Comput Math Methods Med - A patient-specific airway branching model for mechanically ventilated patients.

Tópicos

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Resumo

CKGROUND: Respiratory mechanics models have the potential to guide mechanical ventilation. Airway branching models (ABMs) were developed from classical fluid mechanics models but do not provide accurate models of in vivo behaviour. Hence, the ABM was improved to include patient-specific parameters and better model observed behaviour (ABMps).METHODS: The airway pressure drop of the ABMps was compared with the well-accepted dynostatic algorithm (DSA) in patients diagnosed with acute respiratory distress syndrome (ARDS). A scaling factor (a) was used to equate the area under the pressure curve (AUC) from the ABMps to the AUC of the DSA and was linked to patient state.RESULTS: The ABMps recorded a median a value of 0.58 (IQR: 0.54-0.63; range: 0.45-0.66) for these ARDS patients. Significantly lower a values were found for individuals with chronic obstructive pulmonary disease (P < 0.001).CONCLUSION: The ABMps model allows the estimation of airway pressure drop at each bronchial generation with patient-specific physiological measurements and can be generated from data measured at the bedside. The distribution of patient-specific a values indicates that the overall ABM can be readily improved to better match observed data and capture patient condition.

Resumo Limpo

ckground respiratori mechan model potenti guid mechan ventil airway branch model abm develop classic fluid mechan model provid accur model vivo behaviour henc abm improv includ patientspecif paramet better model observ behaviour abmpsmethod airway pressur drop abmp compar wellaccept dynostat algorithm dsa patient diagnos acut respiratori distress syndrom ard scale factor use equat area pressur curv auc abmp auc dsa link patient stateresult abmp record median valu iqr rang ard patient signific lower valu found individu chronic obstruct pulmonari diseas p conclus abmp model allow estim airway pressur drop bronchial generat patientspecif physiolog measur can generat data measur bedsid distribut patientspecif valu indic overal abm can readili improv better match observ data captur patient condit

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