The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Hypoalbuminemia in Acute Illness: Is There a Rationale for Intervention?: A Meta-Analysis of Cohort Studies and Controlled Trials
Open accessAbstract
OBJECTIVE: To determine whether hypoalbuminemia is an independent risk factor for poor outcome in the acutely ill, and to assess the potential of exogenous albumin administration for improving outcomes in hypoalbuminemic patients. SUMMARY BACKGROUND DATA: Hypoalbuminemia is associated with poor outcomes in acutely ill patients, but whether this association is causal has remained unclear. Trials investigating albumin therapy to correct hypoalbuminemia have proven inconclusive. METHODS: A meta-analysis was conducted of 90 cohort studies with 291,433 total patients evaluating hypoalbuminemia as an outcome predictor by multivariate analysis and, separately, of nine prospective controlled trials with 535 total patients on correcting hypoalbuminemia. RESULTS: Hypoalbuminemia was a potent, dose-dependent independent predictor of poor outcome. Each 10-g/L decline in serum albumin concentration significantly raised the odds of mortality by 137%, morbidity by 89%, prolonged intensive care unit and hospital stay respectively by 28% and 71%, and increased resource utilization by 66%. The association between hypoalbuminemia and poor outcome appeared to be independent of both nutritional status and inflammation. Analysis of dose-dependency in controlled trials of albumin therapy suggested that complication rates may be reduced when the serum albumin level attained during albumin administration exceeds 30 g/L. CONCLUSIONS: Hypoalbuminemia is strongly associated with poor clinical outcomes. Further well-designed trials are needed to characterize the effects of albumin therapy in hypoalbuminemic patients. In the interim, there is no compelling basis to withhold albumin therapy if it is judged clinically appropriate.
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Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis
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The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis
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QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1
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“When P values were the only measures of precision reported, the test-based CI was calculated.(14) For cohort studies we employed the META computer program(16) to calculate pooled estimates of OR and CI and evaluate heterogeneity.”
MethodWilkes, M. M., & Navickis, R. J. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-135-3-200108070-00007 · Cited by 486
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Lew, C. C. H., Yandell, R., Fraser, R. J. L., Chua, A. P., Chong, M. F. F., & Miller, M. (2017) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607115625638 · Cited by 539
C-Reactive Protein/Albumin Ratio Predicts 90-Day Mortality of Septic Patients
Ranzani, O. T., Zampieri, F. G., Forte, D. N., Azevedo, L. C. P., & Park, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059321 · Cited by 466
Dubois, M.-J., Orellana-Jimenez, C., Melot, C., De Backer, D., Berre, J., Leeman, M., Brimioulle, S., Appoloni, O., Creteur, J., & Vincent, J.-L. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000239119.57544.0c · Cited by 323
Self-citationCombinations of biomarkers predictive of later life mortality
Gruenewald, T. L., Seeman, T. E., Ryff, C. D., Karlamangla, A. S., & Singer, B. H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606215103 · Cited by 242
Hospital length of stay and nutritional status
Kyle, U. G., Genton, L., & Pichard, C. (2005) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/01.mco.0000172579.94513.db · Cited by 201
Metadata
- Authors
- Vincent, J.-L., Dubois, M.-J., Navickis, R. J., & Wilkes, M. M.
- Venue
- Annals of Surgery
- Published
- 2003-03
- Volume
- 237
- Issue
- 3
- Pages
- 319-334
- ISSN
- 0003-4932 (ISSN-L)
- OpenAlex
- W2007496527
- Cited by
- 692
- References
- 5
- FWCI
- 10.99
- Type
- journal article
- Language
- en
- Open access
- green
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