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The Possible Impact of Aortic Stiffness on Quality of Late Life: An Exploratory Study

Authors Tap L , Dommershuijsen LJ, Corsonello A, Lattanzio F, Bustacchini S , Ziere G , van Saase JLCM, Mattace-Raso FUS 

Received 19 November 2019

Accepted for publication 17 January 2020

Published 4 February 2020 Volume 2020:15 Pages 133—140


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Richard Walker

Lisanne Tap,1 Lisanne J Dommershuijsen,1 Andrea Corsonello,2 Fabrizia Lattanzio,2 Silvia Bustacchini,2 Gijsbertus Ziere,1 Jan LCM van Saase,3 Francesco US Mattace-Raso1

1Section of Geriatric Medicine, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; 2Italian National Research Center on Aging (INRCA), Ancona, Fermo and Cosenza, Italy; 3Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands

Correspondence: Francesco US Mattace-Raso
Section Geriatric Medicine, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Room Rg-527, PO BOX 2040, Rotterdam 3000 CA, the Netherlands
Tel +31 10703 5979
Fax +31 10703 47 68
Email [email protected]

Purpose: Aortic stiffness (AS) is associated with cardiovascular events and all-cause mortality in the older population. AS might also influence the health-related quality of life (HRQOL) as a result of the negative effects of AS on cognitive and physical morbidity. We aimed to investigate the possible association between AS and HRQOL in people aged 75 years and over.
Patients and Methods: This cross-sectional study was part of the SCOPE study, an international multicenter cohort observational study. The indicators for AS were aortic pulse wave velocity (aPWV) and central pulse pressure (cPP). HRQOL was assessed using the EQ-5D index and the EQ-5D visual analog scale (VAS). ANCOVA and multivariate regression models were used to investigate possible associations.
Results: We included 280 Dutch participants of the SCOPE study. Median age was 79 years (IQR 76– 83) and 42.1% were women. Participants reporting any problem on the EQ-5D index (n=214) had higher values of aPWV (12.6 vs 12.2 m/s, p = 0.024) than participants not experiencing any problem (n=66) and comparable values of cPP (44.4 vs 42.0 mmHg, p = 0.119). Estimates only slightly changed after adjustments. No association was found between indicators of AS and EQ-5D VAS.
Conclusion: Aortic stiffness was associated with impaired quality of late life. This association could be mediated by subclinical vascular pathology affecting mental and physical health.

Keywords: arterial stiffness, health-related quality of life, EQ-5D, older persons


Aortic stiffness is a part of vascular aging,13 a phenomenon which can be accelerated by risk factors such as hypertension and diabetes mellitus.49 Aortic stiffness is a powerful predictor of cardiovascular events and all-cause mortality in several clinical populations as well as in community-dwelling older people.1012 Aortic stiffness is also associated with microvascular brain disease,13,14 which can lead to decreased mental health in terms of cognition, mood, and daily functioning.15,16 As a result of these effects, aortic stiffness might also have a negative impact on quality of life. The negative impact of aortic stiffness on quality of life could be a subclinical result of vascular pathology or a result of the presence of comorbidities.1720

Previous studies have investigated the possible association between aortic stiffness and quality of life in several study populations.2127 These studies show conflicting results. Moreover, to the best of our knowledge, no previous study has investigated the possible association between aortic stiffness and the quality of late life.

Studying quality of life is relevant, since quality of life is a more powerful predictor of morbidity and mortality than many objective measures of health.28 Health-related quality of life (HRQOL) can be seen as a broad measure of health status and a supplement to traditional parameters as morbidity and mortality.

The objective of this study was to determine whether there is an association between aortic stiffness and quality of life in older persons aged 75 years and over.

Materials and Methods

Study Population

The Screening for Chronic kidney disease among Older People across Europe (SCOPE) study is a multicenter observational study with a prospective design in seven European countries.29 The primary objective of the study is to investigate the currently available screening methods to identify community-dwelling older patients at risk of kidney disease. A detailed description of the study protocol can be found elsewhere.29 Patients with end-stage renal disease or dialysis, a history of solid organ or bone marrow transplantation, an active malignancy or metastatic cancer within 24 months prior to the visit, a life expectancy of less than 6 months, a severe cognitive impairment or patients unwilling to provide consent were ineligible for the SCOPE study. The current study population was a subset of the SCOPE study population including only the Dutch participants (n=301). Data on aortic stiffness were only collected at participating centers in the Netherlands. The SCOPE study has been reviewed and approved by the Medical Ethics Committee of the Erasmus MC University Medical Center. This trial was conducted in accordance with the Declaration of Helsinki. This study was registered on the 25th February 2016 at, identifier NCT02691546. All participants provided written informed consent.

