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Meta-Analysis
. 2015 Jan 15;11(1):27-36.
doi: 10.5664/jcsm.4358.

Diagnostic capability of biological markers in assessment of obstructive sleep apnea: a systematic review and meta-analysis

Graziela De Luca Canto  1   2 , Camila Pachêco-Pereira  2 , Secil Aydinoz  3   4 , Paul W Major  2 , Carlos Flores-Mir  2 , David Gozal  4
Affiliations
Meta-Analysis

Diagnostic capability of biological markers in assessment of obstructive sleep apnea: a systematic review and meta-analysis

Graziela De Luca Canto et al. J Clin Sleep Med. .

Abstract

Objective: The purpose of this systematic review is to evaluate the diagnostic value of biological markers (exhaled breath condensate, blood, salivary and urinary) in the diagnosis of OSA in comparison to the gold standard of nocturnal PSG.

Methods: Studies that differentiated OSA from controls based on PSG results, without age restriction, were eligible for inclusion. The sample of selected studies could include studies in obese patients and with known cardiac disease. A detailed individual search strategy for each of the following bibliographic databases was developed: Cochrane, EMBASE, MEDLINE, PubMed, and LILACS. The references cited in these articles were also crosschecked and a partial grey literature search was undertaken using Google Scholar. The methodology of selected studies was evaluated using the 14-item Quality Assessment Tool for Diagnostic Accuracy Studies.

Results: After a two-step selection process, nine articles were identified and subjected to qualitative and quantitative analyses. Among them, only one study conducted in children and one in adults found biomarkers that exhibit sufficiently satisfactory diagnostic accuracy that enables application as a diagnostic method for OSA.

Conclusion: Kallikrein-1, uromodulin, urocotin-3, and orosomucoid-1 when combined have enough accuracy to be an OSA diagnostic test in children. IL-6 and IL-10 plasma levels have potential to be good biomarkers in identifying or excluding the presence of OSA in adults.

Keywords: biological markers; diagnosis; review; sleep apnea syndromes.

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Figures

Figure 1
Figure 1. Flow diagram of literature search and selection criteria.
Adapted from PRISMA.
Figure 2
Figure 2. Forest plot with diagnostic test accuracy (sensitivity, specificity, and 95% confidence interval) of each study.
(A) Studies in children that analyzed each biomarker individually. (B) Studies in children that combined three or four biomarkers in one analysis. (C) Studies in adults. TP, true positive; FP, false positive; FN, false negative; TN, true negative.
Figure 3
Figure 3. Receiver operating characteristic (ROC) curves for each group.
(A) Studies in children that analyzed each biomarker individually. (B) Studies in children that combined three or four biomarkers in one analysis. (C) Studies in adults.
See this image and copyright information in PMC

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