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Evaluation of the usefulness of a new method for predicting the outcome of critical illness in patients admitted to intensive care.

Evaluation of the utility of a new algorithm for the detection of the unmeasured ion excess in the human extracellular fluid for outcome prediction in critically ill intensive care patients.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12617000018314
Acronym
UNA UIX
Enrollment
350
Registered
2017-01-05
Start date
2018-05-12
Completion date
2019-01-25
Last updated
2019-01-07

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

Conditions

None listed

Brief summary

It has been postulated that as a result of critical illness, patients leak particular chemicals from their cells with subsequent movement of these chemicals into the blood stream where they may be detected. Disappearance of these chemicals from the blood has been linked to resolution of the process that triggered the episode of critical illness and ultimately, to recovery of the patient. Currently and with few exceptions, direct measurement of these chemicals is not possible and their effect has to be inferred indirectly as part of another commonly performed measurement - the standard base excess (SBE). The SBE also responds to alterations in the concentrations of the major blood chemicals which are normally present in health. The changes in the normal chemistry of the blood occurs as a result of either the underlying critical illness or the fluids used during resuscitation and unfortunately, they also have a major effect on the SBE, The result is that the SBE becomes more of a general indicator of the presence of critical illness rather than a specific and sensitive predictor. It also can remain abnormal even when the patient has returned to health. A recent method for splitting the SBE into its components that permits the estimation of the specific effect of the unmeasured chemicals has been developed, published and experimentally validated - the Unmeasured Ion eXcess (UIX) algorithm. The utility of this algorithm needs to be formally tested in the clinical environment and it is this requirement that drives the need to conduct an audit that involves mapping the results of the routinely collected daily bloods in a population of critically ill patients to their eventual outcome and length of ICU and hospital stay.

Interventions

Patients admitted to the intensive care unit will have the results from their routine daily blood tests entered into a new algorithm that is used to predict the presence of chemical species not normally seen in the blood of healthy people. The patients will be followed for seven days and their results will be examined for links to outcome which will be assessed by chart review at hospital discharge or death. The algorithm (Unmeasured Ion eXcess - UIX) takes biochemical and acid-base data as its

Patients admitted to the intensive care unit will have the results from their routine daily blood tests entered into a new algorithm that is used to predict the presence of chemical species not normally seen in the blood of healthy people. The patients will be followed for seven days and their results will be examined for links to outcome which will be assessed by chart review at hospital discharge or death. The algorithm (Unmeasured Ion eXcess - UIX) takes biochemical and acid-base data as its input and generates an output reporting the contribution of the input parameters as well as any unmeasured species to the overall acid-base status.

Sponsors

Sunshine Coast University Hospital
Lead SponsorHospital

Eligibility

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

Inclusion criteria

All patients admitted to the ICU during the study period

Exclusion criteria

Patients under the age of 18 years

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026