# High-Sensitivity C-Reactive Protein: An Independent Risk Factor for Left Ventricular Hypertrophy in Patients with Lupus Nephritis

Authors: Beili Shi; Zhaohui Ni; Hong Cai; Minfang Zhang; Shan Mou; Qin Wang; Liou Cao; Zanzhe Yu; Yucheng Yan; Jiaqi Qian
Journal: Journal of Biomedicine and Biotechnology
 (2010)

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## Abstract

Objective. To determine the prevalence of left ventricular hypertrophy (LVH) and its associated risk factors in lupus nephritis (LN) patients. Methods. 287 LN patients (age: 38.54 ± 13.31, 262 female) were recruited. Echocardiography and serum high-sensitivity C-reactive protein (hs-CRP) were measured. Their relationship was evaluated by univariate correlation analysis and multivariate regression analysis.
Results. The prevalence of LVH in this cohort was 21.25% (n=61). Serum hs-CRP level was significantly elevated in patients with LVH compared to those without (8.03 (3.22–30.95) versus 3.93 (1.48–9.48) mg/L, P<.01), and correlated with left ventricular mass index (LVMI) (r=0.314, P=.001). Multivariate regression analysis further confirmed that hs-CRP was an independent risk factor (β=0.338, P=.002) for LVH in patients with LN. Conclusions. Our findings demonstrated that serum hs-CRP level is independently correlated with LVMI and suggested that measurement of hs-CRP may provide  important clinical information to investigate LVH in LN patients.


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## Body

## 1. Introduction

Alterations in left ventricular structure and function have been reported among the cardiac manifestations of systemic lupus erythematosus (SLE), especially in those who have renal complications. These alterations include echocardiographic evidence of increases in LV wall thicknesses and mass, a decrease in LV ejection fraction, and impaired diastolic filling [1–3]. However, it is currently uncertain whether these abnormalities are disease-related effects or a result of other predisposing conditions, such as inflammation, hypertension, anemia, and disorder of mineral metabolism.In recent years, there has been a growing interest in the hypothesis that atherosclerosis may be an inflammatory disease. It has been noted that C-reactive protein (CRP), a marker of the reactant plasma protein component of the inflammatory response, is a major predictor of cardiovascular disease (CVD) in apparently healthy subjects [4–6]. Previous reports have found the association between CRP and left ventricular hypertrophy (LVH) in several pathologic states such as hypertension, insulin resistance, and chronic kidney disease (CKD) [7–9]. In this study, we investigated the potential interrelationships among hs-CRPs, a more sensitive marker of systemic inflammation and LV mass index (LVMI) in patients with lupus nephritis (LN) by using the clinical cutoff levels of CRP.


## 2. Methods

### 2.1. Study Subjects

A total of 287 incipient LN patients were consecutively enrolled from January 2005 to December 2008. All participants met the diagnostic criteria of the American College of Rheumatology [10, 11]. Exclusion criteria included ischemic heart disease, acute coronary syndrome, congestive heart failure (CHF) (New York Heart Association (NYHA) class II or greater), old cerebral infarction, history of transient ischemic attack, secondary hypertension, receipt of any immunosuppressant and/or an anti-inflammatory drug (aspirin or nonsteroidal anti-inflammatory drug (NSAID)), chronic infection, cancer, and pregnancy. Participants with moderate or severe aortic or mitral regurgitation were also excluded. The study protocol was approved by the local ethics committee, and all participants gave their written informed consent to participate in this study.


### 2.2. Baseline Clinical Characteristics

After fasting overnight, BP was measured with an appropriate arm cuff and a mercury column sphygmomanometer on the left arm after a resting period of at least 10 min in the supine position. After BP measurement, venous blood sampling was performed in all subjects. Height and body weight were measured, and body mass index was calculated. The following parameters were also determined: serum creatinine, serum lipids including cholesterol, triglyceride, and lipoprotein(a), measurement of serum complement C3 and C4, high-sensitivity C-reactive protein, and antibody testing. Estimated glomerular filtration rate (eGFR) was calculated by MDRD formula. High-sensitivity CRP (hs-CRP) was measured by autoimmune scattering rate nephelometry (BNP nephelometer, Dade Behring). If hs-CRP level was >10 mg/L, the test was repeated. Antinuclear antibodies (ANA) were detected by indirect immunofluorescence (IIF). Double-stranded DNA (ds-DNA) was detected by FARR assay (EUROIMMUN AG, Germany), and antiphospholipid antibodies (ACL) were measured by Enzyme-Linked Immunosorbent Assay (ELISA) (EUROIMMUN AG, Germany).


