<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2013.34025</article-id><article-id pub-id-type="publisher-id">JDM-37386</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  The number of antihypertensive agents simply reflects the grade and the risk of atherosclerosis in patients with type 2 diabetes mellitus
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>iroyuki</surname><given-names>Ito</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mariko</surname><given-names>Abe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Masahiro</surname><given-names>Shinozaki</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Takashi</surname><given-names>Omoto</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shinya</surname><given-names>Nishio</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Masahide</surname><given-names>Furusho</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shinichi</surname><given-names>Antoku</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mizuo</surname><given-names>Mifune</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michiko</surname><given-names>Togane</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tsutomu</surname><given-names>Sanaka</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Diabetes, Metabolism and Kidney Disease, Edogawa Hospital, Tokyo, Japan</addr-line></aff><aff id="aff2"><addr-line>Lifestyle-Related Disease and CKD Center, Edogawa Hospital, Tokyo, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ito@edogawa.or.jp(II)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>30</day><month>09</month><year>2013</year></pub-date><volume>03</volume><issue>04</issue><fpage>161</fpage><lpage>167</lpage><history><date date-type="received"><day>7</day>	<month>August</month>	<year>2013</year></date><date date-type="rev-recd"><day>2</day>	<month>September</month>	<year>2013</year>	</date><date date-type="accepted"><day>10</day>	<month>September</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
    
   Aims: The associations between the number of antihypertensive agents being taken by type 2 diabetic patients and 1) the grade of atherosclerosis according to non-invasive surrogate markers for atherosclerosis and 2) the other risk factor for atherosclerosis, were cross-sectionally investigated. Methods: The association between the blood pressure control and the clinical characteristics was evaluated in 1359 patients with type 2 diabetes mellitus. Results: The number of antihypertensive agents was 1.5 &#177; 1.4 (2.0 &#177; 1.2 among the 990 patients with hypertension). The proportion of patients taking no antihypertensive agents was 29%, 22% were taking one, 29% were taking two and 21% of the patients were taking three or more antihypertensive agents. The value of the ankle-brachial pressure index significantly decreased with the increase in the number of antihypertensive agents even if the blood pressure was corrected to the target value. The values of brachial-ankle pulse wave velocity and carotid intima-media thickness were also increased. The prevalence of risk factors for atherosclerosis, such as obesity, hyperlipidemia, chronic kidney disease, hyperuricemia and anemia was significantly elevated with the number of agents. Conclusions: The number of antihypertensive agents simply reflects the grade and risk of atherosclerosis in patients with type 2 diabetes mellitus.   
    
 
</p></abstract><kwd-group><kwd>Hypertension; Antihypertensive Agents; Intima-Media Thickness; Ankle-Brachial Pressure Index; Pulse Wave Velocity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>It is well-recognized that atherosclerotic diseases are common in patients with type 2 diabetes mellitus. Hypertension is not only an independent risk factor for atherosclerosis, but is also common in the type 2 diabetic patients [1,2]. Furthermore, hypertension is a risk factor for the onset and progression of diabetic microand macrovascular complications, as well as hyperglycemia [3,4]. The risk for cardiovascular events synergistically increases in patients with both diabetes mellitus and hypertension [<xref ref-type="bibr" rid="scirp.37386-ref5">5</xref>]. Although the target blood pressure is recommended to be less than 130/80 mmHg in order to prevent diabetic vascular events [6,7], hypertension is often resistant to treatment in patients with type 2 diabetes mellitus [8,9]. It is difficult to control blood pressure using single agents, and combination therapy is needed in many diabetic patients with hypertension [9,10]. When examining patients with hypertension resistant to antihypertensive agents, it is important to re-evaluate the various causes such as lifestyle, body weight, smoking habit and excessive alcohol consumption, in addition to re-considering the medication. These are also risk factors for cardiovascular diseases, as well as hypertension and diabetes [6,7], therefore, it is possible that subjects requiring the combination therapy with antihypertensive agents may also have advanced atherosclerosis. Although the associations of cardiovascular events with the level of blood pressure achieved by medication or with the type of antihypertensive agents used have been reported previously [3,6,7,11-13], the relationship between atherosclerosis and the number of antihypertensive drugs required in the clinical setting has not yet been investigated. It is possible that hypertensive subjects requiring more antihypertensive agents show progressive vascular damage independent of the control of blood pressure.</p><p>In the present cross-sectional study, the associations between the number of antihypertensive agents being used by patients with type 2 diabetes mellitus and 1) the grade of atherosclerosis according to non-invasive surrogate markers for atherosclerosis and 2) the other risk factors for atherosclerosis were investigated. We consider that these results indicate the necessity of a more aggressive approach for the diabetic patients requiring intensive therapy for hypertension independently from the blood pressure control.</p></sec><sec id="s2"><title>2. METHODS</title><p>A population of 2107 patients diagnosed with type 2 diabetes mellitus who underwent consecutive treatments in the Department of Diabetes, Metabolism and Kidney Disease of Edogawa Hospital, Tokyo, Japan between April 2008 and March 2011, were screened for this study. For diagnosis of chronic kidney disease (CKD), 89 patients without urinalysis findings were excluded from the study. Because it is considered that a certain amount of time is required to adjust the dosage of antihypertensive agents, 653 subjects who were treated for less than 12 months were excluded from the study. Also excluded were 6 subjects whose blood pressure data were absent from their medical records following 12 months of treatment in our department. Finally, the associations between the number of antihypertensive agents being used and the clinical characteristics of the patients were evaluated in 1359 subjects who were treated for more than 12 months in the present cross-sectional study.</p><p>The blood pressure was measured twice with the subjects in the sitting position after a 5 minute rest. The lower value of the two measurements was used for the study. Hypertension was defined as a SBP ≥140 mmHg and/or a DBP ≥90 mmHg. The participants currently using antihypertensive medications were also classified as positive for hypertension. The diagnosis of hypertension for this cross-sectional study was performed according to the medical records at the final visit to our hospital. The target blood pressure was less than 130/80 mmHg according to the JNC7 [<xref ref-type="bibr" rid="scirp.37386-ref6">6</xref>] and the guidelines proposed by the European Society of Hypertension and of the European Society of Cardiology [<xref ref-type="bibr" rid="scirp.37386-ref7">7</xref>]. The selection of antihypertensive agents was determined by each patient’s physician during the treatment period.</p><p>The patients were divided into two categories according to their blood pressure status. Categories 1 and 2 were defined to include the subjects showing 1) SBP &lt;130 mmHg and DBP &lt;80 mmHg and 2) SBP ≥130 mmHg or DBP ≥80 mmHg, respectively.</p><p>The number of antihypertensive agents was expressed as the sum of the antihypertensive agents, such as thiazide diuretics, loop diuretics, aldosterone antagonists, alpha blockers, beta blockers, calcium channel blockers (CCBs), angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), renin inhibitors, and centrally-acting adrenergic drugs that were being used.</p><p>The obese individuals were defined as those having a body mass index ≥25.0 kg/m<sup>2</sup>.