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Prevalence of anemia and its associated factors among adult asthmatic patients in Northwest Ethiopia

BMC Pulmonary Medicine volume 23, Article number: 222 (2023) Cite this article

Abstract

Background

Asthma is a heterogeneous disease characterized by chronic airway inflammation. The pathophysiologic processes of asthma can disrupt iron homeostasis, resulting in anemia. However, the association between asthma and anemia among adult asthma patients remains limited. Therefore, the main aim of this study was to determine the prevalence and factors associated with anemia among adult asthmatic patients from May to August 2021.

Methods

An institution-based, cross-sectional study was conducted among 291 asthmatic patients in Northwest Ethiopia. A pre-tested structured questionnaire and checklist were used to collect sociodemographic and clinical data. A blood specimen was collected from asthmatic patients for a complete blood count analysis and morphology assessment. The data were entered into the Epi data software and exported to the statistical package for social science version 20 software for analysis. Non-parametric Mann-Whitney U test was used to compare red blood cell parameters among groups with acute and chronic exacerbations. Binary logistic regression models were used to determine the factors associated with anemia. A p-value less than 0.05 was considered statistically significant.

Result

The overall prevalence of anemia in this study was 11% (95% CI: 7.2–14.8%). Acutely exacerbated asthmatic patients had significantly lower median values of red blood cell parameters such as red blood cell count, hemoglobin, and mean cell hemoglobin when compared to chronic exacerbations. In addition, using systemic corticosteroids (AOR = 4.07, 95% CI: 1.126–14.71, p = 0.032) and being hospitalized in the emergency department (AOR = 3.74, 95% CI: 1.26–11.07, p = 0.017) were found to be significantly associated with anemia.

Conclusion

This study demonstrated that anemia was predominant in adult asthma patients. Red blood cell number, hemoglobin level, and mean corpuscular hemoglobin were significantly lower in acute asthma exacerbations. Therefore, appropriate intervention strategies should be undertaken to reduce the prevalence of anemia among adult asthma patients to reduce further complications and provide better monitoring of asthma patients.

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Introduction

Asthma is a heterogeneous disease characterized by chronic airway inflammation. It is an inflammatory condition associated with airway hyperresponsiveness. Coughing, wheezing, shortness of breath, and chest tightness are common symptoms, along with variable expiratory airflow limitation. These symptoms are intermittent and frequently worse at night or after exercise [1].

Asthma is a significant public health issue [2]. It affects both children and adults. Currently, asthma affects over 339 million people worldwide [3]. The prevalence of asthma is high in developed countries (accounting for 15–20%) [4, 5]. Increasing urbanization, obesity, and environmental pollution are major causes. Although increasing urbanization, smoking, and population growth are factors for the rise in asthma frequency in developing countries [6].

Anemia occurs when the number of red blood cells (RBC), hemoglobin (Hb), or hematocrit value is lower than the normal range [7]. According to the World Health Organization (WHO), anemia is defined as a condition in which the RBC count is insufficient to carry oxygen to meet the body’s physiological needs [8]. A hemoglobin level of less than 13 g/dl for men and 12 g/dl for women is a cut-off value to define anemia regardless of ethnicity [9].

Asthma is known to affect iron homeostasis, resulting in anemia. The pathophysiologic mechanisms of asthma, such as inflammation, bronchoconstriction, and bronchial obstruction disrupt iron homeostasis [10]. Chronic inflammation causes anemia or iron deficiency by impairing the regulation of hepcidin and cytokines, both of which are essential for iron homeostasis [11]. In addition, the involvement of iron in inflammation changes the availability of this metal (Fe2+) and activates various pathways that coordinate inflammation [12].

Evidence suggests that anemia is common in asthmatic patients, mainly due to iron deficiency [13]. Lack of iron adversely affects the immune system and pathogen development. It also serves as an independent risk factor for developing lower respiratory tract infections [14]. Therefore, low body iron increases asthmatic attacks. A study by Bucca et al. showed that a decrease in body iron reduces forced expiratory volume (FEV1) [13]. Moreover, iron supplementation might have a role in asthma symptom improvement [15].

On the other hand, hemoglobin can stabilize the oxygen pressure in the blood and tissues. Hence, a lack of iron lowers Hb synthesis. As a result, anemia and reduced Hb levels may be associated with the global rise in asthma and allergic disorders. Anemia is considered a risk factor for asthma exacerbations [16, 17]. Furthermore, anemia decreases the peak expiratory flow (PEF) rate during acute asthma exacerbations [15].

