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A Frailty Index based on clinical data to quantify mortality risk in dogs
Tommaso Banzato, Giovanni Franzo, Roberta Di Maggio, Elisa Nicoletto, Silvia Burti, Matteo Cesari, Marco Canevelli
Scientific Reports · 2019 · ▲ 57 citations
Abstract
Frailty is defined as a decline in an organism's physiological reserves resulting in increased vulnerability to stressors. In humans, a single continuous variable, the so-called Frailty Index (FI), can be obtained by multidimensionally assessing the biological complexity of an ageing organism. Here, we evaluate this variability in dogs and compare it to the data available for humans. In dogs, there was a moderate correlation between age and the FI, and the distribution of the FI increased with age. Deficit accumulation was strongly related to mortality. The effect of age, when combined with the FI, was negligible. No sex-related differences were evident. The FI could be considered in epidemiological studies and/or experimental trials to account for the potential confounding effects of the health status of individual dogs. The age-related deficit accumulation reported in dogs is similar to that demonstrated in humans. Therefore, dogs might represent an excellent model for human aging studies.
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- 10.1038/s41598-019-52585-9
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- 2026-07-25 MST
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APA
Banzato, T., Franzo, G., Maggio, R.D., Nicoletto, E., Burti, S., Cesari, M., & Canevelli, M. (2019). A Frailty Index based on clinical data to quantify mortality risk in dogs. <em>Scientific Reports</em>. https://doi.org/10.1038/s41598-019-52585-9
Vancouver
Banzato T, Franzo G, Maggio RD, Nicoletto E, Burti S, Cesari M, et al. A Frailty Index based on clinical data to quantify mortality risk in dogs. Scientific Reports. 2019. doi:10.1038/s41598-019-52585-9.
BibTeX
@article{tommaso2019AFrail,
title = {A Frailty Index based on clinical data to quantify mortality risk in dogs},
author = {Tommaso Banzato and Giovanni Franzo and Roberta Di Maggio and Elisa Nicoletto and Silvia Burti and Matteo Cesari and Marco Canevelli},
journal = {Scientific Reports},
year = {2019},
doi = {10.1038/s41598-019-52585-9},
}
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