Study Visit

Baseline visit was scheduled at the Erasmus Medical Center Rotterdam or at the Havenziekenhuis Rotterdam. A comprehensive geriatric assessment was performed according to the SCOPE study protocol.29 The assessment included questionnaires, physical examination, and functional tests. Also, non-fastened blood and urine samples were taken.

Aortic Stiffness

Aortic stiffness was determined measuring aortic Pulse Wave Velocity (aPWV) with the Mobil-O-Graph (IEM, Rheinland, Germany), a previously validated oscillometric method.30 aPWV measurements were performed by a single measurement in resting sitting position using a brachial cuff. Other hemodynamic parameters that were obtained during the same measurement using inbuilt algorithms included blood pressure (both peripheral and central), mean arterial pressure (MAP), and heart rate (HR). In addition to aPWV, central pulse pressure (cPP) was also used as indicator of aortic stiffness.31,32 cPP was defined as the difference between central systolic blood pressure (SBP) and central diastolic blood pressure (DBP). The measurement was carried out in every participant. However, we excluded participants in which the device was not able to conduct a proper wave analysis due to technical issues.

Health-Related Quality of Life

The Euro QoL-5-dimensions (EQ-5D) questionnaire was used to measure HRQOL.33 The 5-level EQ-5D questionnaire has been validated in a variety of patient groups in six different countries, including the Netherlands.34 The questionnaire consists of two parts: a descriptive profile and a visual analogue scale (VAS). The descriptive part of the questionnaire provides information on the following five dimensions: mobility, self-care, daily activities, pain and discomfort, and anxiety and depression. A five-level Likert scale from no problems to being unable to function on the specific domain was used to gather information about the specific domains. This information was then converted into a single index value that informs on the overall HRQOL.35 To calculate the EQ-5D index, a formula is used that weighs each dimension value with a tariff specific for the country at stake. The Dutch tariff was used in this study.36 The index value is depicted on a scale with 0 indicating death and 1 indicating full health. The EQ-5D VAS is a 20 cm scale from 0 to 100 in which respondents can fill out their current state of health. Zero equals the worst imaginable health status and 100 the best imaginable health status.

Statistical Analysis

Statistical analyses were performed using IBM SPSS Statistics version 24 for Windows. Participants with missing values for the aortic stiffness parameters were excluded. Descriptive statistics were expressed as percentage for categorical variables, mean and standard deviation (±SD) for continuous normally distributed variables, and median and interquartile ranges [IQR] for continuous non-normally distributed variables. Participants with an EQ-5D index value of 1 were classified as “no problem on any dimension” (group 1), participants with an EQ-5D index value lower than 1 were classified as “any problem on the five dimensions” (group 2). First, characteristics were compared between these groups using the Mann–Whitney U-test and t-test for continuous variables. The Chi-square test was used to compare percentages. An analysis of covariance (ANCOVA) was used to investigate the possible association between aortic stiffness and the dichotomized version of EQ-5D index. Mean levels of aPWV and cPP were compared between these groups using two different models. Mean levels of pDBP and cDBP were also compared between these groups. We have identified potential covariates and included covariates with a p-value < 0.1 in the adjusted models when appropriate. Model 1 was adjusted for age, sex, mean arterial pressure and heart rate. Model 2 was additionally adjusted for Cumulative Illness Rating Scale (total score). A multivariable linear regression model was built to investigate the possible association between aortic stiffness (aPWV and cPP) and the EQ-5D VAS using the same models. A p-value of <0.05 was considered statistically significant.


In total, 280 of the 301 Dutch participants were included in the study, 21 participants were not included due to missing values of aortic stiffness. Characteristics are shown in Table 1. Median age was 79 years [IQR 76–83] and 42.1% were women. Few participants were ADL dependent (15.4%) and 48.6% of the participants were iADL dependent. Over 70% of the 280 participants had hypertension, 26.4% diabetes mellitus, 23.6% a history of malignancy, 21.1% COPD, 20.4% a history of stroke and 17.1% atrial fibrillation. The mean score on the cumulative illness rating scale (CIRS) was 12.8±4.9 and the mean severity index of the CIRS was 1.8±0.3. The maximum value of 1 on the EQ-5D index (no problems) was scored by 66 participants (23.6%). Participants reporting any problem on the EQ-5D index (76.4%) were older, more often women, more often iADL dependent, had higher scores on the geriatric depression scale and also higher comorbidity rates than those without problems on the EQ-5D index, which resulted in a higher CIRS total score (mean values 13.4±4.9 vs 10.9±4.4, p < 0.001). Characteristics stratified for problems on the EQ-5D index are also presented in Table 1.

Table 1 Participants’ Characteristics (n=280)

Participants with any problem on the EQ-5D index had lower peripheral (pDBP) and central DBP (cDBP) than participants without problems on the EQ-5D index. Mean values were 84.1±10.9 vs 88.4±11.8 mmHg (p=0.006) and 85.7±11.0 vs 90.3±11.8 mmHg (p=0.004), respectively. Also, participants with any problem on the EQ-5D index had higher values of aPWV than participants without problems on the EQ-5D index (p=0.024). Mean values were 12.6±1.3 and 12.2±0.9 m/s, respectively.

Table 2 shows the characteristics of the EQ-5D outcome measures. Median EQ-5D index was 0.86 [IQR 0.81–0.91] and the mean EQ-5D VAS was 74.9±14.8. No problems were reported by 42.5% of participants on mobility, 92.5% on self-care, 78.9% on daily activities, 44.6% on pain and discomfort, and 83.6% on anxiety and depression.

Table 2 Characteristics of Health-Related Quality of Life (n=280)

Figure 1 shows the mean levels of aortic stiffness according to EQ-5D index status (no problem vs any problem). The mean values of aPWV were higher in the any problem group than in the no problem group (12.52 m/s vs 12.39 m/s, p = 0.024). In model 2, the mean aPWV values remained unchanged with a 0.12 m/s higher mean aPWV in the group with any problem (p = 0.041). The mean values of cPP were 3.3 mmHg higher in the any problem group than in the no problem group (44.6 mmHg vs 41.3 mmHg, p = 0.042). This difference persisted in model 2 (44.6 mm Hg vs 41.2 mmHg, p = 0.041).

Figure 1 Mean values of aortic stiffness according to EQ-5D index status (n=280). Notes: (A and B): aortic Pulse Wave Velocity (aPWV) in m/s; (C and D): central Pulse Pressure (cPP) in mmHg. Model 1: adjusted for age, sex, mean arterial pressure and heart rate; Model 2: additionally adjusted for Cumulative Illness Rating Scale total score. Dots represent mean values, bars represent 95% confidence intervals.

Mean levels of pDBP and cDBP were also compared between the two groups (no problem vs any problem). However, in multivariate analysis in both model 1 and model 2, mean values did not differ between groups (data not shown). A trend was observed between aPWV and EQ-5D VAS in model 1. Per m/s increase in aPWV, the EQ-5D VAS score changed with −4.15 (95% CI −8.71–0.42), whereas no association was found in model 2. No association was found between cPP and the EQ-5D VAS. In model 1, B coefficient and 95% CI for cPP were −0.05 (−0.21–0.11); Estimates in model 2 were only slightly changed.


In this exploratory study, we found that aortic stiffness, assessed as aortic pulse wave velocity and central pulse pressure, was associated with an impaired quality of life in people of 75 years and over. This association in late life was independent of age, blood pressure levels, and comorbidities.

