自引率: 10.4%
被引量: 2580
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投稿须知/期刊简介:
The American Journal of Critical Care is the premier source for evidence-based critical care practice. The American Journal of Critical Care’s mission is to provide its readers with clinically relevant content in every issue and serve as a vehicle of the American Association of Critical-Care Nurses for achieving its mission of improving the care of critically patients and their families. Authors are invited to submit original manuscripts describing investigations, advances, or observations from all specialties related to the care of critically ill patients. American Journal of Critical Care publishes clinical studies, basic research studies, preliminary/short communications, case reports, reports on new apparatus and techniques, clinical/basic science reviews, guest editorials, and letters to the Editors. Papers promoting collaborative practice and research are encouraged.
期刊描述简介:
The American Journal of Critical Care is the premier source for evidence-based critical care practice. The American Journal of Critical Care’s mission is to provide its readers with clinically relevant content in every issue and serve as a vehicle of the American Association of Critical-Care Nurses for achieving its mission of improving the care of critically patients and their families. Authors are invited to submit original manuscripts describing investigations, advances, or observations from all specialties related to the care of critically ill patients. American Journal of Critical Care publishes clinical studies, basic research studies, preliminary/short communications, case reports, reports on new apparatus and techniques, clinical/basic science reviews, guest editorials, and letters to the Editors. Papers promoting collaborative practice and research are encouraged.
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Patient, Practice, and Organizational Factors Associated With Early Mobility Performance in Critically Ill Adults.
Adoption of early mobility interventions into intensive care unit (ICU) practice has been slow and varied. To examine factors associated with early mobility performance in critically ill adults and evaluate factors' effects on predicting next-day early mobility performance. A secondary analysis of 66 ICUs' data from patients admitted for at least 24 hours. Mixed-effects logistic regression modeling was done, with area under the receiver operating characteristic curve (AUC) calculated. In 12 489 patients, factors independently associated with higher odds of next-day mobility included significant pain (adjusted odds ratio [AOR], 1.16; 95% CI, 1.09-1.23), documented sedation target (AOR, 1.09; 95% CI, 1.01-1.18), performance of spontaneous awakening trials (AOR, 1.77; 95% CI, 1.59-1.96), spontaneous breathing trials (AOR, 2.35; 95% CI, 2.14-2.58), mobility safety screening (AOR, 2.26; 95% CI, 2.04-2.49), and prior-day physical/occupational therapy (AOR, 1.44; 95% CI, 1.30-1.59). Factors independently associated with lower odds of next-day mobility included deep sedation (AOR, 0.44; 95% CI, 0.39-0.49), delirium (AOR, 0.63; 95% CI, 0.59-0.69), benzodiazepine administration (AOR, 0.85; 95% CI, 0.79-0.92), physical restraints (AOR, 0.74; 95% CI, 0.68-0.80), and mechanical ventilation (AOR, 0.73; 95% CI, 0.68-0.78). Black and Hispanic patients had lower odds of next-day mobility than other patients. Models incorporating patient, practice, and between-unit variations displayed high discriminant accuracy (AUC, 0.853) in predicting next-day early mobility performance. Collectively, several modifiable and nonmodifiable factors provide excellent prediction of next-day early mobility performance.
被引量：- 发表：2024
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Readmissions in Sepsis Survivors: Discharge Setting Risks.
Sepsis is a complex condition with high morbidity and mortality. Prompt treatment can improve survival, but for survivors the risk of deterioration and readmission remains high. Little is known about the association between discharge setting and readmission among sepsis survivors. To examine 30-day hospital readmission rates in adult sepsis survivors by the type of setting to which patients were discharged. The Medical Information Mart for Intensive Care database was used to identify adult sepsis survivors and evaluate 30-day readmission by discharge setting. A χ2 contingency analysis was used with each factor and presence/absence of readmission. The Kruskal-Wallis test was used to compare readmissions across discharge settings. From our sample (N = 7107; mean age 66.5 years; 46.2% women), 23.6% (n = 1674) were readmitted within 30 days and of those readmitted, 30% were readmitted between 1 and 3 times. Discharge setting (P < .001) and age (P = .02) were significantly associated with readmission, but sex, ethnicity, and insurance type were not. High numbers of readmissions were seen in patients discharged to skilled nursing facilities (29.6%), home health care (26.9%), and home (15.0%). Similar high comorbidity burden and acuteness of illness were seen in patients discharged to these settings. Sepsis survivors discharged to skilled nursing facilities, home health care, and home are at high risk for 30-day readmission. The rates of readmission from home health care and home settings were alarming. Often patients are discharged to inappropriate settings, placing them at risk for residual sepsis and readmission. Future research should focus on appropriate timing of hospital discharge and transition to the most appropriate discharge setting.
