Assessment of predictors for acute asthma attack in asthmatic patients visiting an Ethiopian hospital: are the potential factors still a threat?

The prevalence of asthma and its predictor among patients presetting in Ethiopian public hospitals: systematic review and meta-analysis, 2024

BACKGROUND

Asthma is a leading cause of emergency hospital visits and a significant factor in lost productive hours. The lack of a synthesized body of knowledge on bronchial asthma has notable public health implications.

OBJECTIVE

This systematic review and meta-analysis aim to investigate the prevalence of asthma and its predictors among patients presenting in Ethiopian public hospitals.

DESIGN

Duplicate studies were removed using EndNote version X9. The Newcastle-Ottawa Scale guided the quality assessment, and data extraction followed the Joanna Briggs Institute format.

DATA SOURCE AND METHODS

The authors used advanced search methods, including databases such as PubMed, Scopus, Embase, Africa Index Medicus, Science Direct, HINARI, Google Scholar, and manual searches. Data presentation adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Publication bias was assessed using Egger's regression test and a funnel plot. Sensitivity analysis was also conducted.

RESULTS

The search yielded 352 original articles, with 22 meeting the criteria for inclusion. Using the random-effects DerSimonian-Laird model, the prevalence of bronchial asthma was found to be 9.02% (95% CI: 7.50, 10.53). Several factors were associated with the prevalence of bronchial asthma, including the spring season (AOR 3.7; 95% CI: 2.11, 6.49), childhood age (AOR 4.2; 95% CI: 1.84, 9.55), and urban residence (AOR 1.7; 95% CI: 1.29, 2.31). Other significant factors include family history of asthma (AOR 2.89; 95% CI: 2.22, 3.75), insecticide exposure (AOR 3.3; 95% CI: 2.23, 4.91), and the presence of household insects like cockroaches (AOR 3.33; 95% CI: 2.15, 5.15). Smoking (AOR 3.64; 95% CI: 2.66, 4.98), obstructive sleep apnea (AOR 4.29; 95% CI: 2.37, 7.76), and recurrent upper respiratory tract infections (AOR 4.31; 95% CI: 2.24, 8.32) were also significant.

CONCLUSION

The pooled prevalence of bronchial asthma is notably high in Ethiopia. Key predictors include childhood age, spring season, urban living, family history of asthma, exposure to insecticides, presence of cockroaches, smoking, obstructive sleep apnea, and recurrent upper respiratory infections. Targeted interventions are crucial and should focus on lifestyle improvements, allergen identification, cockroach control, smoking cessation, reducing insecticide exposure, and promoting a safe environment.

TRIAL REGISTRATION

This review's protocol was pre-registered with the International Prospective Register of Systematic Reviews (PROSPERO registration number CRD42023491222).

Acute severe asthma in emergency department: clinical characteristics, risk factors, and predictors for poor outcome

Background

Severe asthma exacerbation can be a frightening experience to the patient and physician. Despite continuous efforts to frame management guidelines and advances in treatment, severe exacerbations still occur. In order to prevent and judicious management of asthma exacerbations, we should predict them first. This study aims to evaluate distinct clinical trajectories and management outcome of patients with severe asthma exacerbations and also evaluate predictors for poor outcome.

Methods

Patients suffering from acute asthma exacerbation and presented to emergency room (forty patients) were grouped into 2 groups (groups A and B) according to severity of exacerbation. Assessment included full clinical history, laboratory investigations (including eosinophil cell count and serum IgE level), Beck’s anxiety and depression inventory scales, assessment of asthma medication adherence and control level, and peak expiratory flow measurement (at presentation, 1 and 6 h after).

