Comparative effectiveness and cost-effectiveness of cardioprotective glucose-lowering therapies for type 2 diabetes in Brazil: a Bayesian network model.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-10-25 DOI:10.1186/s13561-023-00466-3
Ana Claudia Cavalcante Nogueira, Joaquim Barreto, Filipe A Moura, Beatriz Luchiari, Abrão Abuhab, Isabella Bonilha, Wilson Nadruz, J Michael Gaziano, Thomas Gaziano, Luiz Sergio F de Carvalho, Andrei C Sposito
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Abstract

Background: The escalating prevalence of type 2 diabetes (T2DM) poses an unparalleled economic catastrophe to developing countries. Cardiovascular diseases remain the primary source of costs among individuals with T2DM, incurring expenses for medications, hospitalizations, and surgical interventions. Compelling evidence suggests that the risk of cardiovascular outcomes can be reduced by three classes of glucose-lowering therapies (GLT), including SGLT2i, GLP-1A, and pioglitazone. However, an evidence-based and cost-effective protocol is still unavailable for many countries. The objective of the current study is to compare the effectiveness and cost-effectiveness of GLT in individuals with T2DM in Brazil.

Methods: We employed Bayesian Networks to calculate the incremental cost-effectiveness ratios (ICER), expressed in international dollars (Int$) per disease-adjusted life years [DALYs] averted. To determine the effectiveness of GLT, we conducted a systematic review with network meta-analysis (NMA) to provide insights for our model. Additionally, we obtained cardiovascular outcome incidence data from two real-world cohorts comprising 851 and 1337 patients in primary and secondary prevention, respectively. Our cost analysis took into account the perspective of the Brazilian public health system, and all values were converted to Int$.

Results: In the NMA, SGLT2i [HR: 0.81 (95% CI 0.69-0.96)], GLP-1A [HR: 0.79 (95% CI 0.67-0.94)], and pioglitazone [HR: 0.73 (95% CI 0.59-0.91)] demonstrated reduced relative risks of non-fatal cardiovascular events. In the context of primary prevention, pioglitazone yielded 0.2339 DALYs averted, with an ICER of Int$7,082 (95% CI 4,521-10,770) per DALY averted when compared to standard care. SGLT2i and GLP-1A also increased effectiveness, resulting in 0.261 and 0.259 DALYs averted, respectively, but with higher ICERs of Int$12,061 (95% CI: 7,227-18,121) and Int$29,119 (95% CI: 23,811-35,367) per DALY averted. In the secondary prevention scenario, all three classes of treatments were deemed cost-effective at a maximum willingness-to-pay threshold of Int$26,700. Notably, pioglitazone consistently exhibited the highest probability of being cost-effective in both scenarios.

Conclusions: In Brazil, pioglitazone presented a higher probability of being cost-effective both in primary and secondary prevention, followed by SGLT2i and GLP-1A. Our findings support the use of cost-effectiveness models to build optimized and hierarchical therapeutic strategy in the management of T2DM.

Trial registration: CRD42020194415.

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巴西2型糖尿病的心脏保护降糖治疗的比较有效性和成本效益:贝叶斯网络模型
背景:2型糖尿病(T2DM)患病率的不断上升给发展中国家带来了前所未有的经济灾难。心血管疾病仍然是T2DM患者的主要费用来源,包括药物、住院和手术干预费用。令人信服的证据表明,三类降血糖疗法(GLT)可以降低心血管后果的风险,包括SGLT2i、GLP-1A和吡格列酮。然而,许多国家仍然无法制定一项循证且具有成本效益的议定书。本研究的目的是比较GLT在巴西T2DM患者中的有效性和成本效益。方法:我们使用贝叶斯网络计算增量成本效益比(ICER),以国际美元(Int$)表示的每避免疾病调整生命年[DALYs]。为了确定GLT的有效性,我们使用网络荟萃分析(NMA)进行了系统综述,为我们的模型提供了见解。此外,我们从两个真实世界的队列中获得了心血管结果发病率数据,这两个队列分别包括851名和1337名一级和二级预防患者。我们的成本分析考虑了巴西公共卫生系统的观点,并将所有值转换为Int$。结果:在NMA中,SGLT2i[HR:0.81(95%CI 0.69-0.96)]、GLP-1A[HR:0.79(95%CI 0.65-0.94)]和吡格列酮[HR:0.73(95%CI 0.59-0.91)]显示非致命心血管事件的相对风险降低。在初级预防的背景下,吡格列酮避免了0.2339个DALY,与标准护理相比,每个DALY的ICER为7082 Int(95%CI 4521-10770)。SGLT2i和GLP-1A也提高了有效性,分别避免了0.261和0.259个DALY,但每个DALY的ICER更高,分别为12061 Int(95%CI:7227-18121)和29119 Int(95%CI:23811-35367)。在二级预防方案中,所有三类治疗都被认为具有成本效益,最高支付意愿阈值为26700 Int。值得注意的是,吡格列酮在这两种情况下始终表现出最高的成本效益概率。结论:在巴西,吡格列酮在一级和二级预防中具有较高的成本效益,其次是SGLT2i和GLP-1A。我们的研究结果支持使用成本效益模型来建立T2DM管理中的优化和分级治疗策略。试验注册号:CRD42020194415。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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