Disease Knowledge and Treatment Adherence among Adult Patients with Thalassemia: A Cross-sectional Correlational Study

Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media

Objective

The main aim of this study was to use text mining on social media to analyze information and gain insight into the health-related concerns of thalassemia patients, thalassemia carriers, and their caregivers.

Methods

Posts from two Facebook groups whose members consisted of thalassemia patients, thalassemia carriers, and caregivers in Malaysia were extracted using the Data Miner tool. In this study, a new framework known as Malay-English social media text pre-processing was proposed for performing the steps of pre-processing the noisy mixed language (Malay-English language) of social media posts. Topic modeling was used to identify hidden topics within posts shared among members. Three different topic models-latent Dirichlet allocation (LDA) in GenSim, LDA in MALLET, and latent semantic analysis-were applied to the dataset with and without stemming using Python.

RESULTS

LDA in MALLET without stemming was found to be the best topic model for this dataset. Eight topics were identified within the posts shared by members. Of those eight topics, four were newly discovered by this study, and four others corresponded to the findings of previous studies that used an interview approach.

Conclusions

Topic 2 (the challenges faced by thalassemia patients) was found to be the topic with the highest attention and engagement. Healthcare practitioners and other concerned parties should make an effort to build a stronger support system related to this issue for those affected by thalassemia.

A Cross-Sectional Study of Detection of Beta Globin (HBB) Haplotypes Among Beta Thalassemia Patients

Introduction

Beta-thalassemia is among the most common monogenic disorders in the Arabian Peninsula. This study aimed to investigate the β-globin (HBB) haplotypes among β-thalassemia patients in Saudi cohort which have potential implications in understanding the clinical care of patients and population genetic factors associated with β-thalassemia.

Methods

We analyzed 60 β-thalassemia patients. Male/female distribution for β-thalassemia was 58.33%/41.66%. Results of hematological parameters and indices were obtained from the database. HBB haplotyping assay was performed for four specific loci of the HBB gene cluster using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique.

Results

HBB haplotyping assay identified three novel patterns namely haplotype 1, haplotype 2, and haplotype 3 and three common African haplotypes including Benin, Senegal, and Cameron. The frequency of haplotype 1 was the highest among the studied samples (62%, n = 37) with 56.76% (n = 21) observed in males compared to 43.24% (n = 16) in females. This was followed by Senegal, haplotype 2, Benin and haplotype 3 with similar percentage, and Cameron haplotype with 18%, 12%, 3% and 2%, respectively. The relationship between these haplotypes and various hematological parameters was calculated and our study found no significant relationship (p-value >0.05).

Conclusion

Our study indicated the importance of finding out types of β-globin haplotypes as novel types being discovered. Though no statistically significant association was identified among all the haplotypes in terms of hematological parameters, Cameroon or Benin haplotypes had the mildest form because they have the highest means among all parameters. Further studies need to be carried out on a larger population to detect the frequency of each specific mutation in each haplotype among β-thalassemia patients. This would help to re-address the question of the origin(s) of the β-thalassemia.