Subclinical Vitamin C Plasma Levels Associated with Increased Risk of CAD Diagnosis via Inflammation: Results from the NHANES 2003-2006 Surveys.
Jennifer M CrookSaun-Joo L YoonOliver GrundmannAnn HorgasVersie Johnson-MallardPublished in: Nutrients (2023)
Vitamin C remains an important, yet frequently unassessed, component of a healthy immune system though it may prove useful in alleviating the chronic inflammatory processes underlying chronic diseases such as coronary artery disease (CAD). Recent research identified a sizeable proportion of the United States population with insufficient vitamin C plasma levels and significant associations to both acute and chronic inflammation. This cross-sectional study used the 2003-2006 NHANES surveys data to extrapolate associations between plasma vitamin C levels (deficiency, hypovitaminosis, inadequate, adequate, and saturating) and CAD through inflammation (C-reactive protein and red cell distribution width). Increased reports of CAD diagnosis were identified in participants with vitamin C deficiency (OR: 2.31, CI: 1.49-3.58) and inadequate plasma levels (OR: 1.39, CI: 1.03-1.87). No significant correlation was identified between any other plasma vitamin C quintiles and CAD. When inflammation was controlled, previous associations in the deficient level of plasma vitamin C were no longer significant in association with CAD and participants with inadequate plasma vitamin C showed a reduced association to CAD diagnoses (OR: 0.33, CI: 0.13-0.86). Most chronic inflammation and vitamin C plasma statuses do not demonstrate specific signs or symptoms until the deficient level of vitamin C and/or disease. Thus, increased surveillance of both, and healthy nutritional habits remain crucial modifiable risk factors for disease prevention.
Keyphrases
- coronary artery disease
- oxidative stress
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- cross sectional
- public health
- emergency department
- single cell
- cardiovascular disease
- machine learning
- aortic stenosis
- heart failure
- stem cells
- intensive care unit
- physical activity
- mesenchymal stem cells
- left ventricular
- deep learning
- bone marrow
- atrial fibrillation
- artificial intelligence
- big data
- hepatitis b virus
- adverse drug