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eISSN: 2373-6372

Gastroenterology & Hepatology: Open Access

Research Article Volume 16 Issue 2

The burden of antimicrobial resistance among cystic fibrosis patients: an emerging public health concern in tertiary care hospital

Tanzila Farhana,1 Salahuddin Mahmud,2 Farhana Tasneem,3 Emdadul Haque,4 Rafia Rashid,4 Madhabi Baidya,4 Ahmed Rashidul Hasan,5 Shafayet Mohammad Imteaz,6 Tanvir Ahmed,7 Aniqa Nawar Khan,7 Syed Shafi Ahmed8

1Registrar, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh
2Professor, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh
3Associate Professor, Department of Pediatrics, BIHS General Hospital, Bangladesh
4Assistant Professor, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh
5Junior Consultant, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh
6Trust Grade Registrar, CT level, Cumberland Infirmary, UK
7Resident Medical Officer, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh
8Professor & Head, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh

Correspondence: Dr. Tanzila Farhana, Registrar, Department of Pediatric Gastroenterology, Hepatology & Nutrition, Bangladesh Shishu Hospital & Institute, Bangladesh

Received: January 29, 2025 | Published: April 30, 2025

Citation: Farhana T, Mahmud S, Tasneem F, et al. The burden of antimicrobial resistance among cystic fibrosis patients: an emerging public health concern in tertiary care hospital. Gastroenterol Hepatol Open Access. 2025;16(1):67‒71. DOI: 10.15406/ghoa.2025.16.00610

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Abstract

Background: Although Cystic fibrosis (CF), though rare in Bangladesh but it poses significant morbidity due to recurrent respiratory infections and progressive lung damage to the patients. Understanding the microbiological colonization patterns and antimicrobial resistance in Bangladeshi children with CF is important for optimizing the clinical management.

Methods: This cross-sectional study was conducted in a period of 12-months at a tertiary pediatric hospital in Bangladesh. Sputum or oropharyngeal swab samples were collected from clinically stable CF patients for microbiological culture and sensitivity testing. Isolates were identified using standard biochemical methods, and antibiotic susceptibility was assessed via the Kirby-Bauer disc diffusion method according to CLSI guidelines.

Results: A total of 65 CF patients were included, with a mean age 76.63±41.08 months. The most frequently isolated organisms were Pseudomonas aeruginosa (35.4%), Staphylococcus aureus (15.4%), and Klebsiella pneumoniae (23.1%). Multidrug-resistant (MDR) strains were observed in 10.4% isolates. Notably, sensitivity to ceftazidime, meropenem, and colistin remained relatively preserved in P. aeruginosa, while S. aureus showed high resistance to penicillin but retained sensitivity to vancomycin and linezolid.

Conclusion: In this study, children with cystic fibrosis in Bangladesh demonstrate a concerning prevalence of MDR respiratory pathogens, particularly P. aeruginosa and S. aureus. Periodic surveillance of microbial colonization and antimicrobial resistance patterns is essential to guide effective empirical therapy and limit resistance development.

Keywords: Cystic fibrosis, microbial colonization, antibiotic resistance, Pseudomonas aeruginosa, Staphylococcus aureus

Background

Cystic fibrosis (CF) is an inherited disease characterized by the accretion of thick, sticky mucus that can damage many of the body's organs. The disorder's most common features include progressive damage to the respiratory system and chronic digestive system problems. Cystic fibrosis (CF) is a life-limiting autosomal recessive disorder resulting from a genetic mutation targeting the cystic fibrosis trans-membrane conductance regulator (CFTR) gene.1 The defect in the regulation of ion transport homeostasis in epithelial cells leads to a malfunction of many organs including the pancreas, the liver, the intestine, and mostly the lungs.2-5

