Frailty and antineutrophil cytoplasmic antibody‐associated vasculitis: What do we know?

IF 1.2 Q4 IMMUNOLOGY
Henry H. L. Wu, Nina Brown, Rajkumar Chinnadurai
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The impact of aging on the pathophysiology of AAV is not fully known. Immune dysregulation induced by cell senescence is hypothesized to be a key factor, alongside a mixture of genetic and environmental factors.2 Frailty, an age-associated syndrome defined as a state of vulnerability to stressor events as the result of cumulative physiological decline, is associated with an increased risk of adverse outcomes—including falls, hospitalization, reduced quality of life (QoL), and earlier-than-expected death.3 Frailty status is independently linked with poor outcomes for a wide range of medical conditions. For aging patients with multimorbidities, the presence of frailty adds toward an already significant health burden. The combination of aging, frailty, and AAV increases the burden of chronic inflammation, with older individuals subject to malnutrition and sarcopenia, impaired mobility due to musculoskeletal and neurological pathology, decline in kidney function, cognitive deficits, and high levels of pain and fatigue affecting QoL (Figure 1). Evaluating the true extent of frailty and AAV disease severity with their variable phenotypical features is challenging for clinicians. It is difficult to identify at presentation what degree of illness is attributed to AAV disease activity or pre-existing frailty. There have been few studies that have investigated the relationship between frailty status and AAV outcomes. The emergence of original data on this topic recently suggests an increased interest and awareness of its clinical significance. We performed a scoping search in PubMed, Web of Science, EMBASE, Medline-ProQuest, and Google Scholar incorporating the keywords “frailty” and “vasculitis” to identify relevant indexed full articles and conference abstracts (Supporting Information: Table S1).4-9 Primarily, published studies aimed to determine the prevalence of frailty among older AAV patients, to address whether a more severe frailty status indicated worse AAV-associated outcomes including complication rates, and to determine if the perceived frailty status of older AAV patients improved with immunosuppressive treatment. These studies utilized various frailty assessment tools, allowing for comparisons to be made in relation to the application of frailty assessment tools within this context. From these early studies, we note the majority of included patients are classified in the robust, pre-frail, or mildly frail categories at the time point of baseline frailty status measurement, with relatively fewer individuals identified as being moderate or severely frail no matter which frailty assessment tool was used. Frailty assessment tools derived from the physical frailty (i.e., Clinical Frailty Scale [CFS] and FRAIL scale) and deficit accumulation models (i.e., Hospital Frailty Risk Score [HFRS] and Claims Frailty Index) are both used to measure baseline frailty status. When the CFS is used, there appears to be a significant association between frailty and mortality outcomes, with higher mortality rates being found in frailer AAV patients.4, 7 In reverse, the two studies that utilized the HFRS and Claims Frailty Index, respectively, did not conclude statistically significant associations between frailty status and mortality outcomes.6, 9 All of the studies illustrated no differences among AAV patients of varying frailty status in terms of progression toward kidney failure. Unsurprisingly, it was also concurred that frailty status is significantly associated with the occurrence of adverse events during follow-up, in particular infection-related complications. These findings provided preliminary conclusions relating to the utilization of frailty measurements when managing older AAV patients. It may help inform clinicians on the likelihood of adverse events (i.e., infective complications are most frequently immunosuppression related) according to the patient's degree of frailty, and in this respect, it provides guidance on whether treatment adjustments are needed. On the other hand, if used to decide whether early and aggressive intervention is beneficial, given many older patients are in the “robust” or “less frail” phase at baseline diagnosis, then-current results perhaps advise for a more cautious approach when using frailty measurements for this purpose. This is given a lack of clarity in the relationship between frailty status and AAV on a physiological level and also when we consider that links between frailty status and consequential outcome measures such as mortality and progression toward kidney failure remain unestablished within an AAV context. A similar issue applies when deciding how to treat and whether there is over- and undertreatment of older AAV patients based on frailty status alone. There are key limitations of these studies which should be recognized. First of all, most, if not all, of the frailty assessment tools included subjective components in the healthcare professional's assessment of frailty status. Though some extent of intra- and interobserver bias is likely inevitable, it may be helpful for future