Vascular structure and function and their relationship with health-related quality of life in the MARK study

Luis García-Ortiz, José I Recio-Rodríguez, Sara Mora-Simón, John Guillaumet, Ruth Martí, Cristina Agudo-Conde, Emiliano Rodriguez-Sanchez, Jose A Maderuelo-Fernandez, Rafel Ramos-Blanes, Manuel A Gómez-Marcos, MARK Group, Luis García-Ortiz, José I Recio-Rodríguez, Sara Mora-Simón, John Guillaumet, Ruth Martí, Cristina Agudo-Conde, Emiliano Rodriguez-Sanchez, Jose A Maderuelo-Fernandez, Rafel Ramos-Blanes, Manuel A Gómez-Marcos, MARK Group

Abstract

Background: There is limited evidence concerning the relationship between vascular disease and health-related quality of life (HRQL). We investigated the relationship between vascular structure and function with health-related quality of life in a population with intermediate cardiovascular risk.

Methods: This study analyzed 303 subjects with ankle-brachial index (ABI) values ranging from 0.9 to 1.4 who were included in the MARK study (age 35 to 74 years; mean:60.5 ± 8.5), of which 50.2 % were women. Measurements included: ABI, brachial-ankle pulse wave velocity (ba-PWV), and cardio-ankle vascular index (CAVI), all measured using the VaSera device. The central augmentation index was adjusted to 75 lpm (AIx_75) using the Mobil-O-Graph device. HRQL was assessed by the Spanish version of the SF-12, version2. The highest obtained CAVI and ba-PWV values and the lowest ABI values were considered for the study.

Results: The cohort was composed of21 % smokers, 76 % hypertensive patients, and 24 % diabetic patients. The ABI mean was 1.09 ± 0.07,the ba-PWV mean was 14.64 ± 2.55 m/s with a 12.9 % of subjects higher than 17.5 m/s, AIx_75 26.46 ± 14.05, and CAVI 8.61 ± 1.08 with a 36.6 % of subjects higher than 9. Men scored higher than women in the HRQL measurements for physical (PSC-12; 49.9 vs. 46.9, p = 0.004) and mental (MSC-12) domains (51.2 vs. 47.7, p = 0.003). Age was positively correlated with CAVI (r = 0.547), ba-PWV (r = 0.469), AIx_75 (r = 0.255, p < 0.01), and the MSC-12 (r = 0.147, p < 0.05), but not the PSC-12. In the adjusted multiple linear regression analysis, the positive association of ABI and CAVI with the PSC-12 was maintained.

Conclusions: The ABI in the normal range has a positive association with the PSC-12 of HRQL evaluated with the SF-12. The CAVI also showed a positive association with the PSC-12 of HRQL.

Trial registration: ClinicalTrials.gov Identifier: NCT01428934 .

Keywords: Ankle-brachial index; Arterial stiffness; Augmentation index; Brachial ankle pulse wave velocity; Cardio-ankle vascular index; Health-related quality of life.

Figures

Fig. 1
Fig. 1
Marginal means of standardized physical (PCS-12) and mental (MCS-12) components by CAVI categories. P < 0.05 by Multivariate General Lineal Model (MANOVA) using LSD post hoc test. Unadjusted: PCS-12: CAVI < 8 with > 9. MCS-12: CAVI 8–9 with > 9. Adjusted: PCS-12: CAVI < 8 with > 9. MCS-12: CAVI < 8 with 8–9 and 8-9 with > 9. Adjusted for age, gender, current smoker, alcohol consumption in gr/week, physical activity (METs-min 14 days), diet quality index, mean blood pressure, atherogenic index (Total Cholesterol/HDL-Cholesterol), HbA1c and antihypertensive and lipid-lowering drugs. CAVI: Cardio Ankle Vascular index, SE: Standard error

