Evidence map›Paper›PMID 35268260›Full record

ArticleJournal of clinical medicine2022

Prevalence, Incidence, and Outcomes of Hyperkalaemia in Patients with Chronic Heart Failure and Reduced Ejection Fraction from a Spanish Multicentre Study: SPANIK-HF Design and Baseline Characteristics.

Juan F Delgado-Jiménez, Javier Segovia-Cubero, Luis Almenar-Bonet, Javier de Juan-Bagudá, Antonio Lara-Padrón, José Manuel García-Pinilla, Juan Luis Bonilla-Palomas, Silvia López-Fernández, Sonia Mirabet-Pérez, Inés Gómez-Otero and 8 more

Open access · goldAbstract read
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 10 institutions in 1 country.

Juan F Delgado-JiménezInstituto de Investigación y Servicio de Cardiología del Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0002-5401-8324
Javier Segovia-CuberoCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0002-4606-3416
Luis Almenar-BonetCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0002-7710-361X
Javier de Juan-BagudáInstituto de Investigación y Servicio de Cardiología del Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0002-9847-687X
Antonio Lara-PadrónServicio de Cardiología, Hospital Universitario de Canarias, 38320 Santa Cruz de Tenerife, Spain.
José Manuel García-PinillaCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0001-5999-5741
Juan Luis Bonilla-PalomasServicio de Cardiología, Hospital San Juan de la Cruz, Úbeda, 23400 Jaen, Spain.
Silvia López-FernándezServicio de Cardiología, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
Sonia Mirabet-PérezCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0001-5955-2748
Inés Gómez-OteroCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.
Antonio Castro-FernándezServicio de Cardiología, Hospital Universitario Virgen de la Macarena, 41009 Seville, Spain.
Beatriz Díaz-MolinaCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0002-7773-8121
Josebe Goirigolzarri-ArtazaCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.
Luis Miguel Rincón-DíazCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.
Domingo Andrés Pascual-FigalCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.ORCID 0000-0002-4993-9540
Manuel Anguita-SánchezServicio de Cardiología, Hospital Universitario Reina Sofía, 14004 Cordoba, Spain.
Javier MuñizInstituto de Investigación Biomédica de A Coruña, Universidade da Coruña (UDC), 15006 A Coruña, Spain.
María G Crespo-LeiroCentro de Investigación Biomédica En Red Cardiovascular (CIBERCV), 28029 Madrid, Spain.
Centro de Investigación en Red en Enfermedades Cardiovasculares · ESHospital Clínico San Carlos · ESHospital de Sant Pau · ESHospital San Juan de la Cruz · ESHospital Universitari i Politècnic La Fe · ESHospital Universitario de Canarias · ESHospital Universitario Reina Sofía · ESHospital Universitario Virgen de las Nieves · ESHospital Universitario Virgen Macarena · ESUniversidade da Coruña · ES

Funding

AstraZeneca Farmacéutica, Spain, S.A. ESR-17-13244
6 · The paper itself

Abstract

Hyperkalaemia is a growing concern in the treatment of patients with heart failure and reduced ejection fraction (HFrEF) as it limits the use of some prognostic-modifying drugs and has a negative impact on prognosis. The objective of the present study was to estimate the prevalence of hyperkalaemia in outpatients with HFrEF and its impact on achieving optimal medical treatment. For this purpose, a multicentre, prospective, and observational study was carried out on consecutive HFrEF patients who were monitored as outpatients in heart failure (HF) units and who, in the opinion of their doctor, received optimal medical treatment. A total of 565 HFrEF patients were included from 16 specialised HF units. The mean age was 66 ± 12 years, 78% were male, 45% had an ischemic cause, 39% had atrial fibrillation, 43% were diabetic, 42% had a glomerular filtration rate < 60 mL/min/1.7 m2, and the mean left ventricular ejection fraction was 31 ± 7%. Treatment at the study entry included: 76% on diuretics, 13% on ivabradine, 7% on digoxin, 18.9% on angiotensin-conversing enzyme inhibitors (ACEi), 11.3% on angiotensin receptors blockers (ARBs), 63.8% on angiotensin-neprilysin inhibitors (ARNi), 78.5% on mineralocorticoid receptor antagonists (MRAs), and 92.9% on beta-blockers. Potassium levels in the baseline analysis were: ≤5 mEq/L = 80.5%, 5.1−5.4 mEq/L = 13.8%, 5.5−5.9 mEq/L = 4.6%, and ≥6 mEq/L = 1.06%. Hyperkalaemia was the reason for not prescribing or reaching the target dose of an MRAs in 34.8% and 12.5% of patients, respectively. The impact of hyperkalaemia on not prescribing or dropping below the target dose in relation to ACEi, ARBs, and ARNi was significantly less. In conclusion, hyperkalaemia is a frequent problem in the management of patients with HFrEF and a limiting factor in the optimisation of medical treatment.

Indexed as

heart failurehyperkalaemiamedical treatment

Identifiers

PMID35268260
PMCPMC8910891
OpenAlexW4213447106

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.