{"title":"脓毒症患者氧合状态与预后的关系","authors":"Lihong Zhu, Juan Lin","doi":"10.1186/s13054-024-05201-w","DOIUrl":null,"url":null,"abstract":"<p>We read with great interest the recent study [1] which investigated whether a relatively high arterial oxygen tension (PaO<sub>2</sub>) is associated with improved survival rate in sepsis compared to conservative oxygenation targets. After propensity score matching (PSM), 2422 patients evenly distributed between the liberal and conservative oxygen groups. The findings indicated that a higher PaO<sub>2</sub> (≥ 80 mmHg) during the first three days in ICU was associated with lower 28-day mortality. While these results contribute significantly to the field of critical care medicine, several aspects require further clarification.</p><p>The study reported a significant reduction in 28-day mortality in the liberal group compared to the conservative group. However, according to the supplementary materials, we noted that the difference in mortality primarily occurred by day 7, with mortality rates of 14.3% in the liberal group compared to 6.9% in the conservative group—a reduction of approximately 7.4%. Interestingly, after day 7, the difference in mortality between the two groups appeared to stabilize, remaining at around 7% on day 14 (17.9% vs. 10.4%) and day 28 (22.5% vs. 14.8%), or even small on day 90 (31.3% vs. 27.0%). This pattern raises the question of whether the mortality benefit associated with higher oxygenation is predominantly a short-term effect or it still has more enduring implications. Also, it remains unclear whether this short-term mortality effect is directly attributable to differences in oxygenation status or whether it might be influenced by other confounding factors (e.g., patients who died within 7 days might be more likely due to disease severity), which highlighted the need for further analyses to better understand the reason for the observed mortality benefit and to explore its underlying mechanisms.</p><p>In addition, although PSM is a robust method for balancing measured covariates, it has its own limitations [2]. For instance, in this study, almost half of the patients were excluded during propensity score matching (PSM). By excluding a large proportion of study patients, PSM may reduce the representativeness of the sample and limit the generalizability of the findings. Moreover, while PSM adjusts for known confounders, it does not address potential unmeasured confounders, which may still significantly influence the observed outcomes [3]. For example, it remains unclear whether the observed differences in 7-day mortality rates between the liberal group and the conservative group are attributable to unmeasured confounders. Therefore, future analyses incorporating sensitivity analyses or analyses of the entire cohort may provide a more comprehensive evaluation of the robustness of these findings.</p><p>In the subgroup analysis, authors reported that higher oxygenation levels were associated with a reduced 28-day mortality risk in the following populations: males, hospital-acquired sepsis, vasopressors, mechanical ventilation, acute respiratory distress syndrome, or lactate ≥ 4 mmol/L. However, the absence of reported <i>p</i>-values for interaction effects significantly limits the interpretability of these subgroup analyses. Without <i>p</i>-values for interaction, it is difficult to determine whether the differences observed across subgroups are statistically significant or merely reflect random sampling error. Furthermore, a substantial overlap in confidence intervals across subgroups suggests that the effects of higher oxygenation may not differ significantly among these groups. Reporting p-values for interaction effects would help clarify whether the mortality benefits of higher oxygenation are consistent across subgroups or if they are concentrated in specific patient subsets.