Comput Methods Programs Biomed - Prediction of postprandial blood glucose under uncertainty and intra-patient variability in type 1 diabetes: a comparative study of three interval models.

Tópicos

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Resumo

The behavior of three insulin action and glucose kinetics models was assessed for an insulin therapy regime in the presence of patient variability. For this purpose, postprandial glucose in patients with type 1 diabetes was predicted by considering intra- and inter-patient variability using modal interval analysis. Equations to achieve optimal prediction are presented for models 1, 2 and 3, which are of increasing complexity. The model parameters were adjusted to reflect the "same" patient in the presence of variability. The glucose response envelope for model 1, the simplest insulin-glucose model assessed, included the responses of the other two models when a good fit of the model parameters was achieved. Thus, under variability, simple glucose-insulin models may be sufficient to describe patient dynamics in most situations.

Resumo Limpo

behavior three insulin action glucos kinet model assess insulin therapi regim presenc patient variabl purpos postprandi glucos patient type diabet predict consid intra interpati variabl use modal interv analysi equat achiev optim predict present model increas complex model paramet adjust reflect patient presenc variabl glucos respons envelop model simplest insulinglucos model assess includ respons two model good fit model paramet achiev thus variabl simpl glucoseinsulin model may suffici describ patient dynam situat

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