A
comparative study of clinical profile & investigative parameters of
systemic lupus erythematosus patients with & without metabolic syndrome
Rajadhyaksha A.G.1, Sarate N.2, Mangalgi S.3
1Dr. A.G. Rajadhyaksha, Professor, 2Dr. Nitin Sarate, Assistant Professor,
3Dr. Shreepriya Mangalgi, Resident
Doctor, all authors are affiliated with Department of Medicine, Seth G.S.
Medical College & KEM Hospital, Mumbai, Maharashtra, India.
Corresponding Author: Dr. Nitin Sarate, Assistant Professor, Department
of Medicine, Seth G.S. Medical College & KEM Hospital, Mumbai, Maharashtra,
India. E-mail: nitinsarate@gmail.com
Abstract
Introduction: The Metabolic Syndrome (MetS) often
contributes to increased cardiovascular risk in patients with systemic lupus
erythematosus (SLE) especially in younger age group. Determining the
contribution of SLE phenotype and therapeutic exposures to the development of
MetS in SLE patients would yield important insights into pathophysiology of
cardiovascular events and help in Coronary Heart Disease (CHD) risk
stratification. Objective: We aimed to get prevalence of metabolic
syndrome in SLE patients & to correlate its presence with demographic,
socioeconomic, clinical manifestations, serological parameters, pharmacological
treatment, disease activity, disease duration & damage index. Method:
A total 104 patients of SLE diagnosed as per American College of Rheumatology
(ACR) criteria were enrolled during the study. Metabolic Syndrome was defined
according to the American Heart Association & National Heart, Lung &
Blood Institute modified National Cholesterol Education Programme Adult
Treatment Panel III criteria (AHA/NHLBI modified NCEP/ATP III). Result:
Out of 104 enrolled patients, MetS was present in 35 patients (33.7%). Higher
mean age (32.8 vs 27 years), Higher Body Mass Index (26.65 vs 21.07kg/m2),
Increased triceps skin fold thickness (20.46 vs 15.80 mm), longer disease
duration (223.9wk vs 64.78 wk), the presence of lupus nephritis,
hypertriglyceridemia, positive anti-ds DNA, higher serum creatinine, higher
damage index & higher cumulative dose of steroids were associated MetS in
SLE patients. Conclusion: Screening for metabolic syndrome in patients
with SLE will be helpful to minimize morbidity and mortality.
Key
words: Systemic Lupus Erythematosus, Metabolic
Syndrome, Atherosclerosis
Introduction
Systemic Lupus
Erythematosus (SLE) is prototypic systemic autoimmune disease characterized by
diverse multisystem involvement [1]. A bimodal mortality is observed in
patients with SLE [2]. Early mortality is more likely to be related to disease
itself, whereas late mortality is mainly associated with co-morbidities,
coronary artery disease being one of the most common cause of morbidity and
mortality at this stage [3-5]. Patients with SLE have a greater than fivefold
increase risk of clinical coronary heart disease (CHD) events, rising to
50-fold increase in younger patient [6]. Subclinical atherosclerosis as
measured by coronary calcium, carotid plaque, arterial stiffness and
endothelial dysfunction is also increased in SLE patients [7-10].
Metabolic Syndrome (MetS) is characterized by
a presence of hypertension, glucose intolerance, dyslipidemia & obesity
[11]. Data on the prevalence & risk factors for MetS in SLE patients are
scarce. Lupus features implicated in MetS include inflammatory disease
activity, disease damage and therapeutic exposures, particularly
corticosteroids, although studies to date have been inconsistent [12].
Determining the contribution of SLE phenotype and therapeutic exposures to the
development of MetS in SLE patients would yield important insights into
pathophysiology of cardiovascular events and help in CHD risk stratification.
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Photograph-1: Newly diagnosed Systemic lupus
Erythematosus patient with the ‘classical malar rash’ |
Photograph-2: Abdominal obesity in a 28 yr old Systemic
lupus Erythematosus patient with disease duration of two years. |
Materials & Method
Objective:
Main
objective was to study prevalence of metabolic syndrome in diagnosed patient of
SLE & to co-relate presence of metabolic syndrome with demographic,
socio-economic parameters, clinical manifestations, serological features,
pharmacological treatment, disease activity, disease duration and damage index
in patients of SLE.
