Comorbidity of dementia: a cross-sectional study of primary care older patients

BMC Psychiatry

Alexandra Prados-Torres¹  Michael Soljak⁴  Antoni Sicras-Mainar²  Jorge Hancco-Saavedra⁵  Javier Marta-Moreno³  Amaia Calderón-Larrañaga¹  Beatriz Poblador-Plou⁵ 

[1]Department of Microbiology, Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain

[2]Planning Management, Badalona Serveis Assistencials S.A, Badalona, Spain

[3]Miguel Servet University Hospital Department of Neurology, Zaragoza, Spain

[4]Department of Primary Care & Public Health, Imperial College London, London, UK

[5]Teaching Unit of Preventive Medicine and Public Health, Aragón Health Sciences Institute (IACS), IIS Aragón, Zaragoza, Spain

关键词: Electronic health records;    Primary care;    Factor analysis;    Comorbidity;    Dementia;   

Others  :  1123693
DOI  :  10.1186/1471-244X-14-84

 received in 2013-04-02, accepted in 2014-03-04,  发布年份 2014

【 摘 要 】

Background

The epidemiologic study of comorbidities of an index health problem represents a methodological challenge. This study cross-sectionally describes and analyzes the comorbidities associated with dementia in older patients and reviews the existing similarities and differences between identified comorbid diseases using the statistical methods most frequently applied in current research.

Methods

Cross-sectional study of 72,815 patients over 64 seen in 19 Spanish primary care centers during 2008. Chronic diseases were extracted from electronic health records and grouped into Expanded Diagnostic Clusters®. Three different statistical methods were applied (i.e., analysis of prevalence data, multiple regression and factor analysis), stratifying by sex.

Results

The two most frequent comorbidities both for men and women with dementia were hypertension and diabetes. Yet, logistic regression and factor analysis demonstrated that the comorbidities significantly associated with dementia were Parkinson’s disease, congestive heart failure, cerebrovascular disease, anemia, cardiac arrhythmia, chronic skin ulcers, osteoporosis, thyroid disease, retinal disorders, prostatic hypertrophy, insomnia and anxiety and neurosis.

Conclusions

The analysis of the comorbidities associated with an index disease (e.g., dementia) must not be exclusively based on prevalence rates, but rather on methodologies that allow the discovery of non-random associations between diseases. A deep and reliable knowledge about how different diseases are grouped and associated around an index disease such as dementia may orient future longitudinal studies aimed at unraveling causal associations.

【 授权许可】

   
2014 Poblador-Plou et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

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