ANTIMICROBIAL RESISTANCE PATTERNS AMONG BACTERIAL PATHOGENS ISOLATED FROM CLINICAL SAMPLES IN SANA'A HOSPITALS

Ghamdan Ahmed Ali Al-Tahish1image, Mojahed Ali Hatem Measar2image, Muaath Ahmed Hussein Al-Safani1image, Mortahda Ali Nasser Makeen1image, Khaled Abdulkarim Al-Moyed1,3image,  

Hassan Abdulwahab Al-Shamahy3,5image, Ahmed Mohammed Al-Haddad4image

1University of 21 September for Medical and applied Sciences, Sana’a, Yemen. 

2Faculty of Medicine, University of 21 September for Medical and applied Sciences, Sana’a, Yemen.

3Medical Microbiology and Clinical Immunology Department, Faculty of Medicine and Health Sciences, Sana’a University.

4Department of Medical Laboratories, College of Medicine and Health Sciences, Hadhramout University, Al-Mukalla.

5Faculty of Medicine, Genius University for Sciences and Technology, Dhamar/Sana'a, Yemen.

 

Abstract

Background and objectives: Yemen is among the developing nations where antimicrobial resistance (AMR) is posing a danger to public health. AMR can lead to increased morbidity and mortality from treatment failures and a lack of effective therapies. Particularly in the research arena, there is a dearth of knowledge about the antimicrobial resistance patterns of frequently isolated, locally occurring diseases. Therefore, the purpose of this study was to evaluate the diseases' microbiological profiles and resistance trends in Sana'a, Yemen. 

Methods: In Sana'a, Yemen, a retrospective study was carried out at various governmental and private hospitals between June and September of 2020. Information about antibiotic susceptibilities and cultures was taken from the microbiology department's 2019 files. The data analysis method employed was descriptive statistics. 

Results: This study includes 4156 pathogen isolates, with 58.2% of the isolates being Gram negative. Of all the isolates, urine (26.1 %, n=1086) and pus specimens (24.6 %, n = 1025) demonstrated the greatest detection rates. The most often isolated pathogens were S. aureus (35.6%, n=1479), E. coli (29.2%, n=1215), P. aeroginosa (14.1%, n=586), and Klebsiella species (10.7%, n=443). The highest rates of resistance were found for cephalosporins (cefixime 90%, cefadroxil 87.9%, cefepime 72%, and ceftriaxone 70%) and penicillins (carbincillin 87%, amoxacillin 80%, and amoxacillin/clavulanic acid 77%). Gram positive and Gram negative isolates showed minimal resistance to linezolid and vancomycin, with Enterococcus showing higher resistance. Colistin was most effective against Gram negative, while E. coli, Klebseilla, and Proteus showed high resistance.

Conclusions: The high rate of resistance discovered in the current study in both Gram-positive and Gram-negative organisms is alarming and highlights the necessity of routinely determining the prevalence of resistance in a given area in order to guide empirical therapy and choose the most effective course of antibiotic treatment. 

Keywords: Antimicrobial  resistance, bacterial isolates, clinical specimens, Multi-drug resistant (MDR), Sana'a hospitals.

 

INTRODUCTION

 

