Critical Care Medicine最新文献

{"title":"The Impact of Obesity on Sepsis Mediated by Omega-3 Status.","authors":"Li-Juan Zou, Hang Ruan","doi":"10.1097/CCM.0000000000006729","DOIUrl":"https://doi.org/10.1097/CCM.0000000000006729","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":"53 9","pages":"e1865-e1866"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945698","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}

{"title":"Efficacy of Ramelteon, Suvorexant, and Lemborexant for Delirium Prevention in Hospitalized Patients: A Systematic Review and Meta-Analysis.","authors":"Helen Michaela de Oliveira, Mariano Gallo Ruelas, Fernanda Valeriano Zamora, Guilherme Oliveira de Paula, Pandora Eloa Oliveira Fonseca, Laura Luiz, Pablo Ramon Fruett da Costa","doi":"10.1097/CCM.0000000000006737","DOIUrl":"10.1097/CCM.0000000000006737","url":null,"abstract":"<p><strong>Objectives: </strong>Delirium is a prevalent complication among hospitalized patients, particularly in older adults and ICU populations, and it is associated with poor prognosis. Pharmacologic interventions targeting sleep-wake regulation and neurobiologic pathways, such as orexin receptor antagonists and melatonin receptor agonists, offer promising strategies for delirium prevention. Our objective was to evaluate the preventive efficacy of suvorexant, lemborexant, and ramelteon in reducing delirium prevalence and associated clinical outcomes.</p><p><strong>Data sources: </strong>We systematically searched PubMed, Embase, Cochrane Central Register of Controlled Trials, clinical trial registries, and gray literature databases through November 2024.</p><p><strong>Study selection: </strong>Randomized controlled trials or observational studies involving hospitalized adults assessing the use of suvorexant, lemborexant, or ramelteon for delirium prevention were included.</p><p><strong>Data extraction: </strong>Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane guidelines, two reviewers extracted data independently. Quality was assessed using the Grading of Recommendations Assessment, Development, and Evaluation; Risk of Bias in Randomized Studies; and Risk of Bias in Nonrandomized Studies-of Interventions tools. Random-effects meta-analysis pooled risk ratios (RRs) and median differences with 95% CIs.</p><p><strong>Data synthesis: </strong>Twenty-four studies involving 4489 patients were analyzed, of whom 1752 (39%) received one of the evaluated pharmacotherapies. Pooled analyses showed a significant reduction in delirium prevalence in both randomized trials (RR, 0.60; 95% CI, 0.38-0.97; low certainty) and observational studies (RR, 0.54; 95% CI, 0.43-0.68; low certainty). Exploratory analyses by individual agent did not identify credible subgroup effects (interaction p > 0.1), and medication-specific findings should be interpreted with caution. No significant effects were observed for ventilator days, mortality, or length of hospital or ICU stay (very low certainty).</p><p><strong>Conclusions: </strong>Sleep-wake regulating pharmacologic agents were associated with 40%-46% relative risk reductions in delirium prevalence, based on low-certainty evidence. Although these findings are promising, the absence of credible subgroup effects limits conclusions about the comparative efficacy of individual agents. Further, high-quality, prospective trials are needed to confirm these results and to clarify the role of specific pharmacologic strategies in delirium prevention.</p>","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1781-e1789"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144282758","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}

{"title":"Early Active Mobilization of the Ventilated Patient-Is It Worth the Cost?","authors":"Donald B Chalfin","doi":"10.1097/CCM.0000000000006814","DOIUrl":"10.1097/CCM.0000000000006814","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1824-e1826"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144752634","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}

{"title":"Is There an Optimal Duration of Venoarterial Extracorporeal Membrane Oxygenation for Postcardiotomy Cardiogenic Shock?","authors":"Liangshan Wang, Xiaotong Hou","doi":"10.1097/CCM.0000000000006733","DOIUrl":"https://doi.org/10.1097/CCM.0000000000006733","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":"53 9","pages":"e1859-e1860"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945537","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}

{"title":"The authors reply.","authors":"Christopher S Cotton, Abid Alam, Sophie Tosta, Timothy G Buchman, David M Maslove","doi":"10.1097/CCM.0000000000006756","DOIUrl":"https://doi.org/10.1097/CCM.0000000000006756","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":"53 9","pages":"e1840-e1841"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945701","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}

