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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id><journal-title-group>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2025.1730891</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Evaluation of near-infrared spectroscopy, transcranial Doppler, and ophthalmic ultrasound measurements in critically Ill pediatric patients with increased intracranial pressure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Yavas</surname><given-names>Damla Pinar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
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<contrib contrib-type="author"><name><surname>Yildizdas</surname><given-names>Dincer</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Misirlioglu</surname><given-names>Merve</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2232462/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role></contrib>
<contrib contrib-type="author"><name><surname>Ekinci</surname><given-names>Faruk</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1245910/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Incecik</surname><given-names>Faruk</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role></contrib>
<contrib contrib-type="author"><name><surname>Ozgur Horoz</surname><given-names>Ozden</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1246543/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Pediatric Intensive Care, Cukurova University Faculty of Medicine</institution>, <city>Adana</city>, <country country="">T&#x00FC;rkiye</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pediatric Neurology, Cukurova University Faculty of Medicine</institution>, <city>Adana</city>, <country country="">T&#x00FC;rkiye</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Damla Pinar Yavas <email xlink:href="mailto:damlapinaryavas@gmail.com">damlapinaryavas@gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><label>&#x2020;</label><p>ORCID Damla Pinar Yavas <uri xlink:href="https://orcid.org/0000-0002-0424-4155">orcid.org/0000-0002-0424-4155</uri> Dincer Yildizdas <uri xlink:href="https://orcid.org/0000-0003-0739-5108">orcid.org/0000-0003-0739-5108</uri> Merve Misirlioglu <uri xlink:href="https://orcid.org/0000-0002-9554-841X">orcid.org/0000-0002-9554-841X</uri> Faruk Ekinci <uri xlink:href="https://orcid.org/0000-0001-6675-3150">orcid.org/0000-0001-6675-3150</uri> Ozden Ozgur Horoz <uri xlink:href="https://orcid.org/0000-0001-7590-650X">orcid.org/0000-0001-7590-650X</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-06"><day>06</day><month>01</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>13</volume><elocation-id>1730891</elocation-id>
<history>
<date date-type="received"><day>23</day><month>10</month><year>2025</year></date>
<date date-type="rev-recd"><day>08</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>09</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Yavas, Yildizdas, Misirlioglu, Ekinci, Incecik and Ozgur Horoz.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Yavas, Yildizdas, Misirlioglu, Ekinci, Incecik and Ozgur Horoz</copyright-holder><license><ali:license_ref start_date="2026-01-06">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p></license>
</permissions>
<abstract><sec><title>Objectives</title>
<p>Non-invasive methods are needed to rapidly assess increased ICP, especially for managing patients when invasive devices are unavailable or contraindicated. This study aims to examine the diagnostic value of transcranial Doppler (TCD), ophthalmic ultrasound measurements, and near-infrared spectroscopy (NIRS) to define non-invasive ICP (nICP) in the evaluation of pediatric intensive care unit (PICU) patients with increased ICP.</p>
</sec><sec><title>Methods</title>
<p>This is a Single center prospective case-control study. The study group comprised 32 pediatric patients with increased ICP, while the control group comprised 64 healthy children. The following non-invasive methods were measured prospectively: optic nerve sheath diameter (ONSD)-derived nICP (nICPONSD), central retinal artery Doppler indices, arterial TCD blood velocities, pulsatility index (PI)-derived nICP (nICPPI), Lindegaard ratio (L/R), and NIRS values.</p>
</sec><sec><title>Results</title>
<p>Mean ONSD, retinal artery resistive index (RI), middle cerebral artery (MCA) RI, nICPONSD, and L/R were significantly greater in the study group than the control group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.011, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, respectively). There was no significant correlation between ONSD and NIRS values or between MCA PI and NIRS values. The ONSD measurement was the strongest parameter, with an area under the curve (AUC) of 0.92 (95&#x0025; CI&#x2009;&#x003D;&#x2009;0.884&#x2013;0.986) and the best cut-off value being 5.27&#x2005;mm (sensitivity&#x2009;&#x003D;&#x2009;76.56&#x0025;; specificity&#x2009;&#x003D;&#x2009;96.87&#x0025;) for detecting increased ICP.</p>
</sec><sec><title>Conclusion</title>
<p>The availability and utilization of both TCD and ophthalmic ultrasound methods have recently increased. This is the first pediatric report that focuses on comparing ONSD, TCD, and NIRS and evaluates the Doppler indices in patients with increased ICP.</p>
</sec>
</abstract>
<kwd-group>
<kwd>central retinal artery</kwd>
<kwd>Doppler indices</kwd>
<kwd>NIRS</kwd>
<kwd>optic nerve sheath diameter</kwd>
<kwd>pediatric</kwd>
<kwd>pulsatility index</kwd>
<kwd>resistive index</kwd>
<kwd>transcranial Doppler</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="6"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="25"/><page-count count="10"/><word-count count="1110"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Pediatric Critical Care</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Increased intracranial pressure (ICP) is an important syndrome caused by numerous neurologic diseases. Monitoring and managing increased ICP in critically ill pediatric patients is vital to prevent secondary brain injury, poor neurological outcomes, and mortality (<xref ref-type="bibr" rid="B1">1</xref>). Invasive ICP measurement is the gold standard for initially diagnosing and monitoring increased ICP. However, it is invasive, expensive, and has contraindications, such as hepatic encephalopathy with coagulopathy, bleeding disorders, and brain abscess. It is also not always available due to a lack of equipment (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). In such settings, non-invasive methods are needed to rapidly assess increased ICP and manage patients. CT and MRI have some limitations: they take a long time, necessitate patient transportation, and are expensive. Point-of-care ultrasound is a non-invasive method that might be preferable due to its low cost and rapid assessment capabilities (<xref ref-type="bibr" rid="B4">4</xref>). Near-Infrared Spectroscopy (NIRS) can assess changes in regional cerebral oxygen saturation and provides non-invasive monitoring of cellular tissue oxygenation (<xref ref-type="bibr" rid="B5">5</xref>). Elevated ICP can reduce cerebral blood flow and regional cerebral oxygen saturation, potentially leading to lower NIRS value. However, NIRS alone can not be used to calculate an indirect ICP value such as those derived from ONSD or TCD-based PI (<xref ref-type="bibr" rid="B5">5</xref>). The ONSD is non-invasive and can be quickly performed at the bedside. The dura mater extends along the optic nerve, which is also surrounded by cerebrospinal fluid (CSF). Increased ICP is transmitted through the subarachnoid space. Additionally, the central retinal and ophthalmic arteries&#x0027; Doppler indices, such as peak systolic blood velocities (PSV), end-diastolic blood velocities (EDV), pulsatility index (PI), and resistive index (RI) measurements, can be used in cases of increased ICP (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Using TCD ultrasonography can provide a bedside assessment of cerebral blood flow velocities and rapid changes in cerebral perfusion in critically ill children with increased ICP. This technique quantifies the PSV, EDV, and mean cerebral blood flow velocities (MFV) within the large cerebral arteries. The non-invasive determination of ICP using TCD can be calculated using the Gosling PI. The PI is a hemodynamic measure calculated as the difference between the PSV and EDV divided by the mean velocity [(PSV&#x2212;EDV)/MFV] (<xref ref-type="bibr" rid="B8">8</xref>). Cerebral vasospasm (CV) suggests hyperdynamic flow, stenotic arterial disease, or a vasospastic reaction. CV is determined when the Lindegaard ratio [ratio of flow in the MCA to the extracranial internal carotid artery (ICA); L/R] is &#x2265;3 (<xref ref-type="bibr" rid="B9">9</xref>). The L/R helps differentiate hyperemia from CV. Hyperemia would result in flow elevations in both the MCA and extracranial ICA, resulting in an L/R &#x003C;3. An L/R between 3 and 6 is a sign of mild vasospasm, and &#x003E;6 is an indication of severe vasospasm (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>The aim of this study is to examine the diagnostic value of TCD, ophthalmic ultrasound measurements, and NIRS in defining non-invasive ICP (nICP). We also sought to determine the possible correlation between these non-invasive methods in the evaluation of pediatric intensive care unit (PICU) patients with increased ICP. We aimed to calculate nICP using the correlated PI formula with TCD and the ONSD-derived formula with ophthalmic ultrasound.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Materials and methods</title>
<p>Patients admitted to our PICU at &#x00C7;ukurova University Medical Faculty between May 2020 and May 2021 due to clinical or radiological suspicion of increased ICP were included in this single-center study. Clinically, suspicion of increased ICP was determined by altered consciousness level, loss of brainstem reflex, dilated or unresponsive pupil, cranial nerve injury, and Cushing&#x0027;s triad. Radiologically, it was identified by shifts, ventricular collapse, effacement of sulci, and compression in the cisterna (<xref ref-type="bibr" rid="B11">11</xref>). Data was collected prospectively from 32 children (1 month-18 years) with increased ICP. 64 children, who were admitted to our general pediatric outpatient clinic and did not have increased ICP symptoms or any other neurological diseases, were included as the control group. Exclusion criteria include being under one month or over 18 years old, having a history of ocular pathology or optic nerve trauma, absence of informed consent, skull base fracture with a CSF leak, an inaccessible ultrasound temporal window, and a diagnosis of brain death, patients who were transferred from other hospitals Demographic data, Glasgow Coma Scale (GCS) at admission, the pediatric version of Glasgow Outcome Score (GOSE PEDS) (<xref ref-type="bibr" rid="B3">3</xref>) at discharge, diagnosis at admission, results of cranial CT and MRI examinations, and results of the TCD, ONSD, and NIRS measurements were recorded. All initial TCD, ONSD measurements were performed within 24&#x2005;h after admission to our PICU, measurements were repeated four times a day and continued until the patient was discharged or for the first seven days.</p>
<p>The study was approved by the Ethics Committee for Clinical Research in &#x00C7;ukurova University Medical Faculty. The study protocol was approved by the local institutional ethics committee and was performed in accordance with the Helsinki Declaration of 1975. Written parental consents were obtained from all participants.</p>
<sec id="s2a"><title>Transcranial Doppler ultrasound method</title>
