[Geographical variation of asthma prevalence among Mexican children during the COVID-19 pandemic]. / Variación geográfica en la prevalencia de asma en niños mexicanos durante la pandemia de la COVID-19.

OBJECTIVE: The purpose of this study was to analyze the geographic variation in the prevalence of asthma in children, according to their place of residence in Mexico. METHODS: A cross-sectional analysis of the epidemiological surveillance system dataset for respiratory diseases in Mexico carried on. From 27 February to 5 November 2020, a total of 1,048,576 subjects were screened for SARS-CoV2 infection, of which 35,899 were children under 18 years of age. The strength of the association was estimated by odds ratio (OR). RESULTS: Of 1,048,576 patients who attended for SARS-CoV2 infection detection, 35,899 corresponded to pediatric patients who met the study criteria. The estimated national prevalence of asthma was 3.9% (95% CI: 3.7-4.1%). The nationwide prevalence of asthma was 3.9% (95% CI: 3.7% - 4.1%); the minimum was 2.8% (Southeast region) and the maximum 6.8% (Southeast region). Compared to the South-West Region that presented the minimum prevalence at the national level, the Northwest (OR = 2.41) and Southeast (OR = 1.33) regions showed the highest risk of asthma in pediatric population. CONCLUSIONS: The prevalence of asthma in children differed markedly among the different regions of Mexico; two regions, Northwest and Southeast, stood out. This study puts into context the role of the environment on the prevalence of asthma in children.

OBJECTIVO: Estimar la prevalencia de asma en pacientes pediátricos, según su lugar de residencia en la República Mexicana, durante la pandemia por SARS-CoV-2. MÉTODOS: Estudio transversal, llevado a cabo a partir de la revisión de datos del Sistema de Vigilancia Epidemiológica para Enfermedades Respiratorias en México, analizados del 27 febrero al 5 de noviembre de 2020. Criterios de inclusión: pacientes que acudieron a la detección de infección por SARS-CoV2, menores de 18 años. La fuerza de asociación se estimó con la razón de momios. RESULTADOS: De 1,048,576 pacientes que acudieron a la detección de infección de SARS-CoV2, 35,899 correspondieron a pacientes pediátricos que cumplieron con los criterios del estudio. La prevalencia nacional de asma estimada fue de 3.9% (IC95%: 3.7-4.1%); la prevalencia mínima se observó en la región Suroeste (2.8%) y la máxima en el Sureste (6.8%); comparada con la región Suroeste, que registró la prevalencia mínima a nivel nacional, y la Noroeste (RM = 2.41) y Sureste (RM = 1.33) mostraron el mayor riesgo de asma en la población pediátrica. CONCLUSIONES: La prevalencia de asma en niños mexicanos difirió notoriamente en los diferentes estados de la República Mexicana; sobresalieron las regiones Noroeste y Sureste. Este estudio pone de manifiesto el papel del medio ambiente en la prevalencia del asma en pacientes pediátricos mexicanos.

Geographical differences in the use of oral corticosteroids in patients with severe asthma in Spain: heat map based on existing databases analyses.

BACKGROUND: Although there are currently alternative treatments to the long-term use of oral corticosteroids (OCS) in severe asthma, recent studies show excessive use depending on geography and differences in medical practice. The objective of the study was to describe the differences in OCS use for severe asthma across the Spanish geography. METHODS: This is a real-world study using existing databases (year 2019): longitudinal patient database (EMR), based on electronic medical records, and database of pharmacological consumption (Sell-in) in basic healthcare areas. With EMR, the percentage of OCS prescriptions corresponding to patients with severe asthma (ICD-9 "asthma" and prescription of biological treatment and/or high dose of inhaled corticosteroids/long-acting inhaled ß2 agonists) was calculated. This percentage was transferred to the OCS consumption of each basic healthcare area as reported in the Sell-in database and a national heat map was created. The estimation of OCS use in patients with severe asthma per 100,000 inhabitants for each region was calculated by grouping basic healthcare areas and the mean OCS use per patient for different regions in Spain was also estimated. RESULTS: Patients with severe asthma in Spain were mostly female (69.6%), with a mean age (SD) of 57.6 years (18.01). Median time (Pc25-Pc75) since asthma diagnosis was 83.1 months (34.65-131.56). Of all patients with OCS prescriptions in 2019 identified in EMR, 4.4% corresponded to patients with severe asthma. Regions with the highest OCS use were Asturias, Andalucía, and Galicia, whereas those with the lowest use were Navarra, Baleares, Madrid and País Vasco. The mean OCS use per patient with severe asthma in 2019 throughout Spain was 1099.85 mg per patient, ranging from 782.99 mg in Navarra to 1432.64 in Asturias. CONCLUSIONS: There are geographical differences between Spanish regions with respect to the use of OCS in patients with severe asthma. The national mean consumption of OCS per patient with severe asthma and year is above the limits that indicate good asthma control.

