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Recent Advances and Future Directions in Extracorporeal Carbon Dioxide Removal.
J Clin Med
December 2024
Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, London SE1 9RT, UK.
Extracorporeal carbon dioxide removal (ECCOR) is an emerging technique designed to reduce carbon dioxide (CO) levels in venous blood while enabling lung-protective ventilation or alleviating the work of breathing. Unlike high-flow extracorporeal membrane oxygenation (ECMO), ECCOR operates at lower blood flows (0.4-1.
View Article and Find Full Text PDFExtracorporeal Shock Waves Therapy for the Treatment of Acute and Chronic Wounds-A Prospective, Monocentric Clinical Trial to Examine the Effect of Shock Waves on Wound Healing.
Health Sci Rep
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Hand Surgery Martin-Luther Hospital (Martin-Luther Krankenhaus) Berlin Germany.
Introduction: The aim of our prospective blinded clinical study was to examine a possible improvement and acceleration of epithelialization by treatment with low-energy extracorporeal shock waves on skin graft donor and recipient sites in patients with chronic wounds. In addition, several secondary parameters were investigated to evaluate the compatibility of the therapeutic method, its influence on infection occurrence and bacterial colonization.
Materials And Methods: A total of 35 patients were included in the study.
Machine Learning for Predicting Primary Graft Dysfunction After Lung Transplantation: An Interpretable Model Study.
Transplantation
January 2025
Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Background: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx) and greatly influences patients' prognosis. This study aimed to establish an accurate machine learning (ML) model for predicting grade 3 PGD (PGD3) after Lung Tx.
Methods: This retrospective study incorporated 802 patients receiving Lung Tx between July 2018 and October 2023 (640 in the derivation cohort and 162 in the external validation cohort), and 640 patients were randomly assigned to training and internal validation cohorts in a 7:3 ratio.
Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.
Crit Care
January 2025
Department of Pediatric, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury in pediatric patients ECMO and identify key variables for future research.
Methods: Data from pediatric patients undergoing ECMO were collected from the Chinese Society of Extracorporeal Life Support (CSECLS) registry database and local hospitals.
[Research progress on prognostic prediction models for patients undergoing extracorporeal membrane oxygenation].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
December 2024
Department of Critical Care Medicine, the Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi Zhuang Autonomous Region, China. Gao Hanming is working on the Department of Critical Care Medicine, the People's Hospital of Cenxi City, Cenxi 543200, Guangxi Zhuang Autonomous Region, China. Corresponding author: Lu Junyu, Email:
Extracorporeal membrane oxygenation (ECMO), as a critical life support technology, has played a significant role in treating patients with refractory respiratory and circulatory failure. In recent years, with the advancements in medical technology, the scope of application of ECMO has been expanding, especially in the fields of acute respiratory distress syndrome, cardiogenic shock and other important roles. However, its high costs, complex operation, and associated risks of complications remain challenges in clinical practice.
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