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1.
Crit Care Med ; 38(1): 9-15, 2010 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-19829101

RESUMO

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.


Assuntos
Cuidados Críticos/estatística & dados numéricos , Mortalidade Hospitalar/tendências , Unidades de Terapia Intensiva/estatística & dados numéricos , Neoplasias/mortalidade , Neoplasias/terapia , Admissão do Paciente/estatística & dados numéricos , Adulto , Idoso , Análise de Variância , Brasil , Estudos de Coortes , Intervalos de Confiança , Feminino , Seguimentos , Neoplasias Hematológicas/mortalidade , Neoplasias Hematológicas/patologia , Neoplasias Hematológicas/terapia , Humanos , Tempo de Internação , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Neoplasias/patologia , Razão de Chances , Avaliação de Resultados em Cuidados de Saúde , Probabilidade , Estudos Prospectivos , Análise de Sobrevida , Resultado do Tratamento , Adulto Jovem
2.
Crit Care ; 14(6): R210, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-21092264

RESUMO

INTRODUCTION: Delirium is a frequent source of morbidity in intensive care units (ICUs). Most data on its epidemiology is from single-center studies. Our aim was to conduct a multicenter study to evaluate the epidemiology of delirium in the ICU. METHODS: A 1-day point-prevalence study was undertaken in 104 ICUs from 11 countries in South and North America and Spain. RESULTS: In total, 975 patients were screened, and 497 fulfilled inclusion criteria and were enrolled (median age, 62 years; 52.5% men; 16.7% and 19.9% for ICU and hospital mortality); 64% were admitted to the ICU because of medical causes, and sepsis was the main diagnosis (n = 76; 15.3%). In total, 265 patients were sedated with the Richmond agitation and sedation scale (RASS) deeper than -3, and only 232 (46.6%) patients could be evaluated with the confusion-assessment method for the ICU. The prevalence of delirium was 32.3%. Compared with patients without delirium, those with the diagnosis of delirium had a greater severity of illness at admission, demonstrated by higher sequential organ-failure assessment (SOFA (P = 0.004)) and simplified acute physiology score 3 (SAPS3) scores (P < 0.0001). Delirium was associated with increased ICU (20% versus 5.7%; P = 0.002) and hospital mortality (24 versus 8.3%; P = 0.0017), and longer ICU (P < 0.0001) and hospital length of stay (LOS) (22 (11 to 40) versus 7 (4 to 18) days; P < 0.0001). Previous use of midazolam (P = 0.009) was more frequent in patients with delirium. On multivariate analysis, delirium was independently associated with increased ICU mortality (OR = 3.14 (1.26 to 7.86); CI, 95%) and hospital mortality (OR = 2.5 (1.1 to 5.7); CI, 95%). CONCLUSIONS: In this 1-day international study, delirium was frequent and associated with increased mortality and ICU LOS. The main modifiable risk factors associated with the diagnosis of delirium were the use of invasive devices and sedatives (midazolam).


Assuntos
Cuidados Críticos/tendências , Delírio/diagnóstico , Delírio/epidemiologia , Internacionalidade , Idoso , Feminino , Humanos , Unidades de Terapia Intensiva/tendências , Tempo de Internação/tendências , Masculino , Pessoa de Meia-Idade , América do Norte/epidemiologia , Fatores de Risco , América do Sul/epidemiologia , Espanha/epidemiologia
3.
PLoS One ; 11(10): e0164537, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27764143

RESUMO

INTRODUCTION: Cancer patients are at risk for severe complications related to the underlying malignancy or its treatment and, therefore, usually require admission to intensive care units (ICU). Here, we evaluated the clinical characteristics and outcomes in this subgroup of patients. MATERIALS AND METHODS: Secondary analysis of two prospective cohorts of cancer patients admitted to ICUs. We used multivariable logistic regression to identify variables associated with hospital mortality. RESULTS: Out of 2,028 patients, 456 (23%) had cancer-related complications. Compared to those without cancer-related complications, they more frequently had worse performance status (PS) (57% vs 36% with PS≥2), active malignancy (95% vs 58%), need for vasopressors (45% vs 34%), mechanical ventilation (70% vs 51%) and dialysis (12% vs 8%) (P<0.001 for all analyses). ICU (47% vs. 27%) and hospital (63% vs. 38%) mortality rates were also higher in patients with cancer-related complications (P<0.001). Chemo/radiation therapy-induced toxicity (6%), venous thromboembolism (5%), respiratory failure (4%), gastrointestinal involvement (3%) and vena cava syndrome (VCS) (2%) were the most frequent cancer-related complications. In multivariable analysis, the presence of cancer-related complications per se was not associated with mortality [odds ratio (OR) = 1.25 (95% confidence interval, 0.94-1.66), P = 0.131]. However, among the individual cancer-related complications, VCS [OR = 3.79 (1.11-12.92), P = 0.033], gastrointestinal involvement [OR = 3.05 (1.57-5.91), P = <0.001] and respiratory failure [OR = 1.96(1.04-3.71), P = 0.038] were independently associated with in-hospital mortality. CONCLUSIONS: The prognostic impact of cancer-related complications was variable. Although some complications were associated with worse outcomes, the presence of an acute cancer-related complication per se should not guide decisions to admit a patient to ICU.


