Peer-reviewed veterinary case report
Smart litter box helps detect chronic kidney disease in cats
By Natalie Langenfeld-McCoy et al.·Published in Animals·2026·Nestlé Purina Research, Checkerboard Square, St. Louis, MO 63164, USA, CH·View original on DOAJ →
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Original publication title: Enhancing Detection of Feline Chronic Kidney Disease Through Smart Litter Box Monitoring
- Species:
- cat
Plain-English summary
A smart litter box monitor was tested to help cat owners detect chronic kidney disease (CKD) in their cats earlier. The monitor tracked how often cats urinated, how long they took to eliminate, and whether they covered their waste afterward. Cats with CKD showed unique behaviors, such as urinating more frequently and taking longer to eliminate. The technology proved to be very accurate in predicting CKD, which could help owners notice problems sooner and seek veterinary care.
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Abstract
Chronic kidney disease (CKD) is a prevalent condition in cats and recognized as a leading cause of mortality among cats generally, yet it is difficult to detect by cat caregivers, especially in its early stages. This retrospective study aimed to enhance detection of CKD by cat caregivers through a smart litter box monitor technology that tracks feline elimination behaviors. We established cohorts of cats with CKD and cats with no known conditions and analyzed behavioral features captured by the monitor. A mixed-effects model identified significant differences, which were then integrated into a machine learning framework for predictive modeling. The model achieved a weighted F1-score of 92.7% in training using cross-validation and 89.9% in validation, demonstrating high precision for CKD predictions. Key findings included a behavioral profile unique to cats with CKD characterized by increased urination frequency, longer elimination durations, and reduced post-elimination covering behavior. These results suggest that the smart litter box monitor can provide valuable, continuous, and non-invasive data for CKD detection and management.
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Search related cases →Original publication on DOAJ: https://doi.org/10.3390/ani16091319