Evidence map›Paper›PMID 39493379›Full record

ArticleRisk management and healthcare policy2024

A Retrospective Analysis of Patients Presenting with Acute Hyperkalemia in an Emergency Care Setting.

Lei Zhang, Peng Sun, Xin Liu, Ya Yang, Ruo-Nan Sun, Xu-Dong Wang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Lei Zhang *Department of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.
Peng Sun *Department of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.
Xin LiuDepartment of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.
Ya YangDepartment of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.
Ruo-Nan SunDepartment of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.
Xu-Dong WangDepartment of Emergency Medicine, Aerospace Center Hospital, Beijing, 100049, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to analyze the clinical characteristics and prognostic factors of patients with severe hyperkalemia in the emergency department. Methods: This retrospective cohort study included adult patients diagnosed with severe hyperkalemia who sought medical care at the emergency department of Aerospace Center Hospital between January 2018 and May 2022. Clinical data, including demographics, comorbidities, laboratory findings, and outcomes, were systematically collected. Patients were categorized into survival and deceased groups based on in-hospital mortality. Comparative analysis between these groups identified significant differences, highlighting key clinically covariates. Binary logistic regression was employed to determine the primary factors influencing patient outcomes. Results: Of 90 patients diagnosed with severe hyperkalemia, 64 were in the survival group, and 26 in the deceased group. Binary logistic regression identified several significant predictors of mortality, including higher APACHE II scores (odds ratio [OR] 1.41, Conclusion: Key risk factors for mortality in patients with severe hyperkalemia include widened QRS wave on ECG, elevated APACHE II score, and high serum potassium level. Timely correction of hyperkalemia through emergency blood purification significantly improves patient outcomes.

Indexed as

clinical manifestationprognosisrisk factorssevere hyperkalemiatreatment

Identifiers

PMID39493379
PMCPMC11531236

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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.