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降压与新发 2 型糖尿病风险:一项个体参与者数据荟萃分析。

Blood pressure lowering and risk of new-onset type 2 diabetes: an individual participant data meta-analysis.

机构信息

Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.

Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

出版信息

Lancet. 2021 Nov 13;398(10313):1803-1810. doi: 10.1016/S0140-6736(21)01920-6.

Abstract

BACKGROUND

Blood pressure lowering is an established strategy for preventing microvascular and macrovascular complications of diabetes, but its role in the prevention of diabetes itself is unclear. We aimed to examine this question using individual participant data from major randomised controlled trials.

METHODS

We performed a one-stage individual participant data meta-analysis, in which data were pooled to investigate the effect of blood pressure lowering per se on the risk of new-onset type 2 diabetes. An individual participant data network meta-analysis was used to investigate the differential effects of five major classes of antihypertensive drugs on the risk of new-onset type 2 diabetes. Overall, data from 22 studies conducted between 1973 and 2008, were obtained by the Blood Pressure Lowering Treatment Trialists' Collaboration (Oxford University, Oxford, UK). We included all primary and secondary prevention trials that used a specific class or classes of antihypertensive drugs versus placebo or other classes of blood pressure lowering medications that had at least 1000 persons-years of follow-up in each randomly allocated arm. Participants with a known diagnosis of diabetes at baseline and trials conducted in patients with prevalent diabetes were excluded. For the one-stage individual participant data meta-analysis we used stratified Cox proportional hazards model and for the individual participant data network meta-analysis we used logistic regression models to calculate the relative risk (RR) for drug class comparisons.

FINDINGS

145 939 participants (88 500 [60·6%] men and 57 429 [39·4%] women) from 19 randomised controlled trials were included in the one-stage individual participant data meta-analysis. 22 trials were included in the individual participant data network meta-analysis. After a median follow-up of 4·5 years (IQR 2·0), 9883 participants were diagnosed with new-onset type 2 diabetes. Systolic blood pressure reduction by 5 mm Hg reduced the risk of type 2 diabetes across all trials by 11% (hazard ratio 0·89 [95% CI 0·84-0·95]). Investigation of the effects of five major classes of antihypertensive drugs showed that in comparison to placebo, angiotensin-converting enzyme inhibitors (RR 0·84 [95% 0·76-0·93]) and angiotensin II receptor blockers (RR 0·84 [0·76-0·92]) reduced the risk of new-onset type 2 diabetes; however, the use of β blockers (RR 1·48 [1·27-1·72]) and thiazide diuretics (RR 1·20 [1·07-1·35]) increased this risk, and no material effect was found for calcium channel blockers (RR 1·02 [0·92-1·13]).

INTERPRETATION

Blood pressure lowering is an effective strategy for the prevention of new-onset type 2 diabetes. Established pharmacological interventions, however, have qualitatively and quantitively different effects on diabetes, likely due to their differing off-target effects, with angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers having the most favourable outcomes. This evidence supports the indication for selected classes of antihypertensive drugs for the prevention of diabetes, which could further refine the selection of drug choice according to an individual's clinical risk of diabetes.

FUNDING

British Heart Foundation, National Institute for Health Research, and Oxford Martin School.

摘要

背景

降低血压是预防糖尿病微血管和大血管并发症的既定策略,但它在预防糖尿病本身方面的作用尚不清楚。我们旨在使用主要随机对照试验的个体参与者数据来检验这一问题。

方法

我们进行了一项单阶段个体参与者数据荟萃分析,在该分析中汇总数据以研究降低血压本身对新发 2 型糖尿病风险的影响。使用个体参与者数据网络荟萃分析研究了 5 大类降压药物对新发 2 型糖尿病风险的差异影响。总体而言,通过血压降压治疗试验人员协作组织(英国牛津大学)获得了 1973 年至 2008 年期间进行的 22 项研究的数据。我们纳入了所有使用特定类别或类别的降压药物与安慰剂或其他类别的降压药物进行的一级和二级预防试验,每个随机分配的手臂至少有 1000 人年的随访。在基线时已知患有糖尿病的患者和在患有普遍存在的糖尿病的患者中进行的试验被排除在外。对于单阶段个体参与者数据荟萃分析,我们使用分层 Cox 比例风险模型,对于个体参与者数据网络荟萃分析,我们使用逻辑回归模型计算药物类别比较的相对风险(RR)。

结果

纳入了来自 19 项随机对照试验的 145939 名参与者(88500 名[60.6%]男性和 57429 名[39.4%]女性),进行了单阶段个体参与者数据荟萃分析。22 项试验纳入了个体参与者数据网络荟萃分析。中位随访 4.5 年后(IQR 2.0),9883 名参与者被诊断为新发 2 型糖尿病。所有试验中,收缩压降低 5mmHg 使 2 型糖尿病的风险降低了 11%(危险比 0.89[95%CI 0.84-0.95])。对 5 大类降压药物作用的研究表明,与安慰剂相比,血管紧张素转换酶抑制剂(RR 0.84[95%置信区间 0.76-0.93])和血管紧张素 II 受体阻滞剂(RR 0.84[0.76-0.92])降低了新发 2 型糖尿病的风险;然而,β受体阻滞剂(RR 1.48[1.27-1.72])和噻嗪类利尿剂(RR 1.20[1.07-1.35])增加了这种风险,而钙通道阻滞剂则没有明显的效果(RR 1.02[0.92-1.13])。

解释

降低血压是预防新发 2 型糖尿病的有效策略。然而,已确立的药物干预措施对糖尿病的影响在质量和数量上都有所不同,这可能是由于它们不同的脱靶作用,血管紧张素转换酶抑制剂和血管紧张素 II 受体阻滞剂的效果最好。这一证据支持了选择某些类别的降压药物预防糖尿病的适应证,这可能根据个体糖尿病的临床风险进一步细化药物选择。

资助

英国心脏基金会、英国国家卫生研究院和牛津马丁学院。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e395/8585669/8e797ef01438/gr1.jpg

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