Evidence map›Paper›PMID 31393910›Full record

ArticlePloS one2019

Dyskalemia, its patterns, and prognosis among patients with incident heart failure: A nationwide study of US veterans.

Kunihiro Matsushita, Yingying Sang, Chao Yang, Shoshana H Ballew, Morgan E Grams, Josef Coresh, Miklos Z Molnar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Management of hyperkalemia: Expert consensus from Kuwait - a Modified Delphi Approach.International journal of nephrology and renovascular disease · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Observational
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

7 authors at 2 institutions in 1 country.

Kunihiro MatsushitaJohns Hopkins University, Baltimore, MD, United States of America.ORCID 0000-0002-7179-718X
Yingying SangJohns Hopkins University, Baltimore, MD, United States of America.
Chao YangJohns Hopkins University, Baltimore, MD, United States of America.
Shoshana H BallewJohns Hopkins University, Baltimore, MD, United States of America.
Morgan E GramsJohns Hopkins University, Baltimore, MD, United States of America.
Josef CoreshJohns Hopkins University, Baltimore, MD, United States of America.
Miklos Z MolnarUniversity of Tennessee Health Science Center, Memphis, TN, United States of America.
Johns Hopkins University · USUniversity of Tennessee Health Science Center · US

Funding

Chronic Kidney Disease Prognosis Consortium (CKD-PC)R01DK100446 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2014 to 2026
$10.7M
NIDDK NIH HHS R01 DK100446
6 · The paper itself

Abstract

backgroundAlthough hypokalemia has been viewed as a significant concern among patients with heart failure (HF), recent advances in HF management tend to increase the risk of hyperkalemia.

objectiveTo characterize contemporary data regarding correlates and prognostic values of dyskalemia in patients with HF. DESIGN, SETTING, AND

participantsIn cross-sectional and longitudinal analyses, we studied 142,087 patients with newly diagnosed HF in US nationwide Veterans Administration database from 2005 through 2013. EXPOSURES: Demographic characteristics, laboratory variables, comorbidities, and medication use for the analysis of correlates of dyskalemia as well as potassium level in the analysis of mortality. MAIN OUTCOMES AND MEASURES: Dyskalemia and mortality.

resultsHypokalemia (<3.5 mmol/L) at baseline was observed in 3.0% of the population, whereas hyperkalemia (≥5.5 mmol/L) was seen in 0.9%. An additional 20.4% and 5.7% had mild hypokalemia (3.5-3.9 mmol/L) and mild hyperkalemia (5.0-5.4 mmol/L). Key correlates were black race, higher blood pressure, and use of potassium-wasting diuretics for hypokalemia, and lower kidney function for hyperkalemia. Baseline potassium levels showed a U-shaped association with mortality, with the lowest risk between 4.0-4.5 mmol/L. With respect to potassium levels over a year after HF diagnosis, persistent (>50% of measurements), intermittent (>1 occurrence but ≤50%), and transient (1 occurrence) hypo- and hyperkalemia were also related to increased mortality in a graded fashion regardless of the aforementioned thresholds for dyskalemia. These dyskalemic patterns were also related to other clinical actions and demands such as emergency room visit.

conclusionsPotassium levels below 4 mmol/L and above 5 mmol/L at and after HF diagnosis were associated with poor prognosis and the clinical actions. HF patients (particularly with risk factors for dyskalemia like black race and kidney dysfunction) may require special attention for both hypo- and hyperkalemia.

Indexed as

AgedBlack or African AmericanBlood PressureCross-Sectional StudiesDiureticsFemaleHeart FailureHumansHyperkalemiaHypokalemiaIncidenceLongitudinal StudiesMaleMiddle AgedPotassiumPrognosisDiureticsPotassium

Identifiers

PMID31393910
PMCPMC6687136
OpenAlexW2967238169

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.