Comparison of the seven-year predictive value of six risk scores in acute coronary syndrome patients: Grace, timi stemi, timi nstemi, simple, zwolle and banach

QUOTING:

M. Karczewski, K. J. Filipiak, R. Główczyńska, M. Grabowski, Z. Huczek, G. Karpiński, Ł. Kołtowski, G. Opolski, Comparison of the seven-year predictive value of six risk scores in acute coronary syndrome patients: Grace, timi stemi, timi nstemi, simple, zwolle and banach, Kardiologia Polska 72 (2), (2014) 155-165. doi:10.5603/KP.a2013.0216
Karczewski M., Filipiak K. J., Główczyńska R., Grabowski M., Huczek Z., Karpiński G., Kołtowski Ł., Opolski G.,

Abstract

Background and aim: To compare the long-term predictive value of six risk scores in a seven-year follow-up of acute coronary syndrome (ACS) patients. Methods: We followed 906 patients diagnosed with ACS for seven years prospectively. The following risk scores (RS) were calculated: TIMI STEMI, TIMI NSTEMI, GRACE, SIMPLE, ZWOLLE and BANACH. Based on the survival data, the predictive value for each RS was calculated with receiver operating characteristics (ROC) curve analysis and presented as area under curve (AUC). Results: The seven-year survival was 71%. The RS showed diverse long-term predictive values and AUC. The best estimation was demonstrated by the TIMI STEMI (0.779 [95% CI 0.743–0.812]), GRACE RS (0.766 [95% CI 0.737–0.794]) and BANACH RS (0.743 [95% CI 0.713–0.771]). Other scores presented were SIMPLE (0.714 [95% CI 0.683–0.743], TIMI NSTEMI (0.635 [95% CI 0.580–0.688]) and ZWOLLE (0.739 [95% CI 0.697–0.779]. Conclusions: The predictive values of currently recommended RSs are good for long-term perspective (seven years). RSs with high usability, such as BANACH RS, demonstrate accuracy similar to the more advanced RS. Key words: acute coronary syndrome, risk stratification, myocardial infarction, long-term prognosis, Poland

Contact

 

 

 

The Faculty of Environmental Engineering and Geodesy

Institute of Environmental Engineering

Wrocław University of Environmental and Life Sciences

Address:
pl. Grunwaldzki 24,
50-363 Wrocław

Project assumptions

The overall goal of the project is to develop an innovative multifactor mathematical model enabling monitoring of bath contamination used in the electropolishing process of austenitic stainless steels. This model will allow optimization and reduction of process costs and will have an impact on reducing environmental pollution during electrolytic polishing of austenitic stainless steels.

The final outcome of the project will consist in the development of a method of monitoring the gradual contamination of the electropolishing bath.

Team

The team deals with research in the field of electrochemistry, wastewater treatment, monitoring and optimization of processes in laboratory and industrial conditions. The diverse experience of individual members of the IonsMonit team is its strength.

 


 

Project: “A pioneering model for monitoring pollution of electropolishing process baths (IonsMonit)” financed by the National Center for Research and Development as part of the Lider programme.

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