Serum Procalcitonin Correlates With Renal Function and Immune Components in Early-Stage Renal Transplant Recipients

Infection evaluation in the early period after liver transplantation: A single-center exploration

BACKGROUND

Infection is a significant risk factor that impacts for perioperative morbidity and mortality in liver transplantation (LTx) patients and is difficult to evaluate quantitatively in the early posttransplantation period. Thus, a biomarker to assess the risk of infection and the prognosis of the recipient is highly desirable.

METHODS

A total of 128 consecutive patients with end-stage liver diseases undergoing LTx between January 1, 2020 and December 31, 2021, at the First Affiliated Hospital of Zhejiang University School of Medicine, were screened retrospectively. Graft preservation fluid and blood samples were collected for culture, and other perioperative laboratory examination results were recorded, for assessment of infection status.

RESULTS

After a follow-up period of 30 days, the survival rate among the 128 LTx recipients was 94.5%. Multivariable regression analysis showed that the logarithmically transformed neutrophil-to-lymphocyte ratio (NLR) (HR = 3.548, 95% CI: ; p = .041) on post-LTx day 1 and graft preservation fluid culture positivity (HR = 12.032, 95% CI: ; p = .006) were independent predictive factors for early prognosis after LTx.

CONCLUSIONS

Positive graft preservation fluid culture and the logarithmically transformed NLR on post-LTx day 1 were independent predictive factors for early prognosis after LTx. The logarithmically transformed NLR could provide an earlier indication than culture results in clinical practice.

Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram

OBJECTIVES

The aim of this study was to develop and assess a risk nomogram of bacterial infection in patients with ANCA-associated vasculitis (AAV) in southwest China.

METHOD

We established a prediction model based on a training dataset of 249 AAV patients. The least absolute shrinkage and selection operator (Lasso) was used to screen feature variables. Multivariate logistic regression analysis was used to build a prediction model for feature variables. Nomogram was used to predict the risk of bacterial infection in AAV patients. Receiver operating characteristic (ROC) curve was used to evaluate and verify the prediction accuracy of the model. Calibration and clinical useful range was assessed using calibration curve and decision curve analysis, respectively.

RESULTS

Bactericidal permeability enhancement protein of ANCAs (BPI-ANCAs), procalcitonin (PCT), and white blood cell (WBC) were the characteristic variables in this study. Nomogram showed that positive BPI-ANCAs and PCT had higher positive predictive value for bacterial infection in AAV patients. The area under curve (AUC) of the model was 0.703 (95% confidence interval: 0.640-0.766). In the validation model, the AUC was 0.745 (95% confidence interval: 0.617-0.872). Decision curve analysis showed that the nonadherence nomogram was clinically useful within the threshold probability range of 0.31-0.85.

CONCLUSIONS

Nomogram combined with BPI-ANCAs and PCT has the guiding significance for predicting bacterial infection risk in AAV. As an ANCA-specific autoantibody, BPI-ANCAs is helpful for clinicians to understand the role of specific autoantibodies in the pathogenesis of AAV. Key Points • BPI-ANCAs, PCT, and WBC could predict bacterial infection in AAV patients. • Nomogram showed that positive BPI-ANCAs had a high positive predictive value for bacterial infection in AAV patients.