### 2.3. Echocardiographic Methods and Calculation of Derived Variables

Echocardiography was performed by an experienced research technician using standard techniques who was unaware of the clinical characteristics of the patients. Studies were performed using phased-array echocardiography with M-mode, 2-dimensional, pulsed, and color-flow Doppler capabilities. LV mass (LVM) was calculated using the following formula: LVM=0.8 (1.04 (LVST+LVPWT+LVDd)3-LVDd3)+ 0.6, where LVST is LV septal wall thickness, and LVPWT is LV posterior wall thickness, LVDd is LV diastolic diameter. LVMI was indexed for body surface area (BSA), and LVH was defined by an LVMI of over 110  g/m2 in women and 125 g/m2 in men [12].


### 2.4. Statistical Analysis

Data were described as means± SDs for those with normal distribution and as medians and interquartile ranges for asymmetrical distribution. Comparisons between patients divided by CRP cutoff level and with or without LVH were performed by unpaired t-tests in normally distributed data and by nonparametric Mann-Whitney test in asymmetrically distributed data, or by X2 test in categorical data. The cut-off level of hs-CRP was defined according to the AHA/CDC recommendations [13], in which CRP levels ≥3 mg/L were defined as average- and high-risk groups for CVD. Bivariate relationships with LV mass were assessed using the Spearman correlation coefficient. All variables that had significant relations were evaluated for inclusion in a model predicting LV mass using multivariable regression analysis; unstandardized regression coefficients (B) with their 95% confidence intervals were reported. All of the statistics were performed by SPSS version 13.0, and a 2-tailed P<.05 was considered to indicate statistical significance.


## 2.1. Study Subjects

A total of 287 incipient LN patients were consecutively enrolled from January 2005 to December 2008. All participants met the diagnostic criteria of the American College of Rheumatology [10, 11]. Exclusion criteria included ischemic heart disease, acute coronary syndrome, congestive heart failure (CHF) (New York Heart Association (NYHA) class II or greater), old cerebral infarction, history of transient ischemic attack, secondary hypertension, receipt of any immunosuppressant and/or an anti-inflammatory drug (aspirin or nonsteroidal anti-inflammatory drug (NSAID)), chronic infection, cancer, and pregnancy. Participants with moderate or severe aortic or mitral regurgitation were also excluded. The study protocol was approved by the local ethics committee, and all participants gave their written informed consent to participate in this study.


## 2.2. Baseline Clinical Characteristics

After fasting overnight, BP was measured with an appropriate arm cuff and a mercury column sphygmomanometer on the left arm after a resting period of at least 10 min in the supine position. After BP measurement, venous blood sampling was performed in all subjects. Height and body weight were measured, and body mass index was calculated. The following parameters were also determined: serum creatinine, serum lipids including cholesterol, triglyceride, and lipoprotein(a), measurement of serum complement C3 and C4, high-sensitivity C-reactive protein, and antibody testing. Estimated glomerular filtration rate (eGFR) was calculated by MDRD formula. High-sensitivity CRP (hs-CRP) was measured by autoimmune scattering rate nephelometry (BNP nephelometer, Dade Behring). If hs-CRP level was >10 mg/L, the test was repeated. Antinuclear antibodies (ANA) were detected by indirect immunofluorescence (IIF). Double-stranded DNA (ds-DNA) was detected by FARR assay (EUROIMMUN AG, Germany), and antiphospholipid antibodies (ACL) were measured by Enzyme-Linked Immunosorbent Assay (ELISA) (EUROIMMUN AG, Germany).


## 2.3. Echocardiographic Methods and Calculation of Derived Variables

Echocardiography was performed by an experienced research technician using standard techniques who was unaware of the clinical characteristics of the patients. Studies were performed using phased-array echocardiography with M-mode, 2-dimensional, pulsed, and color-flow Doppler capabilities. LV mass (LVM) was calculated using the following formula: LVM=0.8 (1.04 (LVST+LVPWT+LVDd)3-LVDd3)+ 0.6, where LVST is LV septal wall thickness, and LVPWT is LV posterior wall thickness, LVDd is LV diastolic diameter. LVMI was indexed for body surface area (BSA), and LVH was defined by an LVMI of over 110  g/m2 in women and 125 g/m2 in men [12].


