Statistical modeling of diabetic neuropathy: Exploring the dynamics of nerve mortality

Diabetic neuropathy is a disorder characterized by impaired nerve function and reduction of the number of epidermal nerve fibers per epidermal surface. Additionally, as neuropathy related nerve fiber loss and regrowth progresses over time, the two‐dimensional spatial arrangement of the nerves become...

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Vydáno v:Statistics in medicine Ročník 42; číslo 23; s. 4128 - 4146
Hlavní autoři: Konstantinou, Konstantinos, Ghorbanpour, Farnaz, Picchini, Umberto, Loavenbruck, Adam, Särkkä, Aila
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Wiley Subscription Services, Inc 15.10.2023
Témata:
Diabetes
Diabetic neuropathy
Endocrinology and Diabetes
Endokrinologi och diabetes
Probability Theory and Statistics
Sannolikhetsteori och statistik
spatial point process
epidermal nerve fibers
dependent thinning
reactive territory
approximate Bayesian computation
ISSN:0277-6715, 1097-0258, 1097-0258
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Shrnutí:Diabetic neuropathy is a disorder characterized by impaired nerve function and reduction of the number of epidermal nerve fibers per epidermal surface. Additionally, as neuropathy related nerve fiber loss and regrowth progresses over time, the two‐dimensional spatial arrangement of the nerves becomes more clustered. These observations suggest that with development of neuropathy, the spatial pattern of diminished skin innervation is defined by a thinning process which remains incompletely characterized. We regard samples obtained from healthy controls and subjects suffering from diabetic neuropathy as realisations of planar point processes consisting of nerve entry points and nerve endings, and propose point process models based on spatial thinning to describe the change as neuropathy advances. Initially, the hypothesis that the nerve removal occurs completely at random is tested using independent random thinning of healthy patterns. Then, a dependent parametric thinning model that favors the removal of isolated nerve trees is proposed. Approximate Bayesian computation is used to infer the distribution of the model parameters, and the goodness‐of‐fit of the models is evaluated using both non‐spatial and spatial summary statistics. Our findings suggest that the nerve mortality process changes as neuropathy advances.
Bibliografie:ObjectType-Article-1
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ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.9851