Place
& Type of Study: This Cross Sectional & Observational study was conducted in a
tertiary care centre in Mumbai for period of 18 months after obtaining approval
from the Institutional Ethics Committee.
Sampling
Method:
Considering the average prevalence of metabolic syndrome in patients with SLE
to be around 33% based on various studies, the sample size for our study was
estimated to be 85 with confidence level 95% & margin error of 10% [12-16].
A total 104 SLE patients utilizing rheumatology services of a tertiary care hospital
were enrolled during the study.
Inclusion
Criteria
a)
Patient diagnosed to have SLE based on American College of Rheumatology
Criteria ( ACR )
b)
Age more than 12 year
c)
Patient willing to give informed written consent for participation in
study.
Exclusion
Criteria:
Patient who were pregnant at time of study visit.
Statistical Method: Descriptive statistics will be performed and
indicated as mean ± standard deviation and median for continuous variables. The
two independent group comparisons will be performed by student t test. ANNOVA
will be used to evaluate correlation between continuous variables and Chi
square test will be used to examine the differences between groups in terms of
categorical variables. P values less than 0.05 were considered significant.
Study Procedure: Once all the criteria were satisfied, a
written informed consent was taken from all the patients or their
relatives/guardian (In case of minors). Data regarding demographic &
socio-economic parameters (age, gender, literacy, occupation, religion &
marital status) were gathered. General & Systemic Examination was performed.
Body Mass Index (BMI), Waist circumference, tricep skin fold thickness were
also measured. Disease manifestations, as defined in the ACR classification
criteria for SLE were noted [17]. Systemic Lupus Disease Activity Index 2000
(SLEDAI-2K) Score was used for the measurement of the disease activity whereas
damage index was assessed using Systemic Lupus Collaborating Clinic/ ACR Damage
Index (SLICC/ACR-DI) [18,19].
Routine blood investigations like complete blood (CBC) counts, Erythrocyte Sedimentation
Rate (ESR), Fasting & Post-prandial blood glucose, lipid profile, serum
uric acid, renal & liver function tests, Urine- routine/microscopy & 24
hr urine protein test were performed. Additionally specific tests like ANA,
Anti-dsDNA titres, C3 & C4 complement levels, CRP
levels, Anticardiolipin antibody (ACLA) IgG & IgM were done. Chest
radiograph, electrocardiogram & ultrasound studies (wherever indicated)
were performed. Carotid ultrasound was performed with Philips En Visor
Ultrasound System using high frequency linear duplex Doppler transducer of
7.5-10 MHz for the real time imaging. The scanning was performed at right &
left carotid territories. The common carotid artery (1cm proximal to
bifurcation) intima-media thickness (IMT) was measured.
The AHA/NHLBI
modified NCEP/ATP III was used to determine presence of metabolic syndrome at
study visit [20]. Patients were diagnosed to have metabolic syndrome if three
or more of the following criteria were present.
1.
Arterial hypertension (Systolic BP ≥130mm of Hg or diastolic BP≥85mm of
Hg or drug treatment for hypertension)
2.
Increased fasting glucose (≥100mg/dL or drug treatment for diabetes)
3.
Reduced high-density lipoprotein( HDL) Cholesterol (<40mg/dL in men,
<50mg/dL in women or drug treatment of low HDL cholesterol)
4.
Increased triglycerides ( ≥150mg/dL or drug treatment of
hypertriglyceridemia)
5.
Increased waist circumference (≥102 cm in men, ≥ 88cm in women)
At the end of the
study duration, the patient data was tabulated & analysed. The prevalence
of metabolic syndrome in SLE patients was determined. Differences between SLE
patients with and without metabolic syndrome in terms of demographic and
socio-economic parameters, clinical manifestations, serological features,
pharmacological treatment, disease activity & damage index were analysed
using appropriate statistical methods.
