A new prediction model for infected pancreatic necrosis (IPN) in patients with acute pancreatitis (AP) offers a groundbreaking approach to improving patient outcomes. Developed by a team of researchers across eight Chinese hospitals, the model harnesses five early clinical indicators—respiratory rate, temperature, serum glucose, calcium, and blood urea nitrogen (BUN)—to identify high-risk patients within 24 hours of hospital admission.
Early detection model for pancreatic necrosis improves patient outcomes
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