首页> 外文学位 >Metabolic syndrome and cardiovascular mortality among participants of the hypertension detection and follow-up program.
【24h】

Metabolic syndrome and cardiovascular mortality among participants of the hypertension detection and follow-up program.

机译:高血压检测和随访计划参与者的代谢综合征和心血管死亡率。

获取原文
获取原文并翻译 | 示例

摘要

Metabolic Syndrome (MetS) is a clustering of cardiovascular (CV) risk factors that includes obesity, dyslipidemia, hyperglycemia, and elevated blood pressure. Applying the criteria for MetS can serve as a clinically feasible tool for identifying patients at high risk for CV morbidity and mortality, particularly those who do not fall into traditional risk categories. The objective of this study was to examine the association between MetS and CV mortality among 10,940 American hypertensive adults, ages 30-69 years, participating in a large randomized controlled trial of hypertension treatment (HDFP 1973-1983). MetS was defined as the presence of hypertension and at least two of the following risk factors: obesity, dyslipidemia, or hyperglycemia. Of the 10,763 individuals with sufficient data available for analysis, 33.2% met criteria for MetS at baseline. The baseline prevalence of MetS was significantly higher among women (46%) than men (22%) and among non-blacks (37%) versus blacks (30%). All-cause and CV mortality was assessed for 10,763 individuals. Over a median follow-up of 7.8 years, 1,425 deaths were observed. Approximately 53% of these deaths were attributed to CV causes. Compared to individuals without MetS at baseline, those with MetS had higher rates of all-cause mortality (14.5% v. 12.6%) and CV mortality (8.2% versus 6.4%). The unadjusted risk of CV mortality among those with MetS was 1.31 (95% confidence interval [CI], 1.12-1.52) times that for those without MetS at baseline. After multiple adjustment for traditional risk factors of age, race, gender, history of cardiovascular disease (CVD), and smoking status, individuals with MetS, compared to those without MetS, were 1.42 (95% CI, 1.20-1.67) times more likely to die of CV causes. Of the individual components of MetS, hyperglycemia/diabetes conferred the strongest risk of CV mortality (OR 1.73; 95% CI, 1.39-2.15). Results of the present study suggest MetS defined as the presence of hypertension and 2 additional cardiometabolic risk factors (obesity, dyslipidemia, or hyperglycemia/diabetes) can be used with some success to predict CV mortality in middle-aged hypertensive adults. Ongoing and future prospective studies are vital to examine the association between MetS and cardiovascular morbidity and mortality in select high-risk subpopulations, and to continue evaluating the public health impact of aggressive, targeted screening, prevention, and treatment efforts to prevent future cardiovascular disability and death.
机译:代谢综合征(MetS)是包括肥胖,血脂异常,高血糖和血压升高在内的心血管(CV)危险因素的聚集。应用MetS的标准可以作为临床上可行的工具,用于识别CV发病率和死亡率高风险的患者,特别是那些不属于传统风险类别的患者。这项研究的目的是研究10,940名30-69岁的美国高血压成年人中MetS与CV死亡率之间的关系,该参与者参加了一项大型的高血压治疗随机对照试验(HDFP 1973-1983)。 MetS被定义为存在高血压和以下至少两个危险因素:肥胖,血脂异常或高血糖。在10,763个人中,有足够的数据可供分析,其中33.2%的人在基线时达到了MetS标准。女性(46%)的男性MetS基线患病率明显高于男性(22%),非黑人(37%)高于黑人(30%)。评估了10,763个人的全因和CV死亡率。在7.8年的中位随访中,观察到1,425例死亡。这些死亡中约有53%归因于简历原因。与基线时未患有MetS的个体相比,患有MetS的个体的全因死亡率(14.5%vs. 12.6%)和CV死亡率(8.2%对6.4%)更高。患有MetS的患者中未经调整的CV死亡风险是基线时没有MetS的患者的1.31倍(95%置信区间[CI],1.12-1.52)。在对年龄,种族,性别,心血管疾病史(CVD)和吸烟状况的传统危险因素进行多次调整后,与未患有MetS的人相比,患有MetS的人的可能性高1.42倍(95%CI,1.20-1.67)死于简历原因。在MetS的各个组成部分中,高血糖/糖尿病使CV死亡的风险最大(OR 1.73; 95%CI,1.39-2.15)。本研究的结果表明,MetS被定义为存在高血压和另外2种心脏代谢危险因素(肥胖,血脂异常或高血糖/糖尿病),可以成功地预测中年高血压成年人的CV死亡率。正在进行的和未来的前瞻性研究对于检查MetS与某些高风险亚人群的心血管疾病发病率和死亡率之间的关系,以及继续评估积极,针对性的筛查,预防和治疗工作对预防未来心血管疾病和残疾的公共健康影响至关重要。死亡。

著录项

  • 作者

    Canter, Debra L.;

  • 作者单位

    The University of Texas School of Public Health.;

  • 授予单位 The University of Texas School of Public Health.;
  • 学科 Biology Biostatistics.;Health Sciences Epidemiology.;Health Sciences Public Health.
  • 学位 M.S.
  • 年度 2010
  • 页码 47 p.
  • 总页数 47
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:55

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号