title: Potential of mid-infrared spectroscopy to aid the triage of patients with acute chest pain.
abstract: A total of 1,429 serum samples from 389 consecutive patients with acute chest pain were analyzed with the goal to aid the rapid diagnosis of acute myocardial infarction. To the best of our knowledge this is the largest and most comprehensive study on mid-infrared spectroscopy in cardiology. We were able to identify those signatures in the mid-infrared spectra of the samples, which were specific to either acute myocardial infarction or chest pain of other origin (angina pectoris, oesophagitis, etc). These characteristic spectral differences were used to distinguish between the cause of the donor's acute chest pain using robust linear discriminant analysis. A sensitivity of 88.5% and a specificity of 85.1% were achieved in a blind validation. The area under the receiver operating characteristics curve amounts to 0.921, which is comparable to the performance of routine cardiac laboratory markers within the same study population. The biochemical interpretation of the spectral signatures points towards an important role of carbohydrates and potentially glycation. Our studies indicate that the "Diagnostic Pattern Recognition (DPR)" method presented here has the potential to aid the diagnostic procedure as early as within the first 6 hours after the onset of chest pain.
authors.affiliation: Roche Diagnostics GmbH, Sandhofer Str. 116, 68305 Mannheim, Germany.
authors.forename: W
authors.initials: W
authors.lastname: Petrich
authors.forename: K B
authors.initials: KB
authors.lastname: Lewandrowski
authors.forename: J B
authors.initials: JB
authors.lastname: Muhlestein
authors.forename: M E H
authors.initials: ME
authors.lastname: Hammond
authors.forename: J L
authors.initials: JL
authors.lastname: Januzzi
authors.forename: E L
authors.initials: EL
authors.lastname: Lewandrowski
authors.forename: R R
authors.initials: RR
authors.lastname: Pearson
authors.forename: B
authors.initials: B
authors.lastname: Dolenko
authors.forename: J
authors.initials: J
authors.lastname: Früh
authors.forename: M
authors.initials: M
authors.lastname: Haass
authors.forename: M M
authors.initials: MM
authors.lastname: Hirschl
authors.forename: W
authors.initials: W
authors.lastname: Köhler
authors.forename: R
authors.initials: R
authors.lastname: Mischler
authors.forename: J
authors.initials: J
authors.lastname: Möcks
authors.forename: J
authors.initials: J
authors.lastname: Ordóñez-Llanos
authors.forename: O
authors.initials: O
authors.lastname: Quarder
authors.forename: R
authors.initials: R
authors.lastname: Somorjai
authors.forename: A
authors.initials: A
authors.lastname: Staib
authors.forename: C
authors.initials: C
authors.lastname: Sylvén
authors.forename: G
authors.initials: G
authors.lastname: Werner
authors.forename: R
authors.initials: R
authors.lastname: Zerback
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002637:Chest Pain / Q000175:diagnosis* / Q000378:metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012015:Reference Standards; D012680:Sensitivity and Specificity; D013055:Spectrophotometry, Infrared / Q000379:methods* / Q000592:standards; D013997:Time Factors; D014218:Triage / Q000379:methods* / Q000592:standards; D055815:Young Adult