Sepsis, October 5 edition

This retrospective multicenter cohort evaluated the Epic Pediatric Sepsis Early Detection Model across 166,943 pediatric emergency department encounters, including 189 sepsis cases. Sensitivity for sepsis was only 36%, positive predictive value was 3%, and sensitivity before Phoenix sepsis criteria were met was 30%. Performance was worse in Black children, children younger than 5 years, and nontertiary settings.

Impact: The study provides an independent, large-scale evaluation of a commercially deployed sepsis alert and demonstrates that implementation does not guarantee clinically useful early detection. The observed subgroup disparities also identify an important patient-safety and health-equity concern.

Clinical Implications: Hospitals should not assume that the PESM alert reliably rules in or detects pediatric sepsis early. Local validation, prospective monitoring, subgroup-specific performance assessment, and complementary clinician-led evaluation are needed before using the alert to guide escalation or reassure clinicians that sepsis is unlikely.

Future Directions: Prospective multicenter evaluations should compare alternative pediatric sepsis algorithms, assess calibration across demographic groups, investigate causes of low sensitivity, and test whether revised or ensemble systems improve outcomes without increasing unnecessary treatment.

In 169 solid organ transplant recipients with Gram-negative bacteremia, 45 experienced septic shock or death. A model combining clinical variables with two principal components derived from 27 immune mediators improved discrimination compared with the clinical model alone, increasing the area under the curve from 0.70 to 0.84. Distinct inflammatory and adaptive immune patterns were associated with adverse and favorable outcomes, respectively.

Impact: The study links measurable host immune states to clinically important outcomes in a high-risk population and demonstrates added predictive value beyond routine clinical variables. It provides a mechanistic framework for future immune-guided monitoring and treatment trials.

Clinical Implications: Immune profiling may eventually help identify transplant recipients with Gram-negative bacteremia who require intensified monitoring, earlier organ-support planning, or enrollment in targeted immunomodulatory trials. The findings are not yet sufficient to guide individual treatment because external validation and prospective clinical utility studies are needed.

Future Directions: Future studies should externally validate the biosignature in diverse transplant programs, establish timing and assay standardization, assess incremental clinical utility, and test whether immune-guided interventions improve outcomes without increasing infection or rejection risk.

This post hoc analysis included 489 adults aged 65 years or older with septic shock randomized to a mean arterial pressure target of 65–70 mmHg or 80–85 mmHg. Under the standard target, mortality decreased across increasing body mass index categories, but this association disappeared under the high target. High-target management was associated with higher mortality in both underweight and higher-body-mass-index groups compared with normal body mass index.

Impact: The analysis suggests that the prognostic meaning of body habitus in elderly septic shock is not fixed but may depend on hemodynamic management. It raises a clinically testable hypothesis that higher blood-pressure targets can negate or reverse the observed obesity paradox.

Clinical Implications: Clinicians should be cautious about applying high mean arterial pressure targets uniformly to elderly patients with septic shock, particularly those with low or high body mass index. The findings support individualized assessment of perfusion, fluid dosing, vasopressor exposure, frailty, and comorbidity rather than using body mass index alone to guide therapy.

Future Directions: Prospective trials should test individualized mean arterial pressure targets stratified by age, body mass index, frailty, chronic hypertension, and perfusion phenotype. Mechanistic analyses should determine whether differences in fluid balance, vasopressor exposure, cardiac reserve, or microcirculatory function explain the interaction.