A high incidence of isolated left ventricular non-compaction (LVNC) has been reported in previous studies on smaller cohorts of patients with thalassemia by cardiac MRI but the clinical impact of the finding is unknown. This prospective cohort study evaluates the prevalence and clinical implication of the finding. Prospective cohort study with enrollment of all consecutive cases with thalassemia referred for cardiac MRI from September 2007 to November 2014. The presence of LVNC was assessed according to the Petersen method and the Jacquier method, with the proposed changes by Fazio, Grothoff, and Chiodi. A clinical follow-up was performed in all patients. We included 560 patients with thalassemia (473 with thalassemia major and 87 with thalassemia intermedia: mean age 31.9 ± 10.6 years, male/female = 250/310). A total number of 1683 MRI tests were performed. A diagnosis of LVNC was determined according to adopted MR criteria in 44 patients (7.9%). Patients with LVNC had a significantly lower ejection fraction (52.68 ± 5.17% vs. 56.90 ± 6.34%; p = 0.0005) and greater indexed LV ESV (48.16 ± 10.03 ml/m vs. 40.02 ± 10.06 ml/m; p = 0.0022). After a mean follow-up time was 5.1 years, no significant change of MR parameters was detected as well as no clinical adverse events. LVNC is relatively frequent in patients with thalassemia. However, it is not associated with a worsening of LV function and adverse events after a long-term follow-up.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11739-019-02114-3DOI Listing

Publication Analysis

Top Keywords

patients thalassemia
16
left ventricular
8
ventricular non-compaction
8
cardiac mri
8
prospective cohort
8
cohort study
8
adverse events
8
patients
7
thalassemia
7
lvnc
5

Similar Publications

Objective: The study aimed to provide clinical evidence regarding the perinatal management of HbH disease by comparing and analyzing blood routine, anemia characteristics, and their influence on pregnancy outcomes in patients with common deletional and non-deletional HbH disease at various pregnancy stages.

Patients And Methods: From May 2017 to October 2023, a comparative analysis was conducted on pregnant women undergoing treatment at the Second Affiliated Hospital of Guangxi Medical University and the Second Nanning People's Hospital. The study included 42 cases of deletional HbB disease and 32 cases of non-deletional HbH disease.

View Article and Find Full Text PDF

Beta-thalassemia major (β-TM) is a genetic disorder, prevalent especially in the Mediterranean region, Southeast Asia, and the Indian subcontinent. With improvements in management over the years, β-TM has transitioned from a fatal childhood disease to a chronic condition. However, in Pakistan, there is still a lack of a comprehensive national policy and strategic plan, which has resulted in a growing number of β-TM patients, placing a substantial burden on individuals and the national healthcare system.

View Article and Find Full Text PDF

Background: Patients with transfusion-dependent thalassemia experience iron dysregulation, which affects the immune response. Surface proteins such as FcγRIII (CD16), lipopolysaccharide receptor (CD14), and human leukocyte antigen (HLA-DR) on monocytes are crucial for innate and adaptive responses. Blood monocytes, identified by their CD14 and CD16 expression, show functional diversity during injury or inflammation.

View Article and Find Full Text PDF

Background: Many patients with β-thalassaemia die prematurely due to iron overload. In this study, we aim to evaluate the efficacy and safety of the triple combination of deferoxamine, deferasirox and deferiprone on iron chelation in patients with transfusion-dependent β-thalassaemia with very high iron overload.

Methods: This open-label, randomised, controlled clinical trial was conducted at Colombo North Teaching Hospital, Sri Lanka.

View Article and Find Full Text PDF

Classification of α-thalassemia data using machine learning models.

Comput Methods Programs Biomed

January 2025

Operations Research Group, Department of Materials and Production, Aalborg University, Aalborg, 9220, Denmark.

Background: Around 7% of the global population has congenital hemoglobin disorders, with over 300,000 new cases of α-thalassemia annually. Diagnosis is costly and inaccurate in low-income regions, often relying on complete blood count (CBC) tests. This study employs machine learning (ML) to classify α-thalassemia traits based on gender and CBC, exploring the effects of grouping silent- and non-carriers.

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!