Dissecting the vascular-cognitive nexus: energetic vs. conventional hemodynamic parameters

Hao Min Cheng*, Jiun Jr Wang, Shao Yuan Chuang, Chen Hua Lin, Gary F. Mitchell, Chi Jung Huang, Pei Ning Wang, Chih Ping Chung, Liang Kung Chen, Wen Harn Pan, Li Ning Peng*, Chen Huan Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Blood pressure or flow measurements have been associated with vascular health and cognitive function. We proposed that energetic hemodynamic parameters may provide a more nuanced understanding and stronger correlation with cognitive function, in comparisons with conventional aortic and carotid pressure and flow parameters. The study comprised 1858 participants, in whom we assessed cognitive function via MoCA method, and measured central aortic and carotid pressure and flow waveforms. In addition to various pressure and flow parameters, we calculated energetic hemodynamic parameters through integration of pressure multiplying flow with respect to time. Energetic hemodynamic parameters, particularly aortic and carotid mean and pulsatile energy and pulsatility index (PI), were significantly associated with MoCA score more than any aortic and carotid pressure and flow parameters, after adjusting for age, sex, education, depression score, heart rate, BMI, HDL-cholesterol, and glucose levels. MoCA exhibited a strong positive relationship with carotid mean energy (standardized beta = 0.053, P = 0.0253) and a negative relationship with carotid energy PI (standardized beta = −0.093, P = 0.0002), exceeding the association with all traditional pressure- or flow-based parameters. Aortic pressure reflection coefficient at the aorto-carotid junction was positively correlated with mean carotid energy and negatively correlated with PI. Aortic characteristic impedance positively correlated with carotid energy PI but not mean energy. Our research indicates that energetic hemodynamic parameters, particularly carotid mean energy and carotid energy PI, have a stronger association with MoCA scores than traditional pressure- or flow-based metrics. This correlation with cognitive function is notably influenced by the properties of the aorto-carotid interface. (Figure presented.)

Original languageEnglish
Pages (from-to)2262-2274
Number of pages13
JournalHypertension Research
Volume47
Issue number9
DOIs
StatePublished - Sep 2024

Keywords

  • Carotid pulsatile energy
  • Cognitive function
  • Flow pulsatility index
  • High blood pressure
  • Pressure pulsatility index

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