Among all prescription drugs, antibiotics are one of the most widely used. Antibiotic resistance (AR) has garnered attention in clinical settings globally recently because of its potential to increase healthcare expenses, patient morbidity, and mortality from infectious illnesses1-5. The impact is amplified in developing nations like Yemen because, despite a large volume of recent research published, much of it was focused in the country's capital, Sana'a, and information about the antibiotic susceptibility patterns of bacterial isolates in Yemen is still lacking6-11. It should be highlighted, nonetheless, that a number of significant variables, such as a failure to follow infection control protocols and an overuse or abuse of antibiotics as a result of misdiagnosis or illogical use, might promote the formation and spread of multi resistant organisms. Approximately 50% of all patient prescriptions for antibiotics12,13. Antibiotics are provided without the need for laboratory analyses to determine the cause, assess antibiotic susceptibility, or check for particular resistance markers. Antibiotic resistance is more likely to emerge now as many medications are widely available in pharmacies without a prescription. Yemen has a high concentration of each of the aforementioned elements14-16. Due to the violence and lack of funding in Yemen, the majority of medical professionals attempt to keep laboratory test costs down by treating patients using empirical medicine, or past clinical experience, rather than ordering diagnostic tests. A laboratory method should be used to provide a guide for choosing the right antibiotics, given the significant risk posed by multi-resistant pathogens. Efficient as opposed to depending on experimental therapy14-16. An increased rate of AR has been linked to an increase in the usage of antibiotics, according to several studies17-20. The percentage of prescriptions containing antibiotics was 84.2% in a 2015 study investigating how doctors write prescriptions in hospital outpatient departments in Aden, Yemen. This is significantly higher than the usual values recommended by the World Health Organization21,22. Counterfeit pharmaceuticals are another issue Yemen faces, and drug smuggling is pervasive. A recent study carried out in Yemen found that almost 40% of the medications that were brought into the nation illegally were either fake or of poor quality23. According to the World Health Organization, about 43% of counterfeit antibiotics have no effective effect. Components: 24% are low-quality, 21% have few active components, and 7% are the incorrect substances24. Because low-quality generic antibiotics may contribute to the growth of resistant microorganisms, antibiotic quality control is a critical concern25. The current study will give a summary of Sana'a City's resistance situation as of right now. The goal of this retrospective study was to identify the overall range of infections and profiles of antibiotic resistance in Sana'a, Yemen, using laboratory records from a variety of public and commercial hospitals.

 

MATERIALS AND METHODS

 

Study design: A retrospective study was done on clinical specimens that have been routinely received by the Microbiology Laboratory for culture and sensitivity. The study was conducted from March 2020 to September 2020 due to the availability of data for this period.

Study area: This study was conducted in five locations, comprising three public hospitals and three private hospitals in Sana`a city, Yemen. Public hospitals included Al-Thawra Modern General Hospital (ATH), Al-Jomhori Teaching Hospital (AJH), and 48 Hospital (48H), while private hospitals included Dr. Abdulkader Almutawakel Hospital (AMH) and the University of Science and Technology Hospital (USTH).

Study population: patient information from the Microbiology Laboratory Unit's computerized registration system. The study contained the Microsoft Excel spreadsheet report created by the system for the microbiology laboratory regarding the ASTs that were run on all isolated organisms in 2019. Fourth-year laboratory medicine students, who had received proper training, gathered data using a structured questionnaire. 

Sample size: All culture reports from different clinical specimens during 2019 were collected.

Included data: This study collected all positive culture reports that provided details about the patient's age, the kind and source of the specimen, the isolated organism, and the number of ASTs that were conducted.

Excluded data: All entries with negative culture results or incomplete data that meet the criteria were excluded from this study.

Identification of pathogens: The bacterial and fungal isolates are obtained from the electronic registration system of microbiology laboratory units in the selected hospitals and microbiological laboratories.

Antimicrobial susceptibility testing: Antimicrobial susceptibility results were collected from the records of selected sites.

Data analysis: Data input and analysis were performed using the Statistical Package for Social Sciences (SPSS) version 21 (IBM Corp., released 2012; IBM SPSS Statistics for Windows, version 21.0, Armonk, NY: IBM Corp.). The distribution of specimens and the frequencies and percentages of isolated bacteria were ascertained using descriptive statistics. Every bacterial isolate as well as all bacterial isolates' rates of antibiotic resistance were computed. Additionally, rates of multidrug resistance were found.

Ethical considerations: The ethics research committee of the Faculty of Laboratory Medicine at 21 September University accepted the study, and the hospital laboratory management gave permission to use the data collected by the registration system. There were no personal identifiers in the study.