Investigating the role of obstructive pulmonary diseases and eosinophil count at admission on all-cause mortality in SARS-CoV-2 patients : A single center registry-based retrospective cohort study.

INTRODUCTION: The impact of asthma and chronic obstructive pulmonary disease (COPD) in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV­2) infection is not clearly defined. Blood eosinophil count is a standard diagnostic test which, according to the previously published literature, might have a potential prognostic role on mortality in patients with SARS-CoV­2 infection. AIM: To investigate the potential prognostic value of peripheral blood eosinophil count on all-cause mortality of patients hospitalized with SARS-CoV­2 infection, as well as to assess the impact of asthma or COPD premorbidity on all-cause mortality. MATERIAL AND METHODS: We conducted a retrospective registry-based cohort study. Survival analysis was performed by employing the Cox proportional hazards regression model at 30 days of follow-up. Prognostic value of eosinophil count on all-cause mortality was assessed using receiver-operating characteristic (ROC) curve analysis. RESULTS: A total of 5653 participants were included in the study. Our model did not reveal that pre-existing asthma or COPD is a statistically significant covariate for all-cause mortality but, indicated that higher eosinophil count at admission might have a protective effect (hazard ratio, HR 0.13 (95% confidence interval, CI 0.06-0.27), p = 0.0001). ROC curve analysis indicates cut-off value of 20 cells/mm3 (81% specificity; 30.9% sensitivity). CONCLUSION: Our results indicate that eosinophil count at hospital admission might have a potential prognostic role for all-cause mortality at 30 days of follow-up; however this was not demonstrated for pre-existing obstructive lung diseases.

[Asthma and COVID-19]. / Asma y COVID-19.

The COVID-19 pandemic has collapsed the health systems of many countries in the world and comorbidities in adults have exponentially increased their mortality; in matters of asthma, it has not been possible to establish a defining relationship in mortality. The clinical manifestations of asthmatic patients with SARS COV 2 are presented in a wide range; from asymptomatic to those who experience acute respiratory failure. The most sensitive method for the diagnosis of SARS-CoV-2 infection is RT-PCR. Antigen and serologic tests are quicker than RT-PCR, but they are less sensitive. Radiologic studies and the computed tomography of the chest assist in the diagnosis and follow-up of SARS-CoV-2 infection. The use of spirometry for diagnosis and follow-up is restricted due to the elevated risk of contagion. It has been shown that eosinophilia and TH2 inflammation, due to their antiviral immune effect, are protective factors against severe SARS-CoV-2/COVID-19. Patients with mild asthma express less angiotensin converting enzyme receptors (ACE2), and those with neutrophilic asthma express it in greater proportion, which suggests more severe presentations of COVID-19. The conventional asthma treatment modulates the SARS-CoV-2/COVID-19 immune response, which is why patients with controlled asthma have non-severe manifestations of COVID 19, however, the mechanisms are not clear.

La pandemia de COVID-19 ha colapsado los sistemas de salud de muchos países del mundo y las comorbilidades en adultos han incrementado exponencialmente su mortalidad; respecto al asma, no se ha podido establecer una relación determinante en la mortalidad. Las manifestaciones clínicas del paciente con asma y SARS-CoV-2 se presentan con una amplia gama, desde asintomáticas hasta las que experimentan insuficiencia respiratoria aguda. El método más sensible para el diagnóstico de la infección por SARS-CoV-2 es la RT-PCR. Las pruebas de antígeno y serológicas son más rápidas que la RT-PCR, pero menos sensibles. Los estudios radiológicos y la tomografía computarizada de tórax auxilian en el diagnóstico y seguimiento de la infección por SARS-CoV-2. El uso de la espirometría se restringe para el diagnóstico y seguimiento debido al alto riesgo de contagio. Se ha demostrado que la eosinofilia y la inflamación TH2, debido a su efecto inmunológico antivírico, son factores protectores contra SARS-CoV-2/COVID-19 severo. Los pacientes con asma leve expresan menos receptores de la enzima convertidora de angiotensina (ECA2) y aquellos con asma neutrofílica expresan mayor proporción, lo que sugiere presentaciones más severas de COVID-19. El tratamiento convencional del asma modula la respuesta inmunitaria del SARS-CoV-2/COVID-19, por lo cual, los pacientes con asma controlados tienen manifestaciones no graves de COVID-19, aunque los mecanismos no están claros.

Polygenic risk scores for asthma and allergic disease associate with COVID-19 severity in 9/11 responders.

BACKGROUND: Genetic factors contribute to individual differences in the severity of coronavirus disease 2019 (COVID-19). A portion of genetic predisposition can be captured using polygenic risk scores (PRS). Relatively little is known about the associations between PRS and COVID-19 severity or post-acute COVID-19 in community-dwelling individuals. METHODS: Participants in this study were 983 World Trade Center responders infected for the first time with SARS-CoV-2 (mean age at infection = 56.06; 93.4% male; 82.7% European ancestry). Seventy-five (7.6%) responders were in the severe COVID-19 category; 306 (31.1%) reported at least one post-acute COVID-19 symptom at 4-week follow-up. Analyses were adjusted for population stratification and demographic covariates. FINDINGS: The asthma PRS was associated with severe COVID-19 category (odds ratio [OR] = 1.61, 95% confidence interval: 1.17-2.21) and more severe COVID-19 symptomatology (ß = .09, p = .01), independently of respiratory disease diagnosis. Severe COVID-19 category was also associated with the allergic disease PRS (OR = 1.97, [1.26-3.07]) and the PRS for COVID-19 hospitalization (OR = 1.35, [1.01-1.82]). PRS for coronary artery disease and type II diabetes were not associated with COVID-19 severity. CONCLUSION: Recently developed polygenic biomarkers for asthma, allergic disease, and COVID-19 hospitalization capture some of the individual differences in severity and clinical course of COVID-19 illness in a community population.

Development of a new HISCL automated CXCL9 immunoassay.

C-X-C motif chemokine ligand 9 (CXCL9), a candidate biomarker, reflects type 1 (T1) inflammation pathology. Here, we report the analytical performance and clinical characteristics of a new CXCL9 reagent for a fully automated immunoassay device. We evaluated the limits of blank, detection, and quantitation (LoQ) along with other efficacy parameters, and the ability of the assay to report patient health, COVID-19 status, and the presence of asthma and/or interstitial lung diseases (ILDs). The coefficient of variation for 5-day total precision using two instruments was 7% across two controls, serum, and plasma panels. LoQ of 2.2 pg/mL suggested the efficacy of the assay in detecting T1 inflammation in plasma or serum; no cross-reactivity or interference was observed. We identified high serum CXCL9 levels in samples from patients with acute COVID-19 infections (n = 57), chronic bird-related hypersensitivity pneumonitis (n = 61), asthma (n = 194), and ILDs (n = 84) compared to healthy individuals (< 39.0 pg/mL). Furthermore, CXCL9 levels increased with age in asthma patients, and an opposite trend was observed for T2 inflammatory factors. These results suggest the utility of the automated CXCL9 immunoassay for measuring CXCL9 in clinical samples and reflect its role in T1 inflammation.

Development and Validation of a Respiratory-Responsive Vocal Biomarker-Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19.

