Patients with autoimmune diseases (ADs) are a challenge for the intensivist; it is hard to differentiate among infection, disease activity, and combinations of both, leading to high mortality. This study is a retrospective analysis of 124 critically ill patients admitted to the intensive care unit (ICU) in a university hospital between 2008 and 2016. Bivariate case–control analysis was performed, using patients who died as cases; later, analysis using a logistic regression model with variables that were associated with mortality was conducted. Four variables were consistently associated with mortality in the logistic regression model and had adequate prediction value (Hosmer and Lemeshow statistic = 0.760; Nagelkerke R-squared = 0.494). The risk of death was found to be statistically associated with the following: shock at admission to ICU [odds ratio (OR): 7.56; 95% confidence interval (CI): 1.78–31.97, p = 0.006], hemoglobin level <8 g/dL (OR: 16.12; 95% CI: 3.35–77.52, p = 0.001), use of cytostatic agents prior to admission to the ICU (OR: 8.71; 95% CI: 1.23–61.5, p = 0.03), and low levels ofcomplement C3 (OR: 5.23; 95% CI: 1.28–21.35, p = 0.02). These variables can guide clinicians in the early identification of patients with AD with increased risk of death during hospitalization, leading to initial therapies seeking to improve survival. These results should be evaluated prospectively in future studies to establish their predictive power.

We detected a total of 32 SLNs in 21 of 22 patients. Ipsilateral neck node location was observed in 18 patients and bilateral in 3. We observed 10 patients with true positive SLNs (3 patients had micrometastases), indicating occult metastases. We harvested a total of 454 nodes in our selective neck dissections, 19 of which presented metastatic invasion. We identified four patients with positive non-sentinel nodes.

We observed SLNs in 21 of 22 patients, with a total of 32 SLNs detected at cervical level II (65.63%), I (21.87%), and III (12.5%). SLNB displayed a sensitivity of 73% (confidence interval (CI)=0.51-0.99) and 100% specificity (CI=1). Negative and positive predictive values were 80% and 100%, respectively. SLNB significantly reduced the incidence of radical neck dissection (p=0.003), the need for recovery/resuscitation beds after surgery (p=0.002), surgical complications (p=0.034), and length of hospital stay (p=0.01).

Background and aims Introduction: systemic lupus erythematosus (SLE) is one of most prevalent autoimmune diseases in critical care in the last years and is associated with many complications, the infections are an important cause of mortality which makes necessary a rapid and precise diagnostic approach. Methods A retrospective study was conducted, 56 patients with SLE were admitted to the intensive care unit (ICU) at a University Hospital in Bogotá, Colombia, between 2008 and 2016. The average age was 40.7 years old (SD ±17.7 y/o), female sex was predominant (71% vs 29%). Correlation between procalcitonin and eosinopenia in patients with positive cultures in bivariate analysis was performed to identify if there was a possible association to include those variables in a logistic regression model to establish an association with positive cultures. Results two variables consistently associated with positive cultures in the logistic regression model, which had adequate prediction parameters: procalcitonin !2.0 ng/ml (OR: 6.076; 95% CI 1.75 to 20.79, p=0.004), absolute count of eosinophil <30 cells/mm 3 (OR: 3.45; 95% CI 1.01 to 11.7, p=0.047). Conclusion These variables could guide clinicians in early identification of patients with SLE and infectious diseases as a cause of critical illness, leading to early antibiotic therapy to Abstract 200 Table 3 A review of the treatments in reported cases.