Day-by-Day Variability of Home Blood Pressure and Incident Cardiovascular Disease in Clinical Practice (original) (raw)
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Hypertension, 2008
Day-by-day blood pressure and heart rate variability defined as within-subject SDs of home measurements can be calculated from long-term self-measurement. We investigated the prognostic value of day-by-day variability in 2455 Ohasama, Japan, residents (baseline age: 35 to 96 years; 60.4% women). Home blood pressure and heart rate were measured once every morning for 26 days (median). A total of 462 deaths occurred over a median of 11.9 years, composing 168 cardiovascular deaths (stroke: nϭ83; cardiac: nϭ85) and 294 noncardiovascular deaths. Using Cox regression, we computed hazard ratios while adjusting for baseline characteristics, including blood pressure and heart rate level, sex, age, obesity, current smoking and drinking habits, history of cardiovascular disease, diabetes mellitus, hyperlipidemia, and treatment with antihypertensive drugs. An increase in systolic blood pressure variability of ϩ1 between-subject SD was associated with increased hazard ratios for cardiovascular (1.27; Pϭ0.002) and stroke mortality (1.41; Pϭ0.0009) but not for cardiac mortality (1.13; Pϭ0.26). Conversely, heart rate variability was associated with cardiovascular (1.24; Pϭ0.002) and cardiac mortality (1.30; Pϭ0.003) but not stroke mortality (1.17; Pϭ0.12). Similar findings were observed for diastolic blood pressure variability. Additional adjustment of heart rate variability for systolic blood pressure variability and vice versa produced confirmatory results. Coefficient of variation, defined as within-subject SD divided by level of blood pressure or heart rate, displayed similar prognostic value. In conclusion, day-by-day blood pressure variability and heart rate variability by self-measurement at home make up a simple method of providing useful clinical information for assessing cardiovascular risk. (Hypertension. 2008;52:1045-1050.)
Hypertension research : official journal of the Japanese Society of Hypertension, 2015
This review addresses methodological issues in the assessment of blood pressure variability and the predictive value of blood pressure variability derived from blood pressure readings obtained in the relaxed home environment. Preference should be given to indexes of blood pressure variability that are independent of the mean because we should evaluate the impact of blood pressure variability by eliminating the effect of blood pressure levels. Beat-to-beat blood pressure recordings outperform home blood pressure measurement in the assessment of blood pressure variability in longitudinal Belgian and Japanese population studies, whereas blood pressure variability did not incrementally predict outcome beyond blood pressure level and other cardiovascular risk factors. In conclusion, clinicians should focus on blood pressure level, given that it is the predominant risk factor and is manageable by lifestyle modifications and adequate antihypertensive drug treatment. Blood pressure variabil...
Outcome-Driven Thresholds for Increased Home Blood Pressure Variability
Hypertension (Dallas, Tex. : 1979), 2017
Increased blood pressure (BP) variability predicts cardiovascular disease, but lack of operational thresholds limits its use in clinical practice. Our aim was to define outcome-driven thresholds for increased day-to-day home BP variability. We studied a population-based sample of 6238 individuals (mean age 60.0±12.9, 56.4% women) from Japan, Greece, and Finland. All participants self-measured their home BP on ≥3 days. We defined home BP variability as the coefficient of variation of the first morning BPs on 3 to 7 days. We assessed the association between systolic/diastolic BP variability (as a continuous variable and in deciles of coefficient of variation) and cardiovascular outcomes using Cox regression models adjusted for cohort and classical cardiovascular risk factors, including BP. During a follow-up of 9.3±3.6 years, 304 cardiovascular deaths and 715 cardiovascular events occurred. A 1 SD increase in systolic/diastolic home BP variability was associated with increased risk of...
Acta cardiologica, 2011
Ambulatory blood pressure monitoring not only provides information on the blood pressure level, but on the diurnal changes in blood pressure as well. The present review summarizes the main findings of the International Database on Ambulatory blood pressure in relation to Cardiovascular Outcome (IDACO) with regard to risk stratification based on short-term blood pressure variability. An exaggerated morning surge, exceeding the 90th percentile of the population, is an independent risk factor for mortality and cardiovascular and cardiac events. Conversely, a sleep-through or pre-awakening morning surge less than 20 mm Hg in systolic blood pressure is probably not associated with an increased risk of death or cardiovascular events. Blood pressure variability represented by the average of the daytime and nighttime SD weighted for the duration of the daytime and nighttime interval (SDdn) and by average real variability (ARV24) predicted outcome, but only improved the prediction of the com...
Interpretation of Ambulatory Blood Pressure Profile for Risk Stratification: Keep It Simple
Hypertension, 2014
A solid body of evidence supports the contention that cardiovascular morbidity and mortality are better predicted by ambulatory blood pressure (BP) than by BP measured in the physician's office. 1 Compared with office BP, the main advantage of ambulatory BP monitoring (ABPM) is the number of readings obtained throughout a 24-hour period. Frequent readings during wakefulness and sleep enable clinicians to obtain a more precise estimation of a patient's BP, to assess BP levels in the outpatient setting, and to study BP variability and circadian profile.
Prognostic Value of the Variability in Home-Measured Blood Pressure and Heart Rate
Hypertension, 2012
The objective of the study was to assess the prognostic value of variability in home-measured blood pressure (BP) and heart rate (HR) in a general population. We studied a representative sample of the Finnish adult population with 1866 study subjects aged 45–74 years. BP and HR self-measurements were performed on 7 consecutive days. The variabilities of BP and HR were defined as the SDs of morning minus evening, day-by-day, and first minus second measurements. The primary end point was incidence of a cardiovascular event. The secondary end point was total mortality. During a follow-up of 7.8 years, 179 subjects had experienced a cardiovascular event, and 130 subjects had died. In Cox proportional hazard models adjusted for age, sex, BP/HR, and other cardiovascular risk factors, morning-evening home BP variability (systolic/diastolic relative hazard: 1.04/1.10 [95% CI: 1.01–1.07/1.05–1.15] per 1-mm Hg increase in BP variability) and morning day-by-day home BP variability (relative ha...