{"title":"The Indicators Reflecting the Speed of Diaphragm Shortening: Mean Contraction Velocity Versus Peak Contraction Velocity.","authors":"Haotian Zhao, Kai Liu, Li Li","doi":"10.1097/CCM.0000000000006727","DOIUrl":"https://doi.org/10.1097/CCM.0000000000006727","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":"53 9","pages":"e1851-e1852"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945862","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}

{"title":"From Risk to Recovery: Predicting Quality of Life After Critical Illness.","authors":"Kimia Honarmand","doi":"10.1097/CCM.0000000000006776","DOIUrl":"10.1097/CCM.0000000000006776","url":null,"abstract":"","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1830-e1832"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642031","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}

{"title":"Consideration of Sociodemographics in Machine Learning-Driven Sepsis Risk Prediction.","authors":"Katrina E Hauschildt, Annie Pan, Taylor Bernstein, Andrew J Admon, Bhramar Mukherjee, Theodore J Iwashyna, Lillian Rountree","doi":"10.1097/CCM.0000000000006741","DOIUrl":"10.1097/CCM.0000000000006741","url":null,"abstract":"<p><strong>Objectives: </strong>Use of machine learning (ML) and artificial intelligence (AI) in prediction of sepsis and related outcomes is growing. Guidelines call for explicit reporting of study data demographics and stratified performance analyses to assess potential sociodemographic bias. We assessed reporting of sociodemographic data and other considerations, such as use of stratified analyses or use of so-call \"fairness metrics\", among AI and ML models in sepsis.</p><p><strong>Data sources: </strong>PubMed identified systematic and narrative reviews from which studies were extracted using PubMed and Google Scholar.</p><p><strong>Study selection: </strong>Studies were extracted from selected review articles published between January 1, 2023, and June 30, 2024, and related to sepsis, risk prediction, and ML; we extracted studies predicting sepsis, sepsis-related outcomes, or sepsis treatment in adult populations.</p><p><strong>Data extraction: </strong>Data were extracted by two reviewers using predefined forms, and included study type, outcome of interest, setting, dataset used, reporting of sample sociodemographics, inclusion of sociodemographics as predictors, stratification by sociodemographics or assessment of fairness metrics, and reporting a lack of sociodemographic considerations as a limitation.</p><p><strong>Data synthesis: </strong>Thirteen of 96 review studies (14%) met inclusion criteria: six systematic reviews and seven narrative reviews. One hundred twenty of 170 studies (71%) extracted from these review articles were included in our review. Ninety-nine of 120 studies (83%) reported a measure of geography or where data was collected. Eighty (67%) reported sex/gender, 24 (20%) reported race/ethnicity, and 4 (3%) reported other sociodemographics. Only three stratified performance results (2%) by sociodemographics; none reported formal fairness metrics. Beyond a lack of geographic heterogeneity (39/120, 33%), few studies reported a lack of sociodemographic consideration as a limitation.</p><p><strong>Conclusions: </strong>The inclusion of sociodemographic data and stratified assessment of performance-essential steps in developing equitable risk prediction tools-are possible but have yet to be consistently adopted.</p>","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1815-e1820"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246868","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}

