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Thalassemia Reports

Thalassemia Reports is an international, peer-reviewed, open access journal on the study, diagnosis, and treatment of thalassemia, published quarterly online by MDPI.

Quartile Ranking JCR - Q4 (Hematology)

All Articles (274)

Background/Objectives: Thalassemia is among the most common hereditary disorders globally, characterized by impaired hemoglobin synthesis and ineffective erythropoiesis. This study analyzed data on hemoglobinopathies, with a particular focus on thalassemia, to support the development of a comprehensive national database and to improve understanding of the disease burden in the Kurdistan Region of Iraq. Methods: In this retrospective cross-sectional study, a total of 910 patients admitted to the region’s sole blood disorder center since its establishment were included. Results: The study analyzed 46.7% male and 53.3% female thalassemia patients in Duhok, with 58.46% reporting parental consanguinity. Hepatitis C virus (HCV) prevalence was 11.87%, while 8.90% underwent bone marrow transplantation (BMT) and 30.11% had splenectomies. Blood group distribution was O+ (36.26%), A+ (30.99%), and B+ (18.46%). Common medications included Deferasirox (34.62%), Hydroxyurea (26.70%), and Deferoxamine (5.82%), with 8.24% and 4.40% discontinuing Deferasirox and Hydroxyurea, respectively. Geographically, 29% of the patients originated from Duhok City, which exhibited a consanguinity rate of 18.65% (p = 0.020). The most prevalent conditions were β-thalassemia major (32.53%) and sickle cell anemia (24.73%). HCV-positive patients were predominantly diagnosed with β-thalassemia major (43.40%) and sickle cell anemia (33.96%). BMT recipients were mostly β-thalassemia major patients (80.25%), while splenectomy was common in β-thalassemia major (43.40%) and sickle cell β-thalassemia (22.64%). Vaccination rates included Pneumococcal (50.78%), Influenza (47.76%), and Hepatitis (39.08%, first dose). Six patients (0.66%) died, with 30.18% diagnosed before age 1 and 43.89% between 1 and 2 years. In conclusion, this study underscores the high prevalence of β-thalassemia major and sickle cell anemia in Duhok, with strong associations to parental consanguinity and low socioeconomic status. Gaps in early diagnosis and vaccination coverage remain significant challenges.

28 November 2025

Geographic Distribution of Thalassemia Cases Visiting the Zheen Center at Duhok City (no., Percentage).

Background/Objectives: Thalassemia significantly affects the mental well-being and lifestyle of patients and their families. This study evaluated the temporal changes in quality of life (QoL) and psychological burden among thalassemia patients in 2025 and in relation to 2018. Methods: Two cross-sectional samples of patients (n = 236) were recruited during 2025 (n1 = 117) and 2018 (n2 = 119) at the Thalassemia Units on Crete/Greece. The EQ-5D-3L Quality of Life Scale, the EQ VAS Index, and the Hospital Anxiety and Depression Scale (HADS) were used through multiple logistic regression analysis to assess relative parameters. Results: High mean Health Status (EQ VAS Index) and QoL scores remained consistent from 2018 to 2025, anxiety mean levels were low and remained consistent from 2018 to 2025, depression levels were low but higher in 2025 in relation to 2018 (p = 0.041), anxiety significantly exceeded depression in both 2018 and 2025, better QoL was associated with improved health status and reduced anxiety and depression, and individuals with children exhibited significantly lower odds of experiencing low or moderate QoL. Conversely, each unit increase in the Anxiety score significantly increased the odds of low or moderate QoL (OR = 1.26, p = 0.002). Similarly, each unit improvement in health status significantly reduced the odds of low or moderate QoL (OR = 0.97, p = 0.009). Conclusions: Health status and QoL remained consistent from 2018 to 2025, while depression levels increased. Anxiety significantly exceeded depression, and better QoL was associated with improved health status and reduced anxiety and depression.

