Abstract:
Coronary artery disease (CAD) still remains as one of the chief causes of mortality
and morbidity in the world.With a pooled prevalence of 11% noted for the young
adult population in India, the statistics are intimidating. The major driving force in
CAD is chronic, low grade systemic inflammation which is intrinsic to the activation,
progression, plaque destabilization with eventual disruption of the coronary plaques
leading to Major Adverse Cardiac Events (MACEs).The risk of CAD includes an
intricate reciprocity between the genetic and the factors related to an individual’s
lifestyle. Of the many emeging risk factors, incessant inflammation known to be
contributed by lifestyle and diet are important and are more than amenable to
modification. The current study used the Dietary Inflammatory Index (DII®) to know
the inflammatory potential of an individual's overall dietsry intake as it is validated by
numerous studies and against many inflammatory markers. Our study was aimed to
investigate the association between DII, inflammatory biomarkers, CAD severity, and
MACEs in a North Karnataka population with distinct dietary patterns.
Methods: This prospective cohort study was conducted over a period of two years
and enrolled 310 CAD patients between the age of 18-76 year from district of
Vijayapura, Karnataka, India. Dietary intake were calculated by the use of Food
Frequency Questionnaire developed and validated particulary to be used in north
Karnataka population. After calculating the DII scores, the CAD patients were
divided into quartiles based on the DII scores. Q4 had CAD patients with higher DII
scores which indicated the diet as proinflamamtory and Q1 had CAD patients with
lower scores whose dietary intake were considered anti-inflammatory.Baseline
demographic, anthropometric, and clinical data of the CAD patients were noted and
also Serum levels of high-sensitivity C-reactive protein (hsCRP), tumor necrosis
factor-alpha (TNF-α), and interleukin-10 (IL-10) were estimated as markers of
chronic systemic inflammation in them. The patients were followed for 30 days to
document MACEs. The software SPSS 26 (SPSS Inc., version 0.21, Chicago, IL) was
employed for the statistical analyses. Our study considered p-values less than 0.05 as
statistically significant.The results were analysed using statistical analyses like
ANOVA, Chi-square tests, and binary conditional logistic regression, and were
adjusted for the many potential confounders of CAD such as age, gender, Body MassIndex, smoking status, Hypertension, total serum cholesterol, Diabetes Mellitus(DM),
physical inactivity to reduce the bias.
Results: The mean DII score of the CAD cohort was 2.28 ± 1.75 which indicated a
dietary pattern which is predominantly pro-inflammatory in nature. A statistically
significant association was observed between higher DII quartiles (Q4) and increased
prevalence of older age (p=0.01), Hypertension status (p=0.01) and status of type-2
DM (p=0.03), and serum HsCRP levels showed an increase and was statistically
significant (p<0.001) and the serum levels of IL-10 levels significantly decreased
(p<0.001) with increasing DII quartiles (Q1 to Q4), suggesting a direct relationship
between dietary inflammatory potential (DII scores) and systemic inflammatory load.
An increased incidence of MACEs (20.6% overall) was significantly associated with
higher DII scores (p<0.001), particularly second MI and urgent revascularization
procedures. Unadjusted analysis showed a nearly 5-fold increased risk of MACEs in
the highest DII quartile (OR=4.82, 95% CI: 2.2-10.6, p<0.001). The odds of MACEs
in the highest DII quartile (Q4) remained 2.52 times higher than in the lowest (Q1)
even after adjusting for known confounders
Conclusion: Diet with a higher DII score indicating a pro-inflammatory nature, is
significantly correlated with increased systemic inflammation (higher hsCRP, lower
IL-10) and a higher incidence of MACEs in CAD patients from North Karnataka.
These findings underscore the crucial role inflammation associated with diet in the
progression and adverse outcomes of CAD, highlighting the potential for dietary
interventions as a personalized strategy for secondary prevention.
Keywords: Dietary Inflammatory Index (DII), Cardiovascular Disease (CVD)
Outcomes, Chronic Inflammation, Precision Nutrition, Indian Population.