Accurate and precise prediction of insulin sensitivity variance in critically ill patients

Pulmonary response prediction through personalized basis functions in a virtual patient model

“…Basis functions have long been proposed to simulate lung mechanics, among other physiological [59][60][61][62] and non-physiological system models, as well as in simple to complex lung mechanics models [40,55,56,58,78]. In this approach, three (3) physiologically relevant basis function sets [42,57,63,64] are studied for elastance evolution prediction within the HLM lung mechanics model [42,63] with a goal of assessing overall best performance relative to potential clinical utility.…”

“…Basis functions have been proposed as a method for targeted biomedical information simulation and prediction [26,41,42,[54][55][56][57][58][59][60][61][62][63][64]. Well-defined, they offer additional, model-based insight into physiological mechanics and responses [26,41,59,[65][66][67][68][69].…”

“…Basis functions have been proposed as a method for targeted biomedical information simulation and prediction [26,41,42,[54][55][56][57][58][59][60][61][62][63][64]. Well-defined, they offer additional, model-based insight into physiological mechanics and responses [26,41,59,[65][66][67][68][69]. The ability of basis functions to model and predict lung elastance and resistance evolution was demonstrated using a linear single compartment lung model, but lacked accuracy in capturing some nonlinear lung mechanics, in both inspiration and expiration [26,55,56,66,70,71].…”

Optimising mechanical ventilation through model-based methods and automation

“…The prediction of potential respiratory mechanics at different MV settings allows more informed decisions to be made ( Morton, Dickson, Chase, Docherty, Desaive, et al., 2018 ). Such model-based approaches have already been used in glycaemic control to improve the safety and efficacy of insulin dosing ( Chase et al., 2007 , Chase et al., 2008 , Evans et al., 2011 , Langdon et al., 2018 , Lin et al., 2007 , Stewart et al., 2016 ). For MV, it allows breath-to-breath monitoring of patient-specific condition and tailoring of PEEP and RMs to meet patient MV needs.…”