BACKGROUND: Vocal biomarker-based machine learning approaches have shown promising results in the detection of various health conditions, including respiratory diseases, such as asthma. OBJECTIVE: This study aimed to determine whether a respiratory-responsive vocal biomarker (RRVB) model platform initially trained on an asthma and healthy volunteer (HV) data set can differentiate patients with active COVID-19 infection from asymptomatic HVs by assessing its sensitivity, specificity, and odds ratio (OR). METHODS: A logistic regression model using a weighted sum of voice acoustic features was previously trained and validated on a data set of approximately 1700 patients with a confirmed asthma diagnosis and a similar number of healthy controls. The same model has shown generalizability to patients with chronic obstructive pulmonary disease, interstitial lung disease, and cough. In this study, 497 participants (female: n=268, 53.9%; <65 years old: n=467, 94%; Marathi speakers: n=253, 50.9%; English speakers: n=223, 44.9%; Spanish speakers: n=25, 5%) were enrolled across 4 clinical sites in the United States and India and provided voice samples and symptom reports on their personal smartphones. The participants included patients who are symptomatic COVID-19 positive and negative as well as asymptomatic HVs. The RRVB model performance was assessed by comparing it with the clinical diagnosis of COVID-19 confirmed by reverse transcriptase-polymerase chain reaction. RESULTS: The ability of the RRVB model to differentiate patients with respiratory conditions from healthy controls was previously demonstrated on validation data in asthma, chronic obstructive pulmonary disease, interstitial lung disease, and cough, with ORs of 4.3, 9.1, 3.1, and 3.9, respectively. The same RRVB model in this study in COVID-19 performed with a sensitivity of 73.2%, specificity of 62.9%, and OR of 4.64 (P<.001). Patients who experienced respiratory symptoms were detected more frequently than those who did not experience respiratory symptoms and completely asymptomatic patients (sensitivity: 78.4% vs 67.4% vs 68%, respectively). CONCLUSIONS: The RRVB model has shown good generalizability across respiratory conditions, geographies, and languages. Results using data set of patients with COVID-19 demonstrate its meaningful potential to serve as a prescreening tool for identifying individuals at risk for COVID-19 infection in combination with temperature and symptom reports. Although not a COVID-19 test, these results suggest that the RRVB model can encourage targeted testing. Moreover, the generalizability of this model for detecting respiratory symptoms across different linguistic and geographic contexts suggests a potential path for the development and validation of voice-based tools for broader disease surveillance and monitoring applications in the future.

Questionnaire for diagnosing asthma-COPD overlap in COPD: Development of ACO screening questionnaire (ACO-Q).

BACKGROUND: The considerable prevalence and worse outcomes of asthma-COPD overlap (ACO) in COPD have been reported, and optimal introduction of ICS is essential for ACO. However, diagnostic criteria for ACO consist of multiple laboratory tests, which is challenging during this COVID-19 era. The purpose of this study was to create a simple questionnaire to diagnose ACO in patients with COPD. METHODS: Among 100 COPD patients, 53 were diagnosed with ACO based on the Japanese Respiratory Society Guidelines for ACO. Firstly, 10 candidate questionnaire items were generated and further selected by a logistic regression model. An integer-based scoring system was generated based on the scaled estimates of items. RESULTS: Five items, namely a history of asthma, wheezing, dyspnea at rest, nocturnal awakening, and weather- or season-dependent symptoms, contributed significantly to the diagnosis of ACO in COPD. History of asthma was related to FeNO >35 ppb. Two points were assigned to history of asthma and 1 point to other items in the ACO screening questionnaire (ACO-Q), and the area under the receiver operating characteristic curve was 0.883 (95% CI: 0.806-0.933). The best cutoff point was 1 point, and the positive predictive value was 100% at a cutoff of 3 points or higher. The result was reproducible in the validation cohort of 53 patients with COPD. CONCLUSIONS: A simple questionnaire, ACO-Q, was developed. Patients with scores ≥3 could be reasonably recommended to be treated as ACO, and additional laboratory testing would be recommended for patients with 1 and 2 points.

Management of Chronic Asthma in Adults.

