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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1603926</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Oxygen targets in patients with septic shock: a retrospective cohort study on the association between hyperoxia and mortality</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lalla</surname>
<given-names>Louisa T.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3092524/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lange</surname>
<given-names>Anika Luise</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Schweingruber</surname>
<given-names>Nils</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/481982/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hardel</surname>
<given-names>Tim T.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Schr&#x00F6;der</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kluge</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Grensemann</surname>
<given-names>J&#x00F6;rn</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/479441/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurology, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2302627/overview">Sara Bobillo</ext-link>, Sant Joan de D&#x00E9;u Hospital, Spain</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1678230/overview">Gelu Onose</ext-link>, University of Medicine and Pharmacy &#x201C;Carol Davila&#x201D;, Romania</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1613209/overview">Iolanda Jordan</ext-link>, Sant Joan de D&#x00E9;u Hospital, Spain</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: J&#x00F6;rn Grensemann, <email>j.grensemann@uke.de</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1603926</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Lalla, Lange, Schweingruber, Hardel, Schr&#x00F6;der, Kluge and Grensemann.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lalla, Lange, Schweingruber, Hardel, Schr&#x00F6;der, Kluge and Grensemann</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 id="sec1">
<title>Background</title>
<p>In critically ill patients with septic shock, adequate oxygenation is crucial and hypoxia should be avoided. However, hyperoxia has been linked to the formation of reactive oxygen species, inflammation, and vasoconstriction, which could potentially harm critically ill intensive care patients. Therefore, this study aimed to examine the association between oxygen exposure and mortality and to define optimal oxygen target ranges for this specific group of patients.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This retrospective, single-center cohort study examined the influence of arterial oxygen partial pressure (PaO<sub>2</sub>) on in-hospital mortality in intensive care unit (ICU) patients with septic shock. Time-weighted mean PaO<sub>2</sub> values for days 1, 2&#x2013;3, 4&#x2013;7, and 8&#x2013;14 were calculated and analyzed using multivariable binary logistic regression models and relative distribution analyses, adjusting for age and sepsis-related organ failure assessment (SOFA) score on day 1. Additionally, PaO<sub>2</sub> integrals above thresholds of 80, 100, 120, and 150&#x202F;mmHg were calculated for periods from admission up to days 1, 3, 7, and 14, with multivariable adjusted binary logistic regression analyses performed.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 2,647 cases from 2,463 patients, identified between January 2016 and December 2022, met the inclusion criteria. The time-weighted mean PaO<sub>2</sub> values associated with the lowest mortality were 92, 81, 83, and 85&#x202F;mmHg for days 1, 2&#x2013;3, 4&#x2013;7, and 8&#x2013;14, respectively. The optimal oxygen target range decreased over time: from 77 to 103&#x202F;mmHg on day 1 to 72 to 90&#x202F;mmHg on days 2 and 3, and to 74 to 92&#x202F;mmHg for days 4 to 7. Additionally, PaO<sub>2</sub> integrals above all set thresholds of 80, 100, 120, and 150&#x202F;mmHg for all periods were found to be independently associated with increased in-hospital mortality (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 for day 1; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 for up to days 3, 7, and 14).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>In this cohort, the PaO<sub>2</sub> oxygen target range associated with the lowest mortality in patients with septic shock was approximately 80&#x2013;105&#x202F;mmHg on the first day of treatment, decreasing to approximately 75&#x2013;90&#x202F;mmHg during intensive care therapy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>septic shock</kwd>
<kwd>sepsis</kwd>
<kwd>intensive care</kwd>
<kwd>critical ill</kwd>
<kwd>hyperoxia</kwd>
<kwd>hypoxia</kwd>
<kwd>oxygenation</kwd>
<kwd>arterial oxygen partial pressure</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="8"/>
<word-count count="6324"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Intensive Care Medicine and Anesthesiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5">
<title>Background</title>