Results
Table
No.-1: Characteristics of SLE Patients enrolled in the present Study
Sr. No. |
Parameters studied |
Results |
||||||
1 |
SLE with MetS (n & %) |
35 (33.7%) |
||||||
2 |
Gender distribution [n & %] |
Female 102(98.1%) |
Male 02(1.9%) |
Total No of patients 104 |
||||
3 |
Mean Age [years, (SD)] |
With MetS 32.86(±9.340) |
Without MetS 27.2 (±9.779) |
|||||
4 |
Distribution of individual components of MetS in study
population ·
Waist circumference (≥102 cm in men&≥88 cm in
women) ·
High triglycerides ·
Low HDL-cholesterol ·
Impaired fasting glucose ·
Hypertension |
No of patients having component of MetS (%) 43 (42%) 85 (82%) 38 (37%) 27 (26%) 31 (30%) |
No of patients having without component of MetS (%) 61 (58%) 19 (18%) 66 (63%) 77 (74%) 73 (70%) |
|||||
5 6 7 |
Mean BMI of SLE patients (SD) Mean tricep skin thickness (mm)(SD) Mean disease duration since the diagnosis (weeks) (SD) |
With MetS 26.65 (±3.134) 20.46(±3.534) 223.69 (±197.416) |
Without MetS 21.07 (±3.819) 15.80(±3.261) 64.78(±73.567) |
|||||
8 |
Lupus Nephritis Class ·
Nil ·
I ·
II ·
III ·
IV ·
V ·
VI ·
Total |
With MetS (%) 4(11.4) 0(0) 1(2.9) 5(14.3) 22(62.9) 1(2.9) 2(5.7) 35(100) |
Without MetS(%) 23(33.3) 0(0) 9(13.0) 4(5.8) 30(43.5) 2(2.9) 1(1.4) 69(100) |
|||||
9 |
Neuropsychiatric involvement |
·
yes ·
no |
With MetS (%) 7(20) 28(80) |
Without MetS (%) 8(11.6) 61(88.4) |
||||
10 |
Serological Parameters at Study Visit ( Total) i)
ANA (+ve/-ve) ii)
Anti- DsDNA (+ve/-ve) iii)
ACLA (+ve/-ve) iv)
C3 level (low/normal) v)
C4 level (low/normal) vi)
Mean ESR (SD) vii)
CRP (+ve/-ve) viii)
Mean Sr Creatine (SD) ix)
Mean uric acid level(SD) |
With MetS (35) 27/8 10/25 13/22 9/26 8/27 42.11 (±21.41) 19/16 1.0486 (±0.33814) 5.67 (±1.516) |
Without MetS (69) 64/5 27/42 24/45 35/34 21/48 52.27 (±22.24) 42/27 0.9217 (±0.28536) 5.28 (±5.011) |
|||||
11 |
Disease Activity & Damage Index SLEDAI-2K Score (SD) SLICC/ACR-DI (SD) |
With MetS 3.429(±5.002) 0.629(±0.77) |
Without MetS 5.333(±6.857) 0.319(±0.63) |
|||||
12 |
Treatment
Parameters A]Mean Cumulative dose (gm)(SD) i)
Methylprednisolone (iv) ii) Prednisolone (oral) iii) Cyclophosphomide (iv) |
With MetS 3.44(±1.307) 15.818(±10.877) 11.50(±5.171) |
Without MetS 2.92(±0.335) 6.245(±4.067) 7.28(±4.452) |
|||||
B] Usage of Immune-suppressive Therapy i)
Cyclophosphomide ii) Mycophenolate mofetil iii) Azathioprine |
On therapy 30 2 7 |
No therapy 5 33 28 |
On therapy 30 10 4 |
Not therapy 39 59 65 |
||||
13 |
Mean
Carotid Artery intima-media thickness (cm) (SD) |
With MetS 0.050 (±0.008) |
Without MetS 0.040(±0.005) |
|||||
Table-2: Significant factors associated with
MetS at enrolment in present study.
