Pub Date : 2025-12-31DOI: 10.1016/j.jcrc.2025.155407
Niall T. Prendergast , Chukwudi A. Onyemekwu , Kelly M. Toth , Christopher A. Franz , Georgios D. Kitsios , Bryan J. McVerry , Pratik P. Pandharipande , E. Wesley Ely , Timothy D. Girard
Objective
To derive and validate a simple, transparent model that quantifies risk for sedative-associated delirium in mechanically ventilated ICU patients, which could be used to guide decisions about personalized sedation.
Design
We performed backward stepwise logistic regression to derive a model predictive of sedative-associated delirium. We validated this model internally using hundredfold bootstrapping. We then validated this model externally in a separate prospective cohort of mechanically ventilated ICU patients.
Setting
Five US hospitals, including one academic, one private, and three veterans hospitals.
Patients
The parent cohort consisted of 1040 patients with either septic or cardiogenic shock, acute respiratory failure, or both. From the parent cohort 836 patients who received mechanical ventilation were selected to comprise the derivation cohort.
Interventions
None.
Measurements and main results
Backwards stepwise regression produced a model with age, BMI, sepsis, SOFA, malignancy, COPD, sex, and doses of opioids, propofol, and benzodiazepines as predictors of sedative-associated delirium. The model had very good discriminative power, with an area under the receiver-operator curve (AUROC) of 0.83. Internal validation via bootstrapping showed preserved discriminatory function with an AUROC of 0.81 and graphical evidence of good calibration. External validation in a separate set of 340 patients showed good discrimination, with AUROC of 0.70.
Conclusions
Risk for sedative-associated delirium during acute respiratory failure requiring mechanical ventilation can be quantified using a simple, transparent model, which can now be validated in a prospective study.
{"title":"Derivation and validation of a prediction rule for sedative-associated delirium during acute respiratory failure requiring mechanical ventilation","authors":"Niall T. Prendergast , Chukwudi A. Onyemekwu , Kelly M. Toth , Christopher A. Franz , Georgios D. Kitsios , Bryan J. McVerry , Pratik P. Pandharipande , E. Wesley Ely , Timothy D. Girard","doi":"10.1016/j.jcrc.2025.155407","DOIUrl":"10.1016/j.jcrc.2025.155407","url":null,"abstract":"<div><h3>Objective</h3><div>To derive and validate a simple, transparent model that quantifies risk for sedative-associated delirium in mechanically ventilated ICU patients, which could be used to guide decisions about personalized sedation.</div></div><div><h3>Design</h3><div>We performed backward stepwise logistic regression to derive a model predictive of sedative-associated delirium. We validated this model internally using hundredfold bootstrapping. We then validated this model externally in a separate prospective cohort of mechanically ventilated ICU patients.</div></div><div><h3>Setting</h3><div>Five US hospitals, including one academic, one private, and three veterans hospitals.</div></div><div><h3>Patients</h3><div>The parent cohort consisted of 1040 patients with either septic or cardiogenic shock, acute respiratory failure, or both. From the parent cohort 836 patients who received mechanical ventilation were selected to comprise the derivation cohort.</div></div><div><h3>Interventions</h3><div>None.</div></div><div><h3>Measurements and main results</h3><div>Backwards stepwise regression produced a model with age, BMI, sepsis, SOFA, malignancy, COPD, sex, and doses of opioids, propofol, and benzodiazepines as predictors of sedative-associated delirium. The model had very good discriminative power, with an area under the receiver-operator curve (AUROC) of 0.83. Internal validation via bootstrapping showed preserved discriminatory function with an AUROC of 0.81 and graphical evidence of good calibration. External validation in a separate set of 340 patients showed good discrimination, with AUROC of 0.70.</div></div><div><h3>Conclusions</h3><div>Risk for sedative-associated delirium during acute respiratory failure requiring mechanical ventilation can be quantified using a simple, transparent model, which can now be validated in a prospective study.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155407"},"PeriodicalIF":2.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880562","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}
