Determinants of the Brachial-Ankle Pulse Wave Velocity (baPWV) in Patients with Type 2 Diabetes Mellitus

제2형 당뇨병 환자의 상완-발목 맥파 속도(Brachial-Ankle Pulse Wave Velocity)에 영향을 미치는 인자

Lee, Seong-Woo;Yun, Kyung-Won;Yu, Yun-Sik;Lim, Hong-Kyu;Bae, Yung-Pil;Lee, Byung-Do;Kim, Bo-Hyun;Lee, Chang-Won
이성우;윤경원;유연식;임홍규;배영필;이병도;김보현;이창원

  • Published : 20080800

Abstract

Background: Pulse wave velocity (PWV) correlates with arterial distensibility and stiffness and is a useful method for evaluating the severity of systemic atherosclerosis in adults. Brachial-ankle PWV (baPWV) is affected by many different factors such as age, systolic blood pressure (SBP), sex, body mass index, waist to hip ratio, and HbA1c. We evaluated the determinants of baPWV in patients with type 2 diabetes mellitus. Methods: The study included 803 type 2 diabetic patients over age 30 who had their ankle brachial pressure index (ABI) and baPWV measured at Busan St. Mary`s Medical Center, Busan, Korea. Anthropometric parameters, blood pressure, pulse pressure, fasting plasma glucose, fasting insulin, HbA1c, lipid profile, high sensitivity C-reactive protein (hs-CRP), and microalbuminuria were checked concurrently. We also investigated tobacco and alcohol use by means of questionnaire. We then retrospectively analyzed the relationships between baPWV and various risk factors. Results: Differences between men and women were measured using the independence sample probate. Pearson correlation analysis confirmed the factors affecting the baPWV as follows: SBP, diastolic blood pressure, pulse pressure, age, waist circumference, gender, and duration of diabetes mellitus were positively correlated, and height and weight were negatively correlated. On aged-adjusted partial correlation, HbA1c, SBP, diastolic blood pressure, and pulse pressure were correlated. By multiple linear regression analysis, SBP, age, HbA1c, and weight were independent predictors of baPWV. Conclusion: The baPWV is principally affected by SBP and age in patients with type 2 diabetes mellitus.

연구배경: 동맥파 속도(pulse wave velocity, PWV)는 동맥의 팽창성, 경직도와 연관이 있으며, 성인에서 전신적인 죽상경화증의 중증도를 평가하는데 유용하게 사용할 수 있다. 나이 수축기 혈압 등이 맥파속도에 영향을 주는 인자로 알려져 있으나, 제2형 당뇨병 환자만을 대상으로 상완-발목 맥파속도에 영향을 미치는 인자에 대하여 알아보고자 하였다. 방법: 제2형 당뇨병으로 부산성모병원에서 치료 중인 30세 이상의 801명의 환자를 대상으로 ABI (ankle brachial pressure index), 상완-발목 맥파속도를 측정하였다. 대상자들은 성별, 나이, 흡연력, 음주력을 조사하였고, 혈압, 맥압, 지질농도, 공복혈당 및 공복인슐린, 당화혈색소, 고민감도 C-반응성 단백 등을 측정하였다. 상완-발목 맥파속도와 여러 위험인자들 간의 상관관계를 후향적으로 분석하였다. 결과: 남녀간의 차이는 독립표본 검증을 이용하였다. 상완-발목 맥파속도에 영향을 미치는 인자를 확인하기 위해Pearson 및 Spearman 방법으로 조사한 결과, 수축기 혈압, 이완기 혈압, 맥압, 나이, 허리둘레, 성별, 당뇨병 유병기간 등이 의미 있는 양의 상관관계를 보였고 키, 몸무게는 음의 상관관계를 보였다. 나이를 보정한 경우에는 당화혈색소, 수축기 혈압, 이완기 혈압, 맥압이 유의한 상관관계를 보였다. 상완-발목 맥파속도를 종속변수로 선형다중회귀분석을 한 결과 수축기 혈압, 나이, 당화혈색소, 몸무게와 유의한 상관관계를 보였다. 결론: 상완-발목 맥파속도는 여러 변수에 의해 영향을 받으며 수축기 혈압과 나이에 가장 영향을 받는다는 것을 알 수 있었다.

