Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

A new strategy to determine whose cholesterol to measure for primary prevention of cardiovascular disease: a modelling study using UK and Chinese data. ; 設計並評估一個新的心血管初級預防中使用的膽固醇篩查模型: 中英代表性人群模型研究 ; She ji bing ping gu yi ge xin de xin xue guan chu ji yu fang zhong shi yong de dan gu chun shai cha mo xing: Zhong Ying dai biao xing ren qun mo xing yan jiu

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Contributors:
      Hu, Xuefeng; Chinese University of Hong Kong Graduate School. Division of Public Health.
    • Publication Date:
      2012
    • Collection:
      The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
    • Abstract:
      目的:針對心血管初級預防,世界各國均推薦某一年齡段人群全部測量膽固醇以估算心血管病發病風險。此舉耗費高且非必須,本研究旨在建立並驗證一個新型的选择性膽固醇篩查模型,用以篩查需藥物治療之高危人群,并在成本效益方面與其它篩查模型相比較。 ; 方法:本模型具體采用兩步法:首先利用一個足夠高的假設膽固醇值代入心血管病風險預測方程,用以系統性的高估絶大多數人的心血管病風險;其次只有假設心血管病風險高於推薦治療閾值時,該個體才需要測量膽固醇,並進行實際心血管病風險分析。 ; 英国健康调查和中国营养与健康调查是本次研究的合适数据。我們首先探索最優的假設膽固醇值,尋找到最後膽固醇值之後,我們將繼續測試我們的新型膽固醇篩查模型,在不同的治療閾值下,表現是否穩定。我們以靈敏度,特異度和徐篩查人群為指標,比較我們模型與全民篩查模型和英國NICE 選擇篩查模型相比較。之後我們估算在中英人群中應用該篩查模型,所需耗費的成本和可預防心血管事件數。 ; 结果:與全名篩查模型相比,我們的模型靈敏度相若但可以節省80%左右的篩查費用。模型的靈敏度主要取決於所採用的假設膽固醇值,與所用風險預測方程,治療閾值和人群心血管風險分佈無關。當以均數加2 倍標準差作為假設膽固醇值時,靈敏度可達到97.5%左右,特異度可以達到90%左右,符合預期。模型應用於中國人群得到的結果類似。值得註意的是,在中國人群中,即使不測量膽固醇,模型靈敏度亦接近95%。此外,將膽固醇篩查項目限制于男性50-84歲,女性60-84 歲年齡段可以進一步減少篩檢費用。在人群影響方面,我們模型可預防心血管事件數比全名篩查模型略少,但成本大大降低。英國NICE 模型適用於某些特定情況,但並非全部。 ; 結論:我們的新型篩查模型靈敏度與全民篩查模型相若,但可以節省大量篩查費用。在资源匮乏地区,可考虑在某一特定年龄段运用我们的模型已达到进一步减少费用的效果。如果本研究结果得到进一步数据证实,對於中國人群而言,膽固醇測量可能並非心血管風險評估所必須。 ; Objectives ; Since the mid 1990s, most guidelines on primary prevention of cardiovascular disease (CVD) have recommended regular cholesterol measurement for all adults or those above a certain age (which is known as mass screening). Cholesterol measurement comprises a large cost of CVD prevention and is not necessarily required in those who do not need drug intervention. In order to reduce this cost, we have developed a new selective cholesterol screening model in order to determine whose cholesterol should be measured for drug prevention. The model was evaluated and compared with other widely adopted models in basic model performance as well as cost effectiveness. ; Methods ; The new model has two steps. In the first step, we purposely over-estimated the majority of respondents’ CVD risk by substituting a sufficiently high hypothetical cholesterol value in the risk estimation. We then recommend cholesterol measurement only to those with the estimated CVD risk above a predetermined risk threshold for drug treatment. In the second step, the CVD risk is re-estimated based on the individual’s real cholesterol consentration. Those with a risk above the treatment threshold are ...
    • File Description:
      electronic resource; remote; 1 online resource (xix, 121 leaves) : ill. (some col.)
    • Relation:
      cuhk:328440; http://library.cuhk.edu.hk/record=b5549392
    • Online Access:
      http://library.cuhk.edu.hk/record=b5549392
      https://repository.lib.cuhk.edu.hk/en/item/cuhk-328440
    • Rights:
      Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
    • Accession Number:
      edsbas.809F2348