N-terminal Pro-B-type Natriuretic Peptide (NT-proBNP) in Type 2 Diabetes Mellitus
NCT ID: NCT05745090
Last Updated: 2024-04-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
1200 participants
OBSERVATIONAL
2022-11-10
2029-04-30
Brief Summary
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B-type natriuretic peptide (BNP) and its inactive N-terminal precursor NT-proBNP are biomarkers of myocardial stress. They been shown to incrementally improve predictive discrimination of death and CV events in high-risk individuals with T2D.
An NT-proBNP-based CVD/HF risk stratification strategy has not been prospectively tested in the multi-ethnic T2D population in Singapore. In this study, we aim to:
1. Evaluate the predictive value of NT-proBNP for death and CV events compared to traditional risk markers \[e.g. HbA1c, albuminuria, high sensitivity C-reactive protein (hsCRP), high sensitivity troponin-T (hsTnT)\] in a cohort of T2D patients with or without established CVD (defined as ischaemic heart disease, myocardial infarct, unstable angina, prior coronary artery revascularisation, stroke, transient ischaemic attack or PAD) attending a tertiary diabetes care centre. (Patients with history of HF will be excluded.)
2. Compare the performance of NT-proBNP as a single biomarker for CV risk prediction to risk scoring algorithms in T2D patients.
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Detailed Description
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The study will prospectively recruit 1200 adults (aged 40 and above) with T2D from Singapore General Hospital (SGH) over a period of 18 months. Informed consent will be obtained from patients before the start of any procedures. There will be 1 baseline visit to collect demographic information, and clinical and laboratory data. Baseline point-of-care echocardiography will also be performed for all patients. All patients will subsequently be observed over 5 years for the occurrence of death or CV events through monitoring of electronic health records (EHR) and telephone contacts.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. Age 40 and older
Exclusion Criteria
2. Estimated glomerular filtration rate (eGFR) \<15 ml/min/1.73m2 \[using the CKD-Epidemiology Collaboration (CKD-EPI) 2021 equation for glomerular filtration rate\] based on the last known eGFR within 12 months of study recruitment)
3. Renal replacement therapy
4. Systemic treatment with corticosteroids or immunosuppressants
5. Pregnant or nursing women
6. Active cancer disease
7. Serious disease with life expectancy \<1 year as judged by the doctor
8. Any condition that, in the investigator's opinion, would interfere with a subject's ability to comply with study protocol or procedures
40 Years
99 Years
ALL
No
Sponsors
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Roche Diagnostics GmbH
INDUSTRY
Singapore General Hospital
OTHER
Responsible Party
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Principal Investigators
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Yong Mong Bee
Role: PRINCIPAL_INVESTIGATOR
Singapore General Hospital
Locations
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Singapore General Hospital
Singapore, , Singapore
Countries
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References
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Matheus AS, Tannus LR, Cobas RA, Palma CC, Negrato CA, Gomes MB. Impact of diabetes on cardiovascular disease: an update. Int J Hypertens. 2013;2013:653789. doi: 10.1155/2013/653789. Epub 2013 Mar 4.
Birkeland KI, Bodegard J, Eriksson JW, Norhammar A, Haller H, Linssen GCM, Banerjee A, Thuresson M, Okami S, Garal-Pantaler E, Overbeek J, Mamza JB, Zhang R, Yajima T, Komuro I, Kadowaki T. Heart failure and chronic kidney disease manifestation and mortality risk associations in type 2 diabetes: A large multinational cohort study. Diabetes Obes Metab. 2020 Sep;22(9):1607-1618. doi: 10.1111/dom.14074. Epub 2020 Jun 3.
Hobbs FD, Jukema JW, Da Silva PM, McCormack T, Catapano AL. Barriers to cardiovascular disease risk scoring and primary prevention in Europe. QJM. 2010 Oct;103(10):727-39. doi: 10.1093/qjmed/hcq122. Epub 2010 Aug 4.
Malachias MVB, Jhund PS, Claggett BL, Wijkman MO, Bentley-Lewis R, Chaturvedi N, Desai AS, Haffner SM, Parving HH, Prescott MF, Solomon SD, De Zeeuw D, McMurray JJV, Pfeffer MA. NT-proBNP by Itself Predicts Death and Cardiovascular Events in High-Risk Patients With Type 2 Diabetes Mellitus. J Am Heart Assoc. 2020 Oct 20;9(19):e017462. doi: 10.1161/JAHA.120.017462. Epub 2020 Sep 23.
Other Identifiers
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PISCES2022
Identifier Type: -
Identifier Source: org_study_id
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