{"title":"Retraction Note: Beyond the numbers: do nomograms capture the complexity of RRT dosing?","authors":"Parth Aphale, Shashank Dokania, Himanshu Shekhar","doi":"10.1007/s00134-025-08272-7","DOIUrl":"https://doi.org/10.1007/s00134-025-08272-7","url":null,"abstract":"<b>Retraction Note: Intensive Care Med (2025) 51:2168–2169</b> <b>https://doi.org/10.1007/s00134-025-08130-6</b>","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"206 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1007/s00134-025-08256-7
Idunn S Morris,Shailesh Bihari,Ewan C Goligher,
{"title":"Monitoring respiratory effort during invasive mechanical ventilation: a multinational survey of clinical practice.","authors":"Idunn S Morris,Shailesh Bihari,Ewan C Goligher, ","doi":"10.1007/s00134-025-08256-7","DOIUrl":"https://doi.org/10.1007/s00134-025-08256-7","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"24 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1007/s00134-025-08255-8
Audrey De Jong, Romain Pirracchio, Antoine Kimmoun
Randomized controlled trials (RCTs) remain the gold standard for generating high-quality evidence by minimizing confounding bias. However, RCTs can only evaluate interventions with true equipoise. From a practical standpoint, RCTs are demanding both financially and from a human resources perspective. RCTs often take a long time to complete, with no guarantee they will reach completion. Moreover, although randomization ensures group comparability usually providing excellent internal validity, external validity may be limited, as RCTs are typically conducted in highly selected populations [1]. In contrast, observational studies are gaining growing attention for their potential to generate robust evidence; an interest supported by the rise of large databases. Observational designs rely on sampling from the observed target population under no researcher-initiated intervention. Observational studies include a variety of designs such as case–control studies, cohort studies, or cross-sectional studies. Unlike RCTs, observational studies can be carried out at a fraction of the cost and provide rapid, real-world insights that are relevant not only to clinicians, but also to patients, regulators, and payers. However, these advantages are counterbalanced by an increased risk of bias. Mitigating this risk often comes at the cost of a high methodological complexity, resulting in reduced perceived transparency for the reader, with no guarantee that the biases inherent to such studies are fully addressed [2]. Consequently, the conclusions drawn from observational studies should follow EQUATOR guidelines (i.e. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement) and must always be critically appraised [3]. To help the reader strengthen their appraisal of such studies, we outline several key methodological and statistical considerations in observational research. Important definitions are provided in Fig. 1 and key findings in Fig. 2.<figure><figcaption><b data-test="figure-caption-text">Fig. 1</b></figcaption><source srcset="//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig1_HTML.png?as=webp" type="image/webp"/><img alt="figure 1" aria-describedby="Fig1" height="509" loading="lazy" src="//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig1_HTML.png" width="685"/></picture>Definitions of common terms in statistic modelling<span>Full size image</span><svg aria-hidden="true" focusable="false" height="16" role="img" width="16"><use xlink:href="#icon-eds-i-chevron-right-small" xmlns:xlink="http://www.w3.org/1999/xlink"></use></svg></figure><figure><figcaption><b data-test="figure-caption-text">Fig. 2</b></figcaption><source srcset="//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig2_HTML.png?as=webp" type="image/webp"/><img al
{"title":"Checking methodology and statistics when reading an observational study","authors":"Audrey De Jong, Romain Pirracchio, Antoine Kimmoun","doi":"10.1007/s00134-025-08255-8","DOIUrl":"https://doi.org/10.1007/s00134-025-08255-8","url":null,"abstract":"Randomized controlled trials (RCTs) remain the gold standard for generating high-quality evidence by minimizing confounding bias. However, RCTs can only evaluate interventions with true equipoise. From a practical standpoint, RCTs are demanding both financially and from a human resources perspective. RCTs often take a long time to complete, with no guarantee they will reach completion. Moreover, although randomization ensures group comparability usually providing excellent internal validity, external validity may be limited, as RCTs are typically conducted in highly selected populations [1]. In contrast, observational studies are gaining growing attention for their potential to generate robust evidence; an interest supported by the rise of large databases. Observational designs rely on sampling from the observed target population under no researcher-initiated intervention. Observational studies include a variety of designs such as case–control studies, cohort studies, or cross-sectional studies. Unlike RCTs, observational studies can be carried out at a fraction of the cost and provide rapid, real-world insights that are relevant not only to clinicians, but also to patients, regulators, and payers. However, these advantages are counterbalanced by an increased risk of bias. Mitigating this risk often comes at the cost of a high methodological complexity, resulting in reduced perceived transparency for the reader, with no guarantee that the biases inherent to such studies are fully addressed [2]. Consequently, the conclusions drawn from observational studies should follow EQUATOR guidelines (i.e. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement) and must always be critically appraised [3]. To help the reader strengthen their appraisal of such studies, we outline several key methodological and statistical considerations in observational research. Important definitions are provided in Fig. 1 and key findings in Fig. 2.<figure><figcaption><b data-test=\"figure-caption-text\">Fig. 1</b></figcaption><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"509\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig1_HTML.png\" width=\"685\"/></picture>Definitions of common terms in statistic modelling<span>Full size image</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><figure><figcaption><b data-test=\"figure-caption-text\">Fig. 2</b></figcaption><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00134-025-08255-8/MediaObjects/134_2025_8255_Fig2_HTML.png?as=webp\" type=\"image/webp\"/><img al","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"11 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1007/s00134-025-08238-9
Alexander Supady,Francisco de Paula Delgado Moya,Sofia Ortuno
{"title":"Defining a national standard for ECMO emergency care.","authors":"Alexander Supady,Francisco de Paula Delgado Moya,Sofia Ortuno","doi":"10.1007/s00134-025-08238-9","DOIUrl":"https://doi.org/10.1007/s00134-025-08238-9","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"42 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1007/s00134-025-08257-6
Massimo Lamperti,Francisco A Lobo
{"title":"The silent line: confronting iatrogenic cerebral suppression in the perioperative and critical care settings.","authors":"Massimo Lamperti,Francisco A Lobo","doi":"10.1007/s00134-025-08257-6","DOIUrl":"https://doi.org/10.1007/s00134-025-08257-6","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"7 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1007/s00134-025-08259-4
Florence Boissier, Julien Poissy, Marie Lecronier, Sarah Ayraud-Thevenot, Jérémy Guihenneuc
No Abstract
没有抽象的
{"title":"Integrating sustainability into critical care undergraduate education: preparing future physicians for a climate-conscious practice. Author's reply","authors":"Florence Boissier, Julien Poissy, Marie Lecronier, Sarah Ayraud-Thevenot, Jérémy Guihenneuc","doi":"10.1007/s00134-025-08259-4","DOIUrl":"https://doi.org/10.1007/s00134-025-08259-4","url":null,"abstract":"No Abstract","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"29 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1007/s00134-025-08251-y
Idunn S Morris,Marcelo Amato,Elias Baedorf Kassis,Giacomo Bellani,Carolyn S Calfee,Leo Heunks,Carol Hodgson,Priya Nair,Ary Serpa Neto,Sarina Sahetya,Charlotte Summers,Irene Telias,Takeshi Yoshida,Arthur S Slutsky,Niall D Ferguson
Despite advancements in bedside monitoring and paradigm shifts in standard ventilatory practice, mortality from acute respiratory distress syndrome (ARDS) remains high. The recent Global ARDS definition adopts a more pragmatic approach enabling earlier identification across a broader patient spectrum, independent of the interventions being administered. Meanwhile, our understanding of managing this heterogeneous syndrome has shifted towards defining precise subgroups with shared therapeutic targets. Physiological, biological, and radiological phenotypes may modify the response to interventions previously showing indeterminate benefit, making them potentially central to future personalised ARDS management. This narrative review summarises core evidence for the medical and ventilatory management of ARDS, explores emerging concepts, and offers clinicians a framework for current best practice and a roadmap for possible future directions.
{"title":"The medical management of acute respiratory distress syndrome.","authors":"Idunn S Morris,Marcelo Amato,Elias Baedorf Kassis,Giacomo Bellani,Carolyn S Calfee,Leo Heunks,Carol Hodgson,Priya Nair,Ary Serpa Neto,Sarina Sahetya,Charlotte Summers,Irene Telias,Takeshi Yoshida,Arthur S Slutsky,Niall D Ferguson","doi":"10.1007/s00134-025-08251-y","DOIUrl":"https://doi.org/10.1007/s00134-025-08251-y","url":null,"abstract":"Despite advancements in bedside monitoring and paradigm shifts in standard ventilatory practice, mortality from acute respiratory distress syndrome (ARDS) remains high. The recent Global ARDS definition adopts a more pragmatic approach enabling earlier identification across a broader patient spectrum, independent of the interventions being administered. Meanwhile, our understanding of managing this heterogeneous syndrome has shifted towards defining precise subgroups with shared therapeutic targets. Physiological, biological, and radiological phenotypes may modify the response to interventions previously showing indeterminate benefit, making them potentially central to future personalised ARDS management. This narrative review summarises core evidence for the medical and ventilatory management of ARDS, explores emerging concepts, and offers clinicians a framework for current best practice and a roadmap for possible future directions.","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"21 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1007/s00134-025-08270-9
Nicolas Massart,Lydie Bourges,Quentin Allouet,Thomas Frapard,Pierre Bardoult,
{"title":"It is achievable to decrease resource consumption in the ICU: a pre/post eco-audit.","authors":"Nicolas Massart,Lydie Bourges,Quentin Allouet,Thomas Frapard,Pierre Bardoult, ","doi":"10.1007/s00134-025-08270-9","DOIUrl":"https://doi.org/10.1007/s00134-025-08270-9","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"3 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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