RISK-SCORING MODEL TO PREDICT ONE-YEAR MAJOR ADVERSE CARDIAC EVENTS AFTER PERCUTANEOUS CORONARY INTERVENTION

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KASSAIAN SEYED EBRAHIM; SAROUKHANI SEPIDEH; ALAEDDINI FARSHID; SALARIFAR MOJTABA; CAPODANNO DAVIDE; POORHOSEINI HAMIDREZA; LOTFI TOKALDANY MASOUMEH; LEESAR MASSOUD A.; AGHAJANI HASSAN; HAKKI KAZZAZI ELHAM; ALIDOOSTI MOHAMMAD; HAJI ZEINALI ALI MOHAMMAD; SAIFI MARYAM; NEMATIPOUR EBRAHIM

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Journal: THE JOURNAL OF TEHRAN UNIVERSITY HEART CENTER Year:2015 | Volume:10 | Issue:4 Page(s): 167-175

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Title

RISK-SCORING MODEL TO PREDICT ONE-YEAR MAJOR ADVERSE CARDIAC EVENTS AFTER PERCUTANEOUS CORONARY INTERVENTION

Author(s)

Keywords

PATIENT-SPECIFIC MODELING

PROGNOSIS

PERCUTANEOUS CORONARY INTERVENTION

Abstract

Background: The aim of the present study was to develop a scoring system for predicting 1-year major adverse cardiac events (MACE), including mortality, target vessel or target lesion revascularization, coronary artery bypass graft surgery, and non-fatal myocardial infarction after PERCUTANEOUS CORONARY INTERVENTION (PCI).Methods: The data were extracted from a single center PCI registry. The score was created based on the clinical, procedural, and laboratory characteristics of 8206 patients who underwent PCI between April 2004 and October 2009. Consecutive patients undergoing PCI between November 2009 and February 2011 (n=2875) were included as a validation data set.Results: Diabetes mellitus, increase in the creatinine level, decrease in the left ventricular ejection fraction, presentation with the acute coronary syndrome, number of diseased vessels, primary PCI, PCI on the left anterior descending artery and saphenous vein graft, and stent type and diameter were identified as the predictors of the outcome and used to develop the score (R²=0.795). The models had adequate goodness of fit (Hosmer-Lemeshow statistic; p value=0.601) and acceptable ability of discrimination (c-statistics=0.63). The score categorized the individual patients as low-, moderate-, and high-risk for the occurrence of MACE. The validation of the model indicated a good agreement between the observed and expected risks.Conclusion: An individual risk-scoring system based on both clinical and procedural variables can be used conveniently to predict 1-year MACE after PCI. Risk classification based on this score can assist physicians in decision-making and postprocedural health care.

Cites

Mean Platelet Volume and Major Adverse Cardiac Events following Percutaneous Coronary Intervention

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APA: Copy

KASSAIAN, SEYED EBRAHIM, SAROUKHANI, SEPIDEH, ALAEDDINI, FARSHID, SALARIFAR, MOJTABA, CAPODANNO, DAVIDE, POORHOSEINI, HAMIDREZA, LOTFI TOKALDANY, MASOUMEH, LEESAR, MASSOUD A., AGHAJANI, HASSAN, HAKKI KAZZAZI, ELHAM, ALIDOOSTI, MOHAMMAD, HAJI ZEINALI, ALI MOHAMMAD, SAIFI, MARYAM, & NEMATIPOUR, EBRAHIM. (2015). RISK-SCORING MODEL TO PREDICT ONE-YEAR MAJOR ADVERSE CARDIAC EVENTS AFTER PERCUTANEOUS CORONARY INTERVENTION. THE JOURNAL OF TEHRAN UNIVERSITY HEART CENTER, 10(4), 167-175. SID. https://sid.ir/paper/302058/en

Vancouver: Copy

KASSAIAN SEYED EBRAHIM, SAROUKHANI SEPIDEH, ALAEDDINI FARSHID, SALARIFAR MOJTABA, CAPODANNO DAVIDE, POORHOSEINI HAMIDREZA, LOTFI TOKALDANY MASOUMEH, LEESAR MASSOUD A., AGHAJANI HASSAN, HAKKI KAZZAZI ELHAM, ALIDOOSTI MOHAMMAD, HAJI ZEINALI ALI MOHAMMAD, SAIFI MARYAM, NEMATIPOUR EBRAHIM. RISK-SCORING MODEL TO PREDICT ONE-YEAR MAJOR ADVERSE CARDIAC EVENTS AFTER PERCUTANEOUS CORONARY INTERVENTION. THE JOURNAL OF TEHRAN UNIVERSITY HEART CENTER[Internet]. 2015;10(4):167-175. Available from: https://sid.ir/paper/302058/en

IEEE: Copy

SEYED EBRAHIM KASSAIAN, SEPIDEH SAROUKHANI, FARSHID ALAEDDINI, MOJTABA SALARIFAR, DAVIDE CAPODANNO, HAMIDREZA POORHOSEINI, MASOUMEH LOTFI TOKALDANY, MASSOUD A. LEESAR, HASSAN AGHAJANI, ELHAM HAKKI KAZZAZI, MOHAMMAD ALIDOOSTI, ALI MOHAMMAD HAJI ZEINALI, MARYAM SAIFI, and EBRAHIM NEMATIPOUR, “RISK-SCORING MODEL TO PREDICT ONE-YEAR MAJOR ADVERSE CARDIAC EVENTS AFTER PERCUTANEOUS CORONARY INTERVENTION,” THE JOURNAL OF TEHRAN UNIVERSITY HEART CENTER, vol. 10, no. 4, pp. 167–175, 2015, [Online]. Available: https://sid.ir/paper/302058/en

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