Objectives: To investigate trends in hemoglobinopathies following the establishment of a mandatory premarital screening program (MPMSP) in the southern region of Saudi Arabia, where they are considered highly predominant. Methods: A retrospective analysis was performed on data from 32,130 high-performance liquid chromatography (HPLC) tests between November 2017 and October 2020. The data was obtained from the Hematology section, Laboratory Department, Armed Forces Hospital, Southern Region. Results: Despite the establishment of the MPMSP, our data showed that sickle cell disease remains a predominant hemoglobinopathy accounting for more than 7% of total tests in Southern Saudi Arabia. Observed HPLC hemoglobin fractions among the tested population showed a reduction in Hb A mean indicating a high rate of hemoglobin abnormalities. In addition, the prevalence of hemoglobin variants, including sickle cell and thalassemia, was higher in the younger population born after the MPMSP than in older subjects. Conclusion: Even with the implementation of the MPMSP, hemoglobin abnormalities remain prevalent in southern Saudi Arabia. A longer time frame is recommended to verify the validity of the program.

Objectives: To provide an updated estimate to the prevalence of pediatric hematological malignancies (HMs) in the Al-Madinah Al-Munawwara, Saudi Arabia. Methods: This is a retrospective study that was carried out between 2016 and 2022. The study population was comprised of 171 children under 16 who had been diagnosed with HMs. The data was compiled from King Salman Medical City’s Maternity and Children’s Hospital, Al-Madinah Al-Munawwarah, Saudi Arabia. Results: Among the 171 HM patients (64% males and 36% females), 13 subtypes were identified, with B-cell acute lymphoblastic leukemia having the highest incidence (70.3%). Acute myelomonocytic leukemia (8.7%), T-cell acute lymphoblastic leukemia (4.7%), and acute promyelocytic leukemia (3.5%) were the next most common types of HMs. Other rare cases were also found. Conclusion: Prevalence rate can be utilized to monitor the progression of disease incidence. Here, HMs demonstrated a pattern of increasing incidence in males over a 7-year period, with a higher rate in early childhood. There were 13 types of HMs diagnosed, with B-acute lymphocytic leukemia having the highest incidence. Although juvenile cancer is rare, it is nonetheless a significant cause of mortality in children. A successful prognosis requires prompt and accurate diagnosis and treatment.

SARS-CoV-2 is a recently discovered virus that poses an urgent threat to global health. The disease caused by this virus is termed COVID-19. Death tolls in different countries remain to rise, leading to continuous social distancing and lockdowns. Patients of different ages are susceptible to severe disease, in particular those who have been admitted to an ICU. Machine learning (ML) predictive models based on medical data patterns are an emerging topic in areas such as the prediction of liver diseases. Prediction models that combine several variables or features to estimate the risk of people being infected or experiencing a poor outcome from infection could assist medical staff in the treatment of patients, especially those that develop organ failure such as that of the liver. In this paper, we propose a model called the detecting model for liver damage (DMLD) that predicts the risk of liver damage in COVID-19 ICU patients. The DMLD model applies machine learning algorithms in order to assess the risk of liver failure based on patient data. To assess the DMLD model, collected data were preprocessed and used as input for several classifiers. SVM, decision tree (DT), Naïve Bayes (NB), KNN, and ANN classifiers were tested for performance. SVM and DT performed the best in terms of predicting illness severity based on laboratory testing.

Introduction: Chronic radiation exposure, particularly among technicians using medical imaging instruments, may contribute to chronic disease, including renal dysfunction. Investigating the potential association of this exposure with biochemical changes may assist disease detection and prevention. Objectives: The study explores the risk of renal dysfunction among radiologic technologists (RTs) with ten years or more of diagnostic imaging experience to evaluate the association of accumulated radiation doses and possible renal injury. Patients and Methods: A retrospective analysis was performed on the effective accumulative radiation dose from 2009 to 2019 among RTs of radiological department at a general hospital in southern Saudi Arabia. Blood samples were collected, and key biomarkers analyzed using a fully automated biochemical analyzer. Serum levels of the following were measured; sodium, gamma-glutamyl transferase (GGT), chloride, creatine kinase (CK), calcium, albumin, urea, creatinine, lactate dehydrogenase, total protein and potassium. In statistical analysis, P<0.05 was considered significant. Results: Even with exposure to only low-level radiation sources, RTs were statistically predisposed to variation in biochemical profiles. RTs exhibited GGT and CK levels higher than that of controls, while serum chloride was significantly low. Conclusion: The current study found a significant change in renal biochemical profiles among RTs who had worked in a radiological department for more than ten years. The association between GGT, CK with Kidney diseases was reported in several reports. Chronic exposure to radiation may contribute to a rise in GGT and CK levels and reduction of chloride and thus could develop the risk of renal diseases.