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Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection

机译:电子卫生信息学数据描述乙型肝炎表面抗原(HBsAg)和慢性乙型肝炎病毒感染中的抗原(HBsAg)和E抗原(HBeAg)的清除动力学

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摘要

Advances in the diagnosis, monitoring, and treatment of hepatitis B virus (HBV) infection are urgently required if we are to meet international targets for elimination by the year 2030. Here we demonstrate how routine clinical data can be harnessed through an unbiased electronic pipeline, showcasing the significant potential for amassing large clinical data sets that can help to inform advances in patient care and provide insights that may help to inform new cure strategies. Our cohort from a large UK hospital includes adults from diverse ethnic groups that have previously been underrepresented in the literature. By tracking two protein biomarkers that are used to monitor chronic HBV infection, we provide new insights into the timelines of HBV clearance, both on and off treatment. These results contribute to improvements in individualized clinical care and may provide important clues into the immune events that underpin disease control.HBsAg and HBeAg have gained traction as biomarkers of control and clearance during chronic hepatitis B virus infection (CHB). Improved understanding of the clearance correlates of these proteins could help inform improvements in patient-stratified care and advance insights into the underlying mechanisms of disease control, thus underpinning new cure strategies. We collected electronic clinical data via an electronic pipeline supported by the National Institute for Health Research Health Informatics Collaborative (NIHR HIC), adopting an unbiased approach to the generation of a robust longitudinal data set for adults testing HBsAg positive from a large UK teaching hospital over a 6-year period (2011 to 2016 inclusive). Of 553 individuals with CHB, longitudinal data were available for 319, representing >107,000 weeks of clinical follow-up. Among these 319 individuals, 13 (4%) cleared HBsAg completely. Among these 13, the HBsAg clearance rate in individuals on nucleos(t)ide analogue (NA) therapy (n = 4 [31%]; median clearance time,150 weeks) was similar to that in individuals not on NA therapy (n = 9 [69%]; median clearance time, 157 weeks). Those who cleared HBsAg were significantly older and less likely to be on NA therapy than nonclearers (P = 0.003 and P = 0.001, respectively). Chinese ethnicity was associated with HBeAg positivity (P = 0.025). HBeAg clearance occurred in individuals both on NA therapy (n = 24; median time, 49 weeks) and off NA therapy (n = 19; median time, 52 weeks). Improved insights into the dynamics of these biomarkers can underpin better prognostication and patient-stratified care. Our systematized approach to data collection paves the way for scaling up efforts to harness clinical data to address research questions and support improvements in clinical care.
机译:在诊断的进步,都迫切需要监控和乙型肝炎病毒(HBV)感染的治疗,如果我们在2030年在这里我们演示如何临床常规数据可以通过一个公正的电子管道被利用,以满足国际消除的目标,展示了积累大量临床数据集,可以帮助告知患者护理的进步,并提供见解,可能有助于告知新的治疗策略显著潜力。我们从英国一家大型医院的人群包括来自先前已在文献中代表性不足多元族群的成年人。通过跟踪用于监视慢性HBV感染两个蛋白质生物标志物,我们提供新的见解病毒清除的时间表,无论在关闭处理。这些结果有助于个性化临床护理的改进和可能提供重要线索进入免疫活动,巩固疾病control.HBsAg和HBeAg已开始流行,为慢性乙肝病毒感染者(CHB)过程中控制和清除的生物标志物。这些蛋白的清除相关因素有更好的了解可以帮助告知患者分层护理和提前改进洞察到疾病控制的基本机制,从而托换的新治疗策略。我们通过由国家卫生研究所医疗信息协同(NIHR HIC)支持的电子管道收集的电子临床数据,采取不偏不倚的态度,以一个强大的纵向数据集的生成成年人了来自英国一家大型教学医院检测HBsAg阳性6年间(2011至2016年包括在内)。 553个个体CHB的,纵向的数据可为319,代表>107000周临床随访的。其中319个人,13(4%),乙肝表面抗原清除彻底。在这些图13,在个人的HBsAg清除率上核苷(酸)IDE类似物(NA)治疗(n = 4的[31%];中值的间隙时间150周)相似,在未对NA治疗个体(N = 9 [69%];中值清除时间157周)。这些谁清除乙肝表面抗原是显著老年人和不太可能对治疗NA比nonclearers(P = 0.003和P = 0.001)。中国民族与e抗原阳性(P = 0.025)有关。 HBeAg清除发生在上NA治疗个体两者(N = 24;中位数时间49周)和关断NA治疗(N = 19;中位数时间,52周)。改进的见解,这些生物标志物的动态可以更好地巩固和预测患者分层护理。我们系统化的数据收集方法铺平了道路,扩大努力挖掘临床数据以临床护理地址研究问题和支持改进的方式。

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