PREDICTORS OF POOR OUTCOMES IN CRITICALLY ILL PATIENTS WITH HEMATOLOGIC MALIGNANCY
نویسندگان
چکیده
منابع مشابه
Predictors of poor outcomes in critically ill patients with hematologic malignancy
Introduction Patients with hematologic malignancy (HM) often require admission to the intensive care unit (ICU) due to organ failure through disease progression or complications of treatment. Although there have been improvements in the prognosis of patients with HM, mortality in this patient population remains high. We sought to describe patient characteristics and determinants of outcomes in ...
متن کاملPredictors of Poor Outcomes in Critically Ill Adults with Hematologic Malignancy
Background. Patients with hematologic malignancy (HM) often require intensive care unit (ICU) admission due to organ failure through disease progression or treatment-related complications. Objective. To determine mortality and prognostic variables in adult patients with HM who were admitted to ICU. Methods. Structured chart review of all adult patients (age ≥ 18 years) with HM admitted to ICU o...
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New-onset hyperglycemia in patients admitted to intensive care units increases the risk of morbidity and mortality. Insulin resistance is frequently seen in the treatment of stress-induced hyperglycemia. Metformin, an oral anti-hyperglycemic agent, may introduce a new treatment protocol in critically ill patients with insulin-resistance hyperglycemia. Fifty-one non-diabetic traumatized patients...
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New-onset hyperglycemia in patients admitted to intensive care units increases the risk of morbidity and mortality. Insulin resistance is frequently seen in the treatment of stress-induced hyperglycemia. Metformin, an oral anti-hyperglycemic agent, may introduce a new treatment protocol in critically ill patients with insulin-resistance hyperglycemia. Fifty-one non-diabetic traumatized patients...
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BACKGROUND Assessment of a patient's readiness for removal of the endotracheal tube in the ICU is based on respiratory, airway, and neurological measures. However, nearly 20% of patients require reintubation. We created a prediction model for the need for reintubation, which incorporates variables importantly contributing to extubation failure. METHODS This was a cohort study of 2,007 endotra...
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ژورنال
عنوان ژورنال: Intensive Care Medicine Experimental
سال: 2015
ISSN: 2197-425X
DOI: 10.1186/2197-425x-3-s1-a159