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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2235-2988</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1738204</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Omega-3 fatty acids as host-directed immunomodulatory therapeutics in sepsis: real-world evidence supporting drug development potential for systemic inflammatory diseases</article-title>
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<contrib contrib-type="author">
<name><surname>Hong</surname><given-names>Chengying</given-names></name>
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<name><surname>Xia</surname><given-names>Jinquan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Zhenmi</given-names></name>
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<name><surname>Chen</surname><given-names>Yuting</given-names></name>
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<name><surname>Hui</surname><given-names>Kangping</given-names></name>
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<name><surname>Wang</surname><given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Chen</surname><given-names>Huaisheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Critical Care Medicine, Shenzhen People&#x2019;s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology</institution>, <city>Shenzhen</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Clinical Medical Research Center, Shenzhen People&#x2019;s Hospital, The Second Clinical Medical College, Jinan University The First Affiliated Hospital of Southern University of Science and Technology</institution>, <city>Shenzhen</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Critical Care Medicine, Shenzhen People&#x2019;s Hospital, The Second Clinical Medical College, Jinan University</institution>, <city>Shenzhen</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Endocrinology Department, Shenzhen People&#x2019;s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology</institution>, <city>Shenzhen</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Department of Geriatrics, Shenzhen People&#x2019;s Hospital, The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University</institution>, <city>Shenzhen</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Wei Wang, <email xlink:href="mailto:windy97333@aliyun.com">windy97333@aliyun.com</email>; Huaisheng Chen, <email xlink:href="mailto:sunshinic@hotmail.com">sunshinic@hotmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-26">
<day>26</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1738204</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Hong, Xia, Liu, Chen, Hui, Wang and Chen.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Hong, Xia, Liu, Chen, Hui, Wang and Chen</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, characterized by dysregulated inflammation and immune dysfunction mechanisms also central to many neglected tropical diseases. Omega-3 fatty acids (&#x3a9;-3 FAs) possess potent anti-inflammatory and immunomodulatory properties that may improve survival outcomes in such conditions. This retrospective real-world study evaluated the impact of &#x3a9;-3 FA supplementation on ICU mortality among patients with sepsis and identified prognostic factors influencing therapeutic efficacy.</p>
</sec>
<sec>
<title>Methods</title>
<p>Patients admitted with sepsis to the ICU of Shenzhen People&#x2019;s Hospital between December 2016 and July 2019 were retrospectively analyzed. Propensity score matching (PSM) was applied at a 1:2 ratio between &#x3a9;-3 FA-treated and control groups using covariates including age, sex, diagnosis, norepinephrine (NE) requirement, hemofiltration (HF), C-reactive protein (CRP), and lymphocyte count. Logistic regression and inverse probability of treatment weighting (IPTW) were performed to determine the independent effect of &#x3a9;-3 FAs on mortality.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 633 patients were included (&#x3a9;-3 FA group, <italic>n</italic>&#xa0;=&#xa0;211; control, <italic>n</italic>&#xa0;=&#xa0;422). The unadjusted mortality rate was 32.7% in the &#x3a9;-3 FA group and 24.6% in controls (<italic>p</italic>&#xa0;=&#xa0;0.032). Univariate analysis showed a weak protective effect of &#x3a9;-3 FAs (HR&#xa0;=&#xa0;0.74, 95% CI: 0.54&#x2013;1.02, <italic>p</italic>&#xa0;=&#xa0;0.062). After adjusting for age, HF and NE requirements, CRP, lymphocyte count, Sequential Organ Failure Assessment (SOFA) score, and abdominal infection, &#x3a9;-3 FAs demonstrated a significant protective effect (HR&#xa0;=&#xa0;0.60, 95% CI: 0.43&#x2013;0.83, <italic>p</italic>&#xa0;=&#xa0;0.003). Kaplan&#x2013;Meier analysis confirmed improved survival in the &#x3a9;-3 FA group (<italic>p</italic>&#xa0;=&#xa0;0.038). Advanced age, elevated CRP, and higher NE dependence were identified as factors that negatively modulated &#x3a9;-3 FA efficacy.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Omega-3 fatty acid supplementation was associated with significantly reduced adjusted ICU mortality in sepsis, underscoring its host-directed immunomodulatory properties. These findings highlight the translational potential of &#x3a9;-3 FAs as adjunct therapeutic agents in sepsis and other infection-associated inflammatory disorders, supporting further drug development toward host-directed treatments for neglected tropical diseases.</p>
</sec>
</abstract>
<kwd-group>
<kwd>drug development</kwd>
<kwd>host-directed therapy</kwd>
<kwd>immunomodulation</kwd>
<kwd>omega-3 fatty acids</kwd>
<kwd>real-world study</kwd>
<kwd>sepsis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Natural Science Foundation of Guangdong Province (Grant No. 2021A1515012119), Guangdong Provincial Clinical Research Center for Geriatrics (2023B1111010012), Shenzhen Clinical Research Center for Geriatrics (LCYSSQ20210621092537007), National Key Clinical Specialty Construction Project (Department of Geriatrics).</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="11"/>
<word-count count="6078"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Sepsis is a life-threatening clinical syndrome resulting from a dysregulated host response to infection, leading to widespread inflammation, tissue damage, and multi-organ failure (<xref ref-type="bibr" rid="B6">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B1">Baddam and Burns, 2025</xref>). Despite major advances in antibiotic&#xa0;therapy, hemodynamic support, and critical care technologies, the mortality rate associated with sepsis remains unacceptably high, ranging from 25% to 40% in intensive care units (ICUs) worldwide (<xref ref-type="bibr" rid="B30">Waxman et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B18">La Via et&#xa0;al., 2025</xref>). Current therapeutic interventions primarily aim to eradicate infection and maintain organ function through modalities such as mechanical ventilation (MV), continuous renal replacement therapy (CRRT), and vasopressor administration&#x2014;most commonly norepinephrine (NE) to sustain blood pressure (<xref ref-type="bibr" rid="B18">La Via et&#xa0;al., 2025</xref>). However, these approaches offer limited impact on the underlying immunopathology of sepsis, which is characterized by uncontrolled inflammation, immune exhaustion, and metabolic dysregulation. Conventional immunomodulatory therapies including corticosteroids, cytokine antagonists, complement or coagulation regulators, and intravenous immunoglobulins have demonstrated inconsistent or modest benefits, emphasizing the need for alternative host-directed therapeutic strategies that can modulate immune responses rather than merely suppress infection (<xref ref-type="bibr" rid="B14">Jain et&#xa0;al., 2024</xref>). Omega-3 fatty acids (&#x3a9;-3 FAs), a subclass of polyunsaturated fatty acids (PUFAs), have gained increasing attention for their anti-inflammatory and immunoresolving properties (<xref ref-type="bibr" rid="B15">Jerab et&#xa0;al., 2025</xref>). These bioactive lipids are precursors of specialized pro-resolving mediators such as resolving, protections, and margins, which actively terminate inflammation, enhance macrophage-mediated clearance, and promote tissue repair. Experimental and clinical studies have suggested that &#x3a9;-3 FA supplementation may improve immune homeostasis, reduce pro-inflammatory cytokine release, and attenuate organ injury in sepsis. For instance, a pilot randomized trial in septic patients with intestinal dysfunction found that fish-oil&#x2013;based &#x3a9;-3 supplementation improved T helper/inducer and CD4/CD8 lymphocyte ratios and reduced 28-day mortality (12.5% vs 41.7%) compared with standard care (<xref ref-type="bibr" rid="B15">Jerab et&#xa0;al., 2025</xref>). Nevertheless, the therapeutic efficacy of &#x3a9;-3 FAs in sepsis remains controversial. Meta-analyses of randomized controlled trials have shown conflicting results: an earlier analysis of 17 RCTs (1239 patients) reported a non-significant mortality benefit (RR &#x2248; 0.85, 95% CI 0.71&#x2013;1.03) but reduction in ICU-length of stay and duration of mechanical ventilation (<xref ref-type="bibr" rid="B21">Lu et&#xa0;al., 2017</xref>). A more recent meta-analysis of 20 RCTs (1514 patients) found a significant association between &#x3a9;-3 supplementation and reduced mortality (RR&#xa0;=&#xa0;0.82, 95% CI 0.69&#x2013;0.97) especially in patients with gastrointestinal dysfunction (<xref ref-type="bibr" rid="B29">Wang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B19">Li et&#xa0;al., 2024</xref>). Importantly, evidence derived from randomized trials may not fully capture the complexity of routine clinical practice. Real-world studies provide a valuable complement by reflecting heterogeneous patient populations, treatment variations, and dynamic clinical decision-making. Therefore, this retrospective real-world study was designed to evaluate the impact of &#x3a9;-3 FA supplementation on ICU mortality in patients with sepsis. The findings aim to generate clinically meaningful evidence on the host-directed immunomodulatory role of &#x3a9;-3 FAs and support their potential development as adjunct therapeutic agents for systemic inflammatory and infection-associated disorders.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>The study was conducted in accordance with the ethical principles outlined in the Declaration of Helsinki and complied with relevant Chinese regulations. And the study was authorized by the Medical Department of Shenzhen People&#x2019;s Hospital and approved by the hospital&#x2019;s Ethics Committee, with the serial number LL-KY-2023207-01. The Ethics Committee granted exemption from obtaining signed informed consent forms for this study. Patient information was obtained through the hospital&#x2019;s information system for retrospective real-world. The research was conducted in the critical care department of the hospital, which had a capacity of 22 beds.</p>
<sec id="s2_1">
<title>Patient selection and eligibility criteria</title>
<p>All patients admitted to the Department of Critical Care Medicine between December 1, 2016, and June 30, 2019, were retrospectively screened according to the diagnostic standards outlined in the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) (<xref ref-type="bibr" rid="B10">Evans et&#xa0;al., 2021</xref>). Eligible participants were those who fulfilled the diagnostic criteria for sepsis, defined as a confirmed or clinically suspected infection accompanied by infection-induced organ dysfunction, indicated by an increase in the Sequential Organ Failure Assessment (SOFA) score of &#x2265; 2. The site of infection was determined through a comprehensive review of the primary discharge diagnosis, chest radiography, abdominal ultrasonography, and microbiological culture results. Circulatory compromise was defined by the requirement for norepinephrine (NE) infusion as a vasoactive agent, while the need for mechanical ventilation (MV) indicated respiratory failure. Acute kidney injury (AKI) was identified by elevated serum creatinine levels or the requirement for hemofiltration (HF). Hematologic dysfunction was characterized by a platelet count &#x2264; 100 &#xd7; 10<sup>9</sup>/L, consistent with coagulopathy. Patients were excluded if they did not meet the diagnostic criteria for infection or if evidence of infection was present without any organ dysfunction.</p>
</sec>
<sec id="s2_2">
<title>Interventions and clinical management</title>
<p>Upon admission to the intensive care unit (ICU), specimens including blood, airway secretions, and drainage fluids were collected for microbial culture to identify infectious pathogens. Empirical antibiotic therapy was initiated based on clinical judgment and subsequently adjusted according to culture and sensitivity results. Patients presenting with septic shock underwent fluid resuscitation for hemodynamic stabilization; intravenous norepinephrine (NE) was administered when mean arterial pressure could not be maintained through fluid therapy alone. Oxygen supplementation was provided to patients with respiratory failure, and mechanical ventilation (MV) was implemented when necessary. For patients who developed acute kidney injury (AKI), continuous hemofiltration (HF) was performed at the discretion of the attending physician. Proton pump inhibitors were administered prophylactically to prevent stress-related mucosal damage. Acute hyperglycemia was managed through continuous intravenous insulin infusion to maintain blood glucose levels within a target range of 8&#x2013;10 mmol/L. Nutritional support included a high-calorie diet providing approximately 20 kcal/kg within the first week of ICU admission. Omega-3 fatty acid (&#x3a9;-3 FA) supplementation was administered as an intravenous 10% lipid emulsion (100 mL containing 10&#xa0;g refined fish oil; Fresenius Kabi SSPC, China). The emulsion was incorporated into parenteral nutrition and infused once daily. &#x3a9;-3 FA administration did not follow a fixed institutional protocol; initiation and continuation were determined by the treating ICU physician based on clinical judgment. Treatment was typically initiated early during ICU admission once nutritional support was established and continued throughout the ICU stay as tolerated. Treatment adherence was confirmed through daily medication and nutrition administration records.</p>
</sec>
<sec id="s2_3">
<title>Clinical and laboratory parameters</title>
<p>Demographic characteristics (age and gender), type and extent of organ failure, and organ support interventions were recorded for all patients. Clinical and biochemical indices of organ function and systemic inflammation including white blood cell count, neutrophil and lymphocyte counts, procalcitonin, and C-reactive protein (CRP) were collected from electronic medical records. Outcome measures included ICU mortality (primary endpoint), duration of mechanical ventilation (hours), and ICU length of stay (days). Patients requiring intravenous NE for hemodynamic support were categorized as &#x201c;NE needed,&#x201d; those requiring MV for respiratory failure were categorized as &#x201c;MV needed,&#x201d; and those undergoing HF for AKI were categorized as &#x201c;HF needed.&#x201d;</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>Continuous variables were expressed as mean &#xb1; standard deviation (SD) for normally distributed data and as medians with interquartile ranges (IQR) for non-normally distributed data. Between-group comparisons were performed using the student&#x2019;s <italic>t</italic>-test or Mann&#x2013;Whitney <italic>U</italic>-test, as appropriate. Categorical variables were summarized as frequencies and percentages and compared using the chi-square test. Patients were categorized into two groups based on whether they received intravenous omega-3 fatty acid (&#x3a9;-3 FA) supplementation. Covariates influencing sepsis prognosis identified from prior studies (<xref ref-type="bibr" rid="B22">Mendoza et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B17">Kim et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B33">Zhang et&#xa0;al., 2024</xref>) included age, organ failure, organ support measures (norepinephrine use, hemofiltration), comorbidities, lymphocyte count, and Sequential Organ Failure Assessment (SOFA) score. Additional covariates incorporated into the model included gender, primary diagnosis (pneumonia, abdominal infection, cholecystitis, urinary tract infection, or sepsis), C-reactive protein (CRP), and lymphocyte count.</p>