</p><p>The study employed a competing risk model to evaluate the relationship between oxygenation and ICU discharge, treating ICU discharge as the primary outcome and 28-day mortality as a competing event. While competing risk models are valuable tools in survival analysis, their application in this context warrants more careful consideration. The assumption underlying competing risk models is that the primary outcome and the competing event are mutually exclusive and independent, such as acute kidney injury and death. However, in critically ill patients, ICU discharge and 28-day mortality may not meet these criteria. Actually, when using ICU discharge as a positive outcome, the negative outcome is the inability to be discharged from the ICU, with death as the primary cause. This interdependence between ICU discharge and mortality challenges the validity of the model's assumptions and may lead to biased estimates of the effect of oxygenation on discharge outcomes.</p><p>The study also utilized restricted cubic spline (RCS) regression to explore the relationship between PaO<sub>2</sub> levels and mortality. While RCS is an effective tool for modeling non-linear relationships, several points should be noted. In RCS analyses, the optimal reference point is typically chosen based on inflection points in the RCS graph, as these points offer the greatest clinical relevance and statistical interpretability. However, in this study, the selected reference point did not align with the inflection points, which increases the difficulty of interpreting the results. Additionally, the RCS analysis in this study was limited to the propensity score-matched cohort, excluding patients who were not included in the matching process. This limitation may hinder a comprehensive understanding of the relationship between PaO<sub>2</sub> and mortality. Expanding the analysis to include the full dataset could provide a more complete picture of the impact of oxygenation on all critically ill sepsis patients, thereby enhancing the generalizability of the findings.</p><p>Oxygen therapy is a cornerstone of ICU management, with optimal target still under debate [4]. The study’s results suggest that liberal oxygenation may confer a survival benefit, at least in the short term. However, the questions raised in this letter underscore the complexity of this issue and the need for further research to explore how oxygenation strategies affect outcomes in sepsis patients.</p><p>Dr. Hyun et al.’s study represents a valuable contribution by highlighting the potential benefits of liberal oxygenation in sepsis. We commend the authors for their rigorous investigation and encourage further studies to build upon these findings. Thank you for considering our comments on this compelling work.</p><p>Not applicable.</p><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Hyun DG, Ahn JH, Huh JW, Hong SB, Koh Y, Oh DK, Lee SY, Park MH, Lim CM. Korean sepsis alliance I: the association of arterial partial oxygen pressure with mortality in critically ill sepsis patients: a nationwide observational cohort study. Crit Care. 2024;28(1):187.</p><p>Article PubMed PubMed Central Google Scholar </p></li><li data-counter=\"2.\"><p>Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46(3):399–424.</p><p>Article Google Scholar </p></li><li data-counter=\"3.\"><p>Li L, Shen C, Wu AC, Li X. Propensity score-based sensitivity analysis method for uncontrolled confounding. Am J Epidemiol. 2011;174(3):345–53.</p><p>Article CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\"4.\"><p>Girardis M, Busani S, Damiani E, Donati A, Rinaldi L, Marudi A, Morelli A, Antonelli M, Singer M. Effect of conservative vs conventional oxygen therapy on mortality among patients in an intensive care unit: the oxygen-ICU randomized clinical trial. JAMA. 2016;316(15):1583–9.</p><p>Article CAS PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>Not applicable.</p><p>None.</p><h3>Authors and Affiliations</h3><ol><li><p>Department of Intensive Care, Zhejiang Hospital, No.1229, Gudun-Road, Hangzhou, 310013, Zhejiang, China</p><p>Lihong Zhu & Juan Lin</p></li></ol><span>Authors</span><ol><li><span>Lihong Zhu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Juan Lin</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>Lihong Zhu wrote the letter, Juan Lin Raised the question. All authors have reviewed and approved the letter.</p><h3>Corresponding author</h3><p>Correspondence to Juan Lin.</p><h3>Ethics approval and consent to participate</h3>\n<p>Not applicable.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>None.