In vivo Raman Spectroscopy of Skin in Predicting Mortality in Patients with Heart Failure.

Area of Science:

• Biomedical Optics
• Spectroscopy
• Cardiovascular Disease Research

Background:

• Heart failure (HF) is a growing age-related condition complicating heart disease.
• Increasing HF prevalence poses a significant healthcare burden.
• Modern spectroscopic approaches offer potential for HF patient prognostication.

Purpose of the Study:

• To investigate the use of in vivo spontaneous Raman spectroscopy and autofluorescence of skin tissue for heart failure mortality prediction.
• To develop and validate a classification model for predicting 1-year mortality in HF patients using spectral data.

Main Methods:

• Collected skin spectral data from 160 heart failure patients.
• Utilized spontaneous Raman spectroscopy and autofluorescence for in vivo skin tissue analysis.
• Developed a prediction model using Projection on Latent Structures combined with Discriminant Analysis (PLS-DA).

Main Results:

• Autofluorescence and Raman spectroscopy achieved 66% and 70% prediction accuracy, respectively.
• Combined spectral analysis yielded 74% accuracy (68% sensitivity, 80% specificity) for 1-year mortality prediction.
• Key Raman bands (1086-1180, 1320, 1465, 1770 cm-1) were identified for mortality prediction.

Conclusions:

• Raman spectroscopy shows potential as a powerful tool for heart failure prognosis.
• In vivo spectral analysis of skin tissue offers a non-invasive approach for HF mortality prediction.
• Further validation in larger cohorts is necessary to confirm the clinical applicability of this method.