Literature DB >> 27658153

Retrospective validation of a β-trace protein interpretation algorithm for the diagnosis of cerebrospinal fluid leakage.

Luca Bernasconi, Theresa Pötzl, Christian Steuer, Alexander Dellweg, Frank Metternich, Andreas R Huber.   

Abstract

BACKGROUND: Cerebrospinal fluid (CSF) leakage is a rare condition that can potentially lead to the development of serious complications. In the last decade, β-trace protein (β-TP) has been shown to be a valuable immunological biomarker that allows prompt and non-invasive identification of CSF leakage. At our institution, the measurement of β-TP has been included in the diagnostic work-up of CSF leakage for more than 10 years. According to our diagnostic algorithm, the presence of CSF in secretion is excluded when β-TP values are <0.7 mg/L, whereas β-TP values ≥1.3 mg/L indicate the presence of CSF in secretion. β-TP values between 0.7 and 1.29 mg/L indicate the presence of CSF if the β-TP ratio (β-TP secretion/β-TP serum) is ≥2. This study aimed to validate this diagnostic algorithm using clinically defined nasal/ear secretions.
METHODS: We performed a retrospective statistical analysis of three β-TP interpretation strategies using data of 236 samples originating from 121 patients with suspect CSF leakage received at our laboratory between 2004 and 2012.
RESULTS: The highest odds ratio was obtained when the proposed algorithm has been used for the interpretation of β-TP results, showing a sensitivity of 98.3% and a specificity of 96%. Positive and negative predictive values were 89.2% and 99.4%, respectively.
CONCLUSIONS: Our data suggest that the proposed β-TP interpretation algorithm is a valuable tool for the diagnosis of CSF leakage in the clinical practice.

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Year:  2017        PMID: 27658153     DOI: 10.1515/cclm-2016-0442

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  3 in total

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Authors:  Minghan Xian; Chan-Wen Chiu; Patrick H Carey; Chaker Fares; Liya Chen; Rena Wu; Fan Ren; Cheng-Tse Tsai; Siang-Sin Shan; Yu-Te Liao; Josephine F Esquivel-Upshaw; Stephen J Pearton
Journal:  J Vac Sci Technol B Nanotechnol Microelectron       Date:  2022-02-01

2.  Rapid Diagnostic Test Kit for Point-of-Care Cerebrospinal Fluid Leak Detection.

Authors:  Daniel W Bradbury; Ashley E Kita; Kensuke Hirota; Maie A St John; Daniel T Kamei
Journal:  SLAS Technol       Date:  2019-09-22       Impact factor: 3.047

3.  Tau protein as a possible marker of cerebrospinal fluid leakage in cerebrospinal fluid rhinorrhoea: A pilot study.

Authors:  Jean-Baptiste Oudart; Laure Zucchini; François-Xavier Maquart; Xavier Dubernard; Marc Labrousse; Géraldine Fiabane; Alexandra Quedreux; Fabien Litre; Laurent Ramont
Journal:  Biochem Med (Zagreb)       Date:  2017-08-28       Impact factor: 2.313

  3 in total

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