The effect of excess fluid balance on the mortality rate of surgical patients: a multicenter prospective study.

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.

A large Venous-Arterial PCO(2) Is Associated with Poor Outcomes in Surgical Patients.

Background. This study evaluated whether large venous-arterial CO(2) gap (PCO(2) gap) preoperatively is associated to poor outcome. Method. Prospective study which included adult high-risk surgical patients. The patients were pooled into two groups: wide [P(v-a)CO(2)] versus narrow [P(v-a)CO(2)]. In order to determine the best value to discriminate hospital mortality, it was applied a ROC (receiver operating characteristic) curve for the [P(v-a)CO(2)] values collected preoperatively, and the most accurate value was chosen as cut-off to define the groups. Results. The study included 66 patients. The [P(v-a)CO(2)] value preoperatively that best discriminated hospital mortality was 5.0 mmHg, area = 0.73. Preoperative patients with [P(v-a)CO(2)] more than 5.0 mmHg presented a higher hospital mortality (36.4% versus 4.5% P = 0.004), higher prevalence of circulatory shock (56.8% versus 22.7% P = 0.01) and acute renal failure postoperatively (27.3% versus 4.5% P = 0.02), and longer hospital length of stays 20.0 (14.0-30.0) versus 13.5 (9.0-25.0) days P = 0.01. Conclusions. The PCO(2) gap values more than 5.0 mmHg preoperatively were associated with worse postoperatively outcome.

Applicability of the simplified acute physiology score (SAPS 3) in Brazilian hospitals.

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 X(2) = 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 a useful indicator of critical patients and to determine greater care in this group.

Aplicabilidade do escore fisiológico agudo simplificado (SAPS 3) em hospitais brasileiros / Aplicabilidad de la puntuación fisiológica aguda simplificada (SAPS 3) en hospitales brasileños / Applicability of the simplified acute physiology score (SAPS 3) in brazilian hospitals

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 por cento). 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 por cento e de 10,8 por cento, respectivamente, razão de mortalidade padronizada (SMR) foi 1,04 (IC95 por cento = 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 por cento e especificidade de 86 por cento. Dos pacientes com índice SAPS 3 maior que 57, 73,5 por cento não sobreviveram versus 26,5 por cento de sobreviventes (OR = 1,32 IC95 por cento 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.

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 percent). 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 percent and 10.8 percent, respectively; the standardized mortality ratio (SMR) was 1.04 (95 percentCI = 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 percent and specificity 86 percent. Among the patients with SAPS 3 index higher than 57, 73.5 percent did not survive versus 26.5 percent who survived (OR= 1.32, 95 percentCI 1.23-1.42, p < 0.0001). Conclusions: The SAPS 3 system is valid for the Brazilian population of surgical patients, being a useful indicator of critical patients and to determine greater care in this group.

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 por ciento). 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 por ciento y 10,8 por ciento respectivamente, la razón de mortalidad estandarizada (SMR) fue 1,04 (IC95 por ciento = 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 por ciento y una especificidad de un 86 por ciento. De los pacientes con el índice SAPS 3 mayor que 57, un 73,5 por ciento no sobrevivieron contra un 26,5 por ciento de sobrevivientes (OR = 1,32 IC95 por ciento 1,23 – 1,42, p < 0,0001). Conclusiones: El sistema SAPS 3 es valido en la población brasileña...