Results

Fifty-five percent of patients suffered from severe and life-threatening asthma exacerbations, 63.6% of them were females. The most important predictors for severe exacerbations were SO2 < 90% at baseline (OR = 4.56; 95% CI = 3.45–7.56; P < 0.001), PEFR after 1 h (OR= 3.34; 95%CI = 1.90–4.90; P < 0.001), and uncontrolled asthma (OR= 3.33; 95%CI = 2.50–5.05; P < 0.001). Predictors for hospitalization were old age (OR = 1.11; 95%CI = 1.09–2.11; P < 0.001), uncontrolled asthma (OR = 2.34; 95%CI = 2.01–4.40; P < 0.001), PEFR after 1 h (OR= 4.44; 95%CI= 3.24–7.68; P < 0.001), and SO2 <90% at baseline (OR= 5.67; 95%CI= 3.98–8.50; P < 0.001).

Conclusions

Severe asthma exacerbations can be predicted by old age, previous history of mechanical ventilation, obstructive sleep apnea, overuse of SABA, uncontrolled asthma, moderate to severe depression, eosinophilia, SO2 <90%, and low peak expiratory flow rates.

Determinants of Asthma Attack Among Adult Asthmatic Patients Attending at Public Hospitals of West Shoa Zone, Oromia Regional State, Ethiopia, 2021: Case-Control Study

Background

Asthma attacks are life-threatening episodes that place a costly burden on the individual and the community in both high- and low-income countries including Ethiopia. There is scant information on the determinant of it in the study area.

Objective

To identify determinants of asthma attack among adult asthmatic patients attending at public hospitals of West Shoa Zone, Oromia Regional State, Ethiopia.

Methods

An institutional-based unmatched case–control study design was conducted. In this study, 300 participants (100 cases and 200 controls) were included. A pre-tested structured questionnaire was used to collect data. After the data were entered into Epidata version 3.1, it was exported to SPSS version 25 for analysis. First, bivariable logistic regression was performed. Independent variables with a p-value < 0.25 in binary logistic regression were entered into a multivariable logistic regression model. In the multivariable logistic regression model, independent variables with a p-value < 0.05 were considered to be significant determinants of the outcome variable of the study.

Results

This finding identified that upper respiratory tract infection (AOR = 5.89, 95% CI: 2.72, 12.79), obstructive sleep apnea (AOR = 3.48, 95% CI: 1.58, 7.66), passive smoker (AOR = 5.93, 95% CI: 2.07, 16.96), spring season (AOR = 2.49, 95% CI: 1.27, 4.89), pet ownership (AOR = 3.63, 95% CI: 1.82, 7.22), kitchen smoke (AOR = 2.31, 95% CI: 1.6, 4.6), rhinitis (AOR = 4.49, 95% CI: 2.25, 8.93) and being jobless (AOR = 5.68, 95% CI: 1.94, 16.68) were significant determinants of asthma attack.

Conclusion

In this study, upper respiratory tract infection, obstructive sleep apnea, passive smoker, spring season, kitchen smoke, pet ownership, rhinitis, and being jobless were identified as significant determinants of an asthma attack. Because asthma attacks are life-threatening events, effective methods and interventions on determinants of asthma attack incidence should be implemented.

Between and Within Sexual Identity-Group Differences in Asthma Prevalence in the United States

BACKGROUND

Although prior studies have established the association of asthma with smoking and obesity, literature on difference-in-differences analyses involving sexual identity is sparse. Therefore, this study aimed to examine the between and within sexual identity-group differences in asthma prevalence among individuals who smoke and are obese.

METHODS

We aggregated the 2017-2019 National Survey on Drug Use and Health data on adults (N = 128,319) to perform weighted multivariable logistic regression analysis and marginal estimates and marginsplot to determine asthma prevalence by sexual identity and the status of smoking and obesity.

