Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
ECG MYOCARDIAL INFARCT SIZE - A GENDER-INSENSITIVE, AGE-INSENSITIVE, RACE-INSENSITIVE 12-SEGMENT MULTIPLE-REGRESSION MODEL .1. RETROSPECTIVE LEARNING SET OF 100 PATHOANATOMIC INFARCTS AND 229 NORMAL CONTROL SUBJECTS
Autore:
SELVESTER RHS; WAGNER GS; IDEKER RE; GATES K; STARR S; AHMED J; CRUMP R;
Indirizzi:
LONG BEACH MEM MED CTR,MEM HEART INST,2801 ATLANTIC AVE,POB 1428 LONGBEACH CA 90801 DUKE UNIV,MED CTR,DIV CARDIOL DURHAM NC 27710 UNIV ALABAMA,MED CTR,DIV CARDIOL BIRMINGHAM AL 35294
Titolo Testata:
Journal of electrocardiology
, volume: 27, anno: 1994, supplemento:, S
pagine: 31 - 41
SICI:
0022-0736(1994)27:<31:EMIS-A>2.0.ZU;2-9
Fonte:
ISI
Lingua:
ENG
Soggetto:
QRS SCORING SYSTEM; QUANTITATIVE ANATOMIC FINDINGS; SPECIFICITY; CRITERIA;
Keywords:
MYOCARDIAL INFARCT; MULTIPLE REGRESSION MODEL; QRS INFARCT SIZE SCORE; COMPUTERIZED ECG ANALYSIS; GENDER; AGE; RACE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
40
Recensione:
Indirizzi per estratti:
Citazione:
R.H.S. Selvester et al., "ECG MYOCARDIAL INFARCT SIZE - A GENDER-INSENSITIVE, AGE-INSENSITIVE, RACE-INSENSITIVE 12-SEGMENT MULTIPLE-REGRESSION MODEL .1. RETROSPECTIVE LEARNING SET OF 100 PATHOANATOMIC INFARCTS AND 229 NORMAL CONTROL SUBJECTS", Journal of electrocardiology, 27, 1994, pp. 31-41

Abstract

In this early study of ongoing work with multiple regression modelingfor mapping myocardial infarct (MI) into 12 left ventricular (LV) segments, promising results have been presented using electrocardiographic (EGG) QRS variables that are gender, age, and race insensitive (GARI), the GARI-QRS 12-segment multiple regression model. These include Q,R, and S duration, expressed as percentage total QRS duration, and R/Q duration, R/Q amplitude, R/S duration, and R/S amplitude variables. For version I, building 12 regression models using 68 single and 32 multiple MIs, the GARI-QRS variables correlated with pathoanatomic MI ineach of 12 segments with r values ranging from .67 to .88. In versionII of the model, using all MIs and 229 normal subjects, r = .73-.91. Version II predictions of MI in 12 LV segments for each subject were used to calculate the predicted total percentage LV infarct, which correlated well with that found at autopsy. The r values found were .81 for all single MIs, .73 for multiple MIs, and .80 for all MIs taken together. With refinements of the input ECG variables to include (1) improvement in the GARI-QRS variables, (2) adding a significant number of subjects with hypertrophies and conduction defects with and without MI to an expanded learning set, and (3) applying the enhanced 12-LV-segment regression models to a similar test set, it is to be expected that these regression models can be improved even further in such a way as to be applicable to general clinical populations using routine computerized ECG analysis programs.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 10/07/20 alle ore 01:45:58