Evidence map›Paper›PMID 39565797›Full record

ArticlePloS one2024

Association between admission baseline blood potassium levels and all-cause mortality in patients with acute kidney injury combined with sepsis: A retrospective cohort study.

Yifan Guo, Yue Qiu, Taiqi Xue, Pu Yan, Wenjing Zhao, Mengdi Wang, Cheng Liu, Ning Zhang

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Predictive Nomogram for Acute Kidney Injury Risk with Vancomycin and Piperacillin Tazobactam in Sepsis Treatment.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  4. 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

8 authors.

Yifan GuoDepartment of Endocrinology and Nephropathy, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Yue QiuDepartment of Endocrinology, Miyun Hospital District, The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China.
Taiqi XueDepartment of Endocrinology and Nephropathy, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Pu YanDepartment of Endocrinology and Nephropathy, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Wenjing ZhaoDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Mengdi WangDepartment of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Cheng LiuDepartment of Human Anatomy, Program for Cancer and Cell Biology, Histology and Embryology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Ning ZhangDepartment of Endocrinology and Nephropathy, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0009-0002-4041-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImbalances in blood potassium (K) homeostasis is a significant contributor to the emergence of severe complications, especially among critically ill patients. Hypokalemia and hyperkalemia are both associated with an increased risk of adverse events. However, it is not known about the impact of blood K levels on risk of intensive care units (ICU) mortality for Acute kidney injury (AKI) combined with sepsis patients. This study aimed to explore the relationship between admission blood K levels and ICU 30-day mortality in patients with AKI combined with sepsis.

methodsWe selected patients diagnosed with AKI and sepsis on their first ICU admission from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The first blood K levels within 24 hours of admission were categorized into three groups according to tertiles (T1 < 3.9 mmol/L, 3.9 ≤ T2 < 4.5 mmol/L, and T3 ≥ 4.5 mmol/L), with T2 serving as the reference. We examined the association between blood K levels and ICU 30-day mortality using accelerated failure time (AFT) models and survival analysis.

resultsA total of 8,242 ICU patients with AKI combined with sepsis were included. In multivariate AFT models, each 1 mmol/L increase in blood K levels was associated with a 13% increase in the risk of ICU 30-day mortality (p < 0.001, 95% confidence interval (CI): 1.06-1.20). Extended multivariable AFT models showed that, compared to the middle category, patients with high blood K levels (≥ 4.5 mmol/L) were associated with all-cause mortality (p = 0.002, adjusted hazard ratio (HR) = 1.22, 95% CI: 1.08-1.38), whereas those with low blood K levels (< 3.9 mmol/L) showed no significant difference (p = 0.385, adjusted HR = 1.06, 95% CI: 0.93-1.21). Kaplan-Meier curves indicated that patients with high blood K levels had higher mortality, and those with middle blood potassium levels (3.9 ≤ K < 4.5 mmol/L) had the lowest mortality.

conclusionThe admission baseline blood K levels were significantly associated with ICU 30-day mortality in intensive care patients suffering from AKI in conjunction with sepsis. Therefore, immediate and careful correction of blood potassium imbalances may prove to be a crucial approach in improving outcomes for these patients.

Indexed as

Acute Kidney InjuryIntensive Care UnitsPotassiumSepsisAgedFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesPotassium

Identifiers

PMID39565797
PMCPMC11578480

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.