E-ISSN 0976-2833 | ISSN 0975-3583
 

Original Research 


Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin.

Abstract
Introduction: There are many risk prediction models utilized to see effects of risk factors to dependent variables with final aims to aid clinicians and patients making decisions. This study mainly aimed to develop a risk prediction model for long-term mortality after percutaneous coronary intervention (PCI) for cardiovascular disease patients.

Methodology: Data on 10,511 patients who underwent PCI procedure between 2008 to 2012 were obtained from a source data provider center for National Cardiovascular Disease Database (NCVD)-PCI registry. The data were randomly divided into development and validation datasets. After variable selection process, multiple logistic regression technique was used to develop a predictive model using the development dataset, then the model was validated using the validation samples. The goodness-of-fit and the performance of the models in both samples were evaluated by Hosmer-Lemeshow, and area under the receiver operating characteristic (ROC) curve.

Result: Mortality rate in three years after PCI was 9.6%. Eight predictors were associated with the 3-year mortality of PCI and included in the final model. The area under the ROC curves were 0.7809 and 0.7780 in the development and validation dataset respectively.

Conclusion: An accurate and reliable model was produced to predict three-year mortality after PCI procedure.

Key words: Risk Prediction Model, Percutaneous Coronary Intervention, Long-term Mortality.


 
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How to Cite this Article
Pubmed Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30


Web Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. http://www.jcdronline.org//?mno=17711 [Access: October 21, 2020]. doi:10.31838/jcdr.2020.11.04.30


AMA (American Medical Association) Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30



Vancouver/ICMJE Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30



Harvard Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin (2020) Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30



Turabian Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. 2020. Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30



Chicago Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. "Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention." doi:10.31838/jcdr.2020.11.04.30



MLA (The Modern Language Association) Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin. "Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention." doi:10.31838/jcdr.2020.11.04.30



APA (American Psychological Association) Style

Norhafizah Ab Manan, Ahmad Khairuddin, Basir Abidin (2020) Risk Prediction Model for Long-Term Mortality after Percutaneous Coronary Intervention. doi:10.31838/jcdr.2020.11.04.30





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