Oman Medical Journal最新文献

Objectives: To evaluate the hypothesis that human leukocyte antigens (HLAs) confer susceptibility to schizophrenic disorders, by assessing their contribution to the risk of schizophrenia in a Yemeni population.

Methods: The researchers approached patients who had been diagnosed with schizophrenia at Al-Amal Hospital for Psychiatric Diseases, Sana'a. Controls were drawn randomly from the general population. The HLA class II alleles of the participants were examined. The genotypes of the HLA-DQB1 and HLA-DRB1 alleles were determined by polymerase chain reaction using sequence-specific primers.

Results: The subjects comprised 110 patients with schizophrenia, matched by an equal number of controls. The prevalence of HLA-DRB1*04 was significantly higher among patients than among controls (7.3% vs. 0.0%; p =0.003), as was HLA-DRB1*07 (62.7% vs. 17.3%, odds ratio (OR) = 8.1, 95% CI: 4.3-15.1; p < 0.001). HLA-DRBI*14 was significantly less prevalent among patients (0.9% vs. 11.8%, OR = 0.06, 95% CI: 0.01-0.50, χ² = 10.9; p < 0.001). HLA-DQB1*07 was the most common allele discovered in schizophrenia patients and was found to have a much higher incidence in patients than the control group (22.7% vs. 4.5%, OR = 6.2, 95%CI: 2.3-16.8, χ² = 15.4; p < 0.001).

Conclusions: The HLA-DQB1 and HLA-DRB1 gene loci are linked to schizophrenia in the Yemeni population, according to the current study's evidence.

Objectives: Increasing dependence on smartphones results in the appearance of psychological problems, especially among young people. This study aims to determine the rates of alexithymia and its relationship with smartphone addiction and psychological distress in university students.

Methods: A total of 2616 students (mean age = 22.5±3.5 years; 73.1% female) from universities in Egypt, Oman, and Pakistan were included in a cross-sectional and comparative study conducted through a web survey during the COVID-19 pandemic from October to December 2021. The following scales were used: Toronto Alexithymia Scale (TAS-20), Depression Anxiety Stress Scale (DASS-21), and Smartphone Addiction Scale-Short Version (SAS-SV). The survey also included questions related to sociodemographic and smartphone usage patterns.

Growing evidence in the medical literature has linked the COVID-19 vaccine as a potential trigger for the development or exacerbation of various autoimmune rheumatic diseases. To the best of our knowledge, we report one of the first cases of seropositive rheumatoid arthritis diagnosed after the messenger RNA COVID-19 vaccine.

Objectives: Routine blood donor screening of human T-cell lymphotropic virus (HTLV) has been practiced in Oman since 2017. Limited data exists on HTLV seroprevalence among Omanis. This study aims to determine the seroprevalence of HTLV-I/II among blood donors attending a hospital-based blood bank to assess the need for a universal versus targeted screening.

Methods: We conducted a retrospective review of blood donors' results attending a hospital blood bank between January 2017 and February 2020. Blood samples were screened for HTLV-I/II antibodies using ARCHITECT i2000SR. Reactive samples underwent further testing by immunoblot assay (MP Diagnostics HTLV Blot 2.4). Age, gender, and nationality were assessed. All components manufactured at the blood bank undergo leukoreduction before storage.

Results: A total of 24 469 first-time blood donors were screened for HTLV antibodies. Most participants were male (n = 22 186, 90.7%), and the majority were Omani (n = 22 711, 92.8%). The age range was 18 to 64 years, with a median of 32 years. The seroreactivity rate was 0.2% (43; 95% CI: 0.12-0.23). Confirmatory testing by immunoblot revealed three indeterminate results (7.9%), of which two were Omani and one non-Omani donor, and the remaining 40 seroreactive donors tested negative.

Conclusions: Our study revealed zero seroprevalence of confirmed HTLV among blood donors. The continuation of universal screening for first-time donors is a standard of care. With universal leukoreduction at Sultan Qaboos University Hospital and a very low risk of HTLV in Oman's population, the need for screening regular donors can be reconsidered if these findings are confirmed on a larger scale involving other blood banks in Oman.

Sanjad-Sakati syndrome is a rare autosomal recessive genetic disorder that presents solely in Arabian people. Our case was reported from the Fallujah Teaching Hospital for Women and Children in Fallujah, Iraq. This syndrome is associated with hypoparathyroidism, growth retardation, atypical facial appearance, and a variable degree of mental retardation. It is usually caused by genetic mutations of the tubulin-folding cofactor E (TBCE; 604934), which is located on the 1q42.3 chromosome. This case was confirmed by a genetic study which revealed a pathogenic variant in the homozygous state in the ^TBCE gene. Typically, the physical features of this case involve microcephaly, long and narrow face, beaked nose, deep-set eyes, large ears, thin lips, long philtrum, micrognathia, and small hands and feet. Although Sanjad-Sakati syndrome is an incurable disease, early diagnosis helps with appropriate palliative treatment of the patient, reducing other associated metabolic and electrolyte disturbances, and allows for a genetic study and counseling of the family, especially in our society due to the high rate of consanguinity.

Objectives: In medical research, the study's design and statistical methods are pivotal, as they guide interpretation and conclusion. Selecting appropriate statistical models hinges on the distribution of the outcome measure. Count data, frequently used in medical research, often exhibit over-dispersion or zero inflation. Occasionally, count data are considered ordinal (with a maximum outcome value of 5), and this calls for the application of ordinal regression models. Various models exist for analyzing over-dispersed data such as negative binomial, generalized Poisson (GP), and ordinal regression model. This study aims to examine whether the GP model is a superior alternative to the ordinal logistic regression (OLR) model, specifically in the context of zero-inflated Poisson models using both simulated and real-time data.

Methods: Simulated data were generated with varied estimates of regression coefficients, sample sizes, and various proportions of zeros. The GP and OLR models were compared using fit statistics. Additionally, comparisons were made using real-time datasets.

Results: The simulated results consistently revealed lower bias and mean squared error values in the GP model compared to the OLR model. The same trend was observed in real-time datasets, with the GP model consistently demonstrating lower standard errors. Except when the sample size was 1000 and the proportions of zeros were 30% and 40%, the Bayesian information criterion consistently favored the GP model over the OLR model.

Conclusions: This study establishes that the proposed GP model offers a more advantageous alternative to the OLR model. Moreover, the GP model facilitates easier modeling and interpretation when compared to the OLR model.

We report a rare case of idiopathic intracranial hypertension (IIH) with multiple cranial nerve palsies involving cranial nerves VI, VII, IX, and X in a 32-year-old female who had no prior comorbidities. Her condition improved rapidly on a ten-day regimen of acetazolamide and tablet topiramate. IIH should be considered in every patient presenting with persistent headache and multiple cranial nerve abnormalities. This paper also includes a literature review of similar cases.