Cardiology Unit, University Hospital of Kinshasa, PO Box 1038, Kinshasa, Democratic Republic of Congo.
Centre Médical de Kinshasa (CMK), Kinshasa, Democratic Republic of Congo.
BMC Cardiovasc Disord. 2021 Jan 2;21(1):1. doi: 10.1186/s12872-020-01829-y.
Conflicting information exists regarding the association between insulin resistance (IR) and left ventricular hypertrophy (LVH). We described the associations between obesity, fasting insulinemia, homeostasis model assessment of insulin resistance (HOMA-IR), and LVH in Black patients with essential hypertension.
A case-control study was conducted at the Centre Médical de Kinshasa (CMK), the Democratic Republic of the Congo, between January and December 2019. Cases and controls were hypertensive patients with and without LVH, respectively. The relationships between obesity indices, physical inactivity, glucose metabolism and lipid disorder parameters, and LVH were assessed using linear and logistic regression analyses in simple and univariate exploratory analyses, respectively. When differences were observed between LVH and independent variables, the effects of potential confounders were studied through the use of multiple linear regression and in conditional logistic regression in multivariate analyses. The coefficients of determination (R), adjusted odds ratios (aORs), and their 95% confidence intervals (95% CIs) were calculated to determine associations between LVH and the independent variables.
Eighty-eight LVH cases (52 men) were compared against 132 controls (81 men). Variation in left ventricular mass (LVM) could be predicted by the following variables: age (19%), duration of hypertension (31.3%), body mass index (BMI, 44.4%), waist circumference (WC, 42.5%), glycemia (20%), insulinemia (44.8%), and HOMA-IR (43.7%). Hypertension duration, BMI, insulinemia, and HOMA-IR explained 68.3% of LVM variability in the multiple linear regression analysis. In the logistic regression model, obesity increased the risk of LVH by threefold [aOR 2.8; 95% CI (1.06-7.4); p = 0.038], and IR increased the risk of LVH by eightfold [aOR 8.4; 95 (3.7-15.7); p < 0.001].
Obesity and IR appear to be the primary predictors of LVH in Black sub-Saharan African hypertensive patients. The comprehensive management of cardiovascular risk factors should be emphasized, with particular attention paid to obesity and IR. A prospective population-based study of Black sub-Saharan individuals that includes the use of serial imaging remains essential to better understand subclinical LV deterioration over time and to confirm the role played by IR in Black sub-Saharan individuals with hypertension.
胰岛素抵抗(IR)与左心室肥厚(LVH)之间的关联存在相互矛盾的信息。我们描述了在刚果民主共和国金沙萨医疗中心(CMK)进行的一项病例对照研究中,黑种原发性高血压患者中肥胖、空腹胰岛素血症、胰岛素抵抗评估的稳态模型(HOMA-IR)与 LVH 之间的关联。
2019 年 1 月至 12 月期间,在刚果民主共和国金沙萨医疗中心(CMK)进行了一项病例对照研究。病例和对照分别为患有和不患有 LVH 的高血压患者。使用线性和逻辑回归分析分别在简单和单变量探索性分析中评估肥胖指数、体力活动不足、葡萄糖代谢和脂质紊乱参数与 LVH 之间的关系。在 LVH 与独立变量之间观察到差异时,通过多元线性回归和条件逻辑回归在多变量分析中研究潜在混杂因素的影响。计算决定系数(R)、调整后的优势比(aOR)及其 95%置信区间(95%CI),以确定 LVH 与独立变量之间的关联。
88 例 LVH 病例(52 例男性)与 132 例对照(81 例男性)进行了比较。左心室质量(LVM)的变化可以由以下变量预测:年龄(19%)、高血压持续时间(31.3%)、体重指数(BMI,44.4%)、腰围(WC,42.5%)、血糖(20%)、胰岛素血症(44.8%)和 HOMA-IR(43.7%)。在多元线性回归分析中,高血压持续时间、BMI、胰岛素血症和 HOMA-IR 解释了 LVM 变异性的 68.3%。在逻辑回归模型中,肥胖使 LVH 的风险增加了两倍[aOR 2.8;95%CI(1.06-7.4);p=0.038],IR 使 LVH 的风险增加了八倍[aOR 8.4;95%CI(3.7-15.7);p<0.001]。
肥胖和 IR 似乎是撒哈拉以南非洲黑种原发性高血压患者 LVH 的主要预测因素。应强调心血管危险因素的综合管理,特别关注肥胖和 IR。对撒哈拉以南非洲人群进行一项基于人群的前瞻性研究,包括使用连续成像,对于更好地了解随时间推移亚临床 LV 恶化并确认 IR 在撒哈拉以南非洲高血压人群中的作用仍然至关重要。