<p>In patients with sepsis and septic shock, adequate tissue oxygenation is essential to prevent further organ damage from hypoxia. Septic shock, the most severe form of sepsis, is characterized by an imbalance between oxygen supply and demand, which ultimately leads to tissue hypoxia. This can be primarily attributed to an impairment of microcirculatory function rather than a lack of oxygen in the blood (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Nevertheless, arterial oxygen partial pressure (PaO<sub>2</sub>) is a fundamental factor influencing oxygen delivery, along with the cardiac function and the hemoglobin level (<xref ref-type="bibr" rid="ref3">3</xref>). An early and effective intensive care treatment, potentially requiring oxygen supplementation and mechanical ventilation, is therefore of paramount importance to reduce mortality and morbidity associated with this severe and life-threatening pathology (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Due to the sigmoidal binding curve between oxygen and hemoglobin, only small amounts of additional oxygen are bound to hemoglobin above a PaO<sub>2</sub> of 80&#x202F;mmHg (<xref ref-type="bibr" rid="ref5">5</xref>). From this theoretical point of view, a PaO<sub>2</sub> between 65&#x202F;mmHg and 80&#x202F;mmHg, corresponding to a peripheral oxygen saturation (SpO<sub>2</sub>) of approximately 91 to 96% (<xref ref-type="bibr" rid="ref6">6</xref>), may be sufficient for adequate oxygenation in healthy subjects, while the targets in sepsis and septic shock are unknown. The current German guidelines for acute respiratory insufficiency (<xref ref-type="bibr" rid="ref7">7</xref>) and oxygen therapy in the acute care of adult patients (<xref ref-type="bibr" rid="ref3">3</xref>) recommend PaO<sub>2</sub> ranges of 90&#x2013;94% and 92&#x2013;96%, respectively. With regard to oxygenation levels above those recommendations, a recent systematic review from the Cochrane Library found an increase in mortality and morbidity with hyperoxia in the overall population of intensive care patients (<xref ref-type="bibr" rid="ref8">8</xref>). Additionally, a meta-analysis comparing liberal and conservative oxygen therapy in acutely ill patients showed an increase in mortality if oxygen is supplemented liberally (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Liberal oxygen supplementation may be associated with various side effects, including vasoconstriction, an inflammatory response, and an increased production of reactive oxygen species (ROS) (<xref ref-type="bibr" rid="ref10">10</xref>). ROS are suspected to be a major contributor to oxygen toxicity through a time-and dose-dependent accumulation in long-term hyperoxia, potentially causing cell damage by apoptosis or even necrosis (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). On the other hand, they may also enhance the response of the cellular immune system toward pathogens (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>), and therefore, an early period of short-term hyperoxia might be beneficial in ICU patients with severe infections (<xref ref-type="bibr" rid="ref15 ref16 ref17">15&#x2013;17</xref>). However, recent studies with patients suffering from sepsis have not been able to define an individual optimal PaO<sub>2</sub> value or target range for this subgroup of patients (<xref ref-type="bibr" rid="ref18">18</xref>). Similarly, sepsis guidelines do not provide any recommendations regarding arterial oxygen partial pressure or peripheral oxygen saturation (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). The purpose of the present study was to investigate the relationship between PaO<sub>2</sub> and clinical outcome in ICU patients with septic shock and to evaluate potential thresholds for optimal oxygen target ranges over time during intensive therapy, postulating a potential change in oxygenation targets.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Ethical standards</title>
<p>The study was performed in accordance with the ethical standards as written in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. The retrospective and anonymized data collection and analysis were conducted in accordance with local government law (HmbKHG. &#x00A7;12) without the requirement for approval or informed consent.</p>
</sec>
<sec id="sec8">
<title>Study design</title>
<p>This was a retrospective, single-center, exploratory cohort study. The study complies with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.</p>
</sec>
<sec id="sec9">
<title>Setting and patients</title>
<p>This study was conducted at the Department of Intensive Care, University Medical Center, Hamburg-Eppendorf, with a total of 140 intensive care beds on 12 wards, including the entire spectrum of adult intensive care medicine. Patients admitted to the ICU from January 2016 to December 2022 were included if the International Classification of Diseases 10th revision (ICD-10) code R57.2 for septic shock (<xref ref-type="bibr" rid="ref20">20</xref>) was coded in the case management system, and the following criteria, according to the SEPSIS-3 definition (<xref ref-type="bibr" rid="ref21">21</xref>), were met on the first day in intensive care: Sequential Organ Failure Assessment (SOFA) (<xref ref-type="bibr" rid="ref22">22</xref>) score of 2 points or higher, lactate greater than 2&#x202F;mmol/l, and administration of catecholamines. To ensure a valid calculation of time-weighted oxygenation parameters, patients with less than three documented arterial blood gas analyses (ABG) during intensive care were excluded from the study.</p>
