跳至主要内容
临床试验/NCT04856683
NCT04856683招募中不适用

PRecisiOn MEdicine to Target Frailty of Endocrine-metabolic Origin

University of Roma La Sapienza5 个研究点 分布在 1 个国家目标入组 1,100 人开始时间: 2020年8月10日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
1,100
试验地点
5
主要终点
Composite Clinical Score

研究概览

简要总结

This is a multicenter, observational, retrospective and prospective study for the evaluation of precision medicine to target frailty of endocrine-metabolic origin, with a genetic study.

详细描述

Overall summary Frailty results from the lifelong accumulation of damage caused by age- and disease-related impairment of the repair network. The amount of cellular damage needed to alter function is uncertain and determined on an individual basis. Assessing cumulative dysfunction in different systems (hormonal, metabolic, immune, cardiovascular, and skeletal) is crucial as the relationship with frailty is nonlinear and not linked to the severity in one system. When subtle, declining functions reaches an aggregate crucial level, and frailty becomes evident. The frail individual is who, after a mild stressor event, undergoes a larger deterioration, which manifest as functional dependency (hospitalization), and who does not return to baseline homoeostasis (favoring polypharmacy). By implementing precision medicine, retrospective and prospective data collected in five referral centers covering densely populated regions in Italy, will be merged and thoroughly analyzed. This network aims at identifying novel biomarkers, predictors of treatment response, and simplified management for complex multiple endocrine comorbidities. The network will investigate emerging and highly prevalent disorders linked to frailty: the gonadal and adrenal, metabolic, neuroendocrine, skeletal. The network will generate scores and precision-medicine based algorithms for the fragile population, often excluded from clinical trials while absorbing most of healthcare expenditure.

Background Frailty is raising globally. Patients with multiple endocrine and metabolic comorbidities (MEDs) are at high risk for inappropriate prescriptions, with negative effects on health outcomes and costs. Endocrine and metabolic comorbidities often coexist with frailty being the common endpoint in patients requiring intensive medical care (falls, disability, hospitalization, and mortality). Concomitant multiple medications aggravate frailty by increasing the risk of interactions, adverse effects and reduce efficacy. The cost of supporting these high-risk population are no longer sustainable for the National Health System (NHS). The pathophysiology of frailty is poorly understood, but multiple endocrine dysfunctions are often associated. Dysregulation of the hypothalamic-pituitary-gonadal and adrenal axes are often associated with metabolic disease (Type 2 Diabetes Mellitus-T2D) as well as bone diseases. In 2018 data from the European Male Aging Study (EMAS) showed that both androgen and nonandrogenic anabolic hormones were independently associated with change in frailty status. Other studies showed that frailty was independently associated with chronically raised diurnal cortisol. Diabetes and osteoporosis (OP) are commonly associated with a significant health burden, especially in elderly individuals. Diabetes is also associated with a wide spectrum of comorbidities (cardiovascular disease, impairment of bone quality, hypogonadism, reduced quality of life, obesity). OP is a complex disorder whose pathogenesis is due to the interaction of various predisposing genetic and epigenetic factors regulating bone and mineral metabolism and non-skeletal risk factors that could influence the risk of fall. Genome-wide association studies (GWAS), epigenetic factors and circulating micro-RNA have opened new horizons for the discovery of genetic loci and variants associated with OP and fracture risk, identifying replicated genetic loci associated with OP. Circulating microRNA profiles have also a prognostic value making them attractive, blood-based, non-invasive biomarkers for prediction and staging of endocrine diseases. Moreover, evidence suggests that inflammation has a major role in the pathophysiology of frailty through an abnormal, low-grade inflammatory chronic response that is hyper-responsive to stimuli. Several inflammatory cytokines have been independently associated with frailty and a link was demonstrated between immune cell function and steroid hormone levels in the recently published DREAM trial. Response to therapy in T2D is often patient-related especially in frail patients. However specific biomarkers are needed for disease monitoring and prediction of disease progression or therapy response. Finally, pituitary diseases are associated with increased mortality and morbidity. This can be a direct effect of hormonal hypersecretion but also secondary to hypopituitarism (HP) caused by mass effect, or a direct consequence of trauma, as well as an important side effect of the treatment itself on pituitary lesions (novel immune check-point inhibitors). HP is globally under-diagnosed and insidious with tremendous effects on quality of life (QoL) as well. All the above mentioned and several other studies suggest an important role of the endocrine system on the development of frailty. It is very likely that comorbidities and drugs can accelerate the frailty of endocrine and metabolic origin. Finally, as concern inappropriate prescriptions, some algorithms were demonstrated particularly reliable. Combining clinical, epidemiological, social, hospital admissions and drug prescription data, has been proven a valid approach to identify inappropriate prescriptions due to drug ineffectiveness and to evaluate cost of polypharmacy.

Hypothesis and Significance Dysregulation of glucocorticoid secretion and hypogonadism due to primary adrenal or gonadal disorders are independent contributors to frailty and failure to treat effectively cardiovascular, metabolic and bone diseases. Prompt restoration of gonadal and adrenal function, when altered, can reduce the need for multi-drug prescription necessary to target high blood pressure, cardiovascular remodeling, osteoporosis and diabetes mellitus.

Less than 50% of patients with T2D had good glycemic control, understanding the mechanisms of Dipeptidyl peptidase-4 (DPP4) inhibitors and Glucagon-like peptide 1 (GLP1)-receptor agonist therapy is needed to predict the response to treatment. Genetic analysis and circulating microRNA profiling may help choosing the appropriate glucose-lowering drugs in T2D patients.

The high prevalence of pituitary and neuroendocrine disorders has a significant impact on morbidity, mortality and QoL. Tailoring diagnostic and therapeutic strategies will lead to early diagnosis of these diseases and their complications allowing to select the best long-term management.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Other

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • presence of endocrine and metabolic diseases (hypothalamic-pituitary-gonadal and adrenal diseases, type 2 diabetes mellitus, and bone diseases);
  • signed informed consent to participate in the study.

排除标准

  • 未提供

结局指标

主要结局

Composite Clinical Score

时间窗: Baseline

To derive a Composite Clinical Score able to identify endocrine fragile patients (occurrence of at least one of the following events: falls, disability, hospitalization, and mortality within the previous 18-months).

Prediction of frailty

时间窗: Baseline

Validation of Composite Clinical Score to predict frailty occurrence

次要结局

  • Molecular profiling(Baseline)
  • Steroid profiling(Baseline)
  • Measure of vascular flows though contrast enhanced ultrasound in endocrine glands(Baseline)
  • Osteoporosis stratification risk(Baseline)
  • Multiple endocrine and metabolic comorbidities(Baseline)
  • Inappropriate therapeutic regimen(Baseline)
  • Peripheral blood mononuclear cell subpopulations(Baseline)
  • Circulating microRNAs(Baseline and post 6 months)
  • Psychological function(Baseline)
  • Measure of liver vascular inflow through 4 dimensional (4D)-flow MRI(Baseline)
  • Serotonin Transporter 5-HTTLPR polymorphism(Baseline)
  • Cardio-metabolic stratification risk(Baseline)
  • Epigenetic biomarkers(Baseline)
  • Gene polymorphisms(Baseline and post 6 months)

研究者

发起方
University of Roma La Sapienza
申办方类型
Other
责任方
Principal Investigator
主要研究者

Andrea M. Isidori

Full Professor

University of Roma La Sapienza

研究点 (5)

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