</p><p>The serum total cholesterol, LDL-cholesterol, HDLcholesterol and uric acid concentrations were measured with a TBA-200 FR NEO device using the Determiner L TC II, Determiner L LDL-C, Determiner L HDL-C and Determiner L UA instruments (Kyowa Medex Co., Ltd., Tokyo, Japan). Hyperlipidemia was defined by serum concentrations of total cholesterol ≥5.7 mmol/L, a LDLcholesterol level ≥3.6 mmol/L, or as patients who were already undergoing treatment with lipid-lowering agents. The triglyceride concentrations were not investigated in this study because fasting blood samples could not always be obtained for measurements. Hyperuricemia was defined by serum uric acid levels &gt;416 μmol/L or as patients using allopurinol according to the guidelines proposed by the Japanese Society of Gout and Nucleic Acid Metabolism [<xref ref-type="bibr" rid="scirp.37386-ref14">14</xref>].</p><p>Anemia was defined as a hemoglobin level &lt;135 g/L in men and 120 g/L in women according to the guidelines of the European Renal Association-European Dialysis and Transplantation Association<sup> </sup>[<xref ref-type="bibr" rid="scirp.37386-ref15">15</xref>] and the National Kidney Foundation [<xref ref-type="bibr" rid="scirp.37386-ref16">16</xref>].</p><p>The estimated glomerular filtration rate (eGFR) was calculated using the formula reported by Matsuo, et al. [<xref ref-type="bibr" rid="scirp.37386-ref17">17</xref>] This equation originated from the MDRD study group<sup> </sup>[<xref ref-type="bibr" rid="scirp.37386-ref18">18</xref>] arranged for Japanese individuals, and it is recommended by the Japanese Society of Nephrology: eGFR (mL/min/1.73m<sup>2</sup>) = 194 &#215; Scr<sup>−1.094</sup> &#215; Age<sup>−0.287</sup> &#215; 0.739 (if female).</p><p>CKD was defined as a decreased eGFR (&lt;60 mL/min/ 1.73 m<sup>2</sup>) and/or a urinary albumin-to-creatinine ratio (ACR) &gt;30 mg/g creatinine [18,19].</p><p>The HbA1c levels were determined by a high performance liquid chromatography method using an automated HLC-723G7 analyzer (Tosoh Corporation, Tokyo, Japan) and calibrated by the Japan Diabetes Society (JDS) standard calibrators.</p><p>The ankle-brachial pressure index (ABI) and brachialankle pulse wave velocity (baPWV), as indicators of atherosclerosis, were measured using a Form PWV/ABI, BP-203PRE II instrument (Omron Colin Co., Ltd, Bunkyo, Tokyo, Japan). The intima-media thickness (IMT) of the carotid artery was measured via ultrasonographic examinations by skilled laboratory technicians using an Aplio XV ultrasound machine (Toshiba Medical Systems Corp., Ohtawara, Tochigi, Japan) as described previously [<xref ref-type="bibr" rid="scirp.37386-ref20">20</xref>].</p><sec id="s2_1"><title>2.1. Ethics Statement</title><p>This study was conducted according to the principles expressed in the 2008 Declaration of Helsinki. The Ethics Committee of Edogawa Hospital approved the protocol of this study and waived the need for written informed consent because the data were analyzed anonymously for this cross-sectional study based on the data stored in the hospital database.</p></sec><sec id="s2_2"><title>2.2. Statistical Methods</title><p>All data are shown as the means &#177; SD. The KruskalWallis test and the χ<sup>2</sup> test were used for among-group comparisons of the continuous and categorical variables, respectively. A stepwise multivariate analysis by the forward selection method was performed to determine the association of the value of surrogate markers with the risk factors for atherosclerosis. Differences of P &lt; 0.05 (two-tailed) were considered to be statistically significant. The statistical software package JMP, version 8.0 (SAS Institute, Cary, NC, USA), was used to perform all of the analyses.</p></sec></sec><sec id="s3"><title>3. RESULTS</title><p><xref ref-type="table" rid="table1">Table 1</xref> shows the clinical characteristics of the study patients. The mean observation period in the study subjects was 27 &#177; 10 months. Their mean blood pressure</p></sec></body><back><ref-list><title>References</title><ref id="scirp.37386-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Kannel, W.B. (1989) Risk factors in hypertension. Journal of Cardiovascular Pharmacology, 13, S4-S10.  
http://dx.doi.org/10.1097/00005344-198900131-00003</mixed-citation></ref><ref id="scirp.37386-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Iimura, O. (1996) Insulin resistance and hypertension in Japanese. Hypertension Research, 19, S1-S8.  
