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Diagnostic uncertainty in infectious diseases: Advocacy for a nosological framework
Pierre-Marie Roger1, Olivia Keïta-Perse2, Jean-Luc Mainardi3
1Infectiologie, Centre Hospitalier Universitaire de Guadeloupe, France; Faculté de Médecine, Université des Antilles, France.
Abstract:
Diagnostic uncertainty (DU) is frequent in infectious diseases (ID), being recorded in 10% to over 50% of patients. Herein, we show that in several fields of clinical practice, high rates of DU are constant over time. DUs are not taken into account in guidelines, as therapeutic propositions are based on an established diagnosis. Moreover, while other guidelines underline the need for rapid broad-spectrum antibiotic therapy for patients with sepsis, many clinical conditions mimic sepsis and lead to unnecessary antibiotic therapy. Considering DU, many studies have been carried out to look for relevant biomarkers of infections, which also attest to non-infectious diseases mimicking infections. Therefore, diagnosis is often primarily a hypothesis, and empirical antibiotic therapy should be reassessed when microbiological data are available. However, other than for urinary tract infections or unexpected primary bacteremia, the high frequency of sterile microbiological samples implies that DU remains central in follow-up, which does not facilitate clinical management or antibiotic optimization. The main way to resolve the therapeutic challenge of DU could be to precisely describe the latter through a consensual definition that would facilitate consideration of DU and its mandatory therapeutic implications. A consensual definition of DU would also clarify responsibility and accountability for physicians in the antimicrobial approval process and l provide an opportunity to instruct their students in this large field of medical practices and to productively conduct relevant research.
Insights
Diagnostic uncertainty (DU) significantly impacts infectious disease (ID) patient care, often leading to unnecessary antibiotic use. A clear definition of DU is crucial for better clinical management and antibiotic stewardship.
Area of Science:
- Infectious Diseases
- Clinical Medicine
- Diagnostic Challenges
Background:
- Diagnostic uncertainty (DU) affects 10-50% of patients in infectious diseases (ID).
- High rates of DU persist over time across various clinical settings.
- Current guidelines often overlook DU, basing treatments on presumed diagnoses.
Purpose of the Study:
- To highlight the persistent challenge of diagnostic uncertainty in infectious diseases.
- To emphasize the need for reassessing empirical antibiotic therapy in light of DU.
- To advocate for a consensual definition of DU to guide clinical practice and research.
Main Methods:
- Review of clinical practice and existing guidelines concerning diagnostic uncertainty.
- Analysis of the impact of DU on antibiotic prescribing and patient management.
- Discussion of the implications of DU for medical education and research.
Main Results:
- Diagnostic uncertainty is a constant issue in infectious diseases, frequently leading to unnecessary broad-spectrum antibiotic use.
- Many non-infectious conditions mimic sepsis, complicating diagnosis and treatment.
- Sterile microbiological samples are common, underscoring the ongoing challenge of DU in patient follow-up.
Conclusions:
- A consensual definition of diagnostic uncertainty is essential for its clinical recognition and management.
- Addressing DU can improve antibiotic stewardship, reduce unnecessary treatments, and guide future research.
- Clarifying DU will enhance physician accountability and medical training in infectious diseases.
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