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贺 冰, 刘 志, 沈 鹏, 孙 烨, 陈 彬, 詹 思, 林 鸿. [Epidemiological study on the incidence of inflammatory bowel disease in Yinzhou District, Ningbo City from 2011 to 2020]. Beijing Da Xue Xue Bao Yi Xue Ban 2022; 54:511-519. [PMID: 35701129 PMCID: PMC9197710 DOI: 10.19723/j.issn.1671-167x.2022.03.017] [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] [Received: 11/23/2021] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To describe the distribution characteristics of inflammatory bowel disease among permanent residents in Yinzhou District, Ningbo City, and to understand the disease burden and development trend of inflammatory bowel disease in this area. METHODS Using the retrospective cohort design, we collected the registration information of all permanent residents in the residents' health files of the Yinzhou Regional Health Information Platform from 2010 to 2020, and used electronic medical records to follow up their inflammatory bowel disease visits. A one-year wash-out period was set, and the patients who were diagnosed with the primary diagnosis for the first time after one year of registration were re-garded as new cases. The incidence density and 95% confidence interval (CI) of inflammatory bowel disease were estimated by Poisson distribution. RESULTS From 2011 to 2020, a total of 1 496 427 permanent residents in Yinzhou District were included, of which 729 996 were male (48.78%). The total follow-up person-years were 8 081 030.82, and the median follow-up person-years were 5.41 [interquartile range (IQR): 5.29]. During the study period, there were 1 217 new cases of inflammatory bowel disease, of which males (624 cases, 51.27%) were more than females (593 cases, 48.73%). The total incidence density was 15.06/100 000 person-years (95%CI: 14.23, 15.93). Among all new cases, there were 1 106 cases (90.88%) of ulcerative colitis, with an incidence density of 13.69 per 100 000 person-years (95%CI: 12.89, 14.52); 70 cases (5.75%) of Crohn's disease, with an incidence density of 0.87 per 100 000 person-years (95%CI: 0.68, 1.09); and 41 cases (3.37%) of indeterminate colitis, with an incidence density of 0.51 per 100 000 person-years (95%CI: 0.36, 0.69). The median age of onset of ulcerative colitis was 50.82 years old (IQR: 18.77), with the highest proportion (15.01%) in the 45-49 years group. The incidence density of ulcerative colitis gradually increased with age, reaching a relatively high level in the 45-49 years group (20.53/100 000 person-years; 95%CI: 17.63, 23.78), followed by a slight increase. And the incidence density in the 65-69 years group was the highest (25.44/100 000 person-years; 95%CI: 20.85, 30.75), with a rapid decrease in the 75-79 years group. The median age of onset of Crohn's disease was 44.34 years (IQR: 33.41), with the highest proportion (12.86%) in the 25-29 years group. Due to the small number of new cases of Crohn's disease, the age distribution fluctuated greatly, with peaks both in young and old people. From 2011 to 2020, the incidence density of inflammatory bowel disease in Yinzhou District was at a low level from 2011 to 2013, and showed a rapid upward trend from 2014 to 2016, reaching a peak of 24.62 per 100 000 person-years in 2016 (95%CI: 21.31, 28.30), and slightly decreased in 2017-2020. CONCLUSION The incidence density of inflammatory bowel disease in Yinzhou District from 2011 to 2020 was at a relatively high level, and medical institutions and health departments need to pay attention to the burden of disease caused by it.
