Introduction: In some studies including small populations of patients undergoing specific surgery, an intraoperative liberal infusion of fluids was associated with increasing morbidity when compared to restrictive strategies. Therefore, to evaluate the role of excessive fluid infusion in a general population with high-risk surgery is very important. The aim of this study was to evaluate the impact of intraoperative fluid balance on the postoperative organ dysfunction, infection and mortality rate. Methods: We conducted a prospective cohort study during one year in four ICUs from three tertiary hospitals, which included patients aged 18 years or more who required postoperative ICU after undergoing major surgery. Patients who underwent palliative surgery and whose fluid balance could change in outcome were excluded. The calculation of fluid balance was based on preoperative fasting, insensible losses from surgeries and urine output minus fluid replacement intraoperatively. Results: The study included 479 patients. Mean age was 61.2 ± 17.0 years and 8.8% of patients died at the hospital during the study. The median duration of surgery was 4.0 (3.2 to 5.5) h and the value of the Simplified Acute Physiology Score (SAPS) 3 score was 41.8 ± 14.5. Comparing survivors and non-survivors, the intraoperative fluid balance from non-survivors was higher (1,950 (1,400 to 3,400) mL vs. 1,400 (1,000 to 1,600) mL, P <0.001). Patients with fluid balance above 2,000 mL intraoperatively had a longer ICU stay (4.0 (3.0 to 8.0) vs. 3.0 (2.0 to 6.0), P <0.001) and higher incidence of infectious (41.9% vs. 25.9%, P = 0.001), neurological (46.2% vs. 13.2%, P <0.001), cardiovascular (63.2% vs. 39.6%, P <0.001) and respiratory complications (34.3% vs. 11.6%, P <0.001). In multivariate analysis, the fluid balance was an independent factor for death (OR per 100 mL = 1.024; P = 0.006; 95% CI 1.007 to 1.041). Conclusions: Patients with excessive intraoperative fluid balance have more ICU complications and higher hospital mortality.

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. 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. 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. 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.

The aim of this study was to determine the occurrence rate, demographics, clinical characteristics, and outcomes of patients with severe sepsis admitted to the emergency department. A prospective study evaluating all patients admitted to the emergency department unit in a public hospital of tertiary complexity in a six-month period was conducted. During this period, the emergency team was trained to diagnose sepsis. Patients who met the diagnostic criteria for severe sepsis were followed until their discharge from the hospital. A total of 5,332 patients were admitted to the emergency department, and 342 met the criteria for severe sepsis/septic shock. The median (interquartile range) age of patients was 74 (65-84) years, and 52.1% were male. The median APACHE II and SOFA scores at diagnosis were 19 (15-25) and 5 (3-7), respectively. The median number of dysfunctional organ systems per patient was 2 (1-3). The median hospital length of stay was 10 (4.7-17) days, and the hospital mortality rate was 64%. Only 31% of the patients were diagnosed by the emergency department team as septic. About 33.5% of the 342 severe sepsis patients admitted to the emergency department were referred to an ICU, with a median time delay of 24 (12-48) hours. Training improved diagnosis and decreased the time delay for septic patients in arriving at the ICU. The occurrence rate of severe sepsis in the emergency department was 6.4%, and the rate of sepsis diagnosed by the emergency department team as well as the number of patients transferred to the ICU was very low. Educational campaigns are important to improve diagnosis and, hence, treatment of severe sepsis.

JUSTIFICATIVA E OBJETIVOS: O sistema prognóstico SAPS 3 (Simplified Acute Physiology Score 3) é composto de 20 variáveis, representadas por escore fisiológico agudo e avaliação do estado prévio, visando estabelecer índice preditivo de mortalidade para pacientes admitidos em unidades de terapia intensiva (UTI). O estudo teve objetivo de validar este sistema e verificar o poder discriminatório deste índice em pacientes cirúrgicos do Brasil. MÉTODO: Estudo prospectivo, realizado em duas UTI especializadas em pacientes cirúrgicos de dois diferentes hospitais, no período de um ano, excluiuse pacientes com idade inferior a 16 anos, que permaneceram tempo inferior a 24 horas na UTI, readmitidos e aqueles admitidos para procedimento dialítico. A habilidade preditiva do índice SAPS 3 em diferenciar sobreviventes e não sobreviventes foi verificada utilizando curva ROC e a calibração pelo teste Hosmer-Lemeshow goodness-of-fit. RESULTADOS: Foram incluídos no estudo 1.310 pacientes. Operações gastrintestinais foram predominantes (34,9%). O menor valor do índice SAPS 3 foi 18 e o maior 154, média de 48,5 ± 18,1. A mortalidade hospitalar prevista e real foi de 10,3% e de 10,8%, respectivamente, razão de mortalidade padronizada (SMR) foi 1,04 (IC95% = 1,03-1,07). A calibração pelo método Hosmer e Lemeshow mostrou X² = 10,47 p = 0,234. O valor do escore SAPS 3 que melhor discriminou sobreviventes e não sobreviventes foi 57, com sensibilidade de 75,8% e especificidade de 86%. Dos pacientes com índice SAPS 3 maior que 57, 73,5% não sobreviveram versus 26,5% de sobreviventes (OR = 1,32 IC95% 1,23 - 1,42, p < 0,0001). CONCLUSÕES: O sistema SAPS 3 é válido na população brasileira de pacientes cirúrgicos, sendo útil para indicar pacientes graves e determinar maiores cuidados neste grupo. JUSTIFICATIVA Y OBJETIVOS: El sistema de pronóstico SAPS 3 (Simplified Acute Physiology Score 3), se compone de 20 variables, representadas por una puntuación fisiológica aguda y por una evaluación del estado previo, con el fin de establecer el índice predictivo de mortalidad para los pacientes admitidos en las unidades de cuidados intensivos (UCI). El estudio quiso validar ese sistema y verificar el poder discriminatorio de ese índice en pacientes quirúrgicos de Brasil. MÉTODO: Estudio prospectivo, realizado en dos UCIs especializadas en pacientes quirúrgicos de dos hospitales diferentes, en el período de un año, donde quedaron excluidos pacientes con edad inferior a los 16 años, que permanecieron un tiempo inferior a 24 horas en la UCI, los readmitidos y los que fueron admitidos para el procedimiento de diálisis. La habilidad predictiva del índice SAPS 3 para diferenciar a los sobrevivientes y a los no sobrevivientes, se constató utilizando la curva ROC y la calibración a través del test Hosmer-Lemeshow goodness-of-fit. RESULTADOS: Se incluyeron en el estudio 1310 pacientes. Las operaciones gastrointestinales fueron predominantes (34,9%). El menor valor del índice SAPS 3 fue 18 y el mayor 154, un promedio de 48,5 ± 18,1. La mortalidad hospitalaria prevista y real alcanzó los 10,3% y 10,8% respectivamente, la razón de mortalidad estandarizada (SMR) fue 1,04 (IC95% = 1,03-1,07). La calibración por el método Hosmer y Lemeshow mostró X2 = 10,47 p = 0,234. El valor de la puntuación SAPS 3 que desglosó mejor a los sobrevivientes y a los no sobrevivientes fue 57, con una sensibilidad de un 75,8% y una especificidad de un 86%. De los pacientes con el índice SAPS 3 mayor que 57, un 73,5% no sobrevivieron contra un 26,5% de sobrevivientes (OR = 1,32 IC95% 1,23 – 1,42, p < 0,0001). CONCLUSIONES: El sistema SAPS 3 es valido en la población brasileña de pacientes quirúrgicos, siendo útil para indicar pacientes graves y determinar mayores cuidados en ese grupo. BACKGROUND AND OBJECTIVES: The SAPS 3 (Simplified Acute Physiology Score 3) prognostic system is composed of 20 parameters, represented by an acute physiology score and assessment of the previous status, aimed at establishing a predictive mortality index for patients admitted to intensive care units (ICU). The objective of this study was to validate this system and determine its discriminatory power in surgical patients in Brazil. METHODS: This is a prospective study undertaken in two surgical ICUs of two different hospitals over a one-year period; patients younger than 16 years, who stay at the ICU for less than 24 hours, readmitted to the unit, and those admitted for dialysis were excluded from the study. The predictive ability of the SAPS 3 index to differentiate survivors and non-survivors was determined by the ROC curve and calibration by the Hosmer-Lemeshow goodness-of-fit test. RESULTS: One thousand three-hundred and ten patients were included in the study. Gastrointestinal surgeries predominated (34.9%). Eighteen was the lower SAPS 3 index and the highest was 154, with a mean of 48.5 ± 18.1. The predicted and real hospital mortality was 10.3% and 10.8%, respectively; the standardized mortality ratio (SMR) was 1.04 (95%CI = 1.03-1.07). Calibration by the Hosmer and Lemeshow method showed X² = 10.47 p = 0.234. The SAPS 3 score that better discriminated survivors and non-survivors was 57, with sensitivity of 75.8% and specificity 86%. Among the patients with SAPS 3 index higher than 57, 73.5% did not survive versus 26.5% who survived (OR= 1.32, 95%CI 1.23-1.42, p < 0.0001). CONCLUSIONS: The SAPS 3 system is valid for the Brazilian population of surgical patients, being...