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Literature DB >> 16865639

[Chronic critical disease--what does the long-term patient imply for intensive medicine].

Jürgen Graf, Uwe Janssens.

Abstract

Entities: Species

Mesh：

Year: 2006 PMID： 16865639 DOI： 10.1007/s00508-006-0628-8

Source DB: PubMed Journal: Wien Klin Wochenschr ISSN： 0043-5325 Impact factor: 1.704

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37 in total

1. Can health care costs be reduced by limiting intensive care at the end of life?

Authors: John M Luce; Gordon D Rubenfeld
Journal: Am J Respir Crit Care Med Date: 2002-03-15 Impact factor: 21.405

2. [Sepsis therapy. A dilemma in times of limited financial resources].

Authors: H Forst
Journal: Anaesthesist Date: 2003-01 Impact factor: 1.041

3. Predicting outcome among intensive care unit patients using computerised trend analysis of daily Apache II scores corrected for organ system failure.

Authors: R W Chang; S Jacobs; B Lee
Journal: Intensive Care Med Date: 1988 Impact factor: 17.440

4. Timing of intensive care unit admission in relation to ICU outcome.

Authors: J Rapoport; D Teres; S Lemeshow; D Harris
Journal: Crit Care Med Date: 1990-11 Impact factor: 7.598

5. Early changes in organ function predict eventual survival in severe sepsis.

Authors: Mitchell M Levy; William L Macias; Jean-Louis Vincent; James A Russell; Eliezer Silva; Benjamin Trzaskoma; Mark D Williams
Journal: Crit Care Med Date: 2005-10 Impact factor: 7.598

6. Variables affecting outcome in critically ill patients.

Authors: B Chernow
Journal: Chest Date: 1999-05 Impact factor: 9.410

7. Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit.

Authors: R Markgraf; G Deutschinoff; L Pientka; T Scholten
Journal: Crit Care Med Date: 2000-01 Impact factor: 7.598

[Chronic critical disease--what does the long-term patient imply for intensive medicine].

1. Can health care costs be reduced by limiting intensive care at the end of life?

2. [Sepsis therapy. A dilemma in times of limited financial resources].

3. Predicting outcome among intensive care unit patients using computerised trend analysis of daily Apache II scores corrected for organ system failure.

4. Timing of intensive care unit admission in relation to ICU outcome.

5. Early changes in organ function predict eventual survival in severe sepsis.

6. Variables affecting outcome in critically ill patients.

7. Comparison of acute physiology and chronic health evaluations II and III and simplified acute physiology score II: a prospective cohort study evaluating these methods to predict outcome in a German interdisciplinary intensive care unit.

Review 8. Intensive care units in the triage mode: an organizational perspective.

9. Interhospital comparisons of patient outcome from intensive care: importance of lead-time bias.

10. [Treatment costs in a medical intensive care unit: a comparison of 1992 and 1997].

1. Catheter-related Leuconostoc bacteremia secondary to pulmonary Mycobacterium xenopi infection.