References

    1. Stevens GD, Shi L, Vane C, Nie X, Peters AL. Primary care medical home experience and health-related quality of life among adult medicaid patients with type 2 diabetes. J Gen Intern Med. 2015;30(2):161–8. doi: 10.1007/s11606-014-3033-4.
    1. Weldam SW, Lammers JW, Heijmans MJ, Schuurmans MJ. Perceived quality of life in chronic obstructive pulmonary disease patients: a cross-sectional study in primary care on the role of illness perceptions. BMC Fam Pract. 2014;15:140. doi: 10.1186/1471-2296-15-140.
    1. Schmidt S, Vilagut G, Garin O, Cunillera O, Tresserras R, Brugulat P, Mompart A, Medina A, Ferrer M, Alonso J. Reference guidelines for the 12-Item Short-Form Health Survey version 2 based on the Catalan general population. Med Clin (Barc) 2012;139(14):613–25. doi: 10.1016/j.medcli.2011.10.024.
    1. Varni JW, Seid M, Rode CA. The PedsQL: measurement model for the pediatric quality of life inventory. Med Care. 1999;37(2):126–39. doi: 10.1097/00005650-199902000-00003.
    1. De Smedt D, Clays E, Annemans L, Pardaens S, Kotseva K, De Bacquer D. Risk factor awareness in a coronary population and the association with health-related quality of life outcomes. Int J Public Health. 2014;59(3):475–83. doi: 10.1007/s00038-014-0551-0.
    1. Vilagut G, Valderas JM, Ferrer M, Garin O, Lopez-Garcia E, Alonso J. Interpretation of SF-36 and SF-12 questionnaires in Spain: physical and mental components. Med Clin (Barc) 2008;130(19):726–35. doi: 10.1157/13121076.
    1. Fowkes FG, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE, Folsom AR, Hirsch AT, Dramaix M, deBacker G, et al. Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA. 2008;300(2):197–208. doi: 10.1001/jama.300.2.197.
    1. Korhonen PE, Seppala T, Kautiainen H, Jarvenpaa S, Aarnio PT, Kivela SL. Ankle-brachial index and health-related quality of life. Eur J Prev Cardiol. 2012;19(5):901–7. doi: 10.1177/1741826711420346.
    1. Long J, Modrall JG, Parker BJ, Swann A, Welborn MB, 3rd, Anthony T. Correlation between ankle-brachial index, symptoms, and health-related quality of life in patients with peripheral vascular disease. J Vasc Surg. 2004;39(4):723–7. doi: 10.1016/j.jvs.2003.12.006.
    1. Chen LC, Kuo LY, Tsao YF, Hong LS, Wang CS, Lee CC, Lin LJ, Chou CY, Tsieng YH. The association between ankle-brachial index and quality of life in chronic hemodialysis patients. Angiology. 2010;61(6):537–40. doi: 10.1177/0003319709360028.
    1. Allison MA, Hiatt WR, Hirsch AT, Coll JR, Criqui MH. A high ankle-brachial index is associated with increased cardiovascular disease morbidity and lower quality of life. J Am Coll Cardiol. 2008;51(13):1292–8. doi: 10.1016/j.jacc.2007.11.064.
    1. Marrugat J, Vila J, Baena-Diez JM, Grau M, Sala J, Ramos R, Subirana I, Fito M, Elosua R. Relative validity of the 10-year cardiovascular risk estimate in a population cohort of the REGICOR study. Rev Esp Cardiol. 2011;64(5):385–94. doi: 10.1016/j.recesp.2010.12.011.
    1. Allen J, Inder KJ, Harris ML, Lewin TJ, Attia JR, Kelly BJ. Quality of life impact of cardiovascular and affective conditions among older residents from urban and rural communities. Health Qual Life Outcomes. 2013;11:140. doi: 10.1186/1477-7525-11-140.