Pub Date : 2025-12-31DOI: 10.1016/j.jcrc.2025.155413
Wael Ghaly Elmasry , Ahmed Mohammed Abdelbaky , Ahmed Hossameldin Ahmed Awad
{"title":"Comment on “Is ketamine safe for traumatic brain injury? A systematic review and meta-analysis”","authors":"Wael Ghaly Elmasry , Ahmed Mohammed Abdelbaky , Ahmed Hossameldin Ahmed Awad","doi":"10.1016/j.jcrc.2025.155413","DOIUrl":"10.1016/j.jcrc.2025.155413","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155413"},"PeriodicalIF":2.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880560","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}
Pub Date : 2025-12-31DOI: 10.1016/j.jcrc.2025.155412
Prateek Pandey , Amit Kumar Mishra , Nimesh Kumar Dubey
{"title":"Comment on “Associations of positive end-expiratory pressure (PEEP) with extubation failure and clinical outcomes in invasively ventilated patients with acute brain injury: A secondary analysis of the ENIO study”","authors":"Prateek Pandey , Amit Kumar Mishra , Nimesh Kumar Dubey","doi":"10.1016/j.jcrc.2025.155412","DOIUrl":"10.1016/j.jcrc.2025.155412","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155412"},"PeriodicalIF":2.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880561","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}
Pub Date : 2025-12-29DOI: 10.1016/j.jcrc.2025.155406
Judy Edworthy , Elif Özcan
{"title":"What every intensivist should know about how to survive alarm fatigue with the F.ALARM method","authors":"Judy Edworthy , Elif Özcan","doi":"10.1016/j.jcrc.2025.155406","DOIUrl":"10.1016/j.jcrc.2025.155406","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155406"},"PeriodicalIF":2.9,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145863056","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}
Pub Date : 2025-12-24DOI: 10.1016/j.jcrc.2025.155419
Donghwan Yun , Ari Hong , Kwangsoo Kim , Jeonghwan Lee , Yaerim Kim , Kyubok Jin , Ji Eun Kim , Shin Young Ahn , Gang-Jee Ko , Seokwoo Park , Sejoong Kim , Hee-Yeon Jung , Jang-Hee Cho , Sun-Hee Park , Eun Sil Koh , Sungjin Chung , Jung Pyo Lee , Jung Nam An , Sung Gyun Kim , Dong Ki Kim , Seung Seok Han
Purpose
The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor outcomes. This study aimed to develop and validate machine learning survival models for predicting ESKD in patients receiving continuous kidney replacement therapy (CKRT) for AKI.
Methods
A total of 1444 AKI patients who survived beyond one week after CKRT were included. Data from six hospitals were used to develop the model, and data from two hospitals formed the validation cohort. A comprehensive set of 122 clinical and laboratory variables was utilized to construct prediction models, including CoxBoost, Elastic-Net Cox, random survival forest, and Cox proportional hazards models. Model performance was assessed using the concordance index (C-index).
Results
The CoxBoost model demonstrated superior performance, with a C-index of 0.811 (95 % confidence interval, 0.756–0.865) in the internal validation cohort and 0.742 (0.700–0.788) in the external validation cohort. This model reduced the variable set to 23 key parameters, with 24-h urine output on day 7 of CKRT, preexisting chronic kidney disease, and day 7 kidney function and systemic laboratory measures identified as the most critical predictors. A simplified scoring system derived from six binarized variables effectively stratified patients into low-, intermediate-, and high-risk groups for ESKD progression.
Conclusion
This machine learning survival approach highlights a set of critical, readily measurable predictors of ESKD risk and may support targeted risk stratification, bedside decision-making, and more efficient allocation of post-CKRT surveillance and kidney-care resources.