被引量：- 发表：2024
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Perceptions and Behaviors of Nurses and Physicians During Bedside Rounds in Medical-Surgical Units.
Communication and collaboration among health care professionals during bedside rounds improve patient outcomes and nurses' and physicians' satisfaction. To determine barriers to nurse-physician communication during bedside rounds and identify opportunities to improve nurse-physician collaboration at an academic medical center. A survey with Likert-scale and open-ended questions regarding professional attitudes toward nurse-physician communication was administered to 220 nurses and physicians in medical-surgical units to assess perceptions of participation in bedside rounds. After the survey was given, observational data from 1007 bedside rounds were collected via a standardized data collection tool. Nurses and physicians perceived different barriers to including nurses in bedside rounds. Nurses most often cited being unaware that bedside rounds were occurring (38 of 46 nurses [83%]); physicians most often cited nurse unavailability (43 of 52 physicians [83%]). Of 1007 observed rounds, 602 (60%) involved in-person contact of nurses and physicians; 418 (69%) of the 602 included a conversation between the nurse and physician about the nurse's concerns. Of 355 rounds with no in-person or telephone contact between nurses and physicians, the medicine team did not contact the nurse in 284 (80%). Conversations about nurses' concerns occurred more often after physician-initiated contacts (73% of 369 contacts) and nurse-initiated contacts (74% of 93 contacts) than after chance encounters (57% of 140 contacts). Initiating discussions of care between nurses and physicians and discussing nurses' concerns during bedside rounds have multiple benefits.
被引量：- 发表：2024
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Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.
Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden Scale, often fail to capture ICU-specific factors, limiting their predictive accuracy. Although artificial intelligence models offer improved accuracy, their "black box" nature poses a barrier to clinical adoption. To develop an artificial intelligence-based HAPI risk-assessment model enhanced with an explainable artificial intelligence dashboard to improve interpretability at both the global and individual patient levels. An explainable artificial intelligence approach was used to analyze ICU patient data from the Medical Information Mart for Intensive Care. Predictor variables were restricted to the first 48 hours after ICU admission. Various machine-learning algorithms were evaluated, culminating in an ensemble "super learner" model. The model's performance was quantified using the area under the receiver operating characteristic curve through 5-fold cross-validation. An explainer dashboard was developed (using synthetic data for patient privacy), featuring interactive visualizations for in-depth model interpretation at the global and local levels. The final sample comprised 28 395 patients with a 4.9% incidence of HAPIs. The ensemble super learner model performed well (area under curve = 0.80). The explainer dashboard provided global and patient-level interactive visualizations of model predictions, showing each variable's influence on the risk-assessment outcome. The model and its dashboard provide clinicians with a transparent, interpretable artificial intelligence-based risk-assessment system for HAPIs that may enable more effective and timely preventive interventions.
被引量：- 发表：2024
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Effect of Sepsis-3 Definition on the Classification of Patients with Sepsis or Septic Shock in South Korea.
Little is known about differences in patient characteristics before and after implementation of the new definition of sepsis (Sepsis-3) and whether the new definition is affecting clinical practice in intensive care units. To examine and compare the clinicoepidemiologic characteristics of patients with sepsis or septic shock before and after implementation of Sepsis-3. In this population-based cohort study, a nationwide registration database in South Korea was used to identify patients with sepsis or septic shock. Patients admitted to hospitals from 2012 to 2015 constituted the Sepsis-2 group, and patients admitted from 2017 to 2020 constituted the Sepsis-3 group. The study involved 443 217 patients, of whom 170 660 (38.5%) were in the Sepsis-2 group and 272 557 (61.5%) were in the Sepsis-3 group. The mean (SD) age was 73.3 (14.5) years in the Sepsis-2 group and 75.5 (14.5) years in the Sepsis-3 group. The intensive care unit admission rate was higher in the Sepsis-2 group (34.6%, 59 081 of 170 660) than in the Sepsis-3 group (21.3%, 57 997 of 272 557). Multivariable Cox regression analysis showed that 1-year all-cause mortality was 21% lower in the Sepsis-3 group than in the Sepsis-2 group (hazard ratio, 0.79; 95% CI, 0.78-0.79; P < .001). Implementation of the Sepsis-3 definition was associated with an increased number of patients with sepsis. Other findings suggested that patients in the Sepsis-2 group had more severe illness, with increased 1-year all-cause mortality, compared with those in the Sepsis-3 group.
被引量：- 发表：2024