Several mechanisms might explain our results. First, the association between aortic stiffness and quality of late life could be mediated by impaired physical health. Aortic stiffness is known to play an important role in the development and progression of diseases in end-organs and the presence of these diseases could affect the quality of life.37 However, the association between aortic stiffness and quality of life persisted even after adjustment for cumulative comorbidities suggesting an independent role of aortic stiffness. Second, impaired mental health could also mediate the association between aortic stiffness and quality of life. Elevated aortic stiffness can lead to cerebral small vessel disease, which is associated with cognitive decline as well as mood disturbances.15,3840 It is very well possible that quality of life questionnaires might be able to detect vascular pathology already in a subclinical stage. Subclinical vascular damage could be already revealed in measures of quality of life before it results in multiple physical and mental comorbidities. An increase in aPWV of 1 m/s amplifies the risk of cardiovascular morbidity and mortality as well as all-cause mortality by 15%.10 In this study, we found 0.12 m/s higher aPWV and 3.4 mmHg higher cPP in participants with poorer quality of life indexes. Although an increase in aPWV of 0.12 m/s or 3.4 mmHg higher cPP may seem relatively modest and the effect size is small, these differences could already have an impact on daily functioning, both physically and mentally. Therefore, aortic stiffness might be a tissue biomarker reflecting the vitality status of the single individual. In addition, aortic stiffness determines high mean SBP levels and low DBP levels, and consequently a wide pulse pressure.41 It can be speculated that aortic stiffness together with consequent aberrant hemodynamic changes can affect quality of life by determining cardiovascular morbidity. It cannot be excluded that lower quality of life may also have an effect on aortic stiffness. It has been suggested that lower quality of life also represents people with lower social support or more depressive symptoms.42,43 As result of this, it could be hypothesized that lower quality of life might also affect (hypertension) treatment compliance and therefore deterioration of health which negatively affects the function of the arteries. In addition, lower mobility and the presence of depressive symptoms and pain may also perpetuate a physically inactive lifestyle, which is associated with a change in vascular function and increase in stiffness.44

We found a discrepancy in the results of the EQ-5D index and the EQ-VAS. This discrepancy could be explained by the nature of the questionnaires. Noticing and reporting actual disabilities in daily life in the EQ-5D index does not necessarily mean that the self-perceived health on the EQ-VAS is scored as worse. Namely since in the EQ-VAS, an individual values his or her health position in life in the context of cultural and social aspects. In other words, these two questionnaires score different aspects of quality of life. Another well-known problem with the EQ-VAS is the end-of-scale bias which results in small numbers of extreme values, which could make the EQ-VAS less reliable than the EQ-5D index.

Some aspects of this study need further consideration. First, the cross-sectional study design does not allow to draw causal inferences. Second, the sample size was relatively small and the population consisted of outpatient older persons. This could affect the power to investigate possible associations between aortic stiffness and quality of life. However, despite the limited number of participants and the possible selection bias, we were able to detect significant differences with a small effect size between those with and without problems in quality of life. The difference in cPP reached statistical significance in adjusted models, which might suggest that this result is due to chance or that the sample size for this specific analysis is underpowered. In a larger and more heterogeneous population, these differences might be amplified. Third, we measured aortic stiffness with an oscillometric method. This method is validated and gives reliable results when compared to invasive measurements,30 however, the predictive value of this measurement to cardiovascular outcomes has not been investigated. One of the strengths of this study is the fact that we categorized EQ-5D index into no problem and any problem. The splitting partly resolved the problem of skewed values, but this made the results also more relevant in clinical practice. Another strength is the use of several markers of aortic stiffness such as aPWV and cPP. These central measures play a fundamental role in end organ disease and are therefore accurate and clinically relevant markers.32,37

The association between aortic stiffness and quality of life has been investigated before. Nevertheless, most previous studies did not observe an effect on overall HRQOL but only on the physical component of the HRQOL.21,23,24,27 Only one study has described an effect on overall HRQOL.25 However, this study was performed in a very small sample of 56 patients undergoing surgical aortic valve replacement. Our study sample differed from previous studies, since we have focussed on a specific population of older patients in late life, whereas the previous studies have focussed on younger patients or specific patient categories.


In conclusion, aortic stiffness was associated with impaired quality of life in people of 75 years and over. This association in late life was independent of age and other cardiovascular risk factors and might be mediated by subclinical vascular pathology affecting mental and physical health. Future research is required to establish whether aortic stiffness has a predictive value for a deterioration in quality of life.


The authors thank all the investigators of the SCOPE consortium for the collaboration within the SCOPE project. The authors would like to thank Anneke Snel, medical student at the Erasmus MC, University Medical Center Rotterdam, for her input within the data processing. The authors would also like to thank Wave Medical BV Heerenveen, the Netherlands, for logistic support for performing this study (Mobil-o-graph device).


Part of this work was supported by the European Union Horizon 2020 program [grant number 634869]. The authors report no other conflicts of interest in this work.


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