Psychological problems are significant factors that contribute to the occurrence of postoperative complications, reduced quality of life, and prolonged hospital stays. Lung cancer patients who require surgery often experience high psychological stress related to both the disease and the treatment, making them more susceptible to depression and anxiety. Therefore, timely intervention to address these psychological issues is crucial for promoting postoperative recovery and improving patients' quality of life. This paper will review the current status, impact, and interventions for depression and anxiety-related psychological problems in lung cancer surgery patients.

Background With the continuous development of the healthcare industry, healthcare workers face increasing pressure, including long-term shift work and workplace violence from patients or their relatives. This not only affects the physical and mental health of healthcare workers but may also negatively impact the quality of patient care and the efficiency of medical services. Objectives To analyze the pathways through which shift work and workplace violence affect healthcare workers' self-rated health and depression symptoms, explore potential mediating role of job burnout, and conduct subgroup analyses to reveal differences among various groups. Methods Data were collected from 3706 frontline healthcare workers across 23 provinces from January 10 to February 5, 2019, using a snowball sampling method. The survey included basic demographic information, self-rated health, depression symptoms [assessed using the Patient Health Questionnaire-2 (PHQ-2)], workplace violence experience assessed using the Workplace Violence Scale), and job burnout (assessed using the Chinese Maslach Burnout Inventory). Data were analyzed using logistic regression, structural equation modeling (for mediating effects), and subgroup analysis to examine the impacts of shift work and workplace violence on health and depression symptoms. Results Among the subjects, 2700 workers (73.29%) reported shift work experience, 2079 workers (56.43%) experienced workplace violence, 633 workers (17.18%) reported poor self-rated health, and 687 workers (18.65%) reported depression symptoms. Shift work was associated with self-rated health (OR=0.572, 95%CI: 0.461, 0.710) and depression symptoms (OR=1.519, 95%CI: 1.190, 1.938), while workplace violence also associated with self-rated health (OR=0.566, 95%CI: 0.471, 0.681) and depression symptoms (OR=2.096, 95%CI: 1.740, 2.525). Job burnout significantly mediated the effects of shift work and workplace violence on self-rated health (indirect effects: −0.023, −0.027) and depression symptoms (indirect effects: 0.032, 0.037) (all P < 0.001). The subgroup analysis revealed that age, marital status, physical exercise, smoking, and alcohol consumption influenced the impacts of shift work and workplace violence on health. Conclusion Shift work and workplace violence significantly affect healthcare workers' self-rated health and depression symptoms, with job burnout playing a key mediating role in this process. This suggests that healthcare institutions should improve resource allocation, provide flexible scheduling systems, ensure adequate rest time, and increase psychological support and safety measures to help healthcare workers better cope with work-related stress and violence.

Objectives:The aim of this study was to investigate the value of assessing Selvester QRS score in evaluating myocardial fibrosis in hypertrophic cardiomyopathy(HCM)patients.Methods:A total of consecutive 149 patients with HCM,who were admitted in Fuwai Hospital from October 2008 to September 2013,were enrolled in this study.Qualitative and quantitative analyses of myocardial fibrosis were conducted based on late gadolinium enhancement(LGE)derived from enhanced cardiac magnetic resonance imaging(CMR).According to the qualitative analysis of myocardial fibrosis by CMR-LGE,the patients were divided into the LGE-negative group(n=46)and the LGE-positive group(n=103).Standard 12-lead electrocardiogram examination was performed and the Selvester QRS score was calculated.Multivariate binary Logistic regression analysis was used to analyze the predictive factors of positive LGE,and the correlation analysis between the Selvester QRS score and the LGE score was also performed.Results:Compared with the LGE-negative group,the proportion of patients with a family history of HCM(12.8%vs.28.2%),the proportion of patients with a positive Selvester QRS score(65.2%vs.83.5%)and the Selvester QRS score([1.65±1.81]points vs.