Multi-state Markov model in expressing the outcome of mild cognitive impairment among community-based elderly residents

To introduce the Multi-state Markov model in studying the outcome prediction of mild cognitive impairment (MCI). Based on the intelligence quotient (IQ) changes that reflecting the trends in cognitive function in the patients under follow-up program, we constructed a four states model and used Multi...

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Published inZhōnghuá liúxíngbìng zázhì Vol. 32; no. 1; p. 25
Main Authors Yang, Shan-shan, Zhou, Li-ye, Liang, Rui-feng, Luo, Tian-e, Qu, Cheng-yi, Yu, Hong-mei
Format Journal Article
LanguageChinese
Published China 01.01.2011
Subjects
Aged
Aged, 80 and over
Aging
Cognition Disorders - psychology
Cognitive Dysfunction - diagnosis
Cognitive Dysfunction - psychology
Female
Humans
Intelligence Tests
Male
Markov Chains
Models, Statistical
Prognosis
Risk Factors
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Summary:To introduce the Multi-state Markov model in studying the outcome prediction of mild cognitive impairment (MCI). Based on the intelligence quotient (IQ) changes that reflecting the trends in cognitive function in the patients under follow-up program, we constructed a four states model and used Multi-state Markov model to analyze the patients. Among 600 MCI patients, there were 174 (29.0%) males and 426 (71.0%) females, with age range of 65-90 years-old (average 69.7 ± 6.6). For univariate analysis, gender, age, education level, marital status, smoking, household income, cerebral hemorrhage, hypertension, high cholesterol, diabetes, LDL-C, SBP and DBP were found to be associated with cognitive function. For multivariate analysis, female, older age, cerebral hemorrhage and higher SBP were shown to be the risk factors for transition from the state of cognitive stability to the state of severe deterioration, and their coefficients were 0.762, 0.366, 0.885, and 0.069, respectively. Age (0.038) could influence the
ISSN:0254-6450