Even though studies reported that hypoxia induces erythropoiesis, different studies have shown that RBC parameters like hemoglobin level, hematocrit, and RBC indices were lower among asthmatic patients. This might be due to the effect of corticosteroids. Use of interferes erythrocyte maturation and erythropoiesis. That predisposes the development of anemia among adult asthma patients [18, 19].

Only a few studies have found highest prevalence of anemia among asthma patients. However, the magnitude of anemia among adult asthmatic patients remains limited. Also, the magnitude of anemia among adult asthma patients in our country including our study area is not studied well. Therefore, our study was an effort to fill this gap and provide information on the burden of anemia among adult asthmatic patients. Furthermore, this study also gives knowledge on variations of RBC parameters with respect to chronic and acute asthma exacerbation states.

Methods and materials

Study design, period, and area

The institution-based cross-sectional study was conducted from May to August 2021 in Northwest Ethiopia at Tibebe-Ghion Comprehensive Specialized Hospital (TGCSH) and the University of Gondar Comprehensive Specialized Hospital (UGCSH). TGSH is a teaching hospital located in Northwest Ethiopia, 560 km away from the capital city (Addis Ababa), in the Amhara regional state, Bahirdar city. This hospital provides inpatient and outpatient care for up to 2,000 patients per day. It also serves more than five million people in the catchment area. On the other hand, UGCSH is found in Northwest Ethiopia, in the Amhara Regional State, Gondar town. The hospital serves more than 7 million people in the catchment area. There are over 400 regular follow-ups of asthmatic patients in the outpatient department of this hospital.

Study population

This study comprised a total of 291 asthmatic patients confirmed by a specialist (working in pulmonary and critical care) via clinical history and lung function tests. Patients had either an acute exacerbation or chronic, stable asthma. On the other hand, asthma patients diagnosed with chronic conditions such as HIV/AIDS, chronic kidney disease, hematological malignancies, blood loss, bleeding disorders, pregnancy, bronchiectasis, and tuberculosis were excluded from this study.

Sample size determination and sampling technique

Sample size determination

The required sample size was determined by using the single population proportion formula. By considering the proportion of 50%, 5% margin error, and 95% confidence interval.

$$n = \frac{{{{\left( {{Z_{\frac{\alpha }{2}}}} \right)}^2}p{\rm{q}}}}{{{{\rm{d}}^2}}} = {\left( {1.96} \right)^2}\left( {0.5 \times 0.5} \right)/{\left( {0.05} \right)^2} = 384$$

From the previous annual report, the total number of asthmatic patients in two hospitals per year was 1,200 (N < 10,000). Thus, a reduction formula was used. As a result, the final sample size was 291 (n = 291). The study participants were then proportionally allocated between two hospitals (Fig. 1).

Sampling technique and procedure

A lottery-based, simple random sampling technique was used to select study participants.

Fig. 1
figure 1

Shows sampling procedure

Full size image

Operational definitions

  • Asthma: Any person diagnosed with asthma by a specialist working in the pulmonary and critical care department and who experienced an asthma attack or was treated for asthma in the past 12 months.

  • Asthma-related emergency department admission: asthmatic patients who were admitted to the emergency room for health care utilization [20].

  • The severity of asthma was classified based on the Global Initiative for Asthma (GINA) 2019 guideline [21].

  • Stages of asthma were classified as intermittent, mild persistent, moderate persistent, and severe persistent based on GINA 2019 guidelines [21].

  • A habit of doing physical exercise: study subjects who had the habit of doing physical activity for at least 20–30 min per day as a continuous activity [22].

  • Acute exacerbation: asthma patients with decreased expiratory airflow, which can range from mild to a life-threatening state.

Data collection and sample processing

A structured, pre-tested questionnaire was used to collect socio-demographic and behavioral data from study participants. A checklist was used to collect clinical data from patients’ medical records, such as duration of patients living with asthma, family history of asthma, history of asthmatic drug intake before 3 months, types of asthmatic drugs, chronic disease, severity and stages of asthma, symptoms of asthma, and history of taking other drugs before 3 months. Clinical nurses collected the data through face-to-face interviews and chart reviews (medical record reviews).

