Patient Care Rounds in the Intensive Care Unit During COVID-19.
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ABSTRACT:
SUBMITTER: Wang H
PROVIDER: S-EPMC7334133 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
Patient Care Rounds in the Intensive Care Unit During COVID-19.
Wang Hanyin H Poehler Jessica L JL Ziegler Jenna L JL Weiler Chad C CC Khan Syed Anjum SA
Joint Commission journal on quality and patient safety 20200704 10
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Project description:Coronavirus disease 2019 (COVID-19) can lead to multiorgan damage and fatal outcomes. MicroRNAs (miRNAs) are detectable in blood, reflecting cell activation and tissue injury. We performed small RNA-Seq in healthy controls (N=11), non-severe (N=18) and severe (N=16) COVID-19 patients
2021-11-17 | GSE176498 | GEO
Project description:The ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in rapid surges of critically ill patients infected with coronavirus disease 2019 (COVID-19) pneumonia presenting to the emergency department (ED) and requiring ICU admission nationwide. Despite adaptations in critical care personnel staffing, bed availability and supply provision, many inpatient ICUs have become acutely crowded, leading to boarding of critically ill patients with COVID-19 and other diseases in the ED. To address this scenario at our urban, safety net, tertiary care institution in the spring of 2020, we designed and implemented a temporary "emergency department-intensive care unit" (ED-ICU) patient care service. Critical care-trained emergency physicians took call and came into the hospital overnight/on weekends to provide bedside treatment to admitted ICU patients boarding for prolonged periods in our ED. In this manuscript, we describe the creation and execution of the ED-ICU service and the characteristics and management of the patients who received care under this model.
| S-EPMC7753833 | biostudies-literature
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| S-EPMC7300450 | biostudies-literature
Project description:Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care.
2022-03-03 | PXD029009 | Pride
Project description:IntroductionNutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions.MethodsA questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine.ResultsA total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (energy: unit odds ratio 0.98 [0.97-0.99], p value <0.01; protein: unit odds ratio 0.72 [0.59-0.87], p value <0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness.ConclusionsPoor nutrition during the first week after ICU admission was associated with a decreased QOL 1 year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.IntroductionNutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions.MethodsA questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine.ResultsA total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (energy: unit odds ratio 0.98 [0.97-0.99], p value <0.01; protein: unit odds ratio 0.72 [0.59-0.87], p value <0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness.ConclusionsPoor nutrition during the first week after ICU admission was associated with a decreased QOL 1 year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.
| S-EPMC11797927 | biostudies-literature
Project description:Rationale: During the coronavirus disease (COVID-19) pandemic, many intensive care units (ICUs) have shifted communication with patients' families toward chiefly telehealth methods (phone and video) to reduce COVID-19 transmission. Family and clinician perspectives about phone and video communication in the ICU during the COVID-19 pandemic are not yet well understood. Increased knowledge about clinicians' and families' experiences with telehealth may help to improve the quality of remote interactions with families during periods of hospital visitor restrictions during COVID-19.Objectives: To explore experiences, perspectives, and attitudes of family members and ICU clinicians about phone and video interactions during COVID-19 hospital visitor restrictions.Methods: We conducted a qualitative interviewing study with an intentional sample of 21 family members and 14 treating clinicians of cardiothoracic and neurologic ICU patients at an academic medical center in April 2020. Semistructured qualitative interviews were conducted with each participant. We used content analysis to develop a codebook and analyze interview transcripts. We specifically explored themes of effectiveness, benefits and limitations, communication strategies, and discordant perspectives between families and clinicians related to remote discussions.Results: Respondents viewed phone and video communication as somewhat effective but inferior to in-person communication. Both clinicians and families believed phone calls were useful for information sharing and brief updates, whereas video calls were preferable for aligning clinician and family perspectives. Clinicians and families expressed discordant views on multiple topics-for example, clinicians worried they were unsuccessful in conveying empathy remotely, whereas families believed empathy was conveyed successfully via phone and video. Communication strategies suggested by families and clinicians for remote interactions include identifying a family point person to receive updates, frequently checking family understanding, positioning the camera on video calls to help family see the patient and their clinical setting, and offering time for the family and patient to interact without clinicians participating.Conclusions: Telehealth communication between families and clinicians of ICU patients appears to be a somewhat effective alternative when in-person communication is not possible. Use of communication strategies specific to phone and video can improve clinician and family experiences with telehealth.
