Clinical reasoning in feline epilepsy: Which combination of clinical information is useful?

Stanciu, Gabriela Dumitriţa; Packer, Rowena M. A.; Pákozdy, Ákos; Solcan, G.; Volk, Holger A.

doi:10.1016/j.tvjl.2017.04.001

Cited by 23 publications

(45 citation statements)

References 8 publications

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“…Given that toxicity and metabolic disturbances (reactive seizures) are responsible for many single seizure events, 3,38,39 this situation may account for a proportion of the differences reported between the species. Additionally, recognition of seizures in cats often is complicated by the heterogenous semiology of the condition in this species, 4,13,42,43 such that the true proportion of cats with RSD may be higher than that reported by owners. Furthermore, compared to dogs, many UK cats spend a considerable proportion of their time outdoors, where owners are less likely to witness seizure events.…”

Section: Discussionmentioning

confidence: 99%

“…13 The RSD caseload in our study likely includes several underlying conditions, including neoplastic and vascular disorders that predominantly affect older animals. 9,43 Additionally, although recognized cases of reactive seizures were excluded from our study, some may have remained given that not all including diabetes mellitus in cats (×2.0), 52 lipoma in dogs (×1.78), 53 hyperadrenocorticism in dogs (×4.0), 54 and corneal ulceration in dogs (×1.6). 55 This insurance bias must be considered carefully when generalizing the results of studies that are based entirely on data from insured animals.…”

Section: Discussionmentioning

confidence: 99%

“…A previous referral study in the UK reported that pedigreed cats had 5.68 times the odds of epilepsy compared with nonpedigreed cats. 43 However, unlike the situation in dogs, specific breeds have not yet been linked to epilepsy in cats, and genetic epilepsy only has been reported in study colonies of cats. 11,17,18 A study of audiogenic reflex seizures in cats reported that a large number of affected cats were Birmans.…”

Section: Discussionmentioning

confidence: 99%

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Epidemiology of recurrent seizure disorders and epilepsy in cats under primary veterinary care in the United Kingdom

O'Neill

Phillipps

Egan

et al. 2020

Veterinary Internal Medicne

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Background: Little epidemiological evaluation of recurrent seizure disorders in cats currently exists in veterinary literature. Objectives: To report the prevalence and risk factors for recurrent seizure disorders (RSD) and epilepsy in cats presented to primary care veterinary practices in the United Kingdom (UK). Animals: A total of 285 547 cats under veterinary care during 2013 presenting to 282 primary care clinics in the UK. Methods: Cohort study using multivariable logistic regression modeling for risk factor analysis. Results: There were 458 confirmed RSD cases, giving a 1-year period prevalence of 0.16% (95% confidence interval [CI], 0.15-0.18). A subset of 114 (24.89%) cases was recorded as having epilepsy, giving a 1-year period prevalence of 0.04% (95% CI, 0.03-0.5). Increasing age was significantly associated with increasing odds of RSD. Breed, sex, neuter status, and body weight were not associated with RSD. Epilepsy was most frequently diagnosed in adult to middle-aged cats. Cats aged 3.0 to <6.0 years had 3.32 times higher odds of epilepsy diagnosis compared to cats <3.0 years of age. Insured cats were more likely to be diagnosed with epilepsy compared to noninsured cats. Conclusions and Clinical Importance: Although less common than in dogs, RSD and epilepsy still comprise an important disorder group in the UK cat population. Aging is a significant risk factor for these disorders in cats.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Epidemiology of recurrent seizure disorders and epilepsy in cats under primary veterinary care in the United Kingdom

O'Neill

Phillipps

Egan

et al. 2020

Veterinary Internal Medicne

View full text Add to dashboard Cite

show abstract

“…By considering the signalment, obtaining a thorough clinical history, performing a general physical examination, a complete neurological examination and obtaining a neuroanatomical localisation it is possible to identify key factors that can be vital in clinical decision-making. [9][10][11] It has been identified that most canine spinal diseases are statistically associated with distinct characteristic combinations of clinical variables. 9 However, it is currently unknown if such a statistical model could also be used to guide a clinical reasoning approach in feline spinal disease.…”

Section: Introductionmentioning

confidence: 99%

Clinical reasoning in feline spinal disease: which combination of clinical information is useful?

