Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015:2015:157408.
doi: 10.1155/2015/157408. Epub 2015 Aug 2.

Lung Injury Prediction Score Is Useful in Predicting Acute Respiratory Distress Syndrome and Mortality in Surgical Critical Care Patients

Affiliations

Lung Injury Prediction Score Is Useful in Predicting Acute Respiratory Distress Syndrome and Mortality in Surgical Critical Care Patients

Zachary M Bauman et al. Crit Care Res Pract. 2015.

Abstract

Background. Lung injury prediction score (LIPS) is valuable for early recognition of ventilated patients at high risk for developing acute respiratory distress syndrome (ARDS). This study analyzes the value of LIPS in predicting ARDS and mortality among ventilated surgical patients. Methods. IRB approved, prospective observational study including all ventilated patients admitted to the surgical intensive care unit at a single tertiary center over 6 months. ARDS was defined using the Berlin criteria. LIPS were calculated for all patients and analyzed. Logistic regression models evaluated the ability of LIPS to predict development of ARDS and mortality. A receiver operator characteristic (ROC) curve demonstrated the optimal LIPS value to statistically predict development of ARDS. Results. 268 ventilated patients were observed; 141 developed ARDS and 127 did not. The average LIPS for patients who developed ARDS was 8.8 ± 2.8 versus 5.4 ± 2.8 for those who did not (p < 0.001). An ROC area under the curve of 0.79 demonstrates LIPS is statistically powerful for predicting ARDS development. Furthermore, for every 1-unit increase in LIPS, the odds of developing ARDS increase by 1.50 (p < 0.001) and odds of ICU mortality increase by 1.22 (p < 0.001). Conclusion. LIPS is reliable for predicting development of ARDS and predicting mortality in critically ill surgical patients.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Distribution of LIPS for patients with and without the development of ARDS. Distribution of LIPS for patients who develop and do not develop ARDS. Patients with ARDS tend to have higher LIPS values.
Figure 2
Figure 2
ROC curve for LIPS predicting ARDS. The area under the curve is 0.79, demonstrating LIPS is a strong predictor of the development of ARDS. Additionally, by maximizing the sensitivity and specificity, a LIPS value of 7 was determined to be statistically significant for deciding when a patient will be at high risk for developing ARDS.

Similar articles

Cited by

References

    1. Villar J., Slutsky A. S. Is acute respiratory distress syndrome an iatrogenic disease? Critical Care. 2010;14(1, article 120) doi: 10.1186/cc8842. - DOI - PMC - PubMed
    1. Emr B., Gatto L. A., Roy S., et al. Airway pressure release ventilation prevents ventilator-induced lung injury in normal lungs. JAMA Surgery. 2013;148(11):1005–1012. doi: 10.1001/jamasurg.2013.3746. - DOI - PubMed
    1. Gajic O., Dara S. I., Mendez J. L., et al. Ventilator-associated lung injury in patients without acute lung injury at the onset of mechanical ventilation. Critical Care Medicine. 2004;32(9):1817–1824. doi: 10.1097/01.ccm.0000133019.52531.30. - DOI - PubMed
    1. Brower R. G., Matthay M. A., Morris A., Schoenfeld D., Thompson B. T., Wheeler A. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The New England Journal of Medicine. 2000;342(18):1301–1308. doi: 10.1056/nejm200005043421801. - DOI - PubMed
    1. Kor D. J., Warner D. O., Alsara A., et al. Derivation and diagnostic accuracy of the surgical lung injury prediction model. Anesthesiology. 2011;115(1):117–128. doi: 10.1097/aln.0b013e31821b5839. - DOI - PMC - PubMed

LinkOut - more resources