このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

Genetic Testing and Counseling to Reduce Diabetic Complications

2022年3月6日 更新者:Professor Ronald C.W. Ma、Chinese University of Hong Kong

A Randomized Clinical Trial to Compare a Strategy Utilizing Genetic Testing and Personalized Risk Counseling With Standard Care on Patient Empowerment, Risk Factors Control and the Risk of Diabetic Complications

The risk of diabetic kidney complications includes non-modifiable risk factors such as genetic predictors, as well as modifiable risk factors such as hyperglycaemia, hypertension, hyperlipidaemia and proteinuria. Genetic testing for personalized medicine is increasing in popularity, though evidence that genetic testing can empower patients to modify behaviour and reduce clinical risk remains lacking. In this project, the investigators aim to utilize a personalized risk counseling with genetic testing to evaluate its impact on risk factor control in diabetic patients. The investigators hypothesize that knowledge of genetic +/- clinical risk will empower patients and lead to improvement in the number of treatment targets achieved. The investigators will recruit 400 patients with diabetes. All subjects will undergo a comprehensive assessment of the risk of diabetic complications based on clinical risk factors. Half of the patients will be randomized to receive additional genetic testing of a panel of genetic markers proven to predict renal complications in our population: ACE I/D, aldose reductase (CA)n and PRKCB1 gene polymorphisms. The results of personalized risk assessment will be communicated by a health counsellor in the intervention arm. The impact of testing and patient knowledge of the result of genetic testing on achievement of treatment targets (A1c, BP, LDL-cholesterol, TG, use of ACEI/ARB) and patient behavior will be evaluated after 12 months. The other arm will receive results of the genetic testing at the completion of the study period. The study will help towards developing a strategy to empower patients through structured and personalized risk assessment will provide a novel approach to identify high-risk subjects for early intensive management, and may lead to reduction in long-term complications.

調査の概要

詳細な説明

Asia is in the midst of an epidemic of diabetes. Approximately 1 in 10 people in China has diabetes [1]. Asian patients with diabetes are characterized by early age of onset and increased risk of kidney complications. Young age of onset and long disease duration will place Chinese diabetic patients at high risk for complications. In the Hong Kong Diabetes Registry, which includes more than 7000 patients with type 2 diabetes, we have reported a high risk of diabetic complications, with 30% having died or sustained a major clinical event within 10years after diagnosis, including 10% developing cardiovascular complications, and 10% developing end-stage renal disease [2] [3]. The medical costs for the diabetic patient with complication is 2.2-3.8 fold that of patients without complications, and patients with cardiorenal complications are the most costly to manage [4]. Using our registry, we have identified clinical risk predictors for developing renal complications as glycaemic control, elevated blood pressure, hyperlipidaemia, and albuminuria [2] [3, 5], and have derived clinical risk prediction algorithms and incorporated them into a patient management portal, which can generate a standardized report for risk counseling based on clinical risk factors [6, 7]. Furthermore, in a multi-centre study utilizing a multidisciplinary team, we found that intensive management aiming to achieve targets of A1c, lipids, BP can significantly reduce the risk of developing kidney complication [8]. Therefore, the ability to identify subjects at risk of complications, and to target and motivate them to optimize modifiable risk factors for diabetic complications will be of clinical benefit and potentially cost-saving.

There has been much recent interest in the use of genetic testing for personalized medicine [9]. Diabetic kidney complications has high heritability of around 40% and several genetic factors have been found to be associated with diabetic renal complications. Using candidate-gene approach, our group has identified several genetic markers for diabetic kidney complications [10, 11] [12]. These include the angiotensin converting enzyme deletion/ insertion (ACE D/I) polymorphism and the aldose reductase (ALR2) 5'-(CA) n microsatellite polymorphism, each being associated with 2-3 fold increased risk of diabetic cardio-renal complications in Chinese [10, 13]. More recently, we have found that carriers of risk alleles at the protein kinase C-β1 (PRKCB1) locus can have up to 6-fold increased risk of developing end-stage renal disease during follow-up, after adjusting for the effect of clinical risk predictors [12].