<p>To reduce confounding, propensity score matching (PSM) was applied to balance baseline characteristics between the &#x3a9;-3 FA group and the control group at a 1:2 ratio using optimal matching with a caliper width of 0.05 of the standard deviation of the logit of the propensity score. Propensity scores were estimated via logistic regression, and the MatchIt package in <italic>R</italic> was used for implementation. The quality of matching was assessed using standardized mean differences, linear models for continuous variables, and logistic models for binary variables. Cluster-robust standard errors and 95% confidence intervals (CIs) were computed using the vcovCL() function from the <italic>sandwich</italic> package. To further minimize bias, propensity score (PS) matching was performed using two approaches, designated as PS<sub>0</sub> and PS<sub>1</sub>, to assess comparability and estimate treatment effects between the &#x3a9;-3 FA and control groups.PS<sub>0</sub> matching included covariates such as age, abdominal infection, HF requirement, NE requirement, CRP, lymphocyte count, and SOFA score.PS1 matching incorporated the confounding factors corresponding to each clinical indicator. To further control for residual confounding, Inverse Probability of Treatment Weighting (IPTW) was performed using stabilized weights. Average Treatment Effect (ATE), Average Treatment Effect on the Treated (ATT), and Average Treatment Effect on the Control (ATC) were estimated. Weighted analyses were conducted using svyglm() for continuous and binary outcomes and coxph() for time-dependent survival outcomes. Missing covariate data were addressed using multiple imputation. For categorical variables, missing values were multiply imputed, while for continuous variables, imputation was performed using distribution-appropriate estimates (mean for normally distributed variables and median for skewed variables). Pooled estimates were obtained across more than five imputed datasets. Nonlinear relationships between covariates and outcomes were examined using Generalized Additive Models (GAMs), with the optimal degree of smoothness selected by minimizing the generalized cross-validation (GCV) score. The optimal model form (GAM or Generalized Linear Model [GLM]) was subsequently used for the final analyses. The optimal model structure (GAM or Generalized Linear Model, GLM) was then selected for subsequent analyses. Survival analysis was conducted using Kaplan&#x2014;Meier curves. To further investigated the effect of Omega-3 FA on clinical outcomes, death was considered as the endpoint, and the length of ICU stay was used as the time parameter. The groups were categorized based on the use of Omega-3 FA, and Kaplan-Meier (KM) curves were plotted. Differences between survival curves were compared using the log-rank test, and multivariable Cox proportional hazards models were employed to adjust for baseline differences. All statistical analyses were performed using EmpowerStats version 4.0 (X&amp;Y Solutions Inc., Boston, MA, USA) and R software version 4.0.4 (R Foundation for Statistical Computing, Vienna, Austria). A <italic>p</italic>-value&lt;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From December 2016 to July 2019, a total of 1997 patients were admitted to the Department of Intensive Care Medicine at Shenzhen People&#x2019;s Hospital. Among them, according to inclusion criteria and exclusion criteria, 1733 patients were included in the study. Of these patients, 1013 patients were male and 720 patients were female, with an average age of 61.76 years old,382 patients died, resulting in a mortality rate of 22.04% (refer to <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>). 492 patients with missing microbiological test were excluded, and 1241 patients included in the study. Matching was per-formed with the use of 1:2, a total of 633 patients were obtained. Among these, 211 cases were in the treatment group with Omega-3 fatty acid, and 422 cases were in the control group. The patient enrolment was illustrated in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref> comparative analysis of patient indicators between the two groups showed that the treatment group had a significantly higher mean age, a higher proportion of patients with abdominal infections, and a higher proportion of patients requiring hemofiltration therapy and norepinephrine to maintain blood pressure, C-reactive protein (CRP) levels increased and lymphocyte counts decreased, with higher Sequential Organ Failure assessment (SOFA) scores. The distribution of variables in the two groups is presented in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study cohort flowchart. ICU, intensive care unit.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1738204-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting patient selection from ICU admissions (December 2016 to July 2019, N=1997) for a study. After excluding those without sepsis (N=264) and with incomplete microbiological data (N=492), 1241 patients remain. Further exclusion of patients without a match (N=608) results in 633 patients, divided into a control group (N=422) and those treated with omega-3 fatty acid (N=211), both assessing mortality rates.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Distribution of baseline covariates by treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="left">Control group</th>
<th valign="middle" align="left">Omega-3 FA group</th>
<th valign="middle" align="left">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" style="">Case</td>
<td valign="middle" align="left" style="">422</td>
<td valign="middle" align="left" style="">211</td>
<td valign="middle" align="left" style="">-</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Gender</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.0952</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Male, case %</td>
<td valign="middle" align="left" style="">260 (61.6)</td>
<td valign="middle" align="left" style="">145 (68.7)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Female, case %</td>
<td valign="middle" align="left" style="">162 (38.4)</td>
<td valign="middle" align="left" style="">66 (31.3)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">AGE(y, M &#xb1; SD)</td>
<td valign="middle" align="left" style="">(422) 62.83 &#xb1; 20.12</td>
<td valign="middle" align="left" style="">(211) 66.54 &#xb1; 18.22</td>
<td valign="middle" align="left" style="">0.0246</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Pneumonia, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.3037</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">143 (33.9)</td>
<td valign="middle" align="left" style="">81 (38.4)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">279 (66.1)</td>
<td valign="middle" align="left" style="">130 (61.6)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Abdominal infection, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.0384</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">403 (95.5)</td>
<td valign="middle" align="left" style="">192 (91)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">19 (4.5)</td>
<td valign="middle" align="left" style="">19 (9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Biliary infection, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.9103</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">416 (98.6)</td>
