PWV, pulse wave velocity

  • 文章类型: Journal Article
    蛋白酶体抑制剂(PIs)是多发性骨髓瘤和AL淀粉样变性患者联合治疗的骨干,同时也出现在Waldenström巨球蛋白血症和其他恶性肿瘤中。PIs作用于蛋白酶体肽酶,由于积累聚集而导致蛋白质组不稳定,展开,和/或受损的多肽;持续的蛋白质组不稳定性然后诱导细胞周期停滞和/或细胞凋亡。卡菲佐米,静脉内不可逆PI,与口服给药的Ixazomib或静脉内可逆性PI如硼替佐米相比,表现出更严重的心血管毒性特征。心血管毒性包括心力衰竭,高血压,心律失常,和急性冠脉综合征。因为PI是血液系统恶性肿瘤和淀粉样变性治疗的关键组成部分,管理他们的心血管毒性包括识别有风险的患者,在临床前水平早期诊断毒性,并在需要时提供心脏保护。未来的研究需要阐明潜在的机制,改善风险分层,定义最优管理策略,并开发具有安全心血管特征的新PI。
    Proteasome inhibitors (PIs) are the backbone of combination treatments for patients with multiple myeloma and AL amyloidosis, while also indicated in Waldenström\'s macroglobulinemia and other malignancies. PIs act on proteasome peptidases, causing proteome instability due to accumulating aggregated, unfolded, and/or damaged polypeptides; sustained proteome instability then induces cell cycle arrest and/or apoptosis. Carfilzomib, an intravenous irreversible PI, exhibits a more severe cardiovascular toxicity profile as compared with the orally administered ixazomib or intravenous reversible PI such as bortezomib. Cardiovascular toxicity includes heart failure, hypertension, arrhythmias, and acute coronary syndromes. Because PIs are critical components of the treatment of hematological malignancies and amyloidosis, managing their cardiovascular toxicity involves identifying patients at risk, diagnosing toxicity early at the preclinical level, and offering cardioprotection if needed. Future research is required to elucidate underlying mechanisms, improve risk stratification, define the optimal management strategy, and develop new PIs with safe cardiovascular profiles.
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  • 文章类型: Journal Article
    妊娠高血压疾病(HDP)是全球孕产妇发病和死亡的主要原因。不幸的是,这些疾病的发展缺乏准确的早期临床筛查方法。动脉僵硬度(AS)是血管健康的重要血液动力学指标,已显示出预测HDP发作的有希望的结果。该领域过去的系统评价报告了发生HDP的妇女AS指数的增加,并强调了AS测量作为妊娠早期预测工具的潜力。最近的系统审查,包括截至2015年的论文,评估了有和没有妊娠并发症的女性之间AS参数的差异。从那以后,关于该主题的已发表研究大量涌入,并且对将AS测量纳入临床实践的兴趣日益浓厚。因此,我们提出了一项系统综述和荟萃分析,该综述和荟萃分析更涵盖所有HDP亚群和血管健康的各种血液动力学指标,以全面概述目前的证据状况.具体来说,我们的目标是评估与正常血压妊娠相比发生HDPs的女性的这些指标,以确定哪些指标与HDPs的发生最相关和/或可以预测HDPs的发生.主要数据库(Medline,Embase,科克伦图书馆,WebofScience,PubMed,和CINAHL),将搜索灰色文献(GoogleScholar)和临床试验(clinicaltrials.gov),以确定报告有和没有HDP的孕妇AS和血液动力学测量的研究。对研究类型或年份没有限制。文章将由三位作者独立评估,以根据纳入和排除标准确定资格。将评估纳入研究的方法学质量。将使用随机效应模型进行汇集分析。还将评估发表偏倚和研究之间的异质性。异质性的来源将通过敏感性来探索,子组,和/或荟萃回归分析。这项研究的结果将通过科学会议和科学期刊上的出版物分享。对HDP发病的潜在AS和血流动力学标志物的分析将有助于制定筛查指南和临床相关的AS和HDP风险的血流动力学标志物的临界值。指导未来的研究。编写本协议没有适用的道德考虑。
    Hypertensive disorders of pregnancy (HDPs) are a leading cause of maternal morbidity and mortality worldwide. Unfortunately, accurate early clinical screening methods for the development of these disorders are lacking. Arterial stiffness (AS) is an important hemodynamic indicator of vascular health that has shown promising results for the prediction of HDP onset. Past systematic reviews in the field have reported an increase in AS indices in women who develop HDPs and have highlighted the potential of AS measurements as a predictive tool early in pregnancy. The most recent systematic review, including papers up to 2015, assessed the differences in AS parameters between women with and without pregnancy complications. Since then, there has been a substantial influx of published research on the topic and a growing interest in the incorporation of AS measurements into clinical practice. Thus, we propose a systematic review and meta-analysis that is more inclusive to all HDP subsets and various hemodynamic indices of vascular health to provide a comprehensive overview of the current state of evidence. Specifically, we aim to evaluate these measures in women who develop HDPs compared to normotensive pregnancies to determine which measures are most associated with and/or can predict the development of HDPs. Major databases (Medline, Embase, The Cochrane Library, Web of Science, PubMed, and CINAHL), grey literature (Google Scholar) and clinical trials (clinicaltrials.gov) will be searched to identify studies that report AS and hemodynamic measurements in pregnant women with and without HDPs. No restrictions will be made on study type or year. Articles will be independently evaluated by three authors to determine eligibility based on inclusion and exclusion criteria. Methodological quality of included studies will be assessed. Pooled analyses will be conducted using a random-effects model. Publication bias and between-study heterogeneity will also be assessed. Sources of heterogeneity will be explored by sensitivity, subgroup, and/or meta-regression analyses. Results from this study will be shared through scientific conferences and publications in scientific journals. The analysis of potential AS and hemodynamic markers for HDP onset will help inform the development of screening guidelines and clinically relevant cut-off values of AS and hemodynamic markers for HDP risk, guiding future research. There are no applicable ethical considerations to the writing of this protocol.
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