[5.71±3.80]points)were higher,the maximum thickness of the left ventricular wall([20.5±3.2]mm vs.[24.5±5.0]mm)and the percentage of left ventricular myocardial scar area([5.0±5.5]%vs.[17.1±11.4]%)were larger in the LGE-positive group(all P<0.05).Multivariate binary logistic regression analysis showed that the Selvester QRS score(OR=1.429,95%CI:1.128-1.802,P=0.003)and the maximum left ventricular wall thickness(OR=1.257,95%CI:1.029-1.537,P=0.025)were independent predictors of positive LGE.Pearson correlation analysis showed that in all HCM patients,the Selvester QRS score was positively correlated with the LGE score(r=0.682,P<0.001),and the percentage of left ventricular myocardial scar area was positively correlated with the percentage of enhanced area to the total mass of left ventricular myocardium(LGE%)(r=0.682,P<0.001);In the LGE positive group,the Selvester QRS score was positively correlated with the LGE score(r=0.569,P<0.001).Receiver operating characteristic(ROC)curve analysis showed that the optimal cut-off values of Selvester QRS score and maximum left ventricular wall thickness for predicting positive LGE were≥3.5 points and≥21 mm,respectively.Conclusions:In HCM patients,the Selvester QRS score is significantly associated with myocardial fibrosis,and the total score≥3.5 serves as a good predictive cutoffvalue for identifying the presence of LGE.

Objectives:The aim of this study was to investigate the value of assessing Selvester QRS score in evaluating myocardial fibrosis in hypertrophic cardiomyopathy(HCM)patients.Methods:A total of consecutive 149 patients with HCM,who were admitted in Fuwai Hospital from October 2008 to September 2013,were enrolled in this study.Qualitative and quantitative analyses of myocardial fibrosis were conducted based on late gadolinium enhancement(LGE)derived from enhanced cardiac magnetic resonance imaging(CMR).According to the qualitative analysis of myocardial fibrosis by CMR-LGE,the patients were divided into the LGE-negative group(n=46)and the LGE-positive group(n=103).Standard 12-lead electrocardiogram examination was performed and the Selvester QRS score was calculated.Multivariate binary Logistic regression analysis was used to analyze the predictive factors of positive LGE,and the correlation analysis between the Selvester QRS score and the LGE score was also performed.Results:Compared with the LGE-negative group,the proportion of patients with a family history of HCM(12.8%vs.28.2%),the proportion of patients with a positive Selvester QRS score(65.2%vs.83.5%)and the Selvester QRS score([1.65±1.81]points vs.[5.71±3.80]points)were higher,the maximum thickness of the left ventricular wall([20.5±3.2]mm vs.[24.5±5.0]mm)and the percentage of left ventricular myocardial scar area([5.0±5.5]%vs.[17.1±11.4]%)were larger in the LGE-positive group(all P<0.05).Multivariate binary logistic regression analysis showed that the Selvester QRS score(OR=1.429,95%CI:1.128-1.802,P=0.003)and the maximum left ventricular wall thickness(OR=1.257,95%CI:1.029-1.537,P=0.025)were independent predictors of positive LGE.Pearson correlation analysis showed that in all HCM patients,the Selvester QRS score was positively correlated with the LGE score(r=0.682,P<0.001),and the percentage of left ventricular myocardial scar area was positively correlated with the percentage of enhanced area to the total mass of left ventricular myocardium(LGE%)(r=0.682,P<0.001);In the LGE positive group,the Selvester QRS score was positively correlated with the LGE score(r=0.569,P<0.001).Receiver operating characteristic(ROC)curve analysis showed that the optimal cut-off values of Selvester QRS score and maximum left ventricular wall thickness for predicting positive LGE were≥3.5 points and≥21 mm,respectively.Conclusions:In HCM patients,the Selvester QRS score is significantly associated with myocardial fibrosis,and the total score≥3.5 serves as a good predictive cutoffvalue for identifying the presence of LGE.

