Summary of Study ST000588

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000430. The data can be accessed directly via it's Project DOI: 10.21228/M8GC82 This work is supported by NIH grant, U2C- DK119886.

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Study ID	ST000588
Study Title	Metabolomics of Saliva in Decompensated Heart Failure
Study Summary	The aim of the study was to test weather characteristic differences or changes in metabolic profile exist between exhaled breath condensate (EBC) and saliva of healthy individuals and heart failure patients. Salival NMR profiling was performed.
Institute	Mayo Clinic
Department	Cardiovascular Diseases
Laboratory	Mayo Metabolomics Core
Last Name	Johnson
First Name	Bruce
Address	200 First Street SW, Rochester, MN 55905
Email	johnson.bruce@mayo.edu
Phone	507-284-4441
Submit Date	2017-04-07
Analysis Type Detail	NMR
Release Date	2019-05-15
Release Version	1

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Treatment:

Treatment ID:	TR000625
Treatment Summary:	We will focus initially on patients with classic systolic HF who are admitted to St Mary’s Hospital with decompensated disease. These patients are currently being studied to quantify changes in lung water during the “recompensation” diuresis in the hospital and the related changes in alveolar gas conductance and breathing pattern to develop a predictive algorithm for likelihood of readmission, but also to obtain a better understanding of fluid regulation in the lungs. As these subjects are recruited, we will recruit age and sex matched stable HF patients going through similar testing in parallel running studies as well as age and sex matched control subjects. We will target 12 subjects per group and in addition to the EBC collection we will obtain saliva samples and blood at the same time points.

Treatment ID:

TR000625

Treatment Summary:

We will focus initially on patients with classic systolic HF who are admitted to St Mary’s Hospital with decompensated disease. These patients are currently being studied to quantify changes in lung water during the “recompensation” diuresis in the hospital and the related changes in alveolar gas conductance and breathing pattern to develop a predictive algorithm for likelihood of readmission, but also to obtain a better understanding of fluid regulation in the lungs. As these subjects are recruited, we will recruit age and sex matched stable HF patients going through similar testing in parallel running studies as well as age and sex matched control subjects. We will target 12 subjects per group and in addition to the EBC collection we will obtain saliva samples and blood at the same time points.