<p>The TCD examinations were performed by two experienced PICU fellows (DPY, MM), who completed a point-of-care ultrasound (POCUS) course provided by the Turkish Pediatric Emergency and Intensive Care Society using a Mindray&#x00AE; Ultrasound device with a 2&#x2005;MHz transducer. In training sessions prior to the study, a coefficient of &#x003C;10&#x0025; variation for each study measurement between sonographers was demonstrated. TCD recordings were included in the study if the bedhead was adjusted to 20&#x00B0;&#x2013;30&#x00B0;; the head of the patient was positioned at the midline; arterial carbon dioxide pressure (PaCO&#x2082;) was between 30 and 45&#x2005;mmHg; and hemodynamics were stable with blood pressure within the normal range for age while map values were maintained within the normal age-adjusted reference ranges, in accordance with institutional pediatric TBI protocols. For each patient, we recorded bilateral MCA flow velocities (PSV, MFV, and EDV), PI, and RI measurements using the transtemporal window (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). We used the PI and correlation formula (ICP&#x2009;&#x003D;&#x2009;10.927&#x2009;&#x00D7;&#x2009;PI&#x2013;1.284) to calculate nICP (nICP<sub>PI</sub>) (<xref ref-type="bibr" rid="B12">12</xref>). For L/R extracranial ICA velocity flows were recorded.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>TCD MCA blood velocities and Doppler indices.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g001.tif"><alt-text content-type="machine-generated">Ultrasound image displaying a spectral Doppler waveform and a color-coded flow in a vessel, likely a cerebral artery. Measurements include PSV at 97.44 cm/s, EDV at 58.60 cm/s, and PGmax at 3.80 mmHg.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2b"><title>Ophthalmic ultrasound method</title>
<p>A 7&#x2005;MHz linear probe and a Mindray&#x00AE; Ultrasound device was used to perform ultrasound examinations of the ONSD. Measurements were made in both the axial and sagittal planes, 3&#x2005;mm behind the retina in both eyes. The mean value of these measurements was calculated (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The central retinal artery flow velocities and Doppler indices (PSV, EDV, PI, RI) were recorded with colored Doppler (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). Non-invasive ICP was calculated with ONSD (nICP<sub>ONSD</sub>: 5&#x2009;&#x00D7;&#x2009;ONSD&#x2212;13.92&#x2005;mmHg) (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Ultrasonographic OSND measurement.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g002.tif"><alt-text content-type="machine-generated">Ultrasound image showing optical nerve sheath diameter measurements. Measurements exhibit 3.00 and 6.48 mm in diameter.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Measurement of ophthalmic artery Doppler indices.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g003.tif"><alt-text content-type="machine-generated">Doppler ultrasound image showing blood flow with color mapping in a vessel. Numerical data on the left includes PSV at 9.06 cm/s, EDV at 3.06 cm/s, and PGmax at 0.03 mmHg. A spectral waveform graph is displayed below.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2c"><title>NIRS</title>
<p>The INVOS&#x00AE; 5100C Cerebral Oximeter (Somanetics, Troy, MI) was used for the NIRS. Measurements were made using a disposable sensor placed on the bilateral frontal area of the head and continued until the patient was discharged or for the first seven days.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>The software IBM SPSS Statistics Standard 26 was used for the statistical analysis of the data. Descriptive statistics (mean, standard deviation, median, minimum, maximum, IQR) were used. The normal distribution of the numerical variables&#x0027; data was evaluated with the Shapiro&#x2013;Wilk test of normality. The Mann&#x2013;Whitney <italic>U</italic>-test was used for variables that did not show a normal distribution in the comparison of study groups. Relationships between numerical variables were evaluated using the Pearson and Spearman correlation coefficients. The performance of clinical variables in predicting increased ICP was evaluated using receiver operating characteristics (ROC) curve analysis. A statistical significance level of 0.05 was implemented for all tests.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>A total of 287 TCD and ophthalmic ultrasound measurements from 32 patients (17 females) with increased ICP and 67 measurements from 64 children (35 females) who were in the control group were analyzed. Demographic characteristics of patients and control group are given in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Thirty-one patients (97&#x0025;) underwent cranial CT, and the most common diagnosis (<italic>n</italic>&#x2009;&#x003D;&#x2009;19) was local/generalized edema. The underlying diagnoses of increased ICP and other findings are listed in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. Four patients (12.5&#x0025;) died. Ultrasonographic measurements and nICP measurements of the patient and control groups are given in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. Mean ONSD, retinal artery RI, MCA RI, nICP<sub>ONSD</sub>, and L/R were significantly greater in the study group than the control group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.011, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.000, respectively). Although the MCA PI values were greater in the study group than in the control group, no statistically significant value was found (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.147) (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). <xref ref-type="table" rid="T4">Table&#x00A0;4</xref> shows all the parameters that were evaluated for the prediction of increased ICP; among them, the ONSD exhibited the strongest relation with its area under the curve (AUC) value of 0.92 (95&#x0025; confidence interval: 0.869&#x2013;0.978) (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>) and the best cut-off value being 5.27&#x2005;mm (sensitivity&#x2009;&#x003D;&#x2009;76.56&#x0025;; specificity&#x2009;&#x003D;&#x2009;96.87&#x0025;) (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). There was no significant correlation between ONSD and NIRS values or between MCA PI and NIRS values. However, a significant positive relationship was observed between NIRS and both mPSV and MFV (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.029 and 0.011, respectively).