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Impact of bacteremia prediction rule in CAP: Before and after study
Byunghyun Kim1, Kyuseok Kim1, Jieun Lee1
1Department of Emergency Medicine, Seoul National University Bundang Hospital, 166 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do 463-707, Republic of Korea.
Objective:
In cases of community acquired pneumonia (CAP), it has been known that blood cultures have low yields and rarely affect clinical outcomes. Despite many studies predicting the likelihood of bacteremia in CAP patients, those results have been rarely implemented in clinical practice, and use of blood culture in CAP is still increasing. This study evaluated impact of implementing a previously derived and validated bacteremia prediction rule.
Methods:
In this registry-based before and after study, we used piecewise regression analysis to compare the blood culture rate before and after implementation of the prediction rule. We also compared 30-day mortality, emergency department (ED) length of stay, time-interval to initial antibiotics after ED arrival, and any changes to the antibiotics regimen as results of the blood cultures. In subgroup analysis, we compared two groups (with or without the use of the prediction rule) after implementation period, using propensity score matching.
Results:
Following the implementation, the blood culture rate declined from 85.5% to 78.1% (P=0.003) without significant changes in 30-day mortality and antibiotics regimen. The interval to initial antibiotics (231min vs. 221min, P=0.362) and length of stay (1019min vs. 954min, P=0.354) were not significantly changed. In subgroup analysis, the group that use the prediction rule showed 25min faster antibiotics initiation (P=0.002) and 48min shorter length of stay (P=0.007) than the group that did not use the rule.
Conclusion:
Implementation of the bacteremia prediction rule in CAP patients reduced the blood culture rate without affecting the 30-day mortality and antibiotics regimen.
Insights
Implementing a new prediction rule for community-acquired pneumonia (CAP) significantly reduced blood culture use. This change did not impact patient mortality or antibiotic treatment, improving care efficiency.
Area of Science:
- Infectious Diseases
- Clinical Medicine
- Health Services Research
Background:
- Blood cultures in community-acquired pneumonia (CAP) have historically low yields and minimal impact on clinical outcomes.
- Despite low utility, blood culture use in CAP patients continues to rise, necessitating strategies for optimization.
- Existing bacteremia prediction rules for CAP have seen limited clinical implementation.
Purpose of the Study:
- To evaluate the impact of implementing a validated bacteremia prediction rule on clinical practice for CAP patients.
- To assess changes in blood culture utilization rates post-implementation.
- To determine the effect of the rule on patient outcomes, including mortality and antibiotic management.
Main Methods:
- A registry-based, before-and-after study design was employed.
- Piecewise regression analysis compared blood culture rates before and after rule implementation.
- Outcomes assessed included 30-day mortality, ED length of stay, and time to antibiotics; propensity score matching was used for subgroup analysis.
Main Results:
- Blood culture rates decreased from 85.5% to 78.1% (P=0.003) after rule implementation.
- No significant changes were observed in 30-day mortality or antibiotic regimens.
- Subgroup analysis revealed faster antibiotic initiation (25 min, P=0.002) and shorter ED length of stay (48 min, P=0.007) in the group using the prediction rule.
Conclusions:
- Implementation of a bacteremia prediction rule effectively reduced blood culture utilization in CAP patients.
- The reduction in blood cultures did not adversely affect 30-day mortality or antibiotic treatment strategies.
- The prediction rule demonstrated potential to improve clinical workflow efficiency, including faster antibiotic administration.
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