http://dx.doi.org/10.1291/hypres.19.SupplementI_S1</mixed-citation></ref><ref id="scirp.37386-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">UK Prospective Diabetes Study Group (1998) Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ, 317, 703-713.  
http://dx.doi.org/ 10.1136/bmj. 317.7160.703</mixed-citation></ref><ref id="scirp.37386-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Holman, R.R., Paul, S.K., Bethel, M.A., Matthews, D.R. and Neil, H.A. (2008) 10-year follow-up of intensive glucose control in type 2 diabetes. New England Journal of Medicine, 359, 1577-1589.  
http://dx.doi.org/10.1056/NEJMoa0806470</mixed-citation></ref><ref id="scirp.37386-ref5"><label>5</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>American Diabetes Association </surname><given-names>  </given-names></name>,<etal>et al</etal>. (<year>1989</year>)<article-title>Role of cardiovascular risk factors in prevention and treatment of macrovascular disease in diabetes</article-title><source> Diabetes Care</source><volume> 12</volume>,<fpage> 573</fpage>-<lpage>579</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.37386-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo Jr., J.L., Jones, D.W., Materson, B.J., Oparil, S., Wright Jr., J.T., Roccella, E.J., Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. National Heart, Lung, and Blood Institute; National High Blood Pressure Education Program Coordinating Committee (2003) Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension, 42, 1206-1252.  
http://dx.doi.org/10.1161/01.HYP.0000107251. 49515.c2</mixed-citation></ref><ref id="scirp.37386-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Mancia, G., De Backer, G., Dominiczak, A., Cifkova, R., Fagard, R., Germano, G., Grassi, G., Heagerty, A.M., Kjeldsen, S.E., Laurent, S., Narkiewicz, K., Ruilope, L., Rynkiewicz, A., Schmieder, R.E, Boudier, H.A. and Zanchetti, A., ESH-ESC Task Force on the Management of Arterial Hypertension (2007) 2007 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). Journal of Hypertension, 25, 1105-1187.  
http://dx.doi.org/10.1097/HJH. 0b013e3281fc975a</mixed-citation></ref><ref id="scirp.37386-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Brown, M.J., Castaigne, A., de Leeuw, P.W., Mancia, G., Palmer, C.R., Rosenthal, T. and Ruilope, L.M. (2000) Influence of diabetes and type of hypertension on response to antihypertensive treatment. Hypertension, 35, 1038-1042. http://dx.doi.org/10.1161/01.HYP.35.5.1038</mixed-citation></ref><ref id="scirp.37386-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Mifune, M., Abe, M., Oshikiri, K., Antoku, S., Takeuchi, Y., Togane, M., Ando, S. and Tsugami, E. (2012) Hypertension resistant to antihypertensive agents commonly occurs with the progression of diabetic nephropathy in Japanese patients with type 2 diabetes mellitus: A prospective observational study. BMC Nephrology, 13, 48. http://dx.doi.org/10.1186/1471-2369-13-48</mixed-citation></ref><ref id="scirp.37386-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Bakris, G.L., Williams, M., Dworkin, L., Elliott, W.J., Epstein, M., Toto, R., Tuttle, K., Douglas, J., Hsueh, W. and Sowers, J. (2000) Preserving renal function in adults with hypertension and diabetes: A consensus approach. American Journal of Kidney Diseases, 36, 646-661.  
http://dx.doi.org/10.1053/ ajkd.2000.16225</mixed-citation></ref><ref id="scirp.37386-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Yusuf, S., Sleight, P., Pogue, J., Bosch, J., Davies, R. and Dagenais, G. (2000) Effects of an angiotensin-convertingenzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. New England Journal of Medicine, 342, 145-153.  
http://dx.doi.org/10.1056/NEJM200001203420301</mixed-citation></ref><ref id="scirp.37386-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group (2002) Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The antihypertensive and lipid-lowering treatment to prevent heart attack trial (ALLHAT). JAMA, 288, 2981-2897.  
http://dx.doi.org/10.1001/jama.288.23.2981</mixed-citation></ref><ref id="scirp.37386-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Wing, L.M., Reid, C.M., Ryan, P, Beilin, L.J., Brown, M.A., Jennings, G.L., Johnston, C.I., McNeil, J.J., Macdonald, G.J., Marley, J.E., Morgan, T.O., West, M.J., Second Australian National Blood Pressure Study Group (2003) A comparison of outcomes with angiotensin-converting—Enzyme inhibitors and diuretics for hypertension in the elderly. New England Journal of Medicine, 348, 583-592. http://dx.doi.org/10.1056/NEJMoa021716</mixed-citation></ref><ref id="scirp.37386-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Japanese Society of Gout and Nucleic Acid Metabolism (2000) Guideline for the management of hyperuricemia and gout. 2nd Edition, Medical Review Co., Ltd, Tokyo.</mixed-citation></ref><ref id="scirp.37386-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Locatelli, F., Covic, A., Eckardt, K.U., Wiecek, A., Vanholder, R., ERA-EDTA ERBP Advisory Board (2009) Anaemia management in patients with chronic kidney disease: A position statement by the Anaemia Working Group of European Renal Best Practice (ERBP). Nephrology Dialysis Transplantation, 24, 348-354.  
http://dx.doi.org/10.1093/ndt/gfn653</mixed-citation></ref><ref id="scirp.37386-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">National Kidney Foundation (2006) KDOQI clinical practice guidelines and clinical practice recommendations for anemia in chronic kidney disease. American Journal of Kidney Diseases, 47, S1-S146.  
http://dx.doi.org/10.1053/S0272-6386(05)01814-7</mixed-citation></ref><ref id="scirp.37386-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Matsuo, S., Imai, E., Horio, M., Yasuda, Y., Tomita, K., Nitta, K., Yamagata, K., Tomino, Y., Yokoyama, H., Hishida, A., Collaborators developing the Japanese equation for estimated GFR (2009) Revised equations for estimated GFR from serum creatinine in Japan. American Journal of Kidney Diseases, 53, 982-992.  
http://dx.doi.org/10.1053/j.ajkd.2008.12.034</mixed-citation></ref><ref id="scirp.37386-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Coresh, J., Astor, B.C., Greene, T., Eknoyan, G. and Levey, A.S. (2003) Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. American Journal of Kidney Diseases, 41, 1-12.  
http://dx.doi.org/10.1053/ajkd. 2003.50007</mixed-citation></ref><ref id="scirp.37386-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Levey, A.S., de Jong, P.E., Coresh, J., El Nahas, M., Astor, B.C., Matsushita, K., Gansevoort, R.T., Kasiske, B.L. and Eckardt, K.U. (2011) The definition, classification, and prognosis of chronic kidney disease: A KDIGO Controversies Conference report. Kidney International, 80, 17-28. http://dx.doi.org/10.1038/ki. 2010.483</mixed-citation></ref><ref id="scirp.37386-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Komatsu, Y., Mifune, M., Antoku, S., Ishida, H., Takeuchi, Y. and Togane, M. (2010) The estimated GFR, but not the stage of diabetic nephropathy graded by the urinary albumin excretion, is associated with the carotid intima-media thickness in patients with type 2 diabetes mellitus: A cross-sectional study. Cardiovascular Diabetology, 9, 18. http://dx.doi.org/10.1186/1475-2840-9-18</mixed-citation></ref><ref id="scirp.37386-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Obara, T., Ohkubo, T., Kikuya, M., Asayama, K., Metoki, H., Inoue, R., Oikawa, T., Murai, K., Komai, R., Horikawa, T., Hashimoto, J., Totsune, K., Imai, Y., J-HOME Study Group (2006) The current status of home and office blood pressure control among hypertensive patients with diabetes mellitus: The Japan Home Versus Office Blood Pressure Measurement Evaluation (J-HOME) study. Diabetes Research and Clinical Practice, 73, 276-283.  
http://dx.doi.org/10.1016/j.diabres.2006.01.015</mixed-citation></ref><ref id="scirp.37386-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Reaven, G.M. (1988) Role of insulin resistance in human disease. Diabetes, 37, 1595-1607.  
http://dx.doi.org/10.2337/diabetes.37.12.1595</mixed-citation></ref><ref id="scirp.37386-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">DeFronzo, R.A. and Ferrannini, E. (1991) Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care, 14, 173-194.  
http://dx.doi.org/10.2337/diacare.14.3.173</mixed-citation></ref><ref id="scirp.37386-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Kaplan, N.M. (1989) The deadly quartet: Upper body obesity, glucose intolerance, hypertriglyceridemia and hypertension. Archives of Internal Medicine, 149, 1514-1520.  
http://dx.doi.org/10.1001/ archinte.1989.00390070054005</mixed-citation></ref><ref id="scirp.37386-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Feingold, K.R., Grunfeld, C., Pang, M., Doerrler, W. and Krauss, R.M. (1992) LDL subclass phenotypes and triglyceride metabolism in non-insulin-dependent diabetes. Arteriosclerosis, Thrombosis, and Vascular Biology, 12, 1496-1502. http://dx.doi.org/10.1161/01.ATV.12.12.1496</mixed-citation></ref><ref id="scirp.37386-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Takeuchi, Y., Ishida, H., Antoku, S., Abe, M., Mifune, M. and Togane, M. (2010) High frequencies of diabetic micro- and macroangiopathies in patients with type 2 diabetes mellitus with decreased estimated glomerular filtration rate and normoalbuminuria. Nephrology Dialysis Transplantation, 25, 1161-1167.  
http://dx.doi.org/10.1093/ndt/gfp579</mixed-citation></ref><ref id="scirp.37386-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Oshikiri, K., Mifune, M., Abe, M., Antoku, S., Takeuchi, Y., Togane, M. and Yukawa, C. (2012) The usefulness of the revised classification for chronic kidney disease by the KDIGO for determining the frequency of diabetic micro- and macroangiopathies in Japanese patients with type 2 diabetes mellitus. Journal of Diabetes and Its Complications, 26, 286-290.  
http://dx.doi.org/ 10.1016/j.jdiacomp. 2012.04.011</mixed-citation></ref><ref id="scirp.37386-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Abe, M., Mifune, M, Oshikiri, K., Antoku, S., Takeuchi, Y. and Togane, M. (2011) Hyperuricemia is independently associated with coronary heart disease and renal dysfunction in patients with type 2 diabetes mellitus. PLoS One, 6, e2781.  
http://dx.doi.org/10.1371/journal.pone.0027817</mixed-citation></ref><ref id="scirp.37386-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Ito, H., Takeuchi, Y., Ishida, H., Otawa, A., Shibayama, A. Antoku, S. Abe, M., Mifune, M. and Togane, M. (2010) Mild anemia is frequent and associated with micro- and macroangiopathies in patients with type 2 diabetes mellitus. Journal of Diabetes Investigation, 1, 273-278.  
http://dx.doi.org/10.1111/ j.2040-1124.2010.00060.x</mixed-citation></ref><ref id="scirp.37386-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Williams, D.T., Harding, K.G. and Price, P. (2005) An evaluation of the efficacy of methods used in screening for lower-limb arterial disease in diabetes. Diabetes Care, 28, 2206-2210.  
http://dx.doi.org/10.2337/diacare. 28.9.2206</mixed-citation></ref><ref id="scirp.37386-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Alnaeb, M.E., Crabtree, V.P., Boutin, A., Mikhailidis, D.P., Seifalian, A.M. and Hamilton, G. (2007) Prospective assessment of lower-extremity peripheral arterial disease in diabetic patients using a novel automated optical device. Angiology, 58, 579-585.  
http://dx.doi.org/10.1177/ 0003319707305685</mixed-citation></ref></ref-list></back></article>