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Timing and Intensity of the Exposures and Attributable Burden of Acute Lung Injury (LIPS)

This study is currently recruiting participants. (see Contacts and Locations)
Verified November 2014 by Mayo Clinic
Sponsor:
Information provided by (Responsible Party):
Ognjen Gajic, Mayo Clinic
ClinicalTrials.gov Identifier:
NCT00980915
First received: April 30, 2009
Last updated: November 17, 2014
Last verified: November 2014

April 30, 2009
November 17, 2014
December 2008
December 2017   (final data collection date for primary outcome measure)
Development of ALI [ Time Frame: During the hospital stay (before discharge and maximum of 30 days) ] [ Designated as safety issue: No ]
Same as current
Complete list of historical versions of study NCT00980915 on ClinicalTrials.gov Archive Site
Quality adjusted survival [ Time Frame: 6 months ] [ Designated as safety issue: No ]
Same as current
Not Provided
Not Provided
 
Timing and Intensity of the Exposures and Attributable Burden of Acute Lung Injury
Identifying Patients at Risk of Developing Acute Lung Injury at the Time of Hospital Admission:Toward the Prevention of Acute Lung Injury (ALI)

The purpose of the study is to identify the patients at high risk of developing Acute Lung Injury (ALI) at the time of hospital admission, and before intensive care unit admission.

Aim 1- To validate the prediction model (Lung Injury Prediction Score) in a population based sample of hospitalized patients.

Aim 2- To determine the significance of health-care related ALI risk modifiers in a population based sample.

Aim 3- To compare the short and long term outcomes between patients at high risk who do, and do not develop ALI.

Acute lung injury (ALI) is an example of a critical care syndrome with limited treatment options once the condition is fully established.Not surprisingly, many treatments targeting the mechanisms identified in preclinical studies have failed to improve patient outcomes.The most likely reason could be due to inadequate and delayed recognition of patients at risk and the subsequent development of the full blown syndrome.ALI/ARDS usually develops during the first hours of ICU admission, and often is the very reason for ICU admission.

Clinical prediction models have been extensively used in the clinical practice to identify patients at high risks who may benefit from specific interventions. However, no such tool exists to predict the development of ALI in patients at risk. We have recently developed an ALI prediction model (Lung Injury Prediction Score:LIPS)which incorporates demographic, environmental and clinical characteristics at the time of, and before, hospital admission. If validated, this model will serve to find the population of patients at high risk of ALI in whom future prevention trials will be conducted. By determining not only patients at high risk but also the attributable burden of ALI/ARDS in contemporary cohorts of patients at risk, our findings will facilitate the prioritization of preventive strategies and future clinical trials.

Observational
Observational Model: Cohort
Time Perspective: Prospective
Not Provided
Retention:   Samples With DNA
Description:

We will collect time sensitive peripheral blood samples for collaborative genome-wide association, gene expression, cytokines and proteonomic studies. Blood samples of the enrolled patients will be collected as baseline, after 24, 48 hours and at the time of development of ARDS.

Non-Probability Sample

Olmsted County residents more than 18 years of age who were admitted to the two Mayo Clinic Rochester hospitals.

  • Acute Lung Injury
  • Acute Respiratory Distress Syndrome
Not Provided
At risk for Acute Lung Injury

Controls-High risk patients at risk of Acute Lung Injury(ALI) but do not develop ALI

Cases-High risk patients that do develop Acute Lung Injury

Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
1800
December 2017
December 2017   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • All Olmsted County residents more than 18 years of age who were admitted to the two Mayo Clinic Rochester hospitals

Exclusion Criteria:

  • Denied the use of medical records for research
  • Acute lung injury or pulmonary edema already present at the time of hospital admission
  • Admitted for comfort or hospice care only
  • Children
  • Hospital readmission
  • Patients admitted for cardiac telemetry, coronary care unit, low risk elective surgeries, labor and delivery
Both
18 Years and older
No
Contact: Ognjen Gajic, M.D. 507-255-6051 gajic.ognjen@mayo.edu
United States
 
NCT00980915
08-003560, LIPSSTUDY
Yes
Ognjen Gajic, Mayo Clinic
Mayo Clinic
Not Provided
Principal Investigator: Ognjen Gajic, M.D. Mayo Clinic
Mayo Clinic
November 2014

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP