16 research outputs found
Breath Ammonia Reduction Ratio (ARR) Measures Dialysis Efficacy
Contemporary evidence supports the centuries old notion that expired breath and the headspaces above body fluids and products can serve
as biomarkers of organ function. Clinical responsiveness to alterations in clinical status or therapy is dependent upon timely, accurate,
relevant physiological data. Current measures of urea and creatinine to assess renal urea reduction are invasive and cannot be repeated
frequently or reported quickly enough to define individual response to treatment in real time. In contrast, breath analysis is minimally
invasive and can provide real time information about low molecular weight volatile organic compounds (VOCs) such as ammonia1,2
Classification Algorithms for SIFT-MS Medical Diagnosis
Selected Ion Flow Tube - Mass Spectrometry (SIFTMS)
is an analytical technique for the real-time quantification
of trace gases in air or breath samples. The SIFT-MS system
can potentially offer unique capability in the early and rapid
detection of a wide variety of diseases, infectious bacteria and
patient conditions, by using a classifier to differentiate between
control and test groups. By identifying which masses and
Volatile Organic Compounds (VOCs) contribute most strongly
towards a successful classification, biomarkers for a particular
disease state may be discovered.
A classification method is presented and validated in a
simple study in which saturated nitrogen in tedlar bags was
differentiated from dry nitrogen in tedlar bags. Several
biomarkers were identified, with the most reliable being
N2H+.H2O, and isotopes and water clusters of H3O+, as
expected. The classifier was then applied in a clinical setting to
differentiate between patient breath samples after one and four
hours of dialysis treatment. Biomarkers for classification were
ammonia, acetaldehyde, ethanol, isoprene and acetone. The
model classifies significantly better than random, with an ROC
area of 0.89
Classifying algorithms for SIFT-MS technology and medical diagnosis
Selected Ion Flow Tube-Mass spectrometry (SIFT-MS) is an analytical technique for realtime quantification of trace gases in air or breath samples. SIFT-MS system thus offers unique potential for early, rapid detection of disease states. Identification of volatile organic
compound (VOC) masses that contribute strongly towards a successful classification clearly highlights potential new biomarkers. A method utilising kernel density estimates is thus presented for classifying unknown samples. It is validated in a simple known case and a
clinical setting before–after dialysis. The simple case with nitrogen in Tedlar bags returned a 100% success rate, as expected. The clinical proof-of-concept with seven tests on one patient had an ROC curve area of 0.89. These results validate the method presented and illustrate the emerging clinical potential of this technology
Postponing Early intrauterine Transfusion with Intravenous immunoglobulin Treatment; the PETIT study on severe hemolytic disease of the fetus and newborn
Research into fetal development and medicin