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Demographic characteristics of patients and control group.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">Patient group<break/><italic>n</italic>&#x2009;<italic>&#x003D;</italic>&#x2009;32</th>
<th valign="top" align="center">Control group<break/><italic>n</italic>&#x2009;<italic>&#x003D;</italic>&#x2009;64</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">Age (months)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">88.88&#x2009;&#x00B1;&#x2009;56.5</td>
<td valign="top" align="center">111.98&#x2009;&#x00B1;&#x2009;49.03</td>
<td valign="top" align="center" rowspan="2">0.065</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (min&#x2013;max)</td>
<td valign="top" align="center">91.5 (5&#x2013;202)</td>
<td valign="top" align="center">106 (4&#x2013;204)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">Gender, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">15 (47)</td>
<td valign="top" align="center">29 (45)</td>
<td valign="top" align="center" rowspan="2">0.885</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">17 (53)</td>
<td valign="top" align="center">35 (55)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">Age, <italic>n</italic> (&#x0025;) (years)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x003C;1</td>
<td valign="top" align="center">2 (6)</td>
<td valign="top" align="center">1 (2)</td>
<td valign="top" align="center" rowspan="4">0.115</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1&#x2013;5</td>
<td valign="top" align="center">12 (38)</td>
<td valign="top" align="center">13 (20)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6&#x2013;10</td>
<td valign="top" align="center">7 (22)</td>
<td valign="top" align="center">25 (39)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x003E;10</td>
<td valign="top" align="center">11 (34)</td>
<td valign="top" align="center">25 (39)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>The underlying diagnosis of increased ICP and other findings in the patient group.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="center">Patient group<break/><italic>n</italic>&#x2009;<italic>&#x003D;</italic>&#x2009;32</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">GCS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">9.53&#x2009;&#x00B1;&#x2009;3.78</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (min&#x2013;max)</td>
<td valign="top" align="center">11 (3&#x2013;14)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">GCS Scoring, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mild (GCS: 12&#x2013;15)</td>
<td valign="top" align="center">12 (38)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Moderate (GCS: 9&#x2013;11)</td>
<td valign="top" align="center">10 (31)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Severe (GCS: 3&#x2013;8)</td>
<td valign="top" align="center">10 (31)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">PICU hospitalization day</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">11.22&#x2009;&#x00B1;&#x2009;13.82</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (min&#x2013;max)</td>
<td valign="top" align="center">5 (2&#x2013;68)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">NIRS values</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">66.53&#x2009;&#x00B1;&#x2009;14.33</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (min&#x2013;max)</td>
<td valign="top" align="center">62.5 (38&#x2013;95)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Cranial CT findings, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Subdural hematoma</td>
<td valign="top" align="center">2 (6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Subarachnoid hematoma</td>
<td valign="top" align="center">2 (6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Intraparenchymal hematoma</td>
<td valign="top" align="center">3 (9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Epidural hematoma</td>
<td valign="top" align="center">1 (3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cerebral contusion ve laceration</td>
<td valign="top" align="center">2 (6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Subgaleal hematoma</td>
<td valign="top" align="center">1 (3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cerebral infarct</td>
<td valign="top" align="center">2 (6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Local/Generalized edema</td>
<td valign="top" align="center">19 (59)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Need for invasive mechanical ventilation, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">13 (41)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">19 (59)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Diagnosis, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Traumatic causes</td>
<td valign="top" align="center">8 (25)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-traumatic causes</td>
<td valign="top" align="center">24 (75)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Meningoencephalitis</td>
<td valign="top" align="center">6 (19)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Post-arrest care</td>
