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Diagnostic Accuracy Of Different Clinicopathological Parameters In The Differentiation Of Septic Versus Aseptic Mono-Arthritis In The Paediatric Age Group

Year: 2025

Type: article

Abstract: Objective: Determining the diagnostic accuracy of various clinicopathological parameters in differentiating Septic Arthritis versus Aseptic Inflammatory Arthritis in the paediatric age group. Methods: A cross-sectional study took place at the Department of Orthopedics, Nawaz Sharif Medical College, University of Gujrat, Gujrat, from February 2023 to July 2024. 150 children aged 10-160 months, of either gender, presented for the first episode of acute monoarthritis lasting for less than a week were included and categorized into two groups. Group A included children with confirmed diagnosis of SA and Group B included children diagnosed with aseptic inflammatory arthritis. Body temperature and serum inflammatory markers were measured. Receiver operating characteristic curves were made to discover the optimum diagnostic cut-off values of the parameters. The areas under the curves were then estimated to juxtapose the overall predictive accuracy for SA. Results: 49.33% of patients had SA and 50.67% had Aseptic Inflammatory Arthritis. All clinicopathological parameters including body temperature, TLC, ANC, NP, ESR, and CRP exhibited significantly higher values in Group A than in Group B (p<0.01). TLC had a considerable discriminatory power in distinguishing SA from aseptic inflammatory arthritis followed by ESR, CRP, NP, body temperature and ANC. Conclusion: In conclusion, these clinicopathological parameters can be used for the prompt diagnosis of SA to start the treatment and prevent the progression of the disease.

Source: Journal of Rawalpindi Medical College

DOI: 10.37939/jrmc.v29i1.2726

Authors: Warda Hussain, Waqas Ali, Rahman Rasool Akhtar, Naveed Gul, Waseem Pasha, Muhammad Zahid Siddiq

Institutions: Rawalpindi Medical University, CMH Kharian Medical College

Language: English

Topic: Orthopedic Infections and Treatments

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $35