Articles: critical-illness.
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Critical care medicine · Jan 2004
Multicenter Study Comparative StudyUsing population death rate to predict rate of admissions to the intensive care unit.
To determine whether the intensive care unit (ICU) admission rates of new health plan members can be predicted by the mortality of non-ICU-treated members. ⋯ A single linear equation predicted ICU admission rate from death rate of non-ICU-treated patients among cohorts of new members. ICU admission rates can be predicted from a measure of population illness burden, such as the mortality of non-ICU-treated patients. It may be possible to extend this analysis to other hospitals and health care systems to evaluate the adequacy of ICU services provided.
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Journal of critical care · Dec 2003
Multicenter Study Comparative StudyPrevention of venous thromboembolism in critically ill medical patients: a Franco-Canadian cross-sectional study.
Medical intensive care unit (ICU) patients are at moderate risk of venous thromboembolism (VTE) and prophylaxis against VTE is recommended. ⋯ In this binational cross-sectional observational study of medical ICU patients, we found that 92% of eligible patients received either UFH or LWMH for VTE prophylaxis. Differences in prescribing between countries include significantly greater use of LMWH in France, but use of lower doses than in Canada, and greater use of mechanical VTE prophylaxis in Canada. More randomized trials of VTE prophylaxis in critically ill medical patients would better inform practice.
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Multicenter Study
Constipation and its implications in the critically ill patient.
Motility of the lower gut has been little studied in intensive care patients. ⋯ Constipation has implications for the critically ill.
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Support Care Cancer · Nov 2003
Randomized Controlled Trial Multicenter Study Clinical TrialProbability of mortality of critically ill cancer patients at 72 h of intensive care unit (ICU) management.
To develop and validate a model for probability of hospital mortality for cancer patients at 72 h of intensive care unit (ICU) management. ⋯ We report a multivariable logistic regression model to estimate the probability of hospital mortality in critically ill cancer patients at 72 h of ICU care. The model is comprised of ten unambiguous and readily available variables. When used in conjunction with clinical judgment, this model should improve discussions about goals of care of these patients. Additional validation in a community hospital setting is warranted.
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Outcomes management · Oct 2003
Multicenter StudyExploring outcomes after critical illness in the elderly.
Outcomes for elderly patients after critical illness have been examined predominantly in terms of survival and selected aspects of functional status. The objectives of this study were to explore and compare the impact of intensive care unit treatment on health and functional status outcomes among 196 elderly and middle-age patients. ⋯ Severity of illness, not age, was the best predictor of physical functioning. Despite having more documented discharge planning, elderly patients reported concern about managing their care at home and knowing less about their medications, which have direct implications for care.