A complication risk score to evaluate clinical severity of thalassaemia syndromes

Reframing thalassaemia syndrome as a benign haematopoietic stem cell disorder

Thalassaemia, caused by over 250 mutations in the beta globin gene, changes the haematopoietic stem cell (HSC) differentiation, leading to ineffective erythropoiesis. This Wider Perspective article overlooks its underlying nature as a benign HSC disorder with a significant impact on the erythroid cell lineage. The simplicity of managing symptoms through transfusions and iron chelation therapy has shifted the focus away from the development of cell-based treatments. The identification of the beta039 mutation by Chang and Kan in 1979 marked a turning point, suggesting as main approach the molecular level by correcting the beta globin chain imbalances through gene insertion and editing. However, challenges of technology have delayed the implementation of these strategies for over four decades. In contrast, the past two decades have witnessed significant advances in the treatment of HSC disorders of the myeloid clone which are driven by a 'target cell strategy'. Many current and innovative treatments for thalassaemia are now adopting this approach, highlighting the importance of identifying suitable candidates through risk stratification. This manuscript explores the evolving understanding of thalassaemia syndromes as congenital HSC disorders of the erythroid clone and examines the implications of this perspective for the development of future treatments.

Adipocyte fatty acid-binding protein (FABP4) as a potential biomarker for predicting metabolically driven low-grade and organ damage in thalassemia syndromes

Adipocyte fatty acid-binding protein (A-FABP; FABP4) plays a significant role in the pathogenesis and progression of metabolically driven low-grade inflammation and organ damage. This study aimed to evaluate the performance of circulating FABP4 as a predictive and diagnostic biomarker for thalassemia-associated cardiometabolic events. This case-control study enrolled 50 adults with β-thalassemia and 30 age-, sex-, and body mass index-matched controls. Participants underwent a comprehensive evaluation, including complete blood count, liver and kidney function tests, serum blood glucose, lipid profile, and ferritin levels, pelviabdominal ultrasound, ECG, and echocardiography after taking a full medical history and conducting a clinical examination. Serum levels of FABP4 were measured using an Enzyme-Linked-Immunosorbent-Assay. The diagnostic performance of FABP4 was assessed using receiver operator characteristic (ROC) curve analysis to determine optimal values for excluding and confirming cardiometabolic metflammation. The thalassemia cohort exhibited a statistically significant higher concentration of FABP4 compared to the control group (p-value < 0.001). Positive correlations were found between FABP4 and ferritin serum levels above 800 or 1000 ug/L, as well as with ALT, TGS, and LDL (p-value < 0.05). Circulating FABP4 was identified as a statistically significant risk factor for thalassemia-associated cardiometabolic comorbidities (OR = 84.00, 95%CI:18.6-378.6, p-value < 0.001). ROC analysis determined that the FABP4 exclusionary cut-off value > 2.30 ng/ml could effectively discriminate between thalassemia-associated adverse metaflammation and controls, while the FABP4 confirmatory cut-off value was > 2.58 ng/ml. In conclusion, circulating FABP4 appears to be a potential risk factor for predicting progression to cardiometabolic events in thalassemia-associated adverse metaflammation. FABP4 holds promise as a diagnostic and prognostic biomarker for disease monitoring and risk stratification. Further validation through large-scale, multicenter, prospective studies is warranted.

Anemia and iron overload as prognostic markers of outcomes in β-thalassemia

INTRODUCTION

Ineffective erythropoiesis and subsequent anemia as well as primary and secondary (transfusional) iron overload are key drivers for morbidity and mortality outcomes in patients with β-thalassemia.

AREAS COVERED

In this review, we highlight evidence from observational studies evaluating the association between measures of anemia and iron overload versus outcomes in both non-transfusion-dependent and transfusion-dependent forms of β-thalassemia.

EXPERT OPINION

Several prognostic thresholds have been identified with implications for patient management. These have also formed the basis for the design of novel therapy clinical trials by informing eligibility and target endpoints. Still, several data gaps persist in view of the challenge of assessing prospective long-term outcomes in a chronic disease. Pooling insights on the prognostic value of different measures of disease mechanism will be key to design future scoring systems that can help optimize patient management.

Iron chelation therapy for children with transfusion-dependent β-thalassemia: How young is too young?

In this review, we provide a summary of evidence on iron overload in young children with transfusion-dependent β-thalassemia (TDT) and explore the ideal timing for intervention. Key data from clinical trials and observational studies of the three available iron chelators deferoxamine, deferiprone, and deferasirox are also evaluated for inclusion of subsets of young children, especially those less than 6 years of age. Evidence on the efficacy and safety of iron chelation therapy for children ≥2 years of age with transfusional iron overload is widely available. New data exploring the risks and benefits of early-start iron chelation in younger patients with minimal iron overload are also emerging.

Αlpha-thalassemia: A practical overview

α-Thalassemia is an inherited blood disorder characterized by decreased synthesis of α-globin chains that results in an imbalance of α and β globin and thus varying degrees of ineffective erythropoiesis, decreased red blood cell (RBC) survival, chronic hemolytic anemia, and subsequent comorbidities. Clinical presentation varies depending on the genotype, ranging from a silent or mild carrier state to severe, transfusion-dependent or lethal disease. Management of patients with α-thalassemia is primarily supportive, addressing either symptoms (eg, RBC transfusions for anemia), complications of the disease, or its transfusion-dependence (eg, chelation therapy for iron overload). Several novel therapies are also in development, including curative gene manipulation techniques and disease modifying agents that target ineffective erythropoiesis and chronic hemolytic anemia. This review of α-thalassemia and its various manifestations provides practical information for clinicians who practice beyond those regions where it is found with high frequency.

