Improved asthma control during the COVID-19 pandemic: are there lessons to be learnt?

Trends in outpatient and inpatient visits for separate ambulatory-care-sensitive conditions during the first year of the COVID-19 pandemic: a province-based study

Background

The COVID-19 pandemic led to global disruptions in non-urgent health services, affecting health outcomes of individuals with ambulatory-care-sensitive conditions (ACSCs).

Methods

We conducted a province-based study using Ontario health administrative data (Canada) to determine trends in outpatient visits and hospitalization rates (per 100,000 people) in the general adult population for seven ACSCs during the first pandemic year (March 2020-March 2021) compared to previous years (2016-2019), and how disruption in outpatient visits related to acute care use. ACSCs considered were chronic obstructive pulmonary disease (COPD), asthma, angina, congestive heart failure (CHF), hypertension, diabetes, and epilepsy. We used time series auto-regressive integrated moving-average models to compare observed versus projected rates.

Results

Following an initial reduction (March-May 2020) in all types of visits, primary care outpatient visits (combined in-person and virtual) returned to pre-pandemic levels for asthma, angina, hypertension, and diabetes, remained below pre-pandemic levels for COPD, and rose above pre-pandemic levels for CHF (104.8 vs. 96.4, 95% CI: 89.4-104.0) and epilepsy (29.6 vs. 24.7, 95% CI: 22.1-27.5) by the end of the first pandemic year. Specialty visits returned to pre-pandemic levels for COPD, angina, CHF, hypertension, and diabetes, but remained above pre-pandemic levels for asthma (95.4 vs. 79.5, 95% CI: 70.7-89.5) and epilepsy (53.3 vs. 45.6, 95% CI: 41.2-50.5), by the end of the year. Virtual visit rates increased for all ACSCs. Among ACSCs, reductions in hospitalizations were most pronounced for COPD and asthma. CHF-related hospitalizations also decreased, albeit to a lesser extent. For angina, hypertension, diabetes, and epilepsy, hospitalization rates reduced initially, but returned to pre-pandemic levels by the end of the year.

Conclusion

This study demonstrated variation in outpatient visit trends for different ACSCs in the first pandemic year. No outpatient visit trends resulted in increased hospitalizations for any ACSC; however, reductions in rates of asthma, COPD, and CHF hospitalizations persisted.

Psychological distress and symptom-related burnout in asthma during the COVID-19 pandemic

People with asthma may be particularly vulnerable to pandemic-related psychological distress, and research is needed to understand the impact of the coronavirus disease 19 (COVID-19) pandemic on their health and well-being. We sought to study the well-being of people with asthma relative to non-asthmatic controls during the COVID-19 pandemic. We also investigated asthma symptoms and COVID-19-related anxiety as potential mediators of distress. Participants completed self-report measures of psychological functioning, including anxiety, depression, stress, and burnout. Controlling for potential confounds, multiple-regression analyses examined differences in psychological health between people with and without asthma. Mediator analyses investigated the role of asthma symptoms and COVID-19-related anxiety in this relationship. 234 adults (111 with asthma, 123 without) participated in an online survey from July to November 2020. During this time, people with asthma reported higher levels of anxiety, perceived stress, and burnout symptoms compared to controls. Elevations in burnout symptoms were found beyond general anxiety and depression (sr2 = .03, p < .001). Reported symptoms typical in both asthma and COVID-19 partially mediated this relationship (Pm = .42, p < .05). People with asthma reported unique psychological challenges during the COVID-19 pandemic including elevated burnout symptoms. Experience of asthma symptoms played a key role in vulnerability to emotional exhaustion. Clinical implications include increased attention to asthma symptom burden within the context of heightened environmental stress and restricted healthcare access.

Retrospective cohort analysis of weight changes during the COVID-19 pandemic in a pediatric asthma population

OBJECTIVE

To investigate the BMI trajectories of children attending a tertiary asthma clinic during the COVID-19 pandemic.

METHODS

Data were collected retrospectively on children and young people with asthma who attended the Royal Hospital for Children and Young People (RHCYP) before March 2020 (pre-COVID-19) and after August 2021 (the lifting of national restrictions).

MAIN OUTCOME MEASURES

Changes in weight, height, and BMI Z score measured between 13/03/2019 and 13/03/2020 (timepoint 1) and then again during the period 01/08/2021 to 01/10/2022 (timepoint 2); changes in lung function parameters (FEV1) between the timepoints; proportion of study sample classed as obese and overweight at both timepoints; interaction analyses according to deprivation indices (SIMD decile), the use of high dose inhaled corticosteroid (ICS) therapy, and the presence of atopy.

