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1.
Caspian J Intern Med ; 15(1): 124-131, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38463915

RESUMEN

Background: Possible association between minerals contributing and mortality related to stroke were seen, but prospective data on the relation of vitamin D, magnesium and calcium serum levels with stroke were inconsistent. Consideration about the potential health effects of minerals and nutrients, the current study was conducted. Methods: This analytical cross-sectional study was conducted on 216 stroke survivors who were referred to the Ayatollah Rouhani Hospital of Babol, Iran. Demographic characteristics, clinical variables, and serum mineral levels were completed in the checklist. Admit score and discharge scale of these patients were determined according to the National Institute of Health Stroke Scale. A path model was constructed to explore the interrelationship between variables and to verify the relationship between variables and disability discharges. Results: Of 216 stroke patients, 185 (85.6%) cases were ischemic. The discharge status of 29 (12.9%) cases were severe or expired. The patients with moderate and severe admit scores, hemorrhagic stroke type, diabetes mellitus, hypertension and live in the village significantly had a poor discharge disability scale (all of p<0.05). Of all direct paths, Mg (ß=-2.85), and among indirect paths, calcium(ß=-3.59) had the highest effect on the discharge scale. Only mg had affected the discharge scale through direct and indirect (ß=-2.45) paths and had the greatest reverse effect on the discharge scale (ß=-5.30; totally). Conclusion: Hypomagnesemia and hypocalcemia play a mediatory role in poor outcomes. Especially, hypomagnesemia was the direct parameter for poor outcomes. The independent role of each mineral in this issue is difficult to define and suggested for future study.

2.
Iran J Pharm Res ; 23(1): e143898, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39108643

RESUMEN

Background: Warfarin is the only approved anticoagulant for antithrombotic treatment in patients with mechanical prosthetic heart valves (MPHV). However, dosing warfarin is challenging due to its narrow therapeutic window and highly variable clinical outcomes. Both low and high doses of warfarin can lead to thrombotic and bleeding events, respectively, with these complications being more severe in individuals with sensitive genetic polymorphisms. Incorporating genetic testing could enhance the accuracy of warfarin dosing and minimize its adverse events. Objectives: This study aims to evaluate the utilities and cost-effectiveness of pharmacogenomics-guided versus standard dosing of warfarin in patients with MPHV in Iran. Methods: In this economic evaluation study, a cost-effectiveness analysis was conducted to compare pharmacogenomics-guided versus standard warfarin dosing. Data related to quality of life (QoL) were collected through a cross-sectional study involving 105 randomly selected MPHV patients using the EuroQol-5D (EQ-5D) Questionnaire. Costs were calculated with input from clinical experts and a review of relevant guidelines. Additional clinical data were extracted from published literature. The pharmacoeconomic threshold set for medical interventions within Iran's healthcare system was $1,500. A decision tree model was designed from the perspective of Iran's healthcare system with a one-year study horizon. Sensitivity analyses were also performed to assess the uncertainty of input parameters. Results: The utility scores derived from the questionnaire for standard and pharmacogenomics-guided warfarin treatments were 0.68 and 0.76, respectively. Genotype-guided dosing of warfarin was more costly compared to the standard dosing ($246 vs $69), and the calculated incremental cost-effectiveness ratio (ICER) was $2474 per quality-adjusted life year (QALY) gained. One-way sensitivity analyses showed that our model is sensitive to the percentage of time in the therapeutic range (PTTR), the cost of genetic tests, and the utility of both pharmacogenomics-guided and standard dosing arms. However, the probabilistic sensitivity analysis demonstrates the robustness of our model. Conclusions: Warfarin dosing with pharmacogenomics testing is currently not cost-effective. However, if the cost of genotyping tests decreases to $118, the ICER would become cost-effective.

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