Prognostic factors of first-ever stroke patients in suburban Malaysia by comparing regression models
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Nadiah Wan-Arfah 1 , Mustapha Muzaimi 2 , Nyi Nyi Naing 3 * , Vetriselvan Subramaniyan 4 5 , Ling Shing Wong 6 * , Siddharthan Selvaraj 7 8
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1 Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu, MALAYSIA2 Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, MALAYSIA3 Faculty of Medicine, Medical Campus, Universiti Sultan Zainal Abidin, Jalan Sultan Mahmud, Kuala Terengganu, Terengganu, MALAYSIA4 Pharmacology Unit, Jeffrey Cheah School of Medicine and Health Sciences, Monash University, Jalan Lagoon Selatan, Bandar Sunway, 47500 Selangor Darul Ehsan, MALAYSIA5 Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, 600077, INDIA6 Faculty of Health and Life Sciences, INTI International University, Nilai, Negeri Sembilan, MALAYSIA7 Faculty of Dentistry, AIMST University, Bedong, Kedah, MALAYSIA8 Centre for Global Health Research, Saveetha Medical College and Hospital, Saveetha University, Chennai, Tamil Nadu, INDIA* Corresponding Author

Abstract

Introduction: The aim of this study was to compare regression models based on the parameter estimates of prognostic factors of mortality in first-ever stroke patients.
Methods: A retrospective study among 432 first-ever stroke patients admitted to Hospital Universiti Sains Malaysia, Kelantan, Malaysia, was carried out. Patient’s medical records were extracted using a standardized data collection sheet. The statistical analyses used for modelling the prognostic factors of mortality were Cox proportional hazards regression, multinomial logistic regression, and multiple logistic regression.
Results: A total of 101 (23.4%) events of death were identified and 331 patients (76.6%) were alive. Despite using three different statistical analyses, the results were very similar in terms of five major aspects of parameter estimates, namely direction, estimation, precision, significance, and magnitude of risk assessment. It was reported slightly better in Cox proportional hazards regression model, especially in terms of the precision of the results.
Conclusions: Given that this study had compared the findings from three different types of advanced statistical methods, this research has clearly yielded that with data of high quality, the selection of appropriate statistical method should not be a worrisome problem for researchers who may not be of expertise in the field of medical statistics.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, Volume 20, Issue 6, December 2023, Article No: em545

https://doi.org/10.29333/ejgm/13717

Publication date: 01 Nov 2023

Online publication date: 24 Sep 2023

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Article Downloads: 765

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