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Fig. 1 | Clinical Proteomics

Fig. 1

From: Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

Fig. 1

Receiver operating characteristic (ROC) curve of peptide m/z 6515.90 and the multiple biomarker model of fourteen peptides for prediction of clinical outcomes in the biomarker discovery HF patient cohort. The blue curve displays the best AUC with a single biomarker was peptide m/z 6515.90 with AUC of 0.688 (Asymptotic 95% confidence interval [CI], 0.583–0.793, p = 0.001) in discriminating the HF patients who respond to treatment from HF hospitalisation/death. The green curve shows a multiple biomarker model with fourteen peptides (m/z 2646.44, 2729.47, 3113.71, 5636.08, 5855.33, 5953.32, 6314.83, 6465.03, 6515.90, 7061.32, 7358.59, 7492.90, 7582.00 and 7929.78) with an excellent improvement in the performance of predictive probability for clinical outcomes in patients with HF with an AUC of 1.000 (Asymptotic 95% CI, 1.000–1.000, p = 0.0005)

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