<?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">WJCD</journal-id><journal-title-group><journal-title>World Journal of Cardiovascular Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-5329</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjcd.2016.61003</article-id><article-id pub-id-type="publisher-id">WJCD-63054</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 Atherogenic Dyslipidemia Ratio Log (Tg)/Hdl-C Was Not Associated with Urinary Albumin Excretion Rate (Uaer) and Increased Cardiovascular Risk in Black Patients with Type 2 Diabetes
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>.</surname><given-names>F. Kajingulu</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>B.</surname><given-names>F. Lepira</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>I.</surname><given-names>N. F. Mbutiwi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>J.</surname><given-names>R. R. Makulo</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>E.</surname><given-names>Bieleli</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M.</surname><given-names>N. Nseka</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Division of Nephrology, University of Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff3"><addr-line>Division of Diabetes and Metabolic Diseases, University of Kinshasa Hospital, University of Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine, University of Kikwit, Democratic Republic of Congo</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>lepslepira@yahoo.fr(BFL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>19</day><month>01</month><year>2016</year></pub-date><volume>06</volume><issue>01</issue><fpage>14</fpage><lpage>20</lpage><history><date date-type="received"><day>23</day>	<month>December</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>24</month>	<year>January</year>	</date><date date-type="accepted"><day>27</day>	<month>January</month>	<year>2016</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>
 
 
  Objective: The objective is to assess the relationship of Log (TG)/HDL-c as surrogate estimate of atherogenic dyslipidemia with urinary albumin excretion rate and cardiovascular risk among black patients with type 2 diabetes. Patients and methods: A post-hoc analysis of data from 181 type 2 diabetes patients enrolled in a cross-sectional study of urinary albumin excretion rate seen at a tertiary healthcare. Microalbuminuria and macroalbuminuria were defined as ACR 30 - 299.9 mg/g and ACR ≥ 300 mg/g, respectively. Quartiles of Log (TG)/HDL-c were used as surrogate estimates of atherogenic dyslipidemia. Cardiovascular risk was assessed using WHO chart for estimation of CV risk in low and middle income countries. Comparisons across Log (TG)/HDL-c quartiles were performed using one way ANOVA and Chi square for trend as appropriate. P &lt; 0.05 defined the level of statistical significance. Results: A high prevalence (69%) of atherogenic dyslipidemia (AD) was observed in the present case series of Black Africans with type 2 diabetes. Average total cholesterol levels showed significant (p = 0.010) trends towards lower values across quartiles of Log (TG)/ HDL-c. No significant trends were observed for average UAER and cardiovascular risk across quartiles of Log (TG)/HDL-c. Conclusion: Log (TG)/HDL-c as a surrogate estimate of atherogenic failed to predict cardiovascular risk in the present case series of black patients with type 2 diabetes.
 
</p></abstract><kwd-group><kwd>Log (TG)/HDL-C</kwd><kwd> Cardiovascular Risk</kwd><kwd> Type 2 Diabetes</kwd><kwd> Black Africans</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Type 2 diabetes has now become an important public health problem in sub-Saharan Africa (SSA) and is associated with an increased cardiovascular (CV) morbidity and mortality attributed in part to the coexistence of other risk factors such as hypercholesterolemia [<xref ref-type="bibr" rid="scirp.63054-ref1">1</xref>] . Indeed, studies have consistently indicated that type 2 diabetes and dyslipidemia with mainly hypercholesterolemia frequently coexist and the risk of cardiovascular diseases associated with the coexistence of these two conditions is higher than the sum of the individual risks [<xref ref-type="bibr" rid="scirp.63054-ref1">1</xref>] . CV risk in type 2 diabetes is also increased in case of abnormal urinary albumin excretion rate (UAER), a marker of both kidney damage and extended endothelial dysfunction and reported to be associated with hypercholesterolemia [<xref ref-type="bibr" rid="scirp.63054-ref1">1</xref>] . Therefore, the early detection and treatment of hypercholesterolemia in type 2 diabetes patients particularly in case of abnormal UAER could help reducing CV morbidity and mortality [<xref ref-type="bibr" rid="scirp.63054-ref1">1</xref>] .