ObjectiveTo assess the availability of bronchodilators for treatment of chronic obstructive pulmonary disease (COPD) in community health service centers (CHCs) in Shanghai. MethodsOn the basis of previous research, the questionnaire was updated, and surveys were conducted from April to May 2023 in CHCs in Shanghai, with a focus on the availability of medications for COPD treatment. According to the National Basic Medical Insurance, Work Injury Insurance, and Maternity Insurance Drug List (2023 Edition), a total of 24 types of bronchodilators for COPD treatment were identified. The availability rates were used to assess the accessibility of specific drugs in CHCs, and the dispensing rates were used to evaluate the variety of these medications in CHCs. ResultsA total of 248 CHCs responded, with a response rate of 100.0%. Among them, a total of 232 CHCs (93.5%) were equipped with bronchodilators. In terms of availability rates, the availability rates for β₂ adrenoreceptor agonists, muscarinic antagonists, combination drugs, and xanthines drugs were 86.3%, 52.0%, 52.4%, and 85.1%, respectively. Regional differences were observed, in that salbutamol/levalbuterol and budesonide-formoterol were less available in suburban CHCs, ipratropium bromide had lower availability in urban CHCs, and aminophylline was more available in suburban CHCs. Regarding the dispensing rates of the 24 types of bronchodilators for COPD treatment, the median of types equipped by CHCs was 5, with a total of 200 CHCs (80.6%) equipped with fewer than 7 types of bronchodilator drugs. ConclusionThe proportion of CHCs in Shanghai equipped with bronchodilators for COPD is relatively high. However, there exist problems such as limited variety of stocked medications, significant differences in the availability of different drugs, and regional imbalances in drug stocking. To improve the standardized diagnosis, treatment, and management of COPD patients, it is recommended to enhance the availability of COPD treatment medications in CHCs.

Objective:To construct a general deep learning dose prediction model applicable to radiotherapy for head and neck tumors, establish design methods for artificial intelligence (AI)-assisted radiotherapy plan and evaluate the accuracy of prediction.Methods:Radiotherapy plans of 818 patients who received radiotherapy for head and neck cancers from January 2018 to June 2021 in Cancer Hospital of Chinese Academy of Medical Sciences were enrolled. Patients involved 17 types of common head and neck cancers, and the prescribed dose covered 5 kinds of dose gradients ranging from 54 Gy to 73.92 Gy. And 1-2 cases per each cancer type (31 cases in total) were randomly selected as the validation set, and the remaining 787 cases were used as the training set to build a deep learning head and neck radiotherapy generalized dose prediction model. Then based on the dose prediction results of this model, a program was written to automatically generate inverse optimization condition scripts, which were sent back to the treatment planning system to achieve AI-assisted radiotherapy plan design. Among the patients who received radiotherapy in our hospital from June 2021 to January 2022, 1 patient for each disease type (17 cases in total) was selected to evaluate the AI-assisted plan design program and evaluate its clinical feasibility using paired t-test. Results:Dose prediction model accuracy evaluation revealed that in the 31-case validation set, there was no statistical difference in the evaluation metrics of clinical concern for organs at risks, except for the D 1 cm3 prediction for spinal cord planning risk volume, which was statistically different compared with the clinical reference plan. The AI-assisted plan design program had higher plan quality metric scores (37.88±6.42) than manual plans (35.00±7.63) in 17 test cases ( t=-1.00, P=0.166). The number of manual adjustments to the inverse optimization conditions was reduced from (5.47±2.97) times to (2.76±1.00) times for the AI-assisted plan compared to the manual-only plan ( t=4.12, P<0.001). And the number of outlined dose shaping structures was reduced from 7.35±3.98 to 3.12±1.18 ( t=5.61, P<0.001). Conclusions:The unified universal model of dose prediction established for different head and neck cancers has high accuracy in dose prediction for all types of head and neck tumor plans. The AI-assisted planning method established in this pattern can reduce the clinical workload of physicists and improve the efficiency of their work.

Objective:To construct a general deep learning dose prediction model applicable to radiotherapy for head and neck tumors, establish design methods for artificial intelligence (AI)-assisted radiotherapy plan and evaluate the accuracy of prediction.Methods:Radiotherapy plans of 818 patients who received radiotherapy for head and neck cancers from January 2018 to June 2021 in Cancer Hospital of Chinese Academy of Medical Sciences were enrolled. Patients involved 17 types of common head and neck cancers, and the prescribed dose covered 5 kinds of dose gradients ranging from 54 Gy to 73.92 Gy. And 1-2 cases per each cancer type (31 cases in total) were randomly selected as the validation set, and the remaining 787 cases were used as the training set to build a deep learning head and neck radiotherapy generalized dose prediction model. Then based on the dose prediction results of this model, a program was written to automatically generate inverse optimization condition scripts, which were sent back to the treatment planning system to achieve AI-assisted radiotherapy plan design. Among the patients who received radiotherapy in our hospital from June 2021 to January 2022, 1 patient for each disease type (17 cases in total) was selected to evaluate the AI-assisted plan design program and evaluate its clinical feasibility using paired t-test. Results:Dose prediction model accuracy evaluation revealed that in the 31-case validation set, there was no statistical difference in the evaluation metrics of clinical concern for organs at risks, except for the D 1 cm3 prediction for spinal cord planning risk volume, which was statistically different compared with the clinical reference plan. The AI-assisted plan design program had higher plan quality metric scores (37.88±6.42) than manual plans (35.00±7.63) in 17 test cases ( t=-1.00, P=0.166). The number of manual adjustments to the inverse optimization conditions was reduced from (5.47±2.97) times to (2.76±1.00) times for the AI-assisted plan compared to the manual-only plan ( t=4.12, P<0.001). And the number of outlined dose shaping structures was reduced from 7.35±3.98 to 3.12±1.18 ( t=5.61, P<0.001). Conclusions:The unified universal model of dose prediction established for different head and neck cancers has high accuracy in dose prediction for all types of head and neck tumor plans. The AI-assisted planning method established in this pattern can reduce the clinical workload of physicists and improve the efficiency of their work.

ObjectiveTo evaluate the validity of four screening questionnaires on chronic obstructive pulmonary disease (COPD) among community residents in Shanghai, and to provide a scientific basis for selecting suitable screening questionnaires and plans for the community use. MethodsA multi-stage random sampling method was used to select community residents aged ≥40 for COPD questionnaire screening and spirometry. The screening questionnaires included the COPD Population Screener Questionnaire (COPD-PS), the COPD Screening Questionnaire (COPD-SQ), the COPD Diagnosis Questionnaire (CDQ), and the Lung Function Questionnaire (LFQ). The diagnostic gold standard for COPD was defined as a ratio of post-bronchodilator forced expiratory volume in one second to forced vital capacity (FEV1/FVC) less than 0.7. The receiver operating characteristic (ROC) curve was used to assess the validity of each questionnaire, and DeLong’s test was used to compare the area under the curve (AUC) of different questionnaires. ResultsAmong the 1 122 residents screened, 99 (8.8%) were diagnosed with COPD based on the gold standard criteria. The AUC values for the four questionnaires ranged from 0.643 to 0.682, with no statistically significant differences in screening accuracy among them (P>0.05). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for each questionnaire at recommended cut-off points were as follows: COPD-PS (sensitivity: 33.3%, specificity: 84.9%, PPV: 17.6%, NPV: 92.9%), COPD-SQ (34.3%, 85.8%, 19.0%, 93.1%), CDQ (73.7%, 42.4%, 11.0%, 94.4%), and LFQ (48.5%, 74.8%, 15.7%, 93.8%). Optimal cut-off values for this population differed from the recommended values. When selecting the optimal cut-off value, the sensitivity of COPD-PS (58.6%), COPD-SQ (55.6%), and LFQ (64.7%) increased, while the specificity of CDQ (75.9%) increased. The AUC of sequential lung function testing for all four screening questionnaires increased to 0.7 or above. The optimal cut-off values for the four questionnaires in this population differed from the recommended values. When applying the optimal cut-off values, the sensitivity of three questionnaires increased: COPD-PS (58.6%), COPD-SQ (55.6%), and LFQ (64.7%), while the specificity of CDQ rose to 75.9%. The AUC of each questionnaire increased to above 0.7 when followed by sequential lung function testing. ConclusionThe COPD-PS, COPD-SQ, CDQ, and LFQ have limited value for COPD screening among Shanghai community residents, indicating that further refinement of these tools is needed.

