Dexmedetomidine: another arrow in the quiver to fight COVID-19 in intensive care units.
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ABSTRACT:
SUBMITTER: Jain A
PROVIDER: S-EPMC7556802 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Rationale: Treatment with noninvasive ventilation (NIV) in coronavirus disease (COVID-19) is frequent. Shortage of intensive care unit (ICU) beds led clinicians to deliver NIV also outside ICUs. Data about the use of NIV in COVID-19 is limited.Objectives: To describe the prevalence and clinical characteristics of patients with COVID-19 treated with NIV outside the ICUs. To investigate the factors associated with NIV failure (need for intubation or death).Methods: In this prospective, single-day observational study, we enrolled adult patients with COVID-19 who were treated with NIV outside the ICU from 31 hospitals in Lombardy, Italy.Results: We collected data on demographic and clinical characteristics, ventilatory management, and patient outcomes. Of 8,753 patients with COVID-19 present in the hospitals on the study day, 909 (10%) were receiving NIV outside the ICU. A majority of patients (778/909; 85%) patients were treated with continuous positive airway pressure (CPAP), which was delivered by helmet in 617 (68%) patients. NIV failed in 300 patients (37.6%), whereas 498 (62.4%) patients were discharged alive without intubation. Overall mortality was 25%. NIV failure occurred in 152/284 (53%) patients with an arterial oxygen pressure (PaO2)/fraction of inspired oxygen (FiO2) ratio <150 mm Hg. Higher C-reactive protein and lower PaO2/FiO2 and platelet counts were independently associated with increased risk of NIV failure.Conclusions: The use of NIV outside the ICUs was common in COVID-19, with a predominant use of helmet CPAP, with a rate of success >60% and close to 75% in full-treatment patients. C-reactive protein, PaO2/FiO2, and platelet counts were independently associated with increased risk of NIV failure.Clinical trial registered with ClinicalTrials.gov (NCT04382235).
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Project description:IntroductionA new respiratory virus, SARS-CoV-2, has emerged and spread worldwide since late 2019. This study aims at analysing clinical presentation on admission and the determinants associated with admission in intensive care units (ICUs) in hospitalized COVID-19 patients.Patients and methodsIn this prospective hospital-based study, socio-demographic, clinical and biological characteristics, on admission, of adult COVID-19 hospitalized patients presenting from the community for their first admission were prospectively collected and analysed. Characteristics of patients hospitalized in medical ward to those admitted in ICU were compared using Mann-Whitney and Chi-square or Fisher exact test when appropriate. Univariate logistic regression was first used to identify variables on admission that were associated with the outcome i.e. admission to an ICU versus total hospital stay in a medical ward. Forward selection was then applied beginning with sex, age and temperature in the multivariable logistic regression model.ResultsOf the 412 patients included, 325 were discharged and 87 died in hospital. Multivariable regression showed increasing odds of ICU hospitalization with temperature (OR, 1.56 [95% CI, 1.06-2.28] per degree Celsius increase), oxygen saturation <90% (OR, 12.45 [95% CI, 5.27-29.4]), abnormal lung auscultation on admission (OR, 3.58 [95% CI, 1.58-8.11]), elevated level of CRP (OR, 2.7 [95% CI, 1.29-5.66for CRP>100mg/L vs CRP<10mg/L). and monocytopenia (OR, 3.28 [95% CI, 1.4-7.68]) were also associated with increasing odds of ICU hospitalization. Older patients were less likely to be hospitalized in ICU (OR, 0.17 [95%CI, 0.05-0.51].ConclusionsAge and delay between onset of symptoms and hospital admission were associated with the risk of hospitalisation in ICU. Age being a fixed variable, interventions that shorten this delay would improve the prognosis of Covid-19 patients.
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Project description:RationaleThe COVID-19 pandemic induces considerable strain on intensive care unit resources.ObjectivesWe aim to provide early predictions of individual patients' intensive care unit length of stay, which might improve resource allocation and patient care during the on-going pandemic.MethodsWe developed a new semiparametric distributional index model depending on covariates which are available within 24h after intensive care unit admission. The model was trained on a large cohort of acute respiratory distress syndrome patients out of the Minimal Dataset of the Swiss Society of Intensive Care Medicine. Then, we predict individual length of stay of patients in the RISC-19-ICU registry.MeasurementsThe RISC-19-ICU Investigators for Switzerland collected data of 557 critically ill patients with COVID-19.Main resultsThe model gives probabilistically and marginally calibrated predictions which are more informative than the empirical length of stay distribution of the training data. However, marginal calibration was worse after approximately 20 days in the whole cohort and in different subgroups. Long staying COVID-19 patients have shorter length of stay than regular acute respiratory distress syndrome patients. We found differences in LoS with respect to age categories and gender but not in regions of Switzerland with different stress of intensive care unit resources.ConclusionA new probabilistic model permits calibrated and informative probabilistic prediction of LoS of individual patients with COVID-19. Long staying patients could be discovered early. The model may be the basis to simulate stochastic models for bed occupation in intensive care units under different casemix scenarios.
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Project description:BackgroundFamilies of individuals hospitalized in an intensive care unit (ICU) with severe illnesses, such as COVID-19, are experiencing a range of physical and emotional stressors. Identifying the challenges faced by family members and providing support to loved ones battling life-threatening diseases can lead to improved treatment and care for the said family members in a healthcare setting.AimThe current study was conducted to explore and understand the experiences of family caregivers caring for their loved ones battling COVID-19 in an ICU.MethodsThis descriptive qualitative study was conducted from January 2021 to February 2022, based on the experiences of 12 family caregivers of patients with COVID-19 hospitalized in the ICU. Data collection was conducted through purposeful sampling using semi-structured interviews. MAXQDA10 software was used for data management, and conventional content analysis was used for qualitative data analysis.ResultsThe present study conducted interviews with caregivers to understand their experiences while caring for a loved one in an ICU. Three main themes emerged from the analysis of these interviews: hardship of care trajectory, pre-loss mourning, and contributing factors in resolving family health crises. The first theme, the hardship of care trajectories, encompasses categories such as immersion in the unknown, lack of care facilities, negligence in care, neglect of families by healthcare providers, self-ignorance, and perceived stigma. The second these was pre-loss mourning that included some categories such as emotional and psychological turmoil, witnessing the exhaustion of loved ones, separation suffering, the fearing of loss, anticipatory grief, blame related to the disease causative agents, and perceived helplessness and despair. The third theme was contributing factors in resolving family health crises that included categories of the critical role of family caregivers in health engagement, the role of healthcare professionals in health engagement, and the role of interpersonal factors in health engagement. A total of 80 subcategories were also obtained based on the experiences of the family caregivers.ConclusionThis study's findings indicate that families can play an important role in resolving their loved ones' health problems in life-threatening situations such as the COVID-19 pandemic. Moreover, healthcare providers must recognize and prioritize family-based care and trust the families' ability to effectively manage health crises. Healthcare providers should also be attentive to the needs of both the patient and their family members.
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Project description:Background: To meet coronavirus disease (COVID-19) demands in the spring of 2020, many intensive care (IC) units (ICUs) required help of redeployed personnel working outside their regular scope of practice, causing an expansion and change of staffing ratios. Objective: How did this composite alternative ICU workforce experience supervision, interprofessional collaboration, and quality and safety of care under the unprecedented clinical circumstances at the height of the first pandemic wave as lived experiences uniquely captured during the first peak of the pandemic? Methods: An international, cross-sectional survey was conducted among physicians, nurses, and allied personnel deployed or redeployed to ICUs in Utrecht, New York, and Dublin from April to May of 2020. Data were analyzed separately for the three sites. Quantitative data were treated for descriptive statistics; qualitative data were analyzed thematically and combined for general interpretations. Results: On the basis of 234, 83, and 34 responses (response rates of 68%, 48%, and 41% in Utrecht, New York, and Dublin, respectively), we found that the amount of supervision and the quality and safety of care were perceived as being lower than usual but still acceptable. The working atmosphere was overwhelmingly felt to be collaborative and supportive. Where IC-certified nurse-to-patient ratios had decreased most (Utrecht), nurses voiced criticism about supervision and quality of care. Continuity within the work environment, team composition, and informal ("curbside") consultations were critical mediators of success. Conclusion: In the exceptional circumstances encountered during the COVID-19 pandemic, many ICUs were managed by a composite workforce of IC-certified and redeployed personnel. Although supervision is critical for safe care, supervisory roles were not clearly related to the amount of prior ICU experience. Vital for satisfaction with the quality of care was the span of control for those who assumed supervisory roles (i.e., the ratio of certified to noncertified personnel). Stable teams that matched less experienced personnel with more experienced personnel; a strong, interprofessional, collaborative atmosphere; a robust culture of informal consultation; and judicious, more flexible use of rules and regulations proved to be essential.
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