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<article article-type="letter" dtd-version="1.0" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">CEP</journal-id>
<journal-title-group>
<journal-title>Clinical and Experimental Pediatrics</journal-title><abbrev-journal-title>Clin Exp Pediatr</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2713-4148</issn>
<publisher>
<publisher-name>Korean Pediatric Society</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3345/cep.2022.01207</article-id>
<article-id pub-id-type="publisher-id">cep-2022-01207</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Letter to the Editor</subject>
<subj-group subj-group-type="heading">
<subject>Critical Care Medicine</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Role of serum bilirubin-to-albumin ratio as a prognostic index in critically ill children</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-9852-1351</contrib-id>
<name><surname>Kang</surname><given-names>You Min</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-6718-7776</contrib-id>
<name><surname>Kim</surname><given-names>Ga Eun</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af2-cep-2022-01207"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4342-6143</contrib-id>
<name><surname>Park</surname><given-names>Mireu</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-4266-5655</contrib-id>
<name><surname>Kim</surname><given-names>Jong Deok</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-5634-9709</contrib-id>
<name><surname>Kim</surname><given-names>Min Jung</given-names></name>
<degrees>MD</degrees>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-2149-8501</contrib-id>
<name><surname>Kim</surname><given-names>Yoon Hee</given-names></name>
<degrees>MD</degrees>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4529-6135</contrib-id>
<name><surname>Kim</surname><given-names>Kyung Won</given-names></name>
<degrees>MD</degrees>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-2478-487X</contrib-id>
<name><surname>Son</surname><given-names>Myung Hyun</given-names></name>
<degrees>MD</degrees>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4965-6193</contrib-id>
<name><surname>Kim</surname><given-names>Soo Yeon</given-names></name>
<degrees>MD</degrees>
<xref ref-type="corresp" rid="c1-cep-2022-01207"/>
<xref ref-type="aff" rid="af1-cep-2022-01207"><sup>1</sup></xref>
</contrib>
<aff id="af1-cep-2022-01207">
<label>1</label>Department of Pediatrics, Severance Hospital, Yonsei University College of Medicine, Seoul, <country>Korea</country></aff>
<aff id="af2-cep-2022-01207">
<label>2</label>Department of Pediatrics, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-cep-2022-01207">Corresponding Author: Soo Yeon Kim, MD Department of Pediatrics, Severance Children&#x02019;s Hospital, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea Email: <email>sophi1@yuhs.ac</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<month>2</month>
<year>2023</year></pub-date>
<pub-date pub-type="epub">
<day>5</day>
<month>12</month>
<year>2022</year></pub-date>
<volume>66</volume>
<issue>2</issue>
<fpage>85</fpage>
<lpage>87</lpage>
<history>
<date date-type="received">
<day>5</day>
<month>10</month>
<year>2022</year></date>
<date date-type="rev-recd">
<day>31</day>
<month>10</month>
<year>2022</year></date>
<date date-type="accepted">
<day>5</day>
<month>12</month>
<year>2022</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000a9; 2023 by The Korean Pediatric Society</copyright-statement>
<copyright-year>2023</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
</article-meta></front>
<body>
<p>To the Editor</p>
<p>Accurate prediction of patient mortality is important for ensuring the quality and effectiveness of care in critically ill children. It allows clinicians to assess a patient&#x02019;s prognosis and plan appropriate treatment accordingly, including resource utilization &#x0005b;<xref ref-type="bibr" rid="b1-cep-2022-01207">1</xref>,<xref ref-type="bibr" rid="b2-cep-2022-01207">2</xref>&#x0005d;. In critically ill children, scoring scales like Pediatric Mortality Index (PIM) and Pediatric Risk of Mortality (PRISM), as well as serologic markers such as serum lactates are widely utilized currently as predictive tools &#x0005b;<xref ref-type="bibr" rid="b2-cep-2022-01207">2</xref>-<xref ref-type="bibr" rid="b4-cep-2022-01207">4</xref>&#x0005d;.</p>
<p>The liver is an immunologically complex organ that plays a pivotal role in inflammation, and bilirubin serves as a representative marker of liver dysfunction &#x0005b;<xref ref-type="bibr" rid="b5-cep-2022-01207">5</xref>&#x0005d;. In addition, hypoalbuminemia has been proven to be related to increased mortality, prolonged hospital stay, and increased duration of invasive mechanical ventilation (IMV) &#x0005b;<xref ref-type="bibr" rid="b6-cep-2022-01207">6</xref>&#x0005d;. Although hyperbilirubinemia and hypoalbuminemia are frequently found in critically ill patients, few studies have focused on the bilirubin-to-albumin ratio (B/A ratio) &#x0005b;<xref ref-type="bibr" rid="b7-cep-2022-01207">7</xref>,<xref ref-type="bibr" rid="b8-cep-2022-01207">8</xref>&#x0005d;. Furthermore, few studies are conducted in the pediatric population. Hence, this study aimed to determine the values of the B/A ratio and its initial trend in critically ill pediatric patients and to determine their association with clinical prognosis.</p>
<p>A retrospective study was conducted in a university-affiliated tertiary hospital in South Korea. Our study was approved by the Institutional Review Board (IRB) of Severance Hospital (Seoul, Korea; IRB No. 4-2021-0303), and the need for informed consent was waived. We screened 1,622 patients aged between 1 month and 18 years admitted to the pediatric intensive care unit (PICU) between September 1, 2016 and August 31, 2020. Exclusion criteria cover cases with less than 3 days of intensive care unit (ICU) stay, within 1 month of readmission, no data on bilirubin or albumin levels, admission for hepatic failure as the main cause, or comorbidities related to the hepatobiliary system. Data on clinical features, PRISM III scores, laboratory test, and the need for IMV were collected; subsequently, consecutive B/A ratio levels were calculated for the first week from the PICU admission date. We also obtained data on individual albumin supplementation over the same period. The primary outcome was PICU mortality. Secondary outcomes were ventilator-free days (VFDs), PICU length of stay and duration of IMV in survivors. VFDs were defined by subtracting the ventilator-care days from 28 in survivors and by zero for cases whose ventilator-care duration was more than 28 days or who were nonsurvivors.</p>
<p>Statistical process was accomplished by IBM SPSS Statistics ver. 22.0 (IBM Co., Armonk, NY, USA) and R ver. 3.2.3 (R Foundation for Statistical Computing, Vienna, Austria). Multivariate Cox-regression analyses were performed to determine the independent effect of B/A ratio on mortality, and receiver operating characteristic (ROC) curve analysis was conducted to investigate the predictive ability for mortality. Survival curves were acquired using Kaplan-Meier method, and multiple linear and logistic regression analyses were applied to investigate the association with the secondary outcomes.</p>
<p>A total of 558 children were analyzed. <xref ref-type="supplementary-material" rid="SD1-cep-2022-01207">Supplementary Table 1</xref> shows the baseline characteristics of the study population. Sex and age did not differ between survivors and nonsurvivors. All values of B/A ratio from days 1 to 7 were higher in nonsurvivors than in survivors (<xref ref-type="supplementary-material" rid="SD3-cep-2022-01207">Supplementary Fig. 1</xref>). In addition, all B/A ratios over the first week after PICU admission were consistently associated with an increased risk of mortality after adjustment for potential confounders (<xref rid="t1-cep-2022-01207" ref-type="table">Table 1</xref>). Although serum albumin levels were significantly lower in nonsurvivors only on day 1, the percentage of patients received albumin replacement were consistently higher in nonsurvivors than in survivors during the first week (data not shown).</p>