<td valign="top" align="center">4 (13)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Stroke</td>
<td valign="top" align="center">2 (6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Satus</td>
<td valign="top" align="center">1 (3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;&#x0130;ntracranial mass</td>
<td valign="top" align="center">1 (3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Intracranial bleeding</td>
<td valign="top" align="center">3 (9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;Others</td>
<td valign="top" align="center">7 (22)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Comparison of ultrasonographic measurements and nICP measurements of the patient and control groups.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Measurement type</th>
<th valign="top" align="center">Patient group<break/><italic>n</italic>&#x2009;&#x003D;&#x2009;32<break/>Number of measurements&#x2009;&#x003D;&#x2009;287</th>
<th valign="top" align="center">Control group<break/><italic>n</italic>&#x2009;&#x003D;&#x2009;64<break/>Number of measurements&#x2009;&#x003D;&#x2009;67</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center">Mean&#x2009;&#x00B1;&#x2009;SD</th>
<th valign="top" align="center">Mean&#x2009;&#x00B1;&#x2009;SD</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">ONSD, (mm)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">5.73&#x2009;&#x00B1;&#x2009;0.47</td>
<td valign="top" align="center">4.92&#x2009;&#x00B1;&#x2009;0.4</td>
<td valign="top" align="center" rowspan="3"><bold>0</bold><bold>.</bold><bold>000</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">5.6 (0.57)</td>
<td valign="top" align="center">4.9 (0.66)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(4.78&#x2013;7)</td>
<td valign="top" align="center">(4.15&#x2013;5.52)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">Retinal artery RI</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">0.72&#x2009;&#x00B1;&#x2009;0.17</td>
<td valign="top" align="center">0.59&#x2009;&#x00B1;&#x2009;0.08</td>
<td valign="top" align="center" rowspan="3"><bold>0</bold><bold>.</bold><bold>000</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">0.71 (0.21)</td>
<td valign="top" align="center">0.57 (0.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(0.5&#x2013;1.4)</td>
<td valign="top" align="center">(0.43&#x2013;0.8)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">MCA MFV, (cm/s)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">77.16&#x2009;&#x00B1;&#x2009;28.32</td>
<td valign="top" align="center">76.1&#x2009;&#x00B1;&#x2009;13.12</td>
<td valign="top" align="center" rowspan="3">0.622</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">72.14 (47.08)</td>
<td valign="top" align="center">74.93 (16.75)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(35.26&#x2013;132.45)</td>
<td valign="top" align="center">(50.6&#x2013;112.2)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">MCA EDV, (cm/s)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">50.08&#x2009;&#x00B1;&#x2009;23.57</td>
<td valign="top" align="center">52.52&#x2009;&#x00B1;&#x2009;12.42</td>
<td valign="top" align="center" rowspan="3">0.164</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">42.72 (39.98)</td>
<td valign="top" align="center">52.74 (15.87)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(14.83&#x2013;93.91)</td>
<td valign="top" align="center">(5.59&#x2013;94.61)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">MCA PI</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">1.05&#x2009;&#x00B1;&#x2009;0.38</td>
<td valign="top" align="center">0.88&#x2009;&#x00B1;&#x2009;0.18</td>
<td valign="top" align="center" rowspan="3">0.147</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">0.91 (0.55)</td>
<td valign="top" align="center">0.89 (0.25)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(0.52&#x2013;1.98)</td>
<td valign="top" align="center">(0.43&#x2013;1.28)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">MCA RI</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">0.63&#x2009;&#x00B1;&#x2009;0.13</td>
<td valign="top" align="center">0.56&#x2009;&#x00B1;&#x2009;0.08</td>
<td valign="top" align="center" rowspan="3"><bold>0</bold><bold>.</bold><bold>011</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">0.6 (0.17)</td>
<td valign="top" align="center">0.57 (0.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(0.43&#x2013;0.98)</td>
<td valign="top" align="center">(0.36&#x2013;0.71)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">nICP<sub>PI</sub></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">10.2&#x2009;&#x00B1;&#x2009;4.07</td>
<td valign="top" align="center">8.29&#x2009;&#x00B1;&#x2009;1.98</td>
<td valign="top" align="center" rowspan="3">0.095</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">8.63 (5.72)</td>
<td valign="top" align="center">8.35 (2.65)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(4.4&#x2013;20.3)</td>
<td valign="top" align="center">(4&#x2013;12.7)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">L/R</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">1.89&#x2009;&#x00B1;&#x2009;0.81</td>
<td valign="top" align="center">1.11&#x2009;&#x00B1;&#x2009;0.18</td>
<td valign="top" align="center" rowspan="3"><bold>0</bold><bold>.</bold><bold>000</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">1.89 (1.43)</td>
<td valign="top" align="center">1.1 (0.23)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(0.52&#x2013;3.2)</td>
<td valign="top" align="center">(0.8&#x2013;1.95)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">nICP<sub>ONDS</sub></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">14.73&#x2009;&#x00B1;&#x2009;2.35</td>
<td valign="top" align="center">10.57&#x2009;&#x00B1;&#x2009;1.93</td>
<td valign="top" align="center" rowspan="3"><bold>0</bold><bold>.</bold><bold>000</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">14 (3)</td>