The recent increase in consumer-initiated genetic testing has been driven by direct-to-consumer genetic testing, which assumes that personal genetic information can motivate positive behavioural change in patients [14]. Interestingly, a recent survey of patients without type 2 diabetes suggests that genetic testing may be able to motivate patients, with 71% of respondents reporting that they would be "much more motivated" to make behavioural changes if they were informed to be of high genetic risk for diabetes [15]. Although evidence that genetic testing can lead to behavioural changes is still lacking, several randomized clinical trials are currently underway to examine the impact of genetic testing on behaviour to reduce risk of diabetes. Given the disabling consequences of diabetic complications, and the ability to predict those at risk of developing complications, we plan to examine the role of personalized risk counseling incorporating genetic markers, and to examine its role in patient empowerment and risk factor control, which may help to reduce the risk of developing complications.

研究の種類

介入

入学 (実際)

435

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

      • Shatin、香港
        • Prince of Wales Hospital

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

40年~75年 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

Inclusion Criteria:

  1. Adults with type 2 diabetes aged 40-75 who can give informed consent
  2. Subjects with no known chronic kidney disease (CKD defined as eGFR<60ml/min at baseline)
  3. Suboptimal glucose control with HbA1c ≥ 7.5%
  4. Known history of hypertension including elevated BP ≥140/90 on more than one occasion

Exclusion Criteria:

  1. Subjects with known coronary artery disease or coronary revascularisation
  2. Subjects with previous history of cerebrovascular accident
  3. Subjects with known proliferative retinopathy or previous laser treatment for diabetic retinopathy
  4. Subjects with life-threatening conditions including malignancy
  5. Subjects with known psychiatric conditions including depression
  6. Subjects with significant renal impairment (eGFR<60ml/min at baseline) or non-diabetic renal disease (e.g. biopsy-proven glomerulonephritis or obstructive uropathy)
  7. Subjects with major physical disability

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ヘルスサービス研究
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:ダブル

武器と介入

参加者グループ / アーム
介入・治療
実験的:Personalized risk counselling
Intervention includes risk counseling to patients with diabetes on future risk of diabetic complications based on an established genetic counseling framework for common polygenic disorders which will be delivered to patient in a counselling sesssion 6 weeks after genetic testing
Motivational message- towards lifestyle change, improved compliance and risk factors control Review overall control of clinical risk factors based on lab test results
プラセボコンパレーター:Normal usual care
Intervention includes normal usual care. General education on diabetes and diabetic complications
General education on diabetes and diabetic complications

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
percentage of patients attaining ≥ 3 pre-defined treatment targets from the following treatment targets: 1) BP <130/80 mm Hg 2) HbA1c <7% 3) Calculated LDL-cholesterol <2.6mmol/l 4) Fasting TG <2mmol/l 5) Use of ACEI or ARB
時間枠:At 1 year
primary outcome of 3 out of 5 targets achieved as defined above
At 1 year

二次結果の測定

結果測定
メジャーの説明
時間枠
microalbuminuria as a marker of degree of renal damage
時間枠:At 1 year
new onset of microalbuminuria at 1 year follow-up
At 1 year
Patient empowerment as measured on the Chinese Diabetes Empowerment Scale (DES)
時間枠:At 1 year
Score on the DES
At 1 year
Patient behavior measured on the Summary of Diabetes Self-care Activities (SDSCA)
時間枠:At 1 year
Score of diabetes self-care as measured by the SDSCA
At 1 year

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • 主任研究者:Ronald C Ma, MB BChir、Chinese University of Hong Kong

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

一般刊行物

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2015年2月17日

一次修了 (実際)

2017年4月18日

研究の完了 (実際)

2018年12月31日

試験登録日

最初に提出

2015年2月10日

QC基準を満たした最初の提出物

2015年2月17日

最初の投稿 (見積もり)

2015年2月18日

学習記録の更新

投稿された最後の更新 (実際)

2022年3月21日

QC基準を満たした最後の更新が送信されました

2022年3月6日

最終確認日

2022年3月1日

詳しくは

本研究に関する用語

追加の関連 MeSH 用語

その他の研究ID番号

  • GEM Study

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

購読する