Isolated traumatic brain injury in patients with cirrhosis: do different treatment paradigms result in increased mortality?

Anesthesia for the Patient with Severe Liver Failure

The incidence of liver failure continues to increase, and it is associated with increased perioperative morbidity and mortality. Liver failure is associated with multiorgan dysfunction, including central nervous, cardiac, respiratory, gastrointestinal, renal, and hematological systems. Preoperative identification, optimization, and tailored anesthetic management are essential for optimum outcomes in patients with liver disease undergoing surgery. The coagulopathy of liver failure is a balanced coagulopathy better assessed by thromboelastography than conventional testing, and it is not directly associated with bleeding risk.

The effect of cirrhosis on trauma outcomes: A systematic review and meta-analysis

BACKGROUND

The negative effect of cirrhosis on mortality following traumatic injury has been quantified in multiple observational studies. However, to our knowledge, the information contained in these studies has never been synthesized. The aims of this study were: (1) to determine the magnitude of the effect of liver cirrhosis on mortality, morbidity, and hospital course among trauma patients and (2) to analyze sources of study heterogeneity that may lead to differing estimates in the observed mortality rate among patients with cirrhosis.

METHODS

A systematic search of EMBASE and PubMed was conducted. Data were extracted from eligible studies and analyzed using a random-effects model to compare trauma outcomes in cirrhotic and noncirrhotic patients (PROSPERO Registration CRD42018088464). Mortality was the primary outcome. Secondary outcomes included complication rate, length of hospital stay, length of intensive care unit stay, and mechanical ventilation days.

RESULTS

Title and abstract review of 15,958 articles led to the identification of 31 relevant articles. Ultimately, 18 observational studies were included in this meta-analysis. The pooled effect sizes for mortality (odds ratio [OR], 4.52; 95% confidence interval [CI], 3.13-6.54) and complication rate (OR, 1.92; 95% CI, 1.30-2.85) were higher in the cirrhotic group than the noncirrhotic group. Trauma patients with cirrhosis also incurred longer hospital stays (mean difference, 3.81 days; 95% CI, 1.22-6.41) and longer ICU stays (mean difference, 2.40 days; 95% CI, 0.65-4.15). There was no difference in days spent on mechanical ventilation.

CONCLUSION

Preexisting liver cirrhosis is associated with increased mortality rate, complication rate, and length of hospitalization among trauma patients, even after adjusting for confounding factors and potential sources of between-study heterogeneity. Trauma patients with cirrhosis would benefit from heightened surveillance and injury prevention interventions.

LEVEL OF EVIDENCE

Systematic review and meta-analysis, level III.

Anesthesia for the Patient with Severe Liver Failure

The incidence of liver failure continues to increase, and it is associated with increased perioperative morbidity and mortality. Liver failure is associated with multiorgan dysfunction, including central nervous, cardiac, respiratory, gastrointestinal, renal, and hematological systems. Preoperative identification, optimization, and tailored anesthetic management are essential for optimum outcomes in patients with liver disease undergoing surgery. The coagulopathy of liver failure is a balanced coagulopathy better assessed by thromboelastography than conventional testing, and it is not directly associated with bleeding risk.

Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer

Background

The aim of this study was to develop an effective surgical site infection (SSI) prediction model in patients receiving free-flap reconstruction after surgery for head and neck cancer using artificial neural network (ANN), and to compare its predictive power with that of conventional logistic regression (LR).

Materials and methods

There were 1,836 patients with 1,854 free-flap reconstructions and 438 postoperative SSIs in the dataset for analysis. They were randomly assigned tin ratio of 7:3 into a training set and a test set. Based on comprehensive characteristics of patients and diseases in the absence or presence of operative data, prediction of SSI was performed at two time points (pre-operatively and post-operatively) with a feed-forward ANN and the LR models. In addition to the calculated accuracy, sensitivity, and specificity, the predictive performance of ANN and LR were assessed based on area under the curve (AUC) measures of receiver operator characteristic curves and Brier score.

Results

ANN had a significantly higher AUC (0.892) of post-operative prediction and AUC (0.808) of pre-operative prediction than LR (both P<0.0001). In addition, there was significant higher AUC of post-operative prediction than pre-operative prediction by ANN (p<0.0001). With the highest AUC and the lowest Brier score (0.090), the post-operative prediction by ANN had the highest overall predictive performance.

Conclusion

The post-operative prediction by ANN had the highest overall performance in predicting SSI after free-flap reconstruction in patients receiving surgery for head and neck cancer.