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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1623081</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Uncovering subclinical cardiotoxicity across chemotherapy phases in pediatric oncology</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Aurensanz-Clemente</surname>
<given-names>Esther</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Garcia-Canadilla</surname>
<given-names>Patricia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1137632/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Gorostegui</surname>
<given-names>Maite</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380561/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Rivera</surname>
<given-names>Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3062435/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Clara Escobar-D&#xed;az</surname>
<given-names>Mar&#xed;a</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Randanne</surname>
<given-names>Paula</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Morales La Madrid</surname>
<given-names>Andres</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1447898/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sanchez-de-Toledo</surname>
<given-names>Joan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Pediatric Cardiology, Hospital Sant Joan de D&#xe9;u</institution>, <addr-line>Esplugues de Llobregat</addr-line>,&#xa0;<country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Cardiovascular Research Group iCare4Kids, Institut de Recerca Sant Joan de D&#xe9;u</institution>, <addr-line>Esplugues de Llobregat</addr-line>,&#xa0;<country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Data and Digital Strategy Department, Hospital Sant Joan de D&#xe9;u</institution>, <addr-line>Esplugues de Llobregat</addr-line>,&#xa0;<country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pediatric Oncology, Barcelona Pediatric Cancer Center, Hospital Sant Joan de D&#xe9;u</institution>, <addr-line>Esplugues de Llobregat</addr-line>,&#xa0;<country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Neonatology, Barcelona Pediatric Cancer Center, Hospital Sant Joan de D&#xe9;u</institution>, <addr-line>Esplugues de Llobregat</addr-line>,&#xa0;<country>Spain</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Departament of Critical Care Medicine, University of Pittsburgh</institution>, <addr-line>Pittsburgh, PA</addr-line>,&#xa0;<country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2875996/overview">Anna Borowiec</ext-link>, Maria Sklodowska-Curie National Research Institute of Oncology, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/999723/overview">Asmaa Abdel Sameea Mahmoud</ext-link>, University of Menoufia, Egypt</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3048210/overview">Hager Allam</ext-link>, Benha University Hospital, Egypt</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3134277/overview">Diana Lazar</ext-link>, Children&#x2019;s Emergency Clinical Hospital Cluj-Napoca, Romania</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Esther Aurensanz-Clemente, <email xlink:href="mailto:esther.aurensanz@sjd.es">esther.aurensanz@sjd.es</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1623081</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Aurensanz-Clemente, Garcia-Canadilla, Gorostegui, Rivera, Clara Escobar-D&#xed;az, Randanne, Morales La Madrid and Sanchez-de-Toledo.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Aurensanz-Clemente, Garcia-Canadilla, Gorostegui, Rivera, Clara Escobar-D&#xed;az, Randanne, Morales La Madrid and Sanchez-de-Toledo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background and objectives</title>
<p>Advances in cancer therapies have significantly improved survival rates in children. However, treatment-related toxicities remain common. This study aims to evaluate the incidence and characteristics of cardiotoxicity in a pediatric cancer cohort.</p>
</sec>
<sec>
<title>Methods</title>
<p>This prospective study included pediatric patients who received chemotherapy between September 2020 and March 2023. Patients were categorized into five groups according to treatment phase: baseline, early treatment, late treatment, end-of-treatment, and relapse. Cardiovascular evaluation included anthropometric assessment, laboratory biomarkers, electrocardiogram (ECG) and functional echocardiography. Patients were stratified for cardiotoxicity according to pediatric and adult clinical practice guidelines.</p>
</sec>
<sec>
<title>Results</title>
<p>265 patients were included (mean age 9.95 &#xb1; 5.26 years). The incidence of ventricular dysfunction was 2.3%. A decline in LVEF &gt; 10% from baseline was observed in 16.5% of patients. Abnormal global longitudinal strain (GLS) values were found in 34.7%; significant ECG changes in 16.2%, and elevated Troponin I levels in 7.1%. Based on echocardiographic and laboratory findings, patients undergoing treatment showed greater cardiac involvement compared with those in other groups.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Although the overall incidence of overt ventricular dysfunction was low, the use of ECG and GLS enhanced the sensitivity for detecting of subclinical cardiac impairment in pediatric patients receiving chemotherapy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cardiotoxicity</kwd>
<kwd>pediatric cancer</kwd>
<kwd>chemotherapy</kwd>
<kwd>ventricular dysfunction</kwd>
<kwd>echocardiography</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="11"/>
<word-count count="5587"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cardio-Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cancer is the leading cause of disease-related mortality in the pediatric age group (<xref ref-type="bibr" rid="B1">1</xref>). Thanks to advances in the diagnosis and treatment of childhood cancer, more patients are now surviving to adulthood. However, this improved survival has also brought to light the substantial burden of cardiovascular disease, with increased morbidity and mortality attributed to cardiotoxicity (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Childhood cancer survivors (CCS) face a significantly elevated risk of cardiovascular disease as a late effect of cancer therapy. According to data from the Childhood Cancer Survivor Study (CCSS), the risk of developing cardiovascular disease is 5 to 15 times higher in CCS compared to the general population, depending on the specific malignancy and treatment exposure. Moreover, the risk of heart failure is up to 8 times greater in CCS than in their healthy siblings. The spectrum of cardiotoxicity-related complications is broad and includes cancer therapy-related cardiac dysfunction (CTRCD), arrhythmias, valvular disease, and pericardial involvement. Among these, CTRCD is one of the most common and clinically significant. Despite its potential reversibility with early detection and intervention, it often remains undiagnosed in its subclinical stages (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Cardiotoxicity can manifest in the short, medium, or long term (<xref ref-type="bibr" rid="B11">11</xref>). Its etiology and pathogenesis are multifactorial, influenced by both the underlying disease and the treatment received. Moreover, patient-specific risk factors, including individual predisposition and lifestyles, also modulate the development of cardiotoxicity (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Currently, the evaluation of cardiovascular function is mostly based on echocardiography and the analysis of serum biomarkers such as Troponin or the N-terminal pro b-type natriuretic peptide (NT-proBNP) (<xref ref-type="bibr" rid="B10">10</xref>). Myocardial function is easily assessed using echocardiography. Particularly useful for the quantification of the myocardial function are the left ventricular ejection fraction (LVEF) and the Global Longitudinal Strain (GLS) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>) an echocardiographic measure of myocardial deformation that is more sensitive than LVEF in the detection of subclinical dysfunction or asymptomatic CTRCD (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>)<sup>3</sup>. Current guidelines establish a cardiotoxicity risk stratification by measuring of LVEF and GLS, and assessing their decline from baseline.</p>
