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Jia WP, Kou FY, Xu HL, Han K, Cao WZ, Wang SS, Song Y, Yang SS, Yan YF, Cao F, Xue WG, Wang YB, Meng WW, Liu M, He Y. [Cardiometabolic disease patterns among elderly patients with colorectal cancer in China]. Zhonghua Zhong Liu Za Zhi 2022; 44:173-177. [PMID: 35184462 DOI: 10.3760/cma.j.cn112152-20200227-00140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the distribution patterns of cardiometabolic diseases (CMD) in elderly patients with colorectal cancer, and provide a reference for the prevention and treatment of cardiovascular metabolic diseases in these patients. Methods: Clinical data of 3 894 elderly patients with colorectal cancer from January 2008 to March 2018 admitted in the Chinese PLA General Hospital were recruited and the incidence rate of CMD was retrospectively analyzed. The influence factors of elderly patients with colorectal cancer combined with CMD were analyzed by multivariate Logistic regression model. Results: The morbidity rate of CMD in elderly patients with colorectal cancer is 33.4% (1 301/3 894), among them, the morbidity rate of the male was 31.9% (768/2 409), and that of the female was 35.9% (533/1 485). There was not significant difference between these two sex (P=0.074). The morbidity rates of CMD in patients of 65-74 years, 75-84 years and ≥85 years were 30.6% (754/2 462), 37.0% (479/1 294) and 49.3% (68/138), respectively, with significant differences (P<0.001). Multiple Logistic regression analysis revealed that female (OR=1.213, 95%CI: 1.056-1.394), age (75-84 years group: OR=1.344, 95%CI: 1.164-1.552; ≥85 years group: OR=2.345, 95%CI: 1.651-3.331) and body mass index (BMI 18.5-24.9 kg/m(2) group: OR=1.319, 95%CI: 1.065-1.638; ≥25 kg/m(2) group: OR=2.041, 95%CI: 1.627-2.561) were independent risk factors for elderly colorectal cancer patients with CMD. Conclusion: The morbidity rate of CMD in elderly patients with colorectal cancer increases with age and it is urgent to strengthen multidisciplinary cooperation and develop reasonable treatment plans to extend the survival and life quality of these patients.
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Affiliation(s)
- W P Jia
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - F Y Kou
- Human Resources, Chinese PLA General Hospital, Beijing 100853, China
| | - H L Xu
- Big Data Center of Chinese PLA General Hospital, Beijing 100853, China
| | - K Han
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - W Z Cao
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - S S Wang
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Y Song
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - S S Yang
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Y F Yan
- Department of Endocrinology, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - F Cao
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - W G Xue
- Big Data Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y B Wang
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - W W Meng
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - M Liu
- Graduate School of Chinese PLA General Hospital, Beijing 100853, China
| | - Y He
- Institute of Geriatrics, State Key Geriatric Disease Research Center, Beijing Key Laboratory of Aging and Geriatrics, the Second Clinical Center, Chinese PLA General Hospital, Beijing 100853, China
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Wang SS, Yang SS, Jia WP, Cao WZ, Han K, Li J, Tai PG, Kou FY, Zhao YL, Zhu Q, Ning CX, Liu M, He Y. [Distribution characteristics of blood lipid profile in Hainan centenarians]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:80-87. [PMID: 33503701 DOI: 10.3760/cma.j.cn112338-20200424-00636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the prevalence of lipid profile and the influencing factors of dyslipidemia in centenarians in Hainan province, and provide basic data for the study of the lipid profile in centenarians. Methods: The data of this study were from the baseline data of China Hainan Centenarian Cohort Study from June 2014 to December 2016. A total of 1 002 centenarians were recruited. According to the guidelines for the prevention and treatment of dyslipidemia in Chinese adults in 2016, the prevalence of lipid profile were described and the prevalence of dyslipidemia with different clinical classifications were compared, and the main influencing factors were analyzed. Results: The median levels of TC, TG, LDL-C and HDL-C were 4.60 mmol/L, 1.05 mmol/L, 2.77 mmol/L and 1.41 mmol/L, respectively, in centenarians in Hainan. Blood lipid profile level was higher in females than in males. With the increase of BMI, TC, TG and LDL-C increased significantly, while HDL-C decreased significantly. The total prevalence of dyslipidemia was 19.1%. Smoking, BMI and area distribution were the main influencing factors of dyslipidemia. Conclusion: The prevalence of dyslipidemia in centenarians in Hainan was at a low level compared with other countries, and the blood lipid profile level was higher in females than in males.
