Modeling the Number of Attacks in Multiple Sclerosis Patients Using Zero-Inflated Negative Binomial Model

Background and aims: Multiple sclerosis (MS) is an inflammatory disease of the central nervous system. The impact of the number of attacks on the disease is undeniable. The aim of this study was to analyze the number of attacks in these patients. Methods: In this descriptive-analytical study, the re...

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Main Authors: Marjan Jamalian (Author), Vahid Shaygannejad (Author), Morteza Sedehi (Author), Soleiman Kheiri (Author)
Format: Book
Published: Shahrekord University of Medical Sciences, 2020-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Marjan Jamalian  |e author 
700 1 0 |a Vahid Shaygannejad  |e author 
700 1 0 |a Morteza Sedehi  |e author 
700 1 0 |a Soleiman Kheiri  |e author 
245 0 0 |a Modeling the Number of Attacks in Multiple Sclerosis Patients Using Zero-Inflated Negative Binomial Model 
260 |b Shahrekord University of Medical Sciences,   |c 2020-01-01T00:00:00Z. 
500 |a 2383-4366 
500 |a 10.34172/ijer.2020.03 
520 |a Background and aims: Multiple sclerosis (MS) is an inflammatory disease of the central nervous system. The impact of the number of attacks on the disease is undeniable. The aim of this study was to analyze the number of attacks in these patients. Methods: In this descriptive-analytical study, the registered data of 1840 MS patients referred to the MS clinic of Ayatollah Kashani hospital in Isfahan were used. The number of attacks during the treatment period was defined as the response variable, age at diagnosis, sex, employment, level of education, marital status, family history, course of disease, and expanded disability as the explanatory variables. The analysis was performed using zero-inflated negative binomial model via Bayesian framework in OpenBUGS software. Results: Age at diagnosis (CI: -0.04, -0.20), marital status (CI: -0.56, 0.002), level of education (CI: -0.81, -0.26), Job (CIHousewives vs Employee=[0.04, 0.64], CIUnemployee vs Employee=[-1.10,0.008])), and course of disease (CI: -0.51, -0.08) had a significant effect on the number of attacks. In relapsing-remitting patients, the number of attacks was partial significantly affected by expanded disability status scale (EDSS) (CI: -0.019, 0.16). Conclusion: Aging, being single (never married), high education, and not having a job decrease the number of attacks; therefore, lower age, being married, primary education, and being a housewife increase the number of attacks. An interventional or educational program is suggested in order to prevent the occurrence of further attacks in high-risk groups of patients and to increase their chances of recovery. 
546 |a EN 
690 |a multiple sclerosis 
690 |a attack 
690 |a negative binomial 
690 |a zero-inflated 
690 |a markov chain monte carlo 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
690 |a Infectious and parasitic diseases 
690 |a RC109-216 
655 7 |a article  |2 local 
786 0 |n International Journal of Epidemiologic Research, Vol 7, Iss 1, Pp 12-17 (2020) 
787 0 |n http://ijer.skums.ac.ir/article_37696_ad82280040bee400c887b341d67675bc.pdf 
787 0 |n https://doaj.org/toc/2383-4366 
856 4 1 |u https://doaj.org/article/cfd75b8120ea40768f2efebdc96d892f  |z Connect to this object online.