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The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission
BACKGROUND: Perturbation of osmolality is associated with increased mortality in adults and children in critically ill conditions. However, it is still unclear whether osmolality imbalance impacts the prognosis of critically ill infants. This study aimed to investigate the relationship between plasm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522910/ https://www.ncbi.nlm.nih.gov/pubmed/37772037 http://dx.doi.org/10.3389/fped.2023.1173133 |
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author | Liu, Weiqin Xiang, Lingling Zhao, Zhiwei Lin, Lu Wei, Hong Hua, Ziyu |
author_facet | Liu, Weiqin Xiang, Lingling Zhao, Zhiwei Lin, Lu Wei, Hong Hua, Ziyu |
author_sort | Liu, Weiqin |
collection | PubMed |
description | BACKGROUND: Perturbation of osmolality is associated with increased mortality in adults and children in critically ill conditions. However, it is still unclear whether osmolality imbalance impacts the prognosis of critically ill infants. This study aimed to investigate the relationship between plasma osmolality and prognosis in critically ill infants within 24 h of admission. METHODS: This retrospective study enrolled 1,042 infants who had plasma osmolality data from 2010 to 2018. The initial plasma osmolality (within 24 h after admission) was extracted from the pediatric intensive care database (PIC V1.1). The locally weighted scatter-plot smoothing (LOWESS) and restricted cubic splines (RCS) methods were used to explore the approximate relationship between plasma osmolality and in-hospital mortality. Univariate and multivariate logistic regression analyses were used to further analyse this relationship. Kaplan–Meier analysis was applied to estimate the probability of hospital mortality within 90 days of admission. Subgroup analysis was employed to assess the impact of potential confounders (including postnatal days, gender, and gestational age). RESULTS: An approximately“U”-shaped relationship between plasma osmolality and mortality was detected. In the logistic regression model, plasma osmolality <270 mmol/L (low osmolality group) was significantly associated with in-hospital mortality (P < 0.05; OR 2.52; 95% CI, 1.15–5.06). Plasma osmolality >300 mmol/L (high osmolality group) was also significantly associated with mortality (P < 0.05; OR 3.52; 95% CI, 1.16–8.83). This association remained even after multivariable adjustments. The 90-day survival rate was lower in the abnormal plasma osmolality group (including high or low osmolality groups) than in the intermediate group (log-rank test, P < 0.05). The abnormal plasma osmolality group had a significantly higher incidence of all-cause mortality in the 0–7 postnatal days subgroup (high osmolality group, P < 0.05; OR 5.25; low osmolality group, P < 0.05; OR 3.01). Infants with abnormal osmolality had a significantly higher mortality rate in the female group (P < 0.05). High osmolality was associated with a higher mortality rate in the preterm group (P < 0.05). CONCLUSIONS: Both hypoosmolality and hyperosmolality were shown to be independently associated with increased risk of in-hospital infant mortality in NICUs. |
format | Online Article Text |
id | pubmed-10522910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105229102023-09-28 The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission Liu, Weiqin Xiang, Lingling Zhao, Zhiwei Lin, Lu Wei, Hong Hua, Ziyu Front Pediatr Pediatrics BACKGROUND: Perturbation of osmolality is associated with increased mortality in adults and children in critically ill conditions. However, it is still unclear whether osmolality imbalance impacts the prognosis of critically ill infants. This study aimed to investigate the relationship between plasma osmolality and prognosis in critically ill infants within 24 h of admission. METHODS: This retrospective study enrolled 1,042 infants who had plasma osmolality data from 2010 to 2018. The initial plasma osmolality (within 24 h after admission) was extracted from the pediatric intensive care database (PIC V1.1). The locally weighted scatter-plot smoothing (LOWESS) and restricted cubic splines (RCS) methods were used to explore the approximate relationship between plasma osmolality and in-hospital mortality. Univariate and multivariate logistic regression analyses were used to further analyse this relationship. Kaplan–Meier analysis was applied to estimate the probability of hospital mortality within 90 days of admission. Subgroup analysis was employed to assess the impact of potential confounders (including postnatal days, gender, and gestational age). RESULTS: An approximately“U”-shaped relationship between plasma osmolality and mortality was detected. In the logistic regression model, plasma osmolality <270 mmol/L (low osmolality group) was significantly associated with in-hospital mortality (P < 0.05; OR 2.52; 95% CI, 1.15–5.06). Plasma osmolality >300 mmol/L (high osmolality group) was also significantly associated with mortality (P < 0.05; OR 3.52; 95% CI, 1.16–8.83). This association remained even after multivariable adjustments. The 90-day survival rate was lower in the abnormal plasma osmolality group (including high or low osmolality groups) than in the intermediate group (log-rank test, P < 0.05). The abnormal plasma osmolality group had a significantly higher incidence of all-cause mortality in the 0–7 postnatal days subgroup (high osmolality group, P < 0.05; OR 5.25; low osmolality group, P < 0.05; OR 3.01). Infants with abnormal osmolality had a significantly higher mortality rate in the female group (P < 0.05). High osmolality was associated with a higher mortality rate in the preterm group (P < 0.05). CONCLUSIONS: Both hypoosmolality and hyperosmolality were shown to be independently associated with increased risk of in-hospital infant mortality in NICUs. Frontiers Media S.A. 2023-09-12 /pmc/articles/PMC10522910/ /pubmed/37772037 http://dx.doi.org/10.3389/fped.2023.1173133 Text en © 2023 Liu, Xiang, Zhao, Lin, Wei and Hua. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pediatrics Liu, Weiqin Xiang, Lingling Zhao, Zhiwei Lin, Lu Wei, Hong Hua, Ziyu The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title | The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title_full | The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title_fullStr | The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title_full_unstemmed | The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title_short | The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
title_sort | association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522910/ https://www.ncbi.nlm.nih.gov/pubmed/37772037 http://dx.doi.org/10.3389/fped.2023.1173133 |
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