RESUMO
Background: Rivaroxaban is a novel oral anticoagulant (NOAC) that is commonly used for stroke prevention among patients with atrial fibrillation (AF). However, its cost effectiveness in reducing the risk of hospitalization and mortality in comparison to warfarin among nonvalvular AF patients in Saudi Arabia is largely unknown. Methods: This was a single-center retrospective chart review of adult patients (≥18 years) with nonvalvular AF who were treated with warfarin or rivaroxaban for at least 12 months. Patients with mitral valve stenosis were excluded from the study. Multiple logistic regression was conducted to examine the risk of hospitalization and mortality as a composite outcome, and all annual healthcare costs were captured. Inverse probability treatment weighting with bootstrapping was conducted to determine the mean costs and effectiveness rates. Results: Two-hundred and twenty-six patients (142 on rivaroxaban and 84 on warfarin) met the inclusion criteria and were included in the analysis. Most of the patients were females (65.91 %), had diabetes (50.57 %) and hypertension (73.76 %), and with a mean age of 68.95 ± 12.55 years. No significant difference in the odds of the composite outcome for rivaroxaban versus warfarin was found (OR = 0.785, 95 % CI = [0.427-1.446], p = 0.443). Rivaroxaban resulted in a mean annual cost saving of $13,260.79 with an 87.65 % confidence level that it would be more effective than warfarin with a mean difference in effectiveness rate of 0.168 % (95 % CI [-5.210-18.36]). Conclusion: Rivaroxaban was associated with lower direct medical costs and non-inferior effectiveness among nonvalvular AF patients in comparison to warfarin.
RESUMO
The aim of this article is to analyze the delay influence on the attraction for a scalar tick population dynamics equation accompanying two disparate delays. Taking advantage of the fluctuation lemma and some dynamic inequalities, we derive a criterion to assure the persistence and positiveness on the considered model. Furthermore, a time-lag-dependent condition is proposed to insure the global attractivity for the addressed model. Besides, we give some simulation diagrams to substantiate the validity of the theoretical outcomes.
Assuntos
Carrapatos , Animais , Dinâmica Populacional , Simulação por ComputadorRESUMO
A highly accelerating number of people around the world have been infected with novel Coronavirus disease 2019 (COVID-19). Mass screening programs were suggested by the World Health Organization (WHO) as an effective precautionary measure to contain the spread of the virus. On 16 April 2020, a COVID-19 mass screening program was initiated in Saudi Arabia in multiple phases. This study aims to analyze the number of detected COVID-19 cases, their demographic data, and regions most affected in the initial two phases of these mass screening programs. A retrospective cross-sectional study was conducted among the high-risk population as part of the COVID-19 mass screening program across all regions in Saudi Arabia during April and May 2020. A Chi-square-test was used to determine the associations between positive cases and various demographic variables. Out of 71,854 screened individuals, 13.50% (n = 9701) were COVID-19 positive, of which 83.27% (n = 59,835) were males. Among positive cases, in the 30-39 years age group, 6.36% were in the active phase, and 2.19% were in the community phase. Based on our experience, launching mass screening programs is crucial for early case detection, isolation, and pattern recognition for immediate public interventions.