Mella

Cardy

Volk

et al. 2019

Journal of Feline Medicine and Surgery

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Objectives The aim of this study was to evaluate if a combination of discrete clinical characteristics can be used to identify the most likely differential diagnoses in cats with spinal disease. Methods Two hundred and twenty-one cats referred for further evaluation of spinal disease were included and categorised as follows: non-lymphoid neoplasia (n = 44); intervertebral disc disease (n = 42); fracture/luxation (n = 34); ischaemic myelopathy (n = 22); feline infectious peritonitis virus myelitis (n = 18); lymphoma (n = 16); thoracic vertebral canal stenosis (n = 11); acute non-compressive nucleus pulposus extrusion (n = 11); traumatic spinal cord contusion (n = 8); spinal arachnoid diverticula (n = 7); lumbosacral stenosis (n = 5); and spinal empyema (n = 3). Information retrieved from the medical records included signalment, clinical history and clinical presentation. Univariate analyses of variables (clinical history, breed, age, sex, general physical examination findings, onset, progression, spinal hyperaesthesia, asymmetry, ambulatory status and neuroanatomical location) were performed, and variables were retained in a multivariate logistic regression model if P <0.05. Results Multivariate logistic regression revealed that intervertebral disc disease most often occurred in middle-aged, purebred cats with a normal general physical examination and an acute onset of painful and progressive clinical signs. Ischaemic myelopathy occurred most often in older cats with a stable or improving, non-painful, lateralising, C6–T2 myelopathy. Spinal fracture/luxation occurred most often in younger cats and resulted most often in a peracute onset, painful, non-ambulatory neurological status. Concurrent systemic abnormalities or abnormal findings detected on general physical examination were significantly associated with feline infectious peritonitis virus myelitis, spinal lymphoma or spinal empyema. Conclusions and relevance This study suggests that using easily identifiable characteristics from the history and clinical examination can assist in obtaining a preliminary differential diagnosis when evaluating cats with spinal disease. This information could aid veterinary practitioners in clinical decision-making.

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“…Serum cystatin C levels may be a novel possible biomarker of AD in CKD people. Additionally, proteinuria and eGFR are recognized as common indicators for renal function [ 145 , 146 ] are closely associated to a cognitive decline [ 25 , 36 ].…”

Section: The Relationship Between Biomarkers Related To Alzheimer’mentioning

confidence: 99%

Renal Contributions in the Pathophysiology and Neuropathological Substrates Shared by Chronic Kidney Disease and Alzheimer’s Disease

et al. 2020

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Chronic kidney disease and Alzheimer’s disease are chronic conditions highly prevalent in elderly communities and societies, and a diagnosis of them is devastating and life changing. Demanding therapies and changes, such as non-compliance, cognitive impairment, and non-cognitive anomalies, may lead to supplementary symptoms and subsequent worsening of well-being and quality of life, impacting the socio-economic status of both patient and family. In recent decades, additional hypotheses have attempted to clarify the connection between these two diseases, multifactorial in their nature, but even so, the mechanisms behind this link are still elusive. In this paper, we sought to highlight the current understanding of the mechanisms for cognitive decline in patients with these concurrent pathologies and provide insight into the relationship between markers related to these disease entities and whether the potential biomarkers for renal function may be used for the diagnosis of Alzheimer’s disease. Exploring detailed knowledge of etiologies, heterogeneity of risk factors, and neuropathological processes associated with these conditions opens opportunities for the development of new therapies and biomarkers to delay or slow their progression and validation of whether the setting of chronic kidney disease could be a potential determinant for cognitive damage in Alzheimer’s disease.

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Clinical reasoning in feline epilepsy: Which combination of clinical information is useful?

Cited by 23 publications

References 8 publications

Epidemiology of recurrent seizure disorders and epilepsy in cats under primary veterinary care in the United Kingdom

Epidemiology of recurrent seizure disorders and epilepsy in cats under primary veterinary care in the United Kingdom

Clinical reasoning in feline spinal disease: which combination of clinical information is useful?

Renal Contributions in the Pathophysiology and Neuropathological Substrates Shared by Chronic Kidney Disease and Alzheimer’s Disease

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