Sr. No. |
Parameter Studied |
Metabolic Syndrome (MetS) |
Analysis / P value |
|
Yes ( SD) |
No ( SD) |
|||
1 |
Mean age of the
patient (Yr) |
32.86 ( ±9.34) |
27 (±9.779) |
P=0.006 |
2 |
Mean Body Mass
Index |
26.65(±3.134) |
21.07(±3.819) |
P=0.0001 |
3 |
Mean tricep skin
fold thickness (mm) |
20.46(±3.534) |
15.80(±3.261) |
P=0.0001 |
4 |
Mean disease
duration (wk) |
223.94(±197.416) |
64.78(±73.567) |
0.0001 |
5 |
Presence of Lupus
nephritis |
31 out of 35 patients |
46 out 69 patients |
Pearson P= 0.036 |
6 |
SLICC/ACR Damage
Index |
0.629 (±0.77) |
0.319(±0.63) |
P= 0.0304 |
7 |
Anti-DsDNA
Positivity |
10 out of 35 patients |
27 out 69 patients |
p= 0.02282 |
8 |
C3 level
(Number of patients) |
Low- 9 Normal- 26 |
Low - 35 Normal - 34 |
P= 0.01471 |
9 |
ESR |
42.11 (±21.41) |
52.27 (±22.24) |
P= 0.03 |
10 |
Sr. Creatine
(mg/dl) |
1.048 (±0.338) |
0.9217 (±0.28) |
P= 0.047 |
11 |
Mean cumulative
dose (Gm) i)
Pulse MPS ii)
oral prednisolone iii)
Cyclophospohomide |
3.44(±1.307) 15.818(±10.877) 11.50(±5.171) |
2.92(±0.335) 6.245(±4.067) 7.28(±4.452) |
P value 0.005 <0.0001 0.001 |
12 |
Mean Carotid
intima-media thickness (cm) |
0.050 (±0.008) |
0.040 (±0.005) |
0.0001 |
MetS was significantly associated with higher
age, high BMI, longer disease duration, presence of lupus nephritis, positive
anti-ds DNA & Anti-ds DNA and higher cumulative steroid usage.
Discussion
Out of 104 patients
studied, 33.7% were found to have metabolic syndrome (MetS) as per AHA/NHLBI
modified NCEP/ATP III criteria. Similar studies done previously have reported
the prevalence to be from 16-38.2% [13-16,21]. The mean age of SLE patient with
MetS was 32.86 ± 9.34 years where as that of SLE without 27.26 ± 9.78
(P=0.006). Among demographic parameters higher age factors was a risk factor
for MetS. This is in concordance with SLICC-RAS inception cohort study where
mean age of patient with MetS was 36.9 ± 13.3 years & that of patient
without MetS 34.9±14.7 years. The presence of MetS was seen to be more with
increasing age.
Metabolic
syndrome score of SLE patient- Among the patients with MetS (n=35), 17 had presence of 3
components of MetS, 12 had 4 components whereas 6 had all components of MetS.
Among the patients without MetS (n=69), 34 patients had 2 components, 27 had
one component while only 8 patients did not have any component of MetS. So the
scores of either 2 or 1 are at risk of developing metabolic syndrome. Negron et
al found MetS score 2 & 1 in 19.6 & 26 % of study population
respectively which is lower than our study results [14]. Similarly Butlink et
al found MetS score of 2 &1 in 27.7 & 31.2% population [13].
Distribution
of individual components of the metabolic syndrome- Out of the 104 patients in the present study,
30% had high blood pressure, 26% had impaired fasting glucose or were on
treatment for diabetes mellitus, 37% had decreased level of HDL-cholesterol or
were on therapy for decreased HDL–cholesterol, 82% had either high serum
triglycerides or were taking treatment of for high triglycerides and 42% had
increased waist circumference. Hypertriglyceridemia was much more common (82%)
in the patients included in the present study when compared to other studies.
Also patients with MetS in the present study had significantly higher body mass
index (p=0.0001) when compared to those without MetS.
Comparison of distribution of various components of MetS
in SLE patients
Components of Metabolic Syndrome in SLE
Patients |
Present study (n=104) |
Chung et al [16] (n=102) |
Butlink et al [13] (n=141) |
Parker et al [21] (n=1494 |
High Blood
Pressure or Therapy of HTN |
30% |
51% |
60% |
48% |
Impared Fasting
Glucose or Therapy for DM |
26% |
2.9% |
11% |
20.2% |
Decreased
HDL-Cholesterol Or Therapy |
37% |
52% |
32% |
59.1% |
Increased Triglyceride Or Therapy |
82% |
27.5% |
23% |
46.1% |
Increased Waist Circumference |
42% |
48% |
No Data available |
48.4% |
Disease duration- The mean disease duration since the time of
diagnosis in patients with MetS in present study was 223.9±197.4 weeks whereas
it was 64.7±73.6 in the patients. Hence patient with MetS had a longer disease
than those without MetS (p=0.0001). This is in concordance with the study by
Negron et al where patients with MetS had longer disease duration than those
without MetS (11.2±8.3 years vs 7.2±2.9 years, p=0.0001) [14].
