Literature DB >> 24873080

The significance of interleukin-6 and lactate in the synovial fluid for diagnosing native septic arthritis.

Markus Lenski, Michael A Scherer.   

Abstract

Aim of this study was to evaluate the role of synovial interleukin-6 and synovial lactate for predicting native septic arthritis. We analyzed retrospectively synovial fluid parameters (interleukin-6, total-protein, glucose, lactate, synovial-fluid-white-blood-cell-count) of 62 patients with culture-verified native septic arthritis and compared them to 57 patients with acute aseptic arthritis. Receiver-Operating-Characteristic-curves were calculated to determine the 'Area-under-the-curves' (AUC), the best thresholds and the corresponding likelihood-ratios. The best parameter for diagnosing septic arthritis was synovial lactate (AUC = 0.864, sensitivity = 74.5%, specificity = 87.2%), followed by synovial interleukin-6 (AUC = 0.803, sensitivity = 92.5%, specificity = 64.1%) and the synovial-fluid-white-blood-cell-count (AUC = 0.782, sensitivity = 71.2%, specificity = 84.9%). Synovial lactate levels above 10 mmol/l almost proofed septic arthritis (interval-Likelihood-Ratio = 20.4), synovial interleukin-6 levels lower than 7000 pg/ml almost ruled out infection (interval-Likelihood-Ratio = 0.12). If none of these thresholds are met, physicians should estimate disease probability by the simultaneous use of the interval-Likelihood-Ratios of synovial lactate, synovial interleukin-6 and synovial-fluid-white-blood-cell-count.

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Year:  2014        PMID: 24873080

Source DB:  PubMed          Journal:  Acta Orthop Belg        ISSN: 0001-6462            Impact factor:   0.500


  2 in total

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Authors:  Tao Jin; Majd Mohammad; Rille Pullerits; Abukar Ali
Journal:  Pathogens       Date:  2021-02-03

2.  Lactate Production Precedes Inflammatory Cell Recruitment in Arthritic Ankles: an Imaging Study.

Authors:  Marie-Aline Neveu; Nicolas Beziere; Rolf Daniels; Caroline Bouzin; Arnaud Comment; Johannes Schwenck; Kerstin Fuchs; Manfred Kneilling; Bernd J Pichler; Andreas M Schmid
Journal:  Mol Imaging Biol       Date:  2020-10       Impact factor: 3.488

  2 in total

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