Stable State Proadrenomedullin Level in COPD Patients: A Validation Study.

COPD

a Department of Pulmonary Medicine , Medisch Spectrum Twente , Enschede , the Netherlands.

Published: April 2017

In patients with stable COPD, proadrenomedullin (MR-proADM) has been shown to be a good predictor for mortality. This study aims to provide an external validation of earlier observed cut-off values used by Zuur-Telgen et al. and Stolz.et al. in COPD patients in stable state and at hospitalization for an acute exacerbation of COPD (AECOPD). From the COMIC cohort study we included 545 COPD patients with a blood sample obtained in stable state (n = 490) and/or at hospitalization for an AECOPD (n = 101). Time to death was compared between patients with MR-proADM cut-off scores 0.71 and 0.75 nmol/L for stable state or 0.79 and 0.84 nmol/l for AECOPD. The predictive value of MR-proADM for survival was represented by the C statistic. Risk ratios were corrected for sex, age, BMI, presence of heart failure, and GOLD stage. Patients above the cut-off of 0.75 nmol/l had a 2-fold higher risk of dying than patient below this cut-off (95% CI: 1.20-3.41). The cut-off of 0.71 nmol/l showed only a borderline significantly higher risk of 1.67 (95% CI: 0.98-2.85). The corrected odds ratios for one-year mortality were 3.15 (95% CI 1.15-8.64) and 3.70 (95% CI 1.18-11.6) in patients with MR-proADM levels above versus below the cut-off of respectively 0.75 and 0.71 nmol/l measured in stable state. MR-proADM levels in samples at hospitalization for an AECOPD were not predictive for mortality in this validation cohort. MR-proADM in stable state is a powerful predictor for mortality.

Download full-text PDF

Source
http://dx.doi.org/10.1080/15412555.2016.1250254DOI Listing

Publication Analysis

Top Keywords

stable state
24
copd patients
12
patients stable
8
predictor mortality
8
hospitalization aecopd
8
patients mr-proadm
8
aecopd predictive
8
higher risk
8
mr-proadm levels
8
stable
7

Similar Publications

Introduction: COVID-19 has caused tremendous hardships and challenges around the globe. Due to the prevalence of asymptomatic and pre-symptomatic carriers, relying solely on disease testing to screen for infections is not entirely reliable, which may affect the accuracy of predictions about the pandemic trends. This study is dedicated to developing a predictive model aimed at estimating of the dynamics of COVID-19 at an early stage based on wastewater data, to assist in establishing an effective early warning system for disease control.

View Article and Find Full Text PDF

Background: Older adults with cancer are vulnerable to declines in muscle performance (e.g., strength, speed, duration of muscular contraction), which are associated with worse cancer-related outcomes.

View Article and Find Full Text PDF

Long dsRNA induces the expression of type I interferons (IFNs) and IFN-stimulated genes (ISGs) to establish an antiviral state. When induced prophylactically, this antiviral state can reduce the severity and mortality of viral infections. One of the limiting factors in delivering dsRNA in animal models is the lack of an effective carrier that protects the dsRNA from degradation in the extracellular space.

View Article and Find Full Text PDF

Charge-transfer complexation of coordination cages for enhanced photochromism and photocatalysis.

Nat Commun

January 2025

State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China.

Intensified host-guest electronic interplay within stable metal-organic cages (MOCs) presents great opportunities for applications in stimuli response and photocatalysis. Zr-MOCs represent a type of robust discrete hosts for such a design, but their host-guest chemistry in solution is hampered by the limited solubility. Here, by using pyridinium-derived cationic ligands with tetrakis(3,5-bis(trifluoromethyl)phenyl)borate (BAr) as solubilizing counteranions, we report the preparation of soluble Zr-MOCs of different shapes (1-4) that are otherwise inaccessible through a conventional method.

View Article and Find Full Text PDF

Divergent roles of mA in orchestrating brown and white adipocyte transcriptomes and systemic metabolism.

Nat Commun

January 2025

Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, BIDMC; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA.

N-methyladenosine (mA) is among the most abundant mRNA modifications, yet its cell-type-specific regulatory roles remain unclear. Here we show that mA methyltransferase-like 14 (METTL14) differentially regulates transcriptome in brown versus white adipose tissue (BAT and WAT), leading to divergent metabolic outcomes. In humans and mice with insulin resistance, METTL14 expression differs significantly from BAT and WAT in the context of its correlation with insulin sensitivity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!