Novel perioperative prediction models were developed using comprehensive preoperative and early postoperative variables.
Postoperative models incorporating procedure duration, oxygenation ratios, and vasopressor dosage show superior accuracy for AKI and renal replacement therapy (RRT) prediction.
These models may guide early risk stratification and targeted interventions to mitigate renal complications after lung transplantation.
Study Background
MedXY registered readers
Sign in free to continue reading
Create or use your MedXY account to unlock the complete article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