RESULTS

Eighty-nine children aged 5-18 years were studied. Weight and height Z scores significantly increased between timepoint 1 and 2 [weight Z score: +0.19 (0.08, +0.30), height Z score: +0.15 (+0.07, +0.23)], such that no significant change was observed in the BMI Z score [+ 0.07 (-0.05, +0.20)] or BMI centile [+0.5 (-3.1, +4.1)]. There was also no change in FEV1%predicted [-0.1 (-3.8, +3.6)] between the timepoints.

CONCLUSIONS

No changes in BMI were observed in children with asthma before and after COVID-19 lockdowns. Improved linear growth was noted, implying an improvement in the overall physical health of our study cohort. This may suggest improved asthma control, which may reflect avoidance of viral triggers and/or improved adherence to treatment.

Effect of the COVID-19 pandemic on asthma exacerbations in New Zealand: An interrupted time series analysis

Background

New Zealand (NZ) implemented some of the strictest restrictions during the novel coronavirus pandemic (coronavirus disease 2019 [COVID-19]), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). How this impacted asthma exacerbation rates in NZ is unknown.

Objective

We sought to explore the effects of the COVID-19 restrictions on asthma exacerbations in NZ during 2020.

Methods

We used a population-based, interrupted time series to examine the impact of the first COVID-19 lockdown in NZ on asthma exacerbation rate. The primary outcome measure was change in the monthly exacerbation rate, defined as hospitalization and/or course of corticosteroids, before and after the first lockdown. In a secondary analysis, we quantified the number of patients with asthma, the actual asthma exacerbation rate from March to December 2019 versus March to December 2020, and the number of asthma hospitalizations.

Results

There was a significant drop in the exacerbation rate immediately after lockdown (-3.02; P < .0001) followed by a significant and sustained increasing trend; the rate postlockdown increased relative to that prelockdown (0.27; P < .0001). Similar patterns were observed in all sociodemographic groups. In our secondary analysis, we identified 507,622 people with asthma; this reduced to 458,023 in 2020 postlockdown. The overall asthma exacerbation rate was 33.3% less in 2020 than in 2019 (reduction from 48.6/1000 patients to 32.4/1000 patients). The rate of asthma hospitalizations decreased from 9.5 per 1000 patients in 2019 to 6.2 per 1000 patients in 2020; this decrease was observed across all demographic groups.

Conclusions

The first COVID-19 lockdown in 2020 in NZ significantly reduced asthma exacerbation rates across all sociodemographic groups. Whether these reductions are sustained requires further investigation.

Impact of Guideline-Based Asthma Treatment on Health Services Use in Singapore Before and During COVID-19 Outbreak

Introduction

To date, the role of standard asthma care in reducing asthma-related health services use (HSU) during the COVID-19 pandemic remains unclear. This study examined the impact of guideline-based asthma treatment on the use of asthma-related emergency department (ED) visits, polyclinic visits (total visits and urgent visits characterized by nebuliser use) before and during the pandemic.

Methods

Data from April 2017 to October 2020 was obtained from the National University Health System, one of the three healthcare clusters in Singapore. Using generalized linear models, we estimated the joint effects of the ratio of preventer to reliever dispensations (PRR) and COVID-19 on asthma-related ED visits per hospital per month, total asthma-related polyclinic visits and asthma-related urgent polyclinic visits per clinic per month.

Results

Findings show that before the onset of COVID-19, for every 0.5 unit increase in PRR, the number of asthma-related ED visits and urgent polyclinic visits decreased by 12.9% (95% CI: -13.0% to -12.9%) and 6.8% (95% CI: -6.9% to -6.7%), respectively, whereas total asthma-related polyclinic visits increased by 1.0% (95% CI: 0.9% to 1.0%). During the pandemic, a 0.5 unit increase of PRR decreased the number of asthma-related ED visits, urgent and total polyclinic visits by 16.9% (95% CI: -17.0% to - 16.9%), 9.3% (95% CI: -9.5% to -9.2%) and 0.7% (95% CI: -0.8% to -0.7%), respectively.

Discussion

These findings suggest that regardless of the COVID-19 pandemic, an increase in PRR consistently reduced the frequency of asthma-related urgent and emergent care, although it barely influenced routine asthma follow-up visits.

Covid-19 pandemic and asthma: What did we learn?