<td valign="top" align="center">10.5 (2.96)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(9.9&#x2013;21)</td>
<td valign="top" align="center">(6.8&#x2013;13.92)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="4">MCA PSV, (cm/s)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">120.89&#x2009;&#x00B1;&#x2009;42.33</td>
<td valign="top" align="center">120.67&#x2009;&#x00B1;&#x2009;20.37</td>
<td valign="top" align="center" rowspan="3">0.568</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M (IQR)</td>
<td valign="top" align="center">116.64 (71.08)</td>
<td valign="top" align="center">119.18 (25.89)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;(min&#x2013;max)</td>
<td valign="top" align="center">(43.78&#x2013;215.49)</td>
<td valign="top" align="center">(84.02&#x2013;162.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate highly significant <italic>p</italic> values (<italic>p</italic> &#x003C; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Evaluation of ultrasound measurement results in order to predict the increased ICP by ROC curve analysis.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Measurement type</th>
<th valign="top" align="center"><italic>AUC</italic> (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">Youden index J</th>
<th valign="top" align="center">Cut-off</th>
<th valign="top" align="center">Sensitivity (95&#x0025; CI)</th>
<th valign="top" align="center">Specificity (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Retinal artery RI</td>
<td valign="top" align="center">0.77 (0.666&#x2013;0.878)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>0001</bold></td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">85.94 (75.0&#x2013;93.4)</td>
<td valign="top" align="center">62.50 (43.7&#x2013;78.9)</td>
</tr>
<tr>
<td valign="top" align="left">ONSD</td>
<td valign="top" align="center">0.92 (0.869&#x2013;0.978)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>0001</bold></td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">5.27</td>
<td valign="top" align="center">76.56 (64.3&#x2013;86.2)</td>
<td valign="top" align="center">96.87 (83.8&#x2013;99.9)</td>
</tr>
<tr>
<td valign="top" align="left">MCA RI</td>
<td valign="top" align="center">0.66 (0.537&#x2013;0.782)</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>0109</bold></td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">90.62 (80.7&#x2013;96.5)</td>
<td valign="top" align="center">37.50 (21.1&#x2013;56.3)</td>
</tr>
<tr>
<td valign="top" align="left">MCA PI</td>
<td valign="top" align="center">0.59 (0.460&#x2013;0.723)</td>
<td valign="top" align="center">0.1746</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">95.31 (86.9&#x2013;99.0)</td>
<td valign="top" align="center">31.25 (16.1&#x2013;50.0)</td>
</tr>
<tr>
<td valign="top" align="left">MCA EDV</td>
<td valign="top" align="center">0.59 (0.440&#x2013;0.735)</td>
<td valign="top" align="center">0.2444</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">41.66</td>
<td valign="top" align="center">85.94 (75.0&#x2013;93.4)</td>
<td valign="top" align="center">50.00 (31.9&#x2013;68.1)</td>
</tr>
<tr>
<td valign="top" align="left">MCA MFV</td>
<td valign="top" align="center">0.53 (0.379&#x2013;0.683)</td>
<td valign="top" align="center">0.6887</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">59.78</td>
<td valign="top" align="center">90.62 (80.7&#x2013;96.5)</td>
<td valign="top" align="center">40.63 (23.7&#x2013;59.4)</td>
</tr>
<tr>
<td valign="top" align="left">L/R</td>
<td valign="top" align="center">0.77 (0.644&#x2013;0.906)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>0001</bold></td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">1.3</td>
<td valign="top" align="center">93.75 (84.8&#x2013;98.3)</td>
<td valign="top" align="center">71.87 (53.3&#x2013;86.3)</td>
</tr>
<tr>
<td valign="top" align="left">nICP<sub>PI</sub></td>
<td valign="top" align="center">0.60 (0.476&#x2013;0.734)</td>
<td valign="top" align="center">0.1101</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">11.9</td>
<td valign="top" align="center">98.44 (91.6&#x2013;100.0)</td>
<td valign="top" align="center">31.25 (16.1&#x2013;50.0)</td>
</tr>
<tr>
<td valign="top" align="left">nICP<sub>ONDS</sub></td>
<td valign="top" align="center">0.94 (0.884&#x2013;0.986)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>0001</bold></td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">12.4</td>
<td valign="top" align="center">79.69 (67.8&#x2013;88.7)</td>
<td valign="top" align="center">96.87 (83.8&#x2013;99.9)</td>
</tr>
<tr>
<td valign="top" align="left">MCA PSV</td>
<td valign="top" align="center">0.54 (0.389&#x2013;0.683)</td>
<td valign="top" align="center">0.6314</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">98.8</td>
<td valign="top" align="center">85.94 (75.0&#x2013;93.4)</td>
<td valign="top" align="center">40.63 (23.7&#x2013;59.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate highly significant <italic>p</italic> values (<italic>p</italic> &#x003C; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>The ROC curve of ONSD for predicting increased ICP.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g004.tif"><alt-text content-type="machine-generated">Receiver Operating Characteristic (ROC) curve showing sensitivity versus 100-specificity. The blue line represents the performance of ONDS, while the diagonal red dashed line indicates a random classifier. The curve shows high sensitivity and specificity.</alt-text>
</graphic>
</fig>
<p>A positive relationship was revealed between nICP<sub>PI</sub> and ONSD, and MCA RI (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>). A negative relationship was observed with MCA MFV, MCA EDV, and L/R There was a positive relation between nICP<sub>ONSD</sub> and MCA PI and a negative relation with MCA EDV, L/R, and GKS (<xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref>). A significant relationship was found between L/R and the diagnoses of meningoencephalitis, post-arrest care, and non-traumatic intracranial hemorrhage.</p>