</sec>
<sec id="sec10">
<title>Data retrieval</title>
<p>Patient cases were obtained from the central case management system (SAP, Walldorf, Germany). Data were subsequently extracted from the electronic intensive care patient data management system (Intensive Care Manager, V10, Dr&#x00E4;gerwerk, L&#x00FC;beck, Germany) with its corresponding proprietary data extraction tool (ICMiq, V1.3, Dr&#x00E4;gerwerk, L&#x00FC;beck, Germany). Oxygen partial pressure and time of measurement of all conducted arterial blood gas analyses, and the following demographic and descriptive data were collected: age, sex, height, weight, length of stay in the ICU, SOFA score and lactate on day 1, medical specialty, and in-hospital mortality. Data management was performed using Microsoft Excel 2019 (Microsoft Corp., Redmond, WA, United States).</p>
</sec>
<sec id="sec11">
<title>Oxygen parameters</title>
<p>As published previously (<xref ref-type="bibr" rid="ref23">23</xref>), time-weighted mean PaO<sub>2</sub> and PaO<sub>2</sub> integrals above thresholds of 80, 100, 120, and 150&#x202F;mmHg were calculated based on the ABG analysis results, assuming a linear change of PaO<sub>2</sub> between two measurements (as illustrated in <xref ref-type="sec" rid="sec24">Supplementary Figure S1</xref>). Time-weighted mean PaO<sub>2</sub> was calculated (A) for the first 24&#x202F;h after admission as the hyperacute phase, (B) from 24&#x202F;h post-admission up to 72&#x202F;h as the acute phase, (C) from day 4 up to day 7, and (D) from day 8 to day 14 for long-term observation. To address the time-and dose-dependent accumulation of oxygen toxicity, the integrals above the set thresholds were calculated from admission to the ICU to the end of (A) 24&#x202F;h, (B) 72&#x202F;h, (C) day 7, and (D) day 14. To allow for comparisons, all parameters were calculated as mean values per day. If less than three ABGs were obtained in the particular period of time, no oxygen parameters were calculated. All calculations were performed with Visual Basic for Applications (V7.1, Microsoft Corp., Redmond, WA, United States).</p>
</sec>
<sec id="sec12">
<title>Outcome parameters</title>
<p>The primary outcome of this study was in-hospital mortality. For patients who were admitted to the ICU multiple times and died during or following their most recent stay, the outcome of the previous admissions was defined as survival.</p>
</sec>
<sec id="sec13">
<title>Statistical analysis</title>
<p>Univariate statistical analyses were conducted using Student&#x2019;s <italic>t</italic>-test on patient characteristics and oxygenation parameters. Age and SOFA score on day 1 were selected <italic>a priori</italic> as covariates for all multivariable statistical analyses. To assess time-weighted mean PaO<sub>2</sub> as a continuous parameter and to determine the non-linear correlation between oxygen exposure and in-hospital mortality, multivariable adjusted binary logistic regression models using restricted cubic splines with knots at the 10th, 50th, and 90th percentiles were generated and illustrated as odds ratios with corresponding 95% confidence intervals, as published previously (<xref ref-type="bibr" rid="ref24">24</xref>). Additionally, relative distribution analyses (<xref ref-type="bibr" rid="ref25">25</xref>), based on the time-weighted mean PaO<sub>2</sub>, were carried out to determine lower and upper thresholds with corresponding 95% CI of potential optimal oxygen target ranges. Changes in the optimal oxygen target range during the treatment were investigated using the Welsh test. For the multivariable analyses of PaO<sub>2</sub> integrals above the thresholds, binary multivariable logistic regression analyses for in-hospital mortality as the dependent variable were calculated, and the results were represented as odds ratios (OR) along with the corresponding 95% confidence intervals (CI). Separate models were calculated for different oxygenation parameters as independent variables. Statistical tests were considered statistically significant at a <italic>p</italic>-value of &#x003C;0.05. If not stated otherwise, data are given for cases of sepsis therapy rather than the number of patients. All statistical analyses were performed with R Project for Statistical Computing (version 4.3.3, R Foundation for Statistical Computing, Vienna, Austria). Data are given as numbers (percentage, %) for categorical parameters and mean (&#x00B1; standard deviation, SD) or median [interquartile range, IQR] for continuous variables, as appropriate.