This review addresses some of the major lessons we have learnt regarding asthma and the covid-19 pandemic, including susceptibility to SARS-CoV-2 infection and severe covid-19, potentially protective factors, comparison to other respiratory infections, changes in healthcare behaviour from the perspective of patients and clinicians, medications to treat or prevent covid-19, and post-covid syndrome.

Reduced asthma morbidity during COVID-19 in minority children: is medication adherence a reason?

OBJECTIVES

Asthma control improved during the COVID-19 pandemic. This study examined objectively measured medication adherence, asthma morbidity and quality of life (QoL) outcomes in Black and Latinx children by month for January-June 2019 (pre-COVID) compared to January-June 2020 (including first peak of COVID).

METHODS

Secondary analyses of 94 children with asthma (ages 10-17 years, 64% Latinx, 36% Black) and their caregivers assigned to the comparison group of a longitudinal RCT intervention trial. Outcomes included mean aggregate electronic adherence for controller medications, oral steroid bursts, acute healthcare utilization, caregiver asthma QoL, and the Asthma Control Test. Repeated measures analyses were conducted due to multiple observations.

RESULTS

Adherence to controller medications declined 48% from 2019 to 2020 (LS Mean = 33.9% vs. 17.6%, p=.0004, f=.92) with levels reaching a low in May 2020. A reduction in steroid bursts was observed over the same timeframe, 1.29 vs. 0.61, p = 0.006, f=.63. Caregiver QoL increased from 2019 to 2020 on total score (5.18 vs. 5.85, p = 0.002, f=.72), activity limitations (5.04 vs. 5.95), and emotional functioning (5.26 vs. 5.80). Although not statistically significant, a clinically meaningful 62% reduction in acute healthcare visits (p = 0.15) was reported in 2020. Children reported better asthma control (OR = 1.47, 95% CI 1.24, 1.73, p < 0.0001) in 2020 versus 2019 driven by improvements from May to June 2020.

CONCLUSIONS

Decreased asthma morbidity in minority children during COVID was coupled with decreased adherence to controller medications. This observed decrease in morbidity is not explained by improvements in adherence.

The impact of lockdown on symptoms and health status of patients with chronic airway diseases: An appraisal of patient perceived impressions

Background

The pandemic-specific lockdown may influence the health status of patients with chronic airflow obstruction (CAO) as COPD, COPD-PH, and chronic asthma.

Objectives

To find the impact of the lockdown on symptoms, and the degree of perceived change in physical activity and emotional health with possible reasons including the indicators of ambient air pollution.

Methods

A cohort of CAO patients was telephonically enquired regarding their perceived well-being in symptom status, physical activity, and emotional health with the perceived contribution from plausible reasons (regular medication, simple food, no pollution, and family attention) for the change; all being expressed in percentages. The change in symptom scores as 0-39, 40-79, and 80-100 were regarded as 'low', 'medium', and 'high' respectively. The impact of the individual contributing factor was calculated statistically. The assessment of the CAT (COPD assessment test) score and the ambient air pollution (PM2.5 and PM10) was also done for their association with well-being.

Results

There was a universal improvement (p < 0.5) in COPD (n = 113), COPD-PH, (n = 40), and chronic asthma, (n = 19) as regards symptoms, physical activity, and emotional health that tallies to overall and individual change in CAT score. There were concomitant reductions in PM10 and PM2.5 levels during the lockdown compared to the same period of the previous year. All the four listed factors contributed with the 'no/low pollution' and 'simple food being the most important; on acting together, they reduced the moderate and severe symptoms impressively.

Conclusion

Reduced air pollution and simple food appear most important for the improvement of CAO patients during the lockdown period.

Assessing the technical feasibility of a flexible, integrated Internet-of-things connected for asthma (C4A) system to support self-management: a mixed method study exploring patients and healthcare professionals perspectives

Background

A connected system with smart devices could transform patient care and empower patients control of their asthma.

Objective

To explore how a connected-for-asthma system (C4A) with smart devices from multiple companies (smart-inhaler; smart-watch; smart-peak-flow meter, manual digital thermometer during the Coronavirus disease (COVID)-pandemic) could support asthma self-management.

Methods

In a proof-of-concept mixed-methods study (Winter 2021/2022), we collected data from devices linked via the C4A app enabling patients to self-monitor and share a monitoring summary (in PDF format) with their clinician. Ten patients (range of age/gender, asthma experience, Apple/Android user) via social media, used C4A for a month. We conducted pre/post-interviews with patients, and a single post-interview with an asthma nurse and 3 general practitioners. Thematic analysis, informed by the Unified Theory of Acceptance and Use of Technology was triangulated with descriptive analysis of usage data.

