Obesity Does Not Increase the Risk of Asthma Readmissions

Class III Obesity as a Risk Factor for Persistent Asthma

Background: The burden of asthma remains steady with no decline observed in the past few decades. Obesity prevalence has been steadily increasing with a rate of 41.9% in the United States between 2017-2020. Obesity is an inflammatory chronic condition that may partially contribute to the burden and severity of asthma. This study aimed to examine whether the association between obesity and asthma varies with the categories of obesity (class I, II, and III) and persistent asthma (mild, moderate, and severe asthma). We hypothesized that subjects with elevated body mass index (BMI) are more likely to be diagnosed with persistent asthma than subjects without obesity with asthma. Methods: As a retrospective and cross-sectional study, this study used a total of 1,977 records of subjects with asthma (age ≥ 19 y) hospitalized in Nevada between 2016-2021. BMI and persistent asthma were evaluated as the main exposure and outcome of interest. Logistic regression was used to estimate the magnitude of the association between obesity and persistent asthma. Results: Among the selected subject records, subjects with obesity were more likely to be diagnosed with persistent asthma compared to subjects without obesity (odds ratio 1.50 [CI 1.10-2.05]). Subgroup analyses revealed that subjects with class III obesity (BMI ≥ 40) were more likely than subjects without obesity to be diagnosed with mild persistent asthma (odds ratio 2.21 [CI 1.18-4.16]) and severe persistent asthma (odds ratio 1.74 [CI 1.12-2.70]). Conclusions: Obesity was identified as a risk factor for persistent asthma, particularly class III obesity. This in turn increases the potential for greater health care utilization and economic burden. Public health and clinical interventions are necessary among those with comorbid asthma and obesity.

Prevalence of Obesity and Its Associated Comorbidities in Adults with Asthma: A Single-Center Study in Saudi Arabia

Background and Objectives: Asthma is associated with several comorbidities, one of which is obesity. The worldwide increase in obesity has been accompanied by a parallel rise in asthma prevalence, with obesity recognized as a significant risk factor for both the development and severity of asthma. Obesity is often linked to various comorbidities, which can complicate asthma management and lead to poorer clinical outcomes. This study aims to investigate the prevalence of obesity and its comorbidities in adults with asthma in a single center in Saudi Arabia, providing an overview of the associated health implications. Materials and Methods: This single-center, retrospective study aimed to assess the prevalence of obesity and other comorbidities in asthma patients. Data were collected from King Khalid University Hospital in Saudi Arabia between July 2023 and December 2023. Results: This study revealed that 72.1% of asthma patients were either obese or overweight. Female patients had significantly higher BMI values compared to males. Our study revealed that 38.21% of female asthma patients (mean age = 57 ± 13.85 years) had comorbidities compared to 24.14% of male asthma patients (mean age = 59 ± 14.02 years). Furthermore, the proportion of obese asthmatic patients with comorbidities was significantly greater than those without comorbidities. Conclusions: This study investigates obesity prevalence and associated comorbidities in adult asthmatics in a single center in Saudi Arabia. The findings reveal a 72.1% rate of obesity and overweight among asthmatic patients, with higher BMI and comorbidity prevalence in females. These results underscore the need for targeted interventions addressing obesity and comorbidities, especially in female asthmatics.

Body Mass Index and the Risk of Adult-Onset Asthma: A Prospective Observational Study among 59,668 Middle-Aged Men and Women in Finland

Introduction: Obesity, in addition to many other negative health consequences, affects pulmonary function and is a potential risk factor for asthma. Methods: We analyzed the association of body mass index (BMI) with incident asthma among 60,639 Finnish men and women aged 25 to 74 years who participated in a population-based chronic disease risk factor survey in 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007, or 2012. Data on lifestyle factors such as smoking and physical activity, as well as medical history, were obtained, and various physical measurements, including height and weight, were taken at baseline. Incident asthma events were ascertained from the National Social Insurance Institution's register data. The study cohorts were followed-up until the end of 2017 through registers. Results: During the follow-up, 4612 (14%) women and 2578 (9.3%) men developed asthma. The risk of asthma was analyzed in the following three BMI categories: <24.9 (reference category), 25-29.9 (overweight) and ≥30 kg/m2 (obesity). Hazard ratios (95% CI) were 1.34 (1.24-1.43) and 1.57 (1.44-1.71) in women and 1.25 (1.14-1.37) and 1.63 (1.44-1.83) in men. The observed association was independent of smoking, height and leisure-time physical activity. In women, 30.8% (19.2% in men) of the total asthma incidence was attributed to overweight and obesity. Conclusions: Overweight and obesity are important risk factors for asthma.

