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Crit Care Med 2002 Sep;30(9):2171
Publication Types:
PMID: 12352075, UI: 22238539
Other Formats:
Crit Care Med 2002 Sep;30(9):2170-1
PMID: 12352074, UI: 22238538
Crit Care Med 2002 Sep;30(9):2149-50
PMID: 12352059, UI: 22238523
Crit Care Med 2002 Sep;30(9):2145-6
PMID: 12352057, UI: 22238521
Crit Care Med 2002 Sep;30(9):1976-82
Department of Anaesthesiology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
OBJECTIVE: Intensive care units (ICUs) use severity-adjusted mortality measures such as the standardized mortality ratio to benchmark their performance. Prognostic scoring systems such as Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score II, and Mortality Probability Model II0 permit performance-based comparisons of ICUs by adjusting for severity of disease and case mix. Whether different risk-adjustment methods agree on the identity of ICU quality outliers within a single database has not been previously investigated. The objective of this study was to determine whether the identity of ICU quality outliers depends on the ICU scoring system used to calculate the standardized mortality ratio. DESIGN, SETTING, PATIENTS: Retrospective cohort study of 16,604 patients from 32 hospitals based on the outcomes database (Project IMPACT) created by the Society of Critical Care Medicine. The ICUs were a mixture of medical, surgical, and mixed medical-surgical ICUs in urban and nonurban settings. Standardized mortality ratios for each ICU were calculated using APACHE II, Simplified Acute Physiology Score II, and Mortality Probability Model II. ICU quality outliers were defined as ICUs whose standardized mortality ratio was statistically different from 1. Kappa analysis was used to determine the extent of agreement between the scoring systems on the identity of hospital quality outliers. The intraclass correlation coefficient was calculated to estimate the reliability of standardized mortality ratios obtained using the three risk-adjustment methods. MEASUREMENTS AND MAIN RESULTS: Kappa analysis showed fair to moderate agreement among the three scoring systems in identifying ICU quality outliers; the intraclass correlation coefficient suggested moderate to substantial agreement between the scoring systems. The majority of ICUs were classified as high-performance ICUs by all three scoring systems. All three scoring systems exhibited good discrimination and poor calibration in this data set. CONCLUSION: APACHE II, Simplified Acute Physiology Score II, and Mortality Probability Model II0 exhibit fair to moderate agreement in identifying quality outliers. However, the finding that most ICUs in this database were judged to be high-performing units limits the usefulness of these models in their present form for benchmarking.
PMID: 12352029, UI: 22238493
Intensive Care Med 2002 Jul;28(7):997
[Medline record in process]
PMID: 12349823, UI: 22237259
Intensive Care Med 2002 Jul;28(7):985-9
Cattedra di Anestesiologia e Rianimazione dell'Universita di Milano, Azienda Ospedaliera--Polo Universitario San Paolo, Milan, Italy. g.iapichino@unimi.it
PMID: 12349820, UI: 22237256
Intensive Care Med 2002 Jun;28(6):804; discussion 803
PMID: 12269240, UI: 22229937
J Trauma 2002 Sep;53(3):407-14
Department of Surgery, University of Maryland School of Medicine, Baltimore, USA.
BACKGROUND: As the population ages, the elderly will constitute a prominent proportion of trauma patients. The elderly suffer more severe consequences from traumatic injuries compared with the young, presumably resulting in increased resource use. In this study, we sought to examine ICU resource use in trauma on the basis of age and injury severity. METHODS: This study was a retrospective review of trauma registry data prospectively collected on 26,237 blunt trauma patients admitted to all trauma centers (n = 26) in one state over 24 months (January 1996-December 1997). Age-dependent and injury severity-dependent differences in mortality, ICU length of stay (LOS), and hospital LOS were evaluated by logistic regression analysis. RESULTS: Elderly (age > or = 65 years, n = 7,117) patients had significantly higher mortality rates than younger (age < 65 years) trauma patients after stratification by Injury Severity Score (ISS), Revised Trauma Score, and other preexisting comorbidities. Age > 65 years was associated with a two- to threefold increased mortality risk in mild (ISS < 15, 3.2% vs. 0.4%; < 0.001), moderate (ISS 15-29, 19.7% vs. 5.4%; < 0.001), and severe traumatic injury (ISS > or = 30, 47.8% vs. 21.7%; < 0.001) compared with patients aged < 65 years. Logistic regression analysis confirmed that elderly patients had a nearly twofold increased mortality risk (odds ratio, 1.87; confidence interval, 1.60-2.18; < 0.001). Elderly patients also had significantly longer hospital LOS after stratifying for severity of injury by ISS (1.9 fewer days in the age 18-45 group, 0.89 fewer days in the age 46-64 group compared with the age > or = 65 group). Mortality rates were higher for men than for women only in the ISS < 15 (4.4% vs. 2.6%, < 0.001) and ISS 15 to 29 (21.7% vs. 17.6%, = 0.031) groups. ICU LOS was significantly decreased in elderly patients with ISS > or = 30. CONCLUSION: Age is confirmed as an independent predictor of outcome (mortality) in trauma after stratification for injury severity in this largest study of elderly trauma patients to date. Elderly patients with severe injury (ISS > 30) have decreased ICU resource use secondary to associated increased mortality rates.
PMID: 12352472, UI: 22239398
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