Background Coal workers' pneumoconiosis is a serious occupational disease in China. Exhaled volatile organic compounds (VOCs) can serve as the "breath fingerprint" of internal pathological processes, which provides a theoretical basis for exhaled VOCs to be used as potential non-invasive biomarkers for early diagnosis of coal workers' pneumoconiosis. Objective To screen out the characteristic VOCs and important characteristic VOCs of exhaled air in patients with coal workers' pneumoconiosis, and to explore the potential of these VOCs as biomarkers for early non-invasive diagnosis of the disease. Methods In this study, 27 VOCs in the exhaled breath of 22 patients with stage I coal workers' pneumoconiosis, 77 workers exposed to dust, and 92 healthy controls were quantitatively detected by thermal desorption gas chromatography-mass spectrometry (TD-GC-MS). Substances with P<0.05 in univariate analysis and variable importance projection (VIP) >1 in supervised orthogonal partial least squares discriminant analysis (OPLS-DA) model were selected as the characteristic VOCs for early diagnosis of coal workers' pneumoconiosis. Age was included in the LASSO regression model as a covariate to screen out important characteristic VOCs, and the diagnostic performance was evaluated by receiver operating characteristic (ROC) curve. Spearman correlation was further used to explore the correlation between important characteristic VOCs and clinical lung function indicators. Results Through univariate analysis and OPLS-DA modeling, 8 VOCs were selected, including 2-methylpentane, 3-methylpentane, n-hexane, methylcyclopentane, n-heptane, methylcyclohexane, 4-methyl-2-pentanone, and 2-hexanone, in exhaled breath of patients with coal workers' pneumoconiosis. The concentrations of 4 VOCs, including 3-methylpentane, n-hexane, 4-methyl-2-pentanone, and 2-hexanone, showed a decreasing trend with the increase of dust exposure years. By LASSO regression, the important characteristic VOCs of the coal workers' pneumoconiosis group and the dust exposure group were n-hexane, methylcyclohexane and 4-methyl-2-pentanone, and the important characteristic VOCs of the coal workers' pneumoconiosis group and the healthy group were 2-methyl-pentane and 4-methyl-2-pentanone. The ROC analysis showed that the area under the curve (AUC) of n-hexane, methylcyclohexane, and 4-methyl-2-pentanone were 0.969, 0.909, and 0.956, respectively, and the AUC of combined diagnosis was 0.988 and its Youden index was 0.961, suggesting that these results can serve as a valuable reference for further research on early diagnosis. The Correlation analysis found that there was a positive correlation between n-hexane and lung function indicators in the important characteristic VOCs, indicating that it could indirectly reflect the obstruction of lung function ventilation, further proving that important characteristic VOCs have the potential to monitor lung function decline. Conclusion Three important characteristic VOCs selected in this study have the potential to be used as non-invasive biomarkers for early diagnosis and disease monitoring of coal workers' pneumoconiosis, and are worthy of further study and verification.

Objective To investigate the association between Helicobacter pylori infection and nonalcoholic fatty liver disease(NAFLD).Methods This study was conducted acoording to the PRISMA guideline,with a PROSPERO registration number of CRD42023408932.Databases including PubMed,the Cochrane Library,Web of Science,Embase,CBM,Wanfang Data,CNKI,and VIP were searched for related articles published up to June 2023.This study was conducted for the case-control studies,cross-sectional studies,and cohort studies that included clear detection criteria for HP and evaluation criteria for NAFLD and performed the multivariate analysis to investigate the association between HP infection and NAFLD.Odds ratio(OR)and its 95%confidence interval(CI)were selected as the effect measures,and STATA 15.0 software was used to perform the Meta-analysis.Results A total of 33 primary studies were included,with 236 514 subjects in total.The Meta-analysis showed that HP was associated with the high prevalence rate of NAFLD(OR=1.25,95%CI:1.16—1.35,P<0.05,I2=93.7%).Subgroup analysis was conducted in terms of sample size,the diagnostic method for HP,the quality of primary study,the health status of subjects,and the type of primary study,but no clear source of heterogeneity was found.The Meta-regression analysis was conducted with the covariates of sample size,the diagnostic method for HP,the quality of primary study,the health status of subjects,and the type of primary study,and the results showed that the health status of subjects and the type of primary study might be the sources of heterogeneity.Sensitivity analysis showed that the overall results were stable,and funnel plots and the Egger test showed no significant publication bias.Conclusion HP is associated with the high prevalence rate of NAFLD in the general population,and large-scale prospective cohort studies are still needed to specifically and comprehensively evaluate the association between HP and NAFLD.

