The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Early Identification of Patients at Risk of Acute Lung Injury: Evaluation of Lung Injury Prediction Score in a Multicenter Cohort Study
Open accessAbstract
RATIONALE: Accurate, early identification of patients at risk for developing acute lung injury (ALI) provides the opportunity to test and implement secondary prevention strategies. OBJECTIVES: To determine the frequency and outcome of ALI development in patients at risk and validate a lung injury prediction score (LIPS). METHODS: In this prospective multicenter observational cohort study, predisposing conditions and risk modifiers predictive of ALI development were identified from routine clinical data available during initial evaluation. The discrimination of the model was assessed with area under receiver operating curve (AUC). The risk of death from ALI was determined after adjustment for severity of illness and predisposing conditions. MEASUREMENTS AND MAIN RESULTS: Twenty-two hospitals enrolled 5,584 patients at risk. ALI developed a median of 2 (interquartile range 1-4) days after initial evaluation in 377 (6.8%; 148 ALI-only, 229 adult respiratory distress syndrome) patients. The frequency of ALI varied according to predisposing conditions (from 3% in pancreatitis to 26% after smoke inhalation). LIPS discriminated patients who developed ALI from those who did not with an AUC of 0.80 (95% confidence interval, 0.78-0.82). When adjusted for severity of illness and predisposing conditions, development of ALI increased the risk of in-hospital death (odds ratio, 4.1; 95% confidence interval, 2.9-5.7). CONCLUSIONS: ALI occurrence varies according to predisposing conditions and carries an independently poor prognosis. Using routinely available clinical data, LIPS identifies patients at high risk for ALI early in the course of their illness. This model will alert clinicians about the risk of ALI and facilitate testing and implementation of ALI prevention strategies. Clinical trial registered with www.clinicaltrials.gov (NCT00889772).
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Cites
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A Prediction Rule to Identify Low-Risk Patients with Community-Acquired Pneumonia
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Cited by
Acute respiratory distress syndrome
Matthay, M. A., Zemans, R. L., Zimmerman, G. A., Arabi, Y. M., Beitler, J. R., Mercat, A., Herridge, M., Randolph, A. G., & Calfee, C. S. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0069-0 · Cited by 2,387
The acute respiratory distress syndrome
Matthay, M. A., Ware, L. B., & Zimmerman, G. A. (2012) · Journal of Clinical Investigation · doi:10.1172/jci60331 · Cited by 1,706
The Berlin definition of ARDS: an expanded rationale, justification, and supplementary material
Ferguson, N. D., Fan, E., Camporota, L., Antonelli, M., Anzueto, A., Beale, R., Brochard, L., Brower, R., Esteban, A., Gattinoni, L., et al. (2012) · Intensive Care Medicine · doi:10.1007/s00134-012-2682-1 · Cited by 1,443
Acute Lung Injury: A Clinical and Molecular Review
Butt, Y., Kurdowska, A., & Allen, T. C. (2016) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2015-0519-ra · Cited by 894
A targeted real-time early warning score (TREWScore) for septic shock.
Henry, K. E., Hager, D. N., Pronovost, P. J., & Saria, S. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aab3719 · Cited by 598
Metadata
- Authors
- Gajic, O., Dabbagh, O., Park, P. K., Adesanya, A., Chang, S. Y., Hou, P., Anderson, H., Hoth, J. J., Mikkelsen, M. E., Gentile, N. T., Gong, M. N., Talmor, D., Bajwa, E., Watkins, T. R., Festic, E., Yilmaz, M., Iscimen, R., Kaufman, D. A., Esper, A. M., Sadikot, R., Douglas, I., & Sevransky, J.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-02-15
- Volume
- 183
- Issue
- 4
- Pages
- 462-470
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2056193118
- Cited by
- 592
- References
- 52
- FWCI
- 23.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Gajic, O., Dabbagh, O., Park, P. K., Adesanya, A., Chang, S. Y., Hou, P., Anderson, H., Hoth, J. J., Mikkelsen, M. E., Gentile, N. T., Gong, M. N., Talmor, D., Bajwa, E., Watkins, T. R., Festic, E., Yilmaz, M., Iscimen, R., Kaufman, D. A., Esper, A. M., . . . Sevransky, J. (2011). Early Identification of Patients at Risk of Acute Lung Injury: Evaluation of Lung Injury Prediction Score in a Multicenter Cohort Study. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201004-0549oc
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
