BACKGROUND: Microalbuminuria is a risk factor for coronary heart disease (CHD). It occurs most commonly in the settings of diabetes and hypertension. The mechanisms by which it increases CHD risk are uncertain. METHODS: We examined the cross-sectional association of microalbuminuria with a broad range of CHD risk factors in 3 groups of adults aged 65 years or older with and without microalbuminuria: those with (1) no diabetes or hypertension (n = 1,098), (2) hypertension only (n = 1,450), and (3) diabetes with or without hypertension (n = 465). RESULTS: Three factors were related to microalbuminuria in all 3 groups: age, elevated systolic blood pressure, and markers of systemic inflammation. In patients with neither diabetes nor hypertension, increasing C-reactive protein levels were associated with microalbuminuria (odds ratio per 1-mg/L increase, 1.46; 95% confidence interval [CI], 1.15 to 1.84). Among those with diabetes, an increase in white blood cell (WBC) count was associated with microalbuminuria (odds ratio per 1,000-cell/mL increase, 2.57; 95% CI, 1.12 to 5.89). Among those with hypertension, an increase in WBC count (odds ratio per 1,000-cell/mL increase, 1.83; 95% CI, 1.04 to 3.23) and fibrinogen level (odds ratio per 10-mg/dL increase, 1.02; 95% CI, 1.00 to 1.05) were significantly associated with microalbuminuria. In all 3 groups, prevalent CHD was related to an elevated WBC count. In none of the 3 groups was brachial artery reactivity to ischemia, an in vivo marker of endothelial function, related to microalbuminuria. CONCLUSION: Microalbuminuria is associated with age, systolic blood pressure, and markers of inflammation. These associations reflect potential mechanisms by which microalbuminuria is related to CHD risk.
BACKGROUND: Microalbuminuria is a risk factor for coronary heart disease (CHD). It occurs most commonly in the settings of diabetes and hypertension. The mechanisms by which it increases CHD risk are uncertain. METHODS: We examined the cross-sectional association of microalbuminuria with a broad range of CHD risk factors in 3 groups of adults aged 65 years or older with and without microalbuminuria: those with (1) no diabetes or hypertension (n = 1,098), (2) hypertension only (n = 1,450), and (3) diabetes with or without hypertension (n = 465). RESULTS: Three factors were related to microalbuminuria in all 3 groups: age, elevated systolic blood pressure, and markers of systemic inflammation. In patients with neither diabetes nor hypertension, increasing C-reactive protein levels were associated with microalbuminuria (odds ratio per 1-mg/L increase, 1.46; 95% confidence interval [CI], 1.15 to 1.84). Among those with diabetes, an increase in white blood cell (WBC) count was associated with microalbuminuria (odds ratio per 1,000-cell/mL increase, 2.57; 95% CI, 1.12 to 5.89). Among those with hypertension, an increase in WBC count (odds ratio per 1,000-cell/mL increase, 1.83; 95% CI, 1.04 to 3.23) and fibrinogen level (odds ratio per 10-mg/dL increase, 1.02; 95% CI, 1.00 to 1.05) were significantly associated with microalbuminuria. In all 3 groups, prevalent CHD was related to an elevated WBC count. In none of the 3 groups was brachial artery reactivity to ischemia, an in vivo marker of endothelial function, related to microalbuminuria. CONCLUSION: Microalbuminuria is associated with age, systolic blood pressure, and markers of inflammation. These associations reflect potential mechanisms by which microalbuminuria is related to CHD risk.
Authors: C A Geluk; R A Tio; J G P Tijssen; R B van Dijk; W A Dijk; H L Hillege; P E de Jong; W H van Gilst; F Zijlstra Journal: Neth Heart J Date: 2007 Impact factor: 2.380
Authors: Jennifer A Nettleton; Lyn M Steffen; Walter Palmas; Gregory L Burke; David R Jacobs Journal: Am J Clin Nutr Date: 2008-06 Impact factor: 7.045
Authors: Petra Bůžková; Joshua I Barzilay; Howard A Fink; John A Robbins; Jane A Cauley; Annette L Fitzpatrick Journal: J Clin Endocrinol Metab Date: 2014-08-22 Impact factor: 5.958
Authors: M I Aguilar; E S O'Meara; S Seliger; W T Longstreth; R G Hart; P E Pergola; M G Shlipak; R Katz; M J Sarnak; D E Rifkin Journal: Neurology Date: 2010-09-01 Impact factor: 9.910
Authors: J I Barzilay; P Bůžková; Z Chen; I H de Boer; L Carbone; N N Rassouli; H A Fink; J A Robbins Journal: Osteoporos Int Date: 2013-05-24 Impact factor: 4.507
Authors: Mohamed E Suliman; Mahmut I Yilmaz; Juan J Carrero; Abdul Rashid Qureshi; Mutlu Saglam; Osman M Ipcioglu; Mujdat Yenicesu; Mengli Tong; Olof Heimbürger; Peter Barany; Anders Alvestrand; Bengt Lindholm; Peter Stenvinkel Journal: Clin J Am Soc Nephrol Date: 2008-04-16 Impact factor: 8.237
Authors: David J Leehey; Irfan Moinuddin; Joseph P Bast; Shahzad Qureshi; Christine S Jelinek; Cheryl Cooper; Lonnie C Edwards; Bridget M Smith; Eileen G Collins Journal: Cardiovasc Diabetol Date: 2009-12-09 Impact factor: 9.951