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Purpose To investigate the impact of organizational characteristics and processes of care on hospital mortality and resource use in patients with cancer admitted to intensive care units (ICUs). Patients and Methods We performed a retrospective cohort study of 9,946 patients with cancer (solid, n = 8,956; hematologic, n = 990) admitted to 70 ICUs (51 located in general hospitals and 19 in cancer centers) during 2013. We retrieved patients’ clinical and outcome data from an electronic ICU quality registry. We surveyed ICUs regarding structure, organization, staffing patterns, and processes of care. We used mixed multivariable logistic regression analysis to identify characteristics associated with hospital mortality and efficient resource use in the ICU. Results Median number of patients with cancer per center was 110 (interquartile range, 58 to 154), corresponding to 17.9% of all ICU admissions. ICU and hospital mortality rates were 15.9% and 25.4%, respectively. After adjusting for relevant patient characteristics, presence of clinical pharmacists in the ICU (odds ratio [OR], 0.67; 95% CI, 0.49 to 0.90), number of protocols (OR, 0.92; 95% CI, 0.87 to 0.98), and daily meetings between oncologists and intensivists for care planning (OR, 0.69; 95% CI, 0.52 to 0.91) were associated with lower mortality. Implementation of protocols (OR, 1.52; 95% CI, 1.11 to 2.07) and meetings between oncologists and intensivists (OR, 4.70; 95% CI, 1.15 to 19.22) were also independently associated with more efficient resource use. Neither admission to ICUs in cancer centers compared with general hospitals nor annual case volume had an impact on mortality or resource use. Conclusion Organizational aspects, namely the implementation of protocols and presence of clinical pharmacists in the ICU, and close collaboration between oncologists and ICU teams are targets to improve mortality and resource use in critically ill patients with cancer.

Introduction Higher mortality for patients admitted to intensive care units (ICUs) during the weekends has been occasionally reported with conflicting results that could be related to organisational factors. We investigated the effects of ICU organisational and staffing patterns on the potential association between weekend admission and outcomes in critically ill patients. Methods We included 59 614 patients admitted to 78 ICUs participating during 2013. We defined ‘weekend admission’ as any ICU admission from Friday 19:00 until Monday 07:00. We assessed the association between weekend admission with hospital mortality using a mixed logistic regression model controlling for both patient-level (illness severity, age, comorbidities, performance status and admission type) and ICU-level (decrease in nurse/bed ratio on weekend, full-time intensivist coverage, use of checklists on weekends and number of institutional protocols) confounders. We performed secondary analyses in the subgroup of scheduled surgical admissions. Results A total of 41 894 patients (70.3%) were admitted on weekdays and 17 720 patients (29.7%) on weekends. In univariable analysis, weekend admitted patients had higher ICU (10.9% vs 9.0%, P

Postoperative complications are the primary determinants of survival following major surgery. We aimed to characterize the early perioperative risk factors for postoperative pulmonary complications (POPCs) in patients undergoing major non-cardiac surgeries.This study utilized a multicenter prospective observational cohort design. Adult patients undergoing non-cardiac surgeries and admitted to 21 Brazilian ICUs were screened for inclusion in the study. POPCs were defined as the presence of acute pulmonary oedema, nosocomial pneumonia, and extubation failure in the postoperative period.Of the 581 patients enrolled, 110 (19%) had at least one POPC, of whom 5% had acute pulmonary oedema, 10% extubation failure while 10% had pneumonia. Most cases of pulmonary oedema occurred in the first week after surgery, while pneumonia was more frequently a later occurrence. The mortality rate was significantly higher in the group with POPCs compared to the group of patients without POPCs (62% vs. 11%, RR: 5.1, 95% CI: 4.23-7.69; P0.001). A low functional capacity (RR: 4.6, 95% CI: 2.1-10.0), major surgery (RR: 3.6, 95% CI: 1.2-10.7), preoperative hemodynamic instability (RR: 3.4, 95% CI: 1.1-10.6), alcoholism (RR: 3.3, 95% CI: 1.0-10.7), unplanned surgery (RR: 2.3, 95% CI: 1.0-5.2), the SOFA score (RR: 1.1, 95% CI: 1.0-1.2), and increased central venous pressure (RR: 1.1, 95% CI: 1.0-1.1) were independent predictors of POPCs.Pulmonary complications are common in intensive care units after major non-cardiac surgeries. Awareness of the risk factors for POPCs may help multidisciplinary teams develop strategies to prevent these complications.

