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The proposed work will provide critical insights into the potential impact of a biomarker-based algorithm on reducing unnecessary antibiotic use in different adult and pediatric/neonatal ICU's. This proposal will also assess the costs (or savings) of a biomarker-based intervention. Overall, the results of this work will be critical in informing future strategies to eliminate unnecessary antibiotic use and curb the continued rise in antimicrobial resistance.
The goal of this project is reduce unnecessary use of antibiotics in the ICU. The purpose of Phase I of the study is to identify the biomarker, or combination of biomarkers, that provides optimal test characteristics in identifying adults and children/neonates with presumed sepsis who have a very low likelihood of bacterial infection. Results of Phase I will result in development of a biomarker-based algorithm to inform need for antibiotic use in ICU patients. In Phase II, the impact of this biomarker-based algorithm on reducing antibiotic use in the ICU will be determined. Costs or savings associated with the algorithm will also be assessed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Observational | No Intervention | 9 blood biomarkers (including C reactive protein and Procalcitonin) will be assessed across 3 days. Results will not be shared with the subject's medical team. At 3 days, the definitive diagnosis of infection will be determined using Center for Disease Control (CDC) criteria; this will serve as the gold standard for determining biomarker test characteristics. Additional data to collect: demographics, comorbidities, medication use (like antibiotics), lab cultures, x-rays, sepsis resolution, length of hospital stay, and ultimate outcome (i.e., discharge, death). Phase I will identify the biomarker(s) providing the greatest negative predictive value in identifying patients at very low likelihood bacterial infection. | |
| Biomarker Algorithm Intervention | Experimental | The Algorithm arm is equivalent to the intervention. Biomarker algorithm along with the patient's biomarker assay results will be given to clinical team to assist in deciding to continue antibiotics. The intervention will consist of using the biomarker identified as useful in Phase I to compile an algorithm along containing the patient's biomarker assay results and providing this as additional information for a clinical team consider using to assist in deciding to continue antibiotics. Biomarker algorithms may be different for adult versus pediatric patients, and across different types of ICUs. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biomarker Algorithm Intervention | Other | The intervention will consist of using the biomarker identified as useful in Phase I to compile an algorithm along containing the patient's biomarker assay results and providing this as additional information for a clinical team consider using to assist in deciding to continue antibiotics. Biomarker algorithms may be different for adult versus pediatric patients, and across different types of ICUs. |
| Measure | Description | Time Frame |
|---|---|---|
| Duration of antibiotic therapy started upon enrollment for presumed sepsis | The primary outcome is the duration of antibiotic treatment after enrollment, expressed in days. This variable will focus specifically on the antibiotic agents given for the episode of presumed sepsis for which the patient was included in the study. | Two years |
| Measure | Description | Time Frame |
|---|---|---|
| Subject's Final Disposition | This includes assessing ICU mortality, hospital mortality, or hospital discharge as an ultimate outcome. | Participants will be followed for the duration of hospital stay, an expected average of 6 days |
| Measure | Description | Time Frame |
|---|---|---|
| Length of stay | A secondary outcome of length of stay both in the Intensive Care Unit as well as total hospital stay after enrollment will be assessed. | Participants will be followed for the duration of hospital stay, an expected average of 6 days |
| Clinical Cure |
Inclusion Criteria:
SIRS Criteria
SIRS is considered to be present when patients have more than one of the following clinical findings:
new empiric antibiotic therapy is initiated, indicating the suspicion of infection. Accepted criteria for SIRS will be used for the Medical Intensive Care Unit and Surgical Intensive Care Unit populations, with appropriate age-specific vital signs definitions to help make the definitions relevant for the Pediatric Intensive Care Unit population.
Exclusion Criteria:
An immunocompromising condition will be defined as one of the following:
These criteria all represent conditions in which antibiotic use is much less likely to be decreased regardless of the results of a biomarker and are consistent with exclusion criteria used in past studies of the impact of biomarkers.
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| Name | Affiliation | Role |
|---|---|---|
| Ebbing Lautenbach, MD,MPH,MSCE | Univeristy of Pennsylvania | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital of the University of Pennsylvania - Medical Intensive Care Unit | Philadelphia | Pennsylvania | 19104 | United States |
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| ID | Term |
|---|---|
| D018805 | Sepsis |
| D018746 | Systemic Inflammatory Response Syndrome |
| ID | Term |
|---|---|
| D007239 | Infections |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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|
This secondary outcome measure is defined as resolution of sepsis. Clinical signs and symptoms present at the time of enrollment as well as the presence in any clinical cultures of antimicrobial resistant organisms not present prior to enrollment will be ascertained. |
| Participants will be followed for the duration of hospital stay, an expected average of 6 days |
| D012769 | Shock |