Objective:To establish a qualitative and quantitative analysis method of ginsenoside Rb1, cinnamic acid, paeoniflorin and berberine in Wenxin formula based on UPLC-MS/MS MRM model so as to provide a rapid and accurate evaluation method for the research and development of new drugs.Methods:Adopting Waters ACQUITY UPLCTM HSS T3 (2.1 mm×100 mm, 1.8 μm) and gradient elution was performed by mobile methanol-0.03% formic acid water. chromatographic column was used with electrospray ionization source in the scanning mode of multiple reactive ion monitoring (MRM) for ion separation and screening. The retention time and the relative abundance ratio (qualitative ion pairs/quantitative ion pairs) was used for qualitative analysis, while quantitative ion pairs was used for quantitative analysis.Results:The four components tested in Wenxin Formula have been qualitatively detected and showed a good linear relationship, the method showed accuracy, precision, repeatability, and stability, the recovery rate was 96.24%-104.19% and RSD was 1.29%-3.30%. Conclusion:The established method is simple, accurate, rapid and sensitive, which is reliable for the qualitative and quantitative study of the four main components in Wenxin Formula.

Objective:To explore the effect of different glucose concentrations on the uptake of 18F-FDG and the expression of glucose transport protein(Glut)-1 and Glut-3 in non-small cell lung cancer (NSCLC). Methods:NSCLC cell line A549 cells were cultured in DMEM medium with glucose concentrations of 3.9, 5.0, 6.1, 8.3 and 11.1 mmol/L respectively for 24 h. Then 3.7×10 4 Bq 18F-FDG was added into each group and γ counter was used to measure the radioactivity count 1 h later. Western blot was used to examine the expression of Glut-1 and Glut-3. One-way analysis of variance and Bonferroni test were used for data analysis. The correlation was analyzed by Pearson correlation analysis. Results:The 18F-FDG uptake rates in 3.9, 5.0, 6.1, 8.3 and 11.1 mmol/L groups were (4.89±0.83)%, (4.07±0.23)%, (3.66±0.29)%, (3.34±0.16)% and (3.29±0.24)%, respectively ( F=7.05, P=0.006). Compared with 3.9 mmol/L group, the 18F-FDG uptake rates in 8.3 and 11.1 mmol/L groups were reduced and differences were statistically significant ( P values: 0.013, 0.010), while there were no statistical differences between the other groups ( P values: 0.057-0.999). The relative expressions of Glut-1 and Glut-3 in each group were 1.17±0.10, 1.00±0.00, 0.84±0.07, 0.70±0.18, 0.61±0.16, and 1.14±0.05, 1.00±0.00, 0.86±0.12, 0.71±0.05, 0.40±0.06, respectively ( F values: 10.26 and 51.94, P values: 0.001, <0.001). Moreover, the 18F-FDG uptake rates were positively correlated with the expression of Glut-1 and Glut-3 ( r values: 0.775 and 0.744, both P=0.001). Conclusions:When the glucose concentration fluctuates within 3.9-11.1 mmol/L, the change of glucose will affect the 18F-FDG uptake rate and the expression of Glut-1 and Glut-3 in A549 cells. Moreover, the 18F-FDG uptake rate is related to the expressions of Glut-1 and Glut-3.