</p><h3>Publisher's Note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\" width=\"57\"/><h3>Cite this article</h3><p>Zhu, L., Lin, J. Associations between oxygenation status and prognosis in sepsis. <i>Crit Care</i> <b>28</b>, 411 (2024). https://doi.org/10.1186/s13054-024-05201-w</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2024-11-26\">26 November 2024</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2024-12-02\">02 December 2024</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2024-12-18\">18 December 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-024-05201-w</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"90 1","pages":""},"PeriodicalIF":8.8000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations between oxygenation status and prognosis in sepsis\",\"authors\":\"Lihong Zhu, Juan Lin\",\"doi\":\"10.1186/s13054-024-05201-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We read with great interest the recent study [1] which investigated whether a relatively high arterial oxygen tension (PaO<sub>2</sub>) is associated with improved survival rate in sepsis compared to conservative oxygenation targets. After propensity score matching (PSM), 2422 patients evenly distributed between the liberal and conservative oxygen groups. The findings indicated that a higher PaO<sub>2</sub> (≥ 80 mmHg) during the first three days in ICU was associated with lower 28-day mortality. While these results contribute significantly to the field of critical care medicine, several aspects require further clarification.</p><p>The study reported a significant reduction in 28-day mortality in the liberal group compared to the conservative group. However, according to the supplementary materials, we noted that the difference in mortality primarily occurred by day 7, with mortality rates of 14.3% in the liberal group compared to 6.9% in the conservative group—a reduction of approximately 7.4%. Interestingly, after day 7, the difference in mortality between the two groups appeared to stabilize, remaining at around 7% on day 14 (17.9% vs. 10.4%) and day 28 (22.5% vs. 14.8%), or even small on day 90 (31.3% vs. 27.0%). This pattern raises the question of whether the mortality benefit associated with higher oxygenation is predominantly a short-term effect or it still has more enduring implications. Also, it remains unclear whether this short-term mortality effect is directly attributable to differences in oxygenation status or whether it might be influenced by other confounding factors (e.g., patients who died within 7 days might be more likely due to disease severity), which highlighted the need for further analyses to better understand the reason for the observed mortality benefit and to explore its underlying mechanisms.</p><p>In addition, although PSM is a robust method for balancing measured covariates, it has its own limitations [2]. For instance, in this study, almost half of the patients were excluded during propensity score matching (PSM). By excluding a large proportion of study patients, PSM may reduce the representativeness of the sample and limit the generalizability of the findings. Moreover, while PSM adjusts for known confounders, it does not address potential unmeasured confounders, which may still significantly influence the observed outcomes [3]. For example, it remains unclear whether the observed differences in 7-day mortality rates between the liberal group and the conservative group are attributable to unmeasured confounders. Therefore, future analyses incorporating sensitivity analyses or analyses of the entire cohort may provide a more comprehensive evaluation of the robustness of these findings.</p><p>In the subgroup analysis, authors reported that higher oxygenation levels were associated with a reduced 28-day mortality risk in the following populations: males, hospital-acquired sepsis, vasopressors, mechanical ventilation, acute respiratory distress syndrome, or lactate ≥ 4 mmol/L. However, the absence of reported <i>p</i>-values for interaction effects significantly limits the interpretability of these subgroup analyses. Without <i>p</i>-values for interaction, it is difficult to determine whether the differences observed across subgroups are statistically significant or merely reflect random sampling error. Furthermore, a substantial overlap in confidence intervals across subgroups suggests that the effects of higher oxygenation may not differ significantly among these groups. Reporting p-values for interaction effects would help clarify whether the mortality benefits of higher oxygenation are consistent across subgroups or if they are concentrated in specific patient subsets.