 

RESULTS

 

Three figures and seven tables with the study results are presented. Isolated pathogens: Gram-negative bacteria made up 58.2% (n = 2419) and Gram-positive bacteria made up 41.2% (n = 1714) of the 4156 pathogens; fungi made up the remaining 0.6% (n = 23). A total of 25 distinct pathogen species were identified from all of the clinical specimens. Fourteen pathogens are classified as Gram-negative bacteria, eleven as Gram-positive bacteria, and one as a fungal species. S. aureus (n=1479, 35.6%) and Escherichia coli (n= 1215, 29.2%) were the most frequently isolated bacteria, followed by Pseudomonas aeroginosa (n= 586, 14.1%) and Klebsiella spp. (n=443, 10.7%). Lower prevalence rates were shown by Enterococcus spp. (2.4%), Proteus spp. (1.7%), CNS (1.1%), and Acinetobacter spp. (0.9%). Out of 2419 Gram-negative bacteria, Escherichia coli accounted for 50.2% of all isolated pathogens, whereas Staphylococcus aureus represented 86.2% of 1714 Gram-positive bacteria.

Cefixime (90%) and cefadroxil (87.9%) had the highest overall resistance rate among the tested isolates, while vancomycin (17.4%), linezolide (16%), colistin (15%), amikacin (15.6%), imipenem (18%), chloramphenicaol (22%), and nitrofurantoin (21%) had the lowest resistance rates. Amoxacillin/Clavulanic Acid 77%, Cefepime 72%, Ceftriaxone 70%, Piperacillin 60%, and Piperacillin/Tazobactam 26% exhibit resistance overall. 

The resistance rate to imipenem and meropenem was low (18–24%), moderate with ertapenem (47%), moderate with tetracyclines (36–47%), moderate with fluoroquinolones (33–75%), and high with macrolides (56–84%) overall. Against the majority of studied infections, the overall resistance of ciprofloxacin (55%), erythromycin (56.5%), and co-trimoxazole (62%) was less effective. In third and fourth generations, the overall resistance rate varied from 36% to 90%, whereas in combinations involving B-lactamase inhibitor cephalosporins, it ranged from 25% to 87%. 

Antifungal agent resistance rates: Among Candida spp., the overall susceptibility to antifungal drugs was 97.5%.

Multidrug-resistant bacteria: Bacteria that exhibit multidrug resistance (MDR) are resistant to at least three different types of antibiotics. These include aminoglycosides (amikacin, tobramycin, and/or gentamycin), carbapenems (imipenem and/or meropenem), quinolones (ciprofloxacin, levofloxacin, and/or moxifloxacin), and penicillins (piperacillin/tazobacta and/or amoxicilin/clavulanic acid). 44.5% (1783) of the 4008 isolates of the most prevalent and significant bacteria were isolates with multidrug resistance. Acinetobacter spp. was the most prevalent (87.4%) multidrug-resistant pathogen, followed by Proteus spp. 50.7%, Pseudomonas aeruginosa 47.8%, and Klesbiella spp. 42.2%. The MDR S predominance. 46.5% (687/1479) of the MRSA strains were based on resistance to cefoxitin and/or oxacillin, whereas 61.2% (199/325) were based on this resistance. MDR is regarded as MRSA. After screening 1007 S. aureus isolates against vancomycin, it was discovered that 18.9% of them (190/1007) had resistance. Nonetheless, it was observed that these isolates resistant to vancomycin were susceptible to imepenem 34.3% (34/99), gentamicin 51.9% (69/133), meropenem 72.3% (16/22) and linezolid 41.7% (5/12). Out of 207 MRSA strains, only 166 were found to be resistant to vancomycin, with a resistance rate of 7.2% (12/166). It is important to note, nonetheless, that azithromycin susceptibility among these strains of vancomycin-resistant bacteria reached more than half, or 58% (7/12). Only 19 of the Enterococcs spp. were evaluated against vancomycin, and the results showed that the resistance level was 42.1% (8/19). The prevalence of MDR Enterococcs spp. was 36.4% (36/99). It is noteworthy nonetheless that two thirds of 62.5% (5/8) of the vancomycin-resistant bacteria were susceptible to gentamicin.

