Journal of critical care最新文献

{"title":"Association between anemia and trauma-related severe acute kidney injury in trauma patients at risk of major bleeding: A post-hoc analysis of the RESTRIC trial","authors":"Yuko Okishio ,&nbsp;Kyohei Miyamoto ,&nbsp;Tsuyoshi Nakashima ,&nbsp;Mineji Hayakawa ,&nbsp;Daisuke Kudo ,&nbsp;Shigeki Kushimoto ,&nbsp;Takashi Tagami ,&nbsp;Kosei Kunitatsu ,&nbsp;Shuji Kawashima ,&nbsp;Kentaro Ueda ,&nbsp;Shigeaki Inoue","doi":"10.1016/j.jcrc.2025.155364","DOIUrl":"10.1016/j.jcrc.2025.155364","url":null,"abstract":"<div><h3>Purpose</h3><div>Trauma-related acute kidney injury (AKI) is associated with increased mortality. Anemia on admission has been reported as a risk factor for AKI in non-trauma patients. Several studies have reported an association between anemia and trauma-related AKI. However, very few studies specifically focused on the association between anemia at emergency department (ED) admission and trauma-related severe AKI. We aimed to investigate this association in this post-hoc analysis.</div></div><div><h3>Materials and methods</h3><div>We retrospectively analyzed the dataset of the Restrictive Red Blood Cell Transfusion Strategy for Critically Injured Patients (RESTRIC) trial, a cluster-randomized, crossover, non-inferiority multicenter study that included 422 trauma patients at risk of major bleeding to compare restrictive and liberal transfusion strategies. Patients undergoing chronic hemodialysis were excluded. We assessed the association between anemia at ED admission (hemoglobin &lt;10 g/dL) and trauma-related severe AKI defined as Kidney Disease: Improving Global Outcomes Stage 3, occurring within 7 days of admission. A multivariate logistic regression model was employed to adjust for propensity scores predicting the likelihood of anemia at ED admission, calculated from predefined risk factors relevant to trauma-related severe AKI and randomized allocations (e.g., transfusion strategies).</div></div><div><h3>Results</h3><div>Trauma-related severe AKI occurred in 15 (3.6 %) of the final study population of 417 patients. Of all patients, 63 (15 %) presented with anemia at ED admission. The multivariate logistic regression model revealed a significant association between anemia at ED admission and trauma-related severe AKI (adjusted odds ratio 3.9, 95 % confidence interval 1.2–12.9, <em>p</em> = 0.029).</div></div><div><h3>Conclusions</h3><div>Anemia at ED admission might be associated with trauma-related AKI in trauma patients at risk of major bleeding.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155364"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145604497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pre-operative risk stratification from admission data: Clustering and KNN-modelling for identifying high-risk patients before surgery","authors":"Armin Podtschaske ,&nbsp;Bernhard Ulm ,&nbsp;Simone Kagerbauer","doi":"10.1016/j.jcrc.2025.155376","DOIUrl":"10.1016/j.jcrc.2025.155376","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155376"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A method for real-time detection of change in pathophysiological dynamics from arterial blood gas analysis","authors":"Senthil Mudaliar ,&nbsp;Lawrence A. Renna ,&nbsp;George T. Harea ,&nbsp;Dan S. Wendorff ,&nbsp;Brendan M. Beely ,&nbsp;Teryn R. Roberts ,&nbsp;Bruce J. West ,&nbsp;Andriy I. Batchinsky","doi":"10.1016/j.jcrc.2025.155370","DOIUrl":"10.1016/j.jcrc.2025.155370","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155370"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a photoplethysmography-derived cardiovascular age metric for trauma and intensive care risk stratification","authors":"Ryan B. Felix ,&nbsp;Kathalyn Urquizo ,&nbsp;Meagan Watkins ,&nbsp;William Gu ,&nbsp;Bradford Burdette ,&nbsp;Shiming Yang ,&nbsp;Jamie Podell ,&nbsp;John P. Fisher ,&nbsp;William Teeter ,&nbsp;Neeraj Badjatia ,&nbsp;Peter Hu","doi":"10.1016/j.jcrc.2025.155384","DOIUrl":"10.1016/j.jcrc.2025.155384","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155384"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early prediction of life-saving interventions using pre-hospital vital signs","authors":"Shiming Yang ,&nbsp;William Teeter ,&nbsp;Meagan Watkins ,&nbsp;Douglas Floccare ,&nbsp;Samuel