Asian Journal of Research in Biochemistry

Introduction: The term “cardiovascular diseases” (CVDs) refers to any disease affecting the heart or blood vessels. CVDs are the most common cause of death worldwide and the most responsible reason for 10% of deaths in the early 20th century. These CVDs can emerge as myocardial infarction or ischemic heart disease, stroke, and congestive heart failure. For diagnosing CVDs, physical, radiological investigations, and laboratory investigations for cardiac enzymes and lipid profile are used. In clinical practices, cardiovascular risk prediction models are very important in the identification, prevention, and staging of the severity of CVDs. Framingham Risk Score-coronary heart disease, Framingham Risk Score-cardiovascular disease, QRESEARCH-cardiovascular risk algorithm, Joint British Society risk-calculator-3, WHO/ISH CVD risk prediction charts, and Atherosclerotic Cardiovascular Disease risk-estimator are some of the available CVD risk estimators. However, many of these estimators can be used only to evaluate individuals more than 40 years and to assess the risk for 10-years.  Therefore, new risk estimators are needed to overcome the deficiencies of the available risk estimators. Research have been done in novel directions; on ratios of routinely performing hematological and biochemical laboratory parameters such as Neutrophil to Lymphocyte Ratio (NLR), Platelet to Lymphocyte Ratio (PLR), and Aspartate aminotransferase to Alanine aminotransferase ratio (AST/ALT). The outcomes indicate a relationship between the above-said ratios and the risk for CVDs. 

Conclusion: On such grounds, this review describes the importance of developing a CVD risk estimator by amalgamating some of the biochemical and hematological parameters, including NLR, PLR, and AST/ALT ratios, aiming to overcome the existing shortcomings.