 

DISCUSSION 

 

Antibiotic resistance (AR) can lead to a rise in mortality and morbidity as a result of inadequate treatments and treatment failures. Furthermore, as increased treatment costs deplete resources, the economic effects can be considerably more severe in a nation with limited resources like Yemen. The unavoidable result of the frequent and irresponsible use of broad spectrum antibiotics is the emergence of highly resistant bacteria. A quarter of Yemen's population suffers from malnutrition, with 3.2 million suffering from acute malnutrition as a result of the country's ongoing conflict that began in 2015. These individuals are more vulnerable to mortality and morbidity due to weakened immunity to infectious diseases26-29. Fathomer, internally displaced persons, that were 3.3 million in 2019, and war wounded among civilians and fighter facilities dissemination of resistant bacteria over the country26,30,31.

This study found the majority of isolates were gram-negative, which supports findings from previous studies in Yemen28,32. The distribution of bacterial isolates among the sample and the AMR patterns for various pathogenic isolates were disclosed by the study's findings. Pathogens causing the majority of infections from various specimens in the current study in Sana’a were identified as S. aureus, Escherichia coli, Pseudomonas aeruginosa, and Klebsiella species. The most important finding is that 35.2% of the primary specimens (urine, wound, vagina, blood, sputum, ear, etc.) included S. aureus. This result differs from one from a Yemeni study that found E. coli was the most common pathogen, followed by K. pneumoniae30,32. Furthermore, P. aeruginosa and E. coli dominated the isolates. Commensal bacteria like E. coli can be found in the natural flora of many regions of healthy people. But these germs have the potential to be harmful and spread easily. The high variety of pathogens isolated from different specimens supports the use of susceptibility tests before prescribing antibiotic therapy. In this study, urinary tract, wound, vaginal, and blood stream infections were responsible for the majority (80%) of all infections. Urine specimens dominated over other specimens, and E. coli was the most isolated bacteria.

These findings were in agreement with other respective studies conducted in Yemen and elsewhere33,34. As a result of war injuries and postsurgical wound infections, wound infections in Yemen present a significant clinical practice challenge. These infections typically result in sepsis, limb loss, extended hospital stays, increased costs, and contribute to rising global rates of morbidity and mortality28,29. S. aureus was the most prevalent pathogen among wound swab pathogens, which is consistent with prior research done in Yemen and other places29,35. Unlike our findings, which were confirmed by another investigation in which E. coli was the most prevalent pathogen36. On the other hand, septicemia is an important complication in health settings in developing countries and contributes to the rising number of morbidities and mortality. Despite the fact the fact that our study revealed that E. coli was the superior contributor to the occurrence of bloodstream infections, other studies in Yemen and Egypt demonstrated that K. pneumoniae 

(36.7%) and S. aureus (53.1%) were the predominant pathogens, respectively36,37.  With regard to the resistance patterns, the current study exhibited high levels of resistance toward antimicrobial agents, which is consistent with several studies conducted previously in Yemen1-11.  

In the present study, the highest incidence of resistance in both Gram positive and Gram negative isolates was recorded in the case of cefixime 90%, and high resistance was also documented toward amoxacillin 80%, amoxacillin/ clavulanic acid 77%, cefepime 72%, and ceftriaxone 70%. This resistance could be due to recurrent empirical therapy using new generations and strong broad-spectrum antibiotics for simple infectious or even viral diseases that leads to overuse of antibiotics and their consequences in widespread bacterial resistance to these antibiotics14-1736

According to a Yemeni study reported, most therapy prescriptions were antibiotic prescriptions that exceeded the standard values suggested by the WHO22.

The current study demonstrated that ciprofloxacin resistance (55%), erythromycin 56.5%, and co-trimoxazole (62%), were less effective against most tested pathogens. A study conducted in Yemen (2020) discovered that amoxicillin, amoxicillin/clavulanic acid, ciprofloxacin, erythromycin, and ceftriaxone were the most commonly utilized26. In Yemen, ciprofloxacin is the first-choice medication for a number of illnesses, including typhoid, GIT infections, and UTIs. The high levels of resistance observed28 may have been influenced by the antimicrobials' broad use in the treatment of infections acquired in the community.

