Erasmus University Medical Center, Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
Pfizer Medical Affairs, 17 Boulevard de la Plaine, 1050, Brussels, Belgium.
Pituitary. 2017 Dec;20(6):692-701. doi: 10.1007/s11102-017-0835-5.
Despite availability of multimodal treatment options for acromegaly, achievement of long-term disease control is suboptimal in a significant number of patients. Furthermore, disease control as defined by biochemical normalization may not always show concordance with disease-related symptoms or patient's perceived quality of life. We developed and validated a tool to measure disease activity in acromegaly to support decision-making in clinical practice.
An international expert panel (n = 10) convened to define the most critical indicators of disease activity. Patient scenarios were constructed based on these chosen parameters. Subsequently, a panel of 21 renowned endocrinologists at pituitary centers (Europe and Canada) categorized each scenario as stable, mild, or significant disease activity in an online validation study.
From expert opinion, five parameters emerged as the best overall indicators to evaluate disease activity: insulin-like growth factor I (IGF-I) level, tumor status, presence of comorbidities (cardiovascular disease, diabetes, sleep apnea), symptoms, and health-related quality of life. In the validation study, IGF-I and tumor status became the predominant parameters selected for classification of patients with moderate or severe disease activity. If IGF-I level was ≤1.2x upper limit of normal and tumor size not significantly increased, the remaining three parameters contributed to the decision in a compensatory manner.
The validation study underlined IGF-I and tumor status for routine clinical decision-making, whereas patient-oriented outcome measures received less medical attention. An Acromegaly Disease Activity Tool (ACRODAT) is in development that might assist clinicians towards a more holistic approach to patient management in acromegaly.
尽管肢端肥大症有多种治疗选择,但仍有相当数量的患者无法实现长期疾病控制。此外,根据生化指标正常化定义的疾病控制情况并不总是与疾病相关症状或患者感知的生活质量相符。我们开发并验证了一种用于测量肢端肥大症疾病活动的工具,以支持临床实践中的决策。
一个国际专家小组(n=10)召开会议,定义了疾病活动的最关键指标。根据这些选定的参数构建患者病例。随后,一个由 21 名知名垂体中心内分泌学家(欧洲和加拿大)组成的小组在一项在线验证研究中对每个病例进行了稳定、轻度或显著疾病活动的分类。
根据专家意见,五个参数被确定为评估疾病活动的最佳综合指标:胰岛素样生长因子 I(IGF-I)水平、肿瘤状态、合并症(心血管疾病、糖尿病、睡眠呼吸暂停)、症状和健康相关生活质量。在验证研究中,IGF-I 和肿瘤状态成为分类中度或重度疾病活动患者的主要选择参数。如果 IGF-I 水平≤1.2x 正常值上限且肿瘤大小无明显增加,则其余三个参数以代偿方式为决策提供依据。
验证研究强调了 IGF-I 和肿瘤状态在常规临床决策中的重要性,而患者导向的结果测量则受到较少的关注。正在开发一种肢端肥大症疾病活动工具(ACRODAT),可能有助于临床医生采取更全面的方法来管理肢端肥大症患者。