Empirical Antibiotics: Definition and Clinical Application
Empirical antibiotics are antimicrobial medications prescribed before a definitive causative pathogen is identified, based on the most likely infectious agents for a specific clinical syndrome, local resistance patterns, and patient risk factors. 1
Key Characteristics of Empirical Antibiotic Therapy
- Timing: Administered before microbiological confirmation (cultures, susceptibility testing)
- Purpose: To provide immediate coverage against the most likely pathogens while awaiting definitive diagnosis
- Basis: Selection guided by:
- Clinical presentation and syndrome
- Local epidemiology and resistance patterns
- Patient risk factors for resistant organisms
- Severity of illness
The AWaRe Classification System
The WHO categorizes antibiotics into three groups to guide appropriate use 1, 2:
Access (Green) - First-line options for common infections with lower resistance potential
- Examples: amoxicillin, trimethoprim-sulfamethoxazole, doxycycline
- Should be widely available, affordable, and of assured quality
Watch (Yellow) - Higher resistance potential but still recommended for specific indications
- Examples: fluoroquinolones, carbapenems, macrolides
- Target for stewardship monitoring programs
Reserve (Red) - Last-resort options for specific resistant infections
- Used only when other alternatives are inadequate or have failed
- Should be protected and prioritized in stewardship programs
When to Use Empirical Antibiotics
Empirical antibiotics are indicated in 1:
- Severe infections with signs of sepsis - When delay in treatment could increase mortality
- Specific high-risk populations:
- Infants <3 months with suspected bacterial infection
- Immunocompromised patients with severe illness
- Patients with clinical features of sepsis and suspected enteric fever
- Specific clinical scenarios:
- Necrotizing fasciitis
- Severe skin/soft tissue infections
- Complicated intra-abdominal infections
When to Avoid Empirical Antibiotics
Empirical antibiotics should be avoided in 1:
- Mild COVID-19 without evidence of bacterial superinfection
- Immunocompetent patients with bloody diarrhea while awaiting test results (with exceptions)
- Asymptomatic contacts of people with bloody diarrhea
- STEC O157 infections and other Shiga toxin 2-producing E. coli
- Clinically uninfected diabetic wounds
Principles of Empirical Antibiotic Selection
- Start broad, then narrow: Initial broad coverage of likely pathogens, followed by de-escalation when culture results become available 1, 3
- Consider local resistance patterns: Base selection on local surveillance and susceptibility data
- Risk-stratify patients: Consider patient-specific risk factors for resistant organisms
- Reassess regularly: Modify therapy when culture results become available (typically 2-4 days) 1
- Balance individual and population health: Consider both patient outcomes and antimicrobial stewardship
Common Pitfalls in Empirical Antibiotic Use
- Inadequate initial coverage: Associated with increased mortality, longer hospital stays, and higher costs 3
- Failure to de-escalate: Continuing broad-spectrum therapy after pathogen identification increases resistance risk
- Overuse in viral infections: Particularly problematic during the COVID-19 pandemic 1
- Reliance on single biomarkers: Procalcitonin alone may be misleading in some COVID-19 patients 1
- Ignoring local resistance patterns: Can lead to treatment failure
Best Practices for Empirical Antibiotic Use
- Obtain cultures before starting antibiotics whenever possible
- Document indication and planned duration at initiation
- Reassess at 48-72 hours based on clinical response and culture results
- De-escalate to narrower spectrum when possible 1, 3
- Discontinue if infection is unlikely or confirmed to be viral
- Follow local guidelines adapted to institutional resistance patterns
By following these principles, clinicians can optimize the use of empirical antibiotics to improve patient outcomes while minimizing antimicrobial resistance.