This retrospective study has aimed at determining the prevalence, aetiology and clinical evolution of chronic liver disease (CLD) after allogeneic bone marrow transplantation (BMT). A total of 106 patients who had been transplanted in a single institution and who had survived for at least 2 years after BMT were studied. The prevalence of CLD was 57.5% (61/106). In 47.3% of cases more than one aetiopathogenic agent coexisted. The causes of CLD were iron overload (52.4%), chronic hepatitis C (47.5%), chronic graft-versus-host disease (C-GVHD) (37.7%), hepatitis B (6.5%), non-alcoholic steatohepatitis (NASH) (4.9%), autoimmune hepatitis (AIH) (4.9%) and unknown two (3.3%). Twenty-three patients with iron overload underwent venesections which were well tolerated. An improvement in liver function tests (LFTs) was observed in 21 (91%) patients. All six patients with siderosis as the only cause of CLD normalized LFT as well as three patients with HCV infection. Clinical evolution was satisfactory for patients with GVHD, AIH, NASH and hepatitis B. At the last visit 23 patients continued with abnormal LFTs, and 19 of them were infected by the HCV. A sustained biochemical and virologic response was achieved in only one case out of six patients with CHC who received interferon. We have found that CLD is a common complication in long-term BMT survivors. The aetiology is often multifactorial, iron overload, CHC and C-GVHD being the main causes. The CLD followed a rather 'benign' and slow course in our patients as none of them developed symptoms or signs of liver failure and we did not observe an increase in morbidity or mortality in these patients, but a longer follow-up is necessary in HCV infected patients based on the natural history of this infection in other populations.

Download full-text PDF

Source
http://dx.doi.org/10.1038/sj.bmt.1702532DOI Listing

Publication Analysis

Top Keywords

patients
12
iron overload
12
allogeneic bone
8
bone marrow
8
marrow transplantation
8
course patients
8
clinical evolution
8
cld
6
long-term liver
4
liver dysfunction
4

Similar Publications

Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.

Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.

View Article and Find Full Text PDF

Background: Patient recruitment and data management are laborious, resource-intensive aspects of clinical research that often dictate whether the successful completion of studies is possible. Technological advances present opportunities for streamlining these processes, thus improving completion rates for clinical research studies.

Objective: This paper aims to demonstrate how technological adjuncts can enhance clinical research processes via automation and digital integration.

View Article and Find Full Text PDF

Background: This review explores virtual reality (VR) and exercise simulator-based interventions for individuals with attention-deficit/hyperactivity disorder (ADHD). Past research indicates that both VR and simulator-based interventions enhance cognitive functions, such as executive function and memory, though their impacts on attention vary.

Objective: This study aimed to contribute to the ongoing scientific discourse on integrating technology-driven interventions into the management and evaluation of ADHD.

View Article and Find Full Text PDF

Background: In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care.

View Article and Find Full Text PDF

Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.

Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.

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!