Objective: To investigate the rates on prevalence, awareness, treatment and control of hypertension in population older than 15 years of age in Beijing, 2013-2014. Methods: A cross-sectional survey was conducted in Beijing between 2013-2014. Stratified multistage random sampling method was used to select representative sample of 13 057 Chinese individuals aged over 15 years, from the general population. Blood pressure was measured for three readings at sitting position after resting for at least five minutes with an average reading recorded. A standardized structured questionnaire was developed to collect history of hypertension and antihypertensive treatment. Results: A total of 4 663 community residents aged over 15 years were hypertensive among the 13 057 individuals, with the standardized prevalence rate as 32.7%, in Beijing area. The age-standardized prevalence rates of hypertension appeared 34.6% in men and 30.8% in women. The age-and sexstandardized prevalence of hypertension rates were 33.3% in urban and 24.6% in rural areas. The prevalence of hypertension increased with age and appeared higher in men than in women, in urban than in rural residents. Among the hypertensive patients, rates of awareness, treatment and control were 66.8%, 64.6% and 31.6%, respectively. Conclusion: High prevalence of hypertension with low rates on awareness and treatment and control, appeared in the general population of Beijing. Related strategies should be developed regarding prevention, control and management of hypertension, to reduce the burden of this disease.
Adolescent ; Adult ; Age Distribution ; Aged ; Antihypertensive Agents/therapeutic use* ; Asian People/statistics & numerical data* ; Awareness ; Blood Pressure ; Blood Pressure Determination ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Hypertension/epidemiology* ; Male ; Middle Aged ; Prevalence ; Rural Population ; Sex Distribution ; Surveys and Questionnaires ; Urban Population ; Young Adult

Objective: To investigate the effect of heterogeneous nuclear ribonucleoprotein K (hnRNP K) and its interaction with human papillomavirus 16 (HPV16) on cervical intraepithelial neoplasia (CIN). Methods: The participants included 67 women with normal cervix (NC), 69 women with CINⅠ and 68 women with CINⅡ/Ⅲ in a community cohort of pathologically diagnosed women established in Jiexiu of Shanxi province, from June 2014 to June 2015. A structured questionnaire was used to collect the demographic data of the subjects and the related factors of cervical lesions. Cervical exfoliated cells and cervical tissues from biopsy or surgery were selected. The infection status of HPV16 was detected by flow-through hybridization. The protein expression levels of hnRNP K were evaluated by Western blot. SPSS 23.0 software was used to collate and analyze the data. To study the differences in demographic characteristics, related factors, hnRNP K protein and HPV16 infection among NC, CINⅠand CINⅡ/Ⅲgroups, χ(2) test, trend χ(2) test, and Kruskal-Wallis H test were conducted. Multiple comparisons of hnRNP K protein in three groups were completed by using the Bonferroni method. The OR and its 95%CI of hnRNP K, HPV16 and CIN were calculated by using the unconditional logistic regression models. Two-way interactions between hnRNP K protein and HPV16 infection on CIN were analyzed by using additive model and related indicators. Results: HPV16 infection rates were 10.4% in women with normal cervix, 14.5% in women with CINⅠ and 41.2% in women with CINⅡ/Ⅲ, respectively. The differences among three groups were significant (P<0.001). Moreover, the infection rates of HPV16 gradually increased with the increasing severity of CIN (trend χ(2)=18.512, P<0.001). The differences in protein expression of hnRNP K among three groups were significant (H=48.138, P<0.001) and the expressionincreased with the development of cervical lesionss (trend χ(2)=21.765, P<0.001). Results from the interaction analysis indicated that there were additive effects between high expression of hnRNP K protein and HPV16 in CINⅡ/Ⅲ group compared with normal group (API=0.639, 95%CI: 0.083-1.196). In contrast, no such additive effect was found in CINⅠ group. Conclusions: HPV16 infection and over-expression of hnRNP K protein were associated with the increased risk of cervical intraepithelial neoplasia. There might be interaction between hnRNP K protein overexpression and HPV16 infection existed on the progress of CINⅡ/Ⅲ.
Case-Control Studies ; Disease Progression ; Female ; Gene Expression Regulation, Neoplastic ; Heterogeneous-Nuclear Ribonucleoprotein K/metabolism* ; Human papillomavirus 16 ; Humans ; Papillomavirus Infections ; Uterine Cervical Neoplasms/virology* ; Uterine Cervical Dysplasia/virology*