RESULTS

About 66% of the study population reported having asthma. Among the individuals with asthma, 42% were obese, 10% were daily cigarette smokers, and 6% identified as bisexual persons. Lesbian/gay daily smokers (86%) or former smokers (75%) had a higher probability of having asthma than bisexual (daily smokers = 78% vs former smokers = 72%) and heterosexual (daily smokers = 68% vs former smokers = 65%) persons. Within each sexual identity subgroup, daily smokers (68-86%) had the highest probability of asthma. Obese bisexual (73%) or lesbian/gay (72%) persons had higher probabilities of having asthma than heterosexual persons (69%). Obese (73%) or overweight (72%) bisexual (compared to normal weight = 70% or underweight = 51%) and obese (69%) or overweight (65%) heterosexual (compared to normal weight = 62% or underweight = 57%) persons had the highest probabilities of having asthma within their groups, whereas overweight persons (overweight = 81% vs underweight = 79%, normal weight = 78%, and obese = 72%) had the highest probabilities within lesbian/gay persons.

CONCLUSIONS

Smoking and obesity show heightened odds for asthma, with significant odds for sexual minorities in asthma diagnosis relative to heterosexuals. These findings provide formative information for future longitudinal and experimental studies to explore these mechanisms of asthma risks among sexual and gender minorities.

Determinants of Acute Asthma Attack among adult asthmatic patients visiting hospitals of Tigray, Ethiopia, 2019: case control study

INTRODUCTION

Acute asthma attack is one of the most common causes of visits to hospital emergency departments in all age groups of the population and accounts for the greater part of healthcare burden from the disease. Despite, Acute asthma attack is an important public health problem that affects not only the patients, but also to the family, health professionals, health care institutions and development of the nation, little is known about the risk factors of acute asthma attack.Therefore, this study is aimed to investigate the determinants of acute asthma attack among.

OBJECTIVE

The aim of this study was to assess the determinant factors of acute asthma attack among adult asthmatic patients visiting general hospitals of central zone, Tigray, Ethiopia, 2019.

METHOD

Hospital based unmatched case control study design was conducted in general hospitals of central zone of Tigray, Ethiopia 2019. Data were collected using pretested interviewer administered questionnaire. A total of 289 study subjects (96 cases &193 controls) were selected by systematic random sampling. Data were entered to Epi data version 3.1 then exported to SPSS version 23 for analysis. Bivariate logistic regression was employed to examine the statistical association between dependent and independent variables. Variables with p value < 0.25 in binary logistic regression were entered to multivariable logistic regression model and variables with p value < 0.05 was taken as significant determinants of the outcome variable.

RESULT

A total of 96 adult asthmatic patients who have acute asthma attack (cases) and 193 adult asthmatic patients without attack (controls)) with 100% response rate were participated in this study. Upper Respiratory tract Infection [AOR = 6.835,95% CI = 3.285,14.222], Season [AOR =2.204,95% CI = 1.011,4.805] kitchen smoke [AOR = 2.307,95%CI1.010,5.272]& sleep apnea [AOR = 9.254, 5%CI =3.563,25.460] were significantly associated with acute asthma exacerbation.

Prevalence and associated factors of bronchial asthma among adult patients in Debre Berhan Referral Hospital, Ethiopia 2018: a cross-sectional study

Objective

Bronchial asthma is one of the major public health challenges throughout the world that negatively impact patients, families and community. The objective of this study was to assess the prevalence and associated risk factors of bronchial asthma among patients in adult emergency department of Debre Berhan Referral Hospital. A hospital based cross-sectional study design was used among 257 study participants. A systematic sampling technique was used to select the study participants. Data was collected by using pretested and structured questionnaire and analyzed by using SPSS version 20.0. Both bivariate and multivariate logistic regression model was used to identify the predictors of asthma.

Results

Prevalence of bronchial asthma among adult patients was 29.6%. Being an urban resident (AOR: 1.5: 95% CI 1.3–3.9), income of household less than 1000 EBr/month (AOR: 1.7: 95% CI 1.6–4.1), having family history of asthma (AOR: 2.7: 95% CI 1.3–5.8), and presence of vermin in the house (AOR: 2.4: 95% CI 1.2–4.7) were significantly associated with bronchial asthma. The authors concluded that the prevalence of bronchial asthma among adult patients was high. Therefore, educational program about the risk factors and preventive measures of asthma is highly recommended.