</p><p>Since mainly low-density lipoprotein cholesterol (LDL-c) is considered to play an important role in the dynamic process of atherogenesis [<xref ref-type="bibr" rid="scirp.63054-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.63054-ref4">4</xref>] , current guidelines recommend intensive lowering of LDL-c with statins in an attempt to reduce CV risk in type 2 diabetes [<xref ref-type="bibr" rid="scirp.63054-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref6">6</xref>] . However, despite effective lowering of LDL-c at optimal or near-optimal levels [<xref ref-type="bibr" rid="scirp.63054-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref8">8</xref>] , residual risk of CVD remains still high in statin treated type 2 diabetes patients [<xref ref-type="bibr" rid="scirp.63054-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref8">8</xref>] . This residual CV risk is thought to rely upon the presence of the so-called atherogenic dyslipidemia (AD), which is characterized by low high-density lipoprotein cholesterol (HDL-c) and/or high triglyceride (TG) levels [<xref ref-type="bibr" rid="scirp.63054-ref9">9</xref>] - [<xref ref-type="bibr" rid="scirp.63054-ref11">11</xref>] . An association between AD and abnormal UAER has been reported as well [<xref ref-type="bibr" rid="scirp.63054-ref11">11</xref>] -[<xref ref-type="bibr" rid="scirp.63054-ref13">13</xref>] . Therefore, type 2 diabetes patients with abnormal UAER could be at high risk for both atherogenic dyslipidemia and subsequent CVD. As a consequence, screening for atherogenic dyslipidemia in type 2 diabetes patients could help refining CV risk assessment and improve therapeutic decision making since AD responded better to fibrates than to statins [<xref ref-type="bibr" rid="scirp.63054-ref14">14</xref>] . In this regard, the ratio of fasting TG to fasting HDL-c [Log (TG)/HDL-c], with prior log transformation, could help to identify type 2 diabetes patients with or without abnormal UAE at high risk for CVD [<xref ref-type="bibr" rid="scirp.63054-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] . Indeed, [log (TG)/HDL-c] has been reported to be associated with both microangiopathy and residual CV risk in Caucasian type 2 diabetes patients [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] - [<xref ref-type="bibr" rid="scirp.63054-ref17">17</xref>] .</p><p>Aforementioned observations come mainly from studies on people of Caucasian origin [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref18">18</xref>] . Unfortunately, very few studies on AD in black type 2 diabetes patients with and without abnormal UAER are available. In sub-Sahara Africa, a study from Nigeria had found that diabetic patients had high levels of TG and low HDL-c [<xref ref-type="bibr" rid="scirp.63054-ref19">19</xref>] . In Democratic Republic of the Congo, the prevalence of abnormal UAER as micro or macroalbuminuria in diabetic patients has been reported to be of 29% and 19%, respectively [<xref ref-type="bibr" rid="scirp.63054-ref20">20</xref>] . A previous study showed that type diabetes 2 patients with subclinical atherosclerosis had in average low HDL-c and high TG levels compared to those without atherosclerosis [<xref ref-type="bibr" rid="scirp.63054-ref21">21</xref>] . Unfortunately, the prevalence of AD as combined dyslipidemia was not evaluated. The aim of the present post hoc analysis was to evaluate the prevalence and severity of AD in black patients with type 2 diabetes using log (TG)/HDL-c ratio as a surrogate marker of AD and to determine whether this ratio is associated with UAER and increased absolute CV risk.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>To evaluate the relationship of Log (TG)/HDL-c ratio with UAER and cardiovascular risk, we performed a post-hoc analysis of data from 181 type 2 diabetes patients enrolled in a cross-sectional study of abnormal urinary albumin excretion (UAER) carried out at the University of Kinshasa Hospital from 1<sup>st</sup> July to 30<sup>th</sup> October, 2007. Data were obtained using a standard questionnaire which collected information on age, gender, duration of diabetes, smoking and alcohol use. Physical examination was performed in each patient to measure height, weight, waist circumference (WC), blood pressure and pulse rate; eye fundus examination was also obtained to search for diabetic retinopathy. The details of the study have already been described elsewhere [<xref ref-type="bibr" rid="scirp.63054-ref20">20</xref>] . In brief, UAER as urinary albumin to creatinine ratio (ACR) was determined in a morning spot urine using immunoassay method with an automatic device DCA Bayer 2000<sup>&#174;</sup> (Bayer Health Care LLC, Indiana, USA). Normoalbuminuria, microalbuminuria and macroalbuminuria were defined as ACR &lt; 30, 30 - 299 and ≥ 300 mg/g, respectively [<xref ref-type="bibr" rid="scirp.63054-ref22">22</xref>] . Fasting cholesterol and its subfractions as well as TG were determined using enzymatic methods with an automatic device Cholestech LDX<sup>&#174;</sup> (Cholestech Corporation, USA). LDL-c was calculated using the Friedewald formula for patients with TG levels less than 400 mg/dl [<xref ref-type="bibr" rid="scirp.63054-ref23">23</xref>] . Non-HDL-c, as a surrogate marker of apolipoprotein B (Apo B), was calculated as total cholesterol minus HDL-c. For the present post-hoc analysis, AD was defined, according to 2013 International Consensus [<xref ref-type="bibr" rid="scirp.63054-ref24">24</xref>] as HDL-c &lt; 40 mg/dl in men, &lt;50 mg/dl in women and/or triglycerides ≥ 150 mg/dl. The continuous variable Log (TG)/HDL-c was used as a surrogate estimate of AD [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref16">16</xref>] and the World Health Organization (WHO) chart for sub-Saharan Africa to estimate absolute CV risk [<xref ref-type="bibr" rid="scirp.63054-ref25">25</xref>] .</p>Statistical Analyses<p>Baseline characteristics were summarized as means and SDs for continuous variables for normally distributed variables and median and range for skewed variables; categorical variables as relative frequencies in percent. Student t was used to compare means of two groups, as appropriate. Categorical variables were compared using Pearson’s chi square, Fischer exact for trends as appropriate. Multiple regression analysis was used to identify determinants of absolute CV risk. P value &lt; 0.05 defined the level of statistical significance. All analyses were performed using the statistical software STATA version 10.1.</p></sec><sec id="s3"><title>3. Results</title><p><xref ref-type="table" rid="table1">Table 1</xref> summarizes clinical characteristics of the study population according to quartiles of Log (TG)/HDL-c. One hundred eighty one type 2 diabetes patients, 53% men, were included in the present post-hoc analysis. Their mean age was 56 &#177; 11 years with a median duration of diabetes of 4 (1 - 32) years. Smoking, hypertension and diabetic retinopathy were present in 8%, 77% and 80% of patients, respectively.</p><p>Biological characteristics according to quartiles of Log (TG)/HDL-c are depicted in <xref ref-type="table" rid="table2">Table 2</xref>. Average levels of glycemia, HbA1c, MDRD-GFR, atherogenic dyslipidemia and UAER were 165 (50 - 446) mg/dl, 9.0 (4.5 - 14.0) %, 75 (2 - 234) ml/min/1.73 m<sup>2</sup>, 69 % and 30 (3 - 7800) mg/g, respectively. Average levels of lipids were 177 &#177; 43 mg/dl, 117 &#177; 40 mg/dl, 38 &#177; 15 mg/dl, 139 &#177; 40 mg/dl and 100 (45 - 650) mg/dl for TC, LDL-c, HDL-c, non-HDL-c and TG, respectively. Apart from TG and HDL-c levels as components of Log (TG)/HDL-c ratio, significant trends towards lower levels across quartiles of Log (TG)/HDL-c were observed for only TC; trends in other variables across quartiles of Log (TG)/HDL-c did not reach the level of statistical significance.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Clinical characteristics of the study population according to quartiles of Log (TG)/HDL-c</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >All n = 181</th><th align="center" valign="middle" >Q1 n = 45</th><th align="center" valign="middle" >Q2 n = 45</th><th align="center" valign="middle" >Q3 n = 45</th><th align="center" valign="middle" >Q4 n = 46</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Log (TG)/HDL-c</td><td align="center" valign="middle" >0.064 &#177; 0.031</td><td align="center" valign="middle" >0.033 &#177; 0.005</td><td align="center" valign="middle" >0.048 &#177; 0.004</td><td align="center" valign="middle" >0.064 &#177; 0.006</td><td align="center" valign="middle" >0.108 &#177; 0.025</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Age, yrs</td><td align="center" valign="middle" >56 &#177; 11</td><td align="center" valign="middle" >56 &#177; 10</td><td align="center" valign="middle" >57 &#177; 9</td><td align="center" valign="middle" >56 &#177; 12</td><td align="center" valign="middle" >56 &#177; 13</td><td align="center" valign="middle" >0.961</td></tr><tr><td align="center" valign="middle" >Gender, M, %</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >0.580</td></tr><tr><td align="center" valign="middle" >F, %</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetes duration, yrs</td><td align="center" valign="middle" >4 (1 - 32)</td><td align="center" valign="middle" >5 (1 - 32)</td><td align="center" valign="middle" >5 (1 - 25)</td><td align="center" valign="middle" >3 (1 - 25)</td><td align="center" valign="middle" >4 (1 - 23)</td><td align="center" valign="middle" >0.478</td></tr><tr><td align="center" valign="middle" >Smoking, %</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >0.327</td></tr><tr><td align="center" valign="middle" >Alcohol intake, %</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >0.515</td></tr><tr><td align="center" valign="middle" >SBP, mm Hg</td><td align="center" valign="middle" >141 &#177; 25</td><td align="center" valign="middle" >142 &#177; 24</td><td align="center" valign="middle" >144 &#177; 23</td><td align="center" valign="middle" >141 &#177; 25</td><td align="center" valign="middle" >136 &#177; 26</td><td align="center" valign="middle" >0.491</td></tr><tr><td align="center" valign="middle" >DBP, mm Hg</td><td align="center" valign="middle" >87 &#177; 13</td><td align="center" valign="middle" >88 &#177; 13</td><td align="center" valign="middle" >86 &#177; 11</td><td align="center" valign="middle" >89 &#177; 12</td><td align="center" valign="middle" >85 &#177; 14</td><td align="center" valign="middle" >0.446</td></tr><tr><td align="center" valign="middle" >HR, b.min</td><td align="center" valign="middle" >84 &#177; 10</td><td align="center" valign="middle" >85 &#177; 13</td><td align="center" valign="middle" >85 &#177; 9</td><td align="center" valign="middle" >84 &#177; 11</td><td align="center" valign="middle" >82 &#177; 9</td><td align="center" valign="middle" >0.600</td></tr><tr><td align="center" valign="middle" >BMI, kg/m&#178;</td><td align="center" valign="middle" >25.5 &#177; 5.1</td><td align="center" valign="middle" >25.3 &#177; 4.3</td><td align="center" valign="middle" >25.3 &#177; 3.9</td><td align="center" valign="middle" >25.4 &#177; 5.6</td><td align="center" valign="middle" >26.1 &#177; 6.3</td><td align="center" valign="middle" >0.841</td></tr><tr><td align="center" valign="middle" >WC, cm</td><td align="center" valign="middle" >90 &#177; 12</td><td align="center" valign="middle" >89 &#177; 9</td><td align="center" valign="middle" >90 &#177; 12</td><td align="center" valign="middle" >90 &#177; 13</td><td align="center" valign="middle" >93 &#177; 14</td><td align="center" valign="middle" >0.080</td></tr><tr><td align="center" valign="middle" >Retinopathy, %</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >0.881</td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation, median and range or relative frequency in percent. Abbreviations: Log, logarithm; TG, triglycerides; HDL-c, high density lipoprotein cholesterol; Q, quartile; yrs, years; M, male; F, female; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; BMI, body mass index; WC, waist circumference.</p><p>Hypertension, global and abnormal obesity, atherogenic dyslipidemia and cardiovascular risk across quartiles of Log (TG)/HDL-c are depicted in <xref ref-type="table" rid="table3">Table 3</xref>. As expected, the prevalence of atherogenic dyslipidemia significantly (p &lt; 0.001) increased across Log (TG)/HDL-c quartiles (<xref ref-type="table" rid="table3">Table 3</xref>). However, trends in absolute CV riskacross quartiles of Log (TG)/HDL-c ratio did not reach the level of statistical significance.</p></sec><sec id="s4"><title>4. Discussion</title><p>The main findings of the present post-hoc analysis are as follows. First, a high prevalence of AD was observed in the present case series of Black Africans with type 2 diabetes. Second, Log (TG)/HDL-c was not related to absolute CV risk. Third, mean levels of UAER did not increase across Log (TG)/HDL.