## 2.4. Statistical Analysis

Data were described as means± SDs for those with normal distribution and as medians and interquartile ranges for asymmetrical distribution. Comparisons between patients divided by CRP cutoff level and with or without LVH were performed by unpaired t-tests in normally distributed data and by nonparametric Mann-Whitney test in asymmetrically distributed data, or by X2 test in categorical data. The cut-off level of hs-CRP was defined according to the AHA/CDC recommendations [13], in which CRP levels ≥3 mg/L were defined as average- and high-risk groups for CVD. Bivariate relationships with LV mass were assessed using the Spearman correlation coefficient. All variables that had significant relations were evaluated for inclusion in a model predicting LV mass using multivariable regression analysis; unstandardized regression coefficients (B) with their 95% confidence intervals were reported. All of the statistics were performed by SPSS version 13.0, and a 2-tailed P<.05 was considered to indicate statistical significance.


## 3. Results

### 3.1. Description of LN Patients

The 287 subjects were predominantly female (91.29%), with a mean age of38.5±13.3 at their entry. Totally 223/239 patients (93.30%) showed positive ANA, 177/200 patients (88.50%) had positive ds-DNA, and 29/153 patients (18.95%) showed ACL antibodies. Renal biopsy was obtained from 135 (47.04%) patients, which showed minimal mesangial LN (class I) in 4 (3.0%), mesangial proliferative LN (class II) in 7 (5.2%), focal LN (class III) in 16 (11.9%), diffuse LN (class IV) in 77 (57.0%), membranous LN (class V) in 28 (20.7%), and advanced sclerotic LN (class VI) in 3 (2.2%) patients according to International Society of Nephrology/Renal Pathology Society (ISN/RPS) 2003 classification [14].


### 3.2. Prevalence of LVH in LN Patients

LVH was diagnosed in 61 LN patients (21.25%). We compared the baseline characteristics of patients with and without LVH, as showed in Table1. Patients with LVH were much older, had significantly elevated hs-CRP level and higher uric acid level, lower hemoglobin level, and eGFR. However, BMI, blood pressure, and serum lipids were not significantly different between the two groups. Meanwhile, autoantibody parameter positive incidence including ds-DNA, ANA, and ACL did not differ between patients with and without LVH.Table 1
Baseline characteristics of LN patients with and without echocardiographic LVH.
Baseline characteristicsEcho-LVH (n=61)Normal LVMI (n=226)Gender, male, %8.858.20Age, y40.92±14.16*35.43±11.88BMI, kg/m221.48±3.1022.10±3.63Smoke history, %17.6918.03SBP, mmHg140.00(120.00–155.00)130.00(110.00–140.00)DBP, mmHg87.00(80.00–91.60)85.00(75.00–90.00)MABP, mmHg103.33(93.33–113.97)98.33(88.33–110.00)Hemoglobin level, g/L90.62±22.99**105.95±22.43ESR, mm/h57.00(26.00–85.00)43.00(21.00–73.00)hs-CRP, mg/L8.03(3.22–30.95)**3.93(1.48–9.48)Serum albumin, g/L30.03±6.3433.26±6.06Triglyceride, mmol/L2.25±1.162.42±1.10Cholesterol, mmol/L5.47±1.995.64±2.12Lipoprotein(a), mg/L328.90±45.62276.14±21.66GFR, ml/min/1.73 m266.05±4.68*90.24±4.52Uric acid, mmol/L491.78±29.35*402.44±17.03Calcium, mmol/L2.07±0.222.07±0.20Phosphate, mmol/L1.59±0.641.43±0.3624 hours urine protein, g/24 h3.37±2.273.00±2.62ds-DNA (%)32 (82.05)145 (90.06)ANA (%)43 (91.49)180 (93.75)ACL (%)6 (26.08)23 (17.69)Complement C3, g/L0.54(0.38–0.83)0.48(0.37–0.65)Fibrinogen, g/L3.77±1.473.87±1.40Echo-LVH: echocardiographic LVH; SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL antiphospholipid antibody. Case number and positive incidence of ds-DNA, ANA, and ACL was presented here in the table. Compared with normal LVMI,*P<.05, **P<.01.


