Why the study?
What demographic and clinical factors are associated with the prescription of antihypertensive medications and first-line therapies among hospitalized hypertensive patients?
What demographic and clinical factors are associated with the prescription of antihypertensive medications and first-line therapies among hospitalized hypertensive patients?
Demographic factors such as age, sex, race, and the admitting service line significantly influence the likelihood of receiving antihypertensive treatment during hospitalization.
Associations with demographics suggest care variations; hypothesis-generating and should not yet change practice.
Treatment of hypertension among hospitalized patients represents an opportunity to improve blood pressure recognition and treatment. To address this issue, the authors examined patterns of antihypertensive medication prescribing among 5668 hypertensive inpatients. Outcomes were treatment with any antihypertensive medication and treatment with first-line therapy, defined as angiotensin-converting enzyme inhibitors, beta-blockers, thiazide diuretics, or calcium channel blockers. Logistic regression models adjusting for age, sex, race, length of stay, service line, and comorbidity were used for all comparisons. The multivariate-adjusted odds ratios for treatment were higher for men (1.4, P<.001), older patients (2.5 for age older than 80 vs 1.0 for age younger than 40; P<.001), non-white race (1.2 vs 1.0 for white race; P<.004), and generalist service line (1.4 vs 1.0 for all other services; P<.001). Multivariate-adjusted odds ratios for receiving first-line agents were higher for older patients and generalist service line. Among surgical patients, receipt of medical consultation was only marginally associated with higher odds of antihypertensive or first-line treatment after adjustment for relevant clinical variables. Demographic factors and service line appear to play a major role in determining the likelihood of inpatient hypertension treatment. Understanding and addressing these disparities has the potential to incrementally improve hypertension control rates in the population.
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Axon et al. (2010) studied this question.
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