Objective:To explore the effects of home hospice care team service model in patients with end-stage malignant tumors and main caregivers, so as to provide intervention programs for improving the quality of life of patients with end-stage malignant tumors.Methods:In the prospective and controlled study, 106 patients with malignant tumors who received end-stage hospice care in Yuebei People′s Hospital and main caregivers from May 2021 to July 2021 were selected by convenience sampling method, and divided into trial group (53 pairs) and control group (53 pairs) according to the random number table method. The control group was treated with routine nursing intervention, and the trial group was given home hospice care team service model intervention based on the control group. The occurrence of falls and negative emotions and quality of life of patients, psychological stress of primary caregivers before and after intervention were observed by using Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Relative Stress Scale (RSS) and European Organization for Research and Treatment of Cancer Quality of Life Scale (EORTC QLQ-C30).Results:Finally, 103 patients and main caregivers completed the study, with 52 pairs in the control group and 51 pairs in the trial group. In the control group, the patients were 29 males and 23 females, aged (54.33 ± 12.24) years old,and the main caregivers were 22 males and 30 females, aged (41.67 ± 8.14) years old. In the trial group,the patients were 27 males and 24 females,aged (55.17 ± 10.56) years old,and the main caregivers were 24 males and 27 females, aged (43.62 ± 7.39) years old. After intervention, the total incidence of falls and the total incidence of fall complications in the trial group were 7.84% (4/51) and 1.96% (1/51), respectively, which were lower than 25.00% (13/52) and 11.54% (7/52) in the control group, the differences were statistically significant ( χ2=5.50, 4.75, both P<0.05). There was no significant difference in the score of SAS, SDS, RSS, EORTC QLQ-C30 before intervention between the two groups (all P>0.05). After intervention, the scores of SAS and SDS in trial group were (32.66 ± 3.18), (31.19 ± 4.50) points,which lower than those in control group (34.54 ± 3.91), (34.31 ± 4.03) points, the differences were statistically significant ( t=2.67, 2.51, both P<0.05). After intervention, the RSS scores of psychological distress, life disruption, negative emotion and total score of the main caregivers in trial group were (3.52 ± 0.48), (3.66 ±0.56), (3.47 ± 0.82), (10.65 ± 0.67) points, which were lower than those in the control group (4.74 ± 2.75), (4.67 ± 2.64), (4.12 ± 2.13), (13.53 ± 2.26) points, the differences were statistically significant ( t values were 2.04-8.73, all P<0.05). After intervention, the EORTC QLQ-C30 score in the trial group was (74.14 ± 5.64) points, which was lower than that in the control group (70.54 ± 7.07) points, the difference was statistically significant ( t=2.85, P<0.05). Conclusions:The application of home hospice care team service model can effectively reduce the risk of falls in patients with malignant tumor chemotherapy, improve the negative emotions of patients and the psychological stress state of their main caregivers, and improve the quality of life of patients.

