Skip to main content
Duke University Libraries
DukeSpace Scholarship by Duke Authors
  • Login
  • Ask
  • Menu
  • Login
  • Ask a Librarian
  • Search & Find
  • Using the Library
  • Research Support
  • Course Support
  • Libraries
  • About
View Item 
  •   DukeSpace
  • Duke Scholarly Works
  • Scholarly Articles
  • View Item
  •   DukeSpace
  • Duke Scholarly Works
  • Scholarly Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Rationale, design, and baseline characteristics of the CArdiovascular safety and Renal Microvascular outcomE study with LINAgliptin (CARMELINA®): a randomized, double-blind, placebo-controlled clinical trial in patients with type 2 diabetes and high cardio-renal risk.

Thumbnail
View / Download
1.2 Mb
Date
2018-03-14
Authors
Rosenstock, Julio
Perkovic, Vlado
Alexander, John H
Cooper, Mark E
Marx, Nikolaus
Pencina, Michael J
Toto, Robert D
Wanner, Christoph
Zinman, Bernard
Baanstra, David
Pfarr, Egon
Mattheus, Michaela
Broedl, Uli C
Woerle, Hans-Juergen
George, Jyothis T
von Eynatten, Maximilian
McGuire, Darren K
CARMELINA® investigators
Show More
(18 total)
Repository Usage Stats
13
views
3
downloads
Abstract
BACKGROUND:Cardiovascular (CV) outcome trials in type 2 diabetes (T2D) have underrepresented patients with chronic kidney disease (CKD), leading to uncertainty regarding their kidney efficacy and safety. The CARMELINA® trial aims to evaluate the effects of linagliptin, a DPP-4 inhibitor, on both CV and kidney outcomes in a study population enriched for cardio-renal risk. METHODS:CARMELINA® is a randomized, double-blind, placebo-controlled clinical trial conducted in 27 countries in T2D patients at high risk of CV and/or kidney events. Participants with evidence of CKD with or without CV disease and HbA1c 6.5-10.0% (48-86 mmol/mol) were randomized 1:1 to receive linagliptin once daily or matching placebo, added to standard of care adjusted according to local guidelines. The primary outcome is time to first occurrence of CV death, non-fatal myocardial infarction, or non-fatal stroke. The key secondary outcome is a composite of time to first sustained occurrence of end-stage kidney disease, ≥ 40% decrease in estimated glomerular filtration rate (eGFR) from baseline, or renal death. CV and kidney events are prospectively adjudicated by independent, blinded clinical event committees. CARMELINA® was designed to continue until at least 611 participants had confirmed primary outcome events. Assuming a hazard ratio of 1.0, this provides 90% power to demonstrate non-inferiority of linagliptin versus placebo within the pre-specified non-inferiority margin of 1.3 at a one-sided α-level of 2.5%. If non-inferiority of linagliptin for the primary outcome is demonstrated, then its superiority for both the primary outcome and the key secondary outcome will be investigated with a sequentially rejective multiple test procedure. RESULTS:Between July 2013 and August 2016, 6980 patients were randomized and took ≥ 1 dose of study drug (40.6, 33.1, 16.9, and 9.4% from Europe, South America, North America, and Asia, respectively). At baseline, mean ± SD age was 65.8 ± 9.1 years, HbA1c 7.9 ± 1.0%, BMI 31.3 ± 5.3 kg/m2, and eGFR 55 ± 25 mL/min/1.73 m2. A total of 5148 patients (73.8%) had prevalent kidney disease (defined as eGFR < 60 mL/min/1.73 m2 or macroalbuminuria [albumin-to-creatinine ratio > 300 mg/g]) and 3990 patients (57.2%) had established CV disease with increased albuminuria; these characteristics were not mutually exclusive. Microalbuminuria (n = 2896 [41.5%]) and macroalbuminuria (n = 2691 [38.6%]) were common. CONCLUSIONS:CARMELINA® will add important information regarding the CV and kidney disease clinical profile of linagliptin by including an understudied, vulnerable cohort of patients with T2D at highest cardio-renal risk. Trial registration ClinicalTrials.gov identifier-NCT01897532; registered July 9, 2013.
Type
Journal article
Subject
CARMELINA® investigators
Kidney
Humans
Diabetic Nephropathies
Kidney Failure, Chronic
Cardiovascular Diseases
Diabetes Mellitus, Type 2
Disease Progression
Blood Glucose
Glomerular Filtration Rate
Treatment Outcome
Cause of Death
Risk Factors
Double-Blind Method
Research Design
Time Factors
Aged
Middle Aged
Female
Male
Renal Insufficiency, Chronic
Dipeptidyl-Peptidase IV Inhibitors
Biomarkers
Linagliptin
Glycated Hemoglobin A
Permalink
https://hdl.handle.net/10161/22865
Published Version (Please cite this version)
10.1186/s12933-018-0682-3
Publication Info
Rosenstock, Julio; Perkovic, Vlado; Alexander, John H; Cooper, Mark E; Marx, Nikolaus; Pencina, Michael J; ... CARMELINA® investigators (2018). Rationale, design, and baseline characteristics of the CArdiovascular safety and Renal Microvascular outcomE study with LINAgliptin (CARMELINA®): a randomized, double-blind, placebo-controlled clinical trial in patients with type 2 diabetes and high cardio-renal risk. Cardiovascular diabetology, 17(1). pp. 39. 10.1186/s12933-018-0682-3. Retrieved from https://hdl.handle.net/10161/22865.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
  • Scholarly Articles
More Info
Show full item record

Scholars@Duke

Alexander

John Hunter Peel Alexander

Professor of Medicine
John H. Alexander, MD, MHS is a cardiologist and Professor of Medicine in the Department of Medicine, Division of Cardiology at Duke University School of Medicine, as well as the Vice Chief, Clinical Research in the Division of Cardiology. He is the Director of Cardiovascular Research at the Duke Clinical Research Institute where he oversees a large group of clinical research faculty and a broad portfolio of cardiovascular clinical trials and observational clinical research programs. He is a
Pencina

Michael J Pencina

Professor of Biostatistics & Bioinformatics
As Vice Dean for Data Science, Dr. Pencina is responsible for developing and implementing quantitative science strategies as they pertain to the education and training, and laboratory, clinical science, and data science missions of the School of Medicine. Dr. Pencina is a Professor of Biostatistics and Bioinformatics at Duke University and Director of Duke AI Health. Previously, he served as Director of Biostatistics at the Duke Clinical Research Institute. Dr. Pencina is an internati
Alphabetical list of authors with Scholars@Duke profiles.
Open Access

Articles written by Duke faculty are made available through the campus open access policy. For more information see: Duke Open Access Policy

Rights for Collection: Scholarly Articles


Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info

Make Your Work Available Here

How to Deposit

Browse

All of DukeSpaceCommunities & CollectionsAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit DateThis CollectionAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit Date

My Account

LoginRegister

Statistics

View Usage Statistics
Duke University Libraries

Contact Us

411 Chapel Drive
Durham, NC 27708
(919) 660-5870
Perkins Library Service Desk

Digital Repositories at Duke

  • Report a problem with the repositories
  • About digital repositories at Duke
  • Accessibility Policy
  • Deaccession and DMCA Takedown Policy

TwitterFacebookYouTubeFlickrInstagramBlogs

Sign Up for Our Newsletter
  • Re-use & Attribution / Privacy
  • Harmful Language Statement
  • Support the Libraries
Duke University