One-step genotyping of α-thalassaemia by multiplex symmetric PCR melting curve

AIMS

Alpha-thalassaemia is one of the most common monogenic disorders worldwide. Due to high guanine-cytosine (GC) content and high mutation diversity in α-globin gene cluster, deletional and non-deletional mutations were usually separately detected with different methods. The aim of this study was to develop a novel one-step method for α-thalassaemia genotyping.

METHODS

A multiplex symmetric PCR melting curve strategy was designed for one-step α-thalassaemia genotyping. Based on this strategy, a novel method was developed to simultaneously detect four common deletional (-α3.7 , -α4.2 , _ _SEA , --THAI ) and five common non-deletional (αCD30(-GAG)α, αCD31(G>A)α, αWSα, αQSα, αCSα) α-thalassaemia mutations in a closed-tube reaction. This method was also evaluated by double-blind detection of 235 genotype-known samples and 1630 clinical samples.

RESULTS

All nine α-thalassaemia mutations could be accurately identified by this novel method within 3 hours. The evaluation results also showed a 100% concordance with comparison methods.

CONCLUSIONS

This method is rapid, accurate, low-cost and easy to operate, which can be used for molecular screening and genetic diagnosis of α-thalassaemia in clinical practice. The multiplex symmetric PCR melting curve strategy designed in this study can also provide an effective approach to the method development for high GC content templates and multiple mutations.

Development of a Thalassemia International Prognostic Scoring System (TIPSS)

A prognostic scoring system that can differentiate β-thalassemia patients based on mortality risk is lacking. We analysed data from 3145 β-thalassemia patients followed through a retrospective cohort design for the outcome of death. An a priori list of prognostic variables was collected. β Coefficients from a multivariate cox regression model were used from a development dataset (n = 2516) to construct a formula for a Thalassemia International Prognostic Scoring System (TIPSS) which was subsequently applied to a validation dataset (n = 629). The median duration of observation was 10.0 years. The TIPSS score formula was constructed as exp (1.4 × heart disease + 0.9 × liver disease + 0.9 × diabetes + 0.9 × sepsis + 0.6 × alanine aminotransferase ≥42 IU/L + 0.6 × hemoglobin ≤9 g/dL + 0.4 × serum ferritin ≥1850 ng/mL). TIPSS score thresholds of greatest differentiation were assigned as <2.0 (low-risk), 2.0 to <5.0 (intermediate-risk), and ≥5.0 (high-risk). The TIPSS score was a good predictor for the outcome of death in the validation dataset (AUC: 0.722, 95%CI: 0.641-0.804) and survival was significantly different between patients in the three risk categories (P < 0.001). Compared to low-risk patients, the hazard ratio for death was 2.778 (95%CI: 1.335-5.780) in patients with intermediate-risk and 6.431 (95%CI: 3.151-13.128) in patients with high-risk. This study provides a novel tool to support mortality risk categorization for patients with β-thalassemia that could help management and research decisions.

Random Forest Clustering Identifies Three Subgroups of β-Thalassemia with Distinct Clinical Severity

In this work, we aimed to establish subgroups of clinical severity in a global cohort of β-thalassemia through unsupervised random forest (RF) clustering. We used a large global dataset of 7910 β-thalassemia patients and evaluated 19 indicators of phenotype severity (IPhS) to determine their contribution and relatedness in grouping β-thalassemia patients into clusters using RF analysis. RF clustering suggested that three clusters with minimal overlapping exist (classification error rate: 4.3%), and six important IPhS were identified: the current age of the patient, the mean serum ferritin level, the age at diagnosis, the age at first transfusion, the age at first iron chelation, and the number of complications. Cluster 3 represented patients with early initiation of transfusion and iron chelation, considerable iron overload, and early mortality from heart failure. Patients in Cluster 2 had lower serum ferritin levels, although they had a higher number of complications manifesting overtime. Patients in Cluster 1 represented a subgroup with delayed or absent transfusion and iron chelation, but with a high morbidity rate. Hepatic disease and cancer were dominant causes of death in patients in Cluster 1 and 2. Our findings established that patients with β-thalassemia can be clustered into three groups based on six parameters of phenotype severity.

Primary HBB gene mutation severity and long-term outcomes in a global cohort of β-thalassaemia

In β-thalassaemia, the severity of inherited β-globin gene mutations determines the severity of the clinical phenotype at presentation and subsequent transfusion requirements. However, data on associated long-term outcomes remain limited. We analysed data from 2109 β-thalassaemia patients with available genotypes in a global database. Genotype severity was grouped as β⁰ /β⁰ , β⁰ /β⁺ , β⁺ /β⁺ , β⁰ /β⁺⁺ , β⁺ /β⁺⁺ , and β⁺⁺ /β⁺⁺ . Patients were followed from birth until death or loss to follow-up. The median follow-up time was 34·1 years. Mortality and multiple morbidity outcomes were analyzed through five different stratification models of genotype severity groups. Interestingly, β⁰ and β⁺ mutations showed similar risk profiles. Upon adjustment for demographics and receipt of conventional therapy, patients with β⁰ /β⁰ , β⁰ /β⁺ , or β⁺ /β⁺ had a 2·104-increased risk of death [95% confidence interval (CI): 1·176-3·763, P = 0·011] and 2·956-increased odds of multiple morbidity (95% CI: 2·310-3·784, P < 0·001) compared to patients in lower genotype severity groups. Cumulative survival estimates by age 65 years were 36·8% for this subgroup compared with 90·2% for patients in lower genotype severity groups (P < 0·001). Our study identified mortality and morbidity risk estimates across various genotype severity groups in patients with β-thalassaemia and suggests inclusion of both β⁺ and β⁰ mutations in strata of greatest severity.