<td valign="middle" align="left" style="">207 (98.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">6 (1.4)</td>
<td valign="middle" align="left" style="">4 (1.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Urinary infection, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.8739</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">418 (99.1)</td>
<td valign="middle" align="left" style="">210 (99.5)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">4 (0.9)</td>
<td valign="middle" align="left" style="">1 (0.5)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Septicemia, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.0777</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">343 (81.3)</td>
<td valign="middle" align="left" style="">158 (74.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">79 (18.7)</td>
<td valign="middle" align="left" style="">53 (25.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">MV needed, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.1496</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">135 (32)</td>
<td valign="middle" align="left" style="">55 (26.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">287 (68)</td>
<td valign="middle" align="left" style="">156 (73.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">HF needed, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.0121</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">323 (76.5)</td>
<td valign="middle" align="left" style="">141 (66.8)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">99 (23.5)</td>
<td valign="middle" align="left" style="">70 (33.2)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">NE needed, case %</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.035</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">229 (54.3)</td>
<td valign="middle" align="left" style="">95 (45)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">193 (45.7)</td>
<td valign="middle" align="left" style="">116 (55)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">WBC<break/>(x10<sup>9</sup>/L,M &#xb1; SD)</td>
<td valign="middle" align="left" style="">(422) 14.27 &#xb1; 9.41</td>
<td valign="middle" align="left" style="">(211) 13.61 &#xb1; 9.15</td>
<td valign="middle" align="left" style="">0.401</td>
</tr>
<tr>
<td valign="middle" align="left" style="">PCT (ng/ml, median)</td>
<td valign="middle" align="left" style="">1.58 (0.30, 11.28)</td>
<td valign="middle" align="left" style="">1.90 (0.49, 10.18)</td>
<td valign="middle" align="left" style="">0.364</td>
</tr>
<tr>
<td valign="middle" align="left" style="">CRP(mg/L,M &#xb1; SD)</td>
<td valign="middle" align="left" style="">(422) 105.64 &#xb1; 89.94</td>
<td valign="middle" align="left" style="">(211) 123.49 &#xb1; 94.31</td>
<td valign="middle" align="left" style="">0.021</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Lyphocyte counts<break/>(/ul, M &#xb1; SD)</td>
<td valign="middle" align="left" style="">(422) 1.13 &#xb1; 1.01</td>
<td valign="middle" align="left" style="">(211) 0.95 &#xb1; 0.98</td>
<td valign="middle" align="left" style="">0.037</td>
</tr>
<tr>
<td valign="middle" align="left" style="">SOFA (M &#xb1; SD)</td>
<td valign="middle" align="left" style="">(422) 9.87 &#xb1; 4.27</td>
<td valign="middle" align="left" style="">(211) 11.04 &#xb1; 4.44</td>
<td valign="middle" align="left" style="">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FA, fatty acids; MV, mechanical ventilation; HF, hemofiltration; NE, norepinephrine; WBC, white blood cell count; PCT, procalcitonin; CRP, C reactive protein; SOFA, sequence organ failure assessment.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Clinical outcome</title>
<p>In total, 69 deaths (32.7%) occurred in the Omega-3 fatty acid (&#x3a9;-3 FA) treatment group and 104 deaths (24.6%) in the control group, indicating a significantly higher crude mortality in the &#x3a9;-3 FA group (<italic>&#x3c7;&#xb2;</italic>&#xa0;=&#xa0;4.60, <italic>p</italic>&#xa0;=&#xa0;0.032). Both the duration of mechanical ventilation (MV, hours) and the length of ICU stay (days) were significantly longer among patients receiving &#x3a9;-3 FA compared with the control group (<italic>p</italic>&#xa0;&lt;&#xa0;0.001 for both; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>). These findings suggest that patients treated with &#x3a9;-3 FA were clinically more severe at baseline, necessitating longer ICU management and ventilatory support. These crude differences likely reflect baseline clinical severity, as patients receiving &#x3c9;-3 FA supplementation presented with significantly higher age, greater need for hemofiltration and norepinephrine support, elevated CRP, lower lymphocyte counts, and higher SOFA scores at admission, all of which are strong predictors of mortality.</p>
</sec>
<sec id="s3_2">
<title>Univariate and multivariate analysis</title>
<p>Univariate logistic regression analysis indicated that &#x3a9;-3 FA therapy exhibited a potential but statistically nonsignificant protective trend against sepsis-related mortality (<italic>p</italic> &gt; 0.05). In contrast, several clinical and biochemical variables demonstrated significant associations with mortality risk. Specifically, mortality increased by 1.4% with each additional year of age (<italic>p</italic>&#xa0;=&#xa0;0.002). Patients requiring norepinephrine (NE) to maintain hemodynamic stability exhibited a 61% higher mortality risk compared with those not requiring vasopressor support (<italic>p</italic>&#xa0;=&#xa0;0.006). Similarly, for every 1 mg/L increase in C-reactive protein (CRP) concentration, mortality rose by 0.2% (<italic>p</italic>&#xa0;=&#xa0;0.019). Moreover, each one-point increment in the SOFA score corresponded to a 12.7% increase in mortality (<italic>p</italic>&#xa0;&lt;&#xa0;0.001) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref><bold>).</bold> After adjusting for confounding covariates&#x2014;including age, requirement for hemofiltration (HF), NE use, CRP level, lymphocyte count, SOFA score, and abdominal infection&#x2014;the multivariate logistic regression revealed that the protective effect of &#x3a9;-3 FA became statistically significant (HR&#xa0;=&#xa0;0.600, 95% CI 0.428&#x2013;0.828; <italic>p</italic>&#xa0;=&#xa0;0.003) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>4</bold></xref><bold>).</bold></p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate analysis for treatment and covariates.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Exposure</th>
<th valign="middle" align="left">Statistics</th>
<th valign="middle" align="left">Death</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="3" align="left" style="">Omega-3 FA supplement</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">422 (66.667%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">211 (33.333%)</td>
<td valign="middle" align="left" style="">0.740 (0.539, 1.015) 0.0616</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Gender</th>
</tr>
<tr>
<td valign="middle" align="left" style="">Male</td>
<td valign="middle" align="left" style="">405 (63.981%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Female</td>
<td valign="middle" align="left" style="">228 (36.019%)</td>
<td valign="middle" align="left" style="">1.364 (0.995, 1.869) 0.0534</td>
</tr>
<tr>
<td valign="middle" align="left" style="">AGE</td>
<td valign="middle" align="left" style="">64.070 &#xb1; 19.570</td>
<td valign="middle" align="left" style="">1.014 (1.005, 1.023) 0.0018</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Pneumonia</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">224 (35.387%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">409 (64.613%)</td>
<td valign="middle" align="left" style="">0.998 (0.732, 1.361) 0.9907</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Abdominal infection</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">595 (93.997%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">38 (6.003%)</td>
