Model for Predicting Bacteremia in Patient in Emergency Department

Are you evaluating a patient suspected of having bacteremia in the ED?

Yes

Does the patient ...

• have suspected endocarditis?

Yes

• have suspected line infection?

Yes

• have suspected urinary source?

Yes

• have an indwelling venous catheter?

Yes

• need vasopressors while in the ED?

Yes

• have respiratory failure?

Yes

Temperature

Platelet count

Percent neutrophils in the differential count (enter from 0 to 100)

Percent bands (enter from 0 to 100)

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Value of X

Probability of bacteremia

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
Clinical Diagnosis, Including Family History For Genetics
Laboratory Tests
Other Testing
- Decision Rule to Identify Patient Who Should Have a Blood Culture
Criteria For Diagnosis
Severity, Prognosis, Stage
Complications
- Pitt Bacteremia Score of Paterson et al
- Prediction Rule for Bacteremia in Patient with Community Acquired Pneumonia
Differential Diagnosis And Mimics, Red Flags
- Criteria for Distinguishing True Bacteremia from Contaminated Blood Cultures

Monitoring

Disease Progression
- Sepsis Syndrome | Risk of Bacteremia

Evaluation

Results

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Monitoring

Specialty

Objective

ICD-10

Model for Predicting Bacteremia in Patient in Emergency Department

Purpose: To predict bacteremia in a patient in the Emergency Department (ED) using a model of Chase et al.

Evaluation

Results

Please fill out required fields.

MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Monitoring

Specialty

Objective

ICD-10