<p>Follow-up recommendations for pediatric cancer survivors have been recently published by the American Society of Echocardiography (<xref ref-type="bibr" rid="B16">16</xref>). According to these guidelines, an LVEF greater than 55% is considered within normal limits, whereas an LVEF below 50% and/or a GLS above &#x2013;16% (less negative) is classified as abnormal.</p>
<p>This study aimed to perform a comprehensive cardiovascular evaluation in children with cancer at different stages of their disease from diagnosis to the end of treatment.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design and population</title>
<p>A descriptive, single-center, cross-sectional study was conducted at a tertiary, referral, pediatric cancer center in Spain. The study enrolled all consecutive children (&lt; 18 years old) with a diagnosis of cancer who underwent cardiovascular assessment at the cardio-oncology unit between September 2020 and March 2023. Only children with a diagnosis of onco-hematological disease requiring chemotherapy were included in the study.</p>
<p>Patients were included at different disease stages and assessed at a single point in time without follow-up. Thus, five different cohorts were defined according to their stage of treatment (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>): i) <italic>Baseline</italic>: before the initiation of chemotherapy<italic>; ii) Early treatment</italic>: 3 months after initiation of treatment; iii) <italic>Late treatment</italic>: 6 months after the initiation of treatment; iv) <italic>End-of-treatment</italic>: 2 months after the end of treatment; <italic>v) Relapse:</italic> assessment at the time of relapse before the initiation of new onco-hematological treatment.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Cross-sectional study with a sample of 265 patients recruited from September 2020 to March 2022. Patients were divided into 5 groups according to chemotherapeutic treatment phase. <bold>(B)</bold> Cardiotoxicity risk classification in each treatment phase (Ventricular dysfunction due to cardiotoxicity- Subclinical damage- High risk healthy- Low risk healthy).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1623081-g001.tif">
<alt-text content-type="machine-generated">Diagram outlining a five-group study from September 2020 to March 2022 with a total of 265 participants. Groups include Baseline, Early Treatment, Late Treatment, End of Treatment, and Relapse, indicating stages of medication and monitoring. A bar graph titled &#x201c;Cardiotoxicity Risk Stratification&#x201d; shows varying risk levels across these groups, with green for low-risk healthy, yellow for high-risk healthy, orange for subclinical damage, and red for CTRCD.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2">
<title>Study variables</title>
<p>A complete medical history and physical examination were performed, including the determination of body mass index (BMI) and blood pressure (BP) with respective Z score values. Overweight was defined as BMI &#x2265; 2 standard deviations (SD) and underweight as BMI &lt; 2 SD. Systolic hypertension was defined as systolic blood pressure (SBP) &#x2265; 2 SD and diastolic hypertension as diastolic blood pressure (DBP) &#x2265;2 SD. Data regarding chemo- and radiotherapy were collected. Patients receiving anthracycline doses greater than &gt;249 mg/m2 and/or chest radiotherapy over15Gy were further classified as High-Risk.</p>
<p>In addition, the following complementary tests were performed: 12-lead electrocardiogram (ECG), a functional echocardiography and, serum biomarkers. ECG included the measurement of the following parameters: heart rate (HR), PR interval (ms), QRS complex (ms), and QT interval corrected according to the Fridericia and Bazett (B) formula. Long QT was defined as a QTc (B) &#x2265; 450 ms. Repolarization disturbance was defined as flattening or inversion of the T wave in the left anterior precordial leads (II, III, aVF, V5, V6) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(1A)</bold> 16 years old, baseline ECG with sinus rhythm at 73 bpm, QTc(B) 441 ms, QTc(F) 427 ms without repolarization disturbance. <bold>(1B)</bold> 16 years old, ECG under chemotherapy with sinus rhythm at 118 bpm, QTc(B) 448 ms, QTc(F) 400 ms with repolarization alteration and negative T waves in II, III, aVF, V5,V6. <bold>(2A)</bold> 12 years, baseline ECG with sinus rhythm at 66 bpm, QTc(B) 377 ms, QTc(F) 371 ms, without repolarization alteration. <bold>(2B)</bold> 12 years, ECG under chemotherapy with sinus rhythm at 136 bpm, with QT segment lengthening and asymmetric T-wave rise with QTc(B) 481 ms, QTc(F) 420 ms, without repolarization changes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1623081-g002.tif">
<alt-text content-type="machine-generated">1A: 16 years old, baseline ECG with sinus rhythm at 73 bpm, QTc(B) 441 ms, without repolarization disturbance. 1B: 16 years old, ECG under chemotherapy with sinus rhythm at 118 bpm, QTc(B) 448 ms, with repolarization alteration and negative T waves in II, III, aVF, V5,V6. 2A: 12 years, baseline ECG with sinus rhythm at 66 bpm, QTc(B) 377 ms,  without repolarization alteration. 2B: 12 years, ECG under chemotherapy with sinus rhythm at 136 bpm, with QT segment lengthening and asymmetric T-wave rise with QTc(B) 481 ms, without repolarization changes.</alt-text>
</graphic>
</fig>
<p>All patients underwent a comprehensive echocardiographic study including both morphological and, functional assessment. Images were acquired and further analyzed following the institutional echocardiographic study protocol. Speckle Tracking Echocardiography (STE) method was used to measure Global Longitudinal Strain (GLS) in all study patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 1</bold>
</xref>). In addition, all patients had a baseline echocardiography performed prior to the initiation of treatment, with LVEF measured at that time. This baseline value was used to determine whether a &gt;10% drop in LVEF had occurred. Troponin I and NT-proBNP levels were measured in all study patients. Both biomarkers were analyzed using a chemiluminescent microparticle immunoassay (CMIA) on the Alinity analyzer platform (Abbott Laboratories, Abbott Park, IL, USA). Using the aforementioned Cardioongology guidelines, with the caveat of not having baseline measurements of the cardiac function, four different groups of cardiovascular function were defined for this study (<xref ref-type="bibr" rid="B16">16</xref>). (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>): Group A (<italic>CTRCD</italic>): LVEF &lt;55%, Group B (<italic>subclinical damage)</italic>: LVEF &gt;55% and/or positive Troponin I, Group C (<italic>high-risk healthy)</italic>: LVEF &gt;55% and negative Troponin I, Group D (<italic>low-risk</italic> healthy<italic>)</italic>: LVEF &gt;55% and negative Troponin I.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>Statistical analysis of the data was performed with SPSS 28.0 for Windows. Normality was tested according to the Kolmogorov-Smirnov and Shapiro-Wilk criteria. Differences between groups were analyzed for statistical significance using one-way ANOVA followed by <italic>post-hoc</italic> Tukey test for all pairwise comparisons. To perform hypothesis testing on qualitative categorical variables, the &#x3c7;2 test was used. In all analyses, a p-value &lt;0.05 was considered statistically significant.</p>
</sec>
<sec id="s2_4">
<title>Ethical aspects</title>
<p>Informed consent was obtained from patients/legal guardians before their inclusion in the study. The project developed according to the Declaration of Helsinki in its latest revision of 2013 and under the guidelines of the Law 14/2007 on Biomedical Research. Furthermore, the study was approved by the Sant Joan de D&#xe9;u Foundation Research Ethics Committee and the processing, communication, and transferring of personal data of all participants complies with current legislation (European Regulation EU2016/679 and Organic Law3/2018 of 5 December on the Protection of Personal Data): PIC-227-19; PIC-88-24.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinical and laboratory variables</title>
