Burns : journal of the International Society for Burn Injuries
-
Review Retraction Of Publication
Early enteral nutrition versus late enteral nutrition for burns patients: A systematic review and meta-analysis.
This article has been withdrawn at the request of the authors. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
-
Puerarin, the main isoflavone glycoside extracted from the root of Pueraria lobata, is widely prescribed for patients with cardiovascular disorders in China. This study investigates the effect of puerarin on severe burn-induced acute myocardial injury in rats and its underlying mechanisms. ⋯ These results suggest that puerarin attenuates inflammatory responses, reduces neutrophil infiltration and oxidative stress in the heart, and protects against acute myocardial injury induced by severe burn.
-
To attenuate burn-induced catabolism, patients are often enrolled in a resistance exercise program as part of their physical rehabilitation. This study assessed how lower body burn locations affected strength and cardiopulmonary function. ⋯ Physical function and performance are detrimentally affected by burns that traverse specific lower body joints. The most significant relationship on exercise performance was that of hip joint burns as it affected both strength and cardiopulmonary measurements. Ultimately, burns at hip and toe joints need to be considered when interpreting exercise test results involving the lower body.
-
To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to examine the features and impact of applications in targeting various aspects of burn care and research. ⋯ A common feature base may be determined for ML in burn care/research, but the impact of ML will require further validation in prospective observational studies and randomized clinical trials, establishment of common performance metrics, and high quality evidence about clinical and economic impacts. Only then can ML applications be advanced and accepted widely in burn care/research.