Results

The system was perceived as "easy" to use. During the study, 7517 data points were collected from 10 patients; monitoring reduced over the month. Patients used devices if they trusted their "accuracy," and adopted the system to monitor new medication or assess troublesome symptoms. One patient lost contact (because of COVID), 8 wanted to keep using C4A to manage their asthma, though were selective about the most useful devices. Clinicians wanted the report to provide an asthma score/status and reliever usage.

Conclusion

A connected system could enable flexible digital care by linking data from several devices to support self-management. To promote adoption/adherence, setup has to be simple, and patients need to trust that the devices accurately reflect their condition.

Impact of COVID-19 mitigation strategies on asthma hospitalizations in Brazil

Background

In 2020, a unique social experience was provided by the pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2. Interventions to tackle the pandemic may affect the burden of other respiratory diseases.

Objective

This study aims to assess the impact of the COVID-19 mitigation strategies on hospitalizations for asthma in children aged between 1 and 14 years, adults aged between 20 and 59 years, and elderly older than 60 years.

Methods

Data from hospital admissions for asthma were obtained from the Department of Informatics of Brazilian Public Health System database in the period between January 2016 and December 2020 and analyzed by age groups. To evaluate the effect of containment measures on the incidence of asthma and respiratory system diseases (total), the absolute reduction and relative reduction were calculated by analyzing the subsets from 2016 to 2019 versus 2020.

Results

There was a significant reduction in the average incidence of hospitalizations in 2020, with numbers ranging from −59% (incidence rate ratio, 0.41 [0.37-0.45]) for age 1 to 14 years (prepandemic 1,393.2/100,000 vs pandemic 574.9/100.000), −37% (incidence rate ratio, 0.63 [0.49-0.80]) for age 20 to 59 years (prepandemic 160.2/100,000 vs pandemic 101.1/100,000), and −60% (incidence rate ratio, 0.40 [0.33-0.47]) for older than 60 years (prepandemic 460.6/100,000 vs pandemic 185.3/100,000).

Conclusions

Ashtma hospitalizations decreased in 2020, especially in the pediatric group and the older group during the COVID-19 pandemic, which may be associated with the reduction in the incidence of many respiratory viral infections.

Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid

Background

The 2019 novel coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently a major challenge threatening the global healthcare system. Respiratory virus infection is the most common cause of asthma attacks, and thus COVID-19 may contribute to an increase in asthma exacerbations. However, the mechanisms of COVID-19/asthma comorbidity remain unclear.

Methods

The “Limma” package or “DESeq2” package was used to screen differentially expressed genes (DEGs). Alveolar lavage fluid datasets of COVID-19 and asthma were obtained from the GEO and GSV database. A series of analyses of common host factors for COVID-19 and asthma were conducted, including PPI network construction, module analysis, enrichment analysis, inference of the upstream pathway activity of host factors, tissue-specific analysis and drug candidate prediction. Finally, the key host factors were verified in the GSE152418 and GSE164805 datasets.

Results

192 overlapping host factors were obtained by analyzing the intersection of asthma and COVID-19. FN1, UBA52, EEF1A1, ITGB1, XPO1, NPM1, EGR1, EIF4E, SRSF1, CCR5, PXN, IRF8 and DDX5 as host factors were tightly connected in the PPI network. Module analysis identified five modules with different biological functions and pathways. According to the degree values ranking in the PPI network, EEF1A1, EGR1, UBA52, DDX5 and IRF8 were considered as the key cohost factors for COVID-19 and asthma. The H₂O₂, VEGF, IL-1 and Wnt signaling pathways had the strongest activities in the upstream pathways. Tissue-specific enrichment analysis revealed the different expression levels of the five critical host factors. LY294002, wortmannin, PD98059 and heparin might have great potential to evolve into therapeutic drugs for COVID-19 and asthma comorbidity. Finally, the validation dataset confirmed that the expression of five key host factors were statistically significant among COVID-19 groups with different severity and healthy control subjects.

Conclusions

This study constructed a network of common host factors between asthma and COVID-19 and predicted several drugs with therapeutic potential. Therefore, this study is likely to provide a reference for the management and treatment for COVID-19/asthma comorbidity.

