Document Detail


Spectroscopic diagnosis of myocardial infarction and heart failure by Fourier transform infrared spectroscopy in serum samples.
MedLine Citation:
PMID:  20223059     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Cardiovascular disease is the leading cause of death in Western civilization. In this pilot study we evaluated a new method for the diagnosis of myocardial infarction and heart failure by determining the typical fingerprint in the infrared (IR) spectrum of 1 microL of a dried patient serum sample by Fourier transform IR spectroscopy. For classification, cluster analysis and artificial neural networks (ANN) were applied. In this study 567 subjects were enrolled, comprising 225 controls (Co) and 342 patients with myocardial infarction (MI) (n = 157) and heart failure (HF) (n = 185). By applying artificial neural network algorithms, the following sensitivities and specificities of the same spectra were determined: MI versus Co (98%, 97%), HF versus Co (98%, 100%), MI versus HF (100%, 100%), and MI plus HF versus Co (100%, 100%). Based on our data, mid-IR spectroscopy appears to be a promising new method to diagnose heart diseases from serum samples. Artificial neural network algorithms proved to be superior to cluster analysis for correct prediction.
Authors:
Stephan L Haas; Ralf M?ller; Amilcar Fernandes; Kristina Dzeyk-Boycheva; Susanne W?rl; Jens Hohmann; Sabrina Hemberger; Elif Elmas; Martina Br?ckmann; Peter Bugert; J?rgen Backhaus
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied spectroscopy     Volume:  64     ISSN:  1943-3530     ISO Abbreviation:  Appl Spectrosc     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-03-12     Completed Date:  2010-06-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372406     Medline TA:  Appl Spectrosc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  262-7     Citation Subset:  IM    
Affiliation:
Department of Medicine II, Mannheim Medical Faculty of the University Heidelberg, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Cluster Analysis
Heart Failure / blood,  diagnosis*
Humans
Myocardial Infarction / blood,  diagnosis*
Neural Networks (Computer)
Pilot Projects
Reproducibility of Results
Spectroscopy, Fourier Transform Infrared / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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