Asthma is characterized by chronic inflammation and respiratory symptoms such as wheezing and coughing. In the United States, it affects 25 million people annually. Chronic smokers, poor adherence to medications, incorrect use of inhalers, and overall poor asthma control are known risk factors that lead to poorly controlled chronic asthmatics. Although asthma is traditionally categorized by severity, treatment by primary care providers is guided by the Global Initiative for Asthma or the National Asthma Education and Prevention Program. As more research is available, shared decision-making between health care providers and patients will lead to improved outcomes in managing chronic asthma.

Worsening of asthma control after recovery from mild to moderate COVID-19 in patients from Hong Kong.

BACKGROUND: While there are postulations that asthma is potentially associated with severe coronavirus disease 2019 (COVID-19), there has been conflicting results from studies on the impact mild-to-moderate COVID-19 on asthma control after recovery. METHODS: A case control study on the association between mild-to-moderate COVID-19 and asthma control post infection was conducted. The primary outcome was a reduction in Asthma Control Test (ACT) score by ≥ 3 points post-COVID infection. The secondary outcomes included the change in ACT score, the proportion of patient with ACT score who dropped to ≤ 15 on enrolment visit and the need for escalation of asthma maintenance therapy. RESULTS: Out of the total of 221 adult patients with asthma recruited, 111 had mild-to-moderate COVID-19 within 30 to 270 days prior to study enrolment. The adjusted odds ratio (aOR) for a reduction in ACT score by ≥ 3 points after COVID-19 was 3.105 (95% CI = 1.385-6.959, p = 0.006). The odds of escalation of asthma maintenance therapy by at least 1 Global Initiative for Asthma (GINA) step was 4.733 (95% CI = 1.151-19.467, p = 0.031) and asthma patient are more likely to become uncontrolled after COVID-19 [aOR = 5.509 (95% CI = 1.061-28.600, p = 0.042)]. CONCLUSION: Mild-to-moderate COVID-19 among asthma patients, upon recovery, was associated with worsening of asthma symptom, lower ACT score, a higher need for escalation of asthma maintenance therapy and more uncontrolled asthma.

Adolescent Views on Asthma Severity and Management During the COVID-19 Pandemic.

Background: Asthma and COVID-19 have overlapping symptoms. During the 2019-2022 pandemic, pediatric asthma control appears to have improved, with some researchers theorizing that that is due to changes in asthma self-management. This study examined adolescents' views regarding how the pandemic impacted their asthma severity and self-management. Differences by urbanicity, sex, and race/ethnicity were explored. Methods: We utilized baseline data from adolescents with poorly controlled asthma (n = 183) who were participating in 1 of 2 school-based clinical trials-1 in rural schools and 1 in urban schools-testing the impact of interventions to improve asthma control. Adolescents reported if they believed their asthma severity remained the same, improved, or worsened during the pandemic, and if it changed, how it changed. They also reported if and how they modified their asthma management since the pandemic. We used multinomial logistic regression and binary logistic regression to assess the relationship between demographic factors and changes in asthma severity during the pandemic, and if adolescents altered their asthma management. Results: Adolescents' mean age was 15.9 years; most lived in rural communities (65.6%) and identified as female (66.7%). About half (56.2%) self-identified as black, 13.1% as Hispanic, and 10.4% as another race/ethnicity. Most (68.4%) reported that their asthma severity remained unchanged; 26.0% reported it worsened. Nearly 30% reported they altered how they managed their asthma, with most (80%) reporting additional efforts. Compared with asthma remaining the same, females had a higher relative risk than males of reporting that their asthma worsened [adjusted relative risk ratio = 3.65, 95% confidence interval (CI) = 1.34-9.90, P < 0.05]. Urban youth had greater odds (adjusted odds ratio = 5.4, 95% CI = 2.0-14.5, P < 0.001) of reporting they changed their asthma self-management compared with rural peers. Conclusion: This study demonstrates that during the 2019-2022 pandemic, adolescents generally believed their asthma severity stayed consistent and many took additional self-management efforts.

Status Asthmaticus Gravidus: Emergency and Critical Care Management of Acute Severe Asthma During Pregnancy.