{"title":"Machine learning survival analysis for predicting kidney disease progression in patients with acute kidney injury undergoing continuous kidney replacement therapy: An analysis of the LINKA database","authors":"Donghwan Yun , Ari Hong , Kwangsoo Kim , Jeonghwan Lee , Yaerim Kim , Kyubok Jin , Ji Eun Kim , Shin Young Ahn , Gang-Jee Ko , Seokwoo Park , Sejoong Kim , Hee-Yeon Jung , Jang-Hee Cho , Sun-Hee Park , Eun Sil Koh , Sungjin Chung , Jung Pyo Lee , Jung Nam An , Sung Gyun Kim , Dong Ki Kim , Seung Seok Han","doi":"10.1016/j.jcrc.2025.155419","DOIUrl":"10.1016/j.jcrc.2025.155419","url":null,"abstract":"<div><h3>Purpose</h3><div>The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor outcomes. This study aimed to develop and validate machine learning survival models for predicting ESKD in patients receiving continuous kidney replacement therapy (CKRT) for AKI.</div></div><div><h3>Methods</h3><div>A total of 1444 AKI patients who survived beyond one week after CKRT were included. Data from six hospitals were used to develop the model, and data from two hospitals formed the validation cohort. A comprehensive set of 122 clinical and laboratory variables was utilized to construct prediction models, including CoxBoost, Elastic-Net Cox, random survival forest, and Cox proportional hazards models. Model performance was assessed using the concordance index (C-index).</div></div><div><h3>Results</h3><div>The CoxBoost model demonstrated superior performance, with a C-index of 0.811 (95 % confidence interval, 0.756–0.865) in the internal validation cohort and 0.742 (0.700–0.788) in the external validation cohort. This model reduced the variable set to 23 key parameters, with 24-h urine output on day 7 of CKRT, preexisting chronic kidney disease, and day 7 kidney function and systemic laboratory measures identified as the most critical predictors. A simplified scoring system derived from six binarized variables effectively stratified patients into low-, intermediate-, and high-risk groups for ESKD progression.</div></div><div><h3>Conclusion</h3><div>This machine learning survival approach highlights a set of critical, readily measurable predictors of ESKD risk and may support targeted risk stratification, bedside decision-making, and more efficient allocation of post-CKRT surveillance and kidney-care resources.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155419"},"PeriodicalIF":2.9,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145834097","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}
Pub Date : 2025-12-23DOI: 10.1016/j.jcrc.2025.155420
Diego Ugalde , Jorge Montoya , Juan N. Medel , Daniela Eisen , Antoine Vieillard-Baron
Background
Fluid administration is frequent in critically ill patients and its used should be tailored. A recent window to evaluate the superior vena cava variability (SVC) obtained with transthoracic echocardiography might allow fluid responsiveness prediction. Our objective is to evaluate its diagnostic accuracy as such.
Methods
We conducted a prospective study in a single intensive care unit in an academic center, including consecutive sedated, ventilated adults with elevated lactate or abnormal clinical perfusion or norepinephrine infusion of 0,1 μg/kg/min or more with <7 days of stay, excluding patients with inadequate acoustic window or special contact precautions. We performed a transthoracic critical care echocardiography adding the SVC respiratory variability and then a mini-fluid challenge as a reference test to evaluate its diagnostic accuracy and obtaining the area under receiver operating characteristic curve (AUROC).
Results
From 100 patients, 55 were excluded, mainly because of insufficient acoustic window. In 45 analysed patients, 16 were fluid responders and 29 non-responders. SVC had an AUROC of 0,88. A cutoff value of 10,14 % had 93.75 % sensitivity and 75.86 % specificity with Youden's index of 0,69,912 while 19,42 % was a high specificity cutoff and 16,03 % a balanced one.
Conclusion
Transthoracic SVC variation is hard to obtain and has a good diagnostic accuracy for detecting fluid responsiveness and it could be used in some ventilated patients with hemodynamic instability.
