Assessment of Adherence to Cardiovascular Medicines in Saudi Population: An Observational Study in Patients Attending a Tertiary Care Hospital.

BACKGROUND: Drug adherence has been extensively evaluated in many developed countries in the West using different methods of medication adherence measurement; however, there are relatively few reports studying the adherence levels among Saudi patients. Thus, this study will evaluate the adherence to cardiovascular medicines in Saudi patients visiting (PSCC) in Al-Qassim, Saudi Arabia. METHODS: This cross-sectional observational study relied on self-administered questionnaires. This study used the Morisky, Green, and Levine (MGL) Adherence Scale, also known as the MAQ (Medication Adherence Questionnaire), in PSCC's pharmacy waiting room in Qassim, Saudi Arabia. RESULTS: This study included 993 PSCC pharmacy waiting room patients. The patients were between 11 and 50 years old, and 52.7 percent were male. Most participants (71.2%) were above 50, while 16.3% were 41-50. Non-adherent patients cited traveling or being busy (28.6%), forgetting (18.7%), daily multi-medications (7.1%), being sleepy or sleeping (6.6%), and not repeating the prescription (6.6%). The Medicine Adherence Questionnaire indicated that 62.6 percent of patients fully adhered to their medications, and 21.6 percent usually adhered. Only drug adverse effects affected adherence (p =0.0001). CONCLUSION: The current study showed that there is a good level of adherence among patients with cardiovascular diseases toward their diseases. The most common reasons for neglecting medications include traveling or being busy, forgetting multiple medications, and being tired or sleeping. Having experience with side effects was the only significant factor affecting adherence to medications.

Whole Proteome-Based Therapeutic Targets Annotation and Designing of Multi-Epitope-Based Vaccines against the Gram-Negative XDR-Alcaligenes faecalis Bacterium.

This study involved therapeutic targets mining for the extremely drug-resistant bacterial species called Alcaligenes faecalis, which is known to infect humans. The infections caused by this species in different parts of the human body have been linked with a higher degree of resistance to several classes of antibiotics. Meanwhile, alternate therapeutic options are needed to treat these bacterial infections in clinical settings. In the current study, a subtractive proteomics approach was adapted to annotate the whole proteome of Alcaligenes faecalis and prioritize target proteins for vaccine-related therapeutics design. This was followed by targeted protein-specific immune epitope prediction and prioritization. The shortlisted epitopes were further subjected to structural design and in silico validation of putative vaccines against Alcaligenes faecalis. The final vaccine designs were also evaluated for potential interaction analysis with human TLR-2 through molecular docking. Finally, the putative vaccines were subjected to in silico cloning and immune simulation approaches to ensure the feasibility of the target-specific vaccine constructs in further experimental designs.

Three-dimensional evaluation of marginal and internal fit of 3D-printed interim restorations fabricated on different finish line designs.

PurposeTo evaluate the influence of fabrication method and finish line design on marginal and internal fit of full-coverage interim restorations. MethodsFour typodont models of maxillary central-incisor were prepared for full-coverage restorations. Four groups were defined; knife-edge (KE), chamfer (C), rounded-shoulder (RS), rounded-shoulder with bevel (RSB). All preparations were digitally scanned. A total of 80 restorations were fabricated; 20 per group (SLA/3D-printed n=10, milled n=10). All restorations were positioned on the master die and scanned using micro-computed tomography. The mean gaps were measured digitally (ImageJ). The results were compared using MANOVA (α=.05). ResultsInternal and marginal gaps were significantly influenced by fabrication method (P=.000) and finish-line design (P=.000). 3D-Printed restorations showed statistically significant lower mean gap compared to milled restorations at all points (P=.000). The mean internal gap for 3D-printed restorations were 66, 149, 130, 95µm and for milled restorations were 89, 177, 185, 154µm for KE, C, RS, RSB respectively. The mean absolute marginal discrepancy in 3D-printed restorations were (30, 41, 30, 28µm) and in milled restorations were (56, 54, 52, 38µm) for KE, C, RS, RSB respectively. ConclusionsThe fabrication methods showed more of an influence on the fit compared to the effect of the finish-line design in both milled and printed restorations. SLA-printed interim restorations exhibit lower marginal and internal gap than milled restorations. Nonetheless, for both techniques, all values were within the reported values for CAD/CAM restorations. Significance3D-printing can offer an alternative fabrication method comparable to those of milled restorations.

Depression among migrant workers in Al-Qassim, Saudi Arabia.

BACKGROUND: Mental disorders are common among migrant workers. There is no data on depression in Saudi Arabia among them; although, they are a third of the population. OBJECTIVE: To determine the prevalence of depression and to assess its relationship with duration of stay and living condition in a sample of migrant workers. METHODS: A cross-sectional survey of 400 migrant workers was conducted in Al-Qassim region of Saudi Arabia. Exposure and covariate factors were assessed with a standardized questionnaire, depression with the CES-D (Center for Epidemiological Studies on Depression) scale, and physical indices (e.g. weight, height, and blood pressure) with a general examination. Logistic regression was used to identify significant correlates of depression. RESULTS: Depression prevalence was 20%; it did not vary by duration of stay or living condition but by age, stress, and self-reported health. In the multivariate model, those who reported 'moderate' or 'high' levels of stress were 1.7 (95% CI: 0.9, 3.1) and 3.9 (95% CI: 1.7, 9.1) times more likely to have depression (reference ='low' level), respectively. Similarly, those who rated their health either 'good' or 'fair to very poor' were 3.4 (95% CI: 1.9, 6.1) and 4.8 (95% CI: 2.3, 10.1) times more likely to have depression (reference ='excellent/very good'), respectively. LIMITATIONS: The data were collected from one company and pertained to only male participants, and the study design could not establish temporal sequence between the exposure and outcome variables. CONCLUSION: Depression is considerably high in this population; a large-scale and nationally representative survey is needed to validate the findings.