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Diabetes Care:CAC可預(yù)測(cè)糖尿病患者心血管疾病風(fēng)險(xiǎn)

2013-01-07 09:43 閱讀:2719 來(lái)源:中國(guó)腎國(guó) 責(zé)任編輯:秩名
[導(dǎo)讀] "我們的研究結(jié)果挑戰(zhàn)了公認(rèn)的醫(yī)學(xué)看法,即所有糖尿病患者心血管風(fēng)險(xiǎn)相同。CAC是預(yù)測(cè)不同風(fēng)險(xiǎn)水平的關(guān)鍵,"Donald Bowden博士,目前醫(yī)學(xué)界的指南推薦將所有糖尿病患者視為心血管疾病高風(fēng)險(xiǎn)人群,但維克森林浸信會(huì)的這項(xiàng)研究發(fā)現(xiàn),CAC可以識(shí)別致命性心血管疾病

 

  2型糖尿病患者患心血管疾病的風(fēng)險(xiǎn)是非糖尿病人群的兩到四倍。冠狀動(dòng)脈鈣化(CAC)測(cè)試有助醫(yī)生預(yù)測(cè)哪些糖尿病患者心臟疾病的風(fēng)險(xiǎn)最大,根據(jù)維克森林大學(xué)浸信會(huì)醫(yī)療中心的一項(xiàng)研究。

  目前醫(yī)學(xué)界的指南推薦將所有糖尿病患者視為心血管疾病高風(fēng)險(xiǎn)人群,但維克森林浸信會(huì)的這項(xiàng)研究發(fā)現(xiàn),CAC可以識(shí)別致命性心血管疾病高風(fēng)險(xiǎn)以及低風(fēng)險(xiǎn)的糖尿病患者。

  "我們的研究結(jié)果挑戰(zhàn)了公認(rèn)的醫(yī)學(xué)看法,即所有糖尿病患者心血管風(fēng)險(xiǎn)相同。CAC是預(yù)測(cè)不同風(fēng)險(xiǎn)水平的關(guān)鍵,"Donald Bowden博士,維克森林大學(xué)浸信會(huì)生物化學(xué)教授和資深作者。研究結(jié)果在線發(fā)表于十二月號(hào)刊《糖尿病護(hù)理》(Diabetes Care)雜志。

  研究總共納入1123名34-86歲2型糖尿病患者,平均隨訪7.4年。這項(xiàng)研究的受試者來(lái)自北卡羅來(lái)納州西部的診所。

  "高風(fēng)險(xiǎn)人群死于心血管疾病的風(fēng)險(xiǎn)是低風(fēng)險(xiǎn)人群的11倍。更精確的診斷風(fēng)險(xiǎn)水平可幫助醫(yī)生提供更有效的治療,并有望改善的結(jié)果,"研究人員說(shuō)。

  Coronary Calcium Score Predicts Cardiovascular Mortality in Diabetes

  Subhashish Agarwal, Amanda J. Cox, David M. Herringto,et al

  Abstract

  OBJECTIVE

  In type 2 diabetes mellitus (T2DM), it remains unclear whether coronary artery calcium (CAC) provides additional information about cardiovascular disease (CVD) mortality beyond the Framingham Risk Score (FRS) factors.

  RESEARCH DESIGN AND METHODS

  A total of 1,123 T2DM participants, ages 34–86 years, in the Diabetes Heart Study followed up for an average of 7.4 years were separated using baseline computed tomography scans of CAC (0–9, 10–99, 100–299, 300–999, and ≥1,000).

  Logistic regression was performed to examine the association between CAC and CVD mortality adjusting for FRS.

  Areas under the curve (AUC) with and without CAC were compared. Net reclassification improvement (NRI) compared FRS (model 1) versus FRS+CAC (model 2) using 7.4-year CVD mortality risk categories 0% to <7%, 7% to <20%, and ≥20%.

  RESULTS

  Overall, 8% of participants died of cardiovascular causes during follow-up. In multivariate analysis, the odds ratios (95% CI) for CVD mortality using CAC 0–9 as the reference group were, CAC 10–99: 2.93 (0.74–19.55); CAC 100–299: 3.17 (0.70–22.22); CAC 300–999: 4.41(1.15–29.00); and CAC ≥1,000: 11.23 (3.24–71.00). AUC (95% CI) without CAC was 0.70 (0.67–0.73), AUC with CAC was 0.75 (0.72–0.78), and NRI was 0.13 (0.07–0.19).

  CONCLUSIONS

  In T2DM, CAC predicts CVD mortality and meaningfully reclassifies participants, suggesting clinical utility as a risk stratification tool in a population already at increased CVD risk.


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