<fig id="F5" position="float"><label>Figure&#x00A0;5</label>
<caption><p>Correlations between Non-invasive ICP (nICPPI) estimates and ultrasound parameters.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g005.tif"><alt-text content-type="machine-generated">Scatter plot titled \"NICP_PI\" displaying data points for five categories: ONSD, MCA RI, MCA MFV, MCA EDV, and L/R. Each category has an orange p-value and a blue Rho value. Notable values include a p-value of 0.049 for ONSD and a Rho of 0.719 for MCA RI. Other Rho values are negative, such as -0.593 for MCA RI, -0.767 for MCA EDV, and -0.515 for L/R.</alt-text>
</graphic>
</fig>
<fig id="F6" position="float"><label>Figure&#x00A0;6</label>
<caption><p>Correlations between Non-invasive ICP (nICPONSD) and ultrasonographic parameters.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1730891-g006.tif"><alt-text content-type="machine-generated">Scatter plot depicting the correlation between NICP ONDS and various metrics: MCA PI, MCA EDV, L/R, and GKS. Blue circles represent Rho values: 0.252 for MCA PI, -0.469 for MCA EDV, -0.466 for L/R, and -0.555 for GKS. Orange lines indicate p-values: 0.013 for MCA PI, 0.007 for both MCA EDV and L/R, and 0.001 for GKS.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>According to our results, ONSD had the best correlation with increased ICP compared to TCD and NIRS. We found that, clinically suspected ICP patients had higher PI values. Several studies comparing TCD and ONSD in patients with suspected increased ICP have reported inconsistent and sometimes conflicting results (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Although some pediatric studies have examined NIRS together with either TCD or ONSD, no previous pediatric study has evaluated ONSD, TCD, and NIRS simultaneously within the same cohort. To our knowledge, this is the first pediatric report comparing ONSD, TCD, and NIRS together in the same cohort of children with suspected increased ICP.</p>
<p>The PI has been one of the most frequently used TCD-derived nICP estimation methods. Many studies in the literature focused on the association between PI and ICP in patients with increased ICP (<xref ref-type="bibr" rid="B9">9</xref>). Some authors have reported a strong association between PI and ICP; however, other studies have reported poor correlations between these parameters. Nakip et al. evaluated TCD-PI and ONSD together in a pediatric TBI cohort for non-invasive ICP assessment, and reported that both parameters have potential value for monitoring and prognosticanation (<xref ref-type="bibr" rid="B16">16</xref>). Rasulo et al. conducted a study in which 16 international centers participated and reported that nICP, calculated by TCD measurements, had high accuracy in excluding intracranial hypertension. The correlation between TCD nICP and invasively measured ICP was 33.3&#x0025; (<xref ref-type="bibr" rid="B17">17</xref>). We similarly found that nICP<sub>PI</sub> had values significantly lower than 15 mmHg in the control group, while they had different values in the study group. In this study, PI showed a weak relationship with an AUC value of 0.59 (0.440&#x2013;0.735) for the prediction of increased ICP.</p>
<p>RI was also used to predict increased ICP. El-Maghrabi et al. performed RI measurements of the MCA with 30 infants with possible hydrocephalus. In terms of RI measurements, they found a significant difference between infants with high ICP and those with normal ICP (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.001). The cut-off point of the RI was 0.7, with high sensitivity, specificity, and accuracy (<xref ref-type="bibr" rid="B18">18</xref>). In the literature, several studies have shown a good correlation between RI and raised ICP (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Likewise, we found that the RI was significantly greater in the study group than in the control group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.011). The cut-off value was 0.63 (sensitivity: 90.62&#x0025;; specificity: 37.5&#x0025;) for the prediction of increased ICP.</p>
<p>In the literature, studies have reported that vasospasm following head trauma contributes to poor outcomes and have highlighted the potential role of TCD in the detection of vascular spasms (<xref ref-type="bibr" rid="B15">15</xref>). The American Heart Association gives a class IIa recommendation to the statement, &#x201C;TCD is reasonable to monitor for the development of arterial vasospasm&#x201D; (<xref ref-type="bibr" rid="B20">20</xref>). In a study focused on 69 children with moderate and severe TBI that used L/R&#x2009;&#x003E;&#x2009;3, the incidence of vasospasm was 9&#x0025; in children with moderate TBI and 34&#x0025; in children with severe TBI (<xref ref-type="bibr" rid="B21">21</xref>). In the current study, the incidence of vasospasm (L/R&#x2009;&#x003E;&#x2009;3) was 22&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;7), while a negative relationship between L/R and increased ICP was found. We found a significant relationship between L/R and the diagnoses of meningoencephalitis, post-arrest care, and non-traumatic intracranial hemorrhage.</p>
<p>In a study conducted on 38 pediatric patients with increased ICP and 19 healthy children, the authors found that ONSD and RI (mean ONSD&#x2009;&#x003D;&#x2009;5.9&#x2009;&#x00B1;&#x2009;0.8&#x2005;mm, mean RI&#x2009;&#x003D;&#x2009;0.71&#x2009;&#x00B1;&#x2009;0.08) were significantly higher in the study group than in 19 healthy children. The ONSD measurement was the strongest parameter, with an AUC value of 0.767, for predicting increased ICP (<xref ref-type="bibr" rid="B7">7</xref>). In our study, the central retinal artery RI (mean RI&#x2009;&#x003D;&#x2009;0.72&#x2009;&#x00B1;&#x2009;0.17) and ONSD values were significantly higher in the study group. The best cut-off value of RI was 0.64 (sensitivity: 85.94&#x0025;; specificity: 62.50&#x0025;).</p>
