Raman spectroscopy of skin in predicting prognosis in patients with heart failure
Lyudmila A. Bratchenko1, Yulia A. Khristoforova2, Maria A. Skuratova3, Petr A. Lebedev4, Ivan A. Bratchenko1; 1Immanuel Kant Baltic Federal University, Kaliningrad, Russia; 2Samara University, Samara, Russia; 3Samara City Clinical Hospital No 1 named after N. I. Pirogov, Samara, Russia; 4Samara State Medical University, Samara, Russia
Abstract
Heart failure (HF) is an age-associated condition that exacerbates the clinical course of underlying heart disease. The prevalence of HF is rising, imposing a substantial burden on healthcare systems. Modern spectroscopic methods offer potential for prognostic stratification in HF. This study evaluates the use of conventional Raman spectroscopy and autofluorescence for in vivo skin analysis to predict outcomes in HF patients. Skin spectral data were acquired from 160 patients with HF, of whom 29 died within one year of observation. After preprocessing the spectra, we developed a classification model to predict one-year mortality based on projection onto latent structures with discriminant analysis (PLS-DA). Stability of the model was demonstrated during division of the data into training and test. Analysis of full spectral data provided only 55% accuracy in a one-year mortality prediction, while analysis of autofluorescence and Raman spectral data provides 66% and 70% accuracy, respectively. The combination of autofluorescence and Raman spectroscopy provides an accuracy of 74% (68% sensitivity and 80% specificity) and an ROC AUC of 0.80 for the prediction of 1-year mortality in patients with HF. The most important Raman bands for the prediction of one-year mortality appeared at 1086-1180, 1320, 1465, and 1770 cm-1. Raman spectroscopy could be a powerful tool for the prognosis of patients with HF; however, further studies on a larger cohort are required to demonstrate the applicability of the proposed spectral in vivo analysis.
Speaker
Lyudmila Bratchenko
Scientific and educational center "Fundamental and applied photonics. Nanophotonics", Immanuel Kant Baltic Federal University
Russia
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