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Affiliation(s)
- S S Wang
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
| | - S S Yang
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
| | - W P Jia
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
| | - W Z Cao
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
| | - K Han
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
| | - J Li
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China;Health Service Department, the Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - P G Tai
- Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - F Y Kou
- Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Y L Zhao
- Central Laboratory of Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China
| | - Q Zhu
- Central Laboratory of Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China
| | - C X Ning
- Central Laboratory of Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China
| | - M Liu
- Department of Statistics and Epidemiology, Graduate School, Chinese People's Liberation Army General Hospital,Beijing 100853,China
| | - Y He
- Institute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, State Key Laboratory of Kidney Disease, National Clinical Research Center for Geriatrics Diseases, Chinese People's Liberation Army General Hospital,Beijing 100853, China
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Song Y, Liu M, Jia WP, Wang SS, Cao WZ, Han K, Yang SS, Li J, Chen Z, He Y. [Epidemic characteristics and trend analysis of the COVID-19 in Hubei province]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:E053. [PMID: 32340091 DOI: 10.3760/cma.j.cn112338-20200321-00409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: By describing and analyzing the epidemic characteristics and trends of the attack rate, the crude mortality and relevant indexes in Hubei province during the pandemic of COVID-19 to provide comprehensive evaluations of the epidemic trends and the effects of intervention measures. Methods: Based on the case data reported in Hubei province during the COVID-19 epidemic, combined with the important time of major interventions and event, the cumulative attack rate, the sequential increase rate of new cases, baseline increase rate of new cases, the observation- confirmed case conversion rate, the cumulative crude mortality, the daily severe case rate, and the ratio of death to severe were used to describe and analyze the epidemic characteristics in different phases of the COVID-19 epidemic. Results: The epidemic experienced an outbreak phase from January 10 to February 3 with large amount of case reported, a peak phase from February 4 to February 19 with continuous increasing number of new cases and deaths, a platform phase from February 20 to March 3 with balanced diagnosis and treatment number, and a descending phase from March 4 to March 18 with decreased diagnosis and increased treatment number. Up to March 18, the cumulative attack rate of the COVID-19 epidemic in Hubei province increased from 0.03/10 000 on January 19 to 11.46/10 000, from 0.04/10 000 on January 10 to 45.13/10 000 in Wuhan city, and from 0.002/ 10 000 on January 20 to 3.70/ 10 000 in other areas of Hubei province other than Wuhan city. The increase rate of new cases fluctuated during the epidemic period and reached the highest at February 12 in Hubei province. The cumulative crude mortality in Hubei Province increased rapidly from 1.01% on January 19 to 5.13% on January 26, then decreased to 2.54% on February 13, and then slowly increased to 4.62% on March 18, and similar trend was also observed in Wuhan city. The daily severe rate in Hubei Province increased from 26.88% on January 27 to 34.27% on March 18. The ratio of death to severe decreased from 7.37% on January 23 to 0.35% on March 18. Conclusions: The epidemic cycle of COVID-19 in Hubei province proposed to be 60 days, which was about 1.76 times of the combination of the longest incubation period or isolation period (14 d) and the average hospitalization time of confirmed patients in Hubei province (20 d). It suggested that the major anti-epidemic decisions made in China were effective.
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Affiliation(s)
- Y Song
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - M Liu
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - W P Jia
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - S S Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - W Z Cao
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - K Han
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - S S Yang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - J Li
- The Fifth Medical Centre, Chinese People's Liberation Army General Hospital, Beijing 100039, China
| | - Z Chen
- The Fifth Medical Centre, Chinese People's Liberation Army General Hospital, Beijing 100039, China
| | - Y He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100853, China
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Luo SG, Chen SC, Cao WZ, Lin WH, Sheu YT, Kao CM. Application of γ-PGA as the primary carbon source to bioremediate a TCE-polluted aquifer: A pilot-scale study. Chemosphere 2019; 237:124449. [PMID: 31376698 DOI: 10.1016/j.chemosphere.2019.124449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 07/13/2019] [Accepted: 07/23/2019] [Indexed: 06/10/2023]
Abstract
The effectiveness of using gamma poly-glutamic acid (γ-PGA) as the primary carbon and nitrogen sources to bioremediate trichloroethene (TCE)-contaminated groundwater was studied in this pilot-scale study. γ-PGA (40 L) solution was injected into the aquifer via the injection well (IW) for substrate supplement. Groundwater samples were collected from monitor wells and IW and analyzed for TCE and its byproducts, geochemical indicators, dechlorinating bacteria, and microbial diversity periodically. Injected γ-PGA resulted in an increase in total organic carbon (TOC) (up to 9820 mg/L in IW), and the TOC biodegradation caused the formation of anaerobic conditions. Increased ammonia concentration (because of amine release from γ-PGA) resulted in the neutral condition in groundwater, which benefited the growth of Dehalococcoides. The negative zeta potential and micro-scale diameter of γ-PGA allowed its globule to distribute evenly within soil pores. Up to 93% of TCE removal was observed (TCE dropped from 0.14 to 0.01 mg/L) after 59 days of γ-PGA injection, and TCE dechlorination byproducts were also biodegraded subsequently. Next generation sequence (NGS) analyses were applied to determine the dominant bacterial communities. γ-PGA supplement developed reductive dechlorinating conditions and caused variations in microbial diversity and dominant bacterial species. The dominant four groups of bacterial communities including dechlorinating bacteria, vinyl chloride degrading bacteria, hydrogen producing bacteria, and carbon biodegrading bacteria.
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Affiliation(s)
- S G Luo
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan
| | - S C Chen
- Department of Life Sciences, National Central University, Chung-Li, Taiwan.
| | - W Z Cao
- College of the Environment and Ecology, Xiamen University, Xiamen, China
| | - W H Lin
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan
| | - Y T Sheu
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan
| | - C M Kao
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan.
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Lee TH, Cao WZ, Tsang DCW, Sheu YT, Shia KF, Kao CM. Emulsified polycolloid substrate biobarrier for benzene and petroleum-hydrocarbon plume containment and migration control - A field-scale study. Sci Total Environ 2019; 666:839-848. [PMID: 30818208 DOI: 10.1016/j.scitotenv.2019.02.160] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/10/2019] [Accepted: 02/10/2019] [Indexed: 05/06/2023]
Abstract
The objective of this field-scale study was to assess the effectiveness of applying an emulsified polycolloid substrate (EPS; containing cane molasses, soybean oil, and surfactants) biobarrier in the control and remediation of a petroleum-hydrocarbon plume in natural waters. An abandoned petrochemical manufacturing facility site was contaminated by benzene and other petroleum products due to a leakage from a storage tank. Because benzene is a petroleum hydrocarbon with a high migration ability, it was used as the target compound in the field-scale study. Batch partition and sorption experiment results indicated that the EPS to water partition coefficient for benzene was 232 mg/mg at 25 °C. This suggests that benzene had a higher sorption affinity to EPS, which decreased the benzene concentrations in groundwater. The EPS solution was pressure-injected into three remediation wells (RWs; 150 L EPS in 800 L groundwater). Groundwater samples were collected from an upgradient background well, two downgradient monitor wells (MWs), and the three RWs for analyses. EPS injection increased total organic carbon (TOC) concentrations (up to 786 mg/L) in groundwater, which also resulted in the formation of anaerobic conditions. An abrupt drop in benzene concentration (from 6.9 to below 0.04 mg/L) was observed after EPS supplementation in the RWs due to both sorption and biodegradation mechanisms. Results show that the EPS supplement increased total viable bacteria and enhanced bioremediation efficiency, which accounted for the observed decrease in benzene concentration. The first-order decay rate in RW1 increased from 0.003 to 0.023 d-1 after EPS application. Injection of EPS resulted in significant growth of indigenous bacteria, and 23 petroleum-hydrocarbon-degrading bacterial species were detected, which enhanced the in situ benzene biodegradation efficiency. Results demonstrate that the EPS biobarrier can effectively contain a petroleum-hydrocarbon plume and prevent its migration to downgradient areas, which reduces the immediate risk presented to downgradient receptors.
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Affiliation(s)
- T H Lee
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - W Z Cao
- College of the Environment and Ecology, Xiamen University, Xiamen, China
| | - D C W Tsang
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Y T Sheu
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - K F Shia
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - C M Kao
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan.
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