Evidence map›Paper›PMID 32602236›Full record

ArticleESC heart failure2020

Hyperkalaemia and hypokalaemia outpatient management: a survey of 500 French general practitioners.

Laure Abensur Vuillaume, Patrick Rossignol, Zohra Lamiral, Nicolas Girerd, Jean-Marc Boivin

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Laure Abensur VuillaumeUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques, Plurithématique 1433, and Inserm 1116 DCAC, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Patrick RossignolUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques, Plurithématique 1433, and Inserm 1116 DCAC, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Zohra LamiralUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques, Plurithématique 1433, and Inserm 1116 DCAC, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Nicolas GirerdUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques, Plurithématique 1433, and Inserm 1116 DCAC, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Jean-Marc BoivinUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques, Plurithématique 1433, and Inserm 1116 DCAC, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Inserm · FR

Funding

Lorraine Université d'Excellence ANR-15-IDEX-04-LUERHU Fight-HF ANR-15-RHUS-0004
6 · The paper itself

Abstract

aimsHow general practitioners (GPs) manage dyskalaemia is currently unknown. This study aimed at describing GP practices regarding hypokalaemia or hyperkalaemia diagnosis and management in their outpatients. METHODS AND

resultsA telephone survey was conducted among French GPs with a 20-item questionnaire (16 closed-ended questions and 12 open-ended questions) regarding their usual management of hypokalaemia or hyperkalaemia patients, both broadly and more specifically in patients with heart failure and/or chronic kidney disease and/or in patients treated with angiotensin-converting enzyme/angiotensin receptor blockers or mineralocorticoid receptor antagonists. We aimed to interview 500 GPs spread geographically throughout France. This descriptive survey results are presented as mean ± standard deviation (if normally distributed or as median and inter-quartile range if the distribution was skewed). Categorical variables are expressed as frequencies and proportions (%). A total of 500 GPs participated in the study. Dyskalaemia thresholds (for diagnosis and intervention) and management patterns were highly heterogeneous. The mean ± SD (range) potassium level leading to 'intervene' was 5.32 ± 0.34 mmol/L (4.5-6.5) for hyperkalaemia and 3.23 ± 0.34 mmol/L (2.0-6.5) for hypokalaemia. Potassium levels leading to refer the patient to the emergency department (ED) were 6.14 ± 0.55 (4.5-10) and 2.69 ± 0.42 mmol/L (1-4), respectively. Potassium binders (51-65%) or potassium supplements (67-74%) were frequently used to manage hyperkalaemia or hypokalaemia. GPs uncommonly referred their dyskalaemic patients to cardiologists or nephrologists (or to the emergency department, if the latter was deemed necessary owing to the severity of the dyskalaemia). We identified an association between the close vicinity of GP office from an ED and 'referring a heart failure patient' (19.2% with ED vs. 8.6% without ED) and referring a heart failure and chronic kidney disease patient on mineralocorticoid receptor antagonist (16.7% with ED vs. 9.3% without ED). Although the majority (67%) of GPs had an electrocardiogram on hand, it was rarely used (14%) in dyskalaemic patients. Subgroup analyses considering gender, age of the participating GPs, and high-income/low-income regions did not identify specific patterns regarding the multidimensional aspect of dyskalaemia management.

conclusionsOwing to the considerable heterogeneity of French GP practices toward dyskalaemia diagnosis and management approaches, there is a likely need to standardize (potentially enabled by therapeutic algorithms) practices.

Indexed as

General PractitionersHyperkalemiaHypokalemiaFranceHumansOutpatientsPotassiumSurveys and QuestionnairesPotassiumChronic kidney disease/ mineralocorticoid receptor antagonistGeneral practitionersHeart failureHyperkalaemiaHypokalaemia

Identifiers

PMID32602236
PMCPMC7524073
OpenAlexW3039063888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.