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. 2024 Nov 22;26(4):303-310.
doi: 10.1016/j.ccrj.2024.09.003. eCollection 2024 Dec.

ICU-acquired hypernatremia: Prevalence, patient characteristics, trajectory, risk factors, and outcomes

Collaborators, Affiliations

ICU-acquired hypernatremia: Prevalence, patient characteristics, trajectory, risk factors, and outcomes

Ahmad Nasser et al. Crit Care Resusc. .

Abstract

Objective: Knowledge of intensive care unit (ICU) acquired hypernatremia (ICU-AH) has been hampered by the absence of granular data and confounded by variable definitions and inclusion criteria.

Design: Multicentre retrospective cohort study.

Setting: Twelve ICUs in Queensland (QLD), Australia.

Participants: Adult patients admitted to ICU from 2015 to 2021. Only the first ICU admission was considered, and we categorised patients into mild (146-150 mmol·L-1), moderate (151-155 mmol·L-1) and severe (>155 mmol·L-1) ICU-acquired hypernatremia.

Main outcome measure: We aimed to study the prevalence of ICU-AH, patient characteristics, trajectory, risk factors, and outcomes.

Results: Data from 55,255 ICU admissions were included in the analysis, of which 4146 (7.5 %) patients had ICU-AH. These were subcategorised into mild (n = 2,670, 4.8 %), moderate (n = 1,073, 1.9 %) and severe (n = 403, 0.73 %) forms. Median time to diagnosis was 4 (2-6) d after ICU admission, while median time to peak serum sodium level was 5 (3-8) d. The median maximum sodium level across the cohort was 149 (147-152) mmol·L-1. The sodium correction rate was 1 mmol·L-1 per day, taking a median of 3 d (1-5) for sodium levels to return below 145 mmol·L-1. APACHE III score, invasive ventilation, fever, and diuretic use on the day before hypernatremia were independent risk factors for moderate or severe ICU-AH. After adjusting for confounders, all levels of hypernatremia were independently associated with an increased risk of 30-d in-hospital mortality.

Conclusions: In a large multicentric study of critically ill patients, ICU-acquired hypernatremia occurred in one in eight admissions after a median of four days in the ICU and was preceded by identifiable and modifiable risk factors. If severe, its correction was slow, and normalisation was delayed. After adjusting for other factors, all levels of hypernatremia were an independent risk factor for 30-d in-hospital mortality.

Keywords: Critical illness; Diuretics; Electrolyte disturbance; Hypernatremia; Intensive care unit.

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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: Prof Rinaldo Bellomo is on the Critical Care and Resuscitation Editorial Board 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 article.

Figures

Fig. 1
Fig. 1
Frequency distribution plot of maximum serum sodium levels in ICU.
Fig. 2
Fig. 2
Daily maximum serum sodium evolution across time according to severity groups. Points represent the median daily maximum serum sodium level for each ICU-acquired hypernatremia subgroup. The time effect was estimated with a linear mixed model. The model was fitted with time as a fixed effect and a random intercept and slope for each subject to account for multiple measurements per subject. The model included the following specifications: sodium_maxij=β0+β1+timeij+(u0i+u1i·iahgroupij)+ϵij. Where β0 and β1 are the fixed effect, u0i and u1i are random intercept and slope for the subject i, respectively and ϵij the residual error. iahgroup is a categorical variable representing the different subgroups of ICU-Acquired hypernatremia and its interaction with the random slope allow for varying effect of time on daily maximum sodium levels across the different groups.
Fig. 3
Fig. 3
Kaplan Meier survival curve for 30-day hospital mortality according to ICU-acquired hypernatremia severity.

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