A venous blood specimen (4 mL) was collected from asthmatic patients by the trained laboratory technician using the syringe method. Complete blood counts (CBC) of the study participants were analyzed using a five-differential Unicel DxH 800 Coulter cellular analysis system (Beckman Coulter, Ireland). This automated analyzer uses Coulter counting, spectrophotometry, and VCS technology principles.

Peripheral blood morphology examination was performed to confirm flags generated by the automated hematology analyzer, to check the performance of the automated hematology analyzer, and to examine RBC morphology (to classify anemia). A thin blood smear was prepared from leftover blood from the CBC. The smear was air-dried and stained with Wright stain. Then the stained smear was carefully examined with a 100X oil immersion objective by laboratory technologists. All laboratory tests were performed in the UGCSH and TGSH laboratories. The results of each study participant were carefully recorded in a form designed for laboratory result registration.

Data quality assurance and management

The English-version questionnaire was prepared and then translated into the local language (Amharic). To check for consistency and correctness, the questionnaire was retranslated back into the English version. A pretest was done on 5% of asthmatic patients at the Felege Hiwot Comprehensive Specialized Hospital (FHCSH). FHCSH is located in Northwest Ethiopia in Amhara regional state, Bahirdar city. Based on the findings of the pretest, the questionnaire was modified. In addition, data collectors were trained before starting data collection to minimize technical and observer bias.

Pre-analytical, analytical, and post-analytical phases of quality assurance were maintained in the overall laboratory procedures. Quality control for working equipment and reagents was ensured by using standard controls. Standard operating procedures and manufacturer’s instructions were strictly followed during sample collection and laboratory procedures. The questionnaire was checked for clarity, consistency, and completeness by the principal investigator. The result of every test was properly recorded, reviewed, and transcribed.

Data processing and statistical analysis

Data was entered into the Epi-data software (version 3.0.4). The data were then cleaned and exported into the Statistical Package for Social Science version 20 software (IBM Corp., Armonk, NY, USA) for analysis. Descriptive statistics, such as frequencies and percentages, were used to summarize the data. The Shapiro-Wilk test and histogram were used to assess normal distribution for continuous variables. Tables and figures were used to present the data.

Since the continuous variables were not normally distributed the non-parametric Mann Whitney U test was used to compare RBC parameters among groups. A bivariable and multivariable binary logistic regression analysis was carried out to determine the association between predictors and outcome variables. The strength of the association was determined by using the crude odds ratio (COR) and adjusted odds ratio (AOR) with a 95% confidence interval (CI). Variables with a p-value of less than 0.2 were fitted into the multivariable logistic regression analysis. Hosmer and Lemeshow’s goodness-of-fit statistic was used to check the model’s fitness. In all cases, a p-value of less than 0.05 was considered statistically significant.

Ethical consideration

Ethical clearance was gained from the ethical review committee of the School of Biomedical and Laboratory Science, College of Medicine and Health Sciences, University of Gondar, with letter reference number SBMLS-2748/2021. The department of Hematology and Immunohematology provided a support letter, which was forwarded to the directors of UGCSH and TGCSH. In addition, a permission letter to conduct research was obtained from the UGCSH and TGCSH directors.

Written informed consent was obtained from each study participant after the objective of the study was explained. Study participants were identified by using codes rather than individual identifiers. The results and information of the study participants were kept confidential. Study participants who had anemia were linked to the UGCSH and TGSH chronic outpatient departments for proper management. All methods were performed in accordance with the relevant guidelines and regulations (Declaration of Helsinki).

Result

Sociodemographic characteristics of the study participants

A total of 291 adult asthma patients were enrolled in this study. The age range was from 18 to 65 years, with a median and interquartile range (IQR) of 50 (38–60) years. Females comprise 164 (56.4%). About 186 (63.9%) of the study participants were urban residents. Regarding educational status, 126 (43.3%) were unable to read and write (Table 1).

Table 1 Socio-demographic characteristics of adult asthmatic patients (n = 291)
Full size table

Behavioral characteristics and body mass index (BMI) of the study participants

Of the study participants, 5 (1.7%) were current cigarette smokers, and 52 (17.9%) had a habit of doing physical exercise. About 64 (22%) had an alcohol-drinking habit. In terms of BMI, 51 (17.5%) were overweight (Table 2).