CF has been reported in significant numbers in African Americans, and natives of Middle East countries, India and Pakistan. In the United States (US), approximately 30,000 individuals have CF; most are diagnosed by six months of age.6 The incidence/prevalence of CF is in the UK is 1 in 2500 live births and in India around 1 in 30000- 40000 live birth.7 Approximately 1 in 25 people of European descent, and 1 in 30 of Caucasian American, are a carrier of CF mutation. Although CF is less common in these groups, approximately 1 in 46 Hispanics, 1 in 65 Africans and 1 in 90 Asian carries at least one abnormal cystic fibrosis trans-membrane conductance regulator (CFTR) gene.6 In Asian populations, the existence of CF is now better established, but the incidence remains underestimated in most countries. The incidence of CF is 1/100,000 in the Indian population. The frequency of common mutation F508del in Indian children is between 19% and 34%.7

The burden of CF in Bangladesh is not well studied. A study conducted in Bangladesh has reported 9.06% of patients with respiratory problems have positive  sweat chloride test.4Traditionally, Pseudomonas aeruginosa has been regarded as the main pathogen in CF and chronic infections have been linked to disease morbidity and mortality.8 However, with intensified antibiotic therapy and prolonged patient survival, new ‘emerging’ pathogens, particularly fungi and rare bacteria, are increasingly found in adolescent and adult CF patients,9,10 but their clinical impact on lung function remains poorly defined. Particularly, methicillin-resistant Staphylococcus aureus (MRSA),11-14 non-tuberculous mycobacteria (NTM), Stenotrophomonasmaltophilia and fungi are gaining increasing attention in CF lung disease.1 Clinically, both MRSA infections and Mycobacterium abscesses complex were found to be associated with a worse course of CF lung disease.15 Yet, the relative contribution of other emerging pathogens, such as S. maltophilia, Aspergillus, Candida and Scedosporium species remains less precisely defined.9,15 Overall, it remains poorly understood, whether colonization with these species merely reflects an advanced (more ‘vulnerable’) stage of CF lung disease or whether a specific microbial colonization pattern independently contributes to lung function decline; it remains further to be defined whether certain microbes attenuate or promote the colonization with other microbes (microbial interactions) within the course of CF lung disease progression14. With intensified antibiotic therapy and prolonged patient survival, new emerging pathogens particularly fungi and rare bacteria are increasingly found in adolescent and adult CF patients. CF lung disease is distinct from other organ system manifestations because (1) lung disease is the cause of premature death in about 95% of patients, and (2) only the lung develops a chronic infection phenotype with an associated intense inflammatory response.

Antibiotic resistance is a worldwide problem that can cross international boundaries and spread between continents with ease.16,17 However, the subsequent and continuing intensive use of antibiotics since their introduction has helped to select a huge increase in the frequency of resistance among human pathogens.18 The antibiotic resistance crisis has been attributed to the overuse and misuse of medications, as well as a lack of new drug development by the pharmaceutical industry due to reduced economic incentives and challenging regulatory requirements.19,20 Therefore, the aim of this study was to determine the burden of antibiotic resistance patterns in cystic fibrosis patients by analyzing data collected in a tertiary hospital in Dhaka, Bangladesh.

Materials and methods

This cross-sectional study was carried out in Bangladesh Shishu Hospital and Institute (BSH&I) in a period of 12 months among the patient visited to this tertiary care hospital. Ethical approval of this study was obtained from the Ethical Review Committee (ERC) before the start of the study. A written informed consent was obtained from a parent or legal guardian after explaining them about the study. Patients were included in the study at least one clinical presentation of the disease a. at least one clinical sign of cystic fibrosis b. A sibling carrying the diagnosis of cystic fibrosis. The evidence of CFTR was defined as an elevated chloride concentration in sweat (> 90mmol/L) in at least two independent measurements. As the cut-off value of used pilocarpine iontophoresis device of our center was >90mmol/L. Patients with history of antibiotic therapy in the last 90 days, Other respiratory conditions such as, pulmonary tuberculosis, asthma, pneumonia, interstitial lung disease, bronchiolitis obliterans etc., Cardiac disease, and liver disease were excluded from the study. Patients were interviewed with a structured questionnaire to fill out the required variables for all the cases. To examine the pattern of microorganisms isolated from posterior pharyngeal swab or sputum samples of cystic fibrosis patients’ samples were collected according to age. Reviewing of other supporting medical documents were also examined.