Clinical characteristics of obese, fixed airway obstruction, exacerbation-prone phenotype and comorbidities among severe asthma patients: a single-center study

BACKGROUND

Severe asthma places a large burden on patients and society. The characteristics of patients with severe asthma in the Chinese population remain unclear.

METHODS

A retrospective review was conducted in patients with severe asthma. Demographic and clinical data were collected. Patients were grouped according to phenotypes in terms of exacerbations, body mass index (BMI) and fixed airway obstruction (FAO) status, and the characteristics of different groups were compared. Comorbidities, factors that influence asthma phenotypes, were also analyzed in the study.

RESULTS

A total of 228 patients with severe asthma were included in our study. They were more likely to be overweight or obese. A total of 41.7% of the patients received GINA step 5 therapy, and 43.4% had a history of receiving regular or intermittent oral corticosteroids (OCS). Severe asthmatic patients with comorbidities were prone to have more asthma symptoms and decreased quality of life than patients without comorbidities. Patients with exacerbations were characterized by longer duration of asthma, poorer lung function, and worse asthma control. Overweight or obese patients tended to have more asthma symptoms, poorer lung function and more asthma-related comorbidities. Compared to patients without FAO, those in the FAO group were older, with longer duration of asthma and more exacerbations.

CONCLUSION

The existence of comorbidities in patients with severe asthma could result in more asthma symptoms and decreased quality of life. Patients with exacerbations or with overweight or obese phenotypes were characterized by poorer lung function and worse asthma control. Patients with FAO phenotype tended to have more exacerbations.

Obese Asthma Phenotype Is Associated with hsa-miR-26a-1-3p and hsa-miR-376a-3p Modulating the IGF Axis

Clarifying inflammatory processes and categorising asthma into phenotypes and endotypes improves asthma management. Obesity worsens severe asthma and reduces quality of life, although its specific molecular impact remains unclear. We previously demonstrated that hsa-miR-26a-1-3p and hsa-miR-376a-3p, biomarkers related to an inflammatory profile, discriminate eosinophilic from non-eosinophilic asthmatics. We aimed to study hsa-miR-26a-1-3p, hsa-miR-376a-3p, and their target genes in asthmatic subjects with or without obesity to find biomarkers and comprehend obese asthma mechanisms. Lung tissue samples were obtained from asthmatic patients (n = 16) and healthy subjects (n = 20). We measured miRNA expression using RT-qPCR and protein levels (IGF axis) by ELISA in confirmation samples from eosinophilic (n = 38) and non-eosinophilic (n = 39) obese (n = 26) and non-obese (n = 51) asthma patients. Asthmatic lungs showed higher hsa-miR-26a-1-3p and hsa-miR-376a-3p expression than healthy lungs. A study of seven genes regulated by these miRNAs revealed differential expression of IGFBP3 between asthma patients and healthy individuals. In obese asthma patients, we found higher hsa-miR-26a-1-3p and IGF-1R values and lower values for hsa-miR-376a-3p and IGFBP-3. Hsa-miR-26a-1-3p and IGFBP-3 were directly and inversely correlated with body mass index, respectively. Hsa-miR-26a-1-3p and hsa-miR-376a-3p could be used as biomarkers to phenotype patients with eosinophilic and non-eosinophilic asthma in relation to comorbid obesity.

Associations between Occupational Asthma and Obesity in the Central Region of Tunisia

Background

Risk factors for the severity of occupational asthma (OA) are often attributed to occupational exposure. However, some recent epidemiological data suggest a link with obesity. The study aimed to analyze the relationship between obesity and the severity of (OA) assessed by non-specific bronchial provocation.

Materials and Methods

We conducted an epidemiological descriptive retrospective study including patients who were referred to the Occupational Medicine Department of Farhat Hached University Hospital of Sousse, for (OA) and who have completed a non-specific bronchoprovocation test to metacholine.

Results

Our population consisted of 131 cases of (OA) with a female predominance. The average BMI was 27.34 ±5.30 kg. Obesity was observed in 29.8% of cases. The non-specific metacholine bronchial provocation test revealed an average dose of PD20 at 750.4 ±656.3 μg. Severe (OA) was observed in (35.1%). After univariate analysis, obesity in asthmatics had a significant association with age (p<0.001), marital status (p=0.005), average professional seniority (p<0.001), the evolution of complaints (p=0.035) and abnormal initial spirometry (p=0.044). As for the severity of (OA), the univariate analytical study did not show a significant link with obesity (p=0.68).

Conclusion

The association between obesity and OA is not an easy task and should be made using more accurate tools to measure body fat percentage. The preventive role of the occupational physician is essential in factories in order to make more prudent decisions when employing workers with a high BMI in high-risk occupations. Hence the importance of regular monitoring of weight in workers exposed to asthmatics during periodic examinations.