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 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.

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

BACKGROUND: Prediction of perioperative cardiac complications is important in the medical management of patients undergoing noncardiac surgery. However, these patients frequently die as a consequence of primary or secondary multiple organ failure (MOF), often as a result of sepsis. We investigated the early perioperative risk factors for in-hospital death due to MOF in surgical patients. METHODS: This was a prospective, multicenter, observational cohort study performed in 21 Brazilian intensive care units (ICUs). Adult patients undergoing noncardiac surgery who were admitted to the ICU within 24 hours after operation were evaluated. MOF was characterized by the presence of at least 2 organ failures. To determine the relative risk (RR) of in-hospital death due to MOF, we performed a logistic regression multivariate analysis. RESULTS: A total of 587 patients were included (mean age, 62.4 ± 17 years). ICU and hospital mortality rates were 15% and 20.6%, respectively. The main cause of death was MOF (53%). Peritonitis (RR 4.17, 95% confidence interval [CI] 1.38–12.6), diabetes (RR 3.63, 95% CI 1.17–11.2), unplanned surgery (RR 3.62, 95% CI 1.18–11.0), age (RR 1.04, 95% CI 1 0.01–1.08), and elevated serum lactate concentrations (RR 1.52, 95% CI 1.14–2.02), a high central venous pressure (RR 1.12, 95% CI 1.04–1.22), a fast heart rate (RR 3.63, 95% CI 1.17–11.2) and pH (RR 0.04, 95% CI 0.0005–0.38) on the day of admission were independent predictors of death due to MOF. CONCLUSIONS: MOF is the main cause of death after surgery in high-risk patients. Awareness of the risk factors for death due to MOF may be important in risk stratification and can suggest routes for therapy.

OBJETIVO: Devido aos avanços da medicina e ao envelhecimento da população, a proporção de pacientes em risco de morte após cirurgias está aumentando. Nosso objetivo foi avaliar o desfecho e a epidemiologia de cirurgias não cardíacas em pacientes admitidos em unidade de terapia intensiva. MÉTODOS: Estudo prospectivo, observacional, de coorte, realizado em 21 unidades de terapia intensiva. Um total de 885 pacientes adultos, cirúrgicos, consecutivamente admitidos em unidades de terapia intensiva no período de abril a junho de 2006 foi avaliado e destes, 587 foram incluídos. Os critérios de exclusão foram; trauma, cirurgias cardíacas, neurológicas, ginecológicas, obstétricas e paliativas. Os principais desfechos foram complicações pós-cirúrgicas e mortalidade na unidade de terapia intensiva e 90 dias após a cirurgia. RESULTADOS: Cirurgias de grande porte e de urgência foram realizadas em 66,4% e 31,7%, dos pacientes, respectivamente. A taxa de mortalidade na unidade de terapia intensiva foi de 15%, e 38% dos pacientes tiveram complicações no pós-operatório. A complicação mais comum foi infecção ou sepse (24,7%). Isquemia miocárdica foi diagnosticada em apenas 1,9%. Um total de 94 % dos pacientes que morreram após a cirurgia tinha co-morbidades associadas (3,4 ± 2,2). A principal causa de óbito foi disfunção de múltiplos órgãos (53%). CONCLUSÃO: Sepse é a causa predominante de morbidade em pacientes submetidos a cirurgias não cardíacas. A grande maioria dos óbitos no pós-operatório ocorreu por disfunção de múltiplos órgãos. OBJECTIVES: Due to the dramatic medical breakthroughs and an increasingly ageing population, the proportion of patients who are at risk of dying following surgery is increasing over time. The aim of this study was to evaluate the outcomes and the epidemiology of non-cardiac surgical patients admitted to the intensive care unit. METHODS: A multicenter, prospective, observational, cohort study was carried out in 21 intensive care units. A total of 885 adult surgical patients admitted to a participating intensive care unit from April to June 2006 were evaluated and 587 patients were enrolled. Exclusion criteria were trauma, cardiac, neurological, gynecologic, obstetric and palliative surgeries. The main outcome measures were postoperative complications and intensive care unit and 90-day mortality rates. RESULTS: Major and urgent surgeries were performed in 66.4% and 31.7% of the patients, respectively. The intensive care unit mortality rate was 15%, and 38% of the patients had postoperative complications. The most common complication was infection or sepsis (24.7%). Myocardial ischemia was diagnosed in only 1.9% of the patients. A total of 94 % of the patients who died after surgery had co-morbidities at the time of surgery (3.4 ± 2.2). Multiple organ failure was the main cause of death (53%). CONCLUSION: Sepsis is the predominant cause of morbidity in patients undergoing non-cardiac surgery. In this patient population, multiple organ failure prevailed as the most frequent cause of death in the hospital.

