Bruna Brandao Barreto, Mariana Luz, Julia Tavares-Pereira, Dimitri Gusmao-Flores
{"title":"Supporting the bereaved child in the adult ICU: let’s take the first step!","authors":"Bruna Brandao Barreto, Mariana Luz, Julia Tavares-Pereira, Dimitri Gusmao-Flores","doi":"10.1007/s00134-025-07876-3","DOIUrl":"https://doi.org/10.1007/s00134-025-07876-3","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"10 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712783","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}
Veerle De Sloovere, Katarzyna Kotfis, Geert Meyfroidt
{"title":"Publisher Correction: Sedatives in neurocritical care: the old, the new, the future","authors":"Veerle De Sloovere, Katarzyna Kotfis, Geert Meyfroidt","doi":"10.1007/s00134-025-07868-3","DOIUrl":"https://doi.org/10.1007/s00134-025-07868-3","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"20 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712782","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 Doppler combined assessment of splanchnic perfusion and congestion in cardiogenic shock: a physiological approach","authors":"Francesco Corradi, Guido Tavazzi","doi":"10.1007/s00134-025-07855-8","DOIUrl":"https://doi.org/10.1007/s00134-025-07855-8","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"29 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712779","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}
Giulia Catozzi, Tommaso Pozzi, Domenico Nocera, Luigi Camporota
{"title":"Oxygenation indexes for classification of severity of ARDS. Authors' reply.","authors":"Giulia Catozzi, Tommaso Pozzi, Domenico Nocera, Luigi Camporota","doi":"10.1007/s00134-025-07850-z","DOIUrl":"https://doi.org/10.1007/s00134-025-07850-z","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":" ","pages":""},"PeriodicalIF":27.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143700388","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":"How we use critical care ultrasound in the management of ventilatory settings in ARDS patients","authors":"Silvia Mongodi, Luigi Camporota","doi":"10.1007/s00134-025-07851-y","DOIUrl":"https://doi.org/10.1007/s00134-025-07851-y","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"31 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661372","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":"Optimizing non-intubated respiratory support in COVID-19: evaluating the impact of bundle of care strategy on awake prone positioning tolerance.","authors":"Beilei Chen, Sheng Li","doi":"10.1007/s00134-025-07860-x","DOIUrl":"https://doi.org/10.1007/s00134-025-07860-x","url":null,"abstract":"","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":" ","pages":""},"PeriodicalIF":27.1,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648500","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}
Juan C. Rojas, Patrick G. Lyons, Kaveri Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour, Kevin G. Buell, Kevin D. Smith, Catherine A. Gao, Saki Amagai, Chengsheng Mao, Yuan Luo, Anna K. Barker, Mark Nuppnau, Michael Hermsen, Jay L. Koyner, Haley Beck, Rachel Baccile, Zewei Liao, Kyle A. Carey, Brenna Park-Egan, Xuan Han, Alexander C. Ortiz, Benjamin E. Schmid, Gary E. Weissman, Chad H. Hochberg, Nicholas E. Ingraham, William F. Parker
{"title":"A common longitudinal intensive care unit data format (CLIF) for critical illness research","authors":"Juan C. Rojas, Patrick G. Lyons, Kaveri Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour, Kevin G. Buell, Kevin D. Smith, Catherine A. Gao, Saki Amagai, Chengsheng Mao, Yuan Luo, Anna K. Barker, Mark Nuppnau, Michael Hermsen, Jay L. Koyner, Haley Beck, Rachel Baccile, Zewei Liao, Kyle A. Carey, Brenna Park-Egan, Xuan Han, Alexander C. Ortiz, Benjamin E. Schmid, Gary E. Weissman, Chad H. Hochberg, Nicholas E. Ingraham, William F. Parker","doi":"10.1007/s00134-025-07848-7","DOIUrl":"https://doi.org/10.1007/s00134-025-07848-7","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Rationale</h3><p>Critical illness threatens millions of lives annually. Electronic health record (EHR) data are a source of granular information that could generate crucial insights into the nature and optimal treatment of critical illness.</p><h3 data-test=\"abstract-sub-heading\">Objectives</h3><p>Overcome the data management, security, and standardization barriers to large-scale critical illness EHR studies.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>We developed a Common Longitudinal Intensive Care Unit (ICU) data Format (CLIF), an open-source database format to harmonize EHR data necessary to study critical illness. We conducted proof-of-concept studies with a federated research architecture: (1) an external validation of an in-hospital mortality prediction model for critically ill patients and (2) an assessment of 72-h temperature trajectories and their association with mechanical ventilation and in-hospital mortality using group-based trajectory models.</p><h3 data-test=\"abstract-sub-heading\">Measurements and main results</h3><p>We converted longitudinal data from 111,440 critically ill patient admissions from 2020 to 2021 (mean age 60.7 years [standard deviation 17.1], 31% Black, 6% Hispanic, 44% female) across 9 health systems and 38 hospitals into CLIF databases. The in-hospital mortality prediction model had varying performance across CLIF consortium sites (AUCs: 0.73–0.81, Brier scores: 0.06–0.10) with degradation in performance relative to the derivation site. Temperature trajectories were similar across health systems. Hypothermic and hyperthermic-slow-resolver patients consistently had the highest mortality.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>CLIF enables transparent, efficient, and reproducible critical care research across diverse health systems. Our federated case studies showcase CLIF’s potential for disease sub-phenotyping and clinical decision-support evaluation. Future applications include pragmatic EHR-based trials, target trial emulations, foundational artificial intelligence (AI) models of critical illness, and real-time critical care quality dashboards.</p>","PeriodicalId":13665,"journal":{"name":"Intensive Care Medicine","volume":"40 1","pages":""},"PeriodicalIF":38.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143608048","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}