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1.
Crit Care Med ; 38(1): 9-15, 2010 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-19829101

RESUMEN

OBJECTIVE: To evaluate the characteristics and outcomes of patients with cancer admitted to several intensive care units. Knowledge on patients with cancer requiring intensive care is mostly restricted to single-center studies. DESIGN: : Prospective, multicenter, cohort study. SETTING: Intensive care units from 28 hospitals in Brazil. PATIENTS: A total of 717 consecutive patients included over a 2-mo period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 667 (93%) patients with solid tumors and 50 (7%) patients had hematologic malignancies. The main reasons for intensive care unit admission were postoperative care (57%), sepsis (15%), and respiratory failure (10%). Overall hospital mortality rate was 30% and was higher in patients admitted because of medical complications (58%) than in emergency (37%) and scheduled (11%) surgical patients (p < .001). Adjusting for covariates other than the type of admission, the number of hospital days before intensive care unit admission (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01-1.37), higher Sequential Organ Failure Assessment scores (OR, 1.25; 95% CI, 1.17-1.34), poor performance status (OR, 3.40; 95% CI, 2.19 -5.26), the need for mechanical ventilation (OR, 2.42; 95% CI, 1.51-3.87), and active underlying malignancy in recurrence or progression (OR, 2.42; 95% CI, 1.51-3.87) were associated with increased hospital mortality in multivariate analysis. CONCLUSIONS: This large multicenter study reports encouraging survival rates for patients with cancer requiring intensive care. In these patients, mortality was mostly dependent on the severity of organ failures, performance status, and need for mechanical ventilation rather than cancer-related characteristics, such as the type of malignancy or the presence of neutropenia.


Asunto(s)
Cuidados Críticos/estadística & datos numéricos , Mortalidad Hospitalaria/tendencias , Unidades de Cuidados Intensivos/estadística & datos numéricos , Neoplasias/mortalidad , Neoplasias/terapia , Admisión del Paciente/estadística & datos numéricos , Adulto , Anciano , Análisis de Varianza , Brasil , Estudios de Cohortes , Intervalos de Confianza , Femenino , Estudios de Seguimiento , Neoplasias Hematológicas/mortalidad , Neoplasias Hematológicas/patología , Neoplasias Hematológicas/terapia , Humanos , Tiempo de Internación , Modelos Logísticos , Masculino , Persona de Mediana Edad , Análisis Multivariante , Neoplasias/patología , Oportunidad Relativa , Evaluación de Resultado en la Atención de Salud , Probabilidad , Estudios Prospectivos , Análisis de Supervivencia , Resultado del Tratamiento , Adulto Joven
2.
Intensive Care Med ; 36(7): 1188-95, 2010 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-20221751

RESUMEN

OBJECTIVE: The aim of the present study was to validate the Simplified Acute Physiology Score II (SAPS II) and 3 (SAPS 3), the Mortality Probability Models III (MPM(0)-III), and the Cancer Mortality Model (CMM) in patients with cancer admitted to several intensive care units (ICU). DESIGN: Prospective multicenter cohort study. SETTING: Twenty-eight ICUs in Brazil. PATIENTS: Seven hundred and seventeen consecutive patients (solid tumors 93%; hematological malignancies 7%) included over a 2-month period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Discrimination was assessed by area under receiver operating characteristic (AROC) curves and calibration by Hosmer-Lemeshow goodness-of-fit test. The main reasons for ICU admission were postoperative care (57%), sepsis (15%) and respiratory failure (10%). The ICU and hospital mortality rates were 21 and 30%, respectively. When all 717 patients were evaluated, discrimination was superior for both SAPS II (AROC = 0.84) and SAPS 3 (AROC = 0.84) scores compared to CMM (AROC = 0.79) and MPM(0)-III (AROC = 0.71) scores (P < 0.05 in all comparisons). Calibration was better using CMM and the customized equation of SAPS 3 score for South American countries (CSA). MPM(0)-III, SAPS II and standard SAPS 3 scores underestimated mortality (standardized mortality ratio, SMR > 1), while CMM tended to overestimation (SMR = 0.48). However, using the SAPS 3 for CSA resulted in more precise estimations of the probability of death [SMR = 1.02 (95% confidence interval = 0.87-1.19)]. Similar results were observed when scheduled surgical patients were excluded. CONCLUSIONS: In this multicenter study, the customized equation of SAPS 3 score for CSA was found to be accurate in predicting outcomes in cancer patients requiring ICU admission.


Asunto(s)
APACHE , Neoplasias/diagnóstico , Brasil/epidemiología , Femenino , Mortalidad Hospitalaria , Humanos , Unidades de Cuidados Intensivos , Masculino , Persona de Mediana Edad , Neoplasias/mortalidad , Observación , Probabilidad , Pronóstico , Estudios Prospectivos , Curva ROC , Reproducibilidad de los Resultados
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