FUNDAMENTO: A embolia pulmonar apresenta alta mortalidade em pacientes com hipotensão arterial ou choque circulatório. Entretanto, em pacientes hemodinamicamente estáveis, a associação de algumas variáveis clínicas com a mortalidade ainda não está claramente estabelecida. OBJETIVOS: Derivar um modelo de estratificação do risco de mortalidade intra-hospitalar em pacientes com embolia pulmonar hemodinamicamente estáveis. MÉTODOS: Estudo de coorte multicêntrico prospectivo de 582 pacientes consecutivos que foram admitidos em unidades de emergência ou de terapia intensiva, com suspeita clínica de embolia pulmonar, e que tiveram o diagnóstico confirmado por meio de um ou mais dos seguintes exames: arteriografia pulmonar, angiotomografia computadorizada helicoidal, angioressonância magnética, ecodopplercardiograma, cintilografia pulmonar ou duplex-scan venoso. Os dados sobre características demográficas, comorbidades e manifestações clínicas foram coletados e incluídos em uma análise de regressão logística para compor o modelo de predição. RESULTADOS: A mortalidade global foi de 14,1%. Foram identificadas como variáveis independentes de risco de óbito: idade > 65 anos; repouso no leito > 72h; cor pulmonale crônico; taquicardia sinusal e taquipnéia. Após a estratificação por faixas de risco, observaram-se mortalidades de 5,4%, 17,8% e 31,3%, respectivamente nos subgrupos de baixo, moderado e alto riscos. O modelo mostrou sensibilidade de 65,5% e especificidade de 80%, com uma área sob a curva de 0,77. CONCLUSÃO: Em pacientes hemodinamicamente estáveis com embolia pulmonar, a idade > 65 anos, o repouso no leito > 72h, o cor pulmonale crônico, a taquicardia sinusal e a taquipnéia foram preditores independentes da mortalidade intra-hospitalar. Entretanto o modelo de predição necessita ser validado em outras populações para sua incorporação à prática clínica.

Sepsis represents the major cause of death in the ICUs all over the world. Many studies have shown an increasing incidence over time and only a slight reduce in mortality. Many new treatment strategies are arising and we should know our incidence of sepsis and features.

The QuaTI System, sponsored by AMIB and DIXTAL, is developing an important database for intensive care in Brazil. The QuaTI System offers significant information for the participating ICUs for their continuous improvement, and gives data, although partial, of demographic characteristics of patients seen at participant ICUs. In our country, there is a steady decline in natality and mortality in the past 30 years, showing an irreversible and accelerated aging population process. Life expectancy at birth is 68 years and expectation at 60 years is more 18 years on average. In 1970, 5.07% of the population was older than 60; in 2000, 8.56%; and in 2002, 9.3%. In the South and Southeast, 10.2% of population are more than 60 years old.