</p><p>The high prevalence of AD in type 2 diabetes patients agrees with results of previous studies [<xref ref-type="bibr" rid="scirp.63054-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref26">26</xref>] . However, the prevalence of 69% in the present post-hoc analysis seems somewhat higher than that reported in other studies [<xref ref-type="bibr" rid="scirp.63054-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref18">18</xref>] . This disparity can be explained by differences in criteria used to define the atherogenic dyslipidemia [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref24">24</xref>] and characteristics of studied populations.</p><p>Log (TG)/HDL-c was not significantly associated with absolute CV risk in the present post-hoc analysis. This finding does translate the current controversy around the ability of this ratio to accurately predict CV risk in Blacks of African descent with type 2 diabetes [<xref ref-type="bibr" rid="scirp.63054-ref27">27</xref>] . Indeed, If a previous study conducted in menopausal Nigerian women found Log (TG)/HDL-c to be an useful predictor of CV risk [<xref ref-type="bibr" rid="scirp.63054-ref28">28</xref>] , a recent study of South and West African women [<xref ref-type="bibr" rid="scirp.63054-ref29">29</xref>] showed that this ratio was ineffective in this purpose. However, reports on white type 2 diabetes patients from Italy [<xref ref-type="bibr" rid="scirp.63054-ref30">30</xref>] and Belgium [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref16">16</xref>] showed that Log (TG)/HDL-c was associated with</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Biological characteristics of the study population according to quartiles of Log (TG)/HDL-C</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >All n = 181</th><th align="center" valign="middle" >Q1 n = 45</th><th align="center" valign="middle" >Q2 n = 45</th><th align="center" valign="middle" >Q3 n = 45</th><th align="center" valign="middle" >Q4 n = 46</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Log (TG)/HDL-c</td><td align="center" valign="middle" >0.064 &#177; 0.031</td><td align="center" valign="middle" >0.033 &#177; 0.005</td><td align="center" valign="middle" >0.048 &#177; 0.004</td><td align="center" valign="middle" >0.064 &#177; 0.006</td><td align="center" valign="middle" >0.108 &#177; 0.025</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >TC, mg/dl</td><td align="center" valign="middle" >177 &#177; 43</td><td align="center" valign="middle" >188 &#177; 40</td><td align="center" valign="middle" >182 &#177; 43</td><td align="center" valign="middle" >178 &#177; 37</td><td align="center" valign="middle" >160 &#177; 46</td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >LDL-c, mg/dl</td><td align="center" valign="middle" >117 &#177; 40</td><td align="center" valign="middle" >116 &#177; 37</td><td align="center" valign="middle" >120 &#177; 41</td><td align="center" valign="middle" >120 &#177; 38</td><td align="center" valign="middle" >111 &#177; 44</td><td align="center" valign="middle" >0.673</td></tr><tr><td align="center" valign="middle" >HDL-c, mg/dl</td><td align="center" valign="middle" >38 &#177; 15</td><td align="center" valign="middle" >57 &#177; 10</td><td align="center" valign="middle" >41 &#177; 5</td><td align="center" valign="middle" >33 &#177; 4</td><td align="center" valign="middle" >20 &#177; 5</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Non HDL-c, mg/dl</td><td align="center" valign="middle" >139 &#177; 40</td><td align="center" valign="middle" >131 &#177; 38</td><td align="center" valign="middle" >141 &#177; 42</td><td align="center" valign="middle" >146 &#177; 36</td><td align="center" valign="middle" >140 &#177; 45</td><td align="center" valign="middle" >0.387</td></tr><tr><td align="center" valign="middle" >TG, mg/dl</td><td align="center" valign="middle" >100 (45 - 50)</td><td align="center" valign="middle" >77 (45 - 139)</td><td align="center" valign="middle" >100 (45 - 236)</td><td align="center" valign="middle" >115 (45 - 650)</td><td align="center" valign="middle" >116 (45 - 414)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Glycemia, mg/dl</td><td align="center" valign="middle" >165 (50 - 446)</td><td align="center" valign="middle" >170 (50 - 437)</td><td align="center" valign="middle" >160 (56 - 446)</td><td align="center" valign="middle" >147 (66 - 426)</td><td align="center" valign="middle" >176 (51 - 441)</td><td