6 November 2025

Comparison of frequency distributions for the question “Compared to my health status over the past 12 months, my current status is:” of the EQ-5D-3L Quality of Life scale of 236 patients with thalassemia between the years 2018 and 2025.

β-thalassemia is a chronic genetic blood disorder characterized by defective β-globin synthesis, requiring frequent transfusions and resulting in iron overload, immune dysfunction, and increased susceptibility to infections. In these immunocompromised patients, altered immune responses lead to significant changes in the human virome, promoting viral persistence, reactivation, and expansion of pathogenic viral communities. This review explores the intricate relationship between β-thalassemia and the human virome, focusing on how clinical interventions and immune abnormalities reshape viral dynamics, persistence, and pathogenicity. Patients with β-thalassemia exhibit profound innate and adaptive immune dysregulation, including neutrophil dysfunction, T cell senescence, impaired B cell and NK cell activity, and expansion of myeloid-derived suppressor cells. These alterations create an immunological niche that favors viral reactivation and virome expansion. Iron overload enhances viral replication, while chronic transfusions introduce transfusion-transmitted viruses. Splenectomy and allo-HSCT further compromise viral surveillance. Additionally, disruptions in the gut virome, particularly bacteriophage-driven dysbiosis, may exacerbate inflammation and impair host–virus homeostasis. The human virome is not a passive bystander but a dynamic player in the pathophysiology of β-thalassemia. Understanding virome–immune interactions may offer novel insights for infection monitoring, risk stratification, and precision therapies in thalassemic patients.

3 October 2025

Different viruses in human virome. Bacteriophages, eukaryotic RNA viruses, eukaryotic DNA viruses, and endogenous retroviruses colonize the human body [8].

Background/Objectives: Thalassemias, a hereditary condition commonly linked to chronic anemia, require regular blood transfusions and repeated blood draws for assessments of hemoglobin (Hb) content, which can be uncomfortable. A promising substitute for laboratory hemoglobin testing is non-invasive spectrophotometric hemoglobin (SpHb) monitoring; however, its applicability particularly among blood transfusion-dependent thalassaemic patients needs to be investigated. This study’s primary goal was to investigate the relationships and agreements between SpHb, g/dL, and an automated hematology analyzer (Hb, g/dL) in this particular patient population. The secondary goal was to track how blood transfusions affect SpHb, g/dL, laboratory Hb, and pleth variability index (PVI, %). Methods: In this study, sixty patients were included. A Masimo Radical-7 pulse CO-oximeter was used to measure the SpHb, and a Sysmex XN-1000 hematological analyzer measured the laboratory Hb. Results: The results revealed a significant correlation between SpHb and laboratory Hb (n = 108, r = 0.587, p < 0.001) but also demonstrated that SpHb consistently overestimated laboratory Hb levels, with a mean bias of −1.18 g/dL (95% CI: −1.4344 to −0.9267). The Bland–Altman analysis showed a good degree of reliability between this bias (SpHb–Hb) and laboratory Hb (g/dL), with an Intra Class Correlation (ICC) of 0.613 but with a wide 95% CI ranging from 0.557 to 0.736 (t = 3.817, p < 0.001). The 95% limits of agreement ranged from −3.7893 to +1.4228 g/dL. Conclusions: This significant bias restricted the application of SpHb as a trustworthy method for assessing hemoglobin levels in patients with blood transfusion-dependent thalassemia. Nonetheless, the capability to monitor SpHb and PVI variations during blood transfusions offered a real-time assessment of the impact of transfusions on patients’ hemoglobin levels and volume status.

10 September 2025

Dot plots with connecting lines for mean and 25th to 75th percentiles of both spectrophotometric hemoglobin (SpHb, g/dL) and laboratory hemoglobin (Hb, g/dL). SpHb overestimated (mean difference = 1.180) laboratory Hb concentration values. Paired samples t test was performed.

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Thalass. Rep. - ISSN 2039-4365