{"title":"Factors Influencing Quality of Life After Intensive Care: A Systematic Review and Meta-Analysis.","authors":"Weilin Jiang, Qiqi Ni, Chuchu Zhang, Yuheng Dong, Jia Yi, Ran Yan, Zhenzhen Huang, Li Wang, Weijing Sui, Xiaoyan Gong, Yiyu Zhuang","doi":"10.1097/CCM.0000000000006770","DOIUrl":"10.1097/CCM.0000000000006770","url":null,"abstract":"<p><strong>Objectives: </strong>The factors influencing quality of life (QOL) after intensive care are diverse and complex, and the QOL levels remain unclear. This systematic review and meta-analysis aimed to identify the factors influencing QOL and QOL levels in post-ICU patients.</p><p><strong>Data sources: </strong>We searched eight databases: PubMed, Embase, EBSCOhost, Cochrane Library, Web of Science, China National Knowledge Infrastructure, WeiPu, and WanFang, from inception to October 15, 2024.</p><p><strong>Study selection: </strong>We included observational studies that examined factors influencing QOL in post-ICU patients.</p><p><strong>Data extraction: </strong>Two independent reviewers extracted and recorded the data.</p><p><strong>Data synthesis: </strong>A total of 65 studies, encompassing 17,298 post-ICU patients, met the inclusion criteria. The key pre-ICU factors are advanced age (per 1-yr increase) (β: -0.045 [95% CI, -0.057 to -0.033]) and female gender (odds ratio: 1.104 (95% CI, 1.035-1.177]). The key intra-ICU factors are length of ICU stay (per 1-d increase) (β: -0.012 [95% CI, -0.019 to -0.005]), length of mechanical ventilation (per 1-d increase) (β: -0.005 [95% CI, -0.009 to -0.001]), and length of hospital stay (per 1-d increase) (β: -0.107 [95% CI, -0.161 to -0.054]). The pooled overall QOL score was 58.835 (95% CI, 52.935-64.735), the pooled physical component summary (PCS) score was 49.517 (95% CI, 45.781-53.253), the pooled mental component summary (MCS) score was 53.509 (95% CI, 50.301-56.718), and the pooled overall QOL index was 0.750 (95% CI, 0.713-0.787).</p><p><strong>Conclusions: </strong>Most pre-ICU and intra-ICU factors demonstrated strong associations with post-ICU QOL. The QOL in post-ICU patients remains at a moderate level, with the PCS score indicating greater impairment than the MCS score. Further research is highly recommended to explore effective intervention strategies to improve QOL in post-ICU patients, particularly concerning their physical well-being.</p>","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1803-e1814"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12393068/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Delirium Severity Trajectories in Critically Ill Adults Using the Intensive Care Delirium Screening Checklist: A Population-Based Cohort.","authors":"Heidi Lindroth, Kirsten M Fiest, Chel Hee Lee, Kenny Adefila, Janelle Boram Lee, Sikandar Khan, Babar A Khan, Malaz A Boustani, Karla D Krewulak","doi":"10.1097/CCM.0000000000006768","DOIUrl":"10.1097/CCM.0000000000006768","url":null,"abstract":"<p><strong>Objectives: </strong>The delirium course of critically ill adults can be classified into trajectories based on the severity and duration of delirium as shown by a recent study. It is unknown whether these trajectories and associated outcomes are reproducible. We aimed to define delirium severity trajectories using the Intensive Care Delirium Screening Checklist (ICDSC) and delirium duration and evaluate the association of trajectory membership with clinical characteristics and 30-day post-discharge mortality.</p><p><strong>Design: </strong>Population-based retrospective cohort.</p><p><strong>Setting: </strong>Fourteen medical-surgical ICUs in Alberta, Canada from January 1, 2014, to December 21, 2019.</p><p><strong>Patients: </strong>We included adult patients (≥ 18 yr old) with an ICU length of stay of greater than or equal to 24 hours, an ICDSC score indicating delirium (≥ 4), and 30-day follow-up data were included. Group-based trajectory modeling identified trajectories over a 7-day period with SAS v9.4 (SAS Institute, Cary, NC).</p><p><strong>Interventions: </strong>None.</p><p><strong>Measurements and main results: </strong>Demographic (age, sex) and clinical data (2 × d ICDSC score, comorbidities, illness severity, admission reason, procedures, length of stay, in-hospital, and 30-d post-discharge mortality) were captured from electronic medical records. In total, 21,071 patients were included, with a median age of 59 years (interquartile range, 46-70 yr), 59% male ( n = 12,547), and 3% died at 30 days ( n = 541). The five-trajectory model was selected. These trajectories followed previously defined patterns: 1) Mild-Brief (19.4%); 2); Severe-Rapid Recovers (18.5%); 3) Severe-Slow Recovers (31%); 4) Mild-Accelerating (14.1%); and 5) Severe-Nonrecovers (16.9%). Trajectory membership was not significantly associated with 30-day post-discharge mortality; however, clinically relevant trends were observed.</p><p><strong>Conclusions: </strong>The current study substantiates the proof-of-concept model of five delirium severity trajectories. Trajectory membership did not predict 30-day post-discharge mortality. Further research is needed to understand the associations between trajectory membership, biological-based biomarkers, and patient-relevant outcomes.</p>","PeriodicalId":10765,"journal":{"name":"Critical Care Medicine","volume":" ","pages":"e1748-e1758"},"PeriodicalIF":6.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144495057","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}