Albert Einstein College of Medicine (AECOM), 1300 Morris Park Ave, Bronx, NY, USA 10461.
E.S.E. Hospital San Bernardo, Cll. 9 Cra. 5, Filadelfia, Caldas, Colombia.
Ann Glob Health. 2021 Nov 18;87(1):112. doi: 10.5334/aogh.3479. eCollection 2021.
Various multifactorial elements may contribute toward the urban and rural disparities in cardiovascular disease (CVD) risk, particularly among patients with psychiatric diseases.
To investigate whether rural patients diagnosed and treated for Bipolar Disorder (BD) have different risk profiles and outcomes of CVD compared to urban (BD) patients.
We conducted a case-control study that included 125 BD patients (cases) from rural Filadelfia, Colombia and 250 BD patients (controls) treated in Bogotá, Colombia. Cases and controls were 2:1, matched by age and sex. We applied the Framingham Heart Study (FHS) risk calculator to assess risk. Differences by rural/urban status (i.e., case-control status) were assessed by chi-square, paired t-tests, and logistic regression.
Rural BD patients were found to have lower education (p = 1.0 × 10), alcohol consumption (p = 3.0 × 10), smoking (p = 0.015), psychiatric (p = 1.0 × 10) and CV family history (p = 0.0042) compared to urban BD patients. Rural BD patients were 81% more likely to have a more favorable CVD risk profile (OR: 0.19, 95% CI [0.06-0.62]) than urban BD patients, despite rural BD patients having increased CVD morbidity (p = 1.0 × 10).
Based on increase in morbidity but lower predictive risk in the rural population, our study suggests that the FHS-CVD calculator may not be optimal to assess CVD risk in this population.
多种多因素可能导致心血管疾病(CVD)风险的城乡差异,尤其是在患有精神疾病的患者中。
调查与城市(BD)患者相比,农村地区诊断和治疗双相情感障碍(BD)的患者的 CVD 风险特征和结局是否存在差异。
我们进行了一项病例对照研究,纳入了来自哥伦比亚菲拉德尔菲亚农村地区的 125 名 BD 患者(病例)和来自哥伦比亚波哥大的 250 名 BD 患者(对照)。病例和对照的比例为 2:1,按年龄和性别匹配。我们应用弗雷明汉心脏研究(FHS)风险计算器来评估风险。通过卡方检验、配对 t 检验和逻辑回归评估城乡(即病例对照)状态的差异。
与城市 BD 患者相比,农村 BD 患者的教育程度较低(p = 1.0×10),饮酒(p = 3.0×10)、吸烟(p = 0.015)、精神疾病(p = 1.0×10)和 CV 家族史(p = 0.0042)。尽管农村 BD 患者的 CVD 发病率较高(p = 1.0×10),但农村 BD 患者更有可能具有更有利的 CVD 风险特征(OR:0.19,95%CI [0.06-0.62])。
基于农村地区发病率增加但预测风险较低,我们的研究表明,FHS-CVD 计算器可能不适用于评估该人群的 CVD 风险。