    1. Aboyans V, Criqui MH, Abraham P, Allison MA, Creager MA, Diehm C, Fowkes FG, Hiatt WR, Jonsson B, Lacroix P, et al. Measurement and interpretation of the ankle-brachial index: a scientific statement from the American Heart Association. Circulation. 2012;126(24):2890–909. doi: 10.1161/CIR.0b013e318276fbcb.
    1. Mitchell GF, Hwang SJ, Vasan RS, Larson MG, Pencina MJ, Hamburg NM, Vita JA, Levy D, Benjamin EJ. Arterial stiffness and cardiovascular events: the Framingham Heart Study. Circulation. 2010;121(4):505–11. doi: 10.1161/CIRCULATIONAHA.109.886655.
    1. Mattace-Raso FU, van der Cammen TJ, Hofman A, van Popele NM, Bos ML, Schalekamp MA, Asmar R, Reneman RS, Hoeks AP, Breteler MM, et al. Arterial stiffness and risk of coronary heart disease and stroke: the Rotterdam Study. Circulation. 2006;113(5):657–63. doi: 10.1161/CIRCULATIONAHA.105.555235.
    1. Shirai K, Hiruta N, Song M, Kurosu T, Suzuki J, Tomaru T, Miyashita Y, Saiki A, Takahashi M, Suzuki K, et al. Cardio-ankle vascular index (CAVI) as a novel indicator of arterial stiffness: theory, evidence and perspectives. J Atheroscler Thromb. 2011;18(11):924–38. doi: 10.5551/jat.7716.
    1. Kanamoto M, Matsumoto N, Shiga T, Kunimoto F, Saito S. Relationship between coronary artery stenosis and cardio-ankle vascular index (CAVI) in patients undergoing cardiovascular surgery. J Cardiovasc Dis Res. 2013;4(1):15–9. doi: 10.1016/j.jcdr.2013.02.001.
    1. Brunner EJ, Shipley MJ, Witte DR, Singh-Manoux A, Britton AR, Tabak AG, McEniery CM, Wilkinson IB, Kivimaki M. Arterial stiffness, physical function, and functional limitation: the Whitehall II Study. Hypertension. 2011;57(5):1003–9. doi: 10.1161/HYPERTENSIONAHA.110.168864.
    1. Crilly MA, Clark HJ, Kumar V, Scott NW, MacDonald AG, Williams DJ. Relationship between arterial stiffness and Stanford Health Assessment Questionnaire disability in rheumatoid arthritis patients without overt arterial disease. J Rheumatol. 2010;37(5):946–52. doi: 10.3899/jrheum.091052.
    1. Marti R, Parramon D, Garcia-Ortiz L, Rigo F, Gomez-Marcos MA, Sempere I, Garcia-Regalado N, Recio-Rodriguez JI, Agudo-Conde C, Feuerbach N, et al. Improving interMediAte risk management. MARK study BMC Cardiovasc Disord. 2011;11:61. doi: 10.1186/1471-2261-11-61.
    1. Marrugat J, D'Agostino R, Sullivan L, Elosua R, Wilson P, Ordovas J, Solanas P, Cordon F, Ramos R, Sala J, et al. An adaptation of the Framingham coronary heart disease risk function to European Mediterranean areas. J Epidemiol Community Health. 2003;57(8):634–8. doi: 10.1136/jech.57.8.634.
    1. Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, De Backer G, De Bacquer D, Ducimetiere P, Jousilahti P, Keil U, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J. 2003;24(11):987–1003. doi: 10.1016/S0195-668X(03)00114-3.
    1. Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Bohm M, Christiaens T, Cifkova R, De Backer G, Dominiczak A, et al. 2013 ESH/ESC Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC) J Hypertens. 2013;31(7):1281–357. doi: 10.1097/.
    1. Parker SL, Godil SS, Shau DN, Mendenhall SK, McGirt MJ. Assessment of the minimum clinically important difference in pain, disability, and quality of life after anterior cervical discectomy and fusion: clinical article. J Neurosurg Spine. 2013;18(2):154–60. doi: 10.3171/2012.10.SPINE12312.
    1. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013, 310(20):2191–2194.