</p><p>The study employed a competing risk model to evaluate the relationship between oxygenation and ICU discharge, treating ICU discharge as the primary outcome and 28-day mortality as a competing event. While competing risk models are valuable tools in survival analysis, their application in this context warrants more careful consideration. The assumption underlying competing risk models is that the primary outcome and the competing event are mutually exclusive and independent, such as acute kidney injury and death. However, in critically ill patients, ICU discharge and 28-day mortality may not meet these criteria. Actually, when using ICU discharge as a positive outcome, the negative outcome is the inability to be discharged from the ICU, with death as the primary cause. This interdependence between ICU discharge and mortality challenges the validity of the model's assumptions and may lead to biased estimates of the effect of oxygenation on discharge outcomes.</p><p>The study also utilized restricted cubic spline (RCS) regression to explore the relationship between PaO<sub>2</sub> levels and mortality. While RCS is an effective tool for modeling non-linear relationships, several points should be noted. In RCS analyses, the optimal reference point is typically chosen based on inflection points in the RCS graph, as these points offer the greatest clinical relevance and statistical interpretability. However, in this study, the selected reference point did not align with the inflection points, which increases the difficulty of interpreting the results. Additionally, the RCS analysis in this study was limited to the propensity score-matched cohort, excluding patients who were not included in the matching process. This limitation may hinder a comprehensive understanding of the relationship between PaO<sub>2</sub> and mortality. Expanding the analysis to include the full dataset could provide a more complete picture of the impact of oxygenation on all critically ill sepsis patients, thereby enhancing the generalizability of the findings.</p><p>Oxygen therapy is a cornerstone of ICU management, with optimal target still under debate [4]. The study’s results suggest that liberal oxygenation may confer a survival benefit, at least in the short term. However, the questions raised in this letter underscore the complexity of this issue and the need for further research to explore how oxygenation strategies affect outcomes in sepsis patients.</p><p>Dr. Hyun et al.’s study represents a valuable contribution by highlighting the potential benefits of liberal oxygenation in sepsis. We commend the authors for their rigorous investigation and encourage further studies to build upon these findings. Thank you for considering our comments on this compelling work.</p><p>Not applicable.</p><ol data-track-component=\\\"outbound reference\\\" data-track-context=\\\"references section\\\"><li data-counter=\\\"1.\\\"><p>Hyun DG, Ahn JH, Huh JW, Hong SB, Koh Y, Oh DK, Lee SY, Park MH, Lim CM. Korean sepsis alliance I: the association of arterial partial oxygen pressure with mortality in critically ill sepsis patients: a nationwide observational cohort study. Crit Care. 2024;28(1):187.</p><p>Article PubMed PubMed Central Google Scholar </p></li><li data-counter=\\\"2.\\\"><p>Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46(3):399–424.</p><p>Article Google Scholar </p></li><li data-counter=\\\"3.\\\"><p>Li L, Shen C, Wu AC, Li X. Propensity score-based sensitivity analysis method for uncontrolled confounding. Am J Epidemiol. 2011;174(3):345–53.</p><p>Article CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\\\"4.\\\"><p>Girardis M, Busani S, Damiani E, Donati A, Rinaldi L, Marudi A, Morelli A, Antonelli M, Singer M. Effect of conservative vs conventional oxygen therapy on mortality among patients in an intensive care unit: the oxygen-ICU randomized clinical trial. JAMA. 2016;316(15):1583–9.</p><p>Article CAS PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><p>Not applicable.</p><p>None.