Arterial Ageing

Lee, Seung-Jun; Park, Sungha

doi:10.4070/kcj.2013.43.2.73

Cited by 43 publications

(31 citation statements)

References 55 publications

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“…Premature increase in arterial stiffness has been considered a risk factor for cardiovascular disease. The arterial stiffness of a subject increases with age, hypertension, and diabetes mellitus in addition to other factors (Lee and Park 2013). Different methods and devices are used to estimate arterial stiffness (Laurent et al 2006, Woodman et al 2005.…”

Section: Introductionmentioning

confidence: 99%

Photoplethysmographic signal waveform index for detection of increased arterial stiffness

et al. 2014

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The aim of this research was to assess the validity of the photoplethysmographic (PPG) waveform index PPGAI for the estimation of increased arterial stiffness. For this purpose, PPG signals were recorded from 24 healthy subjects and from 20 type II diabetes patients. The recorded PPG signals were processed with the analysis algorithm developed and the waveform index PPGAI similar to the augmentation index (AIx) was calculated. As a reference, the aortic AIx was assessed and normalized for a heart rate of 75 bpm (AIx@75) by a SphygmoCor device. A strong correlation (r = 0.85) between the PPGAI and the aortic AIx@75 and a positive correlation of both indices with age were found. Age corrections for the indices PPGAI and AIx@75 as regression models from the signals of healthy subjects were constructed. Both indices revealed a significant difference between the groups of diabetes patients and healthy controls. However, the PPGAI provided the best statistical discrimination for the group of subjects with increased arterial stiffness. The waveform index PPGAI based on the inexpensive PPG technology can be considered as a perspective measure of increased arterial stiffness estimation in clinical screenings.

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Section: Introductionmentioning

confidence: 99%

Photoplethysmographic signal waveform index for detection of increased arterial stiffness

et al. 2014

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“…lifestyle and other effect modifiers) could have an effect on the penetrance of these alleles. Previous studies have shown that arterial stiffness is strongly influenced by factors such as age, blood pressure, dyslipidemia, diabetes, renal function and inflammation (14,15). The results from this study suggest that the main determinants of arterial stiffness are exogenous risk factors rather than genetic risk factors.…”

Section: Discussionmentioning

confidence: 54%

Lack of association between arterial stiffness and genetic variants by genome-wide association scan

et al. 2015

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“…Second, it is noted that the arterial stiffness of a subject increase with age and cardiovascular disease. [13] Although the arterial stiffness is only one factor to cause the cardiovascular disease, we still should try to estimate the cardiovascular disease by the parameter associated with arterial stiffness in the future study, and compare the result with WI, which will help us to modify the WI for more accuracy and effect. …”

Section: Discussionmentioning

confidence: 99%

Development of a new characteristic parameter – waveform index of finger blood volume pulse

Yang

Zhang

et al. 2016

Computer Assisted Surgery

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Background: Finger blood volume pulse (F-BVP) contains abundant human cardiovascular system information, including information regarding circulation in the heart, blood vessel function, and the microcirculation system. Pulse waveform analysis is a method for analyzing F-BVP. Methods and results: A new parameter of F-BVP, called waveform index (WI), was extracted, defined, subsequently compared between groups of different cardiovascular function, and compared with age and systolic blood pressure. WI values of the negative and positive groups were 0.209 ± 0.066 (p < .001) and 0.305 ± 0.066 (p < .001), respectively. The classification threshold value of WI was 0.24, revealing a sensitivity of 77%, a specificity of 68% and a classification accuracy of 73%. The odds ratio (OR) was 7.164, indicating that subjects with WI >0.24 had a 7.164 times greater risk of suffering from cardiovascular disease than of not suffering from cardiovascular disease. Age and systolic blood pressure had consistent correlation with WI, in addition, WI had the same trend with age and systolic blood pressure. Conclusion: Because WI of F-BVP was determined according to only F-BVP waveform and increases in age and systolic blood pressure, different values of WI represent different cardiovascular physiological conditions. To a certain extent, the changes of WI reflect the changes of human cardiovascular function. Therefore, WI has the potential to be widely used in disease screening and clinical practice.

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Arterial Ageing

Cited by 43 publications

References 55 publications

Photoplethysmographic signal waveform index for detection of increased arterial stiffness

Photoplethysmographic signal waveform index for detection of increased arterial stiffness

Lack of association between arterial stiffness and genetic variants by genome-wide association scan

Development of a new characteristic parameter – waveform index of finger blood volume pulse

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