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1.
J. bras. econ. saúde (Impr.) ; 11(2): 105-111, Agosto/2019.
Article in English | ECOS, LILACS | ID: biblio-1021033

ABSTRACT

Objective: To perform a cost-minimization analysis comparing the cohort with the current average patient weight of 70 kg (MoH current assumption). Since most rheumatoid arthritis (RA) patients in Brazil are women (60 kg or less), we also aimed to define this percentage at Brazilian public healthcare system (SUS). Methods: Treatment-naïve RA patients using biologics from January 2008 to November 2018 were retrieved from Datasus as well as the number of patients ≤ 60 kg and their drug use distribution. Data on drug costs were assessed from the last payment reported by MoH and then recalculated using the weighted average of 60 kg and a 52-weeks a year to assess cost-minimization. Results: In the studied cohort, 33,646 patients (33.3%) were classified as ≤ 60 kg. Annual cost per patient, considering an average weight of 60 kg, ranged from 2,872,29 USD to 4,223.93 USD. Tocilizumab 80 mg was the only drug demonstrating a reduction in annual cost per patient (-526.79 USD). Conclusion: Cost-minimization analysis based on weight-dependent dosage showed that tocilizumab could reduce MoH costs with RA treatment in 14.28%. By adopting weight-dependent dose of 60 kg, the Brazilian government could save up to 916,651.31 USD per year using tocilizumab versus other biological disease-modifying antirheumatic drugs (DMARDs). In ten years, it represents an accumulative saving of 9,166,513.57 USD.


Objetivo: Realizar uma análise de custo-minimização comparando a coorte com o peso médio de pacientes de 70 kg (atual premissa do Ministério da Saúde ­ MS). Como a maioria dos pacientes são mulheres (≤ 60 kg), também se objetivou definir esse percentual no sistema público de saúde brasileiro (SUS). Métodos: Pacientes com artrite reumatoide (AR) virgens de tratamento utilizando biológicos de janeiro/2008 a novembro/2018 foram retirados do Datasus, assim como o número de pacientes com ≤ 60 kg e a distribuição de uso das drogas. Os custos dos medicamentos foram avaliados a partir do último pagamento relatado pelo MS e recalculados utilizando a média de 60 kg e um ano de 52 semanas para estimar a custo-minimização. Resultados: Na coorte estudada, 33.646 pacientes (33,3%) foram classificados com ≤ 60 kg. O custo anual por paciente, considerando o peso médio de 60 kg, variou de 2.872.29 a 4.223,93 USD. Tocilizumabe 80 mg foi o único que demonstrou redução no custo anual por paciente (-526,79 USD). Conclusão: A custo-minimização baseada em dose peso-dependente mostrou que o tocilizumabe poderia reduzir os custos do MS no tratamento de AR em 14,28%. Ao adotar o peso de 60 kg, o governo poderia economizar até 916.651,31 USD ao ano utilizando tocilizumabe vs. outros medicamentos modificadores do curso da doença biológicos (MMCDb). Em 10 anos, isso representa uma economia acumulada de 9.166.513,57 USD.


Subject(s)
Humans , Arthritis, Rheumatoid , Unified Health System , Costs and Cost Analysis
2.
Psychiatry Investigation ; : 566-568, 2015.
Article in English | WPRIM | ID: wpr-34499

ABSTRACT

In our previous study, a prolactin elevation was more frequently in risperidone than in blonanserin; however, it was more often in blonanserin than in olanzapine. Therefore, while a rate of PRL rising is low to moderate, hyperprolactinemia is a considerable adverse effect in the blonanserin treatment. In this study, to examine detailed characteristics of hyperprolactinemia of blonanserin, we analyzed the prolactin data in six schizophrenic patients who were switched to blonanserin from other antipsychotics and followed for one year. As a result, blonanserin dose was clearly associated with serum prolactin level. The average prolactin level was almost normal when the mean blonanserin dosage was 8.0 mg/day. Regardless of the dose decrease of blonanserin, there were no remarkable changes in symptoms and social functions. Based on our findings, we conclude that low dose blonanserin medication may be useful for schizophrenia maintenance treatment without hyperprolactinemia and a high rate of relapse.


Subject(s)
Humans , Antipsychotic Agents , Follow-Up Studies , Hyperprolactinemia , Prolactin , Recurrence , Risperidone , Schizophrenia
3.
Journal of Clinical Neurology ; : 289-295, 2014.
Article in English | WPRIM | ID: wpr-202210

ABSTRACT

BACKGROUND AND PURPOSE: The aim of this study was to elucidate the role of therapy-related cardiotoxicity in multiple sclerosis (MS) patients treated with mitoxantrone and to identify potential predictors for individual risk assessment. METHODS: Within a multicenter retrospective cohort design, cardiac side effects attributed to mitoxantrone were analyzed in 639 MS patients at 2 MS centers in Germany. Demographic, disease, treatment, and follow-up data were collected from hospital records. Patients regularly received cardiac monitoring during the treatment phase. RESULTS: None of the patients developed symptomatic congestive heart failure. However, the frequency of patients experiencing cardiac dysfunction of milder forms after mitoxantrone therapy was 4.1% (26 patients) among all patients. Analyses of the risk for cardiotoxicity revealed that cumulative dose exposure was the only statistically relevant risk factor associated with cardiac dysfunction. CONCLUSIONS: The number of patients developing subclinical cardiac dysfunction below the maximum recommended cumulative dose is higher than was initially assumed. Interestingly, a subgroup of patients was identified who experienced cardiac dysfunction shortly after initiation of mitoxantrone and who received a low cumulative dose. Therefore, each administration of mitoxantrone should include monitoring of cardiac function to enhance the treatment safety for patients and to allow for early detection of any side effects, especially in potential high-risk subgroups (as determined genetically).


Subject(s)
Humans , Cohort Studies , Follow-Up Studies , Germany , Heart Failure , Hospital Records , Mitoxantrone , Multiple Sclerosis , Retrospective Studies , Risk Assessment , Risk Factors
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