<p><xref ref-type="supplementary-material" rid="SD4-cep-2022-01207">Supplementary Fig. 2</xref> shows the ROC curves for the initial B/A ratio and PRISM III; the AUC were 0.778 and 0.811, respectively, without statistical difference between the two. Also, a cutoff value confirmed through the ROC curve was 0.13. On survival analysis, B/A ratio was divided into high and low groups using the cutoff value, and the high B/A ratio group showed a high risk of mortality (<italic>P</italic>&lt;0.001) (<xref rid="f1-cep-2022-01207" ref-type="fig">Fig. 1</xref>).</p>
<p>VFDs also showed a negative association with the B/A ratio after adjusting for potential covariates (<italic>&#x003b2;</italic>&#x0003d;-2.482, <italic>P</italic>&#x0003d;0.001). Significant correlations were observed with B/A ratio when VFDs were converted into a categorical variable of VFDs&#x0003d;0 (odds ratio &#x0005b;OR&#x0005d;, 2.130; 95% confidence interval &#x0005b;CI&#x0005d;, 1.163&#x02013;3.898; <italic>P</italic>&#x0003d;0.014) or VFDs &lt;14 (OR, 2.227; 95% CI, 1.129&#x02013;4.395; <italic>P</italic>&#x0003d;0.021) (<xref ref-type="supplementary-material" rid="SD2-cep-2022-01207">Supplementary Table 2</xref>).</p>
<p>To summarize, in critically ill children, initial B/A ratios were higher in nonsurvivors than in survivors. Serial B/A ratios over the first week after PICU admission consistently showed a positive association with mortality risk, and it showed comparable predictive ability on mortality with PRISM III score. In addition, the B/A ratio was negatively correlated with VFDs, while there were no significant associations with length of ICU stay and IMV duration.</p>
<p>Cholestasis can be induced frequently by critical illness, which might account for up to 20% of ICU patients &#x0005b;<xref ref-type="bibr" rid="b9-cep-2022-01207">9</xref>&#x0005d;. However, the results of studies on the association between bilirubin and mortality are still controversial &#x0005b;<xref ref-type="bibr" rid="b10-cep-2022-01207">10</xref>&#x0005d;. Hypoalbuminemia has been proven to be related to adverse outcomes including mortality; however, albumin is not currently included in the existing mortality prediction scores, such as PIM and PRISM. In our study, albumin levels differed only in the initial values between the 2 groups, possibly because of subsequent albumin replacement during PICU care. It is noteworthy that in the subgroup analysis excluding hematology-oncology patients, the initial bilirubin level did not significantly differ between survivors and nonsurvivors, whereas albumin level and B/A ratio were significantly different. This might suggest that considering bilirubin and albumin altogether, rather than bilirubin alone, may be useful and widely applicable for predicting mortality in critically ill children.</p>
<p>This study has several limitations. First, as this was a retrospective and observational study, the mechanism and causality could not be identified. Second, as this was a single-center study, it may be difficult to generalize the results.</p>
<p>In conclusion, the B/A ratio can be used as an independent predictor of mortality in critically ill children. As it is easy to measure, it may be used as a practical index for mortality in combination with the existing scoring systems.</p>
</body>
<back>
<sec sec-type="supplementary-material"><title>Supplementary material</title>
<p>Supplementary Tables 1-2 and Figs. 1-2 can be found via <ext-link xlink:href="https://doi.org/10. 3345/cep.2022.01207" ext-link-type="uri">https://doi.org/10. 3345/cep.2022.01207</ext-link>.</p>
<supplementary-material content-type="loca-data" id="SD1-cep-2022-01207">
<label>Supplementary Table 1.</label><caption><p>Demographic and baseline characteristics of study population</p></caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="cep-2022-01207-Supplementary-Table-1.pdf"/></supplementary-material>
<supplementary-material content-type="loca-data" id="SD2-cep-2022-01207">
<label>Supplementary Table 2.</label><caption><p>Multivariate regression analysis of association of initial B/A ratio value with clinical outcomes</p></caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="cep-2022-01207-Supplementary-Table-2.pdf"/></supplementary-material>
<supplementary-material content-type="loca-data" id="SD3-cep-2022-01207">
