The post-operative course after Liver Transplantation (LT) can be complicated by early allograft dysfunction (EAD), primary nonfunction (PNF) and death. A lactate concentration at the end of transplant of ≥5 mmol/L was recently proposed as a predictive marker of PNF, EAD, and mortality; this study aimed to validate these previous reports in a large single center cohort.
This retrospective cohort study included adult liver transplant recipients who received grafts from deceased donors at our center between June 2012 and May 2021. Receiver operating characteristic (ROC) curves for the lactate concentration at the end of transplantation were computed to determine the AUC for PNF, EAD and mortality at 90 days.
In our cohort of 1137 cases, the AUCs for lactate to predict EAD, PNF and mortality were respectively .56 (95% confidence interval [CI]: .53-.60), .69 (95% CI: .52-.85), and .74 (95% CI: .63-.84).
The clinical value of lactate concentration at the end of transplantation to predict PNF, EAD and mortality at 90 days was, at best, modest, as shown by the relatively low AUCs. Our findings cannot validate previous reports that the lactate level alone is a good predictor of poor outcomes after liver transplantation.

BACKGROUND: The purpose of this study was to assess the rate, cause, and factors associated with readmissions following pulmonary resection for lung cancer and their relationship with 90-day mortality.
METHODS: A prospective cohort study was conducted of 379 patients who underwent surgery for lung cancer at the university hospitals Granada, Spain between 2012 and 2016.
RESULTS: The rate of readmissions within 30 postoperative days was 6.2%. The most common reason for readmission was subcutaneous emphysema (21.7%), pneumonia (13%), and pleural empyema (8.5%). A higher probability of requiring urgent readmission was associated with a higher Charlson index (OR 2.0,95% confidence interval 1.50-2.67, P = 0.001); peripheral arterial vasculopathy (OR 4.8, 95%CI 1.27-18.85, P = 0.021); a history of stroke (OR 8.2, 95%CI 1.08-62.37, P = 0.04); postoperative atelectasis (OR 4.7, 95%CI 1.21-18.64, P = 0.026); and air leaks (OR 12.6, 95%CI 4.10-38.91, P = 0.001).The prediction multivariable model for readmission represents an area under the curve (ROC) of 0.90. Mortality at 90 postoperative days in the group of readmitted patients was 13% versus 1.5 for the group of patients who did not require readmission (P < 0.001).
CONCLUSIONS: The factors predictive for readmission can help design individualized outpatient follow-up plans and programs for the reduction of readmissions.