Abstract:
:An accurate method to predict the mortality in the intensive care unit (ICU) patients has been required, especially in children. The aim of this study is to evaluate the value of serum anion gap (AG) for predicting mortality in pediatric ICU (PICU). We reviewed a data of 461 pediatric patients were collected on PICU admission. Corrected anion gap (cAG), the AG compensated for abnormal albumin levels, was significantly lower in survivors compared with nonsurvivors (p < 0.001). Multivariable logistic regression analysis identified the following variables as independent predictors of mortality; cAG (OR 1.110, 95% CI 1.06-1.17; p < 0.001), PIM3 [OR 7.583, 95% CI 1.81-31.78; p = 0.006], and PRISM III [OR 1.076, 95% CI 1.02-1.14; p = 0.008]. Comparing AUCs for mortality prediction, there were no statistically significant differences between cAG and other mortality prediction models; cAG 0.728, PIM2 0.779, PIM3 0.822, and PRISM III 0.808. The corporation of cAG to pre-existing mortality prediction models was significantly more accurate at predicting mortality than using any of these models alone. We concluded that cAG at ICU admission may be used to predict mortality in children, regardless of underlying etiology. And the incorporation of cAG to pre-existing mortality prediction models might improve predictability.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Kim MJ,Kim YH,Sol IS,Kim SY,Kim JD,Kim HY,Kim KW,Sohn MH,Kim KEdoi
10.1038/s41598-017-01681-9subject
Has Abstractpub_date
2017-05-03 00:00:00pages
1456issue
1issn
2045-2322pii
10.1038/s41598-017-01681-9journal_volume
7pub_type
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