The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Ambulatory Arterial Stiffness Index Derived From 24-Hour Ambulatory Blood Pressure Monitoring
Open accessAbstract
We hypothesized that 1 minus the slope of diastolic on systolic pressure during 24-hour ambulatory monitoring (ambulatory arterial stiffness index [AASI]) might reflect arterial stiffness. We compared AASI with established measures of arterial stiffness and studied its distribution in Chinese and European populations. We used 90207 SpaceLabs monitors and the SphygmoCor device to measure AASI, central and peripheral pulse pressures, the central (CAIx) and peripheral (PAIx) systolic augmentation indexes, and aortic pulse wave velocity. In 166 volunteers, the correlation coefficient between AASI and pulse wave velocity was 0.51 ( P <0.0001). In 348 randomly recruited Chinese subjects, AASI correlated ( P <0.0001) with CAIx ( r =0.48), PAIx ( r =0.50), and central pulse pressure ( r =0.50). AASI increased with age and mean arterial pressure but decreased with body height. Both before and after adjustment for arterial wave reflections by considering height and heart rate as covariates, AASI correlated more ( P <0.0001) closely with CAIx and PAIx than 24-hour pulse pressure. Among normotensive subjects, the 95th percentile of AASI was 0.55 in Chinese and 0.57 in 1617 Europeans enrolled in the International Database on Ambulatory Blood Pressure Monitoring. The upper boundary of the 95% prediction interval of AASI in relation to age ranged from 0.53 at 20 years to 0.72 at 80 years. In conclusion, AASI is a new index of arterial stiffness that can be easily measured under ambulatory conditions. Pending additional validation in outcome studies, normal values of AASI are probably <0.50 and 0.70 in young and older subjects, respectively.
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An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480
(2013) · European Heart Journal · doi:10.1093/eurheartj/eht151 · Cited by 13,655
(2003) · Journal of Hypertension · doi:10.1097/00004872-200306000-00001 · Cited by 3,027
Mancia, G., Rosei, E. A., Cífková, R., DeBacker, G., Erdine, S. E., Fagard, R., Farsang, C., Heagerty, A. M., Kawecka-Jaszcs, K., Kiowski, W., et al. (2003) · Lirias · doi:10.1097/01.hjh.0000059051.65882.32 · Cited by 2,601
Self-citationHemodynamic Patterns of Age-Related Changes in Blood Pressure: The Framingham Heart Study
Franklin, S. S., Gustin, W., Wong, N. D., Larson, M. G., Weber, M. A., Kannel, W. B., & Levy, D. (1997) · Circulation · doi:10.1161/01.cir.96.1.308 · Cited by 2,321
Mitchell, G. F., Parise, H., Benjamin, E. J., Larson, M. G., Keyes, M. J., Vita, J. A., Vasan, R. S., & Levy, D. (2004) · Hypertension · doi:10.1161/01.hyp.0000128420.01881.aa · Cited by 1,501
Safar, M. E., Levy, B. I., & Struijker-Boudier, H. (2003) · Circulation · doi:10.1161/01.cir.0000069826.36125.b4 · Cited by 1,197
Pauca, A. L., O’Rourke, M. F., & Kon, N. D. (2001) · Hypertension · doi:10.1161/hy1001.096106 · Cited by 1,179
Clinical applications of arterial stiffness; definitions and reference values
O'Rourke, M. F., Staessen, J. A., Vlachopoulos, C., Duprez, D., & Plante, G. E. E. (2002) · American Journal of Hypertension · doi:10.1016/s0895-7061(01)02319-6 · Cited by 1,100
Self-citationArterial stiffness, wave reflections, and the risk of coronary artery disease
Weber, T., Auer, J., O’Rourke, M. F., Kvas, E., Lassnig, E., Berent, R., & Eber, B. (2004) · Circulation · doi:10.1161/01.cir.0000105767.94169.e3 · Cited by 1,081
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(2013) · European Heart Journal · doi:10.1093/eurheartj/eht151 · Cited by 13,655
Mancia, G., Fagard, R., Narkiewicz, K., Redón, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Journal of Hypertension · doi:10.1097/01.hjh.0000431740.32696.cc · Cited by 5,655
European Society of hypertension position paper on ambulatory blood pressure monitoring
O’Brien, E., Parati, G., Stergiou, G., Asmar, R., Beilin, L., Bilo, G., Clement, D., de la Sierra, A., de Leeuw, P., Dolan, E., et al. (2013) · Journal of Hypertension · doi:10.1097/hjh.0b013e328363e964 · Cited by 1,419
Self-citationHansen, T. W., Thijs, L., Li, Y., Boggia, J., Kikuya, M., Björklund-Bodegård, K., Richart, T., Ohkubo, T., Jeppesen, J., Torp-Pedersen, C., et al. (2010) · Hypertension · doi:10.1161/hypertensionaha.109.140798 · Cited by 480
Self-citationMancia, G., Fagard, R., Narkiewicz, K., Redon, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Blood Pressure · doi:10.3109/08037051.2013.812549 · Cited by 426
Metadata
- Authors
- Li, Y., Wang, J.-G., Dolan, E., Gao, P.-J., Guo, H.-F., Nawrot, T., Stanton, A. V., Zhu, D.-L., O’Brien, E., & Staessen, J. A.
- Venue
- Hypertension
- Published
- 2006-03
- Volume
- 47
- Issue
- 3
- Pages
- 359-364
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2144140589
- Cited by
- 371
- References
- 29
- FWCI
- 18.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Li, Y., Wang, J.-G., Dolan, E., Gao, P.-J., Guo, H.-F., Nawrot, T., Stanton, A. V., Zhu, D.-L., O’Brien, E., & Staessen, J. A. (2006). Ambulatory Arterial Stiffness Index Derived From 24-Hour Ambulatory Blood Pressure Monitoring. Hypertension. https://doi.org/10.1161/01.hyp.0000200695.34024.4c
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