Objective To investigate the effect of targeted monitoring on the control of central venous catheter associated infection, study the difference of CVC?RI infection rate and the distribution of pathogenic bacteria in the general hospital and the maternal and child hospital, and analyse the main pathogenic bacteria drug resistance characteristics. Methods From January 2013 to December 2014,685 cases patients with central venous catheterization in the Port Hospital of Hebei Port Group Company Limited,and four cooperative hospitals ( Affiliated Hospital of North China University of Science and Technology, People′s Hospital of Tangshan, Tangshan Port Economic Development District Hospital, Maternal and Child Health Care Hospital of Laoting County) were selected as the research objects. The difference of infection rate before and after the targeted monitoring in 2014 was compared. The tip of the catheter and the peripheral blood were cultured in the patients with suspected infection,bacterial identification and drug sensitivity test were carried out using Compact VITEK2 automatic bacteria identification/drug sensitivity analyzer. Results The infection rate of CVC?RI of five hospitals was 18. 75%( 60/320 ) in 2013, 11. 51%( 42/365 ) in 2014, the difference of infection rate was statistically significant before and after the implementation of the target monitoring(χ2=7. 059,P<0. 05) . The CVC?RI infection rate was 15. 52%(81/522) in the general hospital,12. 88%(21/163) in the maternal and child hospital,the difference was not statistically significant(P>0. 05). In 102 cases of CVC?RI,105 bacterial strains were detected in 91 cases,gram positive bacteria accounted for 51. 43%( 54/105) ,gram negative bacilli accounted for 40. 95%( 43/105) ,fungi accounted for 7. 62%( 8/105) . There was no significant difference in the proportion of pathogenic bacteria in the general hospital and the maternal and child hospital(P>0. 05). Grampositive cocci were mainly staphylococcus aureus and coagulase negative staphylococci,they were completelysensitive to linezolid, quinupristin/ dalfopristin, tigecycline, and vancomycin. They were high sensitivity torifampicin,while highly resistant to gentamicin, tetracycline, penicillin; Gram negative bacilli were mainlypseudomonas aeruginosa and escherichia coli,they were high sensitivity to meropenem,imipenem,while resistantto multiple antimicrobia1s. Conclusion Adhere to the implementation of targeted monitoring help to reduce theoccurrence of CVC?RI. The isolation of pathogenic bacteria from multiple drug resistance should be paid moreattention.

OBJECTIVETo study the trend of accidental death among children under 5 years of age in Beijing.

METHODSCases of death in children under 5 years old in Beijing, during 2003-2012 were collected, to analyze the strength and trends of accidental death, main causes of accident and its epidemiological features.

RESULTSThe overall accidental death was 8.47% of all death among children under 5 years old in Beijing during 2003-2012. During these 10 years, data showed a downward trend on the mortality rates on injuries (P < 0.05), especially on drowning, in 1-4 year old and rural children under five years of age. In 2012, the accidental death rate of children under five was 6.37/105. The 5 main causes of accidental deaths were suffocation, traffic accident, falling, poisoning and drowning, in order of size. The main causes of death were suffocation in the 0-1 year group, suffocation and traffic accident in the 1-2 year group and traffic accident in the 3-4 year group. The proportion of deaths due to traffic accident increased gradually with age. Area distribution showed that accidental deaths mainly happened in rural area (52.19%), with two main types as traffic accident and suffocation.

CONCLUSIONThe reduction of accidental death rate among children under 5 years old in Beijing mainly was caused by the decline of accident mortality in 1-4 year old and children in the rural areas. Our data suggested that the focus in reducing the accidental death rate among children under 5 years old in Beijing should target on the prevention of infant suffocation and traffic accidents among the 1-4 year old, with rural areas in particular.

Accidents ; mortality ; Accidents, Traffic ; mortality ; Asphyxia ; mortality ; Cause of Death ; Child Mortality ; Child, Preschool ; China ; epidemiology ; Drowning ; mortality ; Female ; Humans ; Infant ; Male ; Suicide

OBJECTIVETo understand the age-specific and cause-specific mortality rate among children under 5 years old in Beijing from 2003 to 2012.

METHODSDeath surveillance data of children under the age of 5 were obtained from Beijing children mortality surveillance network from 2003 to 2012. Neonatal mortality rate (NMR), infant mortality rate (IMR), under 5-year old children mortality rate (U5MR) and the leading cause of death for under 5-year old children in urban, suburbs, and outer suburbs in Beijing were analyzed.

