Literature DB >> 1617991

Outcome in critical care patients: a multivariate study.

V A Ferraris1, M E Propp.   

Abstract

OBJECTIVE: To identify patient variables that were significantly associated with outcome in the ICU.
DESIGN: Retrospective chart study of ICU patients.
SETTING: Letterman Army Medical Center, Presidio of San Francisco. PATIENTS: A total of 110 consecutive patients who remained in the ICU for greater than 72 hrs.
METHODS: Univariate analysis of 26 input variables, representing physiologic status and chronic health assessment at the time of ICU admission of the patients, and adverse events that occurred during their ICU stay. The dependent variable assessed was the outcome of patients after ICU intervention. A bad outcome included patient mortality or discharge from the ICU in worse condition or in a chronic vegetative condition. Five selected input variables were used in a multivariate logistic regression analysis to identify independent predictors of a successful outcome.
RESULTS: Univariate statistical techniques comparing the values of 26 input variables of patients who improved during their ICU stay (46 patients) with those values of patients who did not improve (52 deaths and 12 unimproved patients) indicated that the following nine variables were significantly different in these two groups: a) age (p = .04), b) acute physiologic score (p = .047), c) Acute Physiology and Chronic Health Evaluation (APACHE II) score (p = .040), d) the number of repeat ICU admissions during a given hospitalization (p = .019), e) development of respiratory complications while in the ICU (p = .033), f) sepsis developing while in the ICU (p = .0001), g) renal failure developing while in the ICU (p less than .0001), h) disseminated intravascular coagulation while in the ICU (p = .0028), and i) the occurrence of any iatrogenic complication while in the ICU (p less than .0001). Five of these nine variables were used in a stepwise logistic regression analysis to develop a model to predict ICU outcome. This model showed the following three variables to be significantly associated with unfavorable ICU outcome: a) occurrence of any iatrogenic event while in the ICU (p less than .001), b) development of renal failure in the ICU (p = .001), and c) occurrence of sepsis while in the ICU (p = .042). A common iatrogenic complication associated with unfavorable ICU outcome was related to drug therapy (frequently aminoglycoside toxicity). Twenty-one iatrogenic drug complications occurred in 64 patients who did not improve in the ICU, whereas only three iatrogenic drug complications occurred in 46 patients who improved (p less than .001).
CONCLUSIONS: For patients who remain in the ICU for greater than 72 hrs, events occurring after ICU admission are negatively associated with ICU outcome, more so than ICU admission status as reflected by such indices as APACHE II scores. Iatrogenic complications, often due to inappropriate drug therapy, have a significant association with adverse outcome by multivariate analysis. We suggest that iatrogenic complications influence ICU outcome, and that they are potentially preventable. By lessening their frequency, ICU outcome may be improved.

Entities:  

Mesh:

Year:  1992        PMID: 1617991     DOI: 10.1097/00003246-199207000-00012

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  6 in total

1.  Complications of care in a pediatric intensive care unit: a prospective study.

Authors:  J J Stambouly; L L McLaughlin; F S Mandel; R A Boxer
Journal:  Intensive Care Med       Date:  1996-10       Impact factor: 17.440

2.  Daily estimation of the severity of multiple organ dysfunction syndrome in critically ill children.

Authors:  Stéphane Leteurtre; Alain Duhamel; Bruno Grandbastien; François Proulx; Jacques Cotting; Ronald Gottesman; Ari Joffe; Bendicht Wagner; Philippe Hubert; Alain Martinot; Jacques Lacroix; Francis Leclerc
Journal:  CMAJ       Date:  2010-06-14       Impact factor: 8.262

3.  Outlier-based detection of unusual patient-management actions: An ICU study.

Authors:  Milos Hauskrecht; Iyad Batal; Charmgil Hong; Quang Nguyen; Gregory F Cooper; Shyam Visweswaran; Gilles Clermont
Journal:  J Biomed Inform       Date:  2016-10-05       Impact factor: 6.317

4.  Adverse events occurring during interhospital transfer of the critically ill.

Authors:  P W Barry; C Ralston
Journal:  Arch Dis Child       Date:  1994-07       Impact factor: 3.791

5.  Interventions to decrease tube, line, and drain removals in intensive care units: the FRATER study.

Authors:  Silvia Calvino Günther; Carole Schwebel; Aurélien Vésin; Judith Remy; Geraldine Dessertaine; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2009-06-26       Impact factor: 17.440

6.  Daily estimation of the severity of organ dysfunctions in critically ill children by using the PELOD-2 score.

Authors:  Stéphane Leteurtre; Alain Duhamel; Valérie Deken; Jacques Lacroix; Francis Leclerc
Journal:  Crit Care       Date:  2015-09-15       Impact factor: 9.097

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.