According to several studies conducted in African nations, bacterial resistance to widely used, reasonably priced medications typically exhibits broad-spectrum activity, such as ampicillin, tetracycline, and cotrimoxazole, which have been the cornerstones of antimicrobial treatment in the continent for decades38. Generally, we observed that the highest susceptibility rates were found to be for amikacin (15.6%), imipenem (18%), and chloramphenicaol (22%). This could be explained by the rare use of these aminoglycosides and chloramphenicol in our setting. Amikacin is a very expensive drug and is usually prescribed for serious infections38. Regarding chloramphenicaol, due to fear of the dangerous side effects associated with this agent, this might be one of the reasons for the relatively low levels of resistance. Our study observed that more than 71% of each E. coli and Klebsiella spp. showed resistance against amoxicillin and clavulanic acid, a finding consistent with results from previous studies in Yemen32, while this drug is still effective among these pathogens, as documented in Ethiopia in one previous study39.  When considering the rate of resistance to individual antibiotics with specific bacteria. In current study, this result is consistent with all previously discussed antibiotic results, and we therefore adhere to the previous discussion in the tables and do not discuss individual drug-resistant species due to unnecessary repetition and length of the discussion section.

The frequency of multidrug-resistant (MDR) microorganisms, which is regarded as a major therapeutic barrier to the management of common illnesses, was another significant finding in this study. 

MDR is frequently transmitted within hospitals by patients, healthcare personnel, or the environment, especially in times of conflict when there is instability and disarray in the health care systems33

Limitations of the study

Data on antibiotic resistance are valuable but data in this study are still limited. It requires additional information about the sources of infection, assumes that some samples were collected after antibiotic treatment, uses disk diffusion methods to test for susceptibility, and is inconsistent in the number of antibiotics used, which may give unrealistic percentages in observed overall resistance. There is a need for extensive research in Yemeni cities to understand antimicrobial resistance across Yemen.

 

CONCLUSIONS

 

Sana'a, Yemen, has a high rate of antibiotic resistance patterns, according to the current study. According to this study, urine and pus specimens accounted for more than half of all clinical specimens, with S. aureus and E. coli being the most frequently isolated pathogens. The resistance of various bacteria to antibiotics was found to be high overall. The resistance to penicillins  and cephalosporins was found to be the highest, while the resistance to amikacin, chloramphenicaol, and nitrofurantoin was the lowest. Moderate bacterial resistance to ciprofloxacin was also seen in the investigation. The most common kind of S. aureus was MRSA. Colistin was the most effective against Gram negative isolates as it recorded resistance, while Enterococcus species showed increased resistance to vancomycin and no resistance to linezolid. 

 

ACKNOWLEDGEMENTS 

 

We thank and appreciate all of the medical professionals at Kuwait, Al-Jumhuri, Al-Sabeen, and Al-Thawra hospitals in Sana'a, as well as other private hospitals, for their cooperation and support. We also thank September 21 University for its support. 

 

AUTHOR’S CONTRIBUTIONS 

 

Al-Tahish GAA: supervision. Measar MAH: supervision. Al-Safani MAH: conceptualization, methodologyMakeen MAN: literature searches, research design. Al-Moyed KA: collecting data and analysis. Al-Shamahy HA: review, editing. Al-Haddad AM: data collection and processing. Final manuscript was read and approved by all authors. 

 

DATA AVILIABILITY

 

The data will be available to anyone upon request from the corresponding author.

 

CONFLICT OF INTEREST 

 

None to declare. 

 

REFERENCES

 

