Literature DB >> 22515873

A method for partitioning the attributable fraction of multiple time-dependent coexisting risk factors for an adverse health outcome.

Haiqun Lin1, Heather G Allore, Gail McAvay, Mary E Tinetti, Thomas M Gill, Cary P Gross, Terrence E Murphy.   

Abstract

OBJECTIVES: We decomposed the total effect of coexisting diseases on a timed occurrence of an adverse outcome into additive effects from individual diseases.
METHODS: In a cohort of older adults enrolled in the Precipitating Events Project in New Haven County, Connecticut, we assessed a longitudinal extension of the average attributable fraction method (LE-AAF) to estimate the additive and order-free contributions of multiple diseases to the timed occurrence of a health outcome, with right censoring, which may be useful when relationships among diseases are complex. We partitioned the contribution to death into additive LE-AAFs for multiple diseases.
RESULTS: The onset of heart failure and acute episodes of pneumonia during follow-up contributed the most to death, with the overall LE-AAFs equal to 13.0% and 12.1%, respectively. The contribution of preexisting diseases decreased over the years, with a trend of increasing contribution from new onset of diseases.
CONCLUSIONS: LE-AAF can be useful for determining the additive and order-free contribution of individual time-varying diseases to a time-to-event outcome.

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Year:  2012        PMID: 22515873      PMCID: PMC3518339          DOI: 10.2105/AJPH.2011.300458

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


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