Oke Jason, Clements Alison, McLellan Julie, Bankhead Clare, Taylor Clare J, Spence Graeme, Banerjee Amitava, Perera Rafael
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Farr Institute of Health Informatics Research, University College London, London, UK.
Open Heart. 2018 Oct 8;5(2):e000826. doi: 10.1136/openhrt-2018-000826. eCollection 2018.
To identify the key components of natriuretic peptide (NP)-guided treatment interventions which reduced hospitalisation in patients with heart failure (HF).
We extracted detailed information on the components of interventions from studies of NP-guided treatment of HF identified in a previous systematic review. We used meta-regression techniques to assess univariate associations between components and the strength of the reduction in HF hospitalisations and all-cause mortality. A Bayesian meta-analysis approach was used to re-estimate study-level effects in order to identify the study with the most effective NP-guided monitoring intervention. Finally, we examined the intervention options common to the studies in which the 95% credible interval excluded no effect. We identified eight components of NP-guided treatment from ten studies. Univariate comparisons produced mainly equivocal results, but single trial choice and common components analysis led to similar conclusions. Using a predefined treatment protocol, setting a stringent NP target (N-terminal pro-B-type natriuretic peptide of 1000 pg/mL or B-type natriuretic peptide 100 pg/mL) and including a relative targetwere potential key components to reducing HF hospitalisations using NP-guided therapy.
This analysis provides a description of the key components of NP-guided treatment which could help policy makers develop specific recommendations for HF management. Our research suggests that NP-guided interventions could be simplified, but more research in relevant health settings, such as primary care, is required.
确定利钠肽(NP)指导的治疗干预措施的关键组成部分,这些措施可减少心力衰竭(HF)患者的住院率。
我们从先前系统评价中确定的NP指导的HF治疗研究中提取了干预措施组成部分的详细信息。我们使用元回归技术评估各组成部分与HF住院率降低强度及全因死亡率之间的单变量关联。采用贝叶斯元分析方法重新估计研究水平效应,以确定NP指导的监测干预措施最有效的研究。最后,我们研究了95%可信区间排除无效应的研究中常见的干预选项。我们从十项研究中确定了NP指导治疗的八个组成部分。单变量比较主要得出模棱两可的结果,但单项试验选择和共同组成部分分析得出了相似的结论。使用预定义的治疗方案、设定严格的NP目标(N末端B型利钠肽原1000 pg/mL或B型利钠肽100 pg/mL)并纳入相对目标,是使用NP指导治疗降低HF住院率的潜在关键组成部分。
本分析描述了NP指导治疗的关键组成部分,这有助于政策制定者制定HF管理的具体建议。我们的研究表明,NP指导的干预措施可以简化,但需要在初级保健等相关卫生环境中进行更多研究。