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What is the 90-60 rule for antibiotics? A Deep Dive into Clinical Reality

4 min read

According to the CDC, 30% to 50% of antimicrobial use in hospitals is unnecessary or inappropriate [1.3.7]. This highlights the need for guiding principles like the '90-60 rule for antibiotics' to contextualize treatment decisions and improve stewardship.

Quick Summary

The 90-60 rule is a clinical observation summarizing the predictive value of antimicrobial susceptibility testing (AST). It states that about 90% of infections respond to therapy when the pathogen is susceptible, yet 60% may still respond even if it's resistant.

Key Points

  • Core Definition: The 90-60 rule states that therapy for 'susceptible' infections is successful ~90% of the time, while therapy for 'resistant' infections is still successful ~60% of the time [1.2.6].

  • Not a Treatment Guideline: The rule is an observation, not a recommendation to use drugs against resistant pathogens. It emphasizes the importance of clinical context [1.2.6].

  • Explains Treatment Success: The 60% success rate against 'resistant' bugs is often due to factors like a strong host immune response or high drug concentrations at the infection site [1.4.1, 1.2.4].

  • Reinforces Susceptibility Testing: A 90% success rate is significantly better than 60%, confirming that choosing a drug based on susceptibility is the best practice [1.4.2].

  • Foundation of Stewardship: Understanding this rule helps clinicians avoid both premature cessation and unnecessary escalation of antibiotics, promoting better stewardship practices.

  • Patient Factors are Key: The rule highlights that clinical outcomes depend on more than just lab results, including patient immunity and drug pharmacodynamics [1.6.1].

  • Origin: The concept was notably described by Rex and Pfaller in 2002 to summarize the predictive value of susceptibility testing [1.2.5].

In This Article

Understanding the Core of Antimicrobial Treatment Decisions

In the realm of infectious disease and pharmacology, selecting the correct antibiotic is a critical decision that directly impacts patient outcomes. Clinicians rely heavily on antimicrobial susceptibility testing (AST) to guide their choices. AST results categorize a pathogen as 'Susceptible' (S), 'Intermediate' (I), or 'Resistant' (R) to a specific drug. However, the correlation between these in-vitro (in the lab) results and the in-vivo (in the patient) reality is not absolute. It is this nuanced relationship that gave rise to a widely cited clinical observation known as the 90-60 rule [1.2.6].

What is the 90-60 Rule for Antibiotics?

The 90-60 rule is not a strict guideline but an empirical observation that summarizes the predictive accuracy of susceptibility testing on clinical outcomes [1.6.9]. First described by Rex and Pfaller in 2002, the rule states [1.2.5, 1.2.1, 1.2.6]:

  • The '90': Approximately 90% of infections respond appropriately to an antimicrobial therapy when lab testing shows the causative pathogen is 'susceptible' to that drug.
  • The '60': Surprisingly, approximately 60% of infections still show a favorable response to an antimicrobial therapy even when lab testing has classified the pathogen as 'resistant'.

This rule highlights a fundamental complexity in medicine: a patient is more than a lab result. While AST is a vital tool, the 90-60 rule reminds clinicians that successful treatment is multifactorial [1.6.1]. The principle holds relatively steady across different types of bacteria, antifungal agents, and even outcome measurements (clinical response, bacteriological clearance, or mortality) [1.3.5].

Deconstructing the Discrepancy: Why Does the Rule Exist?

The 60% success rate for 'resistant' infections seems counterintuitive but can be explained by several factors that are not accounted for in a standard lab test [1.6.1, 1.4.1]:

  • Host Immune Response: A patient's own immune system plays a significant role in clearing an infection. For an immunocompetent individual, an antibiotic may only need to suppress the pathogen enough for the body's defenses to take over [1.4.1].
  • Drug Concentration at Infection Site: Standard AST uses a fixed drug concentration. However, in the body, some drugs can accumulate at the site of infection (e.g., in the urinary tract) at concentrations far exceeding the Minimum Inhibitory Concentration (MIC) measured in the lab. This high local dose can overcome what appears as resistance in testing [1.2.4, 1.2.7].
  • Pharmacodynamics (PK/PD): The relationship between drug concentration and its effect over time is complex. A drug's efficacy can be influenced by how its concentration is maintained above the MIC, which isn't fully captured by a simple S, I, or R classification [1.3.5].
  • Source Control: In many cases, treatment success hinges on more than just antibiotics. Draining an abscess, removing infected hardware, or other procedural interventions can be as crucial as the drug itself.
  • In-vitro vs. In-vivo Gene Expression: Bacteria may express resistance genes differently in the controlled environment of a lab culture compared to the complex ecosystem within a human host [1.4.1].

The 90-60 Rule and Antibiotic Stewardship

This rule is a cornerstone concept for antibiotic stewardship—the effort to optimize antimicrobial use to improve patient outcomes while minimizing unintended consequences like resistance. The rule does not advocate for using drugs against resistant pathogens. Instead, it encourages critical thinking [1.2.6].

For a clinician, the '90' provides confidence that choosing a 'Susceptible' drug is the most reliable path to success. The '60', however, serves as a crucial reminder that clinical context is king. When a patient with a 'resistant' infection improves, the 90-60 rule helps explain why this might occur without undermining the importance of susceptibility data. It forces a deeper analysis: Is the patient's immune system robust? Is the antibiotic achieving high concentrations at the infection site? Was another intervention performed?

This thinking prevents both the premature discontinuation of a potentially effective therapy and the blind escalation of antibiotics, which can drive further resistance.

Comparison Table: Clinical Interpretation of AST Results

Scenario Lab Result Expected Outcome (per 90-60 Rule) Clinical Considerations
Optimal Therapy Pathogen is Susceptible (S) ~90% chance of successful treatment [1.2.2] This is the target for therapy. Confirm appropriate dosing and that the patient is improving.
Discordant Therapy Pathogen is Resistant (R) ~60% chance of successful treatment [1.2.3] Do not intentionally choose this path. If a patient improves on this therapy, investigate why (e.g., high drug concentration at site, robust immune system, incorrect pathogen identification) [1.4.1, 1.2.7]. Re-evaluate if the patient is not improving.
Empiric Therapy Lab Result is Pending Varies Initial antibiotic choice is based on local resistance patterns (antibiograms) and likely pathogens. Aim for a drug with >90% susceptibility for the suspected organism in serious infections [1.3.6, 1.4.8].

Limitations and Misinterpretations

The most dangerous misinterpretation of the 90-60 rule is to assume that susceptibility testing is only marginally useful. This is incorrect. A 90% success rate is substantially better and more reliable than 60%. Choosing a drug to which a pathogen is susceptible remains the gold standard of care [1.4.2].

The evidence for the rule can also be sparse and sometimes contradictory, particularly in veterinary medicine [1.4.7, 1.4.1]. Furthermore, in polymicrobial infections or in immunocompromised patients, the predictive value of AST can decrease, making the 60% figure less reliable [1.4.1, 1.2.5]. The data for the rule comes from compiling many studies, and individual results can vary [1.6.1].

Conclusion

The 90-60 rule for antibiotics is a pivotal concept in modern pharmacology that bridges the gap between laboratory data and clinical reality. It underscores that while in-vitro susceptibility testing is an indispensable guide, it is not an infallible oracle. The rule serves as a constant reminder for clinicians to integrate lab results with patient-specific factors like immune status, site of infection, and pharmacodynamics. By embracing the nuance encapsulated in the 90-60 rule, healthcare providers can make more informed prescribing decisions, enhance antibiotic stewardship, and ultimately improve patient care in an era of growing antimicrobial resistance.


Authoritative Link: For more information on antimicrobial stewardship, visit the CDC's Core Elements of Hospital Antibiotic Stewardship Programs [1.3.10].

Frequently Asked Questions

It's a clinical observation stating that about 90% of infections treated with an antibiotic proven to be 'susceptible' in lab tests will respond, while about 60% of infections will respond even if the bacteria is considered 'resistant' [1.2.2].

No. The rule does not recommend using a drug against a known resistance. It serves to explain why treatment might sometimes work unexpectedly and emphasizes that choosing a 'susceptible' drug gives a much higher (90%) chance of success [1.4.2, 1.2.6].

Several factors contribute. The patient's own immune system might clear the infection, or the antibiotic might reach very high concentrations at the specific site of infection, overcoming the resistance seen in the lab [1.4.1, 1.2.7].

Antimicrobial susceptibility testing (AST) is a laboratory procedure that determines how effective specific antimicrobial drugs are against a particular microorganism. The results typically classify the organism as Susceptible, Intermediate, or Resistant [1.2.3].

It is a general observation and the exact percentages can vary. Its predictive value might be less certain in patients who are severely immunocompromised or who have infections with multiple types of bacteria [1.2.5, 1.4.1].

It encourages clinicians to think critically. It helps them understand treatment successes and failures in a broader context than just lab results, preventing overuse or inappropriate switching of antibiotics.

The MIC is the lowest concentration of an antimicrobial drug that prevents visible growth of a microorganism after overnight incubation. It's a key measurement used in susceptibility testing [1.2.4].

References

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Medical Disclaimer

This content is for informational purposes only and should not replace professional medical advice.