Specimen collection, culture and antimicrobial susceptibility test

Sputum samples were collected in sterile plastic disposable containers. Collected specimens were stored at ambient temperature and transferred to the microbiology laboratory of the study center. All specimens were inoculated and cultured in Blood agar, chocolate agar & Mac-Conkey’s agar media.21 Then streaking (spreading) was done to find out the isolated colony. Specimens were incubated overnight for 18-24 hr. at 37°C. After 24 hr. we observed for any colony growth & gram staining was done. On the 2nd day identification as well as antibiotic sensitivity were done in disk diffusion method according to the institutional protocol.16 Additional biochemical tests for bacterial identification were performed whenever necessary. Bacterial organisms were identified by using standard laboratory cultivation protocol, morpho type analysis, growth behavior on plates.22

Statistical analysis

Statistical analyses were conducted using SPSS software version-24. Continuous variables were expressed as the mean and standard deviation. Categorical variables were expressed as counts (percentages). Nonparametric tests such as Fischer exact test were done as and when necessary. Statistical significance was determined at p ≤ 0.05.

Results

This observational cross-sectional study was conducted in the Department of Pediatric Respiratory Medicine, Bangladesh Shishu Hospital & Institute, Dhaka, Bangladesh. After careful history taking, examination and appropriate investigations, a total of 65 children visited the out-patient department, fulfilling inclusion and exclusion criteria, were included in this study. The mean age of all patients was 76.63±41.08 months (2-216 months) with majority belonged to 61-120 months of age (47.7%).  About 45(69.2%) respondents were male and 20(30.8%) were female (Figure 1& 2).

Figure 1 Distribution of age group of respondents (n=65).

Figure 2 Distribution of socio-economic condition of respondents (n=65).

Socio-economic status more than half of the respondents was poor (55.4%) and others were middle class (33.8%) and rich (10.8%).

Clinical findings of the respondents were presented as cough (72.3%), shortness of breathing (67.7%), fever (33.8%) and wheezing (9.2%) (Table 1).

Clinical findings

Frequency

Percentage

Fever

22

33.8

Cough

47

72.3

Shortness of breathing

44

67.7

Wheezing

6

9.2

Table 1 Distribution of clinical findings of respondents (n=65)

BMI of the respondents showed majority were within normal growth percentile (50.8%), however about 38.5% were presented as underweight (below 5th percentile) (Table 2&3).

BMI

Frequency

Percentage

Underweight (<5th percentile)

25

38.5

Normal (6-85th percentage)

33

50.8

Overweight (86-95th percentage)

4

6.4

Obese (>95th percentage)

3

4.6

Table 2 Distribution of BMI of respondents (n=65)

Microorganism

Frequency

Percentage

Bacterial

61

93.8

Pseudomonas aeruginosa

23

35.4

Klebsiella pneumonae

15

23.1

Staphylococcus aureus

10

15.4

Escherichia coli

12

18.5

Acinetobacter spp

5

7.7

Streptococcus pneumoniae

3

4.6

Fungal

   

Candida albicans

4

6.2

Table 3 Distribution of bacterial and fungal microorganism in respondents with CF (n=65)

*Multiple responses were considered

In this study, 4 types of gram-negative bacteria were found including Pseudomonas aeruginosa (35.4%), Klebsiella pneumonae (23.1%), Escherichia coli (18.5%), Staphylococcus aureus (15.4%), Acinetobacter spp. (7.7%) and Streptococcus pneumonae (4.6%). Besides, only one type of fungal microorganism, Candida albicans (6.2%), was also found in this study.

According to the pattern of microorganisms found in this study, multiple organisms were found in about 7 (10.8%) children. The rest of the children were infected with single organisms (89.2%) (Table 4).

