Objective To investigate the current status of symptom burden and psychological distress among lung cancer patients in the diagnostic phase, and to explore the chain mediating role of social support and resilience between symptom burden and psychological distress. Methods The patients with lung cancer in the diagnostic phase who were treated in the Department of Thoracic Surgery of the Second Xiangya Hospital of Central South University from October 2022 to June 2023 were investigated by a general information questionnaire using the MD Anderson Symptom Inventory, the Social Support Rating Scale, the Connor-Davidson Resilience Scale, and the Distress Thermometer. The chain mediating role of social support and resilience between symptom burden and psychological distress was analyzed. Results A total of 413 lung cancer patients were enrolled, including 173 males and 240 females, aged (54.69±10.82) years. The detection rate of psychological distress among lung cancer patients in the diagnostic phase was 48.18%, and the average score was (3.84±2.50) points. Psychological distress was positively correlated with symptom burden (P<0.01), and negatively correlated with social support and resilience (P<0.01). The mediating effect of resilience between symptom burden and psychological distress was significant. The chain mediating effect of social support and resilience between symptom burden and psychological distress was also significant. Conclusion Lung cancer patients in the diagnostic phase have a high detection rate of psychological distress. Symptom burden can directly impact psychological distress, and can affect psychological distress through the indirect path of resilience as well as the chain mediating path between social support and resilience among lung cancer patients in the diagnostic phase.

Objective:To explore the effect of transcranial direct current stimulation (tDCS) on dysphagia in hemispheric stroke patients.Methods:Sixty-two hemispheric stroke patients with dysphagia were randomized into an ipsilateral group, a contralateral group and a bilateral group with 20 in each group. The ipsilateral and contralateral groups received tDCS over their ipsilesional and contralesional hemispheres, respectively, while in the bilateral group it was over both hemispheres. That was followed by conventional swallowing therapy. Before and after 2 weeks of the treatment, swallowing function was assessed using the modified Mann Assessment of Swallowing Ability (MMASA) and a Swallow Severity scale (SSS). Linear regressions were evaluated to highlight the factors most influencing recovery from post-stroke hemispheric dysphagia.Results:After the treatments, the average MMASA and SSS scores had increased significantly in all three groups. There was no significant difference in the average post-treatment MMASA and SSS scores between the ipsilateral and contralateral groups, but the bilateral group showed significantly better average post-treatment MMASA and SSS scores compared to the other two groups. Linear regression analysis confirmed that the tDCS protocol (group allocation) was a significant predictor of recovery.Conclusion:Bilateral tDCS can effectively promote the recovery of swallowing function after a hemispheric stroke. It demonstrates greater therapeutic benefits than unilateral tDCS.

The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

To examine the evolution of surgical techniques and trends in overall inpatient burden for pediatric adenoidectomy in Beijing tertiary hospitals from 2013 to 2022. A retrospective observational study was conducted using the regional health information platform of Beijing. Data from children aged ≤14 years who underwent adenoidectomy between 2013 and 2022 were extracted, including total hospitalization cost, length of stay(LOS), surgical material cost, surgical fee, operative technique, perioperative antimicrobial drugs cost, coagulation factor cost, and blood transfusion cost. The Mann-Kendall trend test was used to assess temporal changes in total hospitalization expenses and the structure of cost components. The results showed that over the 10-year period from 2013 to 2022, a total of 25 989 children underwent adenoidectomy in tertiary hospitals. The proportion of children aged ≤6 years increased from 59.83% to 76.11%, showing a significant upward trend ( Z=2.15, P=0.032). Only one case required surgical hemostasis due to postoperative bleeding. During the ten-year period, the median hospitalization cost for adenoidectomy in tertiary hospitals was ￥12 425.82 (￥11 307.43, ￥14 955.42).Overall hospitalization cost demonstrated a fluctuating downward pattern, decreasing from ￥15 229.73 in 2013 to ￥13 927.52 in 2022, this declining trend was not statistically significant( Z=-0.54, P=0.592). In contrast, the surgical costs showed an upward trend over the decade increasing from ￥1 856.22 in 2013 to ￥3 726.45 in 2022, which was statistically significant ( Z=3.22, P=0.001), while the cost of surgical materials showed no significant increase ( Z=1.79, P=0.074).Concurrently, the average LOS decreased remarkably from 10.56 days in 2013 to 3.26 days in 2022 ( Z=-3.94, P<0.001). The cost of perioperative antimicrobial drugs decreased ( Z=-3.94, P<0.001), while the cost of coagulation factors and blood transfusion remained unchanged ( Z=0.54, P=0.592; Z=0.56, P=0.578). Comparison between 2013-2017 and 2018-2022 showed a significant increase in the use of coblation from 28.9% to 42.5% ( χ2=638.7, P<0.001).Furthermore, in the coblation group, total hospitalization cost decreased by 27.73%, surgical cost increased by 94.98%, surgical material cost decreased by 10.33%, LOS shortened by 56.24%, and antimicrobial drug cost increased by 43.03%. In contrast, the non-coblation group showed a 23.94% increase in total hospitalization cost, a 57.08% increase in surgical procedure cost, a 33.88% increase in material cost, and a 30.14% reduction in LOS and a 26.0% decrease in antimicrobial drugs cost. In conclusion,from 2013 to 2022, total hospitalization cost for pediatric adenoidectomy in Beijing tertiary hospitals remained stable. Compared to non-coblation techniques, coblation was associated with a shorter LOS, lower total costs, a higher proportion of surgical fees, and a decreased proportion of material costs, without a significant increase in overall healthcare costs.

