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.

Basic information

Original name

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

Authors

HONZÍK, P. (203 Czech Republic, guarantor), Lubomír KŘIVAN (203 Czech Republic, belonging to the institution), Petr LOKAJ (203 Czech Republic, belonging to the institution), Růžena LÁBROVÁ (203 Czech Republic, belonging to the institution), Zuzana NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Bohumil FIŠER (203 Czech Republic, belonging to the institution) and Nataša HONZÍKOVÁ (203 Czech Republic, belonging to the institution)

Edition

Physiological Research, 2010, 0862-8408

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30201 Cardiac and Cardiovascular systems

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.646

RIV identification code

RIV/00216224:14110/10:00058952

Organization unit

Faculty of Medicine

UT WoS

000279049100013

Keywords in English

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

Abstract

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.

Links

MSM0021622402, plan (intention)

Name: Časná diagnostika a léčba kardiovaskulárních chorob

Investor: Ministry of Education, Youth and Sports of the CR, Early diagnostics and treatment of cardiovascular diseases

Citovat

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

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