Number of organisms

Frequency

Percentage

Single

58

89.2

Multiple

7

10.8

Table 4 Distribution of number of microorganisms in respondents with CF (n=65)

Antimicrobial sensitivity of P. aeruginosa was found in Levofloxacin (78.3%), Aztreonam (78.3%), Tobramycin (78.3%), Meropenem (73.9%), gentamycin (65.2%), piperacillin (65.2%), Ceftazidime (65%), Amikacin (52.2%), Imipenem (47.8%), and Ceftriaxone (43.5%). S. pneumonia presented antimicrobial sensitivity with Ciprofloxacin (100%), Levofloxacin (66.7%), Amoxicillin/ clavulanate (66.7%), Linezolid (66.7%) and Erythromycin (33.3%). K. pneumoniea antimicrobial sensitivity was found in Imipenem (80%), Levofloxacin (80.0%), Ciprofloxacin (73.3%), Tobramycin (53.3%), Vancomycin, Ceftriaxone, Cotrimoxazole and Piperacilline (46.7%), Amikacin (40%) and Erythromycin (40%) (Table 5).

Antimicrobial agent

P. aeruginosa (%)

K. pneumoniea(%)

E. coli (%)

S. aureus(%)

S. pneumonia (%)

Acinetobacter spp.(%)

Amikacin

52.2

40

100

Not done

Not done

40

Aztreonam

78.3

Not done

75

Not done

Not done

Not done

Amoxicillin clavulanate

Not done

Not done

not done

50

66.7

Not done

Ceftazidime

65

33.3

58.3

Not done

Not done

Not done

Ciprofloxacin

56.5

73.3

66.7

90

100

80

Ceftriaxone

43.5

46.7

not done

50

Not done

Not done

Cotrimoxazole

Not done

46.7

Not done

70

Not done

Not done

Erythromycin

Not done

33.3

Not done

Not done

33.3

Not done

Gentamycin

65.2

33.3

83.3

60

Not done

Not done

Imipenem

47.8

80

75

70

Not done

Not done

Meropenem

73.9

Not done

66.7

Not done

Not done

Not done

Piperacillin

65.2

46.7

75

Not done

Not done

40

Tobramycin

78.3

53.3

75

Not done

Not done

Not done

Vancomycin

Not done

46.7

Not done

70

Not done

Not done

Linezolid

Not done

Not done

Not done

90

66.7

Not done

Levofloxacin

78.3

80

91.7

90

66.7

80

Table 5 Distribution of antimicrobial sensitivity in gram negative bacteria in percentage

Discussion

Cystic fibrosis (CF), is a genetic disorder that affects mostly the lungs but also the pancreas, liver, kidney, intestines.23 The main feature of cystic fibrosis (CF) is chronic respiratory infection, which may start very early in the life of these patients.24 In infants, pulmonary infections with Staphylococcus aureus and Haemophilus influenzae are common and also later in childhood, infections with Pseudo- monas aeruginosa (PA) become dominant.25 Therefore, accurate identification of lower respiratory tract pathogens is crucial in the management of CF and is recommended to be performed at least every 3 months using bacterial culture sampling.26 This observational cross-sectional study was conducted with total 65 OPD patients with cystic fibrosis (CF). The main aim of the study was to find out the prevalence of microorganisms isolated from posterior pharyngeal swab or sputum samples of cystic fibrosis patients.

The mean age of this study of the patients was 76.63±41.08 months (2-216 months) with majority belonged to 61-120 months of age (47.7%). ARM Luthful Kabir et al.27 showed that, age at diagnosis (mean: 90.0 ± 48.5 months) revealed 24% (23/95) were under 5 years-old, 53% (50/95) were 5.1 to 10 years’ age group and the rest 22 (23%) were older boys and girls belonging to 10.1 to 18 years old. About 45(69.2%) respondents were male and 20(30.8%) were female present in this study. In Leila Azimi et al the mean age of the patients was 6.7±5.2 years and 28 (55%) were male patients in the sample.28 The economic status of the respondents was poor (55.4%) in this study. Majority of the respondents were from rural areas (69.2%). ARM Luthful Kabir et al showed socio-economically, most children were poor (87.4%) belonging to “Lower to mid” income groups who maintained their livelihood with a very tight monthly average.27 Age of onset of cystic fibrosis (CF) in respondents of this study were mostly (53.8%) within 2-6 months of age. The mean value of age of onset was 9.83±8.99 (SD) months. ARM Luthful Kabir et al.27 showed, age of 95 children with CF at disease onset (mean: 16.9 ± 26.6 months) was 74% (70 of 95 younger ones: 56% of 1-6 months-old toddlers and 18% of 7-12 months-old infants) and 26% (25/95) were >12 months-old.  Clinical findings of the respondents were presented as cough (72.3%), shortness of breathing (67.7%), fever (33.8%), wheezing (9.2%) of this study. Respiratory features were most common in our cohort similarly, chronic productive cough (90.71%), recurrent bronchopneumonia (72.09%) and asthma like presentation (44.19%) with wheezing and cough found in the study of Danish Abdul Aziz et al.29 BMI of the respondents showed majority were within normal growth percentile (50.8%), however about 38.5% were presented as underweight (below 5th percentile) in this study. Body Mass Index (BMI) percentile in individuals 2 to 19 years (median) was 61.3 in 2020.30