</p><h3>Authors and Affiliations</h3><ol><li><p>Department of Intensive Care, Zhejiang Hospital, No.1229, Gudun-Road, Hangzhou, 310013, Zhejiang, China</p><p>Lihong Zhu & Juan Lin</p></li></ol><span>Authors</span><ol><li><span>Lihong Zhu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Juan Lin</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>Lihong Zhu wrote the letter, Juan Lin Raised the question. All authors have reviewed and approved the letter.</p><h3>Corresponding author</h3><p>Correspondence to Juan Lin.</p><h3>Ethics approval and consent to participate</h3>\\n<p>Not applicable.</p>\\n<h3>Consent for publication</h3>\\n<p>Not applicable.</p>\\n<h3>Competing interests</h3>\\n<p>None.</p><h3>Publisher's Note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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Associations between oxygenation status and prognosis in sepsis. <i>Crit Care</i> <b>28</b>, 411 (2024). https://doi.org/10.1186/s13054-024-05201-w</p><p>Download citation<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><ul data-test=\\\"publication-history\\\"><li><p>Received<span>: </span><span><time datetime=\\\"2024-11-26\\\">26 November 2024</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\\\"2024-12-02\\\">02 December 2024</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\\\"2024-12-18\\\">18 December 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-024-05201-w</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\\\"click\\\" data-track-action=\\\"get shareable link\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\\\"click\\\" data-track-action=\\\"select share url\\\" data-track-label=\\\"button\\\"></p><button data-track=\\\"click\\\" data-track-action=\\\"copy share url\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>\",\"PeriodicalId\":10811,\"journal\":{\"name\":\"Critical Care\",\"volume\":\"90 1\",\"pages\":\"\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2024-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13054-024-05201-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13054-024-05201-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
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我们饶有兴趣地阅读了最近的一项研究[1],该研究调查了相对较高的动脉氧张力(PaO2)与保守的吸氧目标相比是否与脓毒症存活率的提高有关。经过倾向评分匹配(PSM)后,2422 名患者平均分布在宽松氧疗组和保守氧疗组。研究结果表明,在重症监护室的前三天,较高的 PaO2(≥ 80 mmHg)与较低的 28 天死亡率相关。虽然这些结果为重症医学领域做出了重大贡献,但仍有几个方面需要进一步澄清。该研究报告称,与保守组相比,宽松组的 28 天死亡率显著降低。然而,根据补充材料,我们注意到死亡率的差异主要发生在第 7 天,自由组的死亡率为 14.3%,而保守组为 6.9%,减少了约 7.4%。有趣的是,在第 7 天之后,两组之间的死亡率差异似乎趋于稳定,在第 14 天(17.9% 对 10.4%)和第 28 天(22.5% 对 14.8%)保持在 7% 左右,甚至在第 90 天(31.3% 对 27.0%)也保持很小的差异。这种模式提出了一个问题:与高氧饱和度相关的死亡率益处主要是短期效应,还是具有更持久的影响。此外,目前仍不清楚这种短期死亡率效应是直接归因于氧合状态的差异,还是可能受到其他混杂因素的影响(例如,7 天内死亡的患者更有可能是由于疾病严重程度所致),这凸显了进一步分析的必要性,以更好地了解观察到的死亡率获益的原因并探索其潜在机制。例如,在本研究中,近一半的患者在倾向评分匹配(PSM)过程中被排除在外。由于排除了很大一部分研究患者,倾向得分匹配法可能会降低样本的代表性,限制研究结果的推广性。此外,尽管倾向评分匹配法调整了已知的混杂因素,但并没有解决潜在的未测量混杂因素,而这些因素仍可能对观察到的结果产生重大影响[3]。例如,目前仍不清楚自由组和保守组之间观察到的 7 天死亡率差异是否归因于未测量的混杂因素。在亚组分析中,作者报告称,在以下人群中,较高的氧合水平与 28 天死亡率风险降低有关:男性、医院获得性败血症、血管加压、机械通气、急性呼吸窘迫综合征或乳酸≥ 4 mmol/L。然而,由于没有报告交互作用的 p 值,这些亚组分析的可解释性受到很大限制。如果没有交互作用的 p 值,就很难确定在不同亚组之间观察到的差异是具有统计学意义,还是仅仅反映了随机抽样误差。此外,亚组间置信区间的大量重叠表明,高氧合的效果在这些组间可能没有显著差异。报告交互效应的 p 值将有助于澄清高氧合对死亡率的益处在不同亚组之间是否一致,或者是否集中在特定的患者亚组。该研究采用了竞争风险模型来评估氧合与 ICU 出院之间的关系,将 ICU 出院作为主要结果,28 天死亡率作为竞争事件。虽然竞争风险模型是生存分析的重要工具,但在此情况下应用时需要更加谨慎。竞争风险模型的基本假设是主要结果和竞争事件是相互排斥和独立的,例如急性肾损伤和死亡。然而,在重症患者中,ICU 出院和 28 天死亡率可能不符合这些标准。实际上,当把重症监护室出院作为正面结果时,负面结果就是无法从重症监护室出院,而死亡是主要原因。ICU 出院与死亡率之间的这种相互依存关系对模型假设的有效性提出了挑战,并可能导致对氧合对出院结果影响的估计出现偏差。该研究还利用受限立方样条(RCS)回归来探讨 PaO2 水平与死亡率之间的关系。虽然 RCS 是建立非线性关系模型的有效工具,但有几点需要注意。 在 RCS 分析中,最佳参考点通常根据 RCS 图表中的拐点来选择,因为这些点具有最大的临床相关性和统计可解释性。但在本研究中,所选参考点与拐点不一致,这增加了解释结果的难度。此外,本研究中的 RCS 分析仅限于倾向评分匹配队列,排除了未纳入匹配过程的患者。这一限制可能会妨碍对 PaO2 和死亡率之间关系的全面了解。扩大分析范围,纳入全部数据集,可以更全面地了解氧疗对所有重症脓毒症患者的影响,从而提高研究结果的普遍性。氧疗是重症监护室管理的基石,其最佳目标仍存在争议[4]。该研究结果表明,至少在短期内,宽松的吸氧可能会给患者的生存带来益处。然而,这封信中提出的问题强调了这一问题的复杂性,以及进一步研究探讨吸氧策略如何影响脓毒症患者预后的必要性。我们对作者的严谨研究表示赞赏,并鼓励在这些研究结果的基础上开展进一步的研究。感谢您考虑我们对这项引人注目的工作的意见。韩国脓毒症联盟 I:动脉血氧分压与重症脓毒症患者死亡率的关系:一项全国范围的观察性队列研究》(Korean sepsis alliance I: the association of arterial partial oxygen pressure with mortality in critically ill sepsis patients: a nationwide observational cohort study.Crit Care.2024;28(1):187.Article PubMed PubMed Central Google Scholar Austin PC.在观察性研究中减少混杂影响的倾向评分法简介。Multivar Behav Res. 2011;46(3):399-424.Article Google Scholar Li L, Shen C, Wu AC, Li X.基于倾向得分的不可控混杂敏感性分析方法。Am J Epidemiol.2011;174(3):345-53.Article CAS PubMed PubMed Central Google Scholar Girardis M, Busani S, Damiani E, Donati A, Rinaldi L, Marudi A, Morelli A, Antonelli M, Singer M. Effect of conservative vs conventional oxygen therapy on mortality among patients in an intensive care unit: the oxygen-ICU randomized clinical trial.美国医学会杂志》。2016;316(15):1583-9.Article CAS PubMed Google Scholar Download referencesNot applicable.None.Authors and AffiliationsDepartment of Intensive Care, Zhejiang Hospital, No.1229、浙江省杭州市古墩路1229号浙江医院重症医学科 邮编:310013作者:Lihong Zhu 查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Juan Lin 查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者ContributionsLihong Zhu撰写了这封信,Juan Lin提出了问题。所有作者均已审阅并批准此信。通讯作者:林娟。伦理批准和参与同意书不适用。同意发表不适用。利益冲突无。出版者注释Springer Nature对已出版地图中的管辖权主张和机构隶属关系保持中立。开放获取 本文采用知识共享署名-非商业性-禁止衍生 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式进行任何非商业性使用、共享、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明您是否修改了许可材料。根据本许可协议,您无权分享源自本文或本文部分内容的改编材料。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的信用栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出了许可使用范围,则您需要直接获得版权所有者的许可。如需查看该许可的副本,请访问 http://creativecommons.org/licenses/by-nc-nd/4.0/.Reprints and permissionsCite this articleZhu, L., Lin, J. 氧合状态与败血症预后的关系。https://doi.org/10.1186/s13054-024-05201-wDownload citationReceived:26 November 2024Accepted:02 December 2024Published: 18 December 2024DOI: https://doi.org/10.1186/s13054-024-05201-wShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative.
Associations between oxygenation status and prognosis in sepsis
We read with great interest the recent study [1] which investigated whether a relatively high arterial oxygen tension (PaO2) is associated with improved survival rate in sepsis compared to conservative oxygenation targets. After propensity score matching (PSM), 2422 patients evenly distributed between the liberal and conservative oxygen groups. The findings indicated that a higher PaO2 (≥ 80 mmHg) during the first three days in ICU was associated with lower 28-day mortality. While these results contribute significantly to the field of critical care medicine, several aspects require further clarification.
The study reported a significant reduction in 28-day mortality in the liberal group compared to the conservative group. However, according to the supplementary materials, we noted that the difference in mortality primarily occurred by day 7, with mortality rates of 14.3% in the liberal group compared to 6.9% in the conservative group—a reduction of approximately 7.4%. Interestingly, after day 7, the difference in mortality between the two groups appeared to stabilize, remaining at around 7% on day 14 (17.9% vs. 10.4%) and day 28 (22.5% vs. 14.8%), or even small on day 90 (31.3% vs. 27.0%). This pattern raises the question of whether the mortality benefit associated with higher oxygenation is predominantly a short-term effect or it still has more enduring implications. Also, it remains unclear whether this short-term mortality effect is directly attributable to differences in oxygenation status or whether it might be influenced by other confounding factors (e.g., patients who died within 7 days might be more likely due to disease severity), which highlighted the need for further analyses to better understand the reason for the observed mortality benefit and to explore its underlying mechanisms.
In addition, although PSM is a robust method for balancing measured covariates, it has its own limitations [2]. For instance, in this study, almost half of the patients were excluded during propensity score matching (PSM). By excluding a large proportion of study patients, PSM may reduce the representativeness of the sample and limit the generalizability of the findings. Moreover, while PSM adjusts for known confounders, it does not address potential unmeasured confounders, which may still significantly influence the observed outcomes [3]. For example, it remains unclear whether the observed differences in 7-day mortality rates between the liberal group and the conservative group are attributable to unmeasured confounders. Therefore, future analyses incorporating sensitivity analyses or analyses of the entire cohort may provide a more comprehensive evaluation of the robustness of these findings.
In the subgroup analysis, authors reported that higher oxygenation levels were associated with a reduced 28-day mortality risk in the following populations: males, hospital-acquired sepsis, vasopressors, mechanical ventilation, acute respiratory distress syndrome, or lactate ≥ 4 mmol/L. However, the absence of reported p-values for interaction effects significantly limits the interpretability of these subgroup analyses. Without p-values for interaction, it is difficult to determine whether the differences observed across subgroups are statistically significant or merely reflect random sampling error. Furthermore, a substantial overlap in confidence intervals across subgroups suggests that the effects of higher oxygenation may not differ significantly among these groups. Reporting p-values for interaction effects would help clarify whether the mortality benefits of higher oxygenation are consistent across subgroups or if they are concentrated in specific patient subsets.
The study employed a competing risk model to evaluate the relationship between oxygenation and ICU discharge, treating ICU discharge as the primary outcome and 28-day mortality as a competing event. While competing risk models are valuable tools in survival analysis, their application in this context warrants more careful consideration. The assumption underlying competing risk models is that the primary outcome and the competing event are mutually exclusive and independent, such as acute kidney injury and death. However, in critically ill patients, ICU discharge and 28-day mortality may not meet these criteria. Actually, when using ICU discharge as a positive outcome, the negative outcome is the inability to be discharged from the ICU, with death as the primary cause. This interdependence between ICU discharge and mortality challenges the validity of the model's assumptions and may lead to biased estimates of the effect of oxygenation on discharge outcomes.
The study also utilized restricted cubic spline (RCS) regression to explore the relationship between PaO2 levels and mortality. While RCS is an effective tool for modeling non-linear relationships, several points should be noted. In RCS analyses, the optimal reference point is typically chosen based on inflection points in the RCS graph, as these points offer the greatest clinical relevance and statistical interpretability. However, in this study, the selected reference point did not align with the inflection points, which increases the difficulty of interpreting the results. Additionally, the RCS analysis in this study was limited to the propensity score-matched cohort, excluding patients who were not included in the matching process. This limitation may hinder a comprehensive understanding of the relationship between PaO2 and mortality. Expanding the analysis to include the full dataset could provide a more complete picture of the impact of oxygenation on all critically ill sepsis patients, thereby enhancing the generalizability of the findings.
Oxygen therapy is a cornerstone of ICU management, with optimal target still under debate [4]. The study’s results suggest that liberal oxygenation may confer a survival benefit, at least in the short term. However, the questions raised in this letter underscore the complexity of this issue and the need for further research to explore how oxygenation strategies affect outcomes in sepsis patients.
Dr. Hyun et al.’s study represents a valuable contribution by highlighting the potential benefits of liberal oxygenation in sepsis. We commend the authors for their rigorous investigation and encourage further studies to build upon these findings. Thank you for considering our comments on this compelling work.
Not applicable.
Hyun DG, Ahn JH, Huh JW, Hong SB, Koh Y, Oh DK, Lee SY, Park MH, Lim CM. Korean sepsis alliance I: the association of arterial partial oxygen pressure with mortality in critically ill sepsis patients: a nationwide observational cohort study. Crit Care. 2024;28(1):187.
Article PubMed PubMed Central Google Scholar
Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46(3):399–424.
Article Google Scholar
Li L, Shen C, Wu AC, Li X. Propensity score-based sensitivity analysis method for uncontrolled confounding. Am J Epidemiol. 2011;174(3):345–53.
Article CAS PubMed PubMed Central Google Scholar
Girardis M, Busani S, Damiani E, Donati A, Rinaldi L, Marudi A, Morelli A, Antonelli M, Singer M. Effect of conservative vs conventional oxygen therapy on mortality among patients in an intensive care unit: the oxygen-ICU randomized clinical trial. JAMA. 2016;316(15):1583–9.
Article CAS PubMed Google Scholar
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Department of Intensive Care, Zhejiang Hospital, No.1229, Gudun-Road, Hangzhou, 310013, Zhejiang, China
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Lihong Zhu wrote the letter, Juan Lin Raised the question. All authors have reviewed and approved the letter.
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Zhu, L., Lin, J. Associations between oxygenation status and prognosis in sepsis. Crit Care28, 411 (2024). https://doi.org/10.1186/s13054-024-05201-w
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Critical Care is an esteemed international medical journal that undergoes a rigorous peer-review process to maintain its high quality standards. Its primary objective is to enhance the healthcare services offered to critically ill patients. To achieve this, the journal focuses on gathering, exchanging, disseminating, and endorsing evidence-based information that is highly relevant to intensivists. By doing so, Critical Care seeks to provide a thorough and inclusive examination of the intensive care field.