Evaluation of a Comprehensive Algorithm for PICU Patients With New Fever or Instability: Association of Clinical...

Area of Science:

• Pediatric critical care medicine
• Clinical microbiology
• Healthcare quality improvement

Background:

• A
• New Fever Algorithm
• was implemented to guide the evaluation of pediatric intensive care unit (PICU) patients presenting with new fever or instability.
• Previous analysis indicated a reduction in overall culture rates without adverse safety events.
• This study aimed to assess the algorithm's impact on specific testing practices.

Purpose of the Study:

• To evaluate the effect of the
• New Fever Algorithm
• on diagnostic testing patterns in a PICU.
• To quantify the reduction in algorithm-discordant and potentially avoidable cultures post-implementation.

Main Methods:

• Retrospective analysis of 12 months of data pre- and post-intervention in a single academic PICU and pediatric cardiac ICU.
• Categorization of all blood, respiratory, and urine cultures based on indications and adherence to algorithm guidance.
• Assessment of specific discordant testing patterns, including blood cultures without sepsis concern, respiratory cultures without symptoms, and urine cultures without urinalysis or pyuria.

Main Results:

• Out of 2827 cultures, 1950 (69%) were for new fever or instability.
• Algorithm-discordant testing decreased from 39% to 30% (p < 0.0001).
• Significant reductions were observed in peripheral blood cultures without sepsis concern (18.6% to 10.4%), respiratory cultures without symptoms (41.5% to 27.4%), and pan-cultures (22.4% to 10.6%).
• Urine cultures without pyuria also declined (83.0% to 73.7%), though cultures without urinalysis did not significantly change.

Conclusions:

• The
• New Fever Algorithm
• effectively reduced algorithm-discordant testing and the use of pan-cultures in critically ill children.
• While significant improvements were noted, opportunities for further optimization of testing practices remain.
• Continued strategies are necessary to refine diagnostic testing in this complex patient population.