US 11,686,736 B2
Biomarkers to improve prediction of heart failure risk
Christie Mitchell Ballantyne, Houston, TX (US); Ron Hoogeveen, Houston, TX (US); Vijay Nambi, Houston, TX (US); and Lloyd E. Chambless, Chapel Hill, NC (US)
Filed by Christie Mitchell Ballantyne, Houston, TX (US); Ron Hoogeveen, Houston, TX (US); Vijay Nambi, Houston, TX (US); and Lloyd E. Chambless, Chapel Hill, NC (US)
Filed on Mar. 15, 2018, as Appl. No. 15/922,431.
Application 15/922,431 is a continuation of application No. 14/870,155, filed on Sep. 30, 2015, abandoned.
Application 14/870,155 is a continuation of application No. 14/068,816, filed on Oct. 31, 2013, abandoned.
Claims priority of provisional application 61/721,475, filed on Nov. 1, 2012.
Prior Publication US 2018/0203022 A1, Jul. 19, 2018
Int. Cl. G01N 33/68 (2006.01); G16H 50/30 (2018.01); G01N 33/74 (2006.01)
CPC G01N 33/6893 (2013.01) [G01N 33/6887 (2013.01); G01N 33/74 (2013.01); G16H 50/30 (2018.01); G01N 2333/4712 (2013.01); G01N 2333/58 (2013.01); G01N 2800/325 (2013.01); G01N 2800/50 (2013.01); G01N 2800/52 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A method for diagnosing heart failure risk in a subject, the method consisting essentially of:
(a) obtaining the subject's simplified model factors, wherein the simplified model factors are (i) age and race; or (ii) age, race and gender;
(b) obtaining the amount of Troponin T (TnT) and the amount of NT-pro B-type natriuretic peptide (NT-proBNP) in a serum or plasma sample obtained from the subject;
(c) calculating a simplified model score, using a computer comprising an evaluation unit, based on the amount of TnT and the amount of NT-proBNP in the biological sample obtained from the subject and the subject's simplified model factors, wherein the evaluation unit comprises a database with stored reference amounts of TnT and NT-proBNP and a computer program code; and
(d) providing a diagnosis of heart failure risk based on the simplified model score calculated in step c).