Renal
involvement- 31
out of 35 patients with MetS had evidence of renal involvement, of which 30 had
Lupus Nephritis Class III or above. Amongst those without MetS 46 had evidence
of renal involvement, of which 37 had Lupus Nephritis Class III or above. The
presence of MetS correlated with the presence of renal involvement as
determined by Pearson Chi-square test (p=0.036). In the Systemic Lupus
International Collaborating Clinic Registry for Atherosclerosis (SLICC-RAS)
inception cohort, active renal involvement is associated with presence of
MetS.
Disease
activity- The
mean SLEDAI score in patient score in patients with MetS was 3.43±5.0 while
that with patients without MetS was 5.33±6.86 (p=0.142). No significant
association was noted between disease activity & presence of MetS in the
present study. However in the SLICC-RAS inception cohort, a significant
association was noted between disease activity & presence of MetS. The mean
SLEDAI-2K SCORE in patients with MetS in the SLICC-RAS inception cohort was 6.79±6.19
while the among those without MetS was 5.24±5.25 (P=<0.001) [21]. This could be explained on the
basis that the patients in the SLICC-RAS cohort had shorter disease duration
compared to patients in our study. Negron et al [14] had also found significant association between disease
activity and presence of metabolic syndrome; however disease activity was
measured using SLAM-R scores in their study. Patients with MetS had higher mean
SLAM-R scores (5.7±3.0 vs 4.6±2.6, p=0.020)
Damage
Index: The
mean SLICC/ACR Damage index in patients with MetS in the present study was
0.63±0.77 while in those without MetS was 0.32±0.63, p=0.0304. Patients with
MetS had higher damage index than those without MetS. Similar association was
found by Negron et al with mean DI scores of 1.1± 1.2 in patients with MetS vs
0.7±1.2 in patients without MetS(p=0.023) [14].
Serological Parameters
i) ANA & Anti-dsDNA: At the study visit, 27 out of 35 patients
with MetS had positive ANA whereas 64 out of the 69 patients without MetS had
positive ANA. 10 patients out of 35 patients with MetS had positive for
Anti-dsDNA whereas 64 out of the 69 patients without MetS. Of these 2
antibodies, significant association was seen between Anti-dsDNA & presence
of MetS, which is similar to associations noted in the SLICC-RAS inception
cohort [21].
ii) Complement level: In the present study, patients without MetS
had lower C3 levels compared to those with metabolic syndrome (p=0.01417). This
also correlated with the finding that patients without metabolic syndrome had
higher disease activity in our study. However no significant difference was
noted between the two groups with respect to low C4 levels (p=0.4155)
iii) Anti-cardiolipin antibody: In the present study, 13 out of 35 patients
had positive titres for anti-cardiolipin antibody (IgG or IgM or both) ,whereas
24 out of 69 patients without MetS had anti-cardiolipin antibodies. No
significant association was noted between the presence anti-cardiolipin
antibodies & presence of MetS in our study (p=0.81).
iv) Erythrocyte Sedimentation Rate (ESR): The mean ESR was higher in patients without
MetS (52.27±22.24) than in those with MetS (42.11±21.41). Patients without MetS
had more active inflammation as suggested by high ESR when compared to those
with MetS(p=0.03). This also correlates with higher disease activity and low C3
in patients without MetS. However in the study by Negron et al patients
with MetS had higher ESR when compared to those without MetS [14].
v) C Reactive Protein: Among the patients with MetS in the present
study (n=35), 19 had high CRP levels at the study visit while 42 patients
without MetS (n=69) had high CRP levels. No association was found between CRP
reactivity & Presence of MetS (p=0.5194). However, Chung et al had
found higher CRP levels in the subset of SLE patients with MetS in their study
(p=0.0001) [16].
vi) Serum Creatine: In the present study, association was seen in
between the presence of high creatine & MetS (p=0.0047), similar to studies
done by But link et al (p=0.045) and Chung et al (p=0.04) [13,16] .
vii) Serum uric acid: The mean uric acid level in patients with
MetS in the present study was 5.67±1.516 mg%. No association was noted between
serum uric acid levels and the presence of MetS (p=0.656).
Treatment Parameters
i) Steroids: Out of 35 patients with MetS, 34 had
received intravenous pulse methylprednisolone therapy in the past, whereas 58
out of 69 patients without MetS had received intravenous pulse
methylprednisolone therapy. The cumulative dose of methylprednisolone was
higher in patients with MetS than those without MetS (p=0.005). All the
patients in the present study had received oral glucocorticoids. The mean
cumulative dose of oral prednisolone was higher in patients with
MetS(15.818±10.877) than those without without MetS (6.245±4.067, p <0.0001).
Most studies have found significant association between current &
cumulative steroid use and the presence of metabolic syndrome [13-16,21].
ii) Cyclophosphomide: Out of the 35 patients with MetS& 69
patients without MetS, 30 patients in each group had received cyclophosphomide
therapy. Though the cyclophosphomide usage is higher in group with MetS, this
is confounded by the fact that patients with MetS had more renal involvement
and longer duration of disease. iii)
Mycophenolate mofetil, Azathioprine and Methotrexate: Only 12 patients in our
study had received had received mycophenolate mofetil as an immunosuppressive
agent. Of them 2 had MetS. As the number of patients who had received
mycophenolate mofetil was less in the present study, correlation between use of
mycophenolate mofetil & MetS could not be analysed, same with patients
receiving Azathioprine (n=11) or Methotrexate (n=4) and hence reasonable
comparison could not made. Larger studies are needed to study effect of
Mycophenolate mofetil, Azathioprine and Methotrexate on MetS phenotype in SLE
patients.
Carotid intimal
thickness: In the present study, the
mean value of carotid intima-media thickness was higher in patients with MetS
(0.050±0.008cm) than those without MetS (0.040±0.005) (p= 0.0001). Considering
carotid intima-media thickness to be one of the predictors of subclinical
atherosclerosis, patients with MetS are more prone to develop subclinical
atherosclerosis than those without MetS [22].
Conclusion
Out of enrolled 104
patients with systemic lupus erythmatosus, 33.7% patients (n=35) had metabolic
syndrome as per AHA/NHLBI modified NCEP/ATP III criteria. Among demographic
parameters increasing age factors was a risk factor for MetS.
Hypertriglyceridemia was the the most common component of MetS, seen in 82% (n=
85) & increased waist circumference in 42% of the patient. Higher BMI,
higher triceps skin fold thickness, longer disease duration, the presence of
lupus nephritis were associated with presence of metabolic syndrome in SLE patients.
However, no correlation was found between disease activity (as measured by
SLEDAI-2K), neuropsychiatric involvement and presence of MetS. Among
serological parameters, a positive anti-dsDNA and higher serum creatinine were
associated with the presence of MetS; whereas low C3& high ESR were more
frequent in those without MetS. However, there was no association was found
between ANA, Low C3, Anti-cardiolipin antibody, CRP levels &
serum uric acid levels and presence of MetS. Patient with MetS had higher
damage index due to lupus disease as measured by SLICC/ACR damage index as
compared to those without MetS. Higher cumulative dose of steroids (both
intravenous pulse& oral prednisolone) was associated with MetS. Though
cyclophosphomide usage was higher in group with MetS, this is confounded by the
fact that patients with MetS had more renal involvement & longer duration
of disease. As only few patient had received mycofenolate mofetil, azathioprine
and methotrexate, comparisons could not be made. Patient with MetS had higher
carotid artery intima-media thickness than those without MetS. In conclusion,
higher age, longer disease duration, lupus nephritis, positive anti-ds DNA and
higher cumulative steroid usage were associated with MetS in our study which in
turn was associated with increased carotid intima-media thickness. Thus
screening of SLE patients for metabolic syndrome will help in identifying those
at risk for premature atherosclerotic cardiovascular disease, so that early
lifestyle and therapeutic interventions can be initiated.
Contributors: All authors contributed to data collection,
analysis and manuscript preparation & have critically reviewed and edited
the manuscript, and approved its publication.
What this study add to existing knowledge? There has been a 4-fold rise of Coronary
Heart Disease prevalence in India during the past 40 years, can be explained by
the alarming rise in the prevalence of coronary risk factors like diabetes,
hypertension, atherogenic dyslipidemia, smoking, central obesity and physical
inactivity. In addition to that SLE will increase the risk further particularly
in young population. Very few studies address this association between MetS in
SLE in Indian population. So, Screening for risk factors of MetS in Indian SLE
patients will definitely help in identifying the risk for premature
atherosclerotic cardiovascular disease for early intervention.
References