Inhaled corticosteroid is not associated with a poor prognosis in COVID-19.
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ABSTRACT:
SUBMITTER: An TJ
PROVIDER: S-EPMC8447022 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundRecent evidence has established a beneficial effect of systemic corticosteroids for treatment of moderate-to-severe COVID-19.ObjectiveTo determine if inhaled corticosteroid use is associated with COVID-19 outcomes.MethodsIn a nationwide cohort of hospitalized SARS-CoV-2 test-positive individuals in Denmark, we estimated the 30-day hazard ratio of intensive care unit (ICU) admission or death among users of inhaled corticosteroids (ICS) compared with users of bronchodilators (β2 -agonist/muscarinic-antagonists), and non-users of ICS overall, with Cox regression adjusted for age, sex, and other confounders. We repeated these analyses among influenza test-positive patients during 2010-2018.ResultsAmong 6267 hospitalized SARS-CoV-2 patients, 614 (9.8%) were admitted to ICU and 677 (10.8%) died within 30 days. ICS use was associated with a hazard ratio of 1.09 (95% CI [CI], 0.67 to 1.79) for ICU admission and 0.78 (95% CI, 0.56 to 1.11) for death compared with bronchodilator use. Compared with no ICS use overall, the hazard ratio of ICU admission or death was 1.17 (95% CI, 0.87-1.59) and 1.02 (95% CI, 0.78-1.32), respectively. Among 10 279 hospitalized influenza patients, of which 951 (9.2%) were admitted to ICU and 1275 (12.4%) died, the hazard ratios were 1.43 (95% CI, 0.89-2.30) and 1.11 (95% CI, 0.85-1.46) for ICU admission, and 0.80 (95% CI, 0.63-1.01) and 1.03 (95% CI, 0.87-1.22) for death compared with bronchodilator use and no ICS use overall, respectively.ConclusionOur results do not support an effect of inhaled corticosteroid use on COVID-19 outcomes, however we can only rule out moderate-to-large reduced or increased risks.Study registrationThe study was pre-registered at encepp.eu (EUPAS35897).
| S-EPMC8441753 | biostudies-literature
Project description:Omalizumab, an anti-IgE monoclonal antibody, is administered by injection once or twice monthly in offices and clinics. It offers a potential alternative intervention for patients with allergic asthma that is not well controlled because of recalcitrant poor adherence to inhaled corticosteroid therapy.To assess the effect of omalizumab therapy by measuring airway responsiveness to adenosine, a marker of allergic airway inflammation, and resource use.Patients (N = 17) aged 6 to 26 years (mean age, 16.4 years) with poorly controlled persistent allergic asthma, less than 50% adherence to inhaled corticosteroid therapy, a forced expiratory volume in 1 second (FEV1) of 60% predicted or higher, and adenosine provocation concentration that caused a decrease in FEV1 of 20% (PC20) of 60 mg/mL or less were randomized to receive 4 months of omalizumab or placebo in a double-blind, crossover trial with a 3- to 4-month washout between treatments. Patients were instructed to continue taking inhaled corticosteroids throughout the study. The PC20 was measured before and after each period.Fifteen patients completed the study. The mean baseline PC20 was 14.1 mg/mL (95% CI, 10.8-18.4 mg/mL). The fold change PC20 was 0.9 (95% CI, 0.5-1.7) during placebo and 3.1 (95% CI, 1.6-6.2) during omalizumab treatment; the estimated ratio was 3.4 (95% CI, 1.2-9.3; P = .02). Six patients required one or more short courses of oral corticosteroids for asthma exacerbations during placebo, but none required this intervention during omalizumab. During the study, the median prescription refills for inhaled corticosteroids was 0.15 (95% CI, 0.00-0.33) canisters per month.Omalizumab therapy is an alternative for patients with more severe poorly controlled asthma in whom adherence does not improve with conventional interventions.clinicaltrials.gov Identifier: NCT00133042.
| S-EPMC4948294 | biostudies-literature
Project description:BackgroundThe effect of underlying chronic obstructive pulmonary disease (COPD) on coronavirus disease 2019 (COVID-19) during a pandemic is controversial. The purpose of this study was to examine the prognosis of COVID-19 according to the underlying COPD.MethodsCOVID-19 patients were assessed using nationwide health insurance data. Comorbidities were evaluated using the modified Charlson Comorbidity Index (mCCI) which excluded COPD from conventional CCI scores. Baseline characteristics were assessed. Univariable and multiple logistic and linear regression analyses were performed to determine effects of variables on clinical outcomes. Ages, sex, mCCI, socioeconomic status, and underlying COPD were selected as variables.ResultsCOPD patients showed older age (71.3±11.6 years vs. 47.7±19.1 years, p<0.001), higher mCCI (2.6±1.9 vs. 0.8±1.3, p<0.001), and higher mortality (22.9% vs. 3.2%, p<0.001) than non-COPD patients. The intensive care unit admission rate and hospital length of stay were not significantly different between the two groups. All variables were associated with mortality in univariate analysis. However, underlying COPD was not associated with mortality unlike other variables in the adjusted analysis. Older age (odds ratio [OR], 1.12; 95% confidence interval [CI], 1.11-1.14; p<0.001), male sex (OR, 2.29; 95% CI, 1.67-3.12; p<0.001), higher mCCI (OR, 1.30; 95% CI, 1.20-1.41; p<0.001), and medical aid insurance (OR, 1.55; 95% CI, 1.03-2.32; p=0.035) were associated with mortality.ConclusionUnderlying COPD is not associated with a poor prognosis of COVID-19.
| S-EPMC8743630 | biostudies-literature
Project description:COVID-19 can cause acute respiratory distress syndrome, leading to death in many individuals. Evidence of a deleterious role of the innate immune system is accumulating, but the precise mechanisms involved remain unclear. In this study, we investigated the links between circulating innate phagocytes and severity in COVID-19 patients. We performed in-depth phenotyping of neutrophil and monocyte subpopulations and measured soluble activation markers in plasma. Additionally, anti-microbial functions (phagocytosis, oxidative burst, and NETosis) were evaluated on fresh cells from patients. Neutrophils and monocytes had a strikingly disturbed phenotype, and elevated concentrations of activation markers (calprotectin, myeloperoxidase, and neutrophil extracellular traps) were measured in plasma. Critical patients had increased CD13low immature neutrophils, LOX-1 + and CCR5 + immunosuppressive neutrophils, and HLA-DRlow downregulated monocytes. Markers of immature and immunosuppressive neutrophils were strongly associated with severity. Moreover, neutrophils and monocytes of critical patients had impaired antimicrobial functions, which correlated with organ dysfunction, severe infections, and mortality. Together, our results strongly argue in favor of a pivotal role of innate immunity in COVID-19 severe infections and pleads for targeted therapeutic options.
| S-EPMC8755788 | biostudies-literature
Project description:IntroductionSocial vulnerability is a known determinant of health in respiratory diseases. Our aim was to identify whether there are socio-demographic factors among COVID-19 patients hospitalized in Spain and their potential impact on health outcomes during the hospitalization.MethodsA multicentric retrospective case series study based on administrative databases that included all COVID-19 cases admitted in 19 Spanish hospitals from 1 March to 15 April 2020. Socio-demographic data were collected. Outcomes were critical care admission and in-hospital mortality.ResultsWe included 10,110 COVID-19 patients admitted to 18 Spanish hospitals (median age 68 (IQR 54-80) years old; 44.5% female; 14.8% were not born in Spain). Among these, 779 (7.7%) cases were admitted to critical care units and 1678 (16.6%) patients died during the hospitalization. Age, male gender, being immigrant, and low hospital saturation were independently associated with being admitted to an intensive care unit. Age, male gender, being immigrant, percentile of average per capita income, and hospital experience were independently associated with in-hospital mortality.ConclusionsSocial determinants such as residence in low-income areas and being born in Latin American countries were associated with increased odds of being admitted to an intensive care unit and of in-hospital mortality. There was considerable variation in outcomes between different Spanish centers.
| S-EPMC8266293 | biostudies-literature
Project description:Inhaled corticosteroids (ICS) are the most commonly used controller medications prescribed for asthma. Two single-nucleotide polymorphisms (SNPs), rs1876828 in corticotrophin releasing hormone receptor 1 and rs37973 in GLCCI1, have previously been associated with corticosteroid efficacy. We studied data from four existing clinical trials of asthmatics, who received ICS and had lung function measured by forced expiratory volume in 1?s (FEV1) before and after the period of such treatment. We combined the two SNPs rs37973 and rs1876828 into a predictive test of FEV1 change using a Bayesian model, which identified patients with good or poor steroid response (highest or lowest quartile, respectively) with predictive performance of 65.7% (P=0.039 vs random) area under the receiver-operator characteristic curve in the training population and 65.9% (P=0.025 vs random) in the test population. These findings show that two genetic variants can be combined into a predictive test that achieves similar accuracy and superior replicability compared with single SNP predictors.
| S-EPMC3434304 | biostudies-literature
Project description:Inhaled corticosteroids (ICS) suppress eosinophilic airway inflammation in asthma, but patients may not adhere to prescribed use. Mean adherence-averaging total doses taken over prescribed-fails to capture many aspects of adherence. Patients with difficult-to-treat asthma underwent electronic monitoring of ICS, with data collected over 50 days. These were used to calculate entropy (H) a measure of irregular inhaler use over this period, defined in terms of transitional probabilities between different levels of adherence, further partitioned into increasing (Hinc) or decreasing (Hdec) adherence. Mean adherence, time between actuations (Gapmax), and cumulative time- and dose-based variability (area-under-the-curve) were measured. Associations between adherence metrics and 6-month asthma status and attacks were assessed. Only H and Hdec were associated with poor baseline status and 6-month outcomes: H and Hdec correlated negatively with baseline quality of life (H:Spearman rS = - 0·330, p = 0·019, Hdec:rS = - 0·385, p = 0·006) and symptom control (H:rS = - 0·288, p = 0·041, Hdec: rS = - 0·351, p = 0·012). H was associated with subsequent asthma attacks requiring hospitalisation (Wilcoxon Z-statistic = - 2.34, p = 0·019), and Hdec with subsequent asthma attacks of other severities. Significant associations were maintained in multivariable analyses, except when adjusted for blood eosinophils. Entropy analysis may provide insight into adherence behavior, and guide assessment and improvement of adherence in uncontrolled asthma.
| S-EPMC8289909 | biostudies-literature
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| S-EPMC7491401 | biostudies-literature
Project description: Not available
| S-EPMC9579006 | biostudies-literature
Project description:Background and aimsIdentification of SARS-CoV-2-infected patients at high-risk of poor prognosis is crucial. We aimed to establish predictive models for COVID-19 pneumonia severity in hospitalized patients.MethodsRetrospective study of 430 patients admitted in Vall d'Hebron Hospital (Barcelona) between 03-12-2020 and 04-28-2020 due to COVID-19 pneumonia. Two models to identify the patients who required high-flow-oxygen-support were generated, one using baseline data and another with also follow-up analytical results. Calibration was performed by a 1000-bootstrap replication model.Results249 were male, mean age 57.9 years. Overall, 135 (31.4%) required high-flow-oxygen-support. The baseline predictive model showed a ROC of 0.800 based on: SpO2/FiO2 (adjusted Hazard Ratio-aHR = 8), chest x-ray (aHR = 4), prior immunosuppressive therapy (aHR = 4), obesity (aHR = 2), IL-6 (aHR = 2), platelets (aHR = 0.5). The cut-off of 11 presented a specificity of 94.8%. The second model included changes on the analytical parameters: ferritin (aHR = 7.5 if ?200ng/mL) and IL-6 (aHR = 18 if ?64pg/mL) plus chest x-ray (aHR = 2) showing a ROC of 0.877. The cut-off of 12 exhibited a negative predictive value of 92%.ConclusionsSpO2/FiO2 and chest x-ray on admission or changes on inflammatory parameters as IL-6 and ferritin allow us early identification of COVID-19 patients at risk of high-flow-oxygen-support that may benefit from a more intensive disease management.
| S-EPMC7769554 | biostudies-literature