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<p>From January 2016 to December 2022, the ICD-10 code R57.2 for septic shock was coded in 4,701 cases. Of these, 1,938 cases were excluded for not meeting the SEPSIS-3 criteria, and 116 cases were excluded due to missing ABG values. Ultimately, 2,647 cases from 2,463 patients, with 414,889 available ABGs, met the inclusion criteria and were included in the subsequent analyses. From these patients, 144 received treatment for septic shock more than once during the study period, resulting in more cases of sepsis therapy than individual patients. Of the included patients, 1,477 (60%) died during the hospital stay. A summary of patients&#x2019; baseline characteristics is provided in <xref ref-type="table" rid="tab1">Table 1</xref>. The time-weighted mean PaO<sub>2</sub> values were 92&#x202F;&#x00B1;&#x202F;23, 83&#x202F;&#x00B1;&#x202F;16, 82&#x202F;&#x00B1;&#x202F;12, and 82&#x202F;&#x00B1;&#x202F;12&#x202F;mmHg on days 1, 2&#x2013;3, 4&#x2013;7, and 8&#x2013;14, respectively. An illustration of the distribution of time-weighted mean PaO<sub>2</sub> values is given in <xref ref-type="sec" rid="sec24">Supplementary Figure S2</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Baseline characteristics</th>
<th align="center" valign="top">Overall (<italic>n</italic> =&#x202F;2,647)</th>
<th align="center" valign="top">Survived (<italic>n</italic> =&#x202F;1,170)</th>
<th align="center" valign="top">Deceased (<italic>n</italic> =&#x202F;1,477)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age [years]</td>
<td align="center" valign="top">64&#x202F;&#x00B1;&#x202F;15</td>
<td align="center" valign="top">62&#x202F;&#x00B1;&#x202F;15</td>
<td align="center" valign="top">65&#x202F;&#x00B1;&#x202F;14</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Sex</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">908 (34%)</td>
<td align="center" valign="top">393 (34%)</td>
<td align="center" valign="top">515 (35%)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">1739 (66%)</td>
<td align="center" valign="top">777 (66%)</td>
<td align="center" valign="top">962 (65%)</td>
</tr>
<tr>
<td align="left" valign="top">Height [cm]</td>
<td align="center" valign="top">174&#x202F;&#x00B1;&#x202F;13</td>
<td align="center" valign="top">174&#x202F;&#x00B1;&#x202F;10</td>
<td align="center" valign="top">174&#x202F;&#x00B1;&#x202F;16</td>
</tr>
<tr>
<td align="left" valign="top">Weight [kg]</td>
<td align="center" valign="top">82&#x202F;&#x00B1;&#x202F;24</td>
<td align="center" valign="top">81&#x202F;&#x00B1;&#x202F;23</td>
<td align="center" valign="top">82&#x202F;&#x00B1;&#x202F;24</td>
</tr>
<tr>
<td align="left" valign="top">Length of stay in intensive care unit [days]</td>
<td align="center" valign="top">16&#x202F;&#x00B1;&#x202F;23</td>
<td align="center" valign="top">20&#x202F;&#x00B1;&#x202F;25</td>
<td align="center" valign="top">13&#x202F;&#x00B1;&#x202F;21</td>
</tr>
<tr>
<td align="left" valign="top">SOFA score on day 1</td>
<td align="center" valign="top">13 [5]</td>
<td align="center" valign="top">12 [4]</td>
<td align="center" valign="top">14 [5]</td>
</tr>
<tr>
<td align="left" valign="top">Lactate on day 1 [mmol/l]</td>
<td align="center" valign="top">6.9&#x202F;&#x00B1;&#x202F;5.3</td>
<td align="center" valign="top">5.2&#x202F;&#x00B1;&#x202F;3.5</td>
<td align="center" valign="top">8.4&#x202F;&#x00B1;&#x202F;6.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Medical specialty</td>
</tr>
<tr>
<td align="left" valign="top">Internal medicine</td>
<td align="center" valign="top">1,105 (42%)</td>
<td align="center" valign="top">464 (40%)</td>
<td align="center" valign="top">641 (43%)</td>
</tr>
<tr>
<td align="left" valign="top">Surgery</td>
<td align="center" valign="top">1,458 (55%)</td>
<td align="center" valign="top">665 (57%)</td>
<td align="center" valign="top">793 (54%)</td>
</tr>
<tr>
<td align="left" valign="top">Neurology</td>
<td align="center" valign="top">50 (2%)</td>
<td align="center" valign="top">24 (2%)</td>
<td align="center" valign="top">26 (2%)</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">34 (1%)</td>
<td align="center" valign="top">17 (1%)</td>
<td align="center" valign="top">17 (1%)</td>
</tr>
<tr>
<td align="left" valign="top">In-hospital mortality <sup>&#x002A;</sup></td>
<td align="center" valign="top">1,477 (60%)</td>
<td colspan="2"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are given as numbers and percentages, mean &#x00B1; standard deviation, or median and interquartile range in brackets, as applicable. <sup>&#x002A;</sup> referring to the number of patients (<italic>n</italic>&#x202F;=&#x202F;2,463) instead of the quantity of intensive care episodes.</p>
</table-wrap-foot>
</table-wrap>
