Reservoir-Excess Pressure Parameters Independently Predict Cardiovascular Events in Individuals With Type 2 Diabetes

Kunihiko Aizawa (Lead / Corresponding author), Francesco Casanova, Phillip E. Gates, Dave Mawson, Kim Gooding, David Strain, Gerd Östling, Jan Nilsson, Faisel Khan, Helen Colhoun, Carlo Palombo, Kim Parker, Angela C. Shore, Alun D. Hughes

Research output: Contribution to journalArticlepeer-review

Abstract

The parameters derived from reservoir-excess pressure analysis (RPA) have prognostic utility in several populations. However, evidence in type 2 diabetes (T2DM) remains scarce. We determined if these parameters were associated with T2DM, and whether they would predict cardiovascular events in individuals with T2DM.We studied 306people with T2DM and cardiovascular disease (CVD)(DMCVD:70.4±7.8yrs), 348people with T2DM but without CVD (DM:67.7±8.4yrs) and 178peoplewithout T2DM or CVD (CTRL:67.2±8.9yrs). RPA-derived parameters including reservoir pressure integral (INTPR), peak reservoir pressure (MAXPR), excess pressure integral (INTXSP), systolic rate constant (SRC) and diastolic rate constant (DRC) were obtained by radial artery tonometry. INTPR was lower in DMCVD and DM than CTRL. MAXPR was lower, and INTXSP was greater in DMCVD than DM and CTRL. SRC was lower in a stepwise manner among groups(DMCVD<DM<CTRL).DRC was greater in DMCVD than CTRL. In the sub group of individuals with T2DM (n=642), 14 deaths (6 cardiovascular and 9non-cardiovascular causes) and 108cardiovascular events occurred during a 3-yr follow-up period. Logistic regression analysis revealed that INTPR [odds ratio 0.59(95%CI:0.45-0.79)] and DRC [odds ratio 1.60(95%CI:1.25-2.06)] were independent predictors of cardiovascular events during follow-up after adjusting for conventional risk factors(both p<0.001). Further adjustments for potential confounders had no influence on associations. These findings demonstrate that altered RPA-derived parameters are associated with T2DM. Furthermore, baseline values of INTPR and DRC independently predict cardiovascular events in individuals with T2DM, indicating the potential clinical utility of these parameters for risk stratification in T2DM.
Original languageEnglish
Pages (from-to)40-50
Number of pages11
JournalHypertension
Volume78
Issue number1
Early online date1 Jun 2021
DOIs
Publication statusPublished - Jul 2021

Keywords

  • aging
  • blood pressure
  • cardiovascular disease
  • hemodynamics
  • risk factor

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