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The dataset was subjected to statistical analysis (e.g., sensitivity, specificity, predictive and likelihood ratios) and logistic regression modeling, with results compared to the synovial leucocyte count thresholds of \u2265\u2009100,000\/\u03bcL and\u2009\u2265\u200950,000\/\u03bcL.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The logistic regression model (sensitivity 50%, specificity 97.04%) outperformed the models based on arbitrary thresholds like a synovial leucocyte count of \u2265\u2009100,000\/\u03bcL (sensitivity 48.21%, specificity 88.16%) or\u2009\u2265 50,000\/\u03bcL (sensitivity 64.29%, specificity 69.74%) in predicting septic arthritis. Independent variables like age, presence of gout, and autoimmune arthritis as comorbidities, hip joint involvement, synovial aspirate leucocyte count, and crystals in aspirated fluid demonstrated a significant (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05) correlation to septic arthritis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Septic arthritis presents a multivariate correlation that deserves a holistic oversight rather than singling out individual factors. Data mining platforms like logistic regression can investigate the complex interplay among these individual variables while making a diagnosis not only in septic arthritis but also in other diseases with multisystem involvement, infective or non\u2010infective alike.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1756-185x.70386","type":"journal-article","created":{"date-parts":[[2025,8,16]],"date-time":"2025-08-16T05:55:33Z","timestamp":1755323733000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Toward Identifying a Multivariate Correlation of Septic Arthritis With a Machine Learning Approach: Time to Reset the Current Australasian Guidelines?"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6528-6877","authenticated-orcid":false,"given":"Sourav","family":"Bhattacharjee","sequence":"first","affiliation":[{"name":"School of Veterinary Medicine University College Dublin  Dublin 4 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