<p>The univariate analysis based on the time-weighted mean PaO<sub>2</sub> for the four periods of time showed no significant impact of PaO<sub>2</sub> on in-hospital mortality (<xref ref-type="sec" rid="sec24">Supplementary Table S1</xref>). To address PaO<sub>2</sub> as a continuous parameter, time-weighted mean PaO<sub>2</sub> values for all four periods of time were depicted in separate multivariable adjusted logistic regression models, revealing a U-shaped association between oxygenation and in-hospital mortality with an increased occurrence of adverse outcomes for both hypoxia and hyperoxia. The PaO<sub>2</sub> values associated with the lowest in-hospital mortality were 92&#x202F;mmHg, 81&#x202F;mmHg, 83&#x202F;mmHg, and 85&#x202F;mmHg for days 1, 2&#x2013;3, 4&#x2013;7, and 8&#x2013;14, respectively (<xref ref-type="fig" rid="fig1">Figures 1A</xref>&#x2013;<xref ref-type="fig" rid="fig1">D</xref>). Statistical significances (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) toward hyperoxia were achieved at 106&#x202F;mmHg, 100&#x202F;mmHg, and 93&#x202F;mmHg for days 1, 2&#x2013;3, and 4&#x2013;7, respectively (<xref ref-type="fig" rid="fig1">Figures 1A</xref>&#x2013;<xref ref-type="fig" rid="fig1">C</xref>). In addition, hypoxia below 77&#x202F;mmHg from day 4 to day 14 was statistically significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) associated with an increase in mortality (<xref ref-type="fig" rid="fig1">Figures 1C</xref>,<xref ref-type="fig" rid="fig1">D</xref>). Beyond these limits, a further increase in the odds ratios for in-hospital mortality could be observed with more pronounced hypoxia or hyperoxia.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Logistic regression models of mean PaO<sub>2</sub> for in-hospital mortality. Logistic regression models for in-hospital mortality modelling time-weighted mean PaO<sub>2</sub> in mmHg as a restricted cubic spline with three knots at the 10th, 50th, and 90th percentiles. The gray area represents 95% confidence intervals (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Models were adjusted for age and sepsis-related organ failure assessment score on day 1. The dashed vertical line represents the reference PaO<sub>2</sub> associated with the lowest mortality. <bold>(A)</bold> On day 1: reference: PaO<sub>2</sub>&#x202F;=&#x202F;92&#x202F;mmHg, significance for hyperoxia: PaO<sub>2</sub>&#x202F;=&#x202F;106&#x202F;mmHg. <bold>(B)</bold> Days 2 and 3: reference: PaO<sub>2</sub>&#x202F;=&#x202F;81&#x202F;mmHg, significance for hyperoxia: PaO<sub>2</sub>&#x202F;=&#x202F;100&#x202F;mmHg. <bold>(C)</bold> Days 4 to 7: reference: PaO<sub>2</sub>&#x202F;=&#x202F;83&#x202F;mmHg, significance for hypoxia/hyperoxia: PaO<sub>2</sub>&#x202F;=&#x202F;77/93&#x202F;mmHg. <bold>(D)</bold> Days 8 to 14: reference: PaO<sub>2</sub>&#x202F;=&#x202F;85&#x202F;mmHg, significance for hypoxia: PaO<sub>2</sub>&#x202F;=&#x202F;77&#x202F;mmHg. PaO<sub>2</sub>&#x202F;=&#x202F;arterial partial pressure of oxygen in mmHg.</p>
</caption>
<graphic xlink:href="fmed-12-1603926-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four line graphs labeled A to D show the predicted odds ratio for mortality plotted against mean PaO2 in mmHg. Each curve displays a U-shaped trend with a minimum point indicated by a vertical dashed line: A at 92 mmHg, B at 81 mmHg, C at 83 mmHg, and D at 85 mmHg. Shaded areas represent 95% confidence intervals.</alt-text>
</graphic>
</fig>
<p>As upper and lower thresholds for an optimal oxygen target range for intensive care therapy of patients with septic shock, the relative distribution analyses revealed 77&#x202F;mmHg (95%CI: 74&#x202F;mmHg to 81&#x202F;mmHg) and 103&#x202F;mmHg (95%CI: 98&#x202F;mmHg to 110&#x202F;mmHg) for day 1, 72&#x202F;mmHg (95%CI: 70&#x202F;mmHg to 75&#x202F;mmHg) to 90&#x202F;mmHg (95%CI: 86&#x202F;mmHg to 93&#x202F;mmHg) for days 2 and 3, and 74&#x202F;mmHg (95%CI: 72&#x202F;mmHg to 76&#x202F;mmHg) to 92&#x202F;mmHg (95%CI: 86&#x202F;mmHg to 103&#x202F;mmHg) for days 4 to 7 (<xref ref-type="fig" rid="fig2">Figures 2A</xref>&#x2013;<xref ref-type="fig" rid="fig2">C</xref>). For long-term intensive care therapy (days 8 to 14, <xref ref-type="fig" rid="fig2">Figure 2D</xref>), the lower threshold was at PaO<sub>2</sub> above 76&#x202F;mmHg (95%CI: 74&#x202F;mmHg to 79&#x202F;mmHg), whereas no upper threshold could be identified by the relative distribution analysis. The upper thresholds of the optimal oxygen target ranges decreased significantly over time (days 2 to 3 vs. day 1: <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, days 4 to 7 vs. day 1: <italic>p</italic>&#x202F;=&#x202F;0.038).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Relative distribution analyses of mean PaO<sub>2</sub> for in-hospital mortality. Relative distribution analysis for in-hospital mortality, based on time-weighted mean PaO<sub>2</sub>, adjusted for age and sepsis-related organ failure assessment score on day 1. The upper x-axis displays the time-weighted mean PaO<sub>2</sub> corresponding to the reference proportion. The gray area depicts the 95%CI. PaO<sub>2</sub>&#x202F;=&#x202F;arterial partial pressure of oxygen. 95%CI&#x202F;=&#x202F;95% confidence interval. <bold>(A)</bold> On day 1. PaO<sub>2</sub> of lower threshold: 77&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.959&#x2013;1.041 (PaO<sub>2</sub>: 74&#x2013;81&#x202F;mmHg). PaO<sub>2</sub> of upper threshold: 103&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.959&#x2013;1.041 (PaO<sub>2</sub>: 98&#x2013;110&#x202F;mmHg). <bold>(B)</bold> Days 2 and 3. PaO<sub>2</sub> of lower threshold: 72&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.957&#x2013;1.043 (PaO<sub>2</sub>: 70&#x2013;75&#x202F;mmHg). PaO<sub>2</sub> of upper threshold: 90&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.957&#x2013;1.043 (PaO<sub>2</sub>: 86&#x2013;93&#x202F;mmHg). <bold>(C)</bold> Days 4 to 7. PaO<sub>2</sub> of lower threshold: 74&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.952&#x2013;1.048 (PaO<sub>2</sub>: 72&#x2013;76&#x202F;mmHg). PaO<sub>2</sub> of upper threshold: 92&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.952&#x2013;1.048 (PaO<sub>2</sub>: 86&#x2013;103&#x202F;mmHg). <bold>(D)</bold> Days 8 to 14. PaO<sub>2</sub> of lower threshold: 76&#x202F;mmHg&#x202F;=&#x202F;1.00, 95%CI&#x202F;=&#x202F;0.945&#x2013;1.055 (PaO<sub>2</sub>: 74&#x2013;79&#x202F;mmHg). PaO<sub>2</sub> of upper threshold: no threshold evaluated.</p>
</caption>
<graphic xlink:href="fmed-12-1603926-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs labeled A, B, C, and D show relative distribution plots comparing patients discharged alive with those who died in the hospital, based on varying PaO2 levels. Graph A shows PaO2 cut-offs at 77 and 103 mmHg, B at 72 and 90 mmHg, C at 74 and 92 mmHg, and D at 76 mmHg. Shaded areas represent confidence intervals around the lines.</alt-text>
</graphic>
</fig>
<p>With regard to the integrals above thresholds of 80, 100, 120, and 150&#x202F;mmHg, hyperoxia above all thresholds could be determined as a predictive factor for mortality in univariate analyses on day 1 (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) as well as up to days 3, 7, and 14 (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="sec" rid="sec24">Supplementary Table S2</xref>). After adjusting for age and SOFA score on day 1, these results could be confirmed in multivariable binary logistic regression analyses, showing significantly higher odds ratios for mortality with higher PaO<sub>2</sub> values (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref ref-type="sec" rid="sec24">Supplementary Table S3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Odds ratios for in-hospital mortality. Odds ratios for in-hospital mortality for the integrals above the respective threshold, depicting a mean increase of 1&#x202F;mmHg/day. Separate binary logistic regression models were calculated for each oxygenation parameter. All models were adjusted for age and sepsis-related organ failure assessment score on day 1. &#x25B2;&#x202F;=&#x202F;arterial oxygen partial pressure integral above a threshold of 150&#x202F;mmHg. &#x2666;&#x202F;=&#x202F;arterial oxygen partial pressure integral above a threshold of 120&#x202F;mmHg. &#x25A0;&#x202F;=&#x202F;arterial oxygen partial pressure integral above a threshold of 100&#x202F;mmHg. &#x2B24;&#x202F;=&#x202F;arterial oxygen partial pressure integral above a threshold of 80&#x202F;mmHg. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 versus baseline. &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 versus baseline. Error bars present the 95% confidence intervals.</p>
</caption>
<graphic xlink:href="fmed-12-1603926-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot showing odds ratios for mortality by various oxygenation parameters, accross different time periods and threshold values. Each marker represents an odds ratio with a horizontal line indicating the 95% confidence interval. All results are statistically significant with an odds ratios above 1.0.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="discussion" id="sec15">
<title>Discussion</title>
<p>In this retrospective study of patients suffering from septic shock, both hypoxia and hyperoxia were associated with an increase in in-hospital mortality in this specific subgroup of ICU patients. The relationship between oxygen exposure and outcome exhibited a U-shaped curve with an optimal arterial oxygen partial pressure occurring at an intermediate range. Interestingly, the target range associated with the best outcome decreased after the first 24&#x202F;h following the onset of shock. Using integral calculations above multiple thresholds to assess the relationship between oxygen exposure and oxygen toxicity, hyperoxia exceeding 80&#x202F;mmHg was associated with an increase in in-hospital mortality from admission up to day 14. Of note, oxygen integrals above the lower thresholds also include the integrals above the higher thresholds; therefore, the optimal PaO<sub>2</sub> revealed by the logistic regression models or the optimal target range identified in the relative distribution analyses may be within or above the lower integral thresholds (<xref ref-type="bibr" rid="ref24">24</xref>). Our results favor a slightly higher PaO<sub>2</sub> than that currently recommended in guidelines, which advise a target range for oxygen saturation of 92&#x2013;96% in the acute care of adult patients (<xref ref-type="bibr" rid="ref3">3</xref>), corresponding to a PaO<sub>2</sub> of 68&#x202F;mmHg to 84&#x202F;mmHg (<xref ref-type="bibr" rid="ref6">6</xref>), and of 90&#x2013;94% in the mechanically ventilated patients (<xref ref-type="bibr" rid="ref7">7</xref>), corresponding to a PaO<sub>2</sub> of 60&#x202F;mmHg to 76&#x202F;mmHg (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>The main goal of oxygen administration in