Primary Care Management of Asthma Exacerbations or Attacks: Impact of the COVID-19 Pandemic

The COVID-19 pandemic has brought a renewed focus on appropriate management of chronic respiratory conditions with a heightened awareness of respiratory symptoms and the requirement for differential diagnosis between an asthma attack and COVID-19 infection. Despite early concerns in the pandemic, most studies suggest that well-managed asthma is not a risk factor for more severe COVID-related outcomes, and that asthma may even have a protective effect. Advice on the treatment of asthma and asthma attacks has remained unchanged. This article describes some challenges faced in primary care asthma management in adults and in teenagers, particularly their relevance during a pandemic, and provides practical advice on asthma attack recognition, classification, treatment and continuity of care. Acute attacks, characterised by increased symptoms and reduced lung function, are often referred to as exacerbations of asthma by doctors and nurses but are usually described by patients as asthma attacks. They carry a significant and underestimated morbidity and mortality burden. Many patients experiencing an asthma attack are assessed in primary care for treatment and continuing management. This may require remote assessment by telephone and home monitoring devices, where available, during a pandemic. Differentiation between an asthma attack and a COVID-19 infection requires a structured clinical assessment, taking account of previous medical and family history. Early separation into mild, moderate, severe or life-threatening attacks is helpful for continuing good management. Most attacks can be managed in primary care but when severe or unresponsive to initial treatment, the patient should be appropriately managed until transfer to an acute care facility can be arranged. Good quality care is important to prevent further attacks and must include a follow-up appointment in primary care, proactive regular dosing with daily controller therapy and an understanding of a patient's beliefs and perceptions about asthma to maximise future self-management.

Trends in Hospitalizations for Ambulatory Care-Sensitive Conditions During the COVID-19 Pandemic

Importance

The association of the COVID-19 pandemic with the quality of ambulatory care is unknown. Hospitalizations for ambulatory care-sensitive conditions (ACSCs) are a well-studied measure of the quality of ambulatory care; however, they may also be associated with other patient-level and system-level factors.

Objective

To describe trends in hospital admissions for ACSCs in the prepandemic period (March 2019 to February 2020) compared with the pandemic period (March 2020 to February 2021).

Design, Setting, and Participants

This cross-sectional study of adults enrolled in a commercial health maintenance organization in Michigan included 1 240 409 unique adults (13 011 176 person-months) in the prepandemic period and 1 206 361 unique adults (12 759 675 person-months) in the pandemic period.

Exposure

COVID-19 pandemic (March 2020 to February 2021).

Main Outcomes and Measures

Adjusted relative risk (aRR) of ACSC hospitalizations and intensive care unit stays for ACSC hospitalizations and adjusted incidence rate ratio of the length of stay of ACSC hospitalizations in the prepandemic (March 2019 to February 2020) vs pandemic (March 2020 to February 2021) periods, adjusted for patient age, sex, calendar month of admission, and county of residence.

Results

The study population included 1 240 409 unique adults (13 011 176 person-months) in the prepandemic period and 1 206 361 unique adults (12 759 675 person-months) in the pandemic period, in which 51.3% of person-months (n = 6 547 231) were for female patients, with a relatively even age distribution between the ages of 24 and 64 years. The relative risk of having any ACSC hospitalization in the pandemic period compared with the prepandemic period was 0.72 (95% CI, 0.69-0.76; P < .001). This decrease in risk was slightly larger in magnitude than the overall reduction in non-ACSC, non-COVID-19 hospitalization rates (aRR, 0.82; 95% CI, 0.81-0.83; P < .001). Large reductions were found in the relative risk of respiratory-related ACSC hospitalizations (aRR, 0.54; 95% CI, 0.50-0.58; P < .001), with non-statistically significant reductions in diabetes-related ACSCs (aRR, 0.91; 95% CI, 0.83-1.00; P = .05) and a statistically significant reduction in all other ACSC hospitalizations (aRR, 0.79; 95% CI, 0.74-0.85; P < .001). Among ACSC hospitalizations, no change was found in the percentage that included an intensive care unit stay (aRR, 0.99; 95% CI, 0.94-1.04; P = .64), and no change was found in the length of stay (adjusted incidence rate ratio, 1.02; 95% CI, 0.98-1.06; P = .33).

Conclusions and Relevance

In this cross-sectional study of adults enrolled in a large commercial health maintenance organization plan, the COVID-19 pandemic was associated with reductions in both non-ACSC and ACSC hospitalizations, with particularly large reductions seen in respiratory-related ACSCs. These reductions were likely due to many patient-level and health system-level factors associated with hospitalization rates. Further research into the causes and long-term outcomes associated with these reductions in ACSC admissions is needed to understand how the pandemic has affected the delivery of ambulatory and hospital care in the US.