{"title":"Diagnostic accuracy of superior vena cava variability by transthoracic echocardiography as a fluid responsiveness predictor in critically ill patients","authors":"Diego Ugalde , Jorge Montoya , Juan N. Medel , Daniela Eisen , Antoine Vieillard-Baron","doi":"10.1016/j.jcrc.2025.155420","DOIUrl":"10.1016/j.jcrc.2025.155420","url":null,"abstract":"<div><h3>Background</h3><div>Fluid administration is frequent in critically ill patients and its used should be tailored. A recent window to evaluate the superior vena cava variability (SVC) obtained with transthoracic echocardiography might allow fluid responsiveness prediction. Our objective is to evaluate its diagnostic accuracy as such.</div></div><div><h3>Methods</h3><div>We conducted a prospective study in a single intensive care unit in an academic center, including consecutive sedated, ventilated adults with elevated lactate or abnormal clinical perfusion or norepinephrine infusion of 0,1 μg/kg/min or more with <7 days of stay, excluding patients with inadequate acoustic window or special contact precautions. We performed a transthoracic critical care echocardiography adding the SVC respiratory variability and then a mini-fluid challenge as a reference test to evaluate its diagnostic accuracy and obtaining the area under receiver operating characteristic curve (AUROC).</div></div><div><h3>Results</h3><div>From 100 patients, 55 were excluded, mainly because of insufficient acoustic window. In 45 analysed patients, 16 were fluid responders and 29 non-responders. SVC had an AUROC of 0,88. A cutoff value of 10,14 % had 93.75 % sensitivity and 75.86 % specificity with Youden's index of 0,69,912 while 19,42 % was a high specificity cutoff and 16,03 % a balanced one.</div></div><div><h3>Conclusion</h3><div>Transthoracic SVC variation is hard to obtain and has a good diagnostic accuracy for detecting fluid responsiveness and it could be used in some ventilated patients with hemodynamic instability.</div><div>Registration: <span><span>ClinicalTrials.gov</span><svg><path></path></svg></span>: <span><span>NCT05211765</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155420"},"PeriodicalIF":2.9,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145827238","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}
Pub Date : 2025-12-22DOI: 10.1016/j.jcrc.2025.155410
Susu He , Yongkang Wang
{"title":"Letter to the Editor “The association between albumin-corrected anion gap and in-hospital mortality in critically ill COPD patients: A multicenter retrospective study from eICU collaborative research database”","authors":"Susu He , Yongkang Wang","doi":"10.1016/j.jcrc.2025.155410","DOIUrl":"10.1016/j.jcrc.2025.155410","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155410"},"PeriodicalIF":2.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145819271","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}
Pub Date : 2025-12-22DOI: 10.1016/j.jcrc.2025.155400
Anis Chaba , Ra'eesa Doola , Kevin B. Laupland , Kiran Shekar , Aashish Kumar , Alexis Tabah , Mahesh Ramanan , Felicity Edwards , Rinaldo Bellomo , Kyle C. White , On behalf of Queensland Critical Care Research Network (QCCRN)
Background
Feeding-associated hypophosphataemia in critically ill patients is a well-recognised phenomenon that has been associated with adverse outcomes. However, the research has been limited by various definitions and small sample sizes.
Methods
A multicentre retrospective cohort study of critically ill patients from six intensive care units in Queensland, Australia. Feeding-associated hypophosphataemia was defined as a decrease of >0.16 mmol.L−1 and a phosphate nadir of 0.80 ≤ mmol.L−1 within 24 h of nutrition commencement.
Results
A total of 10,672 patients, with a mean age of 56 ± 17 years and a mean Acute Physiology and Chronic Health Evaluation III score of 63 ± 27, were included. On the day of nutrition commencement, 7801 (73 %) patients were invasively ventilated, and 7053 (66 %) were on vasopressor support. Within 24 h of nutrition, 1298 (13 %) developed moderate to severe feeding-associated hypophosphataemia. Crude hospital mortality was higher in the moderate/severe feeding-associated hypophosphatemia group compared to the control group (18 % vs. 14 %, p < 0.001). Caloric quantity (aOR = 1.06; 95 %CI [1.02, 1.10]), feeding commenced within 48 h of admission (aOR = 1.56; 95 %CI [1.28, 1.91]) and receiving insulin on the day of feeding start (aOR = 1.22; 95 %CI [1.07, 1.40]) were independently associated with developing feeding-associated hypophosphataemia. After adjustment for confounders, moderate-severe feeding-associated hypophosphataemia was independently associated with an increased risk of 30-day hospital mortality (HR = 1.30; 95 %CI [1.08 to 1.56]).
Conclusion
In a large group of critically ill patients, almost one in seven patients experienced moderate to severe hypophosphatemia after starting to consume calories. The dose of caloric intake and early nutrition initiation were linked to its development. Additionally, moderate to severe hypophosphatemia was independently associated with a higher risk of 30-day hospital mortality.
背景:在危重患者中,喂养相关的低磷血症是一种公认的与不良后果相关的现象。然而,研究受到各种定义和小样本量的限制。方法:对澳大利亚昆士兰州6个重症监护病房的危重患者进行多中心回顾性队列研究。喂养相关性低磷血症定义为>.16 mmol的减少。L-1和磷酸盐最低点0.80≤mmol。L-1在营养开始后24小时内。结果:共纳入10672例患者,平均年龄56±17岁,急性生理和慢性健康评估III平均评分63±27分。在营养开始当天,7801例(73%)患者接受有创通气,7053例(66%)患者接受血管加压素支持。在喂食24小时内,1298(13%)发生了中度至重度喂食相关的低磷血症。与对照组相比,中度/重度喂养相关低磷血症组的粗死亡率更高(18% vs. 14%)。结论:在一大批危重患者中,几乎七分之一的患者在开始摄入卡路里后出现中度至重度低磷血症。热量摄入的剂量和早期营养开始与它的发展有关。此外,中度至重度低磷血症与较高的30天住院死亡率风险独立相关。
{"title":"Feeding-associated hypophosphatemia in critically ill patients. A multicentre, observational study","authors":"Anis Chaba , Ra'eesa Doola , Kevin B. Laupland , Kiran Shekar , Aashish Kumar , Alexis Tabah , Mahesh Ramanan , Felicity Edwards , Rinaldo Bellomo , Kyle C. White , On behalf of Queensland Critical Care Research Network (QCCRN)","doi":"10.1016/j.jcrc.2025.155400","DOIUrl":"10.1016/j.jcrc.2025.155400","url":null,"abstract":"<div><h3>Background</h3><div>Feeding-associated hypophosphataemia in critically ill patients is a well-recognised phenomenon that has been associated with adverse outcomes. However, the research has been limited by various definitions and small sample sizes.</div></div><div><h3>Methods</h3><div>A multicentre retrospective cohort study of critically ill patients from six intensive care units in Queensland, Australia. Feeding-associated hypophosphataemia was defined as a decrease of >0.16 mmol.L<sup>−1</sup> and a phosphate nadir of 0.80 ≤ mmol.L<sup>−1</sup> within 24 h of nutrition commencement.</div></div><div><h3>Results</h3><div>A total of 10,672 patients, with a mean age of 56 ± 17 years and a mean Acute Physiology and Chronic Health Evaluation III score of 63 ± 27, were included. On the day of nutrition commencement, 7801 (73 %) patients were invasively ventilated, and 7053 (66 %) were on vasopressor support. Within 24 h of nutrition, 1298 (13 %) developed moderate to severe feeding-associated hypophosphataemia. Crude hospital mortality was higher in the moderate/severe feeding-associated hypophosphatemia group compared to the control group (18 % vs. 14 %, <em>p</em> < 0.001). Caloric quantity (aOR = 1.06; 95 %CI [1.02, 1.10]), feeding commenced within 48 h of admission (aOR = 1.56; 95 %CI [1.28, 1.91]) and receiving insulin on the day of feeding start (aOR = 1.22; 95 %CI [1.07, 1.40]) were independently associated with developing feeding-associated hypophosphataemia. After adjustment for confounders, moderate-severe feeding-associated hypophosphataemia was independently associated with an increased risk of 30-day hospital mortality (HR = 1.30; 95 %CI [1.08 to 1.56]).</div></div><div><h3>Conclusion</h3><div>In a large group of critically ill patients, almost one in seven patients experienced moderate to severe hypophosphatemia after starting to consume calories. The dose of caloric intake and early nutrition initiation were linked to its development. Additionally, moderate to severe hypophosphatemia was independently associated with a higher risk of 30-day hospital mortality.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155400"},"PeriodicalIF":2.9,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145819291","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}
Pub Date : 2025-12-20DOI: 10.1016/j.jcrc.2025.155408
Rafael Badenes , Thomas Godet , Yuki Kotani
{"title":"Lighting the path to personalized sedation in the ICU","authors":"Rafael Badenes , Thomas Godet , Yuki Kotani","doi":"10.1016/j.jcrc.2025.155408","DOIUrl":"10.1016/j.jcrc.2025.155408","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155408"},"PeriodicalIF":2.9,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786899","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}
Pub Date : 2025-12-20DOI: 10.1016/j.jcrc.2025.155416
Ghada Hussein ELadly , Salwa Omar Elkhattab Amin , Nagwa Ali Sabri , May Ahmed Shawki
{"title":"Authors reply: “The clinical outcome of Montelukast versus co-enzyme Q10 in adult patients with sepsis: A randomized controlled clinical trial”","authors":"Ghada Hussein ELadly , Salwa Omar Elkhattab Amin , Nagwa Ali Sabri , May Ahmed Shawki","doi":"10.1016/j.jcrc.2025.155416","DOIUrl":"10.1016/j.jcrc.2025.155416","url":null,"abstract":"","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"92 ","pages":"Article 155416"},"PeriodicalIF":2.9,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786897","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}