The Cost of Inequity: Financial Burden of Neighborhood Disparities in Pediatric Critical Care Use [0.03%]
不平等的代价：儿科重症监护使用的社区差异带来的经济负担
Carlie N Myers,Qing Duan,Carley L Riley et al.
Carlie N Myers et al.
Background: Disparities in health care access and use among critically ill pediatric populations disproportionately affect children from marginalized communities, leading to worse health outcomes and increased financial b...
Barriers to Adopting Evidence From Bayesian Adaptive Clinical Trials in Critical Care: A Randomized Experiment With US Intensivists [0.03%]
重症监护中采用贝叶斯自适应临床试验证据的障碍：与美国重症医师的合作随机实验
Brian E Malley,Joel M Levin,Jeremy M Kahn et al.
Brian E Malley et al.
Background: Randomized clinical trials are a mainstay of medical research, but have drawbacks including time and cost. Bayesian adaptive trials can improve the speed and efficiency of clinical trials and are an increasing...
Continuous Opioid Infusion Among Patients Who Receive Mechanical Ventilation and Who Transition to Comfort-Focused Care [0.03%]
接受机械通气并转为舒适护理患者的连续阿片类药物输注治疗
Justin M Rucci,Tenzin Dechen,Ashley O&#x;Donoghue et al.
Justin M Rucci et al.
Predictors of Patient-Reported Financial Hardship in Patients Hospitalized With Critical Illness and Its Association With Patient Outcomes [0.03%]
重症患者住院经济负担的预测因素及其与患者结局的关系
Alison M Uyeda,Peter May,C Clare Pytel et al.
Alison M Uyeda et al.
Background: A high burden of financial hardship has been demonstrated in critically ill patients. Understanding the sociodemographic and clinical risk factors for financial hardship and its association with patient outcom...
Needs of Acute Respiratory Failure Survivors Throughout 1 Year of Recovery: A Qualitative Analysis Using the Timing It Right Framework [0.03%]
急性呼吸衰竭幸存者一年恢复期内的需求：使用时机合适的框架进行的定性分析
Jasmine A Silvestri,Craig Kwiatkowski,Erich M Dress et al.
Jasmine A Silvestri et al.
Background: Although ICU mortality is declining for the > 1 million Americans with acute respiratory failure (ARF) annually, little evidence exists to guide care after hospital discharge, and few studies have explored lon...
Testing the Transportability of Sepsis Subtypes to Patients With ARDS for Postdischarge Outcomes [0.03%]
评估脓毒症亚型在出院后结局的ARDS患者中是否具有外推性
Robert J Flick,Thomas S Valley,Mari Armstrong-Hough et al.
Robert J Flick et al.
Background: Survivors of ARDS experience significant morbidity and mortality after hospital discharge. A latent class analysis (LCA) proposed 5 sepsis survivor subtypes that may be of use for ARDS patients as well, but di...
Surrogate Perspectives on the Communication and Support Processes That Enable Them as Active Decision-Makers Across Chronic Critical Illness [0.03%]
重症慢性危重病患者家属作为主动决策者的沟通和支持过程的代理视角研究
Amanda C Moale,Douglas B White,Bryan J McVerry et al.
Amanda C Moale et al.
Background: Chronic critical illness (CCI) is marked by persistent respiratory failure, with patients commonly receiving tracheostomies for ongoing ventilation across ICU and post-ICU settings. Well-documented communicati...
Relationship Between ICU Delirium and Change in Quality of Life, Mood, and Cognition Over 12 Months in Survivors of Acute Respiratory Failure [0.03%]
急性呼吸衰竭幸存者重症监护病房谵妄与12个月内的生活质量、情绪和认知变化之间的关系
Haley Ferguson,Adriano Sanjuan,Anthony J Perkins et al.
Haley Ferguson et al.
Background: Both acute respiratory failure (ARF) and ICU delirium are risk factors for postintensive care syndrome but whether quality of life (QoL) differs between delirium and subsyndromal delirium (SSD) over time is no...
Treatment Response Phenotyping Informed by Patient Physiologic Characteristics Could Drive Precision Critical Care Through Augmented Intelligence: A Narrative Review [0.03%]
基于患者生理特征的治疗反应分型可通过增强智能推动精准危重症医学：叙事综述
Andre L Holder,Gwénolé Abgrall,Ran Xiao et al.
Andre L Holder et al.
The paradigm of precision medicine often focuses on novel biomarkers, but other types of data directly applicable to patient care could individualize treatment. The response to a cardiovascular and pulmonary intervention is important to cri...
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia [0.03%]
重症社区获得性肺炎短期治疗成功患者的机器学习预测模型的建立
Mengou Zhu,Wan-Ting Liao,Alec Peltekian et al.
Mengou Zhu et al.