In this study, 4-gram negative bacteria were found including P. aeruginosa (35.4%), K. pneumoniea (23.1%), E. coli (18.5%), Acinetobacter spp. (7.7%), and 2-gram positive microorganism including S. aureus (15.4%) and S. pneumonia (4.6%). A total of 13 different organisms were isolated from the study population in Gulnaz Bashir et al, which included five gram-positive bacteria (38.4%), six gram-negative bacteria (46.1%), Candida spp. (7.6%) [Candida albicans (8) and Candida tropicalis (1)] and one filamentous fungus (7.6%) (Aspergillus fumigatus).31 

Only one fungal microorganism found in this study was Candia albicans (6.2%). In the study of Leah Cuthbertson et al, showed the most common operational taxonomic unit (OTU) in patients with CF was Candida parapsilosis (20.4%), whereas in non-CF bronchiectasis sputum Candida albicans (21.8%) was most common; however, CF patients with overt fungal bronchitis were dominated by Aspergillus spp, Exophiala spp., Candida parapsilosis or Scedosporium spp.32 Antimicrobial sensitivity of P. aeruginosa was found in Levofloxacin (78.3%), Aztreonam (78.3%), Tobramycin (78.3%), Meropenem (73.9%), Gentamycin (65.2%), Piperacillin (65.2%), Ceftazidime (65%), Amikacin (52.2%), Imipenem (47.8%), and Ceftriaxone (43.5%). The susceptibility rate of P. aeruginosa strains that were tested in this study of János Dégi et al, was in the following order: Ceftazidime (53.44%; 31/58), followed by Aztreonam (51.72%; 30/58), Amikacin (44.82%; 26/58), Azithromycin (41.37%; 24/58), Gentamicin (37.93%; 22/58), Cefepime (36.20%; 21/58), Meropenem (25.86%; 13/58), Piperacillin-Tazobactam (25.86%; 13/58), Imipenem (22.41%; 13/158), Ciprofloxacin (17.24%; 10/58), Tobramycin (8.62; 5/58), and Polymyxin B (1.72; 1/58).33 S. pneumonia presented 100% antimicrobial sensitivity with Ciprofloxacin, and 66.7% with Levofloxacin, while K. pneumoniea had highest antimicrobial sensitivity both in Imipenem (80%) and Levofloxacin (80%). Antimicrobial susceptibility had been seen declining over years; however studies showed the most active agents for MDR/XDR isolates were ceftaroline (99.7%/99.1% susceptible), tigecycline (96.8%/95.9% susceptible), linezolid (100.0%/100.0% susceptible), and vancomycin (100.0%/100.0% susceptible).34 S. aureus showed highest sensitivity with Levofloxacin (90%) and Ciprofloxacin (90%) and E. coli showed highest sensitivity with Amikacin (100%) in this study. S. aureus revealed varying susceptibility to Imipenem (96.7%), Levofloxacin (86.7%), Chloramphenicol (83.3%), Cefoxitin (76.7%), Ciprofloxacin (66.7%), Gentamycin (63.3%), Tetracycline and Sulfamethoxazole-trimethoprim (56.7%), and Vancomycin and Doxycycline (50%) in Olufemi Emmanuel Akanbi et al.35 In our study there were no MDR MTB or MRSA isolated.