RESULTSThe NMR, IMR and U5MR in Beijing were 2.08 (253/121 747), 3.11 (379/121 747) and 3.57 (435/121 747) per 1000 live births in 2012, respectively, which declined 54.88%, 50.24% and 54.75% compared with the level in 2003 respectively. The children mortality rates showed a decreasing trend in urban, suburb, and outer suburbs during 2003 and 2012 (NMR was decreased from 0.53%, 0.42%, and 0.48% in 2003 to 0.20%, 0.19%, and 0.23% in 2012; IMR was decreased from 0.73%, 0.58%, and 0.63% in 2003 to 0.30%, 0.29%, and 0.35% in 2012; U5MR was decreased from 0.90%, 0.72%, and 0.82% to 0.33%, 0.34%, and 0.39% in 2012, P < 0.01). There was a steady decline in the U5MR due to congenital heart disease, birth asphyxia, premature birth or low birth weight and traffic accident in Beijing from 2003 to 2012. The mortality rate of congenital heart disease declined from 140.63 to 41.89 per 100 000 live births, birth asphyxia declined from 109.38 to 59.96 per 100 000 live births, premature birth or low birth weight declined from 85.94 to 52.57 per 100 000 live births, traffic accident declined from 26.04 to 6.57 per 100 000 live births (P < 0.01). The mortality rate of congenital heart disease declined remarkably from 216.56 to 52.47, from 119.75 to 23.50, and from 134.58 to 63.11 per 100 000 live births in urban, suburb, and outer suburbs(P < 0.01). Six of the top 8 leading causes of death among children under 5 years old declined remarkably in rural areas. They were congenital heart disease, birth asphyxia, premature birth or low birth weight, traffic accident, drowning, and septicemia, and the mortality rate of them declined from 134.58 to 63.11, from 127.85 to 65.54, from 100.94 to 60.69, from 33.65 to 12.14, from 33.65 to 0.00, and from 26.92 to 4.85 per 100 000 live births, respectively (P < 0.05). There was no drowning death case in rural areas in recent 4 years. The top 5 leading causes of death among children under 5 years old in Beijing in 2012 were birth asphyxia, premature birth or low birth weight, congenital heart disease, pneumonia, and accidental suffocation. The mortality rate of these top 5 leading causes were 59.96, 52.57, 41.89, 24.64, and 15.61 per 100 000 live births in 2012.

CONCLUSIONFrom 2003 to 2012, the NMR, IMR, U5MR and mortality rate of congenital heart disease declined remarkably in urban, suburb, and outer suburb areas in Beijing. There was a decrease trend for the six of the top 8 leading causes of death among children under 5 years old. The mortality rate of drowning dropped markedly in outer suburbs.

Accidents, Traffic ; Asphyxia ; Asphyxia Neonatorum ; Cause of Death ; Child Mortality ; Child, Preschool ; China ; Drowning ; Female ; Heart Defects, Congenital ; Humans ; Infant ; Infant Death ; Infant Mortality ; Pneumonia ; Pregnancy ; Premature Birth ; Rural Population ; Sepsis ; Suburban Population ; Urban Population

Objective To study the trend of accidental death among children under 5 years of age in Beijing.Methods Cases of death in children under 5 years old in Beijing,during 2003-2012 were collected,to analyze the strength and trends of accidental death,main causes of accident and its epidemiological features. Results The overall accidental death was 8.47% of all death among children under 5 years old in Beijing during 2003-2012. During these 10 years,data showed a downward trend on the mortality rates on injuries(P<0.05),especially on drowning,in 1-4 year old and rural children under five years of age. In 2012,the accidental death rate of children under five was 6.37/105. The 5 main causes of accidental deaths were suffocation,traffic accident,falling,poisoning and drowning,in order of size. The main causes of death were suffocation in the 0-1 year group, suffocation and traffic accident in the 1-2 year group and traffic accident in the 3-4 year group. The proportion of deaths due to traffic accident increased gradually with age. Area distribution showed that accidental deaths mainly happened in rural area(52.19%),with two main types as traffic accident and suffocation. Conclusion The reduction of accidental death rate among children under 5 years old in Beijing mainly was caused by the decline of accident mortality in 1-4 year old and children in the rural areas. Our data suggested that the focus in reducing the accidental death rate among children under 5 years old in Beijing should target on the prevention of infant suffocation and traffic accidents among the 1-4 year old,with rural areas in particular.