Evidence map›Paper›PMID 35887917›Full record

ArticleJournal of clinical medicine2022

NT-proBNP Levels Influence the Prognostic Value of Mineral Metabolism Biomarkers in Coronary Artery Disease.

Juan Martínez-Milla, Álvaro Aceña, Ana Pello, Marta López-Castillo, Hans Paul Gaebelt, Óscar González-Lorenzo, Nieves Tarín, Carmen Cristóbal, Luis M Blanco-Colio, José Luis Martín-Ventura and 10 more

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In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

20 authors at 9 institutions in 1 country.

Juan Martínez-MillaDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Álvaro AceñaDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Ana PelloDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Marta López-CastilloDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Hans Paul GaebeltDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Óscar González-LorenzoDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.ORCID 0000-0003-4342-8050
Nieves TarínDepartment of Cardiology, Hospital Universitario de Móstoles, 28040 Madrid, Spain.
Carmen CristóbalDepartment of Cardiology, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain.
Luis M Blanco-ColioCIBERCV, 28029 Madrid, Spain.ORCID 0000-0002-1560-6609
José Luis Martín-VenturaCIBERCV, 28029 Madrid, Spain.
Ana HuelmosDepartment of Cardiology, Hospital Universitario Fundación Alcorcón, 28040 Madrid, Spain.
Andrea KallmeyerDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.
Joaquín AlonsoFaculty of Medicine, Universidad Rey Juan Carlos, Alcorcón, 28922 Madrid, Spain.
Carlos Gutiérrez-LandaluceDepartment of Cardiology, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain.ORCID 0000-0001-5807-0894
Lorenzo López BescósFaculty of Medicine, Universidad Rey Juan Carlos, Alcorcón, 28922 Madrid, Spain.
Jesús EgidoCIBERCV, 28029 Madrid, Spain.
Ignacio Mahíllo-FernándezDepartment of Laboratory Medicine, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0003-0558-6541
Óscar LorenzoFaculty of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0001-5515-6078
María Luisa González-CasausDepartment of Laboratory Medicine, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-1268-7191
José TuñónDepartment of Cardiology, IIS-Fundación Jiménez Díaz, Avda. Reyes Católicos 2, 28040 Madrid, Spain.ORCID 0000-0002-1373-0999
Hospital Universitario Fundación Jiménez Díaz · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESUniversidad Rey Juan Carlos · ESHospital Universitario La Paz · ESSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ESHospital Universitario de Fuenlabrada · ESHospital Universitario de Móstoles · ESHospital Universitario Fundación Alcorcón · ESSpanish National Centre for Cardiovascular Research · ES

Funding

European Union PI05/0451, PI14/1567, PI17/01615, PI17/01495, PI19/00128 , PI20/487, and PI20/923Instituto de Salud Carlos III FEDER FJD biobank: RD09/0076/00101Ministry of Science and Innovation RTC2019-006826-1, DTS 19/00093Red Temática de Investigación CooperativaenEnfermedadesCardiovasculares RD06/0014/0035
6 · The paper itself

Abstract

Background. Mineral metabolism (MM) system and N-terminal pro-brain natriuretic peptide (NT-ProBNP) have been shown to add prognostic value in patients with stable coronary artery disease (SCAD). However, the influence of NT-ProBNP on the prognostic role of MM in patients with SCAD has not been shown yet. The objective of this study is to assess the influence of NT-ProBNP on the prognostic role of MM markers in patients with SCAD. Methods: We analyzed the prognostic value of MM markers (parathormone (PTH), klotho, phosphate, calcidiol (25-hydroxyvitamin D3), and fibroblast growth factor-23) in 964 patients with SCAD and NT-ProBNP > 125 pg/mL vs. patient with NT-ProBNP ≤ 125 pg/mL included in five hospitals in Spain. The main outcome was the combination of death, heart failure, and ischemic events (any acute coronary syndrome, ischemic stroke, or transient ischemic attack). Results: A total of 622 patients had NT-proBNP > 125 pg/mL and 342 patients had NT-ProBNP ≤ 125 pg/mL. The median follow-up was 5.1 years. In the group of NT-proBNP > 125 pg/mL, the patients were older, and there were more females and smokers than in the group of patients with normal NT-proBNP. Additionally, the proportion of patients with hypertension, atrial fibrillation, ejection fraction < 40%, cerebrovascular attack, or prior coronary artery bypass graft was higher in the high NT-proBNP group. In the high NT-proBNP patients, the predictors of poor prognosis were PTH (HR = 1.06 (1.01−1.10), p < 0.001) and NT-proBNP (HR = 1.02 (1.01−1.03), p = 0.011), along with age (HR = 1.039 (1.02−1.06), p < 0.001), prior coronary artery bypass graft (HR = 1.624 (1.02−2.59), p = 0.041), treatment with statins (HR = 0.32 (0.19−0.53), p < 0.001), insulin (HR = 2.49 (1.59−4.09), p < 0.001), angiotensin receptor blockers (HR = 1.73 (1.16−2.56), p = 0.007), nitrates (HR = 1.65 (1.10−2.45), p = 0.014), and proton pump inhibitors (HR = 2.75 (1.74−4.36), p < 0.001). In the NT-proBNP ≤ 125 pg/mL subgroup, poor prognosis predictors were plasma levels of non-high-density lipoprotein (non-HDL) cholesterol (HR = 1.01 (1.00−1.02), p = 0.014) and calcidiol (HR = 0.96 (0.92−0.99), p = 0.045), as well as treatment with verapamil (HR = 11.28 (2.54−50.00), p = 0.001), and dihydropyridines (HR = 3.16 (1.63−6.13), p = 0.001). Conclusion: In patients with SCAD and NT-ProBNP > 125 pg/mL, PTH and NT-ProBNP, which are markers related to ventricular damage, are predictors of poor outcome. In the subgroup of patients with NT-ProBNP ≤ 125 pgm/L, calcidiol and non-HDL cholesterol, which are more related to vascular damage, are the independent predictors of poor outcome. Then, in patients with SCAD, baseline NT-ProBNP may influence the type of biomarker that is effective in risk prediction.

Indexed as

biomarkersheart failurestable coronary artery disease

Identifiers

PMID35887917
PMCPMC9319637
OpenAlexW4285732222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.