Abstract | OBJECTIVE: DATA SOURCES: MEDLINE (inception to January 2012) and personal databases. STUDY SELECTION: DATA EXTRACTION: DATA SYNTHESIS: Fifty-four studies appeared eligible for meta-analysis, together including 3,753 patients. We identified 20 biomarkers for diagnosis of acute respiratory distress syndrome in the at-risk population and 19 biomarkers for mortality of acute respiratory distress syndrome patients. The biomarkers most strongly associated with acute respiratory distress syndrome diagnosis in the at-risk population, when increased, were Krebs von den Lungen-6 (odds ratio [95% CI], 6.1 [3.0-12.1]), lactate dehydrogenase (5.7 [1.7-19.1]), soluble receptor for advanced glycation end products (3.5 [1.7-7.2]), and von Willebrand Factor (3.1 [2.0-5.2]). The biomarkers most strongly associated with acute respiratory distress syndrome mortality, when increased, were interleukin-4 (18.0 [6.0-54.2]), interleukin-2 (11.8 [4.3-32.2]), angiopoietin-2 (6.4 [1.3-30.4]), and Krebs von den Lungen-6 (5.1 [3.0-12.2]). Decreased levels of Protein C were associated with increased odds for acute respiratory distress syndrome diagnosis and mortality. CONCLUSIONS:
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Authors | Matty L Terpstra, Jurjan Aman, Geerten P van Nieuw Amerongen, A B Johan Groeneveld |
Journal | Critical care medicine
(Crit Care Med)
Vol. 42
Issue 3
Pg. 691-700
(Mar 2014)
ISSN: 1530-0293 [Electronic] United States |
PMID | 24158164
(Publication Type: Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't, Review, Systematic Review)
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Chemical References |
- Angiopoietin-2
- Biomarkers
- Interleukin-2
- Interleukins
- Protein C
- Interleukin-4
|
Topics |
- Acute Lung Injury
(blood, mortality, physiopathology)
- Angiopoietin-2
(blood)
- Biomarkers
(blood)
- Critical Illness
- Female
- Hospital Mortality
- Humans
- Interleukin-2
(blood)
- Interleukin-4
(blood)
- Interleukins
(blood)
- Male
- Prognosis
- Protein C
(metabolism)
- Respiratory Distress Syndrome
(blood, mortality, physiopathology)
- Risk Assessment
- Sensitivity and Specificity
- Survival Analysis
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