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:Apelin is a newly discovered peptide hormone that has recently been linked to insulin resistance and obesity. Data collected from both the clinical and basic research settings show that apelin: (i) is correlated with the states of insulin resistance and obesity; (ii) stimulates glucose utilization; (iii) decreases insulin secretion; and (iv) negatively regulates catecholamine-mediated lipolysis. These and other lines of evidence demonstrate that apelin may be a potentially viable candidate in the search for treatments for Type 2 diabetes and the insulin resistance (metabolic syndrome). The present review summarizes the literature on the regulation by apelin of glucose and lipid metabolism and the signaling pathways involved.
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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: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: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: Not available
| S-EPMC5227267 | biostudies-literature
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.
| S-EPMC7840037 | biostudies-literature
Project description:The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.
| S-EPMC8664080 | biostudies-literature
Project description:The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.
| S-EPMC8443328 | biostudies-literature
Project description:ObjectiveThis study aimed to determine the prevalence of confirmed novel coronavirus disease 2019 (COVID-19) disease or infants under investigation among a cohort of U.S. neonatal intensive care units (NICUs). Secondarily, to evaluate hospital policies regarding maternal COVID-19 screening and related to those infants born to mothers under investigation or confirmed to have COVID-19.Study designSerial cross-sectional surveys of MEDNAX-affiliated NICUs from March 26 to April 3, April 8 to April 19, May 4 to May 22, and July 13 to August 2, 2020. The surveys included questions regarding COVID-19 patient burden and policies regarding infant separation, feeding practices, and universal maternal screening.ResultsAmong 386 MEDNAX-affiliated NICUs, responses were received from 153 (42%), 160 (44%), 165 (45%), 148 (38%) across four rounds representing an active patient census of 3,465, 3,486, 3,452, and 3,442 NICU admitted patients on the day of survey completion. Confirmed COVID-19 disease in NICU admitted infants was rare, with the prevalence rising from 0.03 (1 patient) to 0.44% (15 patients) across the four survey rounds, while the prevalence of patients under investigation increased from 0.8 to 2.6%. Hospitals isolating infants from COVID-19-positive mothers fell from 46 to 20% between the second and fourth surveys, while centers permitting direct maternal breastfeeding increased 17 to 47% over the same period. Centers reporting universal severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) screening for all expectant mothers increased from 52 to 69%.ConclusionAmong a large cohort of NICU infants, the prevalence of infants under investigation or with confirmed neonatal COVID-19 disease was low. Policies regarding universal maternal screening for SARS-CoV-2, infant isolation from positive mothers, and direct maternal breastfeeding for infants born to positive mothers are rapidly evolving. As universal maternal screening for SARS-CoV-2 becomes more common, the impact of these policies requires further investigation.Key points· In this cohort, neonatal COVID-19 is rare.. · Policies regarding isolation and breastfeeding for infants are rapidly evolving.. · Most hospitals are now providing universal screening for expectant mothers for SARS-CoV-2..
| S-EPMC7869047 | biostudies-literature
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.
| S-EPMC7894868 | biostudies-literature