Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records.

Objective: The heterogeneity of pediatric sepsis patients suggests the potential benefits of clustering analytics to derive phenotypes with distinct host response patterns that may help guide personalized therapeutics. We evaluate the relative performance of latent class analysis (LCA) and K-means, 2 commonly used clustering methods toward the derivation of clinically useful pediatric sepsis phenotypes.

Methods: Data were extracted from anonymized medical records of 6446 pediatric patients that presented to 1 of 6 emergency departments (EDs) between 2013 and 2018 and were thereafter admitted.

Right Paraduodenal Hernia.

Clinical suspicion is necessary to prevent possible complications and mortality from paraduodenal hernias, a rare cause of small bowel obstruction.