Galvagno ,&nbsp;David Effon ,&nbsp;Rosemary Kozar ,&nbsp;Neeraj Badjatia ,&nbsp;Thomas Scalea ,&nbsp;Peter Hu","doi":"10.1016/j.jcrc.2025.155380","DOIUrl":"10.1016/j.jcrc.2025.155380","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155380"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor: “Evaluation of bromocriptine for the reduction of fever in patients with acute neurologic injury: A retrospective cohort study”","authors":"Nathan De Lissnyder ,&nbsp;Sydney Blackman ,&nbsp;Ilann Oueslati ,&nbsp;Patrick M. Honore","doi":"10.1016/j.jcrc.2025.155409","DOIUrl":"10.1016/j.jcrc.2025.155409","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155409"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145780975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor: \"Sepsis-associated liver dysfunction confounds the association between circulating PCSK9 concentration and mortality in septic patients: A single-center retrospective cohort study”","authors":"Min Zhang,&nbsp;Xingyi Yang","doi":"10.1016/j.jcrc.2025.155417","DOIUrl":"10.1016/j.jcrc.2025.155417","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155417"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145780953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acoustic biotopes of intensive care units: How to listen and act effectively on the sounds of critical care with other listeners in mind","authors":"Elif Özcan ,&nbsp;Judy Edworthy","doi":"10.1016/j.jcrc.2025.155359","DOIUrl":"10.1016/j.jcrc.2025.155359","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155359"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145714758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variations in mean arterial pressure trends after phenylephrine in anesthetized patients","authors":"Estefanía Žugelj Tapia ,&nbsp;Marko Žličar ,&nbsp;Borut Kirn","doi":"10.1016/j.jcrc.2025.155383","DOIUrl":"10.1016/j.jcrc.2025.155383","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155383"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can large language models approximate the results of meta-analyses in critical care? A meta-research study","authors":"Michael Pratte ,&nbsp;Shawn Thirukumar ,&nbsp;Caseng Zhang ,&nbsp;Marat Slessarev ,&nbsp;John Basmaji ,&nbsp;Ross Prager","doi":"10.1016/j.jcrc.2025.155358","DOIUrl":"10.1016/j.jcrc.2025.155358","url":null,"abstract":"<div><h3>Background</h3><div>Large language models (LLMs) are capable of processing extensive textual data and synthesizing evidence to answer complex clinical questions. The labor-intensive nature of systematic reviews with meta-analyses (SRMAs) present a unique opportunity to evaluate the utility of LLMs as a novel method for evidence synthesis.</div></div><div><h3>Objective</h3><div>This study assessed the ability of OpenAI's o3 DeepResearch model to approximate the direction of effect, magnitude of effect and certainty of evidence for clinical questions addressed by published meta-analyses in top critical care medicine journals.</div></div><div><h3>Methods</h3><div>We constructed standardized prompts based on the PICO (Population, Intervention, Comparator, Outcome) from a convenience sample of 23 systematic reviews with meta-analyses published in high-impact critical care journals. The LLM's estimates of effect size and certainty of evidence ratings were compared to those reported in the original SRMAs.</div></div><div><h3>Results</h3><div>The LLM demonstrated a concordance rate of 83 % (19 of 23 studies) for the magnitude of effect size and 91 % (21 of 23 studies) for the direction of effect. Concordance for certainty of evidence was also 91 %. Discrepancies were due to differences in study selection between the LLM and SRMAs, rather than model hallucination or misinterpretation.</div></div><div><h3>Conclusions</h3><div>LLMs show promise as a new tool for rapid evidence synthesis in critical care, with outputs comparable to traditional meta-analyses in many cases. While not a replacement for systematic reviews, LLMs may enhance clinical decision-making, perform rapid evidence synthesis, and streamline future research workflows.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155358"},"PeriodicalIF":2.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145564223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}