studies to use one of the frailty assessment tools as the reference standard to compare prognostic accuracies across numerous tools (e.g., for chronic kidney disease, the CFS demonstrated good diagnostic accuracy for frailty when using Frailty Phenotype as the reference standard).10 Furthermore, small sample sizes affected the study power and generalizability of results. Many of the studies were conducted retrospectively, and not all potential confounding factors (e.g., ethnicity) were statistically adjusted for. Prospective studies with larger data samples are required to form further conclusions. In summary, research on frailty and frailty assessment in AAV is of rising importance with the growth of an aging population worldwide. The intricate and multidimensional nature of the frailty syndrome and AAV suggest it is currently challenging to evaluate these elements independently to address their impact on the individual patient. Greater efforts in generating basic, translational, and clinical data on this topic are anticipated to hopefully provide better guidance toward a personalized frailty assessment and management approach for our older and potentially more vulnerable AAV patient population. Henry H. L. Wu: Conceptualization; investigation; writing—original draft; writing—review and editing. Nina Brown: Writing—review and editing. Rajkumar Chinnadurai: Writing—original draft; writing—review and editing; supervision. All the authors agree for the final version of the manuscript to be submitted for consideration of publication. The study is not funded by any organization. Nina Brown receives honorarium fees from CSL Vifor UK outside of this work. The remaining authors declare no conflict of interest. None declared. None declared. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.","PeriodicalId":74734,"journal":{"name":"Rheumatology & autoimmunity","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rheumatology & autoimmunity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/rai2.12098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is an autoimmune condition that mainly affects small vessels of the body. AAV is a condition that may have multisystem manifestations and has an increased prevalence among older individuals.1 AAV patients conventionally present with symptoms at 65 years of age or older. Previous studies have demonstrated worse clinical outcomes in the aging population. Many older patients live with various comorbidities in addition to potentially relapsing AAV. Dealing with the pathophysiological impact of AAV can be burdensome, as this multifaceted condition may lead to impairment of physical function and contribute to significant mental and emotional stress. The impact of aging on the pathophysiology of AAV is not fully known. Immune dysregulation induced by cell senescence is hypothesized to be a key factor, alongside a mixture of genetic and environmental factors.2 Frailty, an age-associated syndrome defined as a state of vulnerability to stressor events as the result of cumulative physiological decline, is associated with an increased risk of adverse outcomes—including falls, hospitalization, reduced quality of life (QoL), and earlier-than-expected death.3 Frailty status is independently linked with poor outcomes for a wide range of medical conditions. For aging patients with multimorbidities, the presence of frailty adds toward an already significant health burden. The combination of aging, frailty, and AAV increases the burden of chronic inflammation, with older individuals subject to malnutrition and sarcopenia, impaired mobility due to musculoskeletal and neurological pathology, decline in kidney function, cognitive deficits, and high levels of pain and fatigue affecting QoL (Figure 1). Evaluating the true extent of frailty and AAV disease severity with their variable phenotypical features is challenging for clinicians. It is difficult to identify at presentation what degree of illness is attributed to AAV disease activity or pre-existing frailty. There have been few studies that have investigated the relationship between frailty status and AAV outcomes. The emergence of original data on this topic recently suggests an increased interest and awareness of its clinical significance. We performed a scoping search in PubMed, Web of Science, EMBASE, Medline-ProQuest, and Google Scholar incorporating the keywords “frailty” and “vasculitis” to identify relevant indexed full articles and conference abstracts (Supporting Information: Table S1).4-9 Primarily, published studies aimed to determine the prevalence of frailty among older AAV patients, to address whether a more severe frailty status indicated worse AAV-associated outcomes including complication rates, and to determine if the perceived frailty status of older AAV patients improved with immunosuppressive treatment. These studies utilized various frailty assessment tools, allowing for comparisons to be made in relation to the application of frailty assessment tools within this context. From these early studies, we note the majority of included patients are classified in the robust, pre-frail, or mildly frail categories at the time point of baseline frailty status measurement, with relatively fewer individuals identified as being moderate or severely