An aerosol inhalation monitor would improve the accuracy of checklist assessment in drug inhalation techniques.

BACKGROUND: Checklists are usually employed to assess the inhalation techniques in patients, but partial techniques are difficult to evaluate visually. This study aimed to assess the checklist validity and an agreement between checklists and an aerosol inhalation monitor (AIM) assessments. METHODS: This study used a checklist and an AIM to evaluate the participants' inhalation techniques with a pressurized metered-dose inhaler (MDI) and two dry powder inhalers (DPIs). The kappa (κ) coefficient, prevalence-adjusted and bias-adjusted κ (PABAK), sensitivity, specificity, positive predictive value, and negative predictive value were all calculated to determine the agreement between the checklist and AIM in an MDI and DPIs with different inhalation technique steps. RESULTS: The checklist and AIM exhibited poor agreement in the MDI for actuation and inhalation time, and a moderate agreement for inspiratory flow. The fair agreement was observed in DPIs for inspiratory flow between the checklist and AIM. The steps of holding breath in MDI and DPIs were highly correlated between both assessments. The lowest accuracy evaluated with an AIM was found in the step of actuation and inhalation time in the MDI and in the inspiratory flow step in DPIs. CONCLUSION: The checklist tended to overestimate the accuracy of critical techniques including the actuation and inhalation time in MDIs and the inspiratory flow in DPIs. Thus, the AIM device can be used as an objective auxiliary tool to assess and quantify the specific steps of inhalation technique for the users with MDI and DPIs.

The identification and clustering analysis of auditory neurons for salicylated-induced rat model.

Salicylate-induced rat model is one of the animal models for tinnitus study. In this study, a radial basis function neural network for automatic identification is firstly developed due to its features of easy training and learning. From the experimental results, the recognition rate is demonstrated to be as high as 98%. Not only the recognition rate is improved, but also it is very objective in analysis. Secondly, a support vector clustering is applied to neurons distribution analysis. Based on the clustering analysis, it is found that the cluster number and distribution area for the Salicylated-induced fos-labeled neurons are very different from those of controlled group.