Objectives:The study assessed the relationship between atherogenic index of plasma(AIP)and the rapid progression of coronary non-target lesions.Methods:A total of 1 247 patients with coronary artery disease who underwent two coronary angiography examinations at Fuwai Hospital,Chinese Academy of Medical Sciences between January 2010 and September 2014 were enrolled in this retrospective study.The AIP is defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol.Patients were divided into the high AIP group(n=623)and the low AIP group(n=624)based on the median value of AIP.Lesion rapid progression is defined as an increase of more than 10%in the lumen stenosis of the lesion with a stenosis rate of more than 50%,or an increase of more than 30%in the lumen stenosis rate of the lesion with a stenosis rate of less than 50%,or a progression to total occlusion within 2 years.Results:Median AIP was 0.39(0.23-0.56)in this patient cohort.Rapid progression of non-target lesions occurred in 65(5.21%),including 42(6.74%)in the high AIP group.The Kaplan-Meier curve showed that the cumulative incidence of rapid progression of non-target lesions was higher in the high AIP group than in the low AIP group(HR=1.751,95%CI:1.053-2.912,log-rank P=0.028).In univariate cox analysis,the AIP and high AIP correlated with rapid progression of non-target lesions.After multivariate adjustment,AIP was an independent risk factor for rapid progression of non-target lesions(adjusted HR=2.731,95%CI:1.090-6.844,P=0.032).Conclusions:AIP is an independent risk factor for rapid progression of non-target lesions.AIP should be considered as a biomarker for estimating the risk of cardiovascular disease,along with other traditional risk factors.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Objective:To explore the clinical characteristics and healthcare burden in patients with McCune-Albright syndrome (MAS).Methods:A cross-sectional study was conducted at the Children′s Hospital, Zhejiang University School of Medicine. Clinical and healthcare burden data were systematically collected through structured questionnaires in 164 children with MAS from February 2022 to May 2023. According to the clinical characteristics, patients were categorized into 3 groups: monosymptomatic, bisymptomatic and trisymptomatic groups. Patients were also divided into 3 groups according to the age of <7, 7-<10 and 10-18 years. Comparative analyses of clinical characteristics and healthcare burden were conducted across age, sex, and symptom categories.Results:The cohort comprised 59 males (36.0%) and 105 females (64.0%) with an age of 4.6 (2.0, 7.4) years. Age stratification revealed 117 cases (71.3%) aged 0-<7 years, 29 cases (17.7%) aged 7-<10 years, and 18 cases (11.0%) aged 10-<18 years. Among monosymptomatic (67 cases, 40.9%), the cohort comprised 32 females (47.8%) and 35 males (52.2%), predominantly presenting with fibrous dysplasia (57 cases, 85.1%). This subgroup showed peak prevalence in the 0-<7 years age range (29 cases (50.9%)). The bisymptomatic cohort (56 cases, 34.1%) consisted of 39 females (69.6%) and 17 males (30.4%), predominantly manifesting fibrous dysplasia with skin hyperpigmentation (25 cases, 44.6%). Peak prevalence occurred in the 0-<7 years subgroup(16 cases (64.0%)). The trisymptomatic cohort (41 cases, 25.0%) consisted of 34 females (82.9%) and 7 males (17.1%), with peak prevalence occurring in the 0-<7 years subgroup (36 cases (87.8%)). The diagnostic journey analysis revealed 94 cases (57.3%) required 1-3 referrals, and 34 cases (20.7%) necessitated >3 referrals from symptom onset to definitive diagnosis. Healthcare expenditure analysis revealed 69 families (42.1%) incurred direct medical costs of 10 000-100 000 CNY, with 11 families (6.7%) exceeding >100 000 CNY. Direct non-medical costs reached of 10 000-100 000 CNY for 62 families (37.8%) and >100 000 CNY for 4 families (2.4%). Productivity loss affected 58 families (35.4%) at 10 000-100 000 CNY and 8 families (4.9%) above 100 000 CNY during the study period.Conclusion:MAS requires increased attention to skeletal manifestations, especially in children aged 0-<7 years. Moreover, the significant financial burden on families necessitates a society-wide support system.

Objectives:The study assessed the relationship between atherogenic index of plasma(AIP)and the rapid progression of coronary non-target lesions.Methods:A total of 1 247 patients with coronary artery disease who underwent two coronary angiography examinations at Fuwai Hospital,Chinese Academy of Medical Sciences between January 2010 and September 2014 were enrolled in this retrospective study.The AIP is defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol.Patients were divided into the high AIP group(n=623)and the low AIP group(n=624)based on the median value of AIP.Lesion rapid progression is defined as an increase of more than 10%in the lumen stenosis of the lesion with a stenosis rate of more than 50%,or an increase of more than 30%in the lumen stenosis rate of the lesion with a stenosis rate of less than 50%,or a progression to total occlusion within 2 years.Results:Median AIP was 0.39(0.23-0.56)in this patient cohort.Rapid progression of non-target lesions occurred in 65(5.21%),including 42(6.74%)in the high AIP group.The Kaplan-Meier curve showed that the cumulative incidence of rapid progression of non-target lesions was higher in the high AIP group than in the low AIP group(HR=1.751,95%CI:1.053-2.912,log-rank P=0.028).In univariate cox analysis,the AIP and high AIP correlated with rapid progression of non-target lesions.After multivariate adjustment,AIP was an independent risk factor for rapid progression of non-target lesions(adjusted HR=2.731,95%CI:1.090-6.844,P=0.032).Conclusions:AIP is an independent risk factor for rapid progression of non-target lesions.AIP should be considered as a biomarker for estimating the risk of cardiovascular disease,along with other traditional risk factors.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Objective:To explore the clinical characteristics and healthcare burden in patients with McCune-Albright syndrome (MAS).Methods:A cross-sectional study was conducted at the Children′s Hospital, Zhejiang University School of Medicine. Clinical and healthcare burden data were systematically collected through structured questionnaires in 164 children with MAS from February 2022 to May 2023. According to the clinical characteristics, patients were categorized into 3 groups: monosymptomatic, bisymptomatic and trisymptomatic groups. Patients were also divided into 3 groups according to the age of <7, 7-<10 and 10-18 years. Comparative analyses of clinical characteristics and healthcare burden were conducted across age, sex, and symptom categories.Results:The cohort comprised 59 males (36.0%) and 105 females (64.0%) with an age of 4.6 (2.0, 7.4) years. Age stratification revealed 117 cases (71.3%) aged 0-<7 years, 29 cases (17.7%) aged 7-<10 years, and 18 cases (11.0%) aged 10-<18 years. Among monosymptomatic (67 cases, 40.9%), the cohort comprised 32 females (47.8%) and 35 males (52.2%), predominantly presenting with fibrous dysplasia (57 cases, 85.1%). This subgroup showed peak prevalence in the 0-<7 years age range (29 cases (50.9%)). The bisymptomatic cohort (56 cases, 34.1%) consisted of 39 females (69.6%) and 17 males (30.4%), predominantly manifesting fibrous dysplasia with skin hyperpigmentation (25 cases, 44.6%). Peak prevalence occurred in the 0-<7 years subgroup(16 cases (64.0%)). The trisymptomatic cohort (41 cases, 25.0%) consisted of 34 females (82.9%) and 7 males (17.1%), with peak prevalence occurring in the 0-<7 years subgroup (36 cases (87.8%)). The diagnostic journey analysis revealed 94 cases (57.3%) required 1-3 referrals, and 34 cases (20.7%) necessitated >3 referrals from symptom onset to definitive diagnosis. Healthcare expenditure analysis revealed 69 families (42.1%) incurred direct medical costs of 10 000-100 000 CNY, with 11 families (6.7%) exceeding >100 000 CNY. Direct non-medical costs reached of 10 000-100 000 CNY for 62 families (37.8%) and >100 000 CNY for 4 families (2.4%). Productivity loss affected 58 families (35.4%) at 10 000-100 000 CNY and 8 families (4.9%) above 100 000 CNY during the study period.Conclusion:MAS requires increased attention to skeletal manifestations, especially in children aged 0-<7 years. Moreover, the significant financial burden on families necessitates a society-wide support system.