frail no matter which frailty assessment tool was used. Frailty assessment tools derived from the physical frailty (i.e., Clinical Frailty Scale [CFS] and FRAIL scale) and deficit accumulation models (i.e., Hospital Frailty Risk Score [HFRS] and Claims Frailty Index) are both used to measure baseline frailty status. When the CFS is used, there appears to be a significant association between frailty and mortality outcomes, with higher mortality rates being found in frailer AAV patients.4, 7 In reverse, the two studies that utilized the HFRS and Claims Frailty Index, respectively, did not conclude statistically significant associations between frailty status and mortality outcomes.6, 9 All of the studies illustrated no differences among AAV patients of varying frailty status in terms of progression toward kidney failure. Unsurprisingly, it was also concurred that frailty status is significantly associated with the occurrence of adverse events during follow-up, in particular infection-related complications. These findings provided preliminary conclusions relating to the utilization of frailty measurements when managing older AAV patients. It may help inform clinicians on the likelihood of adverse events (i.e., infective complications are most frequently immunosuppression related) according to the patient's degree of frailty, and in this respect, it provides guidance on whether treatment adjustments are needed. On the other hand, if used to decide whether early and aggressive intervention is beneficial, given many older patients are in the “robust” or “less frail” phase at baseline diagnosis, then-current results perhaps advise for a more cautious approach when using frailty measurements for this purpose. This is given a lack of clarity in the relationship between frailty status and AAV on a physiological level and also when we consider that links between frailty status and consequential outcome measures such as mortality and progression toward kidney failure remain unestablished within an AAV context. A similar issue applies when deciding how to treat and whether there is over- and undertreatment of older AAV patients based on frailty status alone. There are key limitations of these studies which should be recognized. First of all, most, if not all, of the frailty assessment tools included subjective components in the healthcare professional's assessment of frailty status. Though some extent of intra- and interobserver bias is likely inevitable, it may be helpful for future studies to use one of the frailty assessment tools as the reference standard to compare prognostic accuracies across numerous tools (e.g., for chronic kidney disease, the CFS demonstrated good diagnostic accuracy for frailty when using Frailty Phenotype as the reference standard).10 Furthermore, small sample sizes affected the study power and generalizability of results. Many of the studies were conducted retrospectively, and not all potential confounding factors (e.g., ethnicity) were statistically adjusted for. Prospective studies with larger data samples are required to form further conclusions. In summary, research on frailty and frailty assessment in AAV is of rising importance with the growth of an aging population worldwide. The intricate and multidimensional nature of the frailty syndrome and AAV suggest it is currently challenging to evaluate these elements independently to address their impact on the individual patient. Greater efforts in generating basic, translational, and clinical data on this topic are anticipated to hopefully provide better guidance toward a personalized frailty assessment and management approach for our older and potentially more vulnerable AAV patient population. Henry H. L. Wu: Conceptualization; investigation; writing—original draft; writing—review and editing. Nina Brown: Writing—review and editing. Rajkumar Chinnadurai: Writing—original draft; writing—review and editing; supervision. All the authors agree for the final version of the manuscript to be submitted for consideration of publication. The study is not funded by any organization. Nina Brown receives honorarium fees from CSL Vifor UK outside of this work. The remaining authors declare no conflict of interest. None declared. None declared. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
虚弱和抗中性粒细胞细胞质抗体相关的血管炎:我们知道什么?
另一方面,考虑到许多老年患者在基线诊断时处于“健壮”或“不那么虚弱”阶段,如果用来决定早期和积极干预是否有益,那么目前的结果可能建议在使用虚弱度测量时采取更谨慎的方法。这是因为在生理水平上,虚弱状态和AAV之间的关系尚不明确,而且当我们考虑到虚弱状态和相应的结果指标(如死亡率和肾衰竭进展)之间的联系在AAV背景下仍未建立。在决定如何治疗老年AAV患者以及仅基于虚弱状态是否存在治疗过度和治疗不足时,也存在类似的问题。应该认识到这些研究存在一些关键的局限性。首先,大多数(如果不是全部的话)虚弱评估工具在医疗保健专业人员对虚弱状态的评估中包含了主观成分。虽然某种程度的观察者内部和观察者之间的偏差可能是不可避免的,但使用一种衰弱评估工具作为参考标准来比较众多工具的预后准确性可能有助于未来的研究(例如,对于慢性肾脏疾病,当使用衰弱表型作为参考标准时,CFS显示出良好的衰弱诊断准确性)此外,小样本量影响了研究能力和结果的普遍性。许多研究是回顾性进行的,并非所有潜在的混杂因素(如种族)都经过统计调整。需要更大数据样本的前瞻性研究来形成进一步的结论。综上所述,随着世界范围内老龄化人口的增长,对AAV的脆弱性和脆弱性评估的研究越来越重要。脆弱综合征和AAV的复杂和多维性质表明,目前很难独立评估这些因素,以解决它们对个体患者的影响。在这一主题的基础、转化和临床数据方面的更大努力有望为我们的老年和潜在更脆弱的AAV患者群体提供更好的个性化虚弱评估和管理方法指导。吴享利:概念化;调查;原创作品草案;写作-审查和编辑。妮娜·布朗:写作、评论和编辑。Rajkumar Chinnadurai:写作-原稿;写作——审阅和编辑;监督。所有作者同意将稿件的最终版本提交考虑出版。这项研究没有得到任何组织的资助。Nina Brown在这项工作之外从CSL Vifor UK收取酬金。其余作者声明没有利益冲突。没有宣布。没有宣布。请注意:出版商不对作者提供的任何支持信息的内容或功能负责。任何查询(内容缺失除外)都应直接联系文章的通讯作者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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