Hypertension
We developed an innovative automated home blood pressure (BP) monitoring method that measures BP while asleep repeatedly over several days. Our aim was to assess the predictive ability of nighttime BP obtained using the home BP device for incident cardiovascular disease (CVD) in general practice patients. We used data from the nationwide practice-based J-HOP (Japan Morning Surge-Home Blood Pressure) Nocturnal BP Study, which recruited 2545 Japanese with a history of or risk factors for CVD (mean age 63 years; antihypertensive medication use 83%). The associations between nighttime home BPs (measured at 2:00, 3:00, and 4:00 am using validated, automatic, and oscillometric home BP devices) and incident CVD, including coronary disease and stroke events, were assessed with Cox proportional hazards models. The mean±SD office, morning home, and nighttime home systolic BP (SBP)/diastolic BP were 140±15/82±10, 137±15/79±10, and 121±15/70±9 mm Hg, respectively. During a follow-up of 7.1±3.8 years (18,116 person-years), 152 CVD events occurred. A 10-mm Hg increase of nighttime home SBP was associated with an increased risk of CVD events (hazard ratios [95% CIs]: 1.201 [1.046-1.378]), after adjustments for covariates including office and morning home SBPs. The model fit assessed by the change in Goodness-of-Fit was improved when we added nighttime home SBP into the base models including office and morning home SBPs (Δ6.838 [5.6%]; P=0.009). This is among the first and largest nationwide practice-based study demonstrating that nighttime SBP obtained using a home device is a predictor of incident CVD events, independent of in-office and morning in-home SBP measurement. Clinical Trial Registration-URL: http://www.umin.ac.jp/icdr/index.html. Unique identifier: UMIN000000894.
Home Blood Pressure Variability as Cardiovascular Risk Factor in the Population of Ohasama
Hypertension, 2013
Blood pressure variability based on office measurement predicts outcome in selected patients. We explored whether novel indices of blood pressure variability derived from the self-measured home blood pressure predicted outcome in a general population. We monitored mortality and stroke in 2421 Ohasama residents (Iwate Prefecture, Japan). At enrollment (1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995), participants (mean age, 58.6 years; 60.9% women; 27.1% treated) measured their blood pressure at home, using an oscillometric device. In multivariable-adjusted Cox models, we assessed the independent predictive value of the within-subject mean systolic blood pressure (SBP) and corresponding variability as estimated by variability independent of the mean, difference between maximum and minimum blood pressure, and average real variability. Over 12.0 years (median), 412 participants died, 139 of cardiovascular causes, and 223 had a stroke. In models including morning SBP, variability independent of the mean and average real variability (median, 26 readings) predicted total and cardiovascular mortality in all of the participants (P≤0.044); variability independent of the mean predicted cardiovascular mortality in treated (P=0.014) but not in untreated (P=0.23) participants; and morning maximum and minimum blood pressure did not predict any end point (P≥0.085). In models already including evening SBP, only variability independent of the mean predicted cardiovascular mortality in all and in untreated participants (P≤0.046). The R 2 statistics, a measure for the incremental risk explained by adding blood pressure variability to models already including SBP and covariables, ranged from <0.01% to 0.88%. In a general population,
JAMA Network Open
IMPORTANCE Accumulating evidence indicates that higher blood pressure (BP) variability from one physician office visit to the next (hereafter referred to as visit-to-visit BP variability) is associated with poor outcomes. Short-term measurement (throughout 1 year) of visit-to-visit BP variability in highrisk older patients may help identify patients at increased risk of death. OBJECTIVE To evaluate whether short-term visit-to-visit BP variability is associated with increased long-term mortality risk. DESIGN, SETTING, AND PARTICIPANTS The US cohort of the International Verapamil SR-Trandolapril Study (INVEST), a randomized clinical trial of 16 688 patients aged 50 years or older with hypertension and coronary artery disease, was conducted between September 2, 1997, and December 15, 2000, with in-trial follow-up through February 14, 2003. The study evaluated a calcium antagonist (sustained-release verapamil plus trandolapril) vs β-blocker (atenolol plus hydrochlorothiazide) treatment strategy. Blood pressure measurement visits were scheduled every 6 weeks for the first 6 months and biannually thereafter. Statistical analysis was performed from September 2, 1997, to May 1, 2014. EXPOSURES Visit-to-visit systolic BP (SBP) and diastolic BP variability during the first year of enrollment using 4 different BP variability measures: standard deviation, coefficient of variation, average real variability, and variability independent of the mean. MAIN OUTCOMES AND MEASURES All-cause death, assessed via the US National Death Index, beginning after the exposure assessment period through May 1, 2014. RESULTS For the present post hoc analysis, long-term mortality data were available on 16 688 patients (9001 women [54%]; mean [SD] age, 66.5 [9.9] years; 45% White patients, 16% Black patients, and 37% Hispanic patients). During a mean (SD) follow-up of 10.9 (4.2) years, 5058 patients (30%) died. All 4 variability measures for SBP were significantly associated with long-term mortality after adjustment for baseline demographic characteristics and comorbidities. After comparison of lowest vs highest variability measure quintiles, the magnitude of the association with death remained statistically significant even after adjustment for baseline demographic characteristics and comorbidities (average real variability: adjusted hazard ratio [