Conclusion

This observational study tried to identify and reveal that nearly all the isolated bacteria developed substantial rates of resistance to most of the antibiotics that are used in the area. Therefore, in general, the antibiotic-resistant rate is high in the specified study hospital, the physician might prescribe antibiotics based on drug susceptibility reports available. In the case of the experimental treatment, it needs to be mandatory to prescribe antibiotics with less resistance that might be helpful to manage bacterial infections.

Limitations

This was a single center study, and the sample size was smaller. Further, multicenter large study design is needed to draw conclusions better.

Availability of data and materials

The dataset used in the current study is available from the corresponding author on reasonable request.

Funding

The study is self-funded.

Conflict of interest

There was no conflict of interest.

Acknowledgments

The authors thank all the people responsible whose feedback helped to improve the paper.

References

  1. De Boeck K. Cystic fibrosis in the year 2020: A disease with a new face. Acta Paediatr Int J Paediatr. 2020;109(5):893–899.
  2. Boutin S, Dalpke AH. Acquisition and adaptation of the airway microbiota in the early life of cystic fibrosis patients. Mol Cell Pediatr. 2017;4(1):1–9.
  3. De Boeck K, Vermeulen F, Dupont L. The diagnosis of cystic fibrosis. Presse Med. 2017;46(6):97–108.
  4. Ahsan MR, Hasan AR, Islam MZ, et al. Cystic Fibrosis—An Update. Bangladesh J Child Health. 2016;40(3):174–178.
  5. Sarkar PK, Kabir AL. Cystic Fibrosis: A Deadly Disease and the Vast Majority are Unaware of It. Bangladesh J Child Health. 2018;42(3):105–107.
  6. Kabra SK, Kabra M, Lodha R, et al. Clinical profile, diagnosis, and management of cystic fibrosis. Pediatr Pulmonol. 2007;42:1087–1094.
  7. Mayer–Hamblett N, Rosenfeld M, Gibson RL, et al. Pseudomonas aeruginosa in vitro phenotypes distinguish cystic fibrosis infection stages and outcomes. Am J Respir Crit Care Med. 2014;190(3):289–297.
  8. Chmiel JF, Aksamit TR, Chotirmall SH, et al. Antibiotic management of lung infections in cystic fibrosis. I. The microbiome, methicillin–resistant Staphylococcus aureus, gram–negative bacteria, and multiple infections. Ann Am Thorac Soc. 2014;11(7):1120–1129.
  9. Waters V. New treatments for emerging cystic fibrosis pathogens other than Pseudomonas. Curr Pharm Des. 2012;18(5):696–725.
  10. Muhlebach MS, Heltshe SL, Popowitch EB, et al. Multicenter observational study on factors and outcomes associated with different MRSA types in children with cystic fibrosis. Ann Am Thorac Soc. 2015;12(6):864–871.
  11. Lo DK, Muhlebach MS, Smyth AR. Interventions for the eradication of meticillin‐resistant Staphylococcus aureus (MRSA) in people with cystic fibrosis. Cochrane Database Syst Rev. 2018;(7):CD009650.
  12. Wolter DJ, Emerson JC, McNamara S, et al. Staphylococcus aureus small–colony variants are independently associated with worse lung disease in children with cystic fibrosis. Clin Infect Dis. 2013;57(3):384–391.
  13. Hector A, Kirn T, Ralhan A, et al. Microbial colonization and lung function in adolescents with cystic fibrosis. J Cyst Fibros. 2016;15(3):340–349.
  14. Gibson RL, Burns JL, Ramsey BW. Pathophysiology and management of pulmonary infections in cystic fibrosis. Am J Respir Crit Care Med. 2003;168(8):918–951.
  15. Paixão VA, Barros TF, Mota CMC, et al. Prevalence and antimicrobial susceptibility of respiratory pathogens in patients with cystic fibrosis. Braz J Infect Dis. 2010;14(4):406–409.
  16. World Health Organization. WHO global strategy for containment of antimicrobial resistance. WHO/CDS/CSR/DRS/2001.2. Geneva: World Health Organization; 2001.
