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. 2024 May 22;10(11):e31753.
doi: 10.1016/j.heliyon.2024.e31753. eCollection 2024 Jun 15.

The relationship between potassium levels and 28-day mortality in sepsis patients: Secondary data analysis using the MIMIC-IV database

Affiliations

The relationship between potassium levels and 28-day mortality in sepsis patients: Secondary data analysis using the MIMIC-IV database

Juan Tang et al. Heliyon. .

Abstract

Objective: The goal of the research is to investigate the link between serum potassium levels and death after 28 days in sepsis patients, utilizing an extensive sample of patients from the multi-center Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Current research on serum potassium levels and 28-day mortality in sepsis patients is questionable. This study adds to the growing body of evidence linking serum potassium levels to the 28-day possibility of death in patients with sepsis.

Methods: We collected 349,08 patients with sepsis from the retrospective cohort MIMIC-IV database, using serum potassium level on the first day of admission to the intensive care unit as the exposure variable and mortality at 28 days as the outcome variable. And controlled for confounding characteristics including gender, age, ethnicity, and vital signs during admission.

Results: Serum potassium has a U-shaped connection with 28-day mortality in patients suffering from sepsis. The turning point was 4.10 mmol/L (95 % confidence interval: 4.03 to 4.22). Serum potassium and 28-day mortality were negatively linked on the inflection point's left side (OR: 0.72; 95 % CI: 0.63 to 0.83, P < 0.0001); on the opposing side of the point of inflexion, serum potassium was enthusiastically attached to 28-day mortality. (OR: 1.13; 95 % CI: 1.06 to 1.21, P < 0.0001).

Conclusion: The research conducted found that too high or too low potassium levels were linked to a 28-day risk of mortality in humans with sepsis.

Keywords: 28 day-mortality; Potassium; Sepsis.

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Conflict of interest statement

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Yongmei Liu reports financial support was provided by the Affiliated Hospital of Guizhou Medical University Doctoral Start-up Funding. Yu Chen reports financial support was provided by the 10.13039/5011000102652021 hospital-level clinical research project of the Affliated Hospital of Guizhou Medical University. Lu Chen reports financial support was provided by the Science and Technology Fund Project of Guizhou Provincial Health Commission. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
The flowchart of study. In figure, we showed the procedures of subjects selection. Shows the study flowchart, which illustrates how we screened the study subjects from the MIMIC-Ⅳ database.
Fig. 2
Fig. 2
The nonlinear relationship among potassium and sepsis mortality at 28 days. The relationship between the value of potassium and the risk of 28-day deaths. The x-axis represents the value of potassium, ranging from 2 to 9. The y-axis represents the risk of 28-day deaths, ranging from 0.1 to 0.6. There are three lines in the figure, each representing different datasets or conditions: The solid line represents the average relationship between the value of potassium and the risk of 28-day deaths. The upper dotted line represents the upper limit of the risk of 28-day deaths as the value of potassium increases. The lower dotted line represents the lower limit of the risk of 28-day deaths as the value of potassium increases.

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