Reiger Sheridan, Jardim Thiago Veiga, Abrahams-Gessel Shafika, Crowther Nigel J, Wade Alisha, Gomez-Olive F Xavier, Salomon Joshua, Tollman Stephen, Gaziano Thomas A
Department of Cardiovascular Medicine, Brigham & Women's Hospital, Boston, MA, United States of America.
Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
PLoS One. 2017 Oct 27;12(10):e0187347. doi: 10.1371/journal.pone.0187347. eCollection 2017.
Dyslipidemia is a primary driver for chronic cardiovascular conditions and there is no comprehensive literature about its management in South Africa. The objective of this study was to assess the prevalence, awareness, treatment, and control of dyslipidemia in rural South Africa and how they are impacted by different behaviors and non-modifiable factors. To fulfill this objective we recruited for this cohort study adults aged ≥40 years residing in the Agincourt sub-district of Mpumalanga Province. Data collection included socioeconomic and clinical data, anthropometric measures, blood pressure (BP), HIV-status, point-of-care glucose and lipid levels. Framingham CVD Risk Score was ascribed to patients based upon categories for 10 year cardiovascular risk of low (<3%), moderate (≥3% and <15%), high (≥15% and <30%), and very high (≥30%).LDL cholesterol control by risk category was defined according to South African Guidelines. Multivariable logistic regression models were built to identify factors that were significantly associated with dyslipidemia and awareness of dyslipidemia From 5,059 respondents a total of 4247 subjects (83.9%) had their cholesterol levels measured and were included in our analysis. Overall, 67.3% (2860) of these met criteria for dyslipidemia, only 30 (1.05%) were aware of their condition, and only 21 subjects (0.73%) were on treatment. The majority have abnormalities in triglycerides (59.3%). As cardiovascular risk increased the rates of lipid control according to LDL level dropped. Multivariate logistic regression analyses showed that being overweight was predictive of dyslipidemia (OR 1.76; 95%CI 1.51-2.05, p<0.001) and dyslipidemia awareness (OR 2.58; 95%CI 1.19-5.58; p = 0.017). In conclusion, the very low awareness and treatment of dyslipidemia in this cohort indicate a greater need for systematic screening and education within the population and demonstrate that there are multiple opportunities to allay this burden.
血脂异常是慢性心血管疾病的主要驱动因素,而在南非,关于其管理尚无全面的文献。本研究的目的是评估南非农村地区血脂异常的患病率、知晓率、治疗率和控制率,以及它们如何受到不同行为和不可改变因素的影响。为实现这一目标,我们为这项队列研究招募了居住在姆普马兰加省阿金库尔分区的40岁及以上成年人。数据收集包括社会经济和临床数据、人体测量指标、血压(BP)、艾滋病毒感染状况、即时血糖和血脂水平。根据10年心血管疾病低风险(<3%)、中风险(≥3%且<15%)、高风险(≥15%且<30%)和极高风险(≥30%)类别,为患者计算弗雷明汉心血管疾病风险评分。根据南非指南定义按风险类别划分的低密度脂蛋白胆固醇控制情况。建立多变量逻辑回归模型,以确定与血脂异常和血脂异常知晓率显著相关的因素。在5059名受访者中,共有4247名受试者(83.9%)进行了胆固醇水平测量并纳入我们的分析。总体而言,其中67.3%(2860名)符合血脂异常标准,只有30名(1.05%)知晓自己的病情,只有21名受试者(0.73%)正在接受治疗。大多数人甘油三酯异常(59.3%)。随着心血管疾病风险增加——根据低密度脂蛋白水平划分的血脂控制率下降。多变量逻辑回归分析表明,超重可预测血脂异常(比值比1.76;95%置信区间1.51 - 2.05,p<0.001)和血脂异常知晓率(比值比2.58;95%置信区间1.19 - 5.58;p = 0.017)。总之,该队列中血脂异常的知晓率和治疗率极低,表明在人群中更需要进行系统筛查和教育,并表明有多种减轻这一负担的机会。