Mean arterial pressure change associated with cerebral blood flow in healthy older adults

Neurobiol Aging. 2016 Oct:46:49-57. doi: 10.1016/j.neurobiolaging.2016.05.012. Epub 2016 May 20.

Abstract

We investigate over a 12-year period the association between regional cerebral blood flow (CBF) and cardiovascular risk factors in a prospective cohort of healthy older adults (81.96 ± 3.82 year-old) from the Cognitive REServe and Clinical ENDOphenotype (CRESCENDO) study. Cardiovascular risk factors were measured over 12 years, and gray matter CBF was measured at the end of the study from high-resolution magnetic resonance imaging using arterial spin labeling. The association between cardiovascular risk factors, their long-term change, and CBF was assessed using multivariate linear regression models. Women were observed to have higher CBF than men (p < 0.05). Increased mean arterial pressure (MAP) over the 12-year period was correlated with a low cerebral blood flow (p < 0.05, R(2) = 0.21), whereas no association was detected between CBF and MAP at the time of imaging. High levels of glycemia tended to be associated with low cerebral blood flow values (p < 0.05). Age, alcohol consumption, smoking status, body mass index, history of cardiovascular disease, and hypertension were not associated with CBF. Our main result suggests that change in MAP is the most significant predictor of future CBF in older adults.

Keywords: Aging; Arterial spin labelling; Cerebral blood flow; Hypertension; Magnetic resonance imaging.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Arterial Pressure / physiology*
  • Cardiovascular Diseases / etiology
  • Cerebrovascular Circulation / physiology*
  • Cohort Studies
  • Female
  • Forecasting
  • Glycemic Index / physiology
  • Gray Matter / blood supply
  • Gray Matter / diagnostic imaging
  • Humans
  • Linear Models
  • Magnetic Resonance Imaging / methods
  • Male
  • Prospective Studies
  • Risk Factors
  • Sex Characteristics
  • Time Factors