Objective To investigate the association between bone mineral density(BMD)and metabolic associated fatty liver disease(MAFLD)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 300 patients with T2DM were enrolled and divided into T2DM with MAFLD group(n=162)and T2DM without MAFLD group(n=138)according to controlled attenuation parameters(CAP).The bone mineral density(BMD)of the patients was measured by dual energy X-ray absorptiometer.Results Compared with T2DM group,BMI,abdominal circumference(AC),FIns,FC-P,TG,HOMA-IR,ALB,liver stiffness measurement(LSM),CAP and BMD in T2DM+MAFLD group increased(P<0.05),while HDL-C and alkaline phosphatase(ALP)decreased(P<0.01).Spearman correlation analysis showed that the overall BMD of the male lumbar spine was positively correlated with smoking,AC,BMI,CAP,FIns,FC-P,HOMA-IR(P<0.05 or P<0.01),and negatively correlated with ALP(P<0.01).The overall hip BMD was positively correlated with smoking,AC,BMI,CAP,FC-P(P<0.05 or P<0.01).The overall BMD of the female lumbar spine is positively correlated with BMI and CAP(P<0.05 or P<0.01),but negatively correlated with age and ALP(P<0.05 or P<0.01).The overall hip BMD was positively correlated with BMI and CAP(P<0.05),and negatively correlated with age and ALP(P<0.05 or P<0.01).Multiple linear regression analysis shows that CAP is the influencing factor for overall lumbar BMD,while BMI is the influencing factor for overall hip BMD.Conclusions CAP is the influencing factor for overall lumbar BMD,while BMI is the influencing factor for overall hip BMD.

Objective To observe the value of feature pyramid network(FPN)for automatic segmentation and semantic feature classification of spontaneous intracerebral hemorrhage(sICH)hematoma showed on non-contrast CT.Methods Non-contrast CT images of 408 sICH patients in hospital A(training set)and 103 sICH patients in hospital B(validation set)were retrospectively analyzed.Deep learning(DL)segmentation model was constructed based on FPN to segment the hematoma region,and its efficacy was assessed using intersection over union(IoU),Dice similarity coefficient(DSC)and accuracy.Then DL classification model was established to identify the semantic features of sICH hematoma.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of DL classification model for recognizing semantic features of sICH hematoma.Results The IoU,DSC and accuracy of DL segmentation model for 95％sICH hematoma in training set was 0.84±0.07,0.91±0.04 and(88.78±8.04)％,respectively,which was 0.83±0.07,0.91±0.05 and(88.59±7.76)％in validation set,respectively.The AUC of DL classification model for recognizing irregular shape,uneven density,satellite sign,mixed sign and vortex sign of sICH hematoma were 0.946-0.993 and 0.714-0.833 in training set and validation set,respectively.Conclusions FPN could accurately,effectively and automatically segment hematoma of sICH,hence having high efficacy for identifying semantic features of sICH hematoma.

Objective To observe the value of 3D Res2Net deep learning model for predicting volume doubling time(VDT)of solid pulmonary nodule.Methods Chest CT data of 734 patients with solid pulmonary nodules were retrospectively analyzed.The patients were divided into progressive group(n=218)and non-progressive group(n=516)according to whether lung nodule volume increased by ≥25％during follow-up or not,also assigned into training set(n=515)and validation set(n=219)at a ratio of 7∶3.Then a clinical model was constructed based on clinical factors being significantly different between groups,CT features model was constructed based on features of nodules on 2D CT images using convolutional neural network,and 3D Res2Net model was constructed based on Res2Net network using 3D CT images as input.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated.Taken actual VDT as gold standard,the efficacy of the above models for predicting solid pulmonary nodule'VDT≤400 days were evaluated.Results No significant difference of predicting efficacy for solid pulmonary nodule'VDT≤400 days was found among clinical model,CT feature model and 3D Res2Net model,the AUC of which was 0.689,0.698 and 0.734 in training set,0.692,0.714 and 0.721 in validation set,respectively.3D Res2Net model needed 5-7 s to predict VDT of solid pulmonary nodules,with an average time of(5.92±1.08)s.Conclusion 3D Res2Net model could be used to predict VDT of solid pulmonary nodules,which might obviously reduce manual interpreting time.

The Janus kinase (JAK) -signal transducer and activator of transcription (STAT) signaling pathway is closely related to the occurrence of psoriasis. Various cytokines, including interleukin (IL) -23, IL-22, interferon (IFN) -γ, etc., can promote some key pathologic processes (such as the proliferation and abnormal differentiation of keratinocytes, and infiltration of inflammatory cells) via the JAK-STAT pathway in psoriasis, which suggests that targeting JAK-STAT pathway is a new strategy for the treatment of psoriasis. In recent years, small-molecule JAK inhibitors have shown good efficacy and safety in the treatment of psoriasis, and drugs targeting STAT pathway have been under development, which provide more treatment options for psoriasis. This review summarizes progress in drugs targeting the JAK-STAT signaling pathway in the treatment of psoriasis.