<label>Supplementary Fig. 1.</label><caption><p>A serial change in bilirubin (A), albumin (B), and bilirubin-to-albumin ratio (C) between survivors (line in blue) and nonsurvivors (line in red) during the first week after pediatric intensive care unit admission.</p></caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="cep-2022-01207-Supplementary-Fig-1.pdf"/></supplementary-material>
<supplementary-material content-type="loca-data" id="SD4-cep-2022-01207">
<label>Supplementary Fig. 2.</label><caption><p>Predictive ability of initial B/A ratio and PRISM III score using ROC curves. There was no significant difference between the AUC values of initial B/A ratio and PRISM III (<italic>P</italic>=0.433). ROC, receiver operating characteristic; PRISM III, pediatric risk of mortality III; B/A ratio, bilirubin-to-albumin ratio; AUC, area under the curve.</p></caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="cep-2022-01207-Supplementary-Fig-2.pdf"/></supplementary-material>
</sec>
<fn-group>
<fn fn-type="conflict"><p><bold>Conflict of interests</bold></p>
<p>The authors have no competing interests to disclose.</p></fn>
<fn fn-type="financial-disclosure"><p><bold>Funding</bold></p>
<p>This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</p></fn>
<fn fn-type="participating-researchers"><p><bold>Author contribution</bold></p>
<p>Conceptualization: All authors; Formal Analysis: YMK, JDK, MJK, SYK; Investigation: YMK, GEK, MP, SYK; Methodology: YMK, GEK, MP, SYK; Project administration: SYK; Writing-Original Draft: YMK, SYK; WritingReview&amp;Editing: SYK, YHK, KWK, MHS.</p></fn>
</fn-group>
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<title>Figures and Tables</title>
<fig id="f1-cep-2022-01207" position="float">
<label>Fig. 1.</label><caption><p>Kaplan-Meier analysis of high and low initial B/A ratio categorized by the cutoff value of 0.13. B/A ratio, bilirubin-to-albumin ratio.</p></caption>
<graphic xlink:href="cep-2022-01207f1.tif"/></fig>

<table-wrap id="t1-cep-2022-01207" position="float">
<label>Table 1.</label>
<caption><p>Multivariate Cox-regression analysis of association between B/A ratio during first week and mortality risk</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Time point</th>
<th align="center" valign="middle">Hazard ratio<sup><xref rid="tfn1-cep-2022-01207" ref-type="table-fn">&#x02020;</xref></sup></th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle"><italic>P</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Day 1 (admission)</td>
<td valign="top" align="center">1.486</td>
<td valign="top" align="center">1.221&#x02013;1.810</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 2</td>
<td valign="top" align="center">1.516</td>
<td valign="top" align="center">1.169&#x02013;1.955</td>
<td valign="top" align="center"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 3</td>
<td valign="top" align="center">1.461</td>
<td valign="top" align="center">1.196&#x02013;1.784</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 4</td>
<td valign="top" align="center">1.635</td>
<td valign="top" align="center">1.330&#x02013;2.010</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 5</td>
<td valign="top" align="center">1.434</td>
<td valign="top" align="center">1.175&#x02013;1.749</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 6</td>
<td valign="top" align="center">1.405</td>
<td valign="top" align="center">1.148&#x02013;1.721</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Day 7</td>
<td valign="top" align="center">1.374</td>
<td valign="top" align="center">1.137&#x02013;1.661</td>
<td valign="top" align="center"><bold>0.001</bold></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>B/A ratio, bilirubin-to-albumin ratio; CI, confidence interval; PICU, pediatric intensive care unit.</p></fn>
<fn id="tfn1-cep-2022-01207"><label>&#x02020;</label><p>Hazard ratios were adjusted for age, sex, reason for PICU admission, and underlying comorbidities.</p></fn>
<fn><p>Boldface indicates a statistically significant difference with <italic>P</italic>&lt;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
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