Misclassification of sepsis using ICD-10 codes A00–B99 in the study
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By
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Ziyan Gan
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Qiang Li
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Yonglin Li
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December 1, 2025
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Clinical Scorecard: Inaccurate Classification of Sepsis Utilizing ICD-10 Codes A00–B99 in the Research
At a Glance
| Category | Detail |
| Condition | Sepsis and sepsis-induced cardiomyopathy |
| Key Mechanisms | Life-threatening organ dysfunction caused by a dysregulated host response to infection |
| Target Population | Patients with infections potentially progressing to sepsis, particularly those with type 2 diabetes |
| Care Setting | Clinical research and observational database studies |
Key Highlights
- ICD-10 codes A00–B99 cover a broad range of infectious diseases but do not specifically identify sepsis.
- True sepsis identification requires specific ICD-10 codes (e.g., R65.20, A41.9) combined with organ dysfunction markers.
- Misclassification of sepsis by using broad infection codes can dilute associations and threaten study validity.
Guideline-Based Recommendations
Diagnosis
- Use validated sepsis identification algorithms such as Angus criteria adapted for ICD-10.
- Identify sepsis with explicit ICD-10 codes like R65.x combined with organ dysfunction proxies.
Management
- Recognize sepsis as a distinct clinical syndrome requiring targeted interventions beyond treatment of infection alone.
Monitoring & Follow-up
- Monitor for organ dysfunction markers (e.g., vasopressor use, mechanical ventilation, elevated lactate, acute kidney injury) to confirm sepsis.
Risks
- Overgeneralizing infection codes as sepsis risks misclassification bias and inaccurate epidemiological conclusions.
Patient & Prescribing Data
Patients with type 2 diabetes and infections studied for sepsis-induced cardiomyopathy risk.
Accurate sepsis classification is essential to correctly assess the cardioprotective effects of SGLT2 inhibitors.
Clinical Best Practices
- Avoid equating broad infection ICD-10 codes (A00–B99) with sepsis in research.
- Incorporate organ dysfunction criteria when defining sepsis in administrative data.
- Clearly state limitations of sepsis definitions used in observational studies to inform interpretation.
References