The association of asthma duration with body mass index and Weight-Adjusted-Waist index in a nationwide study of the U.S. adults

BACKGROUNDS

The association between obesity and asthma has been of interest, but whether the duration of asthma has an effect on obesity is still limitedly studied.

AIM

The purpose of this study was to investigate the association between asthma duration and obesity-related indexes, where obesity-related indexes include Body mass index (BMI) and Weight-adjusted-waist index (WWI).

METHODS

Data from National Health and Nutrition Examination Survey (NHANES) 2009-2018 were obtained to conduct this cross-sectional study. Duration of asthma was used as the independent variable and obesity-related indexes as the response variables. Multiple linear regression was used to assess the association between the independent variable and the response variables, and subsequently smoothed curve fitting and threshold effect analysis were performed to clarify whether there was a nonlinear correlation between the independent variable and the response variables. Finally, subgroup analysis was conducted to find sensitive populations.

RESULTS

A total of 9170 participants were included in the analysis. Asthma duration was statistically different between the two groups when all participants were grouped by median WWI (Q1 < 11.65, Q2 ≥ 11.65) (P < 0.001), but not by median BMI (Q1 < 31.8, Q2 ≥ 31.8) (P = 0.130). There was a positive association between asthma duration and WWI [β = 0.016, 95% CI (0.016, 0.017)], but a negative one with BMI [β = - 0.098, 95% CI (- 0.112, - 0.085)], and the correlations between the independent and response variables became more pronounced with increasing asthma duration (P for trend < 0.01). In addition, there were nonlinear relationships between asthma duration with BMI and WWI (log likelihood ratio < 0.001), with the best valid inflection points for asthma duration being 2 years (with WWI as the response variable) and 3 years (with BMI as the response variable), respectively. In the subgroup analysis, the positive association between asthma duration and WWI was more pronounced in the participants who were male, aged less than 40 years, and had asthma onset before 12 years of age. In contrast, when BMI was used as the response variable, the negative association between it and asthma duration was more pronounced among participants of female, aged 60 years or older, and with asthma onset less than 12 years of age.

CONCLUSIONS

In US adults, asthma duration might cause changes in obesity-related indexes. Longer asthma duration might cause weight loss, but might increase the risk of abdominal obesity.

Differences in Inflammatory Cytokine Profile in Obesity-Associated Asthma: Effects of Weight Loss

Obesity and asthma are associated with systemic inflammation maintained by mediators released by adipose tissue and lung. This study investigated the inflammatory serum mediator profile in obese subjects (O) (n = 35), non-obese asthma (NOA) patients (n = 14), obese asthmatics (OA) (n = 21) and healthy controls (HC) (n = 33). The effect of weight loss after bariatric surgery (BS) was examined in 10 OA and 31 O subjects. We analyzed serum markers including leptin, adiponectin, TGF-β1, TNFR2, MCP-1, ezrin, YKL-40, ST2, IL-5, IL-9, and IL-18. Compared with HC subjects, the O group showed increased levels of leptin, TGF-β1, TNFR2, MCP-1, ezrin, YKL-40, and ST2; the OA group presented increased levels of MCP-1, ezrin, YKL-40, and IL-18, and the NOA group had increased levels of ezrin, YKL-40, IL-5, and IL-18. The higher adiponectin/leptin ratio in NOA with respect to OA subjects was the only significant difference between the two groups. IL-9 was the only cytokine with significantly higher levels in OA with respect to O subjects. TNFR2, ezrin, MCP-1, and IL-18 concentrations significantly decreased in O subjects after BS. O, OA, and NOA showed distinct patterns of systemic inflammation. Leptin and adiponectin are regulated in asthma by obesity-dependent and -independent mechanisms. Combination of asthma and obesity does not result in significant additive effects on circulating cytokine levels.

Characteristics of patients with frequent systemic corticosteroid bursts for asthma in real clinical practice: are there frequent "short bursts?"

OBJECTIVE

The data on intermittent systemic corticosteroid therapy for asthma exacerbation, clinically called a "short burst," is limited. This study aimed to investigate the characteristics of patients with frequent systemic corticosteroid bursts for asthma in real clinical practice.

METHODS

Consecutive patients who regularly visited our hospital for asthma treatment between January 2019 and December 2020 were reviewed. The number of systemic corticosteroid bursts during the past 1 year was collected, and those with frequent bursts (≥2 times/year) were defined as the Frequent group.

