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Diabetes alert dogs: a narrative critical overview
Giuseppe Lippi1, Mario Plebani2
1Section of Clinical Biochemistry, University Hospital of Verona, Piazzale LA Scuro, 37134 Verona, Italy.
Clinical Chemistry and Laboratory Medicine
|September 30, 2018
Summary
Diabetes alerting dogs (DADs) show variable effectiveness in warning owners about blood glucose changes. Addressing limitations in training, variability, and assessment is key to improving their role in diabetes management.
Area of Science:
- Veterinary Medicine
- Endocrinology
- Animal Behavior
Background:
- Dogs possess exceptional olfactory capabilities and a strong bond with humans, leading to diverse assistance roles.
- Beyond traditional uses, dogs are increasingly employed in detection tasks, including volatile organic compounds and medical conditions.
- Recent focus highlights dogs' potential in detecting blood glucose variations in individuals with diabetes.
Purpose of the Study:
- To evaluate the efficacy and limitations of diabetes alerting dogs (DADs) in managing blood glucose levels.
- To review the current scientific literature on DADs' performance in detecting hypoglycemia and hyperglycemia.
Main Methods:
- Systematic review of scientific literature on diabetes alerting dogs.
- Analysis of reported sensitivities and specificities for DADs in detecting hypo- and hyperglycemia.
Main Results:
- Diabetes alerting dogs exhibit heterogeneous efficiency, with reported sensitivities ranging from 0.29-0.80 and specificities from 0.49-0.96.
- While DADs can improve the quality of life for diabetic patients, significant drawbacks exist.
- Limitations include high costs, lack of provider accreditation, inconsistent training, high variability among dogs, and challenges in owner recognition of alerts.
Conclusions:
- Diabetes alerting dogs show promise but require standardized training and quality assessment to overcome current limitations.
- Addressing variability in breed, training, and alert behaviors is crucial for enhancing DAD effectiveness.
- Further research and standardization are needed to optimize DADs as reliable tools for diabetes management.
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