Logit and Fuzzy Models in Data Analysis: Estimation of Risk in
Cardiac Patients

J 2010

Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients

HONZÍK, P.; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ et al.

Základní údaje

Originální název

Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients

Autoři

HONZÍK, P.; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ; Bohumil FIŠER a Nataša HONZÍKOVÁ

Vydání

Physiological Research, 2010, 0862-8408

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30201 Cardiac and Cardiovascular systems

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.646

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/10:00058952

Organizační jednotka

Lékařská fakulta

UT WoS

000279049100013

Klíčová slova anglicky

Risk prediction; Myocardial infarction; Implantable cardioverter-defibrillator; Fuzzy logic; Area under receiver operating characteristic; Logistic regression

Příznaky

Mezinárodní význam

Změněno: 8. 10. 2012 13:51, Mgr. Michal Petr

Anotace

V originále

The aim of this study was a comparison of risk stratification for death in patients after myocardial infarction (MI) and of risk stratification for malignant arrhythmias in patients with implantable cardioverter-defibrillator (ICD). The individual risk factors and more complex approaches were used, which take into account that a borderline between a risky and non-risky value of each predictor is not clear-cut (fuzzification of a critical value) and that individual risk factors have different weight (area under receiver operating curve - AUC or Sommers' D - Dxy). The risk factors were baroreflex sensitivity, ejection fraction and the number of ventricular premature complexes/hour on Holter monitoring. Those factors were evaluated separately and they were involved into logit model and fuzzy models (Fuzzy, Fuzzy-AUC, and Fuzzy-Dxy). Two groups of patients were examined: a) 308 patients 7-21 days after MI (23 patients died within period of 24 month); b) 53 patients with left ventricular dysfunction examined before implantation of ICD (7 patients with malignant arrhythmia and electric discharge within 11 month after implantation). Our results obtained in MI patients demonstrated that the application of logit and fuzzy models was superior over the risk stratification based on algorithm where the decision making is dependent on one parameter. In patients with implanted defibrillator only logit method yielded statistically significant result, but its reliability was doubtful because all other tests were statistically insignificant. We recommend evaluating the data not only by tests based on logit model but also by tests based on fuzzy models.

Návaznosti

MSM0021622402, záměr

Název: Časná diagnostika a léčba kardiovaskulárních chorob

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Časná diagnostika a léčba kardiovaskulárních chorob

Citovat

HONZÍK, P.; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ; Bohumil FIŠER a Nataša HONZÍKOVÁ. Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients. Physiological Research. 2010, roč. 59, suppl. 1, s. "S89"-"S96", 8 s. ISSN 0862-8408.

@article{920670,
   author = {Honzík, P. and Křivan, Lubomír and Lokaj, Petr and Lábrová, Růžena and Nováková, Zuzana and Fišer, Bohumil and Honzíková, Nataša},
   article_number = {suppl. 1},
   keywords = {Risk prediction; Myocardial infarction; Implantable cardioverter-defibrillator; Fuzzy logic; Area under receiver operating characteristic; Logistic regression},
   language = {eng},
   issn = {0862-8408},
   journal = {Physiological Research},
   note = {37th Workshop of the Committee-of-Experimental-Cardiology},
   title = {Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients},
   url = {http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf},
   volume = {59},
   year = {2010}
}

TY  - JOUR
ID  - 920670
AU  - Honzík, P. - Křivan, Lubomír - Lokaj, Petr - Lábrová, Růžena - Nováková, Zuzana - Fišer, Bohumil - Honzíková, Nataša
PY  - 2010
TI  - Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients
JF  - Physiological Research
VL  - 59
IS  - suppl. 1
SP  - "S89"-"S96"
EP  - "S89"-"S96"
SN  - 08628408
N1  - 37th Workshop of the Committee-of-Experimental-Cardiology
KW  - Risk prediction
KW  - Myocardial infarction
KW  - Implantable cardioverter-defibrillator
KW  - Fuzzy logic
KW  - Area under receiver operating characteristic
KW  - Logistic regression
UR  - http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf
L2  - http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf
N2  - The aim of this study was a comparison of risk stratification for death in patients after myocardial infarction (MI) and of risk stratification for malignant arrhythmias in patients with implantable cardioverter-defibrillator (ICD). The individual risk factors and more complex approaches were used, which take into account that a borderline between a risky and non-risky value of each predictor is not clear-cut (fuzzification of a critical value) and that individual risk factors have different weight (area under receiver operating curve - AUC or Sommers' D - Dxy). The risk factors were baroreflex sensitivity, ejection fraction and the number of ventricular premature complexes/hour on Holter monitoring. Those factors were evaluated separately and they were involved into logit model and fuzzy models (Fuzzy, Fuzzy-AUC, and Fuzzy-Dxy). Two groups of patients were examined: a) 308 patients 7-21 days after MI (23 patients died within period of 24 month); b) 53 patients with left ventricular dysfunction examined before implantation of ICD (7 patients with malignant arrhythmia and electric discharge within 11 month after implantation). Our results obtained in MI patients demonstrated that the application of logit and fuzzy models was superior over the risk stratification based on algorithm where the decision making is dependent on one parameter. In patients with implanted defibrillator only logit method yielded statistically significant result, but its reliability was doubtful because all other tests were statistically insignificant. We recommend evaluating the data not only by tests based on logit model but also by tests based on fuzzy models.
ER  -

HONZÍK, P.; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ; Bohumil FIŠER a Nataša HONZÍKOVÁ. Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients. \textit{Physiological Research}. 2010, roč.~59, suppl. 1, s.~''S89''-''S96'', 8 s. ISSN~0862-8408.

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