intensive care therapy is the prevention of hypoxic organ damage by ensuring sufficient tissue oxygenation while minimizing oxygen toxicity (<xref ref-type="bibr" rid="ref26">26</xref>). As outlined above, only negligible amounts of oxygen are bound to hemoglobin above a PaO<sub>2</sub> of 80&#x202F;mmHg, corresponding to an SpO<sub>2</sub> of approximately 96% (<xref ref-type="bibr" rid="ref6">6</xref>). However, supranormal PaO<sub>2</sub> may have other effects beyond cell oxygenation (<xref ref-type="bibr" rid="ref26">26</xref>), which may be beneficial or harmful to the ICU patient, depending on the underlying pathology (<xref ref-type="bibr" rid="ref10">10</xref>); for sepsis, it has been shown that higher oxygenation targets on the first days might be beneficial (<xref ref-type="bibr" rid="ref15 ref16 ref17">15&#x2013;17</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). One reason may be that neutrophils rely on reactive oxygen species (ROS) for their bactericidal effects and are therefore capable of producing and releasing ROS to directly damage the pathogens by impairing, inter alia, their genetic material, proteins, and cell membranes (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Increasing the oxygen partial pressure may facilitate this mechanism, especially on the first day of treatment.</p>
<p>On the other hand, hyperoxia induces a number of physiological disturbances, such as oxidative stress, inflammation, and vasoconstriction, which collectively result in oxygen toxicity (<xref ref-type="bibr" rid="ref26">26</xref>). While oxygen radicals are produced permanently, an excess may overwhelm the antioxidative mechanisms of the body and therefore lead to toxic effects (<xref ref-type="bibr" rid="ref11">11</xref>), e.g., damage to cell membranes, proteins, DNA, and mitochondria. Ultimately, this oxidative stress may promote cell death through apoptosis or necrosis, leading to systemic tissue and organ damage (<xref ref-type="bibr" rid="ref28">28</xref>). In addition to oxidative stress, hyperoxia may lead to a further inflammatory reaction through an activation of immune cells and the release of pro-inflammatory cytokines, e.g., interleukin 6 (<xref ref-type="bibr" rid="ref29">29</xref>), which may contribute to neuroinflammation (<xref ref-type="bibr" rid="ref30">30</xref>), pulmonary damage (<xref ref-type="bibr" rid="ref30 ref31 ref32">30&#x2013;32</xref>), and vasoconstriction (<xref ref-type="bibr" rid="ref33">33</xref>), causing a secondary deterioration of tissue oxygenation (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>After day 1, the oxygen target range associated with the lowest mortality decreased to approximately a PaO<sub>2</sub> of 80&#x202F;mmHg. We suggest that, with concurrent appropriate antibiotic therapy, less ROS are required to facilitate neutrophil killing and that the balance of tissue oxygenation and oxygen toxicity reaches a lower tipping point than on day 1. For long-term hyperoxia during days 8 to 14 of intensive care therapy, we could not evaluate an upper threshold for an optimal oxygen target range in ICU patients with septic shock, presumably due to fewer cases with available ABGs until day 14 due to deceased or discharged patients. Nevertheless, a U-shaped association between PaO2 and mortality persisted, with higher PaO<sub>2</sub> tending to be associated with a worsened outcome.</p>
<p>To date, several prospective studies have investigated the influence of hyperoxia on the mortality of ICU patients with sepsis or septic shock and attempted to define an optimal oxygen target range for this specific patient population. Although the HYPERS2S trial did not show a significant difference in mortality for patients ventilated with a fraction of inspired oxygen (FiO<sub>2</sub>) of 1.0 and those targeted to an SpO<sub>2</sub> of 88&#x2013;95% for the first 24&#x202F;h of treatment, it was prematurely terminated due to complications in the hyperoxia group (<xref ref-type="bibr" rid="ref35">35</xref>). A <italic>post-hoc</italic> analysis of this trial found that hyperoxia was associated with an increase in mortality in patients with a lactate concentration greater than 2&#x202F;mmol/l (<xref ref-type="bibr" rid="ref36">36</xref>), aligning with the result of our study. These findings are consistent with those of other studies, which have demonstrated an increase in mortality if the PaO<sub>2</sub> at ICU admission was above 150&#x202F;mmHg in patients with pre-hospital invasive ventilation (<xref ref-type="bibr" rid="ref37">37</xref>) or greater than 300&#x202F;mmHg in the initial treatment of severe infections (<xref ref-type="bibr" rid="ref38">38</xref>). In contrast, some observational studies were able to show beneficial effects of hyperoxia in septic ICU patients with a decrease in mortality when the PaO<sub>2</sub> was above 100&#x202F;mmHg (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref17">17</xref>) or greater than 80&#x202F;mmHg (<xref ref-type="bibr" rid="ref16">16</xref>). One study could depict a U-shaped relationship between PaO<sub>2</sub> and the probability of death, with the optimal PaO<sub>2</sub> at 