 4 combined with H 2 was 71.7%. Conclusion:Rapid one-time determination of CH 4 and H 2 in exhaled breath may a viable diagnostic method for SIBO, and using CH 4 combined with H 2 ( i.e.,fasting CH 4≥5 ppm, or CH 4 ≥4 ppm and H 2 ≥24 ppm) as cutoff values may be feasible.

Objective:To evaluate the effect of resveratrol combined with γ-ray irradiation on the biological behavior of cervical cancer cells, and to explore its possible mechanism.Methods:The proliferation of cell populations after different concentrations of resveratrol solution±γ-ray irradiation was detected by CCK-8 assay. Scratch test and Transwell chamber test were used to detect cell migration and invasion. Flow cytometry and Annexin V-FITC/PI double staining were employed to assess cell apoptosis. Western blot was performed to measure the expression levels of PI3K, Akt, p-Akt, mTOR and p-mTOR proteins.Results:Compared with the normal control (NC) group, the resveratrol group±γ-ray irradiation could inhibit the proliferation, migration, and invasion and promote cell apoptosis of human cervical cancer Hela cells, and the combined effect was more obvious. Compared with the NC group, resveratrol and γ-ray irradiation could significantly down-regulate the expression levels of Bcl-2, PI3K, p-Akt and p-mTOR proteins, up-regulate the expression level of Bax protein, but did not significantly alter the expression levels of Akt and mTOR proteins in human cervic1 255al cancer Hela cells.Conclusions:Resveratrol combined with γ-ray irradiation can dramatically inhibit the proliferation, migration, invasion, and promote the apoptosis of cervical cancer Hela cells. The mechanism may be related to the inhibition of the PI3K/Akt/mTOR signaling pathway and down-regulating the expression levels of downstream related proteins.

Objective:To investigate the clinicopathological features, diagnosis and differential diagnosis of notochordal tumors.Methods:The clinical, radiologic and pathologic data of 48 notochordal tumors were collected from 2008 to 2019 at Shanghai Jiaotong University Sixth People′s Hospital. Expression of cytokertin, S-100 protein, vimentin, brachyury and INI1 was detected by immunohistochemistry. The pathologic differential diagnoses and biologic behavior of various types of notochordal tumors were analyzed using the new standard in the 5th edition of WHO tumor classification.Results:Four cases of benign notochordal cell tumor were confined to vertebral body. Histopathologically, they lacked lobular architecture and extracellular myxoid matrix. The tumor cells were vacuolated and had centrally or peripherally located round to oval nuclei, with small nucleoli, without atypia, mimicking mature adipocytes. No mitotic figures were seen. Two cases of poorly differentiated chordoma, from patients aged 12 years and 21 years respectively, were located in cervical vertebra, and were composed of cohesive sheets or nests of epithelioid cells, with focal rhabdoid morphology. There was relatively abundant eosinophilic cytoplasm and scattered cytoplasmic vacuoles. The moderately pleomorphic nuclei were round to ovoid with vesicular chromatin and mitotic figures could be seen. Extracellular myxoid stroma was observed focally. Forty cases of conventional chordoma and two cases of extra-axis chordoma had similar histologic features. All 48 cases expressed cytokeretin, 45 cases expressed brachyury, and two poorly differentiated tumors showed loss of INI1/SMARCB1.Conclusions:There are four subtypes of chordomas: conventional, dedifferentiated, poorly differentiated and extra-axis. Chondroid chordoma is no longer thought to be a distinct entity. Each type has its unique clinicopathological characteristics. Brachyury is highly specific and sensitive for the diagnosis of various notochordal tumors. Poorly differentiated chordoma shows distinct clinicopathological features, including young age and loss of immunohistochemical expression of INI1/SMARCB1, and its diagnosis requires the combined detection of brachyury and INI1/SMARCB1.

Objective: To analyze the association between polycyclic aromatic hydrocarbons(PAHs)exposure and rheumatoid arthritis(RA)based on large sample data. Methods: The RA patients(RA group)and non-RA patients(non-RA group)with complete data were selected from the National Health and Nutrition Survey Database in the United States(NHANES)(2005—2014). The logistic regression model was used to analyze the association between 8 monohydroxylated(OH-)PAH metabolites in the urine and RA. Results: A total of 357 RA patients and 5, 256 non-RA participants were included.After adjusting the confounding factors by logistic analysis, the level of OH-PAHs mixture at the highest quartile(Q4)was associated with increased risk of RA compared with that at the lowest quartile(Q1)(OR=1.60, 95%CI: 1.16-2.23). For a single kind of OH-PAHs, the Q4 levels of 1-hydroxynaphthalene(OR=1.59, 95%CI: 1.14-2.23), 2-hydroxynaphthalene(OR=1.66, 95%CI: 1.19-2.32), 2-hydroxyfluorene(OR=1.61, 95%CI: 1.17-2.22), 3-hydroxyfluorene(OR=1.64, 95%CI: 1.18-2.27)and 1-hydroxyphenanthrene(OR=1.38, 95%CI: 1.00-1.94)were all associated with significantly increased risk of RA compared with the Q1 level(all P<0.05). However, the Q2 level of 1-hydroxypyrene(OR=0.60, 95%CI: 0.43-0.83)was related to a decreased incidence of RA(P<0.01). Conclusions OH-PAHs mixed exposure is a risk factor for RA.The association between the level of individual OH-PAH and the rate of RA is bidirectional and is depended on the type and concentration of OH-PAHs.