| Titre : | A Method for Partitioning the Attributable Fraction of Multiple Time-Dependent Coexisting Risk Factors for an Adverse Health Outcome. (2013) |
| Auteurs : | . HAIQUN LIN ; Heather-G ALLORE ; Thomas-M GILL ; Cary-P Gross ; Gail MCAVAY ; Terrence-E MURPHY ; Mary-E TINETTI |
| Type de document : | Article |
| Dans : | American journal of public health (vol. 103, n° 1, 2013) |
| Pagination : | 177-182 |
| Langues: | Anglais |
| Mots-clés : | Méthode ; Méthodologie ; Facteur risque ; Complication ; Pronostic |
| Résumé : | [BDSP. Notice produite par INIST-CNRS HR0xn8Cp. Diffusion soumise à autorisation]. 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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