Systolic Blood Pressure Variability Linked to ESRD, Mortality

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Increased SBP variability tied to mortality, coronary heart disease, stroke, end-stage renal disease
Increased SBP variability tied to mortality, coronary heart disease, stroke, end-stage renal disease

(HealthDay News) -- Systolic blood pressure variability (SBPV) is associated with mortality, coronary heart disease (CHD), stroke, and end-stage renal disease (ESRD), according to a study published in the Journal of the American College of Cardiology.

Elvira O. Gosmanova, MD, from the Stratton Veterans Affairs Medical Center in Albany, NY, and colleagues examined the impact of increased visit-to-visit variability in a large cohort of US veterans. Data were included for 2,865,157 patients with 8 or more outpatient BP measurements. SBPV was measured and correlated with all-cause mortality, incident CHD, stroke, and ESRD.

The researchers found that higher intraindividual SBPV was seen in association with sociodemographic variables (older age, male sex, African-American race, divorced or widowed status), clinical characteristics (lower baseline estimated glomerular filtration rate, higher SBP, and diastolic BP), and comorbidities (presence of diabetes, hypertension, cardiovascular disease, and lung disease). For standard deviation quartile 2 through 4 versus the first quartile, the multivariable-adjusted hazard ratios associated with all-cause mortality, CHD, stroke, and ESRD were incrementally higher.

"Higher SBPV in individuals with and without hypertension was associated with increased risks of all-cause mortality, CHD, stroke, and ESRD," the authors write. "Further studies are needed to determine interventions that can lower SBPV and their impact on adverse health outcomes."


1. Gosmanova EO, Mikkelsen MK, Molnar MZ, et al. Association of Systolic Blood Pressure Variability With Mortality, Coronary Heart Disease, Stroke, and Renal Disease. J Am Coll Cardiol. 2016;68(13):1375-1386. doi:10.1016/j.jacc.2016.06.054.
2. Krakoff LR and Phillips RA. Blood Pressure Variability Insights From “Big Data.” J Am Coll Cardiol. 2016;68(13):1387-1388. doi:10.1016/j.jacc.2016.07.721

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