300&#x202F;mmHg (<xref ref-type="bibr" rid="ref39">39</xref>), which is considerably higher than the optimal PaO<sub>2</sub> indicated by our data. Some retrospective studies have been unable to demonstrate a statistically significant influence of hyperoxia on the mortality in sepsis patients (<xref ref-type="bibr" rid="ref40 ref41 ref42 ref43 ref44">40&#x2013;44</xref>). To date, only one randomized trial has examined three oxygen target ranges simultaneously to test for a U-shaped relationship between oxygen dose and outcome, but this single-center study included ventilated medical patients, only approximately 30% of whom had sepsis or septic shock, and failed to show a difference between groups (<xref ref-type="bibr" rid="ref45">45</xref>). According to a recent systematic review, the optimum ranges of oxygen levels in sepsis and septic shock remain unknown, concluding the need for further research on this topic (<xref ref-type="bibr" rid="ref18">18</xref>). Similarly, our findings emphasize the necessity for further studies, especially randomized controlled trials and fundamental research.</p>
<p>The mortality rate in our cohort was above the previously published rate for patients suffering from septic shock (<xref ref-type="bibr" rid="ref46">46</xref>). We attribute this high rate to our function as a tertiary care center, providing specialized care to critically ill patients with particularly complex health conditions.</p>
<p>This study has certain limitations. The retrospective design enabled us to demonstrate an association between oxygen exposure and in-hospital mortality in patients with septic shock; however, this does not imply causality. Potential confounders biasing the results or underlying reasons for hyperoxygenation cannot be ruled out. The calculation of mean values from numerous ABGs during the ICU treatment allowed us to explore the effect of long-term oxygen exposure, but the occurrence of temporary hypoxia, for example, during acute pulmonary complications, or short-term hyperoxia, such as during preoxygenation before interventions, between the measurements cannot be excluded. Furthermore, with an extended period of ABG-guided ventilation, the number of patients exhibiting supranormal arterial oxygen partial pressure values decreased because normoxia was targeted in accordance with the preexisting literature on hyperoxia in ICU patients (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<title>Conclusion</title>
<p>In this retrospective cohort study exploring the association between oxygen exposure and mortality in ICU patients with septic shock, the relationship between PaO<sub>2</sub> and in-hospital mortality appeared U-shaped, with adverse effects of hypoxia as well as hyperoxia. Notably, oxygen ranges associated with the lowest mortality decreased from approximately 80 to 105&#x202F;mmHg on day 1 to approximately 75 to 90&#x202F;mmHg in the further course of treatment. These findings support the necessity of targeted oxygen supplementation, considering oxygen as a vital medication with the potential for dose-and time-dependent adverse effects. Further prospective clinical trials should take into account changing target ranges during the treatment of ICU patients with septic shock to improve patient outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<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 sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>LL: Formal analysis, Methodology, Software, Visualization, Writing &#x2013; original draft. AL: Data curation, Investigation, Project administration, Writing &#x2013; review &#x0026; editing. NS: Formal analysis, Methodology, Software, Writing &#x2013; review &#x0026; editing. TH: Investigation, Project administration, Writing &#x2013; review &#x0026; editing. MS: Investigation, Writing &#x2013; review &#x0026; editing. SK: Supervision, Writing &#x2013; review &#x0026; editing. JG: Conceptualization, Formal analysis, Resources, Software, Supervision, Validation, Writing &#x2013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec21">
<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 sec-type="ai-statement" id="sec22">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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 sec-type="disclaimer" id="sec23">
<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 sec-type="supplementary-material" id="sec24">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2025.1603926/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2025.1603926/full#supplementary-material</ext-link></p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ABG, arterial blood gas; CI, confidence interval; FiO2, fraction of inspired oxygen; ICD, International Statistical Classification of Diseases and Related Health Problems; ICU, intensive care unit; IQR, interquartile range; mmHg, millimeter of mercury; OR, odds ratio; PaO<sub>2</sub>, arterial oxygen partial pressure; ROS, reactive oxygen species; SOFA, sepsis-related organ failure assessment; SpO<sub>2</sub>, peripheral oxygen saturation.</p>
</fn>
</fn-group>
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