<p>Two hundred sixty-five patients were analyzed, of whom 156 (58.8%) were male. Their mean age at enrollment was 9.95 &#xb1; 5.26 years. There were no significant differences in BMI across groups, with 4.5% (12/265) of patients classified as overweight and 4.9% (13/265) as underweight. The overall incidence of systolic hypertension was 17/265 (6.41%).</p>
<p>The most common diagnoses included: leukemia: 110 (41.5%), lymphoma: 53(20%), bone sarcomas: 39 (15%), kidney tumors 15 (5.5%) and CNS tumors: 13 (5%) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Only 5/265 (1.9%) patients received cardiovascular medications such as ACE inhibitors or beta-blockers, and 4/265 (1.5%) dexrazoxane for cardioprotection. Patients were allocated to the five different groups as follows: baseline, 52/265 (19.6%); early treatment, 38/265 (14.3%); late treatment, 53/265 (20%); end-of-treatment, 81/265 (30.6%); relapse, 41/265 (15.5%).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The cohort&#x2019;s tumor distribution.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">
</th>
<th valign="middle" align="right">Total=265</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Leukemias</td>
<td valign="middle" align="right">
<bold>110 (41.5%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;I ALL</td>
<td valign="middle" align="right">1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;B ALL</td>
<td valign="middle" align="right">85</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T ALL</td>
<td valign="middle" align="right">11</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;AML</td>
<td valign="middle" align="right">13</td>
</tr>
<tr>
<td valign="middle" align="left">Lymphoma</td>
<td valign="middle" align="right">
<bold>53 (20%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Burkitt lymphoma</td>
<td valign="middle" align="right">11</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hodgkin lymphoma</td>
<td valign="middle" align="right">38</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-Hodgkin lymphoma</td>
<td valign="middle" align="right">4</td>
</tr>
<tr>
<td valign="middle" align="left">Bone sarcoma</td>
<td valign="middle" align="right">
<bold>39 (15%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Ewing sarcoma</td>
<td valign="middle" align="right">24</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Osteosarcoma</td>
<td valign="middle" align="right">15</td>
</tr>
<tr>
<td valign="middle" align="left">Kidney tumor</td>
<td valign="middle" align="right">
<bold>15(5.5%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Kidney tumor</td>
<td valign="middle" align="right">3</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Wilms tumor</td>
<td valign="middle" align="right">12</td>
</tr>
<tr>
<td valign="middle" align="left">CNS Tumor</td>
<td valign="middle" align="right">
<bold>13(5%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Astrocitoma</td>
<td valign="middle" align="right">2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ATRT</td>
<td valign="middle" align="right">2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Glioma</td>
<td valign="middle" align="right">4</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Meduloblastoma</td>
<td valign="middle" align="right">4</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Craniofaringioma</td>
<td valign="middle" align="right">1</td>
</tr>
<tr>
<td valign="middle" align="left">Soft tissue sarcoma</td>
<td valign="middle" align="right">
<bold>7(2.5%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Soft tissue sarcoma</td>
<td valign="middle" align="right">7</td>
</tr>
<tr>
<td valign="middle" align="left">Germ-cell tumor</td>
<td valign="middle" align="right">
<bold>6(2.3%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Germ-cell tumor</td>
<td valign="middle" align="right">6</td>
</tr>
<tr>
<td valign="middle" align="left">Hepatoblastoma</td>
<td valign="middle" align="right">
<bold>4(1.5%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hepatoblastoma</td>
<td valign="middle" align="right">4</td>
</tr>
<tr>
<td valign="middle" align="left">Other</td>
<td valign="middle" align="right">
<bold>18(6.8%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Neuroblastoma</td>
<td valign="middle" align="right">10</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Carcinoma</td>
<td valign="middle" align="right">2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;MPNST</td>
<td valign="middle" align="right">2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Coriocarcinoma</td>
<td valign="middle" align="right">1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lung Blastoma</td>
<td valign="middle" align="right">1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Peritoneal mesothelioma</td>
<td valign="middle" align="right">1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Retinoblastoma</td>
<td valign="middle" align="right">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ALL, Acute lymphoblastic Leukemia; B, B-lymphocyte; T, T-lymphocyte; AML, Acute myeloid leukemia; ATRT, Atypical teratoid rhabdoid tumor; MPNST, Malignant Peripheral Nerve Sheath Tumors.</p>
</fn>
<fn>
<p>The bold highlights the main diagnoses.</p>
</fn> </table-wrap-foot>
</table-wrap>
<p>The cumulative anthracyclines doses and radiotherapy exposure at the end-of-treatment of each of the study groups is detailed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Analysis of anthropometric variables in the different groups according to the treatment phase.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Baseline n=52</th>
<th valign="middle" align="center">Early treatment n=38</th>
<th valign="middle" align="center">Late treatment n=53</th>
<th valign="middle" align="center">End of treatment n=81</th>
<th valign="middle" align="center">Relapse n=41</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="center">8.08 &#xb1; 5.45</td>
<td valign="middle" align="center">8.68 &#xb1; 5.24</td>
<td valign="middle" align="center">8.83 &#xb1; 5.08</td>
<td valign="middle" align="center">12.64 &#xb1; 4.46</td>
<td valign="middle" align="center">9.62 &#xb1; 4.88</td>
<td valign="middle" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Sex (M/F)</td>
<td valign="middle" align="center">31/21 (59.6/40.4%)</td>
<td valign="middle" align="center">15/23 (39.5/60.5%)</td>
<td valign="middle" align="center">35/18 (66/34%)</td>
<td valign="middle" align="center">48/33 (59.3/40.7%)</td>
<td valign="middle" align="center">27/14 (65.9/34.1%)</td>
<td valign="middle" align="center">0.096</td>
</tr>
<tr>
<td valign="middle" align="left">Weight (Z)</td>
<td valign="middle" align="center">0.31 &#xb1; 1.21</td>
<td valign="middle" align="center">-0.08 &#xb1; 1.15</td>
<td valign="middle" align="center">-0.05 &#xb1; 1.13</td>
<td valign="middle" align="center">0.19 &#xb1; 1.04</td>
<td valign="middle" align="center">-0.29 &#xb1; 1.21</td>
<td valign="middle" align="center">0.086</td>
</tr>
<tr>
<td valign="middle" align="left">Height (Z)</td>
<td valign="middle" align="center">0.6 &#xb1; 1,15</td>
<td valign="middle" align="center">0.01 &#xb1; 1.13</td>
<td valign="middle" align="center">0.32 &#xb1; 1.32</td>
<td valign="middle" align="center">-0.18 &#xb1; 1.11</td>
<td valign="middle" align="center">-0.46 &#xb1; 1.23</td>
<td valign="middle" align="center">
<bold>0.007</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">BMI (Z)</td>
<td valign="middle" align="center">0.23 &#xb1; 1.28</td>
<td valign="middle" align="center">-0.07 &#xb1; 1.29</td>
<td valign="middle" align="center">-0.19 &#xb1; 1.33</td>
<td valign="middle" align="center">0.30 &#xb1; 1.04</td>
<td valign="middle" align="center">0.02 &#xb1; 1.15</td>
<td valign="middle" align="center">0.132</td>
</tr>
<tr>
<td valign="middle" align="left">Overweight (BMI Z&#x2265;2SD)</td>
<td valign="middle" align="center">5/52 (9.6%)</td>
<td valign="middle" align="center">2/38 (5.3%)</td>