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Affiliation(s)
- 冰洁 贺
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 志科 刘
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 鹏 沈
- 鄞州区疾病预防控制中心,浙江宁波 315199Yinzhou District Center for Disease Control and Prevention, Ningbo 315199, Zhejiang, China
| | - 烨祥 孙
- 鄞州区疾病预防控制中心,浙江宁波 315199Yinzhou District Center for Disease Control and Prevention, Ningbo 315199, Zhejiang, China
| | - 彬 陈
- 宁波市肛肠医院,浙江宁波 315048Ningbo Anorectal Hospital, Ningbo 315048, Zhejiang, China
| | - 思延 詹
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- 北京大学人工智能研究院,北京 100191Institute for Artificial Intelligence, Peking University, Beijing 100191, China
| | - 鸿波 林
- 鄞州区疾病预防控制中心,浙江宁波 315199Yinzhou District Center for Disease Control and Prevention, Ningbo 315199, Zhejiang, China
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王 佳, 刘 秋, 张 明, 巩 超, 刘 舒, 陈 暐, 沈 鹏, 林 鸿, 高 培, 唐 迅. [Effectiveness of different screening strategies for type 2 diabete on preventing cardiovascular diseases in a community-based Chinese population using a decision-analytic Markov model]. Beijing Da Xue Xue Bao Yi Xue Ban 2022; 54:450-457. [PMID: 35701121 PMCID: PMC9197700 DOI: 10.19723/j.issn.1671-167x.2022.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To evaluate the effectiveness of different screening strategies for type 2 diabetes to prevent cardiovascular disease in a community-based Chinese population from economically developed areas based on the Chinese electronic health records research in Yinzhou (CHERRY) study. METHODS A Markov model was used to simulate different systematic diabetes screening strategies, including: (1) screening among Chinese adults aged 40-70 years recommended by the 2020 Chinese Guideline for the prevention and Treatment of Type 2 Diabetes (Strategy 1); (2) screening among Chinese adults aged 35 to 70 years recommended by the 2022 American Diabetes Association Standard of Medical Care in Diabetes (Strategy 2); and (3) screening among Chinese adults aged 35-70 years with overweight or obesity recommended by the 2021 United States Preventive Services Task Force Recommendation Statement on Screening for Prediabetes and Type 2 Diabetes (Strategy 3). According to the guidelines, individuals who were screened positively (fasting plasma glucose ≥ 7.0 mmol/L) would be introduced to intensive glycemic targets management (glycated hemoglobin < 7.0%).The Markov model simulated different screening scenarios for ten years (cycles) with parameters mainly from the CHERRY study or published literature. Number of cardiovascular disease events or deaths could be prevented and number needed to screen (NNS) were calculated to compare the effectiveness of the different strategies. One-way sensitivity analysis on the sensitivity of screening methods and probabilistic sensitivity analysis on uncertainties of diabetes incidence, the sensitivity of screening methods, and intensive glycemic management effects were conducted. RESULTS Totally 289 245 Chinese adults aged 35-70 years without cardiovascular diseases or diagnosed diabetes at baseline were enrolled. In terms of the number of cardiovascular disease events could be prevented, Strategy 1 for systematic diabetes screening among the adults aged 35-70 years was 222 (95%UI: 180-264), Strategy 2 for systematic diabetes screening among the adults aged 40-70 years was 227 (95%UI: 185-271), and Strategy 3 for systematic diabetes screening among the adults aged 35-70 years with obesity or overweight (body mass index ≥ 24 kg/m2) was 131 (95%UI: 98-164), compared with opportunistic screening. NNS per cardiovascular disease event for the strategies 1, 2 and 3 were 1 184 (95%UI: 994-1 456), 1 274 (95%UI: 1 067-1 564) and 814 (95%UI: 649-1 091), respectively. Compared with Strategy 1, NNS per cardiovascular disease event for Strategy 2 increased by 90 (95%UI: -197-381) with similar effectiveness of cardiovascular prevention; however, NNS per cardiovascular disease event for Strategy 3 was reduced by 460 (95%UI: 185-724) in contrast to the Strategy 2, suggesting that the Strategy 3 was more efficient. The results were consistent in multiple sensitivity analyses. CONCLUSION Systematic screening for diabetes based on the latest guidelines in economically developed areas of China can reduce cardiovascular events and deaths. However, merely lowering the starting age of screening from 40 to 35 years seems ineffective for preventing cardiovascular disease, while screening strategy for Chinese adults aged 35-70 years with overweight or obesity is recommended to improve efficiency.
