Differences in blood pressure control based on hypertension subtype in patients with a de novo diagnosis: a retrospective cohort study

Jaime Gallo‐Villegas, Wilfredo Antonio Rivera-Martínez, María Casanova-Valderrama, Lunevar Figueroa-Torregroza, José Mauricio Ocampo-Chaparro, Aura Salazar-Solarte, José Leonel Zambrano Urbano,Dagnóvar Aristizábal

Research Square (Research Square)(2023)

引用 0|浏览0
暂无评分
摘要
Abstract The burden of disease due to arterial hypertension (AH) is huge and studies have shown that AH prevalence continues to increase and that control rates are still low, despite public health efforts, lifestyle and pharmacological interventions recommended by guidelines. Therefore, improved therapeutic schemes based on patient´s characteristics are required to achieve blood pressure (BP) goals and thus avoid the impact AH on cardiovascular outcomes. In this real-world study, a cohort of 1397 Latin American subjects with a de novo diagnosis of AH received antihypertensive therapy following current guidelines. Thereafter, they were retrospectively classified by hypertension subtype and BP response was assessed based on whether patients initially received an appropriate treatment according to arterial hemodynamics. The initiation of a proper antihypertensive regimen was statistically significant associated with greater BP control at the follow-up clinical visit, even when the statistical model was adjusted for multiple variables (OR 2.17 CI 1.49–3.15, p value < 0.001). Among patients who were not well controlled, the divergent systolic-diastolic hypertension (SDH-D) subtype was the most frequent (46.7%), and those patients initially had higher BP, cardiac output, total systemic vascular resistance (SVR), and lower arterial compliance. Our findings indicate that the appropriate selection of an antihypertensive treatment guided by the AH subtype is associated with better BP control in patients with newly diagnosed AH.
更多
查看译文
关键词
hypertension subtype,blood pressure control,cohort study,retrospective cohort study
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要