<td valign="middle" align="left" style="">0.995 (0.465, 2.129) 0.9890</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Biliary infection</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">623 (98.420%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">10 (1.580%)</td>
<td valign="middle" align="left" style="">0.925 (0.229, 3.734) 0.9131</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Urinary infection</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">628 (99.210%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">5 (0.790%)</td>
<td valign="middle" align="left" style="">1.890 (0.467, 7.641) 0.3718</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">Septicemia</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">501 (79.147%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">132 (20.853%)</td>
<td valign="middle" align="left" style="">1.011 (0.728, 1.405) 0.9468</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">MV needed</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">190 (30.016%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">443 (69.984%)</td>
<td valign="middle" align="left" style="">1.176 (0.755, 1.831) 0.4732</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">HF needed</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">464 (73.302%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">169 (26.698%)</td>
<td valign="middle" align="left" style="">1.296 (0.955, 1.757) 0.0960</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left" style="">NE needed</th>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">324 (51.185%)</td>
<td valign="middle" align="left" style="">1.0</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">309 (48.815%)</td>
<td valign="middle" align="left" style="">1.611 (1.146, 2.264) 0.0060</td>
</tr>
<tr>
<td valign="middle" align="left" style="">WBC</td>
<td valign="middle" align="left" style="">14.046 &#xb1; 9.321</td>
<td valign="middle" align="left" style="">0.988 (0.971, 1.005) 0.1709</td>
</tr>
<tr>
<td valign="middle" align="left" style="">PCT</td>
<td valign="middle" align="left" style="">13.700 &#xb1; 30.568</td>
<td valign="middle" align="left" style="">1.006 (0.998, 1.014) 0.1721</td>
</tr>
<tr>
<td valign="middle" align="left" style="">CRP</td>
<td valign="middle" align="left" style="">111.588 &#xb1; 91.734</td>
<td valign="middle" align="left" style="">1.002 (1.000, 1.003) 0.0189</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Lymphocyte counts</td>
<td valign="middle" align="left" style="">1.070 &#xb1; 1.001</td>
<td valign="middle" align="left" style="">0.917 (0.776, 1.083) 0.3080</td>
</tr>
<tr>
<td valign="middle" align="left" style="">SOFA</td>
<td valign="middle" align="left" style="">10.261 &#xb1; 4.361</td>
<td valign="middle" align="left" style="">1.127 (1.089, 1.167) &lt;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results in table: &#x3b2; (95%CI) P value / OR (95%CI) <italic>P</italic> value.</p></fn>
<fn>
<p>FA, fatty acids; HE, hemofiltration; NE, norepinephrine; WBC, white blood cell counts; PCT, procalcitonin; CRP, C-reactive protein; SOFA, sequence organ failure assessment.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Following PS<sub>0</sub> matching, no significant baseline differences were observed between the treatment and control groups (<italic>p</italic> &gt; 0.05 for all indices). After PS<sub>1</sub> matching, only abdominal infection remained significantly different between the two groups (<italic>p</italic>&#xa0;=&#xa0;0.005), while other variables were comparable (<italic>p</italic> &gt; 0.05) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref><bold>).</bold> Importantly, the protective effect of &#x3a9;-3 FA on mortality remained consistent across both PS<sub>0</sub> and PS<sub>1</sub> models using different matching algorithms. Before adjusting for all covariates, the crude HR value was 0.597, with 95% CI 0.539-1.015, and the <italic>P</italic> value was 0.0616. When adjusting for all relevant confounders, &#x3a9;-3 FA therapy continued to demonstrate a significant protective effect in multivariate models (HR&#xa0;=&#xa0;0.597, 95% CI 0.430&#x2013;0.840; <italic>p</italic>&#xa0;=&#xa0;0.003) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;4</bold></xref><bold>).</bold> Under PS<sub>0</sub> matching, the average treatment effect on the treated (ATT) revealed a hazard ratio (HR) of 0.473 (95% CI 0.338&#x2013;0.662, <italic>p</italic>&#xa0;&lt;&#xa0;0.001), indicating that &#x3a9;-3 FA significantly reduced mortality among treated patients. The average treatment effect on the controls (ATC) was also significant (HR&#xa0;=&#xa0;0.565, 95% CI 0.366&#x2013;0.873, <italic>p</italic>&#xa0;=&#xa0;0.010), suggesting that patients in the control group would likely have benefited from &#x3a9;-3 FA treatment. When evaluating the average treatment effect (ATE) across all patients, &#x3a9;-3 FA maintained a significant protective association with mortality (HR&#xa0;=&#xa0;0.568, 95% CI 0.385&#x2013;0.838, <italic>p</italic>&#xa0;=&#xa0;0.004). Similarly, the analysis matched according to PS<sub>1</sub> confirmed the significant protective effect of &#x3a9;-3 FA therapy (<italic>p</italic>&#xa0;&lt;&#xa0;0.05) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref><bold>).</bold> The ATT, ATC, and ATE estimates derived using inverse probability of treatment weighting (IPTW) further reinforced the robustness of these findings, consistently indicating a mortality-reducing benefit of &#x3a9;-3 FA supplementation (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref><bold>).</bold> The corresponding weight distributions utilized in IPTW are provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;5</bold></xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Balance report after PS Match (using ATE weights).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="left">Control group</th>
<th valign="middle" align="left">Omega-3 FA<sup>*</sup> group</th>
<th valign="middle" align="left">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left" style="">Match PS0</th>
</tr>
<tr>
<td valign="middle" align="left" style="">Age</td>
<td valign="middle" align="left" style="">63.4083 &#xb1; 19.8017</td>
<td valign="middle" align="left" style="">64.8289 &#xb1; 19.5367</td>
<td valign="middle" align="left" style="">0.3911</td>
</tr>
<tr>
<td valign="middle" align="left" style="">CRP</td>
<td valign="middle" align="left" style="">111.4508 &#xb1; 91.1213</td>
<td valign="middle" align="left" style="">114.1595 &#xb1; 96.4267</td>
<td valign="middle" align="left" style="">0.7346</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Lymphocyte counts</td>
<td valign="middle" align="left" style="">1.1151 &#xb1; 1.0423</td>
<td valign="middle" align="left" style="">1.1168 &#xb1; 1.0087</td>
<td valign="middle" align="left" style="">0.9843</td>
</tr>
<tr>
<td valign="middle" align="left" style="">SOFA score</td>
<td valign="middle" align="left" style="">10.5001 &#xb1; 4.4985</td>
<td valign="middle" align="left" style="">10.0982 &#xb1; 4.1859</td>
<td valign="middle" align="left" style="">0.2674</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ps0</td>
<td valign="middle" align="left" style="">0.3331 &#xb1; 0.1056</td>
<td valign="middle" align="left" style="">0.3337 &#xb1; 0.1073</td>
<td valign="middle" align="left" style="">0.9453</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ps1</td>
<td valign="middle" align="left" style="">0.3325 &#xb1; 0.0969</td>
<td valign="middle" align="left" style="">0.3338 &#xb1; 0.1007</td>
<td valign="middle" align="left" style="">0.8794</td>
</tr>
<tr>
<td valign="middle" align="left" style="">HF needed</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.8613</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.71</td>
<td valign="middle" align="left" style="">0.72</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.29</td>