One-third of women with asthma have deterioration of their asthma during pregnancy, and one-fourth of pregnant women with asthma will experience severe exacerbations necessitating emergency department (ED) visits or hospitalizations. Early recognition of acute severe asthma, including life-threatening status asthmaticus, and aggressive medical interventions with ß2-agonists, anticholinergic agents, and systemic corticosteroids are necessary to treat maternal airway bronchoconstriction, support maternal and fetal oxygenation, and avoid adverse fetal outcomes. This review describes management of acute severe asthma in pregnancy, including status asthmaticus, in the ED and intensive care unit.

Intensive critical care and management of asthmatic and smoker patients in COVID-19 infection.

This century's most serious catastrophe, COVID-19, has been dubbed "the most life-threatening disaster ever". Asthmatic persons are even more prone to COVID-19's complex interplay with the underlying inflammatory condition. In order to protect themselves against COVID-19, asthmatic patients must be very vigilant in their usage of therapeutic techniques and drugs (e.g., bronchodilators, 5-lipoxygenase inhibitors), which may be accessed to deal with mild, moderate, and severe COVID-19 indications. People with asthma may have more severe COVID-19 symptoms, which may lead to a worsening of their condition. Several cytokines were found to be elevated in the bronchial tracts of patients with acute instances of COVID-19, suggesting that this ailment may aggravate asthma episodes by increasing inflammation. The intensity of COVID-19 symptoms is lessened in patients with asthma who have superior levels of T-cells. Several antibiotics, antivirals, antipyretics, and anti-inflammatory drugs have been suggested to suppress COVID-19 symptoms in asthmatic persons. Furthermore, smokers are more likely to have aggravated repercussions in COVID-19 infection. Being hospitalized to critical care due to COVID-19, needing mechanical breathing, and suffering from serious health repercussions, are all possible outcomes for someone who has previously smoked. Smoking damages airways and alveoli, which significantly raises the risk of COVID-19-related health complications. Patients with a previous record of smoking are predisposed to severe COVID-19 disease symptoms that essentially require a combination of bronchodilators, mucolytics, antivirals, and antimuscarinic drugs, to cope with the situation. The present review discusses the care and management of asthmatic and smoker patients in COVID-19 infection.

Sociodemographic Comparison of Children With High-risk Medical Conditions Referred vs Identified Through Screening Plus Outreach for COVID-19 Therapeutics.

Importance: Minoritized groups are less likely to receive COVID-19 therapeutics, but few studies have identified potential methods to reduce disparities. Objective: To determine whether screening plus outreach, when compared with referral alone, increases identification of vulnerable pediatric patients at high risk for severe disease eligible for COVID-19 therapeutics from low-resourced communities. Design, Setting, and Participants: A retrospective cohort study of COVID-19 medication allocation between January 1, 2022, and February 15, 2022, at Lurie Children's Hospital, a quaternary care children's hospital, in Chicago, Illinois. The cohorts were pediatric patients referred for COVID-19 therapeutics or with a positive SARS-CoV-2 polymerase chain reaction within the hospital system followed by outreach. Screening involved daily review of positive cases of SARS-CoV-2, followed by medical record review for high-risk conditions, and communication with clinicians and/or patients and families to offer therapy. Exposures: Diagnosis of COVID-19. Main Outcomes and Measures: The primary measure was difference in child opportunity index (COI) scores between the 2 cohorts. Secondary measures included presence and duration of symptoms at diagnosis, medication uptake, race and ethnicity, insurance type, qualifying medical condition, sex, primary language, and age. Results: Of 145 total patients, the median (IQR) age was 15 (13-17) years, and most were male (87 participants [60.0%]), enrolled in public insurance (83 participants [57.2%]), and members of minoritized racial and ethnic groups (103 participants [71.0%]). The most common qualifying conditions were asthma and/or obesity (71 participants [49.0%]). From 9869 SARS-CoV-2 tests performed, 94 eligible patients were identified via screening for COVID-19 therapeutics. Fifty-one patients were identified via referral. Thirty-two patients received medication, of whom 8 (25%) were identified by screening plus outreach alone. Compared with referred patients, patients in the screening plus outreach group were more likely to have moderate, low, or very low COI composite scores (70 patients [74.5%] vs 27 patients [52.9%]); public insurance (65 patients [69.1%] vs 18 patients [35.3%]); and asthma or obesity (60 patients [63.8%] vs 11 patients [21.6%]). Patients in the referral group were more likely to be non-Hispanic White (23 patients [45.1%] vs 19 patients [20.2%]) and receive medication (24 patients [47.1%] vs 8 patients [8.5%]). Conclusions and Relevance: Compared with referral patients, screening plus outreach patients for COVID-19 medications were more socially vulnerable, with lower COI scores, and more likely to have asthma or obesity. Future studies should investigate communication strategies to improve uptake of these medications after outreach.