  17. Choffnes ER, Relman DA, Mack A. Antibiotic Resistance: Implications for Global Health and Novel Intervention Strategies. Workshop Summary. Washington (DC): National Academies Press; 2010.
  18. Andersson DI, Hughes D. Persistence of antibiotic resistance in bacterial populations. FEMS Microbiol Rev. 2011;35(5):901–911.
  19. Dibah S, Arzanlou M, Jannati E, et al. Prevalence and antimicrobial resistance pattern of methicillin–resistant Staphylococcus aureus (MRSA) strains isolated from clinical specimens in Ardabil, Iran. Iran J Microbiol. 2014;6(3):163–168.
  20. Nsofor C, Nwokenkwo V, Ohale C. Prevalence and antibiotic susceptibility pattern of Staphylococcus aureus isolated from various clinical specimens in south–east Nigeria. MOJ Cell Sci Rep. 2016;3(2):60–63.
  21. Paixão VA, Barros TF, Mota CMC, et al. Prevalence and antimicrobial susceptibility of respiratory pathogens in patients with cystic fibrosis. Braz J Infect Dis. 2010;14(4):406–409.
  22. Ratjen F, Bell SC, Rowe SM, et al. Cystic fibrosis. Nat Rev Dis Primers. 2015;1:15010.
  23. Maclusky IB, Canny GJ, Levison H. Cystic fibrosis: An update. Pediatr Rev Commun. 1987;1(4):343–389.
  24. Paixão VA, Barros TF, Mota CMC, et al. Prevalence and antimicrobial susceptibility of respiratory pathogens in patients with cystic fibrosis. Braz J Infect Dis. 2010;14(4):406–409.
  25. Tramper–Stranders GA, Van der Ent CK, Wolfs TF. Detection of Pseudomonas aeruginosa in patients with cystic fibrosis. J Cyst Fibros. 2005;4(2):37–43.
  26. Eyns H, Piérard D, De Wachter E, et al. Respiratory bacterial culture sampling in expectorating and non–expectorating patients with cystic fibrosis. Front Pediatr. 2018;6:12.
  27. Kabir AL, Roy S, Habib R, et al. Cystic Fibrosis Diagnosed Using Indigenously Wrapped Sweating Technique: First Large–Scale Study Reporting Socio–Demographic, Clinical, and Laboratory Features among the Children in Bangladesh. Glob Pediatr Health. 2020;7:2333794X20967585.
  28. Azimi L, Ghanaiee RM, Shirdust M, et al. Molecular identification of gram–negative bacteria in respiratory samples of cystic fibrosis patients from a children's referral hospital in Tehran. Arch Pediatr Infect Dis. 2019;7(3):e84265.
  29. Aziz DA, Billoo AG, Qureshi A, et al. Clinical and laboratory profile of children with cystic fibrosis: Experience of a tertiary care center in Pakistan. Pak J Med Sci. 2017;33(3):554–559.
  30. Cystic Fibrosis Foundation. Cystic Fibrosis Foundation 2020 Annual Data Report. Cyst Fibros Found Patient Regist. 2021:1–96.
  31. Cuthbertson L, Felton I, James P, et al. The fungal airway microbiome in cystic fibrosis and non–cystic fibrosis bronchiectasis. J Cyst Fibros. 2021;20(2):295–302.
  32. Bashir G, Bhat JI, Mohammad S, et al. Airway microbiology in children with cystic fibrosis: A prospective cohort study from Northern India. J Trop Pediatr. 2021;67(2):1–7.
  33. Sader HS, Mendes RE, Le J, et al. Antimicrobial susceptibility of Streptococcus pneumoniae from North America, Europe, Latin America, and the Asia–Pacific Region: Results from 20 years of the SENTRY Antimicrobial Surveillance Program (1997–2016). Open Forum Infect Dis. 2019;6(1):ofz014.
  34. Dégi J, Moțco OA, Dégi DM, et al. Antibiotic susceptibility profile of pseudomonas aeruginosa canine isolates from a multicentric study in Romania. 2021;10(7):722.
  35. Akanbi OE, Njom HA, Fri J, et al. Antimicrobial susceptibility of Staphylococcus aureus isolated from recreational waters and beach sand in Eastern Cape Province of South Africa. Int J Environ Res Public Health. 2017;14(9):1001.
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