    1. Andresen EM, Meyers AR. Health-related quality of life outcomes measures. Arch Phys Med Rehabil. 2000;81(12 Suppl 2):S30–45. doi: 10.1053/apmr.2000.20621.
    1. Ware J, Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33. doi: 10.1097/00005650-199603000-00003.
    1. Takaki A, Ogawa H, Wakeyama T, Iwami T, Kimura M, Hadano Y, Matsuda S, Miyazaki Y, Matsuda T, Hiratsuka A, et al. Cardio-ankle vascular index is a new noninvasive parameter of arterial stiffness. Circ J. 2007;71(11):1710–4. doi: 10.1253/circj.71.1710.
    1. Kubozono T, Miyata M, Ueyama K, Nagaki A, Otsuji Y, Kusano K, Kubozono O, Tei C. Clinical significance and reproducibility of new arterial distensibility index. Circ J. 2007;71(1):89–94. doi: 10.1253/circj.71.89.
    1. Yamashina A, Tomiyama H, Takeda K, Tsuda H, Arai T, Hirose K, Koji Y, Hori S, Yamamoto Y. Validity, reproducibility, and clinical significance of noninvasive brachial-ankle pulse wave velocity measurement. Hypertens Res. 2002;25(3):359–64. doi: 10.1291/hypres.25.359.
    1. Kawai T, Ohishi M, Onishi M, Ito N, Takeya Y, Maekawa Y, Rakugi H. Cut-off value of brachial-ankle pulse wave velocity to predict cardiovascular disease in hypertensive patients: a cohort study. J Atheroscler Thromb. 2013;20(4):391–400. doi: 10.5551/jat.15040.
    1. Wassertheurer S, Kropf J, Weber T, van der Giet M, Baulmann J, Ammer M, Hametner B, Mayer CC, Eber B, Magometschnigg D. A new oscillometric method for pulse wave analysis: comparison with a common tonometric method. J Hum Hypertens. 2010;24(8):498–504. doi: 10.1038/jhh.2010.27.
    1. Weiss W, Gohlisch C, Harsch-Gladisch C, Tolle M, Zidek W, van der Giet M. Oscillometric estimation of central blood pressure: validation of the Mobil-O-Graph in comparison with the SphygmoCor device. Blood Press Monit. 2012;17(3):128–31. doi: 10.1097/MBP.0b013e328353ff63.
    1. Elosua R, Garcia M, Aguilar A, Molina L, Covas MI, Marrugat J. Validation of the Minnesota Leisure Time Physical Activity Questionnaire In Spanish Women. Investigators of the MARATHON Group. Med Sci Sports Exerc. 2000;32(8):1431–7. doi: 10.1097/00005768-200008000-00011.
    1. Elosua R, Marrugat J, Molina L, Pons S, Pujol E. Validation of the Minnesota Leisure Time Physical Activity Questionnaire in Spanish men. The MARATHOM Investigators. Am J Epidemiol. 1994;139(12):1197–209.
    1. Schroder H, Benitez Arciniega A, Soler C, Covas MI, Baena-Diez JM, Marrugat J. Validity of two short screeners for diet quality in time-limited settings. Public Health Nutr. 2012;15(4):618–26. doi: 10.1017/S1368980011001923.
    1. O'Brien E, Asmar R, Beilin L, Imai Y, Mancia G, Mengden T, Myers M, Padfield P, Palatini P, Parati G, et al. Practice guidelines of the European Society of Hypertension for clinic, ambulatory and self blood pressure measurement. J Hypertens. 2005;23(4):697–701. doi: 10.1097/01.hjh.0000163132.84890.c4.
    1. Kidher E, Harling L, Nihoyannopoulos P, Shenker N, Ashrafian H, Francis DP, Mayet J, Athanasiou T. High aortic pulse wave velocity is associated with poor quality of life in surgical aortic valve stenosis patients. Interact Cardiovasc Thorac Surg. 2014;19(2):189–97. doi: 10.1093/icvts/ivu156.
    1. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: dimensions and practical applications. Health Qual Life Outcomes. 2003;1:20. doi: 10.1186/1477-7525-1-20.

Source: PubMed

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