Background: Point-of-care ultrasonography can estimate gastric contents and volume to assess the risk of pulmonary aspiration; however, its use in infants has not been well validated. We aimed to develop a predictive model for estimating gastric fluid volume using ultrasonography in infants.
Methods: This prospective observational study enrolled 200 infants (≤12 months) undergoing general anaesthesia. After anaesthetic induction, while preserving spontaneous respiration, we measured gastric antral cross-sectional area using ultrasonography in both the supine and right lateral decubitus positions. We then suctioned the gastric content and measured its volume. The primary outcome was development of a gastric fluid volume prediction model with multiple regression analysis. Agreement between the predicted volume and the suctioned volume was evaluated using a Bland-Altman plot.
Results: Overall, 192 infants were included in the final analysis. Pearson correlation analysis showed that the gastric antral cross-sectional area in the supine (P<0.001; correlation coefficient: 0.667) and right lateral decubitus (P<0.001; correlation coefficient: 0.845) positions and qualitative antral grade (P<0.001; correlation coefficient: 0.581) correlated with suctioned volume. We developed a predictive model: predicted volume (ml)=-3.7+6.5 × (right lateral decubitus cross-sectional area [cm])-3.9 (supine cross-sectional area [cm])+1.7 × grade (P<0.01). When comparing the predicted volume and suctioned volume, the mean bias was 0.01 ml kg and the limit of agreement was -0.58 to 0.62 ml kg.
Conclusions: Gastric fluid volume can be estimated using a predictive model based on ultrasonography data in infants.
Clinical Trial Registration: NCT03155776.
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http://dx.doi.org/10.1016/j.bja.2021.03.039 | DOI Listing |
Aim: Human carbonic anhydrases (hCAs) are involved in many physiological processes including respiration, pH control, ion transport, bone resorption, and gastric fluid secretion. Recently, CA IX and CA XII have been studied for their role in cancer diseases, motivating the design of inhibitors of these isoforms.
Material And Method: Here, we used the tail approach to design a new series of monoaryl () and bicyclic () benzensulfonamide derivatives CA IX and CA XII inhibitors.
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