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1.
J Assoc Physicians India ; 63(6): 46-50, 2015 Jun.
Article in English | MEDLINE | ID: mdl-26710400

ABSTRACT

Acute myocardial infarction (AMI) causes significant mortality and morbidity. Timely diagnosis allows clinicians to risk stratify their patients and select appropriate treatment. Biomarkers have been used to diagnose or rule out AMI. An increasing number of novel biomarkers have been identified to predict the outcome following AMI or acute coronary syndrome (ACS). This may facilitate tailoring of appropriate therapy to high-risk patients. This review focuses on a variety of promising biomarkers which provide diagnostic and prognostic information.


Subject(s)
Acute Coronary Syndrome/diagnosis , Acute Coronary Syndrome/metabolism , Biomarkers/metabolism , Acute Coronary Syndrome/therapy , Humans
2.
Indian Heart J ; 66(1): 73-82, 2014.
Article in English | MEDLINE | ID: mdl-24581100

ABSTRACT

Despite recent advances, the diagnosis and management of heart failure evades the clinicians. The etiology of congestive heart failure (CHF) in the Indian scenario comprises of coronary artery disease, diabetes mellitus and hypertension. With better insights into the pathophysiology of CHF, biomarkers have evolved rapidly and received diagnostic and prognostic value. In CHF biomarkers prove as measures of the extent of pathophysiological derangement; examples include biomarkers of myocyte necrosis, myocardial remodeling, neurohormonal activation, etc. In CHF biomarkers act as indicators for the presence, degree of severity and prognosis of the disease, they may be employed in combination with the present conventional clinical assessments. These make the biomarkers feasible options against the present expensive measurements and may provide clinical benefits.


Subject(s)
Galectin 3/blood , Heart Failure/blood , Heart Failure/mortality , Natriuretic Peptide, Brain/blood , Peptide Fragments/blood , Biomarkers/blood , Consensus , Disease Management , Disease Progression , Heart Failure/therapy , Humans , Monitoring, Physiologic/methods , Risk Assessment , Sensitivity and Specificity , Severity of Illness Index , Survival Rate
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