Dynamic prediction of outcome for patients with severe aortic stenosis: Application of joint models for longitudinal and time-to-event data

BMC Cardiovascular Disorders

Volumn 15, Issue 1, 2015, Pages

  Andrinopoulou, Eleni Rosalina ^a   Rizopoulos, Dimitris ^a   Geleijnse, Marcel L ^a   Lesaffre, Emmanuel ^a,b   Bogers, Ad J J C ^a   Takkenberg, Johanna J M ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b KU LEUVEN   (Belgium)

Author keywords

Aortic valve disease; Brain natriuretic peptide; Individualized prediction; Survival; Valvular disease

Indexed keywords

BRAIN NATRIURETIC PEPTIDE; CREATININE; BIOLOGICAL MARKER;

AGE; AGED; AORTA STENOSIS; AORTA VALVE; AORTA VALVE REPLACEMENT; ARTICLE; CREATININE BLOOD LEVEL; DATA ANALYSIS; DEATH; DISEASE ASSOCIATION; FEMALE; HEART LEFT VENTRICLE EJECTION FRACTION; HUMAN; MAJOR CLINICAL STUDY; MALE; MIXED EFFECTS MODEL; MODEL; OUTCOME ASSESSMENT; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROGNOSIS; SEX DIFFERENCE; SURVIVAL; SURVIVAL PREDICTION; TIME TO EVENT DATA; AORTA VALVE STENOSIS; BLOOD; HEART STROKE VOLUME; MORTALITY; PROCEDURES; RISK ASSESSMENT; STATISTICAL MODEL; TIME FACTOR;

AGE FACTORS; AGED; AORTIC VALVE STENOSIS; BIOMARKERS; CREATININE; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; NATRIURETIC PEPTIDE, BRAIN; PROGNOSIS; RISK ASSESSMENT; SEX FACTORS; STROKE VOLUME; TIME FACTORS;

EID: 84929090635     PISSN: None     EISSN: 14712261     Source Type: Journal    
DOI: 10.1186/s12872-015-0035-z     Document Type: Article

References (12)

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