Literature DB >> 23077974

Influence of age and hypertension treatment-time on ambulatory blood pressure in hypertensive patients.

Ramón C Hermida1, Diana E Ayala, Juan J Crespo, Artemio Mojón, Luisa Chayán, María J Fontao, José R Fernández.   

Abstract

Some studies based on ambulatory blood pressure (BP) monitoring (ABPM) have reported a reduction in sleep-time relative BP decline towards a more non-dipping pattern in the elderly, but rarely have past studies included a proper comparison with younger subjects, and no previous report has evaluated the potential role of hypertension treatment time on nighttime BP regulation in the elderly. Accordingly, we evaluated the influence of age and time-of-day of hypertension treatment on the circadian BP pattern assessed by 48-h ABPM. This cross-sectional study involved 6147 hypertensive patients (3108 men/3039 women), 54.0 ± 13.7 (mean ± SD) yrs of age, with 2137 (978 men/1159 women) being ≥60 yrs of age. At the time of study, 1809 patients were newly diagnosed and untreated, and 4338 were treated with hypertension medications. Among the later, 2641 ingested all their prescribed BP-lowering medications upon awakening, whereas 1697 ingested the full daily dose of ≥1 hypertension medications at bedtime. Diagnosis of hypertension in untreated patients was based on ABPM criteria, specifically an awake systolic (SBP)/diastolic (DBP) BP mean ≥135/85 mm Hg and/or an asleep SBP/DBP mean ≥120/70 mm Hg. Collectively, older in comparison with younger patients were more likely to have diagnoses of microalbuminuria, chronic kidney disease, obstructive sleep apnea, metabolic syndrome, anemia, and/or obesity. In addition, the group of older vs. younger patients had higher glucose, creatinine, uric acid, triglycerides, and fibrinogen, but lower cholesterol, hemoglobin, and estimated glomerular filtration rate. In older compared with younger patients, ambulatory SBP was significantly higher and DBP significantly lower (p < .001), mainly during the hours of nighttime sleep and initial hours after morning awakening. The prevalence of non-dipping was significantly higher in older than younger patients (63.1% vs. 41.1%; p < .001). The largest difference between the age groups was in the prevalence of a riser BP pattern, i.e., asleep SBP mean greater than awake SBP mean (19.9% vs. 4.9% in older vs. younger patients, respectively; p < .001). The sleep-time relative SBP decline was mainly unchanged until ~40 yrs of age, and then significantly and progressively decreasing with increasing age at a rate of .28%/yr (p < .001), reaching a minimum value of 4.38% ± .47% for patients ≥75 yrs of age. Treated compared with untreated patients showed lower awake and asleep SBP means, although the predictable changes of SBP and DBP with age were equivalent in both groups. As a consequence, there were no significant differences between untreated and treated patients in the changes of the sleep-time relative SBP and DBP declines with age. Additionally, the asleep SBP and DBP means were significantly lower and the sleep-time relative SBP and DBP declines significantly higher at all ages in patients ingesting ≥1 BP-lowering medications at bedtime as compared with those ingesting all medications upon awakening. Our findings document a significantly elevated prevalence of a blunted nighttime BP decline with increasing age ≥40 yrs. The prevalence of a riser BP pattern, associated with highest cardiovascular risk among all possible BP patterns, was 4 times more prevalent in patients ≥60 yrs of age than those <60 yr of age. Most important, there was an attenuated prevalence of a blunted nighttime BP decline at all ages when ≥1 hypertension medications were ingested at bedtime as compared with when all of them were ingested upon awakening. These findings indicate that older age should be included among the conditions for which ABPM is recommended for proper cardiovascular risk assessment.

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Year:  2012        PMID: 23077974     DOI: 10.3109/07420528.2012.701131

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


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