| S-EPMC8086546 | biostudies-literature
Project description:BackgroundTeaching rounds are an important component of the learning environment for residents in the intensive care unit (ICU). Retrieval practice is a cognitive learning tool that helps learners consolidate information and might improve the quality and culture of teaching rounds.ObjectiveWe performed a feasibility study from October 2018 to June 2019 to investigate the incorporation of retrieval practice into ICU rounds.MethodsParticipants included internal medicine and family medicine residents and pulmonary and critical care medicine fellows and faculty on medical ICU (MICU) teams at a tertiary care academic medical center. For 1-week periods, residents were asked to use retrieval practice after rounds, sharing one learning point. Participants were anonymously surveyed about the feasibility and acceptability of this strategy and perceptions of the educational value of ICU rounds before and after incorporating retrieval practice.ResultsWe enrolled 9 MICU teams, including 31 residents, 8 fellows, and 8 attendings. Pre- and postsurvey response rates were 89% and 91% (42 and 43 of 47, respectively). Sixty-nine percent of respondents (30 of 43) reported sharing learning points on at least 3 days of the intervention week. Eighty-six percent of respondents (37 of 43) said retrieval practice did not adversely affect the workflow at the end of rounds. The perception that teaching on rounds was a priority increased after the intervention (3.93 versus 4.28 on 1-5 Likert scale, P = .047).ConclusionsUsing retrieval practice on MICU rounds was feasible and acceptable and was associated with an increase in the perceived priority given to teaching on rounds.
| S-EPMC7771589 | biostudies-literature
Project description:PurposeThe objective of the present study was to provide a detailed histopathological description of fatal coronavirus disease 2019 (COVID 19), and compare the lesions in Intensive Care Unit (ICU) and non-ICU patients.MethodsIn this prospective study we included adult patients who died in hospital after presenting with confirmed COVID-19. Multiorgan biopsies were performed. Data generated with light microscopy, transmission electron microscopy (TEM) and RT-PCR assays were reviewed.Results20 patients were enrolled in the study and the main pulmonary finding was alveolar damage, which was focal in 11 patients and diffuse in 8 patients. Chronic fibrotic and inflammatory lesions were observed in 18 cases, with acute inflammatory lesions in 12 cases. Diffuse lesions, collapsed alveoli and dystrophic pneumocytes were more frequent in the ICU group (62.5%, vs. 25%; 63%, vs. 55%; 87.5%, vs. 54%). Acute lesions (82%, vs. 37.5%; p = 0.07) with neutrophilic alveolitis (63.6% vs. 0%, respectively; p = 0.01) were observed more frequently in the non-ICU group. Viral RNA was detected in 12 lung biopsies (60%) up to 56 days after disease upset. TEM detected viral particles in the lung and kidney biopsy samples up to 27 days after disease upset. Furthermore, abundant networks of double-membrane vesicles (DMVs, a hallmark of viral replication) were observed in proximal tubular epithelial cells.ConclusionLung injury was different in ICU and non-ICU patients. Extrapulmonary damage consisting in kidney and myocardial injury were more frequent in ICU patients. Our TEM experiments provided the first description of SARS-CoV-2-induced DMVs in kidney biopsy samples-a sign of intense viral replication in this organ.
| S-EPMC9081791 | biostudies-literature
Project description:BackgroundForecasting models for intensive care occupancy of coronavirus disease 2019 (COVID-19) patients are important in the current pandemic for strategic planning of patient allocation and avoidance of regional overcrowding. They are often trained entirely on retrospective infection and occupancy data, which can cause forecast uncertainty to grow exponentially with the forecast horizon.MethodologyWe propose an alternative modeling approach in which the model is created largely independent of the occupancy data being simulated. The distribution of bed occupancies for patient cohorts is calculated directly from occupancy data from "sentinel clinics". By coupling with infection scenarios, the prediction error is constrained by the error of the infection dynamics scenarios. The model allows systematic simulation of arbitrary infection scenarios, calculation of bed occupancy corridors, and sensitivity analyses with respect to protective measures.ResultsThe model was based on hospital data and by adjusting only two parameters of data in the Aachen city region and Germany as a whole. Using the example of the simulation of the respective bed occupancy rates for Germany as a whole, the loading model for the calculation of occupancy corridors is demonstrated. The occupancy corridors form barriers for bed occupancy in the event that infection rates do not exceed specific thresholds. In addition, lockdown scenarios are simulated based on retrospective events.DiscussionOur model demonstrates that a significant reduction in forecast uncertainty in occupancy forecasts is possible by selectively combining data from different sources. It allows arbitrary combination with infection dynamics models and scenarios, and thus can be used both for load forecasting and for sensitivity analyses for expected novel spreading and lockdown scenarios.
| S-EPMC7856858 | biostudies-literature