  1. Abbas AM, Al-Kibsi TAM, Al-Akwa AAY, et al. Characterization and antibiotic sensitivity of bacteria in orofacial abscesses of odontogenic origin. Universal J Pharm Res 2020; 5(6):36-42.https://doi.org/10.22270/ujpr.v5i6.510
  1. Al-Kebsi AM, Al-Sanabani NF, Al-Rohmi FMA, Al-Shamahy HA. Typical bacterial species that colonize the oral cavity of individuals with fixed and removable prostheses, as well as those without prostheses, and the antibiotic susceptibility profile of the bacterial isolates. Glob Acad J Dent Oral Health 2023; 5:4.
  2. AbdulMughni GTA, Al-Moyed KA, Al-Shamahy HA, et al. Diarrhea causing Enterobacteriaceae and their antibiotic resistance patterns among diarrhea patients from Sana’a city, Yemen. Universal J Pharm Res 2024; 9(2): 15-20. http://doi.org/10.22270/ujpr.v9i2.1083
  3. Al-Akwa AA, Zabara A, Al-Shamahy HA, et al. Actinomycete-mcomitans. Prevalence of Staphylococcus aureus in dental infections and the occurrence of MRSA in isolates. Universal J Pharm Res 2020; 5(2):1-6.https://doi.org/10.22270/ujpr.v5i2.384
  1. Al-Deen HS, Al-Ankoshy AAM, Al-Shamahy HA, et al. Porphyromonas gingivalis: biofilm formation, antimicrobial susceptibility of isolates from cases of Localized Aggressive Periodontitis (LAP). Universal J Pharm Res 2021; 6(4):1-7.https://doi.org/10.22270/ujpr.v6i4.633
  1. Al-Eryani SA, Al-shamahi EY, Al-Shamahy HA, et al. Bacterial conjunctivitis among malnourished children: Causes, associated factors, and ophthalmic antibiotic resistance patterns of common bacterial isolates. Universal J Pharm Res 2023; 8(6):14-22.https://doi.org/10.22270/ujpr.v8i6.1034
  1. Al-Eryani SA, Alshamahi EYA, Al-Shamahy HA, Alfalahi GHA, Al-Rafiq AA. Bacterial conjunctivitis of adults: Causes and ophthalmic antibiotic resistance patterns for the common bacterial isolates. Universal J Pharm Res 2021; 6, (1). https://doi.org/10.22270/ujpr.v6i1.535
  2. AL-Haddad KA, Ali Al-Najhi MM, Al-Shamahy HA, et al. Antimicrobial susceptibility of Aggregatibacter actinomycete mcomitans Isolated from Localized Aggressive Periodontitis (LAP) Cases. J Dent Ora Heal Ad 2021; 103.https://doi.org/10.39127/2021/JDOHAR:1000103
  1. Al-Haifi AY, Al Makdad ASM, Salah MK, Al-Shamahy HA. Urinary tract infections in post operative patients: Prevalence rate, bacterial profile, antibiotic sensitivity and specific risk factors. Universal J Pharm Res 2020; 5(3):1-6. https://doi:10.22270/ujpr.v5i3.411
  2. Al-Haifi, AY, Al Makdad, ASM, Salah MK, Al-Shamahy, HA, Al Shehari WAA. Epidemiology, bacterial profile, and antibiotic sensitivity of lower respiratory tract infections in Sana’a and Dhamar city, Yemen.  Universal J Pharm Res 2020; 5(2):1-8.https://doi.org/10.22270/ujpr.v5i2.386
  1. Al-Hammadi, MA, Al-Shamahy, HA, Qaid AA. The prevalence and phenotypic characterization of extended-spectrum β-lactamases-producing Escherichia coli strains isolates recovered from tertiary hospitals in Sana’a city, Yemen. Universal J Pharm Res 2019; 3(6):1-6.https://doi.org/10.22270/ujpr.v3i6.220
  1. Hart CA, Kariuki S. Antimicrobial resistance in developing countries. BMJ 1998; 317(7159): 647-50.
  2. Nolte O. Antimicrobial resistance in the 21st century: A multifaceted challenge. Protein and peptide letters. 2014;21(4):330-5
  3. Al-Hamzi, MA, Sharafuddin, AH, Al-Shameri BHH, et al. The effect of dental implants on aerobic bacteria colonization in the oral cavity and the antibiotic profile of common isolated aerobic bacteria. Universal J Pharm Res 2023; 8 (4):1-6. https://doi.org/10.22270/ujpr.v8i4.969