Keywords

References

  1. McGovern PG, Pankow JS, Shahar E, Doliszny KM, Folsom AR, Blackburn H, Luepker RV: Recent trends in acute coronary heart disease-mortality, morbidity, medical care, and risk factors. The Minnesota Heart Survey Intestigators. N Eng J Med 334:884-890, 1996 https://doi.org/10.1056/NEJM199604043341403
  2. Ridker PM, Rifai N, Rose L, Burning JE, Cook NR: Comparison of C-reactive protein and low-density lipoprotein cholesterol level in the prediction of first cardiovascular events. N Engl J Med 347:1557-1565, 2002 https://doi.org/10.1056/NEJMoa021993
  3. Laurent S, Boutouyrie P, Asmar R, Gautier I, Laloux B, Guize L, Ducimetiere P, Benetos A: Aortic stiffness is an independent predictor of all-cause and cardiovascular mortality in hypertensive patients. Hypertension 37:1236-1241, 2001 https://doi.org/10.1161/01.HYP.37.5.1236
  4. Timer O, Sestier F, Levy E: Metabolic syndrome X: a review Can J Cardiol 16:779-789, 2000
  5. Alexander CM, Landsman PB, Teutsch SM, Haffner SM: NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older. Diabetes 52:1210-1214, 2003 https://doi.org/10.2337/diabetes.52.5.1210
  6. O'Neal DN, Dragicevic G, Rowley KG, Ansari MZ, Balazs N, Jennkins A, Best JD: A cross-sectional study of the effects of type 2 diabetes and other cardiovascular risk factor on structure and function of nonstenotic arteries of the lower limb. Diabetes Care 26:199-205, 2003 https://doi.org/10.2337/diacare.26.1.199
  7. Sun K, Daimon M, Watanabe S, Komuro I, Masuda Y: The relation of pulse wave velocity by oscillometric and tonometric methods and clinical application studies. Jpn J Appl Physiol 32:81-86, 2002
  8. Oliver JJ, Webb DJ: Noninvasive assessment of arterial stiffness and risk of atherosclerotic events. Atheroscler Thromb Vasc Biol 23:554-566, 2003 https://doi.org/10.1161/01.ATV.0000060460.52916.D6
  9. Munakata M, Ito N, Nunokawa T, Toshinaga K: Utility of automated brachial ankle pulse wave velocity measurements in hypertensive patients. Am J Hypertens 16:653-657, 2003 https://doi.org/10.1016/S0895-7061(03)00918-X
  10. Kubo T, Miyata M, Minago S, Setoyama S, Maruyama I, Tei C: A simple oscillometric technique for determining new indices of arterial distensibility. Hypertens Res 25:351-358, 2002 https://doi.org/10.1291/hypres.25.351
  11. Benetos A, Waeber B, Izzo J, Mitchell G, Resnick L, Asmar R, Safar M: Influence of age, risk factor and renal disease on arterial stiffness: clinical applications. Am J Hypertens 15:1101-1108, 2002 https://doi.org/10.1016/S0895-7061(02)03029-7
  12. American Diabetic Association: Diagnosis and classification of diabetes mellitus. Diabetes Care 27:5-10, 2004 https://doi.org/10.2337/diacare.27.2007.S5
  13. Shoji T, Emoto M, Shinohara K, Kakiya R, Tsujimoto Y, Kishimoto H, Ishimura E, Tabata T, Nishizawa Y: Diabetes mellitus, aortic stiffness, and cardiovascular mortality in end-stage renal disease. J Am Soc Nephrol 12:2117-2124, 2001
  14. de Angelis L, Millasseau SC, Smith A, Viberti G, Jones RH, Ritter JM, Chowienczyk PJ: Sex difference in age-related stiffening of the aorta in subjects with type 2 diabetes. Hypertension 44:67-71, 2004 https://doi.org/10.1161/01.HYP.0000130482.81883.fd
  15. Choi KM, Lee KW, Sul HR, Seo JA, Oh JH, Kim SG, Kim NH, Baik SH, Choi DS: Brachial-ankle pulse wave velocity in Koreans with metabolic syndrome. J Kor Diabetes Assoc 28:36-44, 2004
  16. Michel E. Safar, Edward D. Frohlich: The arterial system in hypertension: a prospective view. Hypertension 26:10-14, 1995 https://doi.org/10.1161/01.HYP.26.1.10
  17. William R, Hiatt: Medical treatment of peripheral arterial disease and claudication. N Engl J Med 344:1608-1621, 2001 https://doi.org/10.1056/NEJM200105243442108
  18. Dormandy JA, Rutherford RB: Management of peripheral arterial disease(PAD). TASC Working Group. TransAtlantic Inter-Society Consensus (TASC). J Vasc Surg 31:S1-S296, 2000 https://doi.org/10.1016/S0741-5214(00)70062-0
  19. Asmar R, Benetos A, Topouchian J, Laurent P, Pannier B, Brisac A, Target R, Levy B: Assessment of arterial distensibility by automatic pulse wave velocity measurement: validation and clinical application studies. Hypertension 26:485-490, 1995 https://doi.org/10.1161/01.HYP.26.3.485
  20. Yokoyama H, Hirasawa K, Aoki T, Ishiyama M, Koyama K: Brachial-ankle pulse wave velocity measured automatically by oscillometric method is elevated in diabetic patients with incipient nephropathy. Diabet Med 20:942-945, 2003 https://doi.org/10.1046/j.1464-5491.2003.01043.x
  21. Kim KM, Kang SH, Cho DH, Kang HC, Chung DJ, Chung MY: Relationship between clinical course and measures of atherosclerosis in diabetic foot. Korean J Med 70:361-370, 2006
  22. Ohmori K, Emura S, Takashima T: Risk factors of atherosclerosis and aortic pulse wave velocity. Angiology. 51:53-60, 2000 https://doi.org/10.1177/000331970005100109