How do we translate gaps and unmet needs of blood management for thalassemia into a collaborative implementation framework?

BACKGROUND AND OBJECTIVE: The mainstay of management for thalassemia is regular blood transfusions. However, gaps and unmet needs of blood services for thalassemia are still not clearly identified and addressed in Thailand, a country prevalent with thalassemia. What can be a collaborative implementation framework that helps advance practices and policies relating to blood management for thalassemia? METHODS: The first Blood & Beyond Roundtable Discussion was held in July 2022 to gather the current situation, gaps, and unmet needs of blood services for thalassemia from multidisciplinary experts and thalassemic patients. The Implementation Guide as suggested by the Centre for Effective Services was applied as a tool to consolidate information from the discussions and construct the collaborative implementation framework. RESULTS: The National Blood Center and hospitals in Thailand followed the missions specified in the National Blood Policy and the standard guidelines to ensure the best practice of blood management for thalassemia. However, there were six gaps and unmet needs identified from the discussions. After all discussion points were mapped onto the framework, an implementation plan comprised of five specific activities became clear and actionable. CONCLUSION: Without the complete information from both experts and patients, the implementation plan would not have been successfully constructed. The method that we employed to translate all information into the framework can be adapted by other countries to develop their own specific framework efficiently.

NGS4THAL, a One-Stop Molecular Diagnosis and Carrier Screening Tool for Thalassemia and Other Hemoglobinopathies by Next-Generation Sequencing.

Thalassemia is one of the most common genetic diseases and a major health threat worldwide. Accurate, efficient, and scalable analysis of next-generation sequencing (NGS) data is much needed for its molecular diagnosis and carrier screening. We developed NGS4THAL, a bioinformatics analysis pipeline analyzing NGS data to detect pathogenic variants for thalassemia and other hemoglobinopathies. NGS4THAL realigns ambiguously mapped NGS reads derived from the homologous Hb gene clusters for accurate detection of point mutations and small insertions/deletions. It uses a combination of complementary structural variant (SV) detection tools and an in-house database of control data containing specific SVs to achieve accurate detection of the complex SV types. Detected variants are matched with those in HbVar (A Database of Human Hemoglobin Variants and Thalassemia Mutations), allowing recognition of known pathogenic variants, including disease modifiers. Tested on simulation data, NGS4THAL achieved high sensitivity and specificity. For targeted NGS sequencing data from samples with laboratory-confirmed pathogenic Hb variants, it achieved 100% detection accuracy. Application of NGS4THAL on whole genome sequencing data from unrelated studies revealed thalassemia mutation carrier rates for Hong Kong Chinese and Northern Vietnamese that were consistent with previous reports. NGS4THAL is a highly accurate and efficient molecular diagnosis tool for thalassemia and other hemoglobinopathies based on tailored analysis of NGS data and may be scaled for population carrier screening.

Comprehensive screening for coexisting heterozygous α0-thalassemia in hemoglobin E trait.

Objectives: A sensitive screening for the coexistence of α0-thalassemia and the hemoglobin E (Hb E) trait is important to identify at-risk couples for hydrops fetalis. However, previous cutoff values have shown a positive predictive value (PPV) of only 50% or less. This study aimed to define more specific indicators to reduce the need for DNA tests. Methods: Patients with Hb E trait, as diagnosed by high performance liquid chromatography (HPLC) and/or isoelectric focusing (IEF) techniques, were tested for α0-thalassemia and α+-thalassemia deletions using multiplex gap polymerase chain reaction. Iron deficiency anemia (IDA) were excluded using a red cell distribution width (RDW) of more than 14.5%. Results: From 390 specimens, suitable cutoff values showing a 100% sensitivity for detection of heterozygous α0-thalassemia were an Hb E level of less than 22% by HPLC, a mean corpuscular volume (MCV) of less than 72 fL, and a mean corpuscular hemoglobin (MCH) level of less than 22.5 pg. Comparable results were obtained in the validation cohort (N = 179). Using a combination of Hb E with either MCV or MCH cutoff points gave a PPV of 76.2% and 77.4%, respectively. Discussion: IDA was reported to interfere with Hb E level. In this study, we excluded IDA using RDW of more than 14.5% to enhance the test specificity. Conclusion: Lower cutoff screening values can be used to exclude α0-thalassemia in the Hb E trait yielding a higher specificity in a normal RDW condition. This can save the cost and labor of DNA testing.