Model Prediction of Clinical Outcome in Patient with Ischemic Stroke
Introduction: The increasing of life expectancy driven by the success of national development leads to an epidemiological transition to non-communicable diseases (NCDs). The number of morbidity caused by NCD and accidents is expected to increase significantly, and this incidence is related to the in...
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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English English English English |
| Published: |
International Research Organization for Life & Health Sciences
2017
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| Online Access: | https://repository.unair.ac.id/116581/1/9_Peer_Review.pdf https://repository.unair.ac.id/116581/2/9_Artikel.pdf https://repository.unair.ac.id/116581/3/9_Turnitin.pdf https://repository.unair.ac.id/116581/7/9%20Kesesuaian.pdf https://repository.unair.ac.id/116581/ http://ijpphs.com/index.php/ijpphs/index |
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| Institution: | Universitas Airlangga |
| Language: | English English English English |
| Summary: | Introduction: The increasing of life expectancy driven by the success of national development leads to an epidemiological transition to non-communicable diseases (NCDs). The number of morbidity caused by NCD and accidents is expected to increase significantly, and this incidence is related to the increased of risk factors due to lifestyle changes in the community. Stroke is the second leading cause of death worldwide and is a major cause of disability globally. Purpose: The purpose of this study is to develop a model prediction of clinical outcomes in patients with ischemic stroke. Materials and Methods: A case-control study was conducted. A total of 110 patients had been included in the study divided into 55 case groups and 55 control groups. Data analysis was performed using SPSS version 21 software program. Results: The results of the study indicated 10 variables to be continued into multiple logistic regression (P < 0.25), namely: Age (P = 0.163), gender (P = 0.000), history of hypertension (P = 0.038), heart abnormalities (P = 0,039), history of stroke/transient ischemic attack (P = 0.196), blood pressure (P = 0.169), total cholesterol (P = 0.004), triglycerides (P = 0.035), blood glucose level (P = 0.132), and therapeutic time window (P = 0.146). Meanwhile, there were three variables that qualified to be used as a predictors model for clinical outcomes of ischemic stroke in the form of 0.477−0.035*total cholesterol+0.07*triglyceride+0.007* blood glucose levels. Conclusion: This study can be an input in the development of the epidemiological science of NCD, especially stroke. It thus can provide an input on appropriate promotive and preventive measures to reduce the number of disability and death from stroke |
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