Introduction: Posttransplant early calcineurin inhibitor (CNI)-induced neurotoxicity (ECIIN) was related to high CNI levels, among other factors. Minimizing exposure could modify its incidence or clinical evolution.

Objective: To compare the incidence, predisposing factors, and clinical evolution of ECIIN after immunosuppressive induction with low-dose tacrolimus-MR (Advagraf) or conventional dose tacrolimus (Prograf).

Patients And Methods: We matched 71 patients treated with an immunosuppression induction schedule with basiliximab and low doses of Advagraf (cases group) 1:1 by recipient age and indication for liver transplantation (OLT) with patients treated with a conventional tacrolimus regimen (control group). Baseline characteristics, liver and kidney function, operative technical characteristics, kidney function, and C0 tacrolimus levels at several time points after liver OLT were analyzed.

Results: There were 31 cases of ECIIN (21%), 14 in the cases group (20%) and 17 in the control group (24%; P < .001). The incidence of ECIIN was higher in alcoholic liver disease (odds ratio [OR], 8.2; 95% CI, 2.3-28.6; P < .001) and past history of encephalopathy (OR, 2.6; 95% CI, 1.16-5.9; P < .02). Among cases, the incidence of ECIIN was higher when encephalopathy signs were present at time of transplantation (36% vs 12%; P < .001). Control of ECIIN required a switch to cyclosporine therapy in all those in the cases group, whereas this was only needed for 9 cases in the control group (47%; P < .001).

Conclusion: In this study, although the incidence rate of neurotoxicity induced by Advagraf was lower than the induced by Prograf, it did not respond to routine treatment and required a significantly higher rate of switch to cyclosporine for its control.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.transproceed.2014.10.006DOI Listing

Publication Analysis

Top Keywords

cases group
12
control group
12
incidence clinical
8
clinical evolution
8
liver transplantation
8
immunosuppressive induction
8
patients treated
8
kidney function
8
incidence eciin
8
eciin higher
8

Similar Publications

Causal association between gut microbiome and polycystic ovary syndrome: A bidirectional Mendelian randomization study.

Afr J Reprod Health

December 2024

Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, Jiangsu, China.

Through implementing a bidirectional Mendelian randomization (MR) study, the causal effects between gut microbiome and polycystic ovary syndrome (PCOS) were analyzed. Summary statistics for PCOS were acquired from the FinnGen consortium R8 release data, which included 27,943 cases and 162,936 controls. The inverse-variance weighting (IVW) method was adopted for analysis.

View Article and Find Full Text PDF

The objective of this study was to describe an outbreak of equine herpesvirus-1 myeloencephalopathy (EHM) in a population of aged equids. The outbreak was linked to the introduction of five healthy non-resident horses 15 days prior to the first case of acute recumbency. This fulminant EHM outbreak was predisposed by the grouping of the 33 unvaccinated animals in two large pens with shared water and feed troughs.

View Article and Find Full Text PDF

Background/objectives: Spain has been in a measles elimination phase since 2014. No evidence exists about the distribution of measles cases among the population born outside Spain. The aim of this study was thus to describe the epidemiological situation of measles, stratified by place of birth, during the post-elimination period in Spain.

View Article and Find Full Text PDF

Respiratory syncytial virus (RSV) causes symptoms similar to a mild cold for adults, but in case of infants, it causes bronchitis and/or pneumonia, and in some cases, mortality. Mucosal immunity within the respiratory tract includes tissue-resident memory T (T) cells and tissue-resident memory B (B) cells, which provides rapid and efficient protection against RSV re-infection. Therefore, vaccine strategies should aim to generate mucosal immune responses.

View Article and Find Full Text PDF

Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Sensors (Basel)

December 2024

Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.

Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!