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Breath Test for Patients With Acute Liver Disease for Early Detection of the Need for Transplant or Recovery

Breath Test for Patients With Acute Liver Disease for Early Detection of the Need for Transplant or Recovery

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01435421
Enrollment
112
Registered
2011-09-16
Start date
2011-10-31
Completion date
Unknown
Last updated
2011-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Liver Failure

Brief summary

Acute liver failure (ALF) results from an abrupt loss of hepatic metabolic and synthetic function and leads to encephalopathy and potentially multi-organ dysfunction. Aetiologies include autoimmune and metabolic diseases, infectious agents and hepatotoxins. Worldwide, infectious hepatitis (A, B and E) is the most common cause. In Western Europe and the USA, ALF is most frequently caused by paracetamol intoxication. The MBT can produce immediate results to aid in decision making in patients with acute liver disease. Such a test may affect decision-making regarding transplantation in this setting, facilitate appropriate discharge from critical care to other hospital units and to home, provide point of care assessment of therapeutic interventions. The BreathID can potentially help in determining: * Parameter to include patients in transplant list (the UNOS 1A group) * Identification that patient deteriorates and needs extended hospitalization/referral to ICU/change in management * An addition to the MELD and or other scores to estimate risk in other acute patients * Additional information to that of other commonly utilized prognostic scoring systems The primary end-point of the study is to develop a model to predict deterioration of the liver disease, which incorporates measurements from the MBT along with other potential variables. The data collected will be used to develop a prediction model using data-mining methodology (linear and non-linear regression models, binary trees, neural networks, etc…). The predictive models may include measurements from the MBT, blood test results, as single measurements or as trend over time. The model that will be developed, will attempt to predict the disease deterioration vs. recovery accurately, at an earlier time point than the standard procedure. A threshold will then be determinate based on adequate sensitivity and specificity levels.

Interventions

None listed

Sponsors

Hadassah Medical Organization
Lead SponsorOTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Adult men or women (\>18 years of age). 2. Acute Liver insult 3. No evidence of cirrhosis (unless clinical acute Wilsons) 4. INR \> 1.5 5. Duration of illness \< 24 weeks -

Exclusion criteria

1. Patient with any chronic liver disease 2. Patient has severe congestive heart failure 3. Patient has severe pulmonary hypertension 4. Patient has chronic renal insufficiency with severe cardiac disease 5. Patient has previous surgical bypass surgery for morbid obesity 6. Patient has extensive small bowel resection 7. Patient with established extra-hepatic auto-immune disease on long term treatment 8. Patient is a recipient of any organ transplant (within the last 3 months)- Patient with proven or suspected hepatocellular carcinoma 9. Patient is pregnant 10. Patient allergic to paracetamol (such as Tylenol or any other related medications) 11. Patients in whom oral intake is contra-indicated 12. Patient, based on the opinion of the investigator, should not be enrolled into this study 13. Patients or their nominated representative is unwilling to sign informed consent 14. Patients that are participating in other clinical trials evaluating experimental treatments or procedures, not including observatory trials -

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026