Objective: To analyze the characteristics of super-antigen (SAg) of group A Streptococcus pyogenes (GAS), isolated from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. Methods: Throat swab specimens from patients with scarlet fever or pharyngeal infections were collected and tested for GAS. Eleven currently known SAg genes including SpeA, speC, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa were tested by real-time PCR while M protein genes (emm genes) were amplified and sequenced by PCR. Results: A total of 377 GAS were isolated from 6 801 throat swab specimens, with the positive rate as 5.5%. There were obvious changes noticed among speC, speG, speH and speK in three years. A total of 45 SAg genes profiles were observed, according to the SAgs inclusion. There were significant differences appeared in the frequencies among two of the highest SAg genes profiles between emm1 and emm12 strains (χ(2)=38.196, P<0.001; χ(2)=72.310, P<0.001). There also appeared significant differences in the frequencies of speA, speH, speI and speJ between emm1 and emm12 strains (χ(2)=146.154, P<0.001; χ(2)=52.31, P<0.001; χ(2)=58.43, P<0.001; χ(2)=144.70, P<0.001). Conclusions: Obvious changes were noticed among SAg genes including speC, speG, speH and speK from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. SAg genes including speA, speH, speI and speJ appeared to be associated with the emm 1 and emm 12 strains. More kinds of SAg genes profiles were isolated form GAS but with no significant differences seen in the main SAg genes profiles, during the epidemic period.
Antigens, Bacterial/genetics* ; Bacterial Outer Membrane Proteins ; Bacterial Proteins ; Beijing/epidemiology* ; China/epidemiology* ; Exotoxins ; Female ; Humans ; Membrane Proteins ; Pharyngitis/microbiology* ; Pharynx/microbiology* ; Pregnancy ; Pregnancy Complications, Infectious/microbiology* ; Real-Time Polymerase Chain Reaction ; Scarlet Fever/microbiology* ; Streptococcal Infections ; Streptococcus pyogenes/isolation & purification* ; Superantigens/genetics*

Objective: To evaluate the effects of polycyclic aromatic hydrocarbons (PAHs) and high risk human papillomavirus (HR-HPV) infection and their interaction on the progression of cervical intraepithelial neoplasia. Methods: A total of 486 patients, including 208 women with normal cervix (NC), 154 patients with low-grade cervical intraepithelial neoplasm (CINⅠ), 124 patients with high-grade cervical intraepithelial neoplasm (CINⅡ/Ⅲ), were selected from the cervical lesions cohort from June to December, 2014. HR-HPV was detected by using flow-through hybridization technology and the urine concentration of 1-hydroxypyrene (1-OHP) was detected with high performance liquid chromatography. By using software SPSS 22.0, the χ(2) test, trend χ(2) test, Kruskal-Wallis H test, Nemenyi rank test and Spearman rank correlation analysis were performed. And the interaction effects were evaluated by additive model. Results: The HR-HPV infection rates in NC, CINⅠ and CINⅡ/Ⅲ groups were 27.9%, 37.0% and 58.9%, respectively. The urine concentrations of 1-OHP (μmol/molCr) were 0.07±0.09, 0.11±0.10 and 0.17±0.15, respectively. With increasing severity of the cervical lesions, the HR-HPV infection rate gradually increased (trend χ(2)=29.89, P<0.001) and the high exposure rate of PAHs gradually increased (trend χ(2)=27.94, P<0.001). HR-HPV infection was positively correlated with 1-OHP exposure (r=0.680, P<0.001). There was a positive additive interaction between HPV infection and PAHs exposure in CIN Ⅱ/Ⅲ group, but it was not found in CIN Ⅰ group. Conclusion: Both HR-HPV infection and high exposure of PAHs might increase the risk of cervical intraepithelial neoplasm, and might have a synergistic effect on the progression of high-grade cervical intraepithelial neoplasia.
Case-Control Studies ; Cohort Studies ; Disease Progression ; Female ; Humans ; Papillomaviridae/isolation & purification* ; Papillomavirus Infections/virology* ; Polycyclic Aromatic Hydrocarbons/pharmacology* ; Pyrenes/urine* ; Severity of Illness Index ; Uterine Cervical Dysplasia/virology* ; Uterine Cervical Neoplasms/virology*

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants ; Air Pollution/statistics & numerical data* ; China ; Databases, Factual ; Emergency Service, Hospital/statistics & numerical data* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Particulate Matter/toxicity* ; Time Factors