A retrospective study regarding the influence of COVID-19 disease on asthma.

BACKGROUND: During the Covid-19 pandemic patients suffering from asthma raised many concerns regarding the outcome ofthe impact of COVID-19 disease on their preexisting condition. The 2021 GINA report indicates that people with asthma do not appear to be at increased risk of a severe form of COVID-19. METHOD: This study is a retrospective study of patients (n = 163) median age = 27.8 years, M:F = 1:1.26, with asthma evaluated using ACT (asthma control test) and VAS (visual analog scale) before and after COVID-19 disease. An ACT score over 20 points placed patients in the controlled asthma group. RESULTS: The overall evaluation for COVID-19 in our asthma patients revealed that 22.7% of the studied group had the COVID-19 disease (21.5% in the controlled asthma group and 24.5% in uncontrolled asthma group). Asthma disease history was longer in the uncontroled asthma group (128 ± 96.8 months vs. 296 ± 59.7 months, p = 0.05). Asthma treatment was conducted according to the GINA guideline, and 18.4% (30 pts) of the patients were on allergen immunotherapy treatment. Significantly more uncontrolled patients were significantly more in Step 1 and 5 of treatment (p = 0.05 and p = 0.03). During the COVID-19 pandemic, patients in the GINA step 5 of treatment experienced a worsening of asthma, often twice as severe as compared to patients with asthma in GINA step 1-4. In these patients, even mild COVID-19 disease led to worsened asthma symptoms, while severe COVID-19 led to a severe asthma impairment measured by ACT score (p = 0.03) and VAS scale (p = 0.02), with increased oral corticosteroids consumption. CONCLUSION: Maintaining optimal asthma control should be able to reduce risk of severe outcomes after COVID-19 disease. Communication via phone with the specialist involved in their asthma care was very comforting for patients, thus confirming the necessity to include phone calls, smart phone's application or online evaluations and counseling in long-term care of chronic diseases.

Outcomes and risk factors with COVID-19 or influenza in hospitalized asthma patients.

BACKGROUND: At the time of the SARS-CoV-2 emergence, asthma patients were initially considered vulnerable because respiratory viruses, especially influenza, are associated with asthma exacerbations, increased risk of hospitalization and more severe disease course. We aimed to compare the asthma prevalence in patients hospitalized for COVID-19 or influenza and risk factors associated with poor prognosis with the diseases. METHODS: This retrospective cohort study used the Paris university hospitals clinical data warehouse to identify adults hospitalized for COVID-19 (January to June 2020) or influenza (November 2017 to March 2018 for the 2017-2018 influenza period and November 2018 to March 2019 for the 2018-2019 period). Asthma patients were identified with J45 and J46 ICD-10 codes. Poor outcomes were defined as admission in intensive care or death. RESULTS: Asthma prevalence was significantly higher among influenza than COVID-19 patients (n = 283/3 119, 9.1%, 95% CI [8.1-10.1] in 2017-2018 and n = 309/3 266, 9.5%, 95% CI [8.5-10.5] in 2018-2019 versus n = 402/9 009, 4.5%, 95% CI [4.0-4.9]). For asthma patients, 31% with COVID-19 were admitted to an intensive care unit versus 23% and 21% with influenza. Obesity was a risk factor for the 2017-2018 influenza period, smoking and heart failure for the 2018-2019 period. Among COVID-19 patients with asthma, smoking and obesity were risk factors for the severe form. CONCLUSIONS: In this study, patients with an asthma ICD-10 code were less represented among COVID-19 patients than among influenza-infected ones. However, outcomes were poorer for COVID-19 than influenza patients, both with asthma. These data highlight the importance of protective shields and vaccination against influenza and COVID-19 in this population.