<td valign="middle" align="left" style="">0.28</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">NE needed</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.3197</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.49</td>
<td valign="middle" align="left" style="">0.53</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.51</td>
<td valign="middle" align="left" style="">0.47</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Abdominal infection</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.8975</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.94</td>
<td valign="middle" align="left" style="">0.94</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.06</td>
<td valign="middle" align="left" style="">0.06</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" colspan="4" align="left" style="">Match PS1</th>
</tr>
<tr>
<td valign="middle" align="left" style="">Age</td>
<td valign="middle" align="left" style="">63.9224 &#xb1; 19.6981</td>
<td valign="middle" align="left" style="">64.9234 &#xb1; 18.9222</td>
<td valign="middle" align="left" style="">0.5364</td>
</tr>
<tr>
<td valign="middle" align="left" style="">CRP</td>
<td valign="middle" align="left" style="">112.5213 &#xb1; 92.7504</td>
<td valign="middle" align="left" style="">110.0239 &#xb1; 93.1505</td>
<td valign="middle" align="left" style="">0.7503</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Lymphocyte counts</td>
<td valign="middle" align="left" style="">1.0537 &#xb1; 0.9622</td>
<td valign="middle" align="left" style="">1.0508 &#xb1; 0.9982</td>
<td valign="middle" align="left" style="">0.9722</td>
</tr>
<tr>
<td valign="middle" align="left" style="">SOFA score</td>
<td valign="middle" align="left" style="">10.3206 &#xb1; 4.3847</td>
<td valign="middle" align="left" style="">10.0850 &#xb1; 4.3506</td>
<td valign="middle" align="left" style="">0.5222</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ps0</td>
<td valign="middle" align="left" style="">0.3307 &#xb1; 0.1045</td>
<td valign="middle" align="left" style="">0.3415 &#xb1; 0.1091</td>
<td valign="middle" align="left" style="">0.2368</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ps1</td>
<td valign="middle" align="left" style="">0.3328 &#xb1; 0.0979</td>
<td valign="middle" align="left" style="">0.3341 &#xb1; 0.1011</td>
<td valign="middle" align="left" style="">0.8770</td>
</tr>
<tr>
<td valign="middle" align="left" style="">HF needed</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.8720</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.74</td>
<td valign="middle" align="left" style="">0.74</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.26</td>
<td valign="middle" align="left" style="">0.26</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">NE needed</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.9664</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.50</td>
<td valign="middle" align="left" style="">0.51</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.50</td>
<td valign="middle" align="left" style="">0.49</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Abdominal infection</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">0.0053</td>
</tr>
<tr>
<td valign="middle" align="left" style="">No</td>
<td valign="middle" align="left" style="">0.95</td>
<td valign="middle" align="left" style="">0.89</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Yes</td>
<td valign="middle" align="left" style="">0.05</td>
<td valign="middle" align="left" style="">0.11</td>
<td valign="middle" align="left" style=""/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Omega-3 FA: Omega-3 fatty acid.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Average therapeutic benefits of the treatment group and the control group after PS0 and PS1 were used to match the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">Death</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="2" align="left">Match PS0<sup>&#x2020;</sup></th>
</tr>
<tr>
<td valign="middle" align="left" style="">ATT</td>
<td valign="middle" align="left" style="">0.473 (0.338, 0.662) &lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATC</td>
<td valign="middle" align="left" style="">0.565 (0.366, 0.873) 0.0102</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATE</td>
<td valign="middle" align="left" style="">0.568 (0.385, 0.838) 0.0044</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Match PS1<sup>&#x2020;&#x2020;</sup></th>
</tr>
<tr>
<td valign="middle" align="left" style="">ATT</td>
<td valign="middle" align="left" style="">0.619 (0.441, 0.868) 0.0055</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATC</td>
<td valign="middle" align="left" style="">0.665 (0.438, 1.009) 0.0550</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATE</td>
<td valign="middle" align="left" style="">0.654 (0.459, 0.933) 0.0193</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results in table: HR (95%CI) P value. Cluster-robust standard errors <sup>11</sup> were applied for calculating 95% CI.</p></fn>
<fn>
<p><sup>&#x2020;</sup>Match PS0: propensity score calculated with age, abdominal infection, HF needed, NE needed, CRP, lymphocyte count, and SOFA score.</p></fn>
<fn>
<p><sup>&#x2020;&#x2020;</sup>Match PS1: propensity score calculated by confounders.</p></fn>
<fn>
<p>Confounders: Age, HF needed, NE needed, CRP(smooth), Lymphocyte counts (smooth), SOFA(smooth). ATT, average treatment effect for treated; ATC: average treatment effect for control; ATE, average treatment effect for all.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Estimate of treatment effects using IPTW.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">IPW using PS0</th>
<th valign="middle" align="left">Death</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" style="">ATT</td>
<td valign="middle" align="left" style="">Robust CI: 0.580 (0.420, 0.800) 0.0009;<break/>Survey Wald CI: 0.580 (0.420, 0.800) 0.0009</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATC</td>
<td valign="middle" align="left" style="">Robust CI: 0.715 (0.507, 1.007) 0.0545;<break/>Survey Wald CI: 0.715 (0.507, 1.007) 0.0545</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATE</td>
<td valign="middle" align="left" style="">Robust CI: 0.665 (0.480, 0.921) 0.0140;<break/>Survey Wald CI: 0.665 (0.480, 0.921) 0.0140</td>
</tr>
<tr>
<td valign="middle" align="left" style="">IPW using PS1</td>
<td valign="middle" align="left" style="">DEATH</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATT</td>
<td valign="middle" align="left" style="">Robust CI: 0.604 (0.438, 0.831) 0.0020;<break/>Survey Wald CI: 0.604 (0.438, 0.831) 0.0020</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATC</td>
<td valign="middle" align="left" style="">Robust CI: 0.696 (0.493, 0.983) 0.0398;<break/>Survey Wald CI: 0.696 (0.493, 0.983) 0.0398</td>
</tr>
<tr>
<td valign="middle" align="left" style="">ATE</td>
<td valign="middle" align="left" style="">Robust CI: 0.664 (0.479, 0.921) 0.0141;<break/>Survey Wald CI: 0.664 (0.479, 0.921) 0.0141</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results in table: HR (95%CI) P value. IPTW: inverse probability of treatment weighting using the propensity score.</p></fn>
<fn>
<p>PS0: propensity score calculated by Age, HF needed, NE needed, CRP(smooth), Lymphocyte counts (smooth), SOFA(smooth), Abdominal infection. Confounders: Age, HF needed, NE needed, CRP(smooth), Lymphocyte counts (smooth), SOFA(smooth). PS1: propensity score calculated by confounders: Age, HF needed, NE needed, CRP(smooth), Lymphocyte counts (smooth), SOFA(smooth).</p></fn>
<fn>
<p>ATT, average treatment effect for treated; ATC, average treatment effect for control; ATE, average treatment effect for all.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Survival analysis</title>
<p>To further investigated the effect of Omega-3 FA on clinical outcomes, death was considered as the endpoint, and the length of ICU stay was used as the time parameter.</p>
<p>The groups were categorized based on the use of Omega-3 FA, and the Kaplan-Meier (KM) curves of the two groups were overlapped, indicating no significant difference between them (<italic>p</italic>&#xa0;=&#xa0;0.058). The KM curve demonstrated that the benefit of Omega-3 FA treatment primarily occurred in the later stages (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref>). Upon comparing the results of the two groups in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, the KM curve was adjusted for age, abdominal infection, HF requirement, NE requirement, CRP levels, and lymphocyte count. The adjusted curve showed a statistically significant difference between the two groups (<italic>p</italic>&#xa0;=&#xa0;0.038), diverging from the KM curve generated by the original data. The adjusted curve suggested that the Omega-3 FA treatment group had better clinical outcomes (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Multivariate analysis indicated that age, CRP levels, and the NE needed to maintain blood pressure had a negative impact on the effectiveness of Omega-3 FA in sepsis treatment (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). The results of multivariate analysis for each factor can be found in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;6</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Adjusted Kaplan-Meier curve. <bold>(A)</bold> the KM curve was adjusted for age, abdominal infection, HF requirement, NE requirement, CRP, and lymphocyte count. <bold>(B)</bold> Multivariate analysis indicated that age, CRP, and the NE needed to maintain blood pressure had a negative impact on the effectiveness of Omega-3 FA in sepsis treatment. HF, hemofiltration; NE, norepinephrine; CRP, C-reactive protein.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1738204-g002.tif">
<alt-text content-type="machine-generated">Panel A shows survival curves for ICU stay, comparing control and Omega-3 FA groups with 95% confidence intervals. Panel B is a forest plot with hazard ratios for variables like Omega-3 FA, age, CRP, highlighting significant p-values for Omega-3 FA, age, and NE needed.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Sepsis is a life-threatening clinical syndrome characterized by a dysregulated host response to infection, leading to profound and potentially fatal organ dysfunction (<xref ref-type="bibr" rid="B16">Kamath et&#xa0;al., 2023</xref>). Throughout this process, patients go through various stages, such as excessive inflammatory responses and immunosuppression. Despite active treatment, the mortality rate associated with sepsis is alarmingly high (<xref ref-type="bibr" rid="B26">Rudd et&#xa0;al., 2018</xref>). Finding new treatment methods is of significant value for sepsis. Omega-3 fatty acids are considered a potentially effective therapy. The expert consensus in USA recommends that for patients with sepsis who require parenteral nutrition, fish oil fat emulsion can be administered (<xref ref-type="bibr" rid="B23">Mundi et&#xa0;al., 2021</xref>). As the human body lacks the enzymes required for their synthesis, Omega-3 fatty acids are considered essential and must be acquired through dietary sources like fish oil (10g, Fresenius Kabi SSPC). The main physiological function of Omega-3 fatty acids is to regulate the body&#x2019;s inflammatory response, alleviate immune suppression, thereby reducing tissue and organ damage, and improving prognosis (<xref ref-type="bibr" rid="B5">Calder, 2019</xref>; <xref ref-type="bibr" rid="B32">Zaloga, 2021</xref>; <xref ref-type="bibr" rid="B24">Notz et&#xa0;al., 2022a</xref>). The use of polyunsaturated FA in sepsis has a long history but it has been accompanied by significant controversy (<xref ref-type="bibr" rid="B13">Heller et&#xa0;al., 2011</xref>). Early randomized controlled trials suggested that fish oil did not confer any protective effects on organ failure in sepsis patients (<xref ref-type="bibr" rid="B31">Wohlmuth et&#xa0;al., 2010</xref>). However, other studies had indicated that fish oil may indeed have a beneficial effect on organ failure in sepsis patients (<xref ref-type="bibr" rid="B12">Hall et&#xa0;al., 2015</xref>). More and more positive evidences support the use of omega-3 FA in critically ill patients in the ICU (<xref ref-type="bibr" rid="B27">Singer and Calder, 2023</xref>). Several clinical studies have reported the efficacy of Omega-3 fatty acids in organ protection in sepsis. FA has been found to benefit various organ functions in sepsis patients. For instance, FA can inhibit excessive apoptosis of cardiomyocytes and improve myocardial damage in sepsis patients (<xref ref-type="bibr" rid="B8">Chen et&#xa0;al., 2023</xref>). Additionally, inhibiting the inflammatory response can have a protective effect on cardiomyocytes (<xref ref-type="bibr" rid="B4">Busch et&#xa0;al., 2021</xref>).FA can inhibit inflammation, improve lymphocyte immune function and reduce mortality in patients with sepsis induced intestinal failure (<xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2017</xref>).The study also found that indicators of liver function improved in patients with septic liver failure who received fish oil treatment (<xref ref-type="bibr" rid="B2">Badia-Tahull et&#xa0;al., 2015</xref>). Furthermore, liver disease induced by intestinal failure can benefit from Omega-3 FA, which act as anti-inflammatory agents and can reverse cholestasis (<xref ref-type="bibr" rid="B3">Bolia and Srivastava, 2019</xref>). For patients with acute lung injury, enteral nutrition formula rich inomega-3 PUFAs has positive effects on shortening mechanical ventilation time and reducing mortality (<xref ref-type="bibr" rid="B28">Singer et&#xa0;al., 2006</xref>). In sepsis patients with COVID-19, Omega-3 FA have demonstrated anti-inflammatory effects and can significantly reduce mortality (<xref ref-type="bibr" rid="B9">Erdem et&#xa0;al., 2023</xref>).Meta-analysis has shown that FA can reduce the 28-day mortality in severe patients (<xref ref-type="bibr" rid="B24">Notz et&#xa0;al., 2022a</xref>). However, the studies were mostly clinical trials rather than real-world studies.</p>
<p>To better assess the efficacy of omega-3 fatty acids in real-world medical settings, we conducted a retrospective review of data from 1,733 patients with sepsis, performing a real-world study. After excluding patients without pathogenic microbiome record and using propensity score matching, a total of 633 patients (422 controls and 211 treated) were included in the study. The mortality was 24.64% in the control group and 32.7% in the Omega-3 FA treatment group. The mortality of the treatment group was higher than that of the control group, which was different from previous research results (<xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2017</xref>),and there were significant differences in age, HF needed, NE needed, CRP, lymphocyte count, SOFA score and abdominal infection between the two groups. Although the crude mortality was higher in the &#x3c9;-3 FA group, this finding reflects marked baseline imbalances rather than treatment harm. Patients receiving &#x3c9;-3 FA supplementation were older and exhibited greater disease severity, including higher SOFA scores, more frequent hemofiltration and norepinephrine use, and higher inflammatory burden at ICU admission. These factors are independently associated with increased mortality in sepsis and likely biased the unadjusted comparison. After rigorous adjustment using multivariable models, propensity score matching, and IPTW to balance these prognostic indicators, &#x3c9;-3 FAs consistently demonstrated a significant protective association with mortality, indicating that the crude unfavorable pattern primarily resulted from confounding. The study is a retrospective real-world study with data from hospital medical records. It is difficult to fully control and adjust confounding factors for patients entering the study based on their actual conditions. Previous studies have shown that