OBJECTIVE To investigate the pharmacokinetics and bioavailability of naproxen choline ionic liquid in rats after intragastric administration. METHODS Naproxen choline ionic liquid was given to rats by intragastric administration. Blood samples were collected at different time points after administration. The blood samples were precipitated by methanol and then centrifuged, and then an Extend-C18 column(4.6 mm×250 mm, 5 μm) was used. Methanol(A)-0.3% phosphoric acid aqueous solution(B) (74:26) was used as the mobile phase, the flow rate was 0.8 mL·min-1, and the detection wavelength was 230 nm. Indomethacin and naproxen were used as internal standard and tested object in determination of naproxen choline ionic liquid in rat plasma. Pharmacokinetic parameters were calculated using DAS 2.0 software. RESULTS After intragastric administration of naproxen suspension to rats, its t1/2α was 5.12 h, t1/2β was 10.13 h, Tmaxwas 2 h, Cmax was 112.92 mg·L-1, and AUC(0-t) was 1 091.01 mg·L-1·h. After intragastric administration of naproxen choline, its t1/2α was 5.64 h, t1/2β was 69.32 h, Tmax was 1 h, Cmax was 135.97 mg·L-1, AUC(0-t) was 1 305.79 mg·L-1·h, and the relative bioavailability was 119.686%. CONCLUSION After intragastric administration of naproxen choline to rats, the peak concentration and bioavailability of the naproxen in vivo are higher than those of the common suspension, and the peak time is earlier.

Objective:To analyze the online learning behaviors and learning results of students under different teaching modes with different learning motivations, and to provide a reference for optimizing the development of online teaching.Methods:Samples of students taking the physiology small private online course (SPOC) in 2019 and 2020, and students taking the massive open online courses (MOOC) in the same year were selected in the study to discuss the differences in learning behaviors of students under different teaching modes and learning effects on students with different learning motivations. The online learning behaviors of students were analyzed based on their learning engagement, interactive behavior and learning motivation. SPSS 25.0 was used to analyze the data with statistical methods such as function calculation, frequency statistics, regression analysis, rank sum test, correlation test and chi-square test.Results:The learning participation level ( z=14.36, P<0.001), and the human-machine and interpersonal learning interaction level ( z=-11.70, -16.18, both P<0.001) of SPOC learners in 2020 were higher than those in 2019. The overall interactive level was moderately correlated with performances of students ( r=0.42, 0.52, both P<0.001), and the correlation between interpersonal behavior and grades was much more stronger ( r=0.60, 0.55, both P<0.001). The performance composition of SPOC and MOOC learners in 2019 was completely different ( χ2=857.45, P<0.001). The learning effect of externally motivated students was significantly better than that of internally motivated students ( z=-28.42, P<0.001). Conclusion:The teaching mode adopted by the school can affect the learning effect by influencing the students' online learning engagement and interactive behavior. Besides, students' own learning motivation also plays a key role in their academic performance.

Objective:To evaluate the use of ulthera in carotid body tumor resectionMethods:From Jun 2004 to Jun 2019 at the First Hospital of China Medical University. Forty-three shamblin grade Ⅱ or Ⅲ patients were retrospectively assigned to ulthera assisted carotid body tumor resection (26 cases) and traditional carotid body tumor resection (17 cases).Results:In ulthera assisted group, the average tumor diameter was (4.0±0.6) cm, compared to (3.9±0.9) cm in traditional carotid body tumor surgery group, P=0.875. The operation time of the two group was respectively (117.6±39.8) min and (149.4±55.0) min ( P=0.005), blood loss (145.7±70.6) ml vs. (194.1±80.7) ml ( P=0.006), hospital stay was (16.8±7.5) d vs. (22.7±13.0) d ( P=0.017), and following-up period was between 6 and 180 months. One patient relapsed in ulthera assisted group. The postoperative complications occurred in 8 and 7 cases respectively. Conclusion:Ulthera assisted carotid body tumor resection helps shorten operation time, hospital stay and decrease intraoperative blood loss.