align="center" valign="middle" >0.247</td></tr><tr><td align="center" valign="middle" >HbA1c, %</td><td align="center" valign="middle" >9.0 (4.5 - 14.0)</td><td align="center" valign="middle" >8.9 (5.0 - 14.0)</td><td align="center" valign="middle" >9.2 (4.5 - 14.0)</td><td align="center" valign="middle" >8.4 (4.7 - 14.0)</td><td align="center" valign="middle" >9.5 (5.6 - 14.0)</td><td align="center" valign="middle" >0.512</td></tr><tr><td align="center" valign="middle" >Creatinine, mg/dl</td><td align="center" valign="middle" >1.1 (0.4 - 33.6)</td><td align="center" valign="middle" >1.1 (0.4 - 26.5)</td><td align="center" valign="middle" >1.1 (0.6 - 6.0)</td><td align="center" valign="middle" >1.2 (0.6 - 4.8)</td><td align="center" valign="middle" >1.2 (0.5 - 33.6)</td><td align="center" valign="middle" >0.257</td></tr><tr><td align="center" valign="middle" >GFR, MDRD, ml/min/1.73 m<sup>2</sup></td><td align="center" valign="middle" >75 (2 - 234)</td><td align="center" valign="middle" >82 (2 - 211)</td><td align="center" valign="middle" >73 (12 - 187)</td><td align="center" valign="middle" >70 (14 - 221)</td><td align="center" valign="middle" >78 (2 - 234)</td><td align="center" valign="middle" >0.292</td></tr><tr><td align="center" valign="middle" >UAER, mg/g</td><td align="center" valign="middle" >30 (3 - 7800)</td><td align="center" valign="middle" >42 (4 - 7800)</td><td align="center" valign="middle" >31 (4 - 1600)</td><td align="center" valign="middle" >17 (3 - 2850)</td><td align="center" valign="middle" >36 (4 - 2000)</td><td align="center" valign="middle" >0.365</td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation, median and range or relative frequency in percent. Abbreviations: Log, logarithm; Q, quartile; TG, triglycerides; HDL-c, high-density lipoprotein-cholesterol; TC, total cholesterol; LDL-c, low-density lipoprotein-cholesterol; HbA1c, glycated hemoglobin; GFR, glomerular filtration rate; MDRD, modification of diet in renal disease; UAE, urinary albumin excretion.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Atherogenic dyslipidemia and cardiovascular risk of the study population according to quartiles of Log (TG)/ HDL-c</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >All n = 181</th><th align="center" valign="middle" >Q1 n = 45</th><th align="center" valign="middle" >Q2 n = 45</th><th align="center" valign="middle" >Q3 n = 45</th><th align="center" valign="middle" >Q4 n = 46</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Log (TG)/HDL-c</td><td align="center" valign="middle" >0.064 &#177; 0.031</td><td align="center" valign="middle" >0.033 &#177; 0.005</td><td align="center" valign="middle" >0.048 &#177; 0.004</td><td align="center" valign="middle" >0.064 &#177; 0.006</td><td align="center" valign="middle" >0.108 &#177; 0.025</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Hypertension, %</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >0.147</td></tr><tr><td align="center" valign="middle" >Global obesity, %</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >0.254</td></tr><tr><td align="center" valign="middle" >Abdominal obesity, %</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >0.874</td></tr><tr><td align="center" valign="middle" >AD, %</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >CV risk &gt; 30% (WHO-LMIC), %</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >20.0</td><td align="center" valign="middle" >8.9</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >10.9</td><td align="center" valign="middle" >0.393</td></tr></tbody></table></table-wrap><p>Data are expressed as mean &#177; standard deviation, median and range or relative frequency in percent. Abbreviations: Log, logarithm; Q, quartile; TG, triglycerides; HDL-c, high-density lipoprotein-cholesterol; HbA1c, glycated hemoglobin, TC, total cholesterol; CV, cardiovascular.</p><p>microangiopathy, hypertension, increased cardiometabolic and cardiovascular risk. The racial difference in the suitability of Log (TG)/HDL-c ratio to predict cardiovascular risk is thought to rely upon the so-called “lipid or triglyceride” paradox in people of African descent [<xref ref-type="bibr" rid="scirp.63054-ref27">27</xref>] . If in Whites, the characteristic dyslipidemia follows the classic pattern of elevated TG and low HDL-c levels [<xref ref-type="bibr" rid="scirp.63054-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref16">16</xref>] , normal TG and low HDL-c levels characterize lipid profiles in African Americans, West Africans and black South Africans [<xref ref-type="bibr" rid="scirp.63054-ref31">31</xref>] -[<xref ref-type="bibr" rid="scirp.63054-ref33">33</xref>] . Therefore, screening tests such as Log (TG)/HDL-c ratio having TG as a key diagnostic criterion would not be appropriate in people of African descent [<xref ref-type="bibr" rid="scirp.63054-ref34">34</xref>] . Reasons for normal TG levels in Blacks and less predictive value of Log (TG)/HDL-c ratio in individuals of African descent is thought to rely upon the greater activity and less inhibition of lipoprotein lipase (LPL), the enzyme that clears TG-rich lipid particles from the circulation as well as the presence of hyperinsulinemia [<xref ref-type="bibr" rid="scirp.63054-ref27">27</xref>] .</p><p>The mean levels of UAER did not increase across Log (TG)/HDL. In the general population, a recent study by Knight et al. [<xref ref-type="bibr" rid="scirp.63054-ref29">29</xref>] using the ROC curve to predict insulin resistance as assessed by HOMA-IR reported that Log (TG)/HDL-c failed to predict insulin resistance in obese women of African descent. Similar findings have been already reported by other authors such as Kim-Dorner et al. [<xref ref-type="bibr" rid="scirp.63054-ref35">35</xref>] and Summner et al. [<xref ref-type="bibr" rid="scirp.63054-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref32">32</xref>] who found that Log (TG)/HDL-c ratio was acceptable marker of insulin resistance as assessed by fasting plasma insulin and HOMA-IR in Whites but poor predictors in Blacks. They concluded that this ratio would not be appropriate to predict insulin resistance in African Americans [<xref ref-type="bibr" rid="scirp.63054-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.63054-ref29">29</xref>] . Studies evaluating the relationship of Log (TG)/HDL- c with insulin resistance in type 2 diabetes black Africans are not yet available to allow comparison with our findings.</p><p>The interpretation of the results of the present post-hoc analysis should take into account of some limitations. The major limitation of the present analysis was its derivation from a cross-sectional study and its post-hoc nature precluding temporal and causal relationship of Log (TG)/HDL-c with UAER and absolute cardiovascular risk. Direct measurement of insulin resistance was not performed in the present study. An additional limitation was the lack of repeated measurements of UAER and serum lipids, which are recommended to increase specificity.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Log (TG)/HDL-c as a surrogate estimate of atherogenic dyslipidemia failed to predict absolute cardiovascular risk in the present case series of black patients with type 2 diabetes, highlighting the need for tests adapted to people of African descent.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors gratefully thank Prof Dr Jean Robert Makulo Risassi for providing the database on urinary albumin excretion rate and lipid profile in type 2 diabetes patients. They also remain deeply indebted to Professor Bert Bamens of Katholiek Universiteit Leuven (KUL) for his invaluable contribution to the improvement of the quality of the present manuscript.</p></sec><sec id="s7"><title>Conflict of Interest</title><p>None.</p></sec><sec id="s8"><title>Authors’ Contribution</title><p>KFM participated in protocol elaboration, data collection and analysis and reviewed the manuscript.</p><p>LFB designed the study, participated in data analysis and wrote the manuscript.</p><p>MFIN contributed to the study design, performed statistical analysis and reviewed the manuscript.</p><p>MJR provided database and reviewed the manuscript.</p><p>BE reviewed the manuscript.</p><p>NMN reviewed the manuscript.</p></sec><sec id="s9"><title>Cite this paper</title><p>M. F.Kajingulu,B. F.Lepira,I. N. F.Mbutiwi,J. R. R.Makulo,E.Bieleli,M. N.Nseka, (2016) The Atherogenic Dyslipidemia Ratio Log (Tg)/Hdl-C Was Not Associated with Urinary Albumin Excretion Rate (Uaer) and Increased Cardiovascular Risk in Black Patients with Type 2 Diabetes. World Journal of Cardiovascular Diseases,06,14-20. doi: 10.4236/wjcd.2016.61003</p></sec><sec id="s10"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.63054-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Naidoo</surname><given-names> D.P. </given-names></name>,<etal>et al</etal>. 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