### 3.3. Association between hs-CRP and LVH

To further explore the extent to which inflammation augment LVH, the patients were subdivided into low- and average-to-high risk groups according to hs-CRP cutoff level. Among those who had higher hs-CRP levels (≥3 mg/L), LVMI was significantly increased (132.68±57.84versus 113.67±29.17, P=.018) (Figure 1). In addition, these patients had elder age (39.37±14.09  versus 34.97±11.55, P=.02), lower hemoglobin level (93.04±24.91  versus 106.57±23.65, P<.001), lower cholesterol level (5.60±1.89  versus 6.41±2.76, P=.018), higher ESR (56.00(31.50–83.00) versus 32.00(19.75–58.50), P<.001) and higher serum fibrinogen level (4.17±1.59 versus 3.54±1.12, P=.004) (Table 2).Table 2
Laboratory parameters of LN patients grouped by hs-CRP level.
Baseline characteristicsCRP ≥ 3 mg/dl (n=198)CRP < 3 mg/dl (n=89)Gender, male, %8.598.98Age, y39.37±14.09*34.97±11.56BMI, kg/m222.29±3.1821.67±3.07Smoke history, %18.1816.86SBP, mmHg132.90(120.00–148.10)130.00(117.50–150.00)DBP, mmHg86.00(79.50–94.40)83.50(73.75–90.00)MABP, mmHg103.33(90.00–110.64)97.5(89.08–110.83)Hemoglobin level, g/L93.04±24.91**106.57±23.65ESR, mm/h56.00(31.50–83.00)**32.00(19.75–58.50)Serum albumin, g/L27.70±7.0333.09±6.95Triglyceride, mmol/L2.48±1.322.46±1.06Cholesterol, mmol/L5.60±1.89*6.41±2.76Lipoprotein(a), mg/L275.99±28.90281.15±31.16GFR, ml/min/1.73 m273.45±4.6282.11±5.75Uric acid, mmol/L463.96±17.85421.40±19.48Calcium, mmol/L2.04±0.222.12±0.16Phosphate, mmol/L1.68±0.801.53±0.2924 hours urine protein, g/24 h3.00±2.623.37±2.27ds-DNA (%)124 (88.57)53 (88.33)ANA (%)148 (91.36)73 (94.81)ACL (%)20 (20.00)9 (16.98)Complement C3, g/L0.44(0.34–0.76)0.43(0.32–0.64)Fibrinogen, g/L4.17±1.60**3.54±1.12SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL: antiphospholipid antibody. Case number and positive incidence of ds-DNA, ANA and ACL was presented here in the table. Compared with hs-CRP ≥ 3 mg/L,*P<.05, **P<.01.Figure 1
Comparison of LVMI in two groups divided by hs-CRP cutoff level.In univariate analysis involving the entire sample (Table3), significant correlates of LVMI included age, body mass index, blood pressure, hemoglobin level, hs-CRP, uric acid level, and eGFR. After introducing all these significant variables into multivariate regression analysis, hs-CRP (β=0.228, P=.009), along with uric acid (β=0.382,P<.001), was further confirmed to have positive associations with LVMI.Table 3
Individual correlates of LVMI among LN patients.
rPAge0.154.048BMI−0.171.030SBP0.214.006DBP0.156.045MABP0.183.018Hemoglobin−0.304<.001ESR0.081.314Hs-CRP0.225.014Serum albumin−0.107.177Triglyceride−0.035.666Cholesterol−0.015.850Lipoprotein(a)0.043.607GFR−0.292<.001Uric acid0.202.011Calcium0.097.451Phosphate0.065.61424 hours urine protein0.091.263Ds-DNA−0.086.351ANA−0.099.260ACL0.139.232Complement C3−0.07.394Fibrinogen−0.04.646SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL: antiphospholipid antibody.


## 3.1. Description of LN Patients

The 287 subjects were predominantly female (91.29%), with a mean age of38.5±13.3 at their entry. Totally 223/239 patients (93.30%) showed positive ANA, 177/200 patients (88.50%) had positive ds-DNA, and 29/153 patients (18.95%) showed ACL antibodies. Renal biopsy was obtained from 135 (47.04%) patients, which showed minimal mesangial LN (class I) in 4 (3.0%), mesangial proliferative LN (class II) in 7 (5.2%), focal LN (class III) in 16 (11.9%), diffuse LN (class IV) in 77 (57.0%), membranous LN (class V) in 28 (20.7%), and advanced sclerotic LN (class VI) in 3 (2.2%) patients according to International Society of Nephrology/Renal Pathology Society (ISN/RPS) 2003 classification [14].