Table 2 Shows behavioral characteristics and BMI of the study participants
Full size table

Clinical characteristics of study participants

The majority of study participants have been living with asthma for less than five years, 121 (41.6%). Around 176 (60.5%) and 186 (63.9%) had moderate severity and moderately persistent stages of asthma, respectively. About 241 (82.8%) were used asthma medication in the past three months. Asthma-related emergency admissions account for 86 (29.6%) (Table 3).

Table 3 The clinical characteristics of adult asthmatic patients (n = 291)
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Prevalence and severity of anemia among asthmatic patients

The median (IQR) values of RBC, Hb, HCT, and MCV were 4.9 (4.44–5.41), 14.7 (13.4–14.7), 43.4 (40–43.4), and 88.8 (85.1–92.5), respectively (Table 4). In this study, the prevalence of anemia was 11%, with a 95% confidence interval of 7.2–14.8%. In terms of severity, the majority of study participants had mild anemia (82.4%) and about 18% of asthma patients had moderate anemia.

Table 4 The median (IQR) of hematological parameters (n = 291)
Full size table

Comparisons of RBC parameters with acute and chronic asthma exacerbations

Since the RBC parameters were not normally distributed, the non-parametric Mann-Whitney U test was used to compare the median (IQR) of RBC parameters between acute and chronic asthma exacerbations. Based on this analysis, RBC, Hb, and MCH showed a statistically significant median difference between acute and chronic asthma exacerbations (Table 5).

Table 5 Comparisons of RBC parameters with acute versus chronic asthma exacerbations (Mann-Whitney U test)
Full size table

Factors associated with anemia among adult asthmatic patients

A bivariable and multivariable logistic regression analysis was done to determine factors associated with anemia. In a bivariable logistic regression analysis, variables like monthly income, asthma severity, asthma-related emergency admissions, and SC use showed an association with anemia. While in multivariable logistic regression analysis, taking SC (AOR = 4.07; 95% CI: 1.126–14.71, p = 0.032) and being admitted to the emergency department (AOR = 3.74; 95% CI: 1.26–11.07, p = 0.017) only showed a statistically significant association (Table 6).

Table 6 Bi-variable and multivariable logistic regression analysis for factors associated with anemia
Full size table

Discussion

In this study, the prevalence of anemia was 11% (95% CI = 7.2–14.8%). This finding was in line with a study conducted in Egypt (11.2%) [23] and a study done by John et al. (10%) [24]. In addition, different investigations have also revealed the manifestation of anemia in bronchial asthmatic patients [25]. Similarly, different studies reported that the prevalence of anemia was high in asthmatic patients [26, 27].

On the other hand, the findings of this study were lower than a study conducted in Iraq [15]. The discrepancy might be due to the difference in socioeconomic status, geographical location, and sample size (291 vs. 100). Conversely, a study conducted in Ethiopia reported that asthmatic patients had a higher mean RBC count and Hb level than normal healthy controls. But the mean difference was not statistically significant [28]. The study suggested that pulmonary hypoxia in bronchial asthma contributes to the release of erythropoietin hormone from the kidney [29]. The possible explanation for the discrepancy might be due to the difference in study groups. The study by Hailemaryam et al., does not have included patients on corticosteroid therapy. Corticosteroids have effect on erythrocyte production and maturation [19].

There are different ways to explain the existence of anemia in asthma patients. Chronic inflammation, which is a characteristic feature of asthma, may be associated with anemia. It can cause anemia of inflammation by impairing hepcidin regulation. The involvement of cytokines and inflammatory mediators plays an important role in the development of anemia by altering iron availability and ferritin accumulation. Several cytokines, which are essential for iron homeostasis, accelerate the turnover of red blood cells (RBC) and reduce Hb and iron levels [30,31,32]. Cytokines such as TNFα, IFNγ, or IL-6 can decrease the synthesis and lifespan of RBCs or enhance the phagocytosis of erythrocytes [33,34,35]. IL-6 stimulates the production of hepcidin by hepatocytes, which disrupts iron homeostasis [36, 37].

In particular, anemia of inflammation can be related to aging. Studies have shown that older age might be a risk factor for inflammatory anemia [38, 39]. In the present study, the majority of participants were elderly (age > 45 years). Of those older patients, about 24 (75%) developed anemia. Therefore, older asthmatic patients may be more likely to develop anemia than younger patients.