<p>Padayachy et al. determined that the best ONSD cut-off values for detecting ICP &#x2265;15 and &#x2265;20&#x2005;mmHg were 5.49 (sensitivity: 93.7&#x0025;; specificity: 74.4&#x0025;) and 5.75&#x2009;mm (sensitivity: 88.9&#x0025;; specificity: 84.2&#x0025;), respectively, in 172 children who required invasive ICP monitoring (<xref ref-type="bibr" rid="B22">22</xref>). In our study, the mean ONSD was 5.73&#x2009;&#x00B1;&#x2009;0.47&#x2005;mm in the group with suspected increased ICP and 4.92&#x2009;&#x00B1;&#x2009;0.4&#x2005;mm in the control group. We determined the cut-off value to be 5.27&#x2005;mm (sensitivity: 76.56&#x0025;; specificity: 96.87&#x0025;) for ONSD in the study group. In pediatric patients younger than 16 years, the study compared ONSD-derived nICP, TCD-PI&#x2013;based (PIa) nICP, and TCD diastolic-velocity&#x2013;based nICP methods; ONSD demonstrated the strongest correlation, and the study focused exclusively on non-invasive ICP estimation techniques (<xref ref-type="bibr" rid="B3">3</xref>). Our study determined that ONSD exhibited the strongest relationship with an AUC value of 0.92 (95&#x0025; CI: 0.869&#x2013;0.978).</p>
<p>In a study conducted on 47 adult patients with TBI, the authors determined a significant correlation between retinal RI and invasive ICP (<xref ref-type="bibr" rid="B23">23</xref>). Tarzamni et al. reported that ONSD, PSV, and RI (mean RI&#x2009;&#x003D;&#x2009;0.76&#x2009;&#x00B1;&#x2009;0.07) were significantly higher in 30 children with raised ICP than in 30 healthy children (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Zuluaga et al. determined that in 30 children, who had increased ICP and underwent invasive ICP monitoring, NIRS decreased with an increase in ICP, but there was no significant correlation between NIRS and increased ICP (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.3) (<xref ref-type="bibr" rid="B24">24</xref>) Pilot pediatric study that compared NIRS and ONSD measurements in children with suspected raised ICP. Found no strong correlation between NIRS and ONSD (<xref ref-type="bibr" rid="B2">2</xref>). In our study, no significant correlation between NIRS and increased ICP was found. On the other hand, a positive relation between NIRS values and PSV and EDV measurements was observed throughout the study.</p>
<p>Systematic and narrative reviews that collate pediatric and adult data for ONSD, TCD, NIRS and other non-invasive approaches&#x2014;useful to cite when you argue that the pediatric evidence base is still limited and heterogeneous (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The major limitation of our study was the inability to routinely apply invasive ICP monitoring in our PICU, owing to the high equipment costs and the absence of an experienced neurosurgery team in our hospital. In the current study, we used clinical and radiological methods to measure an increase in ICP. Unfortunately, the correlation between invasive ICP and ONSD, TCD, and NIRS could not be determined. Another limitation is the study&#x0027;s small sample size. Further prospective studies with a larger number of patients are needed.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Our study found that ONSD exhibited the best accuracy when compared to NIRS- and TCD-derived nICP methods for detecting increased ICP. NIRS values reflect regional cerebral oxygen saturation and show correlations with clinically suspected increased ICP, but they do not provide a quantitative ICP value.</p>
<p>In the literature, a limited number of studies evaluated NIRS and ONSD or TCD and ONSD in patients with increased ICP. To our knowledge, this study contributes to such limited pediatric literature evaluating ONSD, TCD, and NIRS together in patients with clinically suspected increased ICP, Further studies with larger series focusing on ultrasound methods for nICP assessment are needed.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>Written informed consent was obtained from the individual(s), and minor(s)&#x0027; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>DY: Data curation, Methodology, Conceptualization, Investigation, Validation, Funding acquisition, Writing &#x2013; review &#x0026; editing, Software, Writing &#x2013; original draft, Formal analysis, Resources. DY: Methodology, Project administration, Funding acquisition, Supervision, Resources, Writing &#x2013; review &#x0026; editing. MM: Resources, Writing &#x2013; review &#x0026; editing, Conceptualization, Data curation. FE: Methodology, Data curation, Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. FI: Visualization, Software, Writing &#x2013; review &#x0026; editing, Supervision. OO: Formal analysis, Resources, Validation, Methodology, Writing &#x2013; review &#x0026; editing, Supervision, Conceptualization.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
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<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
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</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/949084/overview">Christian Dohna-Schwake</ext-link>, Essen University Hospital, Germany</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/267608/overview">Abhishek Patel</ext-link>, Baylor College of Medicine, Houston, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3264195/overview">Ozlem Saritas Nakip</ext-link>, Birmingham Children&#x0027;s Hospital, United Kingdom</p></fn>
</fn-group>
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</article>