<td valign="middle" align="center">2/53 (3.8%)</td>
<td valign="middle" align="center">3/81 (3.7%)</td>
<td valign="middle" align="center">0/41 (0%)</td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">Underweight (BMI Z &lt;-2SD)</td>
<td valign="middle" align="center">1/52 (1.9%)</td>
<td valign="middle" align="center">1/38 (2.6%)</td>
<td valign="middle" align="center">6/53 (11.3%)</td>
<td valign="middle" align="center">1/81 (1.2%)</td>
<td valign="middle" align="center">4/41 (9.8%)</td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">SBP (Z)</td>
<td valign="middle" align="center">0.76 &#xb1; 1.15</td>
<td valign="middle" align="center">0.47 &#xb1; 1.16</td>
<td valign="middle" align="center">0.26 &#xb1; 1.04</td>
<td valign="middle" align="center">-0.02 &#xb1; 0.91</td>
<td valign="middle" align="center">-0.17 &#xb1; 1.09</td>
<td valign="middle" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">DBP (Z)</td>
<td valign="middle" align="center">1.55 &#xb1; 0.95</td>
<td valign="middle" align="center">1.63 &#xb1; 0.95</td>
<td valign="middle" align="center">1.38&#xb1; 0.99</td>
<td valign="middle" align="center">1.10 &#xb1; 0.95</td>
<td valign="middle" align="center">1.17 &#xb1; 1.00</td>
<td valign="middle" align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">SBP (Z&#x2265;2SD)</td>
<td valign="middle" align="center">6/51 (11.8%)</td>
<td valign="middle" align="center">4/38 (10.5%)</td>
<td valign="middle" align="center">3/51 (5.9%)</td>
<td valign="middle" align="center">1/77 (1.3%)</td>
<td valign="middle" align="center">3/40 (7.5%)</td>
<td valign="middle" align="center">0.150</td>
</tr>
<tr>
<td valign="middle" align="left">DBP (Z&#x2265;2SD)</td>
<td valign="middle" align="center">17/51 (34%)</td>
<td valign="middle" align="center">13/38 (34.2%)</td>
<td valign="middle" align="center">17/51 (33.3%)</td>
<td valign="middle" align="center">11/77 (14.3%)</td>
<td valign="middle" align="center">12/40 (30%)</td>
<td valign="middle" align="center">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Troponin (ng/L)</td>
<td valign="middle" align="center">0.003 &#xb1; 0.005</td>
<td valign="middle" align="center">0.012 &#xb1; 0.014</td>
<td valign="middle" align="center">0.006 &#xb1; 0.008</td>
<td valign="middle" align="center">0.003 &#xb1; 0.005</td>
<td valign="middle" align="center">0.002 &#xb1; 0.005</td>
<td valign="middle" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Troponin (&gt;0.020 ng/ml)</td>
<td valign="middle" align="center">1/47 (2.1%)</td>
<td valign="middle" align="center">5/24 (20.8%)</td>
<td valign="middle" align="center">5/44 (11.4%)</td>
<td valign="middle" align="center">3/68 (4.4%)</td>
<td valign="middle" align="center">1/27 (3.7%)</td>
<td valign="middle" align="center">
<bold>0.027</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">proBNP</td>
<td valign="middle" align="center">337.31 &#xb1; 591.85</td>
<td valign="middle" align="center">104.13 &#xb1; 73.01</td>
<td valign="middle" align="center">226.02 &#xb1; 748.17</td>
<td valign="middle" align="center">70 &#xb1; 51.80</td>
<td valign="middle" align="center">166.76 &#xb1; 226.23</td>
<td valign="middle" align="center">
<bold>0.030</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Urea(mg/dL)</td>
<td valign="middle" align="center">20.17 &#xb1; 0.99</td>
<td valign="middle" align="center">19.92 &#xb1; 0.14</td>
<td valign="middle" align="center">26.20 &#xb1; 0.25</td>
<td valign="middle" align="center">28.05 &#xb1; 0.12</td>
<td valign="middle" align="center">22.48 &#xb1; 0.12</td>
<td valign="middle" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Creatinine (mg/dL)</td>
<td valign="middle" align="center">0.45 &#xb1; 0.022</td>
<td valign="middle" align="center">0.47 &#xb1; 0.016</td>
<td valign="middle" align="center">0.49 &#xb1; 0.026</td>
<td valign="middle" align="center">0.61 &#xb1; 0.023</td>
<td valign="middle" align="center">0.51 &#xb1; 0.023</td>
<td valign="middle" align="center">0.084</td>
</tr>
<tr>
<td valign="middle" align="left">AST (UI/L)</td>
<td valign="middle" align="center">53.69 &#xb1; 75.56</td>
<td valign="middle" align="center">45.08 &#xb1; 78.82</td>
<td valign="middle" align="center">32.94 &#xb1; 22.19</td>
<td valign="middle" align="center">27.39 &#xb1; 14.28</td>
<td valign="middle" align="center">37.28 &#xb1; 24.32</td>
<td valign="middle" align="center">0.070</td>
</tr>
<tr>
<td valign="middle" align="left">ALT (UI/L)</td>
<td valign="middle" align="center">72.38 &#xb1; 135.69</td>
<td valign="middle" align="center">75.89 &#xb1; 143.61</td>
<td valign="middle" align="center">55.35 &#xb1; 70.11</td>
<td valign="middle" align="center">40.72 &#xb1; 71.38</td>
<td valign="middle" align="center">39.20 &#xb1; 32.11</td>
<td valign="middle" align="center">0.254</td>
</tr>
<tr>
<td valign="middle" align="left">Anthracycline (&gt;249 mg/m2) *</td>
<td valign="middle" align="center">28/52 (53.8%)</td>
<td valign="middle" align="center">21/38 (55.3%)</td>
<td valign="middle" align="center">31/53 (58.5%)</td>
<td valign="middle" align="center">25/81 (30.9%)</td>
<td valign="middle" align="center">18/41 (43.9%)</td>
<td valign="middle" align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Chest Radiotherapy (&gt;15 Gy)*</td>
<td valign="middle" align="center">9/52 (17.3%)</td>
<td valign="middle" align="center">11/38 (28.9%)</td>
<td valign="middle" align="center">16/53 (30.2%)</td>
<td valign="middle" align="center">21/81 (25.9%)</td>
<td valign="middle" align="center">17/41 (41.5%)</td>
<td valign="middle" align="center">0.153</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body mass index; SBP, Systolic blood pressure; DBP, Diastolic blood pressure; AST, aspartate aminotransferase; ALT, Alanine aminotransferase; SD, standard deviation; Z, Z-score, p value &lt;0.05 statistically significant, <bold>*</bold>The cumulative anthracyclines doses and radiotherapy exposure at the end-of-treatment of each of the study groups.</p>
</fn>
<fn>
<p>The bold highlights the statistical significance.</p>
</fn> </table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Serum biomarkers</title>
<p>Troponin I: Elevated levels were observed in 7.1% of patients, with the highest values in the early treatment group (0.012 &#xb1; 0.014 ng/ml; p &lt; 0.001). The percentage of patients with high troponin levels was significantly higher in the early and late groups compared to the end-of-treatment group (20.8 <italic>vs</italic> 11.4 <italic>vs</italic> 4.4%; p=0.027).</p>
<p>NT-proBNP: The highest values were found in the baseline group, while the lowest levels seen in those of the end-of-treatment group (337.31 &#xb1; 591.85 <italic>vs</italic> 70 &#xb1; 51.80 ng/L; p=0.030).</p>
</sec>
<sec id="s3_3">
<title>Electrocardiographic variables</title>
<p>Electrocardiographic abnormalities were identified in 16.2% of patients. Prolonged QTc (QTc &gt; 450 ms) was observed in 12.4% (33/265) of patients (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Compared to the baseline group, a significantly higher proportion of patients in the early and late treatment groups had prolonged QTc (0% <italic>vs</italic>. 21.1% <italic>vs</italic>. 15.1%; p = 0.007). Patients in the early and late groups had significantly longer QTc intervals than those in the baseline group, regardless of whether Bazett&#x2019;s (417.08 &#xb1; 36.51; 420.08 &#xb1; 27.45 <italic>vs</italic>. 392.78 &#xb1; 29.62 ms; p = 0.001) or Fridericia&#x2019;s correction was applied (389.05 &#xb1; 29.93; 393.86 &#xb1; 24.59 <italic>vs</italic>. 377.51 &#xb1; 27.22 ms; p = 0.034). Repolarization abnormalities were present in 8.7% (23/265) of patients, defined by flat or negative T waves in left precordial leads. Compared to baseline, both early and late treatment groups had a significantly higher proportion of patients with repolarization abnormalities (3.8% <italic>vs</italic>. 13.2% <italic>vs</italic>. 18.9%; p = 0.007). Although statistically significant differences were found in PR interval and QRS duration between groups, all values remained within normal limits.33/265 (12.4%).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Analysis of electrocardiographic variables in the different study groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">n= 265</th>
<th valign="middle" align="center">Baseline <break/>n= 52</th>
<th valign="middle" align="center">Early treatment <break/>n= 38</th>
<th valign="middle" align="center">Late treatment <break/>n= 53</th>
<th valign="middle" align="center">End of treatment <break/>n= 81</th>
<th valign="middle" align="center">Relapse <break/>n= 41</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">HR (bpm)</td>
<td valign="middle" align="center">93.04 &#xb1; 31.59</td>
<td valign="middle" align="center">99.60 &#xb1; 26.73</td>
<td valign="middle" align="center">92.08 &#xb1; 20.06</td>
<td valign="middle" align="center">75.32 &#xb1; 16.61</td>
<td valign="middle" align="center">88.68 &#xb1; 17.72</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">PR (ms)</td>
<td valign="middle" align="center">124.08 &#xb1; 20.10</td>
<td valign="middle" align="center">117.94 &#xb1; 17.37</td>
<td valign="middle" align="center">125.36 &#xb1; 16.44</td>
<td valign="middle" align="center">131.28 &#xb1; 17.50</td>
<td valign="middle" align="center">126.79 &#xb1; 18.66</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" align="left">QRS (ms)</td>
<td valign="middle" align="center">82.37 &#xb1; 16.32</td>
<td valign="middle" align="center">80.91 &#xb1; 11.21</td>
<td valign="middle" align="center">82.64 &#xb1; 11.76</td>
<td valign="middle" align="center">88.49 &#xb1; 10.79</td>
<td valign="middle" align="center">82.84 &#xb1; 13.95</td>
<td valign="middle" align="center">0.009</td>
</tr>
<tr>
<td valign="middle" align="left">QTc<sup>B</sup> (ms)</td>
<td valign="middle" align="center">392.78&#xb1; 29.62</td>
<td valign="middle" align="center">417.08 &#xb1; 36.51</td>
<td valign="middle" align="center">420.08 &#xb1; 27.45</td>
<td valign="middle" align="center">404.89 &#xb1; 33.99</td>
<td valign="middle" align="center">407.50 &#xb1; 40.73</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">QTc<sup>F</sup>(ms)</td>
<td valign="middle" align="center">377.51&#xb1; 27.22</td>
<td valign="middle" align="center">389.05 &#xb1; 29.93</td>
<td valign="middle" align="center">393.86 &#xb1; 24.59</td>
<td valign="middle" align="center">380.61 &#xb1; 33.25</td>
<td valign="middle" align="center">378.36 &#xb1; 39.21</td>
<td valign="middle" align="center">0.034</td>
</tr>
<tr>
<td valign="middle" align="left">QTc<sup>B</sup> &gt;450ms</td>
<td valign="middle" align="center">0/52 (0%)</td>
<td valign="middle" align="center">8/38(21%)</td>
<td valign="middle" align="center">8/53 (15%)</td>
<td valign="middle" align="center">12/81 (15%)</td>
<td valign="middle" align="center">5/41 (12%)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<td valign="middle" align="left">Rep abn</td>
<td valign="middle" align="center">2/52 (4%)</td>
<td valign="middle" align="center">5/38 (13%)</td>
<td valign="middle" align="center">10/53 (19%)</td>
<td valign="middle" align="center">2/81 (2.5%)</td>
<td valign="middle" align="center">4/41 (10%)</td>
<td valign="middle" align="center">0.007</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, Heart rate; QTc<sup>B</sup>, QTc Bazett; QTc<sup>F</sup>, QTc Fridericia; Rep abn, repolarization abnormalities, <italic>p</italic> value &lt;0.05 statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Echocardiographic variables</title>
<sec id="s3_4_1">
<title>Left ventricular systolic function</title>
<p>The overall incidence of CTRCD was 2.3%. Patients in late treatment group had a lower LVEF compared to the baseline group (66.30 &#xb1; 5.60 <italic>vs</italic> 69.43 &#xb1; 5.74%; p=0.025); 16.5% presented a &gt;10% drop in LVEF from baseline, but no significant differences were found between groups (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). In 34.7% of cases, GLS was &#x2264;18%. Although the early and late groups had a higher proportion of patients with reduced GLS than the baseline group, these differences were not statistically significant. LV dilatation was observed in 6.8%, with the largest dimensions found in the baseline and late groups compared to the end-of-treatment group (Z-score: 0.39 &#xb1; 1.55 <italic>vs</italic>. 0.00 &#xb1; 1.37 <italic>vs</italic>. -0.87 &#xb1; 1.42; p = 0.022).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Analysis of echocardiographic variables in the different study groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">n= 265</th>
<th valign="middle" align="center">Baseline</th>
<th valign="middle" align="center">Early treatmet</th>
<th valign="middle" align="center">Late treatmet</th>
<th valign="middle" align="center">End of treatmet</th>
<th valign="middle" align="center">Relapse</th>
<th valign="middle" rowspan="2" align="center">P</th>
</tr>
<tr>
<th valign="middle" align="center">n= 52</th>
<th valign="middle" align="center">n= 38</th>
<th valign="middle" align="center">n= 53</th>
<th valign="middle" align="center">n= 81</th>
<th valign="middle" align="center">n= 41</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Left ventricle: systolic function</th>
</tr>
<tr>
<td valign="middle" align="left">LVEDD (Z)</td>
<td valign="middle" align="center">-0.39 &#xb1; 1.55</td>
<td valign="middle" align="center">-0.29 &#xb1; 1.71</td>
<td valign="middle" align="center">0.00 &#xb1; 1.37</td>
<td valign="middle" align="center">-0.87 &#xb1; 1.42</td>
<td valign="middle" align="center">-0.46 &#xb1; 1.52</td>
<td valign="middle" align="center">0.022</td>
</tr>
<tr>
<td valign="middle" align="left">IVSd (Z)</td>
<td valign="middle" align="center">-0.41 &#xb1; 1.34</td>
<td valign="middle" align="center">-0.54 &#xb1; 1.85</td>
<td valign="middle" align="center">-0.45 &#xb1; 1.83</td>
<td valign="middle" align="center">-0.27 &#xb1; 1.08</td>
<td valign="middle" align="center">-0.19 &#xb1; 1.12</td>
<td valign="middle" align="center">0.781</td>
</tr>
<tr>
<td valign="middle" align="left">LVPWd (Z)</td>
<td valign="middle" align="center">-0.44 &#xb1; 1.09</td>
<td valign="middle" align="center">-0.49 &#xb1; 1.46</td>
<td valign="middle" align="center">-0.89 &#xb1; 1.48</td>
<td valign="middle" align="center">-0.85 &#xb1; 1.33</td>
<td valign="middle" align="center">-0.45 &#xb1; 1.22</td>
<td valign="middle" align="center">0.181</td>
</tr>
<tr>
<td valign="middle" align="left">SF (%)</td>
<td valign="middle" align="center">41.65 &#xb1; 5.99</td>
<td valign="middle" align="center">38.56 &#xb1; 4.37</td>
<td valign="middle" align="center">38.16 &#xb1; 4.28</td>
<td valign="middle" align="center">39.38 &#xb1; 5.43</td>
<td valign="middle" align="center">38.10 &#xb1; 5.98</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">EF (%)</td>
<td valign="middle" align="center">72.79 &#xb1; 6.90</td>
<td valign="middle" align="center">69.35 &#xb1; 5.17</td>
<td valign="middle" align="center">68.57 &#xb1; 5.53</td>
<td valign="middle" align="center">69.99 &#xb1; 6.66</td>
<td valign="middle" align="center">68.25 &#xb1; 7.85</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">LVEF S (%)</td>
<td valign="middle" align="center">69.43 &#xb1; 5.74</td>
<td valign="middle" align="center">69.54 &#xb1; 5.39</td>
<td valign="middle" align="center">66.30 &#xb1; 5.60</td>
<td valign="middle" align="center">67.22 &#xb1; 5.78</td>
<td valign="middle" align="center">67.53 &#xb1; 7.21</td>
<td valign="middle" align="center">0.025</td>
</tr>
<tr>
<td valign="middle" align="left">LVEF S&lt;55%</td>
<td valign="middle" align="center">1/51 (1.9%)</td>
<td valign="middle" align="center">1/38 (2.7%)</td>
<td valign="middle" align="center">1/53 (1.9%)</td>
<td valign="middle" align="center">0/81 (0%)</td>
<td valign="middle" align="center">3/41 (7.3%)</td>
<td valign="middle" align="center">0.155</td>
</tr>
<tr>
<td valign="middle" align="left">&#x394;LVEF (%)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">-0.70 &#xb1; 10.99</td>
<td valign="middle" align="center">-3.64 &#xb1; 8.52</td>
<td valign="middle" align="center">-3.44 &#xb1; 15.56</td>
<td valign="middle" align="center">-4.82 &#xb1; 9.32</td>
<td valign="middle" align="center">0.593</td>
</tr>
<tr>
<td valign="middle" align="left">&#x394;LVEF &gt;10%</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">6/33 (18.2%)</td>
<td valign="middle" align="center">9/43 (20.9%)</td>
<td valign="middle" align="center">21/71 (29.6%)</td>
<td valign="middle" align="center">8/28 (28.6%)</td>
<td valign="middle" align="center">0.582</td>
</tr>
<tr>
<td valign="middle" align="left">CO (ml/m2)</td>
<td valign="middle" align="center">2.85 &#xb1; 1.37</td>
<td valign="middle" align="center">2.91 &#xb1; 1.48</td>
<td valign="middle" align="center">2.98 &#xb1; 1.40</td>
<td valign="middle" align="center">2.59 &#xb1; 1.12</td>
<td valign="middle" align="center">2.63 &#xb1; 1.50</td>
<td valign="middle" align="center">0.456</td>
</tr>
<tr>
<td valign="middle" align="left">MAPSE (mm)</td>
<td valign="middle" align="center">13.72 &#xb1; 3.47</td>
<td valign="middle" align="center">12.73 &#xb1; 3.12</td>
<td valign="middle" align="center">13.5 &#xb1; 3.48</td>
<td valign="middle" align="center">14.36 &#xb1; 3.55</td>
<td valign="middle" align="center">12.36 &#xb1; 2.97</td>
<td valign="middle" align="center">0.026</td>
</tr>
<tr>
<td valign="middle" align="left">SAPSE (mm)</td>
<td valign="middle" align="center">13.24 &#xb1; 3.89</td>
<td valign="middle" align="center">12.24 &#xb1; 2.87</td>
<td valign="middle" align="center">12.94 &#xb1; 2.97</td>
<td valign="middle" align="center">14.47 &#xb1; 3.18</td>
<td valign="middle" align="center">13.20 &#xb1; 3.49</td>
<td valign="middle" align="center">0.010</td>
</tr>
<tr>
<td valign="middle" align="left">S&#x2019;lat TDI</td>
<td valign="middle" align="center">7.73 &#xb1; 1.86</td>
<td valign="middle" align="center">8.25 &#xb1; 2.08</td>
<td valign="middle" align="center">7.71 &#xb1; 1.94</td>
<td valign="middle" align="center">8.61 &#xb1; 2.12</td>
<td valign="middle" align="center">7.84 &#xb1; 3.03</td>
<td valign="middle" align="center">0.096</td>
</tr>
<tr>
<td valign="middle" align="left">S&#x2019;med</td>
<td valign="middle" align="center">6.94 &#xb1; 1.64</td>
<td valign="middle" align="center">7.12 &#xb1; 1.41</td>
<td valign="middle" align="center">6.64 &#xb1; 1.15</td>
<td valign="middle" align="center">6.87 &#xb1; 1.22</td>
<td valign="middle" align="center">6.53 &#xb1; 1.51</td>
<td valign="middle" align="center">0.311</td>
</tr>
<tr>
<td valign="middle" align="left">GLS (%)</td>
<td valign="middle" align="center">-21.81 &#xb1; 2.97</td>
<td valign="middle" align="center">-20.06 &#xb1; 9.73</td>
<td valign="middle" align="center">-19.31 &#xb1; 7.34</td>
<td valign="middle" align="center">-20.97 &#xb1; 2.61</td>
<td valign="middle" align="center">-20.39 &#xb1; 0.55</td>
<td valign="middle" align="center">0.379</td>
</tr>
<tr>
<td valign="middle" align="left">GLS &#x2264; 18%</td>
<td valign="middle" align="center">9/49 (18.4%)</td>
<td valign="middle" align="center">9/34 (26.5%)</td>
<td valign="middle" align="center">14/51 (27.5%)</td>
<td valign="middle" align="center">18/78 (23.1%)</td>
<td valign="middle" align="center">9/37 (24.3%)</td>
<td valign="middle" align="center">0.855</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Left ventricle: diastolic function</th>
</tr>
<tr>
<td valign="middle" align="left">LA (ml/m2)</td>
<td valign="middle" align="center">13.23 &#xb1; 6.14</td>
<td valign="middle" align="center">11.33 &#xb1; 5.98</td>
<td valign="middle" align="center">13 &#xb1; 5.17</td>
<td valign="middle" align="center">11.65 &#xb1; 4.38</td>
<td valign="middle" align="center">11.14 &#xb1; 6.24</td>
<td valign="middle" align="center">0.182</td>
</tr>
<tr>
<td valign="middle" align="left">LA &gt;16 ml/m2</td>
<td valign="middle" align="center">15/52 (28.9%)</td>
<td valign="middle" align="center">8/38 (21%)</td>
<td valign="middle" align="center">10/53 (18.9%)</td>
<td valign="middle" align="center">11/81 (13.6%)</td>
<td valign="middle" align="center">6/41 (14.6%)</td>
<td valign="middle" align="center">0.243</td>
</tr>
<tr>
<td valign="middle" align="left">E/A ratio MV</td>
<td valign="middle" align="center">2.15 &#xb1; 0.96</td>
<td valign="middle" align="center">1.47 &#xb1; 0.37</td>
<td valign="middle" align="center">1.68 &#xb1; 0.38</td>
<td valign="middle" align="center">2.08 &#xb1; 0.59</td>
<td valign="middle" align="center">1.89 &#xb1; 0.56</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">E/E&#x2019; lat</td>
<td valign="middle" align="center">6.67 &#xb1; 2.40</td>
<td valign="middle" align="center">6.21 &#xb1; 1.98</td>
<td valign="middle" align="center">6.68 &#xb1; 1.93</td>
<td valign="middle" align="center">5.51 &#xb1; 2.00</td>
<td valign="middle" align="center">5.93 &#xb1; 1.79</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">E&#x2019;/A&#x2019; lat</td>
<td valign="middle" align="center">2.54 &#xb1; 1.03</td>
<td valign="middle" align="center">2.38 &#xb1; 0.83</td>
<td valign="middle" align="center">2.41 &#xb1; 0.93</td>
<td valign="middle" align="center">2.88 &#xb1; 1.23</td>
<td valign="middle" align="center">2.56 &#xb1; 0.83</td>
<td valign="middle" align="center">0.058</td>
</tr>
<tr>
<td valign="middle" align="left">E/E&#x2019; med</td>
<td valign="middle" align="center">8.36 &#xb1; 2.87</td>
<td valign="middle" align="center">7.88 &#xb1; 1.82</td>
<td valign="middle" align="center">9.13 &#xb1; 2.29</td>
<td valign="middle" align="center">7.85 &#xb1; 2.25</td>
<td valign="middle" align="center">8.34 &#xb1; 2.25</td>
<td valign="middle" align="center">0.046</td>
</tr>
<tr>
<td valign="middle" align="left">E&#x2019;/A&#x2019; med</td>
<td valign="middle" align="center">2.37 &#xb1; 0.79</td>
<td valign="middle" align="center">1.99 &#xb1; 0.55</td>
<td valign="middle" align="center">1.96 &#xb1; 0.69</td>
<td valign="middle" align="center">2.49 &#xb1; 0.85</td>
<td valign="middle" align="center">2.05 &#xb1; 0.63</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">E/E&#x2019; average</td>
<td valign="middle" align="center">7.55 &#xb1; 2.32</td>
<td valign="middle" align="center">7.01 &#xb1; 1.76</td>
<td valign="middle" align="center">7.91 &#xb1; 1.80</td>
<td valign="middle" align="center">6.72 &#xb1; 2.11</td>
<td valign="middle" align="center">7.14 &#xb1; 1.83</td>
<td valign="middle" align="center">0.015</td>
</tr>
<tr>
<td valign="middle" align="left">E&#x2019;/A&#x2019; average</td>
<td valign="middle" align="center">2.41 &#xb1; 0.83</td>
<td valign="middle" align="center">2.17 &#xb1; 0.59</td>
<td valign="middle" align="center">2.15 &#xb1; 0.73</td>
<td valign="middle" align="center">2.64 &#xb1; 0.84</td>
<td valign="middle" align="center">2.29 &#xb1; 0.60</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">Pulm veins S/D</td>
<td valign="middle" align="center">1.07 &#xb1; 0.26</td>
<td valign="middle" align="center">0.89 &#xb1; 0.21</td>
<td valign="middle" align="center">0.98 &#xb1; 0.29</td>
<td valign="middle" align="center">0.98 &#xb1; 0.31</td>
<td valign="middle" align="center">0.97 &#xb1; 0.21</td>
<td valign="middle" align="center">0.177</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Right ventricle: systolic &amp; diastolic function</th>
</tr>
<tr>
<td valign="middle" align="left">TAPSE (mm)</td>
<td valign="middle" align="center">20.33 &#xb1; 4.14</td>
<td valign="middle" align="center">18.22 &#xb1; 3.15</td>
<td valign="middle" align="center">20.52 &#xb1; 4.62</td>
<td valign="middle" align="center">20.93 &#xb1; 3.94</td>
<td valign="middle" align="center">18.90 &#xb1; 4.15</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">E/A TV</td>
<td valign="middle" align="center">1.71 &#xb1; 0.55</td>
<td valign="middle" align="center">1.41 &#xb1; 0.46</td>
<td valign="middle" align="center">1.40 &#xb1; 0.39</td>
<td valign="middle" align="center">1.84 &#xb1; 1.89</td>
<td valign="middle" align="center">1.33 &#xb1; 0.35</td>
<td valign="middle" align="center">0.064</td>
</tr>
<tr>
<td valign="middle" align="left">S&#x2019; TV</td>
<td valign="middle" align="center">11.39 &#xb1; 2.74</td>
<td valign="middle" align="center">11.05 &#xb1; 2.17</td>
<td valign="middle" align="center">11.79 &#xb1; 2.64</td>
<td valign="middle" align="center">11.99 &#xb1; 2.71</td>
<td valign="middle" align="center">12.33 &#xb1; 3.77</td>
<td valign="middle" align="center">0.302</td>
</tr>
<tr>
<td valign="middle" align="left">E/E&#x2019; TV</td>
<td valign="middle" align="center">4.51 &#xb1; 1.79</td>
<td valign="middle" align="center">5.65 &#xb1; 1.78</td>
<td valign="middle" align="center">4.92 &#xb1; 1.68</td>
<td valign="middle" align="center">4.81 &#xb1; 1.93</td>
<td valign="middle" align="center">5.31 &#xb1; 2.79</td>
<td valign="middle" align="center">0.094</td>
</tr>
<tr>
<td valign="middle" align="left">E&#x2019;/A&#x2019;TV</td>
<td valign="middle" align="center">1.79 &#xb1; 0.91</td>
<td valign="middle" align="center">1.46 &#xb1; 0.73</td>
<td valign="middle" align="center">1.59 &#xb1; 0.61</td>
<td valign="middle" align="center">1.80 &#xb1; 0.88</td>
<td valign="middle" align="center">1.31 &#xb1; 0.43</td>
<td valign="middle" align="center">0.008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LVEDD, Left ventricle end-diastolic diameter; IVSd, interventricular septum diastolic; LVPWd, left ventricular posterior wall diastolic; SF, shortening fraction; EF, Ejection fraction; LVEF S, Left Ventricular Ejection fraction measured by Simpson; &#x394;LVEF, Difference of LVEF from Baseline; CO, Systemic cardiac output (ml/m2); MAPSE, Mitral Annular Plane Systolic Excursion; SAPSE, Septal Annular Plane Systolic Excursion; GLS, global longitudinal strain; MV, mitral valve; TAPSE, Tricuspid Annular Plane Systolic Excursion, LA, Left atrium, TV, tricuspid valve, Pulm veins S/D. p value &lt;0.05 is statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4_2">
<title>Left ventricular diastolic function</title>
<p>In all groups, the E/A ratio was &gt;1. The lowest values were seen in early group and the highest in the baseline group (1.47 &#xb1; 0.37 <italic>vs</italic> 2.15 &#xb1; 0.96 <italic>vs</italic>; p &lt; 0.001). At the end-of-treatment, the E/E&#x2019; ratio (both lateral and medial) was significantly lower than in the late treatment group (E/E&#x2019; lateral: 5.51 &#xb1; 2.00 <italic>vs</italic>. 6.68 &#xb1; 1.93; p = 0.005; E/E&#x2019; medial: 7.85 &#xb1; 2.25 <italic>vs</italic>. 9.13 &#xb1; 2.29; p = 0.046), although all values remained within normal ranges. Left atrial dilatation was uncommon, with only one case detected with an indexed volume &gt; 34 ml/m&#xb2;. The baseline group had a higher proportion of patients with left atrial dilatation than the end-of-treatment group (28.9% <italic>vs</italic>. 13.6%), although this was not statistically significant.</p>
</sec>
<sec id="s3_4_3">
<title>Right ventricular systolic function</title>
<p>Patients in the early group had lower TAPSE values compared to those in the end-of-treatment group (18.22 &#xb1; 3.15 <italic>vs</italic> 20.93 &#xb1; 3.94 mm; p=0.008).</p>
<p>No significant valvar insufficiencies, signs of pulmonary hypertension or pericardial effusion were observed during the echocardiographic assessments.</p>
</sec>
</sec>
<sec id="s3_5">
<title>Risk stratification - incidence of cardiotoxicity</title>
<p>There were statistically significant differences in the distribution of cardiovascular risk categories across treatment groups. A higher proportion of patients in the treatment groups had subclinical damage or high cardiovascular risk compared to the baseline group (33.3% <italic>vs</italic>. 5.7%; p = 0.001) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). When patients were classified solely by LVEF, no significant differences were observed among groups.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Cardiotoxicity risk stratification (guidelines adult/pediatric).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center"/>
<th valign="middle" align="center">Baseline</th>
<th valign="middle" align="center">Early treatment</th>
<th valign="middle" align="center">Late treatment</th>
<th valign="middle" align="center">End of treatment</th>
<th valign="middle" align="center">Relapse</th>
<th valign="middle" rowspan="2" align="center">P</th>
</tr>
<tr>
<th valign="middle" align="center">n=52</th>
<th valign="middle" align="center">n=38</th>
<th valign="middle" align="center">n= 53</th>
<th valign="middle" align="center">n= 81</th>
<th valign="middle" align="center">n= 41</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">CTRCD</td>
<td valign="middle" align="center">1 (1.9%)</td>
<td valign="middle" align="center">1 (2.6%)</td>
<td valign="middle" align="center">1 (1.9%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (7.3%)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Subclinical damage</td>
<td valign="middle" align="center">3 (5.7%)</td>
<td valign="middle" align="center">8 (21.1%)</td>
<td valign="middle" align="center">11 (20.8%)</td>
<td valign="middle" align="center">9 (11.1%)</td>
<td valign="middle" align="center">3 (7.3%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">High-risk healthy</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (5.3%)</td>
<td valign="middle" align="center">7 (13.2%)</td>
<td valign="middle" align="center">18 (22.2%)</td>
<td valign="middle" align="center">5 (12.2%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Low-risk healthy</td>
<td valign="middle" align="center">48 (92.4%)</td>
<td valign="middle" align="center">27 (71.1%)</td>
<td valign="middle" align="center">34 (64.2%)</td>
<td valign="middle" align="center">54 (66.7%)</td>
<td valign="middle" align="center">30(73.2%)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CTRCD, cancer therapy-related cardiac dysfunction. p value &lt;0.05 statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our analysis of a large cohort of pediatric oncology patients demonstrates that cardiovascular risk stratification evolves throughout chemotherapy treatment, with a greater proportion of patients presenting subclinical myocardial damage or high cardiovascular risk during therapy. The overall incidence of CTRCD was 2.3%, but 16.5% experienced a &#x2265;10% decrease in LVEF from their baseline, and 34.7% had abnormal GLS values, indicating subclinical dysfunction. ECG abnormalities were observed in 16.2% of patients, primarily QT prolongation and repolarization disturbances, and 7.1% had elevated troponin levels. Interestingly, patients in the early and late treatment groups showed greater cardiac involvement, as evidenced by echocardiographic and biomarker alterations. These findings reinforce the need for continuous cardiac surveillance throughout treatment to detect early cardiotoxicity and prevent irreversible damage.</p>
<p>The incidence of CTRCD related to cardiotoxicity in adulthood is widely reported in the scientific literature. Cardinale et&#xa0;al., described an incidence of cardiotoxicity of 9% in their studied sample (<xref ref-type="bibr" rid="B14">14</xref>). However, information in children is scarce and there is great variability depending on the population studied and the diagnostic methods used. Bu-Lock et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>), analyzed 125 pediatric patients and reported an incidence of CTRCD of 5% with 19.2% of patients experiencing a significant fall in LVEF. Similarly, Agha et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>), in a study including 40 patients, described 5% of CTRCD with 40% of the patients experiencing decrease in LVEF. However, Kocabas et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>), was not able to identify CTRCD in 72 patients. In our study, despite only 2.3% of patient having CTRCD, 16.5% had subclinical impairment of the myocardial function.</p>
<p>Traditionally, LV systolic function has been assessed using LVEF and FS, though these measures often fail to detect subtle myocardial changes, as chemotherapy-induced damage tends to be regional and asymmetric (<xref ref-type="bibr" rid="B20">20</xref>). More sensitive approaches, such as tissue Doppler imaging (TDI), have been suggested as potential alternatives, particularly for tracking medial S&#x2019; velocity declines during chemotherapy (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Although the late treatment group in our study had worse TDI values than the other groups, these differences were not statistically significant.</p>
<p>Systematic measurement of GLS also allows early identification of systolic function abnormalities and has been correlated with the development of long-term cardiotoxicity (<xref ref-type="bibr" rid="B22">22</xref>). Thavendiranathan et&#xa0;al., demonstrated that the early fall in GLS was more sensitive than LVEF analysis (<xref ref-type="bibr" rid="B21">21</xref>). In this study, a 10-15% decrease in GLS was considered the most useful parameter for predicting long-term cardiovascular disease. However, the SUCCOUR study also questions the usefulness of this parameter, finding no significant difference in patient outcomes when function assessment at follow-up was based on GLS rather than LVEF (<xref ref-type="bibr" rid="B23">23</xref>). In our study, GLS was altered in 34.7% of patients, significantly increasing the sensitivity for the detection of cardiovascular risk groups compared to traditional function assessment parameters. However, without longitudinal follow-up, it remains unclear how these early GLS alterations translate into long-term cardiac dysfunction in children surviving from cancer.</p>
<p>Diastolic dysfunction has been explored as an early marker of cardiotoxicity in several studies. To date, there is no scientific evidence to clarify the diagnostic and/or prognostic value of its assessment. Furthermore, in the pediatric age group, changes in diastolic function seem to occur later and have great variability according to age, making their use difficult (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Right ventricular function assessment in pediatric oncology patients presents similar challenges, as classical indices such as TAPSE and RV fractional area change have limited sensitivity in detecting subtle RV dysfunction (<xref ref-type="bibr" rid="B25">25</xref>). In this study, no significant alterations in RV function or pulmonary hypertension were detected, suggesting that RV involvement may be less prominent in early chemotherapy exposure.</p>
<p>While echocardiographic parameters provide valuable insights, ECG abnormalities have also been reported in pediatric patients undergoing chemotherapy. Previous studies have described conduction disturbances, repolarization abnormalities, and QT prolongation in up to 25% of patients (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In this study, 16.2% of patients had ECG alterations, most commonly QT prolongation and repolarization disturbances, findings that were particularly pronounced in patients undergoing active chemotherapy. These results suggest that ECG monitoring could be useful for tracking transient electrophysiological changes during treatment, though the long-term significance of these findings remains to be determined.</p>
<p>Biomarkers such as troponin and NT-proBNP remain the most widely used markers for detecting chemotherapy-induced myocardial injury, though interest is growing in newer biomarkers such as microRNAs, and proteomics (<xref ref-type="bibr" rid="B27">27</xref>). Troponins, particularly troponin I and troponin T, are the gold standard for detecting myocardial necrosis. In this study, troponin elevations were found in 7.1% of patients, with the highest values observed in those currently undergoing treatment, reinforcing its role as a potential early indicator of myocardial damage (<xref ref-type="bibr" rid="B28">28</xref>). NT-proBNP, a well-established marker in heart failure, has also been associated with chemotherapy-induced cardiotoxicity, with levels above 100 ng/L linked to an increased risk of cardiac events (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). In pediatric patients, elevated NT-proBNP levels have been correlated with CTRCD compared to healthy controls (<xref ref-type="bibr" rid="B31">31</xref>). Interestingly, in our study, the highest values of NT-proBNP were found in the baseline group, while the lowest levels found in those of the end-of-treatment group suggesting than other factors, such as, inflammation, fluid management, might play a role.</p>
<p>The International Late Effects of Childhood Cancer Guideline Harmonization Group has developed evidence-based recommendations for long-term cardiovascular monitoring in childhood cancer survivors (<xref ref-type="bibr" rid="B32">32</xref>). Risk stratification is primarily based on cumulative anthracycline exposure and chest radiotherapy, which determine follow-up intervals. Interestingly, when applying adult guideline criteria, a higher percentage of patients in the early (23.7%) and late (26.4%) treatment groups were classified as having subclinical myocardial dysfunction or high cardiovascular risk. These same groups also had the highest prevalence of ECG abnormalities, reinforcing the need for continuous cardiovascular monitoring throughout treatment. The findings from this study suggest that pediatric oncology patients should undergo dynamic cardiovascular risk stratification at each stage of treatment, allowing for early interventions that may help mitigate long-term cardiovascular complications.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<title>Conclusion</title>
<p>Cardiovascular function in children with cancer changes dynamically throughout chemotherapy, with significant alterations occurring during active treatment phases. Frequent cardiovascular assessments are essential for early detection of myocardial dysfunction, allowing for timely interventions to prevent irreversible cardiac damage. GLS and ECG abnormalities appear to improve sensitivity in detecting subclinical cardiotoxicity, though long-term studies are needed to confirm their prognostic value in children. Pediatric oncology patients require individualized, stage-specific cardiovascular risk stratification to optimize long-term cardiac outcomes. Future studies with larger cohorts and longitudinal follow-up are necessary to refine screening protocols and risk stratification models in pediatric cardio-oncology.</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>The studies involving humans were approved by Sant Joan de D&#xe9;u Foundation Research Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>EA: Methodology, Data curation, Validation, Project administration, Conceptualization, Supervision, Formal Analysis, Writing &#x2013; original draft, Investigation, Software, Writing &#x2013; review &amp; editing, Resources, Funding acquisition, Visualization. PG: Writing &#x2013; review &amp; editing, Formal Analysis, Visualization, Methodology, Data curation, Resources, Validation, Investigation, Software, Project administration, Supervision, Funding acquisition, Writing &#x2013; original draft, Conceptualization. MG: Validation, Writing &#x2013; review &amp; editing. CR: Writing &#x2013; original draft, Data curation. MC: Methodology, Writing &#x2013; review &amp; editing, Supervision, Validation. PR: Data curation, Writing &#x2013; review &amp; editing. AM: Conceptualization, Writing &#x2013; review &amp; editing, Supervision. JS: Funding acquisition, Project administration, Validation, Formal Analysis, Supervision, Methodology, Writing &#x2013; review &amp; editing, Conceptualization, Investigation, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. The present work has been partially funded by the Spanish Society of Cardiology: Clinical Research Projects in Cardiology of the Spanish Society of Cardiology (SEC/FEC-INV-CLIN20/010). Grant TED2021-132025B-C44 funded by MICIU/AEI/10.13039/501100011033 and by the European Union Next Generation EU/PRTR.  PGC acknowledges support from the grant#RYC2023-043724-I by MCIU/AEI/10.13039/501100011033 and from FSE+. </p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research 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) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1623081/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1623081/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>BMI, body mass index; BP, Blood pressure; CTRCD, cancer therapy-related cardiac dysfunction; GLS, Global Longitudinal Strain; LVEF, left ventricular ejection fraction.; LVDI, left ventricular diastolic diameter.; MAPSE, Mitral Annular Plane Mitral Systolic Excursion; SAPSE, Septal Annular Septal Plane Systolic Excursion; SD, standard deviation; TAPSE, Tricuspid Annular Plane Systolic Excursion; TDI, Tissue Doppler.</p>
</fn>
</fn-group>
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