Based on the non-parametric Mann-Whitney U test, patients with acute exacerbations had significantly lower median (IQR) values of RBC, Hb, and MCH when compared to patients with chronic asthma exacerbations. This might be due to the fact that asthma disrupts iron hemostasis. Thus, disruption of iron hemostasis leads to a decrease in the amount of metal (Fe2+) necessary for hemoglobin synthesis [10, 12]. Therefore, RBC production is reduced due to impaired hemoglobin synthesis. On the other hand, anemia may exaggerate the inflammatory process in asthma. Indeed, increased inflammation aggravates acute exacerbations [25]. The presence of anemia and low iron levels may be associated with lower PEF, particularly in acute exacerbations. Therefore, patients with anemia might have more severe asthma episodes (acute exacerbations).

Asthmatic patients who were admitted to the emergency department had 3.7 times higher odds of having anemia than patients who had not been admitted to the emergency department (AOR = 3.74; 95% CI; 1.26–11.07; p = 0.017). This might be due to the fact that anemic patients may have a higher risk of developing more asthma attacks, which cause emergency admissions. In asthma patients, the presence of anemia can be associated with more severe clinical patterns (poorly controlled asthma) [15]. Moreover, anemia can exaggerate inflammation in asthma patients [25].

Study participants who were using SC had four times higher odds of developing anemia than those who had not taken SC (AOR = 4.07; 95% CI: 1.126–14.71, p = 0.032). The possible explanation might be due to the effects of drugs. A study by Saidu H et al. reported the decreased HCT, Hb, and RBC values of asthmatic patients on corticosteroids compared with healthy controls [18]. It has been reported that corticosteroids have a direct impact on erythropoietin signaling and transcriptional processes to affect the maturation of erythroid cells [19]. In addition, corticosteroids may affect the metabolism of iron and inhibit erythropoiesis [19]. When given parenterally, corticosteroids have the strongest overall effects [40]. As a result, these general effects of corticosteroids on erythropoiesis might be associated with the occurrence of anemia among adult asthmatic patients.

This study has many limitations. Firstly, the cross-sectional nature of the study does not employ cause-and-effect relationships (temporal relationships). Another limitation is due to the lack of testing materials, we were unable to assess iron parameters like serum iron level and ferritin level (we have not investigated iron deficiency anemia) and inflammatory cytokines like IL-6 and TNFα.

Conclusion

In conclusion, our study indicated the predominant existence of anemia among adult asthmatic patients. Asthma-related emergency department admissions and SC use were associated with anemia among adult asthma patients. Therefore, appropriate intervention strategies should be implemented to lower the prevalence of anemia among adult asthma patients to reduce further complications, hospitalization, and provide better follow-up of asthma patients. Furthermore, the effect of asthmatic drugs such as ICS and SC on erythropoiesis should be independently assessed with an appropriate control group in the future.

Data Availability

All the data on which the conclusions of this manuscript were drawn are available from the corresponding author. As a result, anyone who needs the data can obtain it upon reasonable request.

Abbreviations

AOR:

Adjusted Odds Ratio

BMI:

Body Mass Index

CI:

Confidence Interval

COR:

Crude Odds Ratio

ED:

Emergency Department

FEV:

Forced Expiratory Volume FHCH: Felege Hiwot Specialized Hospital

FHCH:

Felege Hiwot Specialized Hospital

GINA:

Global Initiative for Asthma

Hb:

hemoglobin

HCT:

Hematocrit

ICS:

Inhaled Corticosteroids

IQR:

interquartile range

PEF:

peak expiratory flow

RBC:

red blood cell

MCH:

Mean Cell Hemoglobin

MCHC:

Mean Corpuscular Hemoglobin Concentration

MCV:

Mean Corpuscular Volume

SC:

systemic corticosteroids

SABA:

short-acting beta-2 antagonists

TGSH:

Tibebe-Gihon Specialized Hospital

UGCSH:

University of Gondar Comprehensive Specialized Hospital

WHO:

World Health Organization

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Acknowledgements

The authors would like to thank the study participants and data collectors. Our acknowledgement also extends to the University of Gondar, College of Medicine and Health Science, School of Biomedical and Laboratory Science, Department of Hematology and Immunohematology.

Funding

The author(s) received no specific funding for this work.