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Affiliation(s)
- 佳敏 王
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 秋萍 刘
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 明露 张
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 超 巩
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 舒丹 刘
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 暐烨 陈
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 鹏 沈
- 宁波市鄞州区疾病预防控制中心, 浙江宁波 3151011Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 鸿波 林
- 宁波市鄞州区疾病预防控制中心, 浙江宁波 3151011Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 培 高
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- 北京大学临床研究所真实世界证据评价中心, 北京 100191Center for Real-World Evidence Evaluation, Clinical Research Institute, Peking University, Beijing 100191, China
| | - 迅 唐
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 10019Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
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巩 超, 刘 秋, 王 佳, 刘 晓, 张 明, 杨 瀚, 沈 鹏, 林 鸿, 唐 迅, 高 培. [Effectiveness of statin treatment strategies for primary prevention of cardiovascular diseases in a community-based Chinese population: A decision-analytic Markov model]. Beijing Da Xue Xue Bao Yi Xue Ban 2022; 54:443-449. [PMID: 35701120 PMCID: PMC9197709 DOI: 10.19723/j.issn.1671-167x.2022.03.008] [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] [Received: 02/07/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To evaluate the effectiveness of statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases by the Western guidelines in a community-based Chinese population from economically developed areas using data from the Chinese electronic health records research in Yinzhou (CHERRY) study. METHODS A Markov model was used to evaluate the effectiveness of the following statin treatment strategies, including: (1) usual care without cardiovascular risk assessment(Strategy 0); (2) using the World Health Organization (WHO) non-laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 1); (3) using the WHO laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 2); and (4) using the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) model with statin treatment for high-risk group (risk ≥ 10%, Strategy 3). According to the guidelines, adults in the medium-risk group received lifestyle intervention, and adults in the high-risk group received life-style intervention and statin treatment under these strategies. The Markov model simulated different strategies for ten years (cycles) using parameters from the CHERRY study, published data, meta-analyses and systematic reviews for Chinese. The number of cardiovascular events or deaths, as well as the number need to treat (NNT) with statin per cardiovascular event or death prevented, were calculated to compare the effectiveness of different strategies. One-way sensitivity analysis on the uncertainty of incidence rate of cardiovascular diseases, and probabilistic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted. RESULTS Totally 225 811 Chinese adults aged 40-79 years without cardiovascular diseases at baseline were enrolled. In contrast to the usual care without risk assessment-based statin treatment strategy, Strategy 1 using the WHO non-laboratory-based risk charts could prevent 3 482 [95% uncertainty interval (UI): 2 110-4 661] cardiovascular events, Strategy 2 using the WHO laboratory-based risk charts could prevent 3 685 (95%UI: 2 255-4 912) events, and Strategy 3 using the China-PAR model could prevent 3 895 (95%UI: 2 396-5 181) events. NNTs with statin per cardiovascular event prevented were 22 (95%UI: 14-54), 21 (95%UI: 14-52), and 27 (95%UI: 17-67), respectively. Strategy 3 could prevent more cardiovascular events, while Strategies 1 and 2 required fewer numbers need to treat with statin per cardiovascular event prevented. The results were consistent in the sensitivity analyses. CONCLUSION The statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases recommended by the Western guidelines could achieve substantive health benefits in adults from developed areas of China. Using the China-PAR model for cardiovascular risk assessment could prevent more cardiovascular diseases while using the WHO risk charts seems more efficient.
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Affiliation(s)
- 超 巩
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 秋萍 刘
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 佳敏 王
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 晓非 刘
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 明露 张
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 瀚 杨
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 鹏 沈
- 宁波市鄞州区疾病预防控制中心, 浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 鸿波 林
- 宁波市鄞州区疾病预防控制中心, 浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 迅 唐
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 培 高
- 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- 北京大学临床研究所真实世界证据评价中心, 北京 100191Center of Real-World Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
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刘 秋, 陈 汐, 王 佳, 刘 晓, 司 亚, 梁 靖, 沈 鹏, 林 鸿, 唐 迅, 高 培. [Effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population: A decision-analytic Markov model]. Beijing Da Xue Xue Bao Yi Xue Ban 2021; 53:460-466. [PMID: 34145845 PMCID: PMC8220034 DOI: 10.19723/j.issn.1671-167x.2021.03.004] [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] [Received: 02/27/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To evaluate the potential effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population from economically developed area of China. METHODS Totally 202 179 adults aged 40 to 74 years without cardiovascular diseases at baseline (January 1, 2010) were enrolled from the Chinese electronic health records research in Yinzhou (CHERRY) study. Three scenarios were considered: the screening strategy based on risk charts recommended by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases in Chinese adults aged 40-74 years (Strategy 1); the screening strategy based on the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) models recommended by the 2019 Guideline on the assessment and management of cardiovascular risk in China in Chinese adults aged 40-74 years (Strategy 2); and the screening strategy based on the China-PAR models in Chinese adults aged 50-74 years (Strategy 3). According to the guidelines, individuals who were classified into medium- or high-risk groups after cardiovascular risk assessment by the corresponding strategies would be introduced to lifestyle intervention, while high-risk population would take medication in addition. Markov model was used to simulate different screening scenarios for 10 years (cycles), using parameters mainly from the CHERRY study, as well as published data, Meta-analyses and systematic reviews for Chinese populations. The life year gained, quality-adjusted life year (QALY) gained, number of cardiovascular disease events/deaths could be prevented and number needed to be screened (NNS) were calculated to compare the effectiveness between the different strategies. One-way sensitivity analysis on uncertainty of cardiovascular disease incidence rate and probabilistic sensitivity analysis on uncertainty of distributions for the hazard ratios were conducted. RESULTS Compared with non-screening strategy, QALYs gained were 1 433 [95% uncertainty interval (UI): 969-1 831], 1 401 (95%UI: 936-1 807), and 716 (95%UI: 265-1 111) for the Strategies 1, 2, and 3; and the NNS per QALY in the above strategies were 141 (95%UI: 110-209), 144 (95%UI: 112-216), and 198 (95%UI: 127-529), respectively. The Strategies 1 and 2 based on different guidelines showed similar effectiveness, while more benefits were found for screening using China-PAR models in adults aged 40-74 years than those aged 50-74 years. The results were consistent in the sensitivity analyses. CONCLUSION Screening for cardiovascular diseases in Chinese adults aged above 40 years seems effective in coastal developed areas of China, and the different screening strategies based on risk charts by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases or China-PAR models by the 2019 Guideline on the assessment and management of cardiovascular risk in China may have similar effectiveness.