## 3.2. Prevalence of LVH in LN Patients

LVH was diagnosed in 61 LN patients (21.25%). We compared the baseline characteristics of patients with and without LVH, as showed in Table1. Patients with LVH were much older, had significantly elevated hs-CRP level and higher uric acid level, lower hemoglobin level, and eGFR. However, BMI, blood pressure, and serum lipids were not significantly different between the two groups. Meanwhile, autoantibody parameter positive incidence including ds-DNA, ANA, and ACL did not differ between patients with and without LVH.Table 1
Baseline characteristics of LN patients with and without echocardiographic LVH.
Baseline characteristicsEcho-LVH (n=61)Normal LVMI (n=226)Gender, male, %8.858.20Age, y40.92±14.16*35.43±11.88BMI, kg/m221.48±3.1022.10±3.63Smoke history, %17.6918.03SBP, mmHg140.00(120.00–155.00)130.00(110.00–140.00)DBP, mmHg87.00(80.00–91.60)85.00(75.00–90.00)MABP, mmHg103.33(93.33–113.97)98.33(88.33–110.00)Hemoglobin level, g/L90.62±22.99**105.95±22.43ESR, mm/h57.00(26.00–85.00)43.00(21.00–73.00)hs-CRP, mg/L8.03(3.22–30.95)**3.93(1.48–9.48)Serum albumin, g/L30.03±6.3433.26±6.06Triglyceride, mmol/L2.25±1.162.42±1.10Cholesterol, mmol/L5.47±1.995.64±2.12Lipoprotein(a), mg/L328.90±45.62276.14±21.66GFR, ml/min/1.73 m266.05±4.68*90.24±4.52Uric acid, mmol/L491.78±29.35*402.44±17.03Calcium, mmol/L2.07±0.222.07±0.20Phosphate, mmol/L1.59±0.641.43±0.3624 hours urine protein, g/24 h3.37±2.273.00±2.62ds-DNA (%)32 (82.05)145 (90.06)ANA (%)43 (91.49)180 (93.75)ACL (%)6 (26.08)23 (17.69)Complement C3, g/L0.54(0.38–0.83)0.48(0.37–0.65)Fibrinogen, g/L3.77±1.473.87±1.40Echo-LVH: echocardiographic LVH; SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL antiphospholipid antibody. Case number and positive incidence of ds-DNA, ANA, and ACL was presented here in the table. Compared with normal LVMI,*P<.05, **P<.01.


## 3.3. Association between hs-CRP and LVH

To further explore the extent to which inflammation augment LVH, the patients were subdivided into low- and average-to-high risk groups according to hs-CRP cutoff level. Among those who had higher hs-CRP levels (≥3 mg/L), LVMI was significantly increased (132.68±57.84versus 113.67±29.17, P=.018) (Figure 1). In addition, these patients had elder age (39.37±14.09  versus 34.97±11.55, P=.02), lower hemoglobin level (93.04±24.91  versus 106.57±23.65, P<.001), lower cholesterol level (5.60±1.89  versus 6.41±2.76, P=.018), higher ESR (56.00(31.50–83.00) versus 32.00(19.75–58.50), P<.001) and higher serum fibrinogen level (4.17±1.59 versus 3.54±1.12, P=.004) (Table 2).Table 2
Laboratory parameters of LN patients grouped by hs-CRP level.
Baseline characteristicsCRP ≥ 3 mg/dl (n=198)CRP < 3 mg/dl (n=89)Gender, male, %8.598.98Age, y39.37±14.09*34.97±11.56BMI, kg/m222.29±3.1821.67±3.07Smoke history, %18.1816.86SBP, mmHg132.90(120.00–148.10)130.00(117.50–150.00)DBP, mmHg86.00(79.50–94.40)83.50(73.75–90.00)MABP, mmHg103.33(90.00–110.64)97.5(89.08–110.83)Hemoglobin level, g/L93.04±24.91**106.57±23.65ESR, mm/h56.00(31.50–83.00)**32.00(19.75–58.50)Serum albumin, g/L27.70±7.0333.09±6.95Triglyceride, mmol/L2.48±1.322.46±1.06Cholesterol, mmol/L5.60±1.89*6.41±2.76Lipoprotein(a), mg/L275.99±28.90281.15±31.16GFR, ml/min/1.73 m273.45±4.6282.11±5.75Uric acid, mmol/L463.96±17.85421.40±19.48Calcium, mmol/L2.04±0.222.12±0.16Phosphate, mmol/L1.68±0.801.53±0.2924 hours urine protein, g/24 h3.00±2.623.37±2.27ds-DNA (%)124 (88.57)53 (88.33)ANA (%)148 (91.36)73 (94.81)ACL (%)20 (20.00)9 (16.98)Complement C3, g/L0.44(0.34–0.76)0.43(0.32–0.64)Fibrinogen, g/L4.17±1.60**3.54±1.12SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL: antiphospholipid antibody. Case number and positive incidence of ds-DNA, ANA and ACL was presented here in the table. Compared with hs-CRP ≥ 3 mg/L,*P<.05, **P<.01.Figure 1
Comparison of LVMI in two groups divided by hs-CRP cutoff level.In univariate analysis involving the entire sample (Table3), significant correlates of LVMI included age, body mass index, blood pressure, hemoglobin level, hs-CRP, uric acid level, and eGFR. After introducing all these significant variables into multivariate regression analysis, hs-CRP (β=0.228, P=.009), along with uric acid (β=0.382,P<.001), was further confirmed to have positive associations with LVMI.Table 3
Individual correlates of LVMI among LN patients.
rPAge0.154.048BMI−0.171.030SBP0.214.006DBP0.156.045MABP0.183.018Hemoglobin−0.304<.001ESR0.081.314Hs-CRP0.225.014Serum albumin−0.107.177Triglyceride−0.035.666Cholesterol−0.015.850Lipoprotein(a)0.043.607GFR−0.292<.001Uric acid0.202.011Calcium0.097.451Phosphate0.065.61424 hours urine protein0.091.263Ds-DNA−0.086.351ANA−0.099.260ACL0.139.232Complement C3−0.07.394Fibrinogen−0.04.646SBP: systolic blood pressure; DBP: diastolic blood pressure; MABP: mean arterial blood pressure; ESR: erythrocyte sedimentation rate; GFR: glomerular filtration rate; ANA: antinuclear antibody; ACL: antiphospholipid antibody.