Spanish multidisciplinary consensus on the characteristics of severe asthma patients on biologic treatment who are candidates for at-home administration.

BACKGROUND AND OBJECTIVE: Biologic therapies are known to reduce exacerbations and improve severe uncontrolled asthma management. The at-home administration of biologics has increased during the COVID-19 pandemic, but the characteristics of severe uncontrolled asthma patients who may benefit from at-home administration of biologic therapy have yet to be identified. MATERIALS AND METHODS: This project is based on the Delphi method, designed to reach an expert consensus through a multidisciplinary scientific committee addressing the following questions: clinical characteristics, treatment adherence, patient or caregiver administration ability, patient self-care, relationship with the healthcare professional, patient preference, and access to the hospital. RESULTS: One hundred and thirty-one healthcare professionals (pulmonologists, allergists, nurses, and hospital pharmacists) completed two Delphi consensus questionnaires. Fourteen items were identified as priority characteristics, the first five being: 1. The patient follows the healthcare team's indications/recommendations to control their disease, 2. The patient is capable of detecting any deterioration in their disease and of identifying exacerbation triggers, 3. The patient receives biologic therapy and has stable disease with no vital risk, 4. The patient takes responsibility for their self-care, 5. The patient has occupational/educational obligations that prevent them from going to the hospital regularly. CONCLUSION: Disease stability and control plus the ability to identify exacerbation triggers are the most important characteristics when opting for at-home administration for a patient with severe uncontrolled asthma on biologic therapy. These recommendations could be applicable in clinical practice.

Inhaled corticosteroids for the treatment of COVID-19.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has caused severe illness and mortality for millions worldwide. Despite the development, approval and rollout of vaccination programmes globally to prevent infection by SARS-CoV-2 and the development of coronavirus disease 2019 (COVID-19), treatments are still urgently needed to improve outcomes. Early in the pandemic it was observed that patients with pre-existing asthma or COPD were underrepresented among those with COVID-19. Evidence from clinical studies indicates that the inhaled corticosteroids (ICS) routinely taken for asthma and COPD could have had a protective role in preventing severe COVID-19 and, therefore, may be a promising treatment for COVID-19. This review summarises the evidence supporting the beneficial effects of ICS on outcomes in patients with COVID-19 and explores the potential protective mechanisms.

Patients with allergic asthma have lower risk of severe COVID-19 outcomes than patients with nonallergic asthma.

BACKGROUND: Although asthma does not appear to be a risk factor for severe coronavirus disease 2019 (COVID-19), outcomes could vary for patients with different asthma subtypes. The objective of this analysis was to compare COVID-19 outcomes in real-world cohorts in the United States among patients with asthma, with or without evidence of allergy. METHODS: In a retrospective analysis of the COVID-19 Optum electronic health record dataset (February 20, 2020-January 28, 2021), patients diagnosed with COVID-19 with a history of moderate-to-severe asthma were divided into 2 cohorts: those with evidence of allergic asthma and those without (nonallergic asthma). After 1:1 propensity score matching, in which covariates were balanced and potential bias was removed, COVID-19 outcomes were compared between cohorts. RESULTS: From a COVID-19 population of 591,198 patients, 1595 patients with allergic asthma and 8204 patients with nonallergic asthma were identified. After propensity score matching (n = 1578 per cohort), risk of death from any cause after COVID-19 diagnosis was significantly lower for patients with allergic vs nonallergic asthma (hazard ratio, 0.48; 95% CI 0.28-0.83; P = 0.0087), and a smaller proportion of patients with allergic vs nonallergic asthma was hospitalized within - 7 to + 30 days of COVID-19 diagnosis (13.8% [n = 217] vs 18.3% [n = 289]; P = 0.0005). Among hospitalized patients, there were no significant differences between patients with allergic or nonallergic asthma in need for intensive care unit admission, respiratory support, or COVID-19 treatment. CONCLUSIONS: Asthma subtype may influence outcomes after COVID-19; patients with allergic asthma are at lower risk for hospitalization/death than those with nonallergic asthma.

Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics.

Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions.