CALLY Index and Inflammatory Parameters for Predicting Focal Involvement in Human Brucellosis: A Retrospective Cohort Study
Diagnostics·
- DOI
- 10.3390/diagnostics16162607
- PMID
- —
- PMCID
- —
- OpenAlex
- W7203606764
- Study type
- Cohort study
- Publisher
- MDPI AG
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings underscore the ongoing diagnostic utility of conventional inflammatory assays for initial case evaluation within standard clinical workflows.
Structured evidence summary
Research question
Does the C-reactive protein-albumin-lymphocyte index improve prediction of localized brucellosis complications compared to standard inflammatory measurements?
Study design
A retrospective cohort analysis utilizing electronic health records spanning a decade to compare baseline laboratory values between patient subgroups.
Population and setting
Two hundred three individuals receiving care for brucellosis, stratified according to whether they developed localized disease manifestations.
Main findings
Patients with localized complications presented with significantly higher erythrocyte sedimentation rates and distinct hematological profiles. Statistical modeling confirmed erythrocyte sedimentation rate as an independent prognostic indicator, whereas the composite CALLY index failed to demonstrate superior predictive accuracy or independent significance.
Public-health relevance
The findings underscore the ongoing diagnostic utility of conventional inflammatory assays for initial case evaluation within standard clinical workflows.
Important limitations
The observational framework restricts causal inference and depends entirely on historical clinical documentation without prospective validation.
GIDS interpretation
This article contributes diagnostic literature concerning biomarker performance for brucellosis but operates independently of real-time pathogen tracking or outbreak detection systems.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 7 auditable classifier relationships to diseases, places, topics, and study design.