We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Cardiac Biomarkers Identify High-Risk Kidney Disease Patients

By LabMedica International staff writers
Posted on 12 Nov 2019
Cardiovascular disease (CVD) claims more lives in people with chronic kidney disease (CKD) than complications of kidney disease and this can be explained in part by shared common risk factors including hypertension, diabetes, hyperlipidemia, smoking, and obesity.

However, there is growing evidence that impaired kidney function and raised albuminuria levels are risk factors for CVD independent of traditional factors such as hypertension and diabetes. More...
In addition, there are pathologic mechanisms that are unique to CKD that promote vascular disease, thus contributing to the increased burden of CVD.

Cardiologists from the Mayo Clinic (Rochester, MN, USA) classified participants by renal function, characterize trends of cardiac biomarker activation and left ventricular function, and report cardiovascular outcomes over a 10-year follow-up period using data from a retrospective study, including 1,981 participants from the Olmsted County Heart Function Study. Participants were aged 45 years and older between January 1997 and December 2000, and had had a clinical evaluation, medical record review, laboratory tests, and echocardiogram. Follow-up was a median 10.2 years.

Age/sex-adjusted baseline characteristics, tertiles of N-terminal pro B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin T (hs-TnT) and their interactions with eGFR were examined. Outcomes measured included incident myocardial infarction (MI), congestive heart failure, stroke, and all-cause mortality. The prevalence of stage 3 CKD (eGFR < 60 mL/min/1.73m2) was 6.4% (126/1,981). In the remainder of the group, 52.3% (1,036/1,981) had mild renal insufficiency (eGFR 60-89 mL/min/1.73m2) and 41.3% (819/1,981) had normal kidney function.

The physicians reported that the degree of kidney impairment, as estimated by eGFR, did not significantly affect the results, suggesting renal impairment was not the only reason for elevation of the biomarkers. The analysis suggested an optimal cut-point for the overall study group of 97.1 pg/mL for NT-proBNP and 3.8 ng/L for hs-TnT; these values were similar to the third tertile for both biomarkers. Over a 10.2-year follow-up period, CKD was associated with an increased risk of myocardial infarction (MI) and composite cardiovascular outcomes including MI, congestive heart failure, stroke, and all-cause mortality.

Horng H. Chen, MB, BCh, a cardiologist and senior author of the study, said, “In this study we demonstrated that NT-proBNP and hs-TnT have prognostic value regardless of kidney function. Hence, these two biomarkers can be used to help clinicians, identify patients with kidney disease who are at highest risk for adverse cardiac events and who would be candidates for aggressive risk factor modification to prevent adverse outcomes.” The study was published on October 23, 2019 in the journal Mayo Clinic Proceedings.

Related Links:
Mayo Clinic


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Electrolyte Analyzer
BKE-B
Gold Member
Serum Indices Control
Acusera Serum Indices Control
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image:(L to R) Co-first author Yuan Feng, PhD, corresponding author Xiaotu Ma, PhD, and co-first author Hanxia Li, PhD, all of the St. Jude Department of Computational Biology. (Photo courtesy of St. Jude Children\'s Research Hospital)

Genomic Profiling Predicts Relapse Risk by Subtype in Pediatric Leukemia

B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood cancer, with more than 90% of patients surviving with modern treatments. Outcomes are worse when the disease returns, however, making... Read more

Hematology

view channel
Image: The newly certified products are the CytoCell ATM Deletion FISH Probe, CytoCell IGH Plus Breakapart FISH Probe, CytoCell IGH/FGFR3 Plus Translocation, Dual Fusion FISH Probe, and CytoCell IGH/MYEOV Plus Translocation, Dual Fusion FISH Probe. (Photo courtesy of OGT)

Newly Certified FISH Probes Support Cytogenetic Testing in Blood Cancers

Hematological malignancies such as non-Hodgkin lymphoma, acute lymphoblastic leukemia, chronic lymphoid leukemia, and multiple myeloma require assessment of key cytogenetic abnormalities.... Read more

Microbiology

view channel
Image: Four-quadrant streaking of fecal samples on chromogenic UTI agar shows various patterns of relative bacterial species abundance. The assorted shapes of the pinkish colonies indicate different E. coli strains. (Photo courtesy of Sokurenko Lab)

Stool Testing Predicts UTI Risk and Guides Antibiotic Selection

Urinary tract infections (UTIs) are a common reason for antibiotic prescribing in general medical practice and can be painful in postmenopausal women, sometimes progressing to kidney infection or life-threatening... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: SG-INSIGHT study will extend whole- genome sequencing to nearly 1 in 10 Singapore residents, generating evidence to inform how precision medicine could be implemented in Singapore’s healthcare system. (Photo courtesy of Precision Health Research, Singapore)

Illumina Selected to Support National Genomics Study for Personalized Healthcare in Singapore

Singapore’s National Precision Medicine program is using genomic and health data to support more preventive and personalized healthcare. Its latest phase expands beyond healthy volunteers to people with... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.