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Fever of Unknown Origin (FUO) Criteria Influences Diagnostic Outcomes: A Systematic Review and Meta-Analysis
William F Wright1, Jiangxia Wang2, Paul G Auwaerter3
1Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Md.
Background:
Criteria classifying fever of unknown origin (FUO) patients remains subject to discrepancies. A minimal standardized set of investigative tests serves as the foundation for the qualitative criteria, whereas quantitative incorporates the length of evaluation (7 or 3 days). A systematic review of studies would help physicians anticipate the frequency of illness types that could influence management.
Methods:
Prospective studies published in Medline (PubMed), Embase, Scopus, and Web of Science databases from January 1, 1997 to July 31, 2022, were included. A meta-analysis estimated associated pooled proportions between these criteria and diagnostic outcomes adjusted to the International Classification of Diseases, 10th edition (ICD-10) definitions.
Results:
Five qualitative studies corresponded to an increase of 15.3% (95% CI: 2.3%-28.3%, P = .021) in undiagnosed FUO proportions compared to eleven quantitative studies. Quantitative studies had 19.7% (95% CI: 6.0%-33.4%, P = .005) more in adjusted infectious disease proportions than qualitative studies. No significant differences in proportions between FUO defining criteria were noted for adjusted noninfectious inflammatory disorders (P = .318), oncology (P = .901), non-inflammatory miscellaneous disorders (P = .321), diagnostic evaluation process, gross national income (GNI), or World Health Organization (WHO) geographic region.
Conclusions:
Use of either qualitative or quantitative FUO criteria was associated with a statistically significant risk of over- or under-estimating infectious diseases and undiagnosed illnesses when using an ICD-10 adjusted FUO five-category system. Clinicians should anticipate differences depending on which criteria are used. While further research is warranted, qualitative criteria provide the best framework for study comparisons.
Insights
Classifying fever of unknown origin (FUO) criteria impacts diagnostic accuracy. Qualitative criteria may increase undiagnosed cases, while quantitative criteria better identify infectious diseases, influencing clinical management.
Area of Science:
- Internal Medicine
- Infectious Diseases
- Medical Diagnostics
Background:
- Fever of unknown origin (FUO) classification criteria lack standardization, leading to discrepancies.
- Qualitative criteria rely on investigative tests, while quantitative criteria incorporate evaluation duration.
- Understanding illness frequencies is crucial for effective FUO patient management.
Purpose of the Study:
- To systematically review and compare qualitative and quantitative FUO classification criteria.
- To assess the impact of different FUO criteria on diagnostic outcomes.
- To provide evidence-based recommendations for FUO diagnostic approaches.
Main Methods:
- A systematic review of prospective studies published between 1997 and 2022.
- Inclusion of studies from major databases: Medline (PubMed), Embase, Scopus, and Web of Science.
- Meta-analysis to estimate pooled proportions of diagnostic outcomes adjusted to ICD-10 definitions.
Main Results:
- Qualitative criteria were associated with a 15.3% increase in undiagnosed FUO proportions compared to quantitative criteria.
- Quantitative criteria showed a 19.7% higher proportion of adjusted infectious diseases than qualitative criteria.
- No significant differences were found for noninfectious inflammatory disorders, oncology, or miscellaneous disorders between criteria.
Conclusions:
- Both qualitative and quantitative FUO criteria can lead to over- or under-estimation of diseases when using an ICD-10 adjusted system.
- Clinicians must consider the chosen FUO criteria's potential impact on diagnosis.
- Qualitative criteria offer a better framework for comparing studies, despite potential increases in undiagnosed cases.
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