Factors that Impact on Interrater Reliability of the Mouse Clinical Frailty Index

Kane, Alice E.; Hilmer, Sarah N.; Huizer-Pajkos, Aniko; Mach, John; Nines, Dawn; Boyer, Dawn; Gavin, Kristan; Mitchell, Sarah J.; Cabo, Rafael de

doi:10.1093/gerona/glv032

Cited by 19 publications

(20 citation statements)

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“…The current study also only used one assessor for the FI, which ensures the data is consistent across individual rats and time points. However, it would be interesting in future studies to look at the inter-rater reliability of the rat clinical FI, as has been done for the mouse clinical FI ( 23 , 38 ). The current study looks at the relationship between rat FI and mortality.…”

Section: Discussionmentioning

confidence: 99%

Development of a Rat Clinical Frailty Index

Yorke¹,

Kane²,

Friesen

et al. 2017

The Journals of Gerontology: Series A

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Rats are a commonly used model for aging studies, and a frailty assessment tool for rats would be of considerable value. There has been a recent focus on the development of preclinical models of frailty in mice. A mouse clinical frailty index (FI) was developed based on clinical frailty assessment tools. This FI measures the accumulation of clinically evident health-related deficits in mice. This paper aimed to develop a rat clinical FI. Male Fischer 344 rats were aged from 6 to 9 months (n = 12), and from 13 to 21 months (n = 41). A FI comprised of 27 health-related deficits was developed from a review of the literature and consultation with a veterinarian. Deficits were scored 0 if absent, 0.5 if mild, or 1 if severe. A FI score was determined for each rat every 3–4 months, and for the older group mortality was assessed up to 21 months. Mean FI scores significantly increased at each time point for the older rats. A high FI score measured at both 17 months of age and terminally was also associated with decreased probability of survival as assessed with Kaplan–Meier curves. The rat clinical FI has significant value for use in aging and interventional studies.

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Section: Discussionmentioning

confidence: 99%

Development of a Rat Clinical Frailty Index

Yorke¹,

Kane²,

Friesen

et al. 2017

The Journals of Gerontology: Series A

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“…Although the specific experience of the observer with the mouse clinical FI does not influence FI scores, Kane et al (2015) have shown that the professional background or training of the observer does appear to affect scoring. They assessed the inter-rater reliability of four raters assessing 74 C57BL/6 mice (19.0 ± 1.0 months) for frailty with the mouse clinical FI.…”

Section: R a F Tmentioning

confidence: 88%

“…These refinements to the deficit descriptors may improve the inter-rater reliability for future users of the mouse clinical FI. Kane et al (2015) also investigated the inter-rater reliability of the mouse clinical FI.…”

Section: Inter-rater Reliability Of Mouse Clinical Fimentioning

confidence: 99%

“…The highest level of agreement was seen between the two scientist researchers. Based on these observations, Kane et al (2015) recommend that care be taken in selecting raters for the index, especially if the results are to be compared across raters. It is important to note that the present study, and prior studies exploring inter-rater reliability of the mouse clinical FI (Feridooni et al 2015), used research scientists as raters.…”

Section: R a F Tmentioning

confidence: 99%

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Implementation of the mouse frailty index

Kane

Ayaz

Ghimire

et al. 2017

Can. J. Physiol. Pharmacol.

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Frailty is considered a state of high vulnerability for adverse health outcomes for people of the same age. Those who are frail have higher mortality, worse health outcomes, and use more health care services than those who are not frail. Despite this, little is known about the biology of frailty, the effect of frailty on pharmacological or surgical outcomes, and potential interventions to attenuate frailty. In humans, frailty can be quantified using a frailty index (FI) based on the principle of deficit accumulation. The recent development of an FI in naturally ageing mice provides an opportunity to conduct frailty research in a validated preclinical model. The mouse FI has been successfully used across a wide range of applications; however, there are some factors that should be considered in implementing this tool. This review summarises the current literature, presents some original data, and suggests areas for future research on the current applications of the mouse FI, inter-rater reliability of the FI, the effect of observer characteristics and environmental factors on mouse FI scores, and the individual items that make up the FI assessment. The implementation of this tool into preclinical frailty research should greatly accelerate translational research in this important field.

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“…We identified, however, poor inter-rater reliability (ICC =0.201–0.489) between raters of different professional backgrounds but excellent inter-rater reliability (ICC =0.88) between raters of the same background. We identify that care should be taken in the selection of raters for this assessment 32. Taken together, these data suggest that the mouse FI is a reliable, convenient, and fast assessment tool that has great value as a pre-clinical model of frailty.…”

Section: Animal Models Of Frailtymentioning

confidence: 88%

Animal models of frailty: current applications in clinical research

Kane¹,

Hilmer²,

Mach³

et al. 2016

CIA

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The ethical, logistical, and biological complications of working with an older population of people inherently limits clinical studies of frailty. The recent development of animal models of frailty, and tools for assessing frailty in animal models provides an invaluable opportunity for frailty research. This review summarizes currently published animal models of frailty including the interleukin-10 knock-out mouse, the mouse frailty phenotype assessment tool, and the mouse clinical frailty index. It discusses both current and potential roles of these models in research into mechanisms of frailty, interventions to prevent/delay frailty, and the effect of frailty on outcomes. Finally, this review discusses some of the challenges and opportunities of translating research findings from animals to humans.

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Factors that Impact on Interrater Reliability of the Mouse Clinical Frailty Index

Cited by 19 publications

References 1 publication

Development of a Rat Clinical Frailty Index

Development of a Rat Clinical Frailty Index

Implementation of the mouse frailty index

Animal models of frailty: current applications in clinical research

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