Article
Is ED disposition associated with intracerebral hemorrhage mortality?
UC Neuroscience Institute, Cincinnati, OH 45267, USA.
The American journal of emergency medicine (impact factor:
1.54).
05/2011;
29(4):391-5.
DOI:10.1016/j.ajem.2009.10.016
Source: PubMed
- Citations (8)
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Cited In (0)
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Article: Length of stay and mortality in neurocritically ill patients: impact of a specialized neurocritical care team.
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ABSTRACT: To determine predictors of in-hospital and long-term mortality and length of stay in patients admitted to the neurosciences critical care unit. Retrospective analysis of a prospectively collected database. Neurosciences critical care unit of a large academic tertiary care hospital. Adult patients (n = 2381) admitted to our neurosciences critical care unit from January 1997 to April 2000. Introduction of a specialized neurocritical care team. Data obtained from the database included demographics, admission source, length of stay, neurosciences critical care unit and hospital disposition, admission Acute Physiology and Chronic Health Evaluation (APACHE) III score, and principal and secondary diagnoses. The introduction of a neurocritical care team in September 1998 was also collected, as was death at 1 yr after admission. Univariate analysis was carried out using Student's t-test, Mann-Whitney U test, or chi-square test (significance, p < .05). A logistic regression model was used to create a prediction model for in-hospital and long-term mortality. A general linear model was used to determine predictors of length of stay (after log transformation). Independent predictors of in-hospital mortality included APACHE III (odds ratio, 1.07 [1.06-1.08]) and admission from another intensive care unit (odds ratio, 2.9 [1.4-6.2]). The presence of a neurocritical care team was an independent predictor of decreased mortality (odds ratio, 0.7 [0.5-1.0], p = .044). Admission after the neurocritical care team was implemented was associated with reduced length of stay in both the neurosciences critical care unit (4.2 +/- 4.0 vs. 3.7 +/- 3.4, p < .001) and the hospital (9.9 +/- 8.0 vs. 8.4 +/- 6.9, p < .0001). There was no difference in readmission rates to the intensive care unit or discharge disposition to home before and after the neurocritical care team was established. The availability of the neurocritical care team was not associated with significant changes in long-term mortality. Factors independently associated with long-term mortality included female gender, admission from another intensive care unit, APACHE III score, and being moderately disabled before admission. Introduction of a neurocritical care team, including a full-time neurointensivist who coordinated care, was associated with significantly reduced in-hospital mortality and length of stay without changes in readmission rates or long-term mortality.Critical Care Medicine 11/2004; 32(11):2311-7. · 6.33 Impact Factor -
Article: The ABCs of measuring intracerebral hemorrhage volumes.
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ABSTRACT: Hemorrhage volume is a powerful predictor of 30-day mortality after spontaneous intracerebral hemorrhage (ICH). We compared a bedside method of measuring CT ICH volume with measurements made by computer-assisted planimetric image analysis. The formula ABC/2 was used, where A is the greatest hemorrhage diameter by CT, B is the diameter 90 degrees to A, and C is the approximate number of CT slices with hemorrhage multiplied by the slice thickness. The ICH volumes for 118 patients were evaluated in a mean of 38 seconds and correlated with planimetric measurements (R2 = 9.6). Interrater and intrarater reliability were excellent, with an intraclass correlation of .99 for both. We conclude that ICH volume can be accurately estimated in less than 1 minute with the simple formula ABC/2.Stroke 09/1996; 27(8):1304-5. · 5.73 Impact Factor -
Article: Withdrawal of support in intracerebral hemorrhage may lead to self-fulfilling prophecies.
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ABSTRACT: Withdrawal of support in patients with severe brain injury invariably leads to death. Preconceived notions about futility of care in patients with intracerebral hemorrhage (ICH) may prompt withdrawal of support, and modeling outcome in patient populations in whom withdrawal of support occurs may lead to self-fulfilling prophecies. Subjects included consecutive patients with supratentorial ICH. Radiographic characteristics of the hemorrhage, clinical variables, and neurologic outcome were assessed. Attitudes about futility of care were examined among members of the departments of neurology and neurologic surgery through a written survey and case presentations. There were 87 patients with supratentorial ICH; overall mortality was 34.5% (30/87). Mortality was 66.7% (18/27) in patients with Glasgow Coma Score < or = 8 and ICH volume > 60 cm(3). Medical support was withdrawn in 76.7% (23/30) of patients who died. Inclusion of a variable to account for the withdrawal of support in a model predicting outcome negated the predictive value of all other variables. Patients undergoing surgical decompression were unlikely to have support withdrawn, and surgery was less likely to be performed in older patients (p < 0.01) and patients with left hemispheric hemorrhage (p = 0.04). Survey results suggested that practitioners tend to be overly pessimistic in prognosticating outcome based upon data available at the time of presentation. The most important prognostic variable in determining outcome after ICH is the level of medical support provided. Withdrawal of support in patients felt likely to have a "poor outcome" biases predictive models and leads to self-fulfilling prophecies. Our data show that individual patients in traditionally "poor outcome" categories can have a reasonable neurologic outcome when treated aggressively.Neurology 04/2001; 56(6):766-72. · 8.31 Impact Factor
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Keywords
205 ICH patients
95% confidence interval
Adult patients
higher 30-day mortality
higher mortality
ICH Grading Scale
ICH mortality
ICH patients
ICH Score
ICH-GS overestimated mortality
intracerebral hemorrhage
Intracerebral hemorrhage score
Logistic regression
lower ICH mortality
multivariate regression
nontransferred patients
nontraumatic ICH
short-term mortality predictors
tertiary care centers
tertiary centers