the mortality of sepsis patients was significantly correlated with age, sofa score, infection site and other factors (<xref ref-type="bibr" rid="B17">Kim et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B33">Zhang et&#xa0;al., 2024</xref>).In the intensive care unit (ICU), critically ill patients necessitate increased equipment or medication support, indicating a more severe condition (<xref ref-type="bibr" rid="B11">Frank et&#xa0;al., 2021</xref>).One study identified age, Sequential Organ Failure Assessment (SOFA) score, use of vasopressors, and mechanical ventilation as independent risk factors for mortality (<xref ref-type="bibr" rid="B20">Liu et&#xa0;al., 2022</xref>).The above factors may affect the efficacy of Omega-3 fatty acids. So, we further performed univariate logistic regression analysis, and the statistical results showed that multiple factors, such as age, CRP, NE needed, etc, were significantly correlated with the mortality of patients with sepsis. After adjusting for age, HF needed, NE needed, CRP, lymphocyte count, SOFA score, and presence or absence of abdominal infection, multivariate logistic regression analysis showed that the protective effect of Omega-3 FA became apparent (HR 0.600, 95% CI 0.428, 0.828; <italic>p</italic>&#xa0;=&#xa0;0.003). After adjustment, &#x3c9;-3 FA supplementation was associated with a 35&#x2013;45% relative reduction in mortality risk, which represents a clinically meaningful effect size in the context of sepsis, where even modest survival improvements are highly impactful. In addition, we found that age, CRP levels, and NE needed negatively affect the effectiveness of Omega-3 FA in treating sepsis. Age, CRP, and NE needed are key factors affecting the efficacy of Omega-3 FA.</p>
<p>According to the results of univariate logistic regression analysis and multivariate logistic regression analysis, we optimized the matching model in the follow-up study, and adopted IPTW to control confounding factors. The results showed that Omega-3 fatty acids had a good effect on reducing the mortality of sepsis, and the clinical consistency was good. After adjusting the survival curve with the aforementioned indicators, the survival analysis results show that Omega-3 fatty acids have a protective effect on the prognosis of sepsis. Previous clinical studies have mostly come from randomized controlled trials (RCTS), which tend to be conducted in specific populations, which may lead to limited application of the findings in practice. At the same time, there are many factors affecting the prognosis of sepsis, and it is difficult to explain the effect of single therapy only by direct comparison. Our study is the first real world study of Omega-3 fatty acids for sepsis; The significance of this study is the combination of Propensity Score Matching (PSM) and Inverse Probability of Treatment Weighting (IPTW). By controlling confounding variables and balancing the difference in baseline characteristics between different groups, the effect of randomized controlled trials was simulated to a certain extent, so as to estimate the treatment effect more accurately and obtain the average efficacy of treatment with Omega-3 fatty acids in the treatment group and the hypothetical control group. The study results suggest that the protective effect of Omega-3 fatty acids on mortality is consistent. It can better guide the clinical application of Omega-3 fatty acids. Therefore, based on the mechanism and clinical evidence, it was evident that Omega-3 FA had beneficial effects on inflammation reduction, organ protection, and cellular immunity in sepsis (<xref ref-type="bibr" rid="B25">Rosenthal et&#xa0;al., 2021</xref>). Although this study was conducted in a single-center retrospective real-world setting, this design also allowed evaluation of &#x3c9;-3 FA therapy under routine clinical practice conditions, enhancing its clinical relevance. Because treatment was physician-directed rather than protocol-based, patients receiving &#x3c9;-3 FA tended to be clinically more severe at baseline. While this inevitably introduced treatment-indication bias, it also provided an opportunity to assess potential benefit in high-risk patients. Advanced analytical approaches including multivariable adjustment, propensity score matching, and IPTW were applied to minimize confounding, and the consistency of results across multiple models strengthens confidence in the observed association, although causality cannot be definitively inferred. &#x3c9;-3 FA administration occurred as part of parenteral nutrition, meaning treatment timing, duration, and cumulative dose varied naturally across patients. Rather than being a limitation alone, this reflects real-world heterogeneity and demonstrates applicability of findings to diverse ICU scenarios. Similarly, while inflammatory biomarkers such as cytokines were unavailable, routinely monitored indicators (CRP, PCT, WBC) still supported clinically meaningful biological plausibility. Immortal-time bias cannot be fully excluded because &#x3c9;-3 FA typically began after stabilization; however, this reflects real-world constraints of nutrition initiation rather than methodological weakness. Importantly, these real-world observations generated a coherent signal suggesting that &#x3c9;-3 FA use is associated with improved adjusted survival despite the treated group being initially sicker, highlighting meaningful clinical potential. Moving forward, multicenter prospective studies incorporating standardized treatment protocols, time-dependent exposure modeling, detailed nutritional assessment, and immune biomarker profiling will be valuable to validate these findings, better characterize biological mechanisms, and refine patient selection. Such studies will help translate this promising real-world evidence into optimized therapeutic strategies.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This retrospective analysis explored the link between &#x3c9;-3 fatty acid supplementation and outcomes in sepsis patients. Omega-3 fatty acid supplementation was associated with reduced adjusted ICU mortality in sepsis; the study demonstrates that intravenous administration of &#x3c9;-3 fatty acids confers a protective effect on mortality among ICU patients with sepsis after adjustment for confounding factors. These findings support the immunomodulatory and pro-resolving potential of &#x3c9;-3 FA and justify their inclusion as an adjunctive therapeutic strategy in sepsis management. this conclusion was tempered by two key factors: the inherent limitations of the retrospective design, which preclude ruling out unmeasured confounding variables, and the higher crude mortality rate observed in the treatment group. Further confirmation requires well-powered prospective randomized controlled trials to clarify the efficacy, optimal dosage, and administration timing of &#x3c9;-3 fatty acids for sepsis.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CH: Data curation, Methodology, Conceptualization, Writing &#x2013; original draft. JX: Writing &#x2013; review &amp; editing, Formal analysis, Data curation. ZL: Visualization, Software, Writing &#x2013; review &amp; editing, Formal analysis. YC: Methodology, Validation, Investigation, Writing &#x2013; review &amp; editing. KH: Resources, Writing &#x2013; review &amp; editing, Supervision, Investigation. WW: Formal analysis, Validation, Writing &#x2013; review &amp; editing. HC: Project administration, Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<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&#xa0;you identify any issues, please contact us.</p></sec>
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<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/fcimb.2025.1738204/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1738204/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff"/>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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