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Affiliation(s)
- 秋萍 刘
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 汐瑾 陈
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
| | - 佳敏 王
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 晓非 刘
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
| | - 亚琴 司
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 靖媛 梁
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 鹏 沈
- 宁波市鄞州区疾病预防控制中心,浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 鸿波 林
- 宁波市鄞州区疾病预防控制中心,浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 迅 唐
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 培 高
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
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刘 秋, 陈 汐, 王 佳, 刘 晓, 司 亚, 梁 靖, 沈 鹏, 林 鸿, 唐 迅, 高 培. [Effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population: A decision-analytic Markov model]. Beijing Da Xue Xue Bao Yi Xue Ban 2021; 53:460-466. [PMID: 34145845 PMCID: PMC8220034] [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] [Received: 02/27/2021] [Indexed: 11/08/2023]
Abstract
OBJECTIVE To evaluate the potential effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population from economically developed area of China. METHODS Totally 202 179 adults aged 40 to 74 years without cardiovascular diseases at baseline (January 1, 2010) were enrolled from the Chinese electronic health records research in Yinzhou (CHERRY) study. Three scenarios were considered: the screening strategy based on risk charts recommended by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases in Chinese adults aged 40-74 years (Strategy 1); the screening strategy based on the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) models recommended by the 2019 Guideline on the assessment and management of cardiovascular risk in China in Chinese adults aged 40-74 years (Strategy 2); and the screening strategy based on the China-PAR models in Chinese adults aged 50-74 years (Strategy 3). According to the guidelines, individuals who were classified into medium- or high-risk groups after cardiovascular risk assessment by the corresponding strategies would be introduced to lifestyle intervention, while high-risk population would take medication in addition. Markov model was used to simulate different screening scenarios for 10 years (cycles), using parameters mainly from the CHERRY study, as well as published data, Meta-analyses and systematic reviews for Chinese populations. The life year gained, quality-adjusted life year (QALY) gained, number of cardiovascular disease events/deaths could be prevented and number needed to be screened (NNS) were calculated to compare the effectiveness between the different strategies. One-way sensitivity analysis on uncertainty of cardiovascular disease incidence rate and probabilistic sensitivity analysis on uncertainty of distributions for the hazard ratios were conducted. RESULTS Compared with non-screening strategy, QALYs gained were 1 433 [95% uncertainty interval (UI): 969-1 831], 1 401 (95%UI: 936-1 807), and 716 (95%UI: 265-1 111) for the Strategies 1, 2, and 3; and the NNS per QALY in the above strategies were 141 (95%UI: 110-209), 144 (95%UI: 112-216), and 198 (95%UI: 127-529), respectively. The Strategies 1 and 2 based on different guidelines showed similar effectiveness, while more benefits were found for screening using China-PAR models in adults aged 40-74 years than those aged 50-74 years. The results were consistent in the sensitivity analyses. CONCLUSION Screening for cardiovascular diseases in Chinese adults aged above 40 years seems effective in coastal developed areas of China, and the different screening strategies based on risk charts by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases or China-PAR models by the 2019 Guideline on the assessment and management of cardiovascular risk in China may have similar effectiveness.
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Affiliation(s)
- 秋萍 刘
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 汐瑾 陈
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
| | - 佳敏 王
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 晓非 刘
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
| | - 亚琴 司
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 靖媛 梁
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 鹏 沈
- 宁波市鄞州区疾病预防控制中心,浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 鸿波 林
- 宁波市鄞州区疾病预防控制中心,浙江宁波 315101Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - 迅 唐
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - 培 高
- 北京大学公共卫生学院流行病与卫生统计学系,北京 100191Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- 北京大学临床研究所真实世界证据评价中心,北京 100191Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
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