Assuntos
Estado Terminal , Neoplasias/patologia , Idoso , Antineoplásicos/efeitos adversos , Antineoplásicos/uso terapêutico , Feminino , Gastroenteropatias/complicações , Doenças Hematológicas/etiologia , Mortalidade Hospitalar , Humanos , Unidades de Terapia Intensiva , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Neoplasias/complicações , Neoplasias/tratamento farmacológico , Neoplasias/mortalidade , Razão de Chances , Prognóstico , Estudos Prospectivos , Diálise Renal , Respiração Artificial , Insuficiência Respiratória/complicações , Tromboembolia Venosa/complicações
4.
Chest ; 146(2): 257-266, 2014 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-24480886

RESUMO

BACKGROUND: This study was undertaken to evaluate the clinical characteristics and outcomes of patients with cancer requiring nonpalliative ventilatory support. METHODS: This was a secondary analysis of a prospective cohort study conducted in 28 Brazilian ICUs evaluating adult patients with cancer requiring invasive mechanical ventilation (MV) or noninvasive ventilation (NIV) during the first 48 h of their ICU stay. We used logistic regression to identify the variables associated with hospital mortality. RESULTS: Of 717 patients, 263 (37%) (solid tumors = 227; hematologic malignancies = 36) received ventilatory support. NIV was initially used in 85 patients (32%), and 178 (68%) received MV. Additionally, NIV followed by MV occurred in 45 patients (53%). Hospital mortality rates were 67% in all patients, 40% in patients receiving NIV only, 69% when NIV was followed by MV, and 73% in patients receiving MV only (P < .001). Adjusting for the type of admission, newly diagnosed malignancy (OR, 3.59; 95% CI, 1.28-10.10), recurrent or progressive malignancy (OR, 3.67; 95% CI, 1.25-10.81), tumoral airway involvement (OR, 4.04; 95% CI, 1.30-12.56), performance status (PS) 2 to 4 (OR, 2.39; 95% CI, 1.24-4.59), NIV followed by MV (OR, 3.00; 95% CI, 1.09-8.18), MV as initial ventilatory strategy (OR, 3.53; 95% CI, 1.45-8.60), and Sequential Organ Failure Assessment score (each point except the respiratory domain) (OR, 1.15; 95% CI, 1.03-1.29) were associated with hospital mortality. Hospital survival in patients with good PS and nonprogressive malignancy and without tumoral airway involvement was 53%. Conversely, patients with poor functional capacity and cancer progression had unfavorable outcomes. CONCLUSIONS: Patients with cancer with good PS and nonprogressive disease requiring ventilatory support should receive full intensive care, because one-half of these patients survive. On the other hand, provision of palliative care should be considered the main goal for patients with poor PS and progressive underlying malignancy.


Assuntos
Pacientes Internados , Unidades de Terapia Intensiva , Neoplasias/terapia , Ventilação não Invasiva/métodos , Cuidados Paliativos/métodos , Adulto , Brasil/epidemiologia , Feminino , Seguimentos , Mortalidade Hospitalar/tendências , Humanos , Tempo de Internação/tendências , Masculino , Pessoa de Meia-Idade , Neoplasias/mortalidade , Prognóstico , Estudos Prospectivos , Resultado do Tratamento
5.
Intensive Care Med ; 36(7): 1188-95, 2010 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-20221751

RESUMO

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.


Assuntos
APACHE , Neoplasias/diagnóstico , Brasil/epidemiologia , Feminino , Mortalidade Hospitalar , Humanos , Unidades de Terapia Intensiva , Masculino , Pessoa de Meia-Idade , Neoplasias/mortalidade , Observação , Probabilidade , Prognóstico , Estudos Prospectivos , Curva ROC , Reprodutibilidade dos Testes
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