Application Of Euroscore To Predict Risk Of Mortality After Coronary Artery Bypass Grafting In Pakistani Population
By: Ali Naeem (2014-VA-780) | Dr. Muhammad Hassan Mushtaq.
Contributor(s): Dr. Ammar Hameed Khan | Dr. Mamoona Chaudhry | Dr. Muhammad Nasir.
Material type: BookPublisher: 2016Description: 63p.Subject(s): Epidemiology and Public HealthDDC classification: 2713-T Dissertation note: Coronary artery bypass surgery has become the standard of care for advanced coronary artery disease. It is one of the most audited and closely monitored operations in the history of surgery. Morbidity and mortality associated with this operation is also very closely monitored by surgeons, hospitals, professional bodies and governments at large. Based on the preoperative clinical information available about patients preparing to undergo coronary artery bypass surgery various predictive models for assessment of mortality risk have been developed over the last two decades in various regions across the world. Euro SCORE is one such predictive model which can accurately predict the risk of mortality for large groups of patients for the population in which it was developed. A large number of Pakistanis and nationals from South East Asian countries reside in different European countries and form part of the population on which this score has been developed and validated. We intend to find out the predictive accuracy of this model in our patients living in Pakistan. Euro SCORE accurately predicts operative mortality in patients from Pakistani population. This study will be conducted at the Department of Cardiac Surgery Shalamar Hospital Lahore. One hundred consecutive patients admitted to hospital for coronary artery bypass surgery will be enrolled in study. A total of 18 variables as included in EuroSCORE (Appendix 1) will be collected and entered into database. The expected mortality risk will be calculated by the EuroSCORE Calculator software (http://www.euroscore.org/). Actual or observed mortality and morbidity will also be recorded. Statistical analysis will be performed using SPSS version16. Continuous numerical data will be presented as mean ± Standard deviation, the Student t test will be used to compare means of normally distributed data. The qualitative data will be analyzed using chi square test. The relationship of the observed and the expected rates of mortality will be assessed using ROC curves for the accuracy of prediction of the Euro-SCORE. This study will indicate how accurately Euro SCORE can predict the risk of mortality after coronary artery bypass grafting in our population and more over it may indicate other patient related variables that can contribute to operative mortality other than Euro SCORE.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Thesis | UVAS Library Thesis Section | Veterinary Science | 2713-T (Browse shelf) | Available | 2713-T |
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Coronary artery bypass surgery has become the standard of care for advanced coronary artery disease. It is one of the most audited and closely monitored operations in the history of surgery. Morbidity and mortality associated with this operation is also very closely monitored by surgeons, hospitals, professional bodies and governments at large. Based on the preoperative clinical information available about patients preparing to undergo coronary artery bypass surgery various predictive models for assessment of mortality risk have been developed over the last two decades in various regions across the world. Euro SCORE is one such predictive model which can accurately predict the risk of mortality for large groups of patients for the population in which it was developed. A large number of Pakistanis and nationals from South East Asian countries reside in different European countries and form part of the population on which this score has been developed and validated. We intend to find out the predictive accuracy of this model in our patients living in Pakistan.
Euro SCORE accurately predicts operative mortality in patients from Pakistani population.
This study will be conducted at the Department of Cardiac Surgery Shalamar Hospital Lahore. One hundred consecutive patients admitted to hospital for coronary artery bypass surgery will be enrolled in study. A total of 18 variables as included in EuroSCORE (Appendix 1) will be collected and entered into database. The expected mortality risk will be calculated by the EuroSCORE Calculator software (http://www.euroscore.org/). Actual or observed mortality and morbidity will also be recorded.
Statistical analysis will be performed using SPSS version16. Continuous numerical data will be presented as mean ± Standard deviation, the Student t test will be used to compare means of normally distributed data. The qualitative data will be analyzed using chi square test. The relationship of the observed and the expected rates of mortality will be assessed using ROC curves for the accuracy of prediction of the Euro-SCORE.
This study will indicate how accurately Euro SCORE can predict the risk of mortality after coronary artery bypass grafting in our population and more over it may indicate other patient related variables that can contribute to operative mortality other than Euro SCORE.
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