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Treating deep sternal wound infection with pectoralis major flap transposition: a systemic factor analysis of efficacy and safety.
J Thorac Dis
November 2024
Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Article Synopsis
- - Deep sternal wound infection (DSWI) is a serious complication after cardiac surgery, and while various treatments exist, many have limitations; thus, the study explores pectoralis major flap transposition (PMFT) as a potential effective method.
- - A study of 785 DSWI patients treated with PMFT found that 90.3% healed successfully, while 9.7% experienced delayed healing or death; additional risk factors for poorer outcomes included diabetes, obesity, and a history of smoking.
- - The results suggest that PMFT is a safe treatment option for DSWI, but patients with specific risk factors should be monitored closely, and further research is recommended to better understand these relationships.
The Role of Dapagliflozin in the Modulation of Hypothermia and Renal Injury Caused by Septic Shock in Euglycemic and Hyperglycemic Rat Models.
Curr Mol Pharmacol
December 2024
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Background: Recent research has validated the efficacy of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in reducing glucose levels and exerting a nephroprotective role.
Objective: This study aimed to examine the impact of dapagliflozin in preventing sepsis-induced acute kidney injury (AKI) and related consequences. The study used both normal and diabetic rat models to investigate whether the effectiveness of dapagliflozin is influenced by glycemia levels.
Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.
Ann Neurol
December 2024
Program in Neuroscience and Mental Health, SickKids Research Institute, Toronto, Canada.
Article Synopsis
- Neonatal hypoxic-ischemic encephalopathy is a severe brain condition in infants, often leading to death or developmental issues, and MRI is used for prognosis, but with high variability in predictions.
- Researchers developed an automated method to analyze MRI data from 286 infants, incorporating anatomical templates and advanced measurements to enhance outcome predictions.
- The study found that MRI-based analysis could predict neurodevelopmental outcomes more accurately than traditional demographic and lab data alone, indicating that machine learning can significantly improve prognosis for affected infants.
Predictors of Death or Severe Impairment in Neonates With Hypoxic-Ischemic Encephalopathy.
JAMA Netw Open
December 2024
Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco.
Importance: Outcomes after hypoxic-ischemic encephalopathy (HIE) are variable. Predicting death or severe neurodevelopmental impairment (NDI) in affected neonates is crucial for guiding management and parent communication.
Objective: To predict death or severe NDI in neonates who receive hypothermia for HIE.
Impact of sedation depth on neurological outcome in post-cardiac arrest patients - A retrospective cohort study.
Resuscitation
December 2024
Department of Cardiology and Angiology, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Germany. Electronic address:
Article Synopsis
- The study investigates whether different sedation depths during targeted temperature management (TTM) can affect neurological outcomes in post-cardiac arrest patients.
- It analyzed data from a medical ICU over several years, comparing patients sedated to a RASS-target of -5 versus -4, focusing on favorable neurological outcomes defined as a Cerebral Performance Category (CPC) score of 1 or 2.
- The results suggest that lighter sedation (RASS-target -4) is linked to better neurological outcomes and 30-day survival rates compared to deeper sedation (RASS-target -5), indicating a need for further research in this area.
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