Author information

Authors and Affiliations

  1. Department of Medical Laboratory Science, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

    Yenealem Solomon

  2. Department of Midwifery, College of Medicine and Health Science, Wolaita Sodo University, Wolaita, Ethiopia

    Natnael Atnafu Gebeyehu & Molalegn Mesele Gesese

  3. Department of Reproductive Health and Nutrition, School of Public Health, Woliata Sodo University, Sodo, Ethiopia

    Getachew Asmare Adella

  4. Department of Epidemiology and Biostatistics, School of Public Health, Woliata Sodo University, Sodo, Ethiopia

    Gizachew Ambaw Kassie

  5. Department of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

    Misganaw Asmamaw Mengstie & Endeshaw Chekol Abebe

  6. Unit of Physiology, Department of Biomedical Science, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

    Mohammed Abdu Seid

  7. Department of Nursing, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia

    Kirubel Dagnaw Tegegne

  8. Department of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

    Denekew Tenaw Anley, Melkamu Aderajew Zemene & Anteneh Mengist Dessie

  9. Department of Pediatrics and Child Health Nursing, College of Health sciences, Debre Tabor University, Debre Tabor, Ethiopia

    Natnael Moges

  10. Department of Comprehensive Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

    Berihun Bantie

  11. Department of Public Health, College of Health Sciences, Woldia University, Woldia, Ethiopia

    Sefineh Fenta Feleke

  12. Department of Medical Biochemistry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

    Tadesse Asmamaw Dejenie

Authors
  1. Yenealem Solomon
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  2. Natnael Atnafu Gebeyehu
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  3. Getachew Asmare Adella
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  4. Gizachew Ambaw Kassie
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  5. Misganaw Asmamaw Mengstie
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  6. Mohammed Abdu Seid
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  7. Endeshaw Chekol Abebe
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  8. Molalegn Mesele Gesese
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  9. Kirubel Dagnaw Tegegne
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  10. Denekew Tenaw Anley
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  11. Melkamu Aderajew Zemene
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  12. Natnael Moges
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  13. Berihun Bantie
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  14. Sefineh Fenta Feleke
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  15. Tadesse Asmamaw Dejenie
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  16. Anteneh Mengist Dessie
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Contributions

Conceptualization: Yenealem Solomon, Anteneh Mengist, Natnael Atnafu Gebeyehu. Analysis: Denekew Tenaw Anley, Melkamu Aderajew Zemene, Natnael Moges, Berihun Bantie, Yenealem Solomon. Investigation: Yenealem Solomon, Getachew Asmare Adella, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie. Methodology: Mohammed Abdu Seid, Endeshaw Chekol Abebe, Molalegn Mesele Gesese, Kirubel Dagnaw Tegegne. Project administration: Sefineh Fenta Feleke, Tadesse Asmamaw Dejenie, Anteneh Mengist Dessie, Yenealem Solomon. Supervision: Sefineh Fenta Feleke, Tadesse Asmamaw Dejenie, Anteneh Mengist Dessie, Yenealem Solomon. Validation: Yenealem Solomon, Anteneh Mengist, Natnael Atnafu Gebeyehu, Denekew Tenaw Anley, Melkamu Aderajew Zemene. Writing original draft: Natnael Moges, Berihun Bantie, Yenealem Solomon, Getachew Asmare Adella, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie. Writing, reviewing, and editing: All authors.

Corresponding author

Correspondence to Yenealem Solomon.

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Ethical consideration

Ethical clearance was gained from the ethical review committee of the School of Biomedical and Laboratory Science, College of Medicine and Health Sciences, University of Gondar, with letter reference number SBMLS-2748/2021. The department of Hematology and Immunohematology provided a support letter, which was forwarded to the directors of UGCSH and TGSH. In addition, a permission letter to conduct research was obtained from the UGCSH and TGSH directors.

Written informed consent was obtained from each study participant after the objective of the study was explained. Study participants were identified by using codes rather than individual identifiers. The results and information of the study participants were kept confidential. Study participants who had anemia were linked to the UGCSH and TGSH chronic outpatient departments for proper management. All methods were performed in accordance with the relevant guidelines and regulations (Declaration of Helsinki).

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Not applicable.

Competing interests

The authors declare no competing interests.

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Solomon, Y., Gebeyehu, N.A., Adella, G.A. et al. Prevalence of anemia and its associated factors among adult asthmatic patients in Northwest Ethiopia. BMC Pulm Med 23, 222 (2023). https://doi.org/10.1186/s12890-023-02501-9

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Keywords

BMC Pulmonary Medicine

ISSN: 1471-2466

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