RESULTS

Data on 236 patients were analyzed. Among them, 5.5% (95% confidence interval 3.2-9.2%) were in the Frequent group. In the Frequent group, 23% of patients had no unplanned visits, and 38% experienced at least one corticosteroid burst without visiting a physician (self-medication). One-third of patients did not undertake high-dose inhaled corticosteroid treatment, and three-fourths of patients did not undertake long-acting muscarinic antagonist treatment. Low pulmonary function and increased blood eosinophils were independently associated with the Frequent group (adjusted odds ratio = 0.73, 95% confidence interval 0.55-0.99, P = 0.039, per 10% predicted increase in a forced expiratory volume in 1 s; adjusted odds ratio = 1.15, 95% confidence interval 1.02-1.29, P = 0.025, per 100/μL increase in blood eosinophils).

CONCLUSIONS

There was a certain rate of frequent corticosteroid bursts in real clinical practice. It is important to determine the actual condition, as some patients experienced "hidden" frequent bursts and have the option to reinforce the treatment.

Obesity and asthma

Obesity has been well recognized as an important comorbidity in patients with asthma, representing a unique phenotype and endotype. This association indicates a close relationship between metabolic and inflammatory dysregulation. However, the detailed organ-organ, cellular, and molecular interactions are not completely resolved. Because of that, the relationship between obesity and asthma remains unclear. In this article, clinical and epidemiological studies, as well as data from experimental animal work, are being summarized to provide a state of the art update on this important topic. Much more work is needed, particularly mechanistic, to fully understand the interaction between obesity and asthma and to develop novel preventive and therapeutic strategies.

Association between obesity and lung function changes by sex and age in adults with asthma

OBJECTIVE

The lung function changes presenting before and after asthma treatment in obese people remain largely unknown. This study aimed to investigate the association between obesity and lung function changes before and after treatment in adults with asthma.

METHODS

We enrolled 937 newly diagnosed asthma patients from Cohort for Reality and Evolution of Adult Asthma in Korea cohort in 2015-2017, who performed follow-up spirometry after three months of asthma treatment. The percentage changes (Δ) between the spirometry results before and after treatment were calculated. Patients were categorized into four body mass index (BMI) groups; underweight (<18.5), normal (18.5-22.9), overweight (23.0-24.9), and obese (≥25.0). Association between percent change of pulmonary function and BMI was analyzed according to sex and/or age (< 45 yrs, 45-65 yrs, ≥ 65 yrs), which were statistically corrected for age, sex, smoking status, and medication history.

RESULTS

There was no consistent correlation between BMI and each lung function parameter. However, there were significant differences between BMI and ΔFEV₁/FVC before and after 3 months of controller treatment. The obese asthmatics showed significantly lower ΔFEV₁/FVC (6.0 ± 13.5%) than the underweight (12.6 ± 21.4%, P = 0.044) or normal weight (9.1 ± 14.6%, P = 0.031). Middle-aged women had higher BMI (24.11 ± 3.60 vs. 22.39 ± 3.52) and lower ΔFEV₁/FVC (5.7 ± 11.9% vs. 8.9 ± 14.3%, P = 0.012) than young women.

CONCLUSIONS

Obesity is negatively correlated with the ΔFEV₁/FVC before and after controller treatment. Sex and age differentially contribute to lung function changes in response to asthma medications in adult asthmatics, showing a significant decrease in the ΔFEV₁/FVC in middle-aged women.

Risk factors for poor asthma control and impaired quality of life in a Caribbean population

OBJECTIVE

Asthma, a major cause of disability and reduced quality of life, has a high global prevalence and burden of death. Despite the propitious guidelines, a substantial portion of asthmatics reportedly have poorly controlled disease. In the current study, we have examined risk factors for uncontrolled asthma in specialty clinics and its association with impaired quality of life.

METHODS

A multicentre cross-sectional survey of asthma patients, 18 years and older, was conducted in Trinidad. Asthma Control Test (ACT) and the Juniper Mini Asthma Quality of Life Questionnaire (Mini AQLQ-J) were used to assess the disease control and quality of life, respectively. Data were analyzed using the Chi-square test and multivariable logistic regression controlling for gender.

RESULTS

Of a total of 428 patients included, asthma was uncontrolled in 72.4% and asthma related quality of life was moderate to severely impaired in 86% of the studied population. In the multivariate regression models, poorly controlled asthma was associated with obesity (OR 2.25; 95% CI 1.30-3.39), late-onset asthma (OR 1.72; 95% CI 1.04-2.84), features of sleep apnea (OR 1.77; 95% CI 1.01-3.07) and depression (OR 2.01; 95% CI 1.04-3.86). Impaired quality of life was associated with Indo-Caribbean ethnicity (OR 3.19; 95% CI = 1.68-6.06).

CONCLUSIONS

In this Caribbean population, uncontrolled asthma was independently associated with obesity, late-onset disease, and comorbidities of sleep apnea and depression. Poor asthma-related quality of life was independently associated with Indo-Caribbean ethnicity.