Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Objective:To evaluate the clinical prognostic value of intratumoral metabolic heterogeneity parameters of baseline 18F-FDG PET/CT in primary cutaneous malignant melanoma (CMM). Methods:From October 2015 to July 2023, the clinical data of 35 patients (24 males, 11 females, age (66.6±13.1) years) diagnosed with primary CMM who underwent baseline 18F-FDG PET/CT in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School were retrospectively analyzed. Conventional metabolic parameters (SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG)) and PET intratumoral metabolic heterogeneity parameters (area under the cumulative SUV histograms curve (AUC-CSH), linear regression slope, SUV max/ SUV mean) were assessed. Using thresholds of 30%, 40%, 50%, 60%, 70%, and 80% SUV max or thresholds of 40%, 60%, and 80% SUV max to delineate MTV, linear regression was performed, with the slopes being heterogeneity index-1 (HI-1) and heterogeneity index-2 (HI-2), respectively. Using SUV thresholds of 2.5, and 40%, 50%, 60%, and 70%SUV max to calculate AUC-CSH and SUV max/SUV mean. Kaplan-Meier survival curves and Cox proportional hazards models were used to analyze the prognostic value of primary lesion PET metabolic parameters on overall survival (OS) and progression-free survival (PFS). Results:The median follow-up time of 35 patients was 20 months, with 25 patients (71%) experiencing disease progression and 16 patients (46%) deceased. Multivariate Cox regression analysis revealed that HI-1, HI-2, MTV, SUV max/SUV mean2.5, and SUV max were the independent prognostic factors for PFS (hazard rate ( HR) (95% CI): 0.32(0.13-0.82), 0.32(0.13-0.82), 3.86(1.34-11.12), 4.61(1.33-16.02), 4.06(1.55-10.61), all P<0.05), whereas SUV max and SUV max/SUV mean2.5 were the independent prognostic factors for OS ( HR: 8.04(1.96-32.87), 2.87(1.09-7.51), P values: 0.004, 0.032). Conclusion:HI-1, HI-2, and SUV max/SUV mean2.5 have prognostic value for CMM, while the value of AUC-CSH heterogeneity parameters are not significant.

Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Objective:To evaluate the clinical prognostic value of intratumoral metabolic heterogeneity parameters of baseline 18F-FDG PET/CT in primary cutaneous malignant melanoma (CMM). Methods:From October 2015 to July 2023, the clinical data of 35 patients (24 males, 11 females, age (66.6±13.1) years) diagnosed with primary CMM who underwent baseline 18F-FDG PET/CT in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School were retrospectively analyzed. Conventional metabolic parameters (SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG)) and PET intratumoral metabolic heterogeneity parameters (area under the cumulative SUV histograms curve (AUC-CSH), linear regression slope, SUV max/ SUV mean) were assessed. Using thresholds of 30%, 40%, 50%, 60%, 70%, and 80% SUV max or thresholds of 40%, 60%, and 80% SUV max to delineate MTV, linear regression was performed, with the slopes being heterogeneity index-1 (HI-1) and heterogeneity index-2 (HI-2), respectively. Using SUV thresholds of 2.5, and 40%, 50%, 60%, and 70%SUV max to calculate AUC-CSH and SUV max/SUV mean. Kaplan-Meier survival curves and Cox proportional hazards models were used to analyze the prognostic value of primary lesion PET metabolic parameters on overall survival (OS) and progression-free survival (PFS). Results:The median follow-up time of 35 patients was 20 months, with 25 patients (71%) experiencing disease progression and 16 patients (46%) deceased. Multivariate Cox regression analysis revealed that HI-1, HI-2, MTV, SUV max/SUV mean2.5, and SUV max were the independent prognostic factors for PFS (hazard rate ( HR) (95% CI): 0.32(0.13-0.82), 0.32(0.13-0.82), 3.86(1.34-11.12), 4.61(1.33-16.02), 4.06(1.55-10.61), all P<0.05), whereas SUV max and SUV max/SUV mean2.5 were the independent prognostic factors for OS ( HR: 8.04(1.96-32.87), 2.87(1.09-7.51), P values: 0.004, 0.032). Conclusion:HI-1, HI-2, and SUV max/SUV mean2.5 have prognostic value for CMM, while the value of AUC-CSH heterogeneity parameters are not significant.

Objective To determine whether relative abundance of epidermal growth factor receptor (EGFR) mutations in plasma predicts clinical response to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) in patients with advanced lung adenocarcinoma. Methods In this prospective study, adult patients with advanced lung adenocarcinoma were enrolled in our hospital from 1 April 2016 to 1 January 2017. EGFR mutations in tumor tissues were detected by ADx-amplification refractory mutation system (ADx-ARMS). EGFR mutations of plasma free tumor DNA were detected by ADx-ARMS and ADx-super amplification refractory mutation system (ADx-SuperARMS) at the same time. Patients with EGFR-mutant in tumor tissues and receiving EGFR-TKIs were finally enrolled. Plasma mutation-positive patients with both methods were high abundance group.Patients with positive mutations by ADx-SuperARMS but negative by ADx-ARMS were medium abundance group. Mutation-negative patients with both methods were recognized as low abundance group. The correlation between EGFR mutation abundance and clinical response to EGFR-TKIs were analyzed. Results Among 71 patients enrolled, 42 harbored EGFR mutations in plasma were detected by ADx-ARMS, while 53 were found by ADx-SuperARMS.There were 42 patients in high abundance group, 11 in medium group while the other 18 in low group. The objective response rates (ORRs) were 69.0%,7/11 and 10/18 in high, medium and low groups, respectively. The difference was significant between high and low abundances groups (P=0.006). Median progression-free survival (PFS) in high,medium and low groups were 11.0, 8.5 and 9.0 monthes, respectively (P<0.001). In patients with tumor 19-Del, the ORRs were 70.4%,5/7 and 6/11 in high,medium and low abundance groups, respectively. The median PFS of high abundance group was significantly longer than the other two groups (12.0 monthes vs 9.0, 9.0 monthes). As to subjects with L858R mutation, the ORRs were 10/15,2/4 and 3/6,respectively, with median PFS 9.6, 5.5 and 9.5 monthes. Conclusions The relative abundance of EGFR mutations in plasma predicts clinical response to EGFR-TKIs in patients with advanced lung adenocarcinoma. The higher the mutation abundance is, the better the efficacy of EGFR-TKIs is.

Objective: To study the main factors that influencing Pneumoconiosis patients' healthcare seeking behaviors. Methods: Conducting a descriptive analysis to analyze the relationship between the annual hospitalization rate and social security status (medical insurance, location of medical insurance, proportion of insurance used for reimbursement of pneumoconiosis, whether there is employment injury insurance at work, whether to apply for compensation after diagnosing pneumoconiosis, whether they receive social assistance and a minimum allowance) , social relationship status of patients (whether there is pneumoconiosis in the family or relatives, whether there is a pneumoconiosis in a friend or a colleague, and whether or not he/she has received financial assistance) , life quality of patients (subjective feelings) and living standard of patients (dietary level) based on data acquired from 120 pneumoconiosis patients. Results: The results of single factor analysis reveal that the location of medical insurance, the proportion of insurance for reimbursement of pneumoconiosis, whether there is employment injury insurance at work, whether to apply for compensation after diagnosing pneumoconiosis are statistically significant in pneumoconiosis patients' hospital utilization ratio (P<0.05) . The place where medical insurance is located is the current place of residence, the reimbursement ratio of medical insurance for pneumoconiosis is listed as 50%-70%, the work unit has medical insurance, those who have not applied for compensation for pneumoconiosis have a higher utilization rate of hospitalization services. The annual hospitalization rate was 73.3%, 80.0%, 60.6%, 63.0%, respectively. Conclusion The location of patient medical insurance, the proportion of insurance used for reimbursement of pneumoconiosis, whether there is employment injury insurance at work, and whether to apply for compensation after pneumoconiosis are the influencing factors of the patients' annual hospitalization rate.

Objective: To understand the situation and characteristics of out-patient utilization of urban and rural pneumoconiosis patients in Jiangsu province, and to provide a reference for the formulation of relevant policies. Methods: Using a questionnaire on patients with pneumoconiosis and their influencing factors, 120 patients with pneumoconiosis were randomly selected in Nanjing, Wuxi, Suzhou, Yancheng Vocational Defense Institute or CDC. The rate of outpatients with pneumoconiosis in urban and rural areas and the choice of out-patient hospitals were analyzed. Results: Of the 75 patients with severe pneumoconi-related symptoms such as chest tightness and dyspnea in the first two weeks of the survey, 36 (48.0%) lived in cities and 39 (52.0%) lived in rural areas. Patients with pneumoconiosis who live in urban and rural areas have different aggravating conditions within two weeks. Two weeks of aggravated symptoms in outpatient consultations accounted for36 (48.0%) . Of the 36 patients who used outpatient treatment, rural residents mainly chose 8 people from a hospital and a township health hospital, accounting for 34.8%, while 10 people from urban residents chose a nursing home or nursing home, accounting for 40.0%. The main reason why urban and rural pneumoconiosis patients did not go to the doctor is "conscious symptoms are lighter" and "feel that the doctor is useless." Conclusion The rate of outpatients with pneumoconiosis in Jiangsu province within two weeks is lower than that of ordinary elderly residents. There may be differences in treatment behavior patterns of urban and rural pneumoconiosis patients.Economic factors have a certain influence on the outpatient treatment behavior of pneumoconiosis patients. The recognition of outpatient service is the main factor affecting the outpatient treatment of pneumoconiosis patients. It is very important to popularize the knowledge of pneumoconiosis and do a good job in propaganda of occupational diseases and health education for pneumoconiosis patients. Focusing on the outpatient treatment of pneumoconiosis patients and making targeted medical policies is very important to standardize and improve the rehabilitation of pneumoconiosis patients.