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Are intensive cares worthwhile for breast cancer patients: the experience of an oncological ICU.

Authors :
Virginie Destrebecq
Thierry Berghmans
Ameye Lieveke
Marianne Paesmans
Jean-Paul Sculier
Anne-Pascale Meert
Source :
Frontiers in Medicine, Vol 3 (2016)
Publication Year :
2016
Publisher :
Frontiers Media S.A., 2016.

Abstract

Purpose: One among seven women will present with breast cancer for which major therapeutic advances led to a significant increase in survival and cure rates. During or after cancer treatment, severe complications may occur requiring admission in intensive care unit (ICU). Intensivists could be reluctant for accepting cancer patients in the ICU and there are very few data about causes of admission and prognosis of patients with breast cancer admitted in the ICU for an acute complication. Our study seeks to determine, in a population of patients with breast cancer, the main causes for ICU admission and the predictors of death during hospital stay and prognostic factors for survival after hospital discharge.Methods: This retrospective study includes all unplanned ICU admissions of patients with breast cancer in a cancer hospital from January 1, 2009 to December 31, 2014. To search for predictive factors of death during hospitalization, Mann-Whitney or Fisher Exact (or chi-square) tests were used. A logistic regression model was applied for multivariate analysis. Multivariate analysis of prognostic factors for survival after hospital discharge was performed with a Cox’s proportional hazards model. Results: Of 1586 ICU admissions during the study period, 282 (18%) concerned breast cancer of which 175 met the inclusion criteria. The main causes of admission were of cardiovascular (26%), respiratory (19%), neurologic (19%) or infectious (14%) origin. ICU death rate was 15% and, overall, 28% of the patients died during hospitalization. The median survival time after hospitalization was 12.8 months (95% CI: 8.2-20.7). Independent predictors of death during hospitalization were the Sequential Organ Failure Assessment (SOFA) score (OR 1.36, 95% CI 1.15-1.60), high GPT values (OR 3.70, 95% CI: 1.52-9.03) and cardiovascular disease (OR 0.23, 95% CI: 0.06-0.86). Independent predictors of death after hospital discharge were metastatic disease (HR 7.90, 95% CI 3.69-16.92), high GOT value (HR 3.22 95% CI: 1.93-5.36), SAPS (HR 1.95 95% CI: 1.21-3.16) and therapeutic limitations during the first 24 hours after ICU admission. (HR 8.52 95% CI: 3.66-19.87). Conclusion: predictors of death during hospitalization were related to the acute complications while cancer parameters retained their prognostic significance for survival after discharge.

Details

Language :
English
ISSN :
2296858X
Volume :
3
Database :
Directory of Open Access Journals
Journal :
Frontiers in Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.6479fc70f2a54b1b9a41f4c34faa62e0
Document Type :
article
Full Text :
https://doi.org/10.3389/fmed.2016.00050