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Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH\u2010MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single\u2010protein unadjusted and adjusted for age and smoking status, besides two\u2010protein combinations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Eight single salivary proteins had a bias\u2010corrected accuracy (bc\u2010ACC) of 78.8%\u201386.8% (bc\u2010sensitivity\/bc\u2010specificity of 62.5%\u201386.9%\/60.9%\u201398.1%) to diagnose periodontitis. Predictive capacity increased more by adjusting for age (bc\u2010ACC: 94.1%\u201398.2%; bc\u2010sensitivity\/bc\u2010specificity: 90.2%\u201398.6%\/93.6%\u201397.2%) than smoking (bc\u2010ACC: 83.9%\u201390.4%; bc\u2010sensitivity\/bc\u2010specificity: 73.6%\u201389.9%\/76.2%\u201396.4%). These proteins were keratin, type II cytoskeletal 1, protein S100\u2010A8, \u03b2\u20102\u2010microglobulin, neutrophil defensin 1, lysozyme C, ubiquitin\u201060S ribosomal protein L40, isoform 2 of tropomyosin \u03b1\u20103 chain and resistin. Two dual combinations showed bc\u2010sensitivity\/bc\u2010specificity of &gt;\u200990%: \u03b2\u20102\u2010microglobulin with profilin\u20101, and lysozyme C with zymogen granule protein 16 homologue B.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>New salivary biomarkers show good or excellent ability to diagnose periodontitis. 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