## 4. Discussion

Our cross-sectional study revealed a linear relationship between low-grade chronic inflammation estimated by high-sensitivity CRP levels and LVMI, independent of several other important covariates, such as adipose tissue distribution BMI, BP levels, serum lipids, renal function, age, and gender. The observation of this independent association between hs-CRP level and LVMI is consistent with previous findings [15, 16], and the present study extended to LN patients. As far as we know, these findings are new and potentially important for refining CVD risk stratification in this population.At the initial stage of the atherosclerotic process, systemic inflammation would appear most importantly associated with subclinical cardiovascular disease development, such as LVH occurrence. A raised baseline CRP value has been associated with inflammation, endothelial dysfunction, obesity [17], the metabolic syndrome [18, 19], diabetes mellitus [20], insulin resistance [7], and severity of hypertension [21], and thus, various metabolic disorders may occur by increasing CRP level and simultaneously promote an increase in LV mass. On the other hand, local CRP synthesis and secretion by smooth muscle cells, including those of the human coronary artery, have been suggested to play an important role as well [22]. It is possible to speculate that CRP may play a direct role in promoting LVH through these mechanisms, including (1) increasing phosphatidylinositol3- kinase activity [23];(2) upregulating inducible nitric oxide synthase, certain cell signal transduction pathways including the mitogen-activated protein kinase pathway, and nuclear factor κ-B; (3) upregulating angiotensin II type 1 receptor in vascular smooth muscle cells, and directly quenching the production of nitric oxide by endothelial cells [24, 25], resulting in increased production of endothelin-1 [26]; (4) elevation of von Willebrand factor [27], which is known to be associated with endothelial dysfunction. Thus, cardiac hypertrophy may be, at least in part, attributable to an increase in CRP itself, viaactivated transcriptional regulatory mechanisms, proinflammatory and proatherogenic effects, and stimulation of endothelial dysfunction.Some limitations of this study are important to note. First, it is not possible to conclude from this observational research whether CRP stimulates higher LVMI or whether CRP is increased before the development of LVH. The cross-sectional design prevents the demonstration of the mechanisms by which LVH is related to inflammation. These speculations should be addressed in future prospective longitudinal studies. Second, it may be better to introduce SLEDAI score into multivariate regression analysis to further estimate the effect of disease itself on LVH, and inflammation status as well. Third, it is very regrettable that some of our patients’ autoantibodies data were missing and incomplete. This cohort will be followed and expanded to further observe the prevalence and correlative factors of LVH, especially after intervention therapy.


## 5. Conclusions

In conclusion, in LN subjects initially free of CVD, hs-CRP showed a significant association with LVMI, which suggested that assessment of hs-CRP level may help to refine CVD risk stratification in this population.



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*Source: 373426-2010-11-07.xml*