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Science, Technology, Engineering, Management and Medicine
The Correlation between Changes in Serum Sodium and Hospital Mortality in Critically Ill Children with Acute Kidney Injury
DOI: https://doi.org/10.62517/jmhs.202405101
Author(s)
Yue Yan1#, Yu Han2#, Xuan Zhang1,*, Xiangkui Li3, Hao Zhu1,*, Jing Liu1, Yinxu Liu1, Jing Zhang1, Hao Wang1, Luyao Zhou1
Affiliation(s)
1 College of Physics and Information Engineering, Zhaotong University, Zhaotong, Yunnan, China 2 Rolling car room, Hongta Tobacco (Group) Co., Ltd. Dali Cigarette Factory, Dali, Yunnan, China 3 College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China # These authors contributed equally to the research. * Corresponding Author
Abstract
For critically ill patients with acute kidney injury (AKI), early warning and intervention can be achieved through monitoring serum sodium levels. However, the normal range of serum sodium levels in AKI patients in the intensive care unit (ICU) is not yet clear. This article aims to use statistical methods to study the relationship between changes in serum sodium and hospital mortality in critically ill children with acute kidney injury. This article conducted a retrospective observational cohort study on multiple critically ill children with acute kidney injury using the China Large Pediatric Intensive Care Database to demonstrate that serum sodium levels as an independent predictor can be used to evaluate the hospital mortality rate of critically ill children with AKI. A total of 1505 eligible critically ill children with acute kidney injury were included in the study. The research results indicate that the normal range of serum sodium in children with AKI is approximately 135 to 142mmol/L. The increase or decrease in serum sodium concentration in critically ill children with acute kidney injury admitted to ICU is associated with in-hospital mortality. Therefore, in the ICU, it is necessary to continuously monitor and evaluate the serum sodium levels of children with acute kidney injury to prevent death due to the progression of the disease.
Keywords
Serum Sodium; Intensive Care Unit; Acute Kidney Injury; Mortality Rate; Children
References
[1] ADAMS D, DE JONGE R, VAN DER CAMMEN T, et al. Acute kidney injury in patients presenting with hyponatremia. J Nephrol, 2011, 24(6): 749-55. [2] LEE S W, BAEK S H, AHN S Y, et al. The Effects of Pre-Existing Hyponatremia and Subsequent-Developing Acute Kidney Injury on In-Hospital Mortality: A Retrospective Cohort Study. PLoS One, 2016, 11(9): 0162990. [3] Susantitaphong P, Cruz DN, Cerda J, et al. World incidence of AKI: a meta-analysis. Clin J Am Soc Nephrol. 2013, 8: 1482-1493. [4] Bihorac A, Kellum J A, Bellomo R, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA.2005, 294: 813-818. [5] James MT, Hemmelgarn BR, Wiebe N, et al. Glomerular filtration rate, proteinuria, and the incidence and consequences of acute kidney injury: a cohort study. The Lancet. 2010, 376: 2096-2103. [6] Han S S, Kim S, Ahn S Y, et al. Duration of acute kidney injury and mortality in critically ill patients: a retrospective observational study. BMC nephrology.2013, 14: 133. [7] Bihorac A, Brennan M, Ozrazgat-Baslanti T, et al. National surgical quality improvement program underestimates the risk associated with mild and moderate postoperative acute kidney injury. Crit Care Med.2013, 41: 2570-2583. [8] Hoste EA, Bagshaw SM, Bellomo R, et al. Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Intensive Care Med. 2015, 41(8):1411–23. [9] Kaddourah, A., Basu, R. K., Bagshaw, S. M., Goldstein, S. L. & Investigators, A. Epidemiology of acute kidney injury in critically Ill children and young adults. N. Engl. J. Med. 2017, 376(1), 11-20. [10] Chang Hu, Qing Tan, Qinran Zhang, et al. Application of interpretable machine learning for early prediction of prognosis in acute kidney injury. Computational and Structural Biotechnology Journal.2022, 20: 2861-2870. [11] Canzheng Wei, Lifan Zhang, Yunxia Feng, et al.Machine learning model for predicting acute kidney injury progression in critically ill patients. BMC Medical Informatics and Decision Making. 2022, 22: 17. [12] Mingxia Lia, Qinghe Zhuang, Shuangping Zhao, et al. Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease. RENAL FAILURE. 2022, 1886-1896. [13] Xu Xin, Nie Xi, Zhang An, Jianhua Male, Liu Hong, Xia Hong, Xu Hong, Liu Zhong, Feng Nan, Zhou Wen, etc. A new standard for pediatric AKI based on reference changes in serum creatinine. Epinephrine. 2018, 29: 2432-2442.
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