Literature DB >> 17619854

Outcomes and prognostic factors in patients with head and neck cancer and severe acute illnesses.

Márcio Soares1, Jorge I F Salluh, Luisa Toscano, Fernando L Dias.   

Abstract

OBJECTIVES: To evaluate the outcomes of patients with head and neck cancer and severe acute illnesses, and to identify characteristics associated with hospital mortality.
DESIGN: Cohort study.
SETTING: Ten-bed medical-surgical oncologic intensive care unit (ICU). PATIENTS: Consecutive patients admitted to the ICU over a 68-month period.
INTERVENTIONS: None. MEASUREMENTS AND
RESULTS: Demographic, clinical and cancer-related data were collected. Multivariate logistic regression analysis was performed to identify predictive factors of hospital mortality. One hundred and twenty-one patients aged 63.3+/-14.7 years were enrolled in the study. The main sites of primary tumor were oral cavity (30%), larynx (25%), pharynx (14%) and thyroid (9%). The main reasons for ICU admission were sepsis (37%) and acute respiratory failure (20%). The mean SAPS II score was 49.6+/-17.8 points, and during ICU stay 100 (83%) patients received mechanical ventilation, 70 (58%), vasopressors, and 12 (10%), dialysis. The ICU, hospital and 6-month mortality rates were 39%, 56% and 72%, respectively. A performance status >or=2 [odds ratio (OR)=5.17 (95% confidence interval, CI=1.84-14.53)], advanced cancer (TNM stage IV) [OR=3.80 (95% CI=1.28-11.28)], and the number of organ failures [OR=2.87 (95% CI=1.83-4.50)] were associated with increased mortality in multivariate analysis.
CONCLUSIONS: In conjunction with clinical judgment and taking into consideration the patient's preferences and values, the knowledge of these outcome predictors may be useful in helping physicians to identify patients who might benefit from the intensive care and to improve discussions on patients' prognosis.

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Mesh:

Year:  2007        PMID: 17619854     DOI: 10.1007/s00134-007-0775-z

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  16 in total

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