Objective:To explore the effect of transcranial direct current stimulation (tDCS) on dysphagia in hemispheric stroke patients.Methods:Sixty-two hemispheric stroke patients with dysphagia were randomized into an ipsilateral group, a contralateral group and a bilateral group with 20 in each group. The ipsilateral and contralateral groups received tDCS over their ipsilesional and contralesional hemispheres, respectively, while in the bilateral group it was over both hemispheres. That was followed by conventional swallowing therapy. Before and after 2 weeks of the treatment, swallowing function was assessed using the modified Mann Assessment of Swallowing Ability (MMASA) and a Swallow Severity scale (SSS). Linear regressions were evaluated to highlight the factors most influencing recovery from post-stroke hemispheric dysphagia.Results:After the treatments, the average MMASA and SSS scores had increased significantly in all three groups. There was no significant difference in the average post-treatment MMASA and SSS scores between the ipsilateral and contralateral groups, but the bilateral group showed significantly better average post-treatment MMASA and SSS scores compared to the other two groups. Linear regression analysis confirmed that the tDCS protocol (group allocation) was a significant predictor of recovery.Conclusion:Bilateral tDCS can effectively promote the recovery of swallowing function after a hemispheric stroke. It demonstrates greater therapeutic benefits than unilateral tDCS.

Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

To examine the evolution of surgical techniques and trends in overall inpatient burden for pediatric adenoidectomy in Beijing tertiary hospitals from 2013 to 2022. A retrospective observational study was conducted using the regional health information platform of Beijing. Data from children aged ≤14 years who underwent adenoidectomy between 2013 and 2022 were extracted, including total hospitalization cost, length of stay(LOS), surgical material cost, surgical fee, operative technique, perioperative antimicrobial drugs cost, coagulation factor cost, and blood transfusion cost. The Mann-Kendall trend test was used to assess temporal changes in total hospitalization expenses and the structure of cost components. The results showed that over the 10-year period from 2013 to 2022, a total of 25 989 children underwent adenoidectomy in tertiary hospitals. The proportion of children aged ≤6 years increased from 59.83% to 76.11%, showing a significant upward trend ( Z=2.15, P=0.032). Only one case required surgical hemostasis due to postoperative bleeding. During the ten-year period, the median hospitalization cost for adenoidectomy in tertiary hospitals was ￥12 425.82 (￥11 307.43, ￥14 955.42).Overall hospitalization cost demonstrated a fluctuating downward pattern, decreasing from ￥15 229.73 in 2013 to ￥13 927.52 in 2022, this declining trend was not statistically significant( Z=-0.54, P=0.592). In contrast, the surgical costs showed an upward trend over the decade increasing from ￥1 856.22 in 2013 to ￥3 726.45 in 2022, which was statistically significant ( Z=3.22, P=0.001), while the cost of surgical materials showed no significant increase ( Z=1.79, P=0.074).Concurrently, the average LOS decreased remarkably from 10.56 days in 2013 to 3.26 days in 2022 ( Z=-3.94, P<0.001). The cost of perioperative antimicrobial drugs decreased ( Z=-3.94, P<0.001), while the cost of coagulation factors and blood transfusion remained unchanged ( Z=0.54, P=0.592; Z=0.56, P=0.578). Comparison between 2013-2017 and 2018-2022 showed a significant increase in the use of coblation from 28.9% to 42.5% ( χ2=638.7, P<0.001).Furthermore, in the coblation group, total hospitalization cost decreased by 27.73%, surgical cost increased by 94.98%, surgical material cost decreased by 10.33%, LOS shortened by 56.24%, and antimicrobial drug cost increased by 43.03%. In contrast, the non-coblation group showed a 23.94% increase in total hospitalization cost, a 57.08% increase in surgical procedure cost, a 33.88% increase in material cost, and a 30.14% reduction in LOS and a 26.0% decrease in antimicrobial drugs cost. In conclusion,from 2013 to 2022, total hospitalization cost for pediatric adenoidectomy in Beijing tertiary hospitals remained stable. Compared to non-coblation techniques, coblation was associated with a shorter LOS, lower total costs, a higher proportion of surgical fees, and a decreased proportion of material costs, without a significant increase in overall healthcare costs.

Objective To investigate the changes and predictive value of Omentin-1 levels in patients with type 2 diabetes mellitus(T2DM)under different bone metabolic status.Methods A total of 120 T2DM pa-tients admitted to a hospital from June 2021 to December 2022 were selected and divided into group A(normal bone mass,T-value-1.0,36 cases),Group B(bone loss,-2.5＜T-value＜-1.0,49 cases)and group C(osteoporosis,T-value-2.5,35 cases)according to different bone mineral density.Another 50 healthy sub-jects who underwent physical examination in a hospital during the same period were selected as the healthy control group.Basic data,serum Omentin-1 and bone metabolism levels of the 4 groups were compared,and the correlation between serum Omentin-1 and bone metabolism and blood glucose levels was analyzed by Pear-son correlation analysis.Multiple stepwise regression analysis was conducted to analyze the factors affecting bone mineral density in T2DM patients.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum Omentin-1 level in T2DM with osteoporosis.Results The fasting blood glucose(FBG)level of groups A,B and C was higher than that of healthy control group,and the hemoglobin A1c(HbA1c)and homeostasis model assessment of insulin resistance(HOMA-IR)of healthy control group,group A and group B were lower than that of group C,with statistical significance(P＜0.05).Omentin-1,type Ⅰ procollagen N-terminal propeptide(P Ⅰ NP)and osteocalcin(BGP)in healthy control group,group A and group B were higher than those in group C,while the β-CTX sequence of type Ⅰ collagen in healthy con-trol group,group A and group B was lower than that in group C,and the difference was statistically signifi-cant(P＜0.05).Pearson correlation analysis showed that the serum Omentin-1 level in T2DM patients was negatively correlated with the levels of HbA1c,HOMA-IR and β-CTX(r=-0.770,-0.807,-0.759,P＜0.05),and positively correlated with the levels of P Ⅰ NP and BGP(r=0.868,0.879,P＜0.05),but no sig-nificant correlation with FBG level(r=-0.085,P=0.152).Omentin-1,P Ⅰ NP,β-CTX,BGP,HbA1c and HOMA-IR were independent influencing factors of BMD in T2DM patients(P＜0.05).ROC curve analysis showed that the area under the curve of serum Omentin-1 level predicting T2DM with osteoporosis was 0.835(95％CI:0.764-0.906),and when the cut-off value was 50.325 ng/mL,the sensitivity was 0.854,the speci-ficity was 0.801,and the Youden index was 0.655.Conclusion Serum Omentin-1 expression is low in T2DM patients,and its expression is closely related to bone mineral density,bone metabolism and insulin resistance in T2DM patients,and can effectively predict the occurrence of T2DM with osteoporosis.