  4. Alhasani AH, Ishag RA, Al Shamahy HA, et al. Association between the Streptococcus mutans biofilm formation and dental caries experience and antibiotics resistance in adult females. Universal J Pharm Res 2020; 5(6):1-3. https://doi.org/10.22270/ujpr.v5i5.478
  5. Al-Huraibi BS, Al-Shehari M, Al-Moyed KA, Al-Shami HZ, Al-Hymia FM, Al-Shamahy HA. Comparison of antibiotic sensitivity of MRSA with MSSA among Staphylococcus aureus isolates from patients in the 48 military hospital in Sana'a city, Yemen. Universal J Pharm Res 2023; 8(4):47-52.https://doi.org/10.22270/ujpr.v8i4.974
  1. Al-Khamesy KSA, Al-Shamahy HA. Assessment of the present bacteriological profile and antibiotic sensitivity pattern in chronic suppurative otitis media in Sana’a, Yemen. Universal J Pharm Res 2023; 8 (5):1-6.https://doi.org/10.22270/ujpr.v8i5.1010
  1. AL-Magrami RTF, Al-Shamahy HA. Pseudomonas aeruginosa skin-nasopharyngeal colonization in the inpatients: prevalence, risk factors and antibiotic resistance in tertiary hospitals in Sana’a city-Yemen. Universal J Pharm Res 2019; 3(6).https://doi.org/10.22270/ujpr.v3i6.219
  1. Al-Safani AA, Al-Shamahy H, Al-Moyed K. Prevalence, antimicrobial susceptibility pattern and risk factors of MRSA isolated from clinical specimens among military patients at 48 medical compound in Sana’a city-Yemen. Universal J Pharm Res 2018; 3(3):40-44.https://doi.org/10.22270/ujpr.v3i3.165  
  1. Alshamahi EYA, Al-Shamahy HA, Musawa YA, Al- Shami HZ. Bacterial causes and antimicrobial sensitivity pattern of external ocular infections in selected ophthalmology clinics in Sana’a city. Universal J Pharm Res 2020; 5(3), July 2020.https://doi.org/10.22270/ujpr.v5i3.409
  1. Sabtu N, Enoch DA, Brown NM. Antibiotic resistance: what, why, where, when and how? British Med Bullet 2015;116:105-13.
  2. Alshakka M, Ali KS, Babakri M, Ansari M, Aldhubhani A, Hassali M, et al. A study on antibiotics prescribing pattern at outpatient department in four hospitals in Aden-Yemen. Pharmacy Practice Comm Med 2016;2(3):88–93.
  3. Sallami Z, Kassim Y, Selvaraj J, Parry E, Winter G. Impact of the armed conflict of 2015-2016 in Aden on health services and the availability of medicines. Health. 2017; 9(4):685–96.
  4. Delepierre A, Gayot A, Carpentier A. Update on counterfeit antibiotics worldwide; public health risks. Med Infect Dis 2012;42(6):247-55.
  5. Goldmann DA, Weinstein RA, Wenzel RP, et al. Strategies to prevent and control the emergence and spread of antimicrobial-resistant microorganisms in hospitals. A challenge to hospital leadership. JAMA 1996;275(3):234-40.
  6. Orubu ESF, Al-Dheeb N, Ching C, et al. Assessing antimicrobial resistance, utilization, and stewardship in Yemen: An exploratory mixed-methods study. The American J Trop Med Hyg 2021;105(5):1404-12.
  7. Task force on population movement | TFPM YEMEN | 16th Report -October 2017. 2017.
  8. Al-Shami HZ, Al-Haimi MA, Al-dossary OAE, et al. Patterns of antimicrobial resistance among major bacterial pathogens isolated from clinical samples in two tertiary’s hospitals, in Sana'a, Yemen. Universal J Pharm Res 2021; 6(5):60-67. https://doi.org/10.22270/ujpr.v6i5.674
  9. Al-Shehari, MM, Al-Khamesy, KSA, Al-Moyed, KA, et al. Distribution and antibacterial resistance of wound pathogenic bacteria in patients of Sana’a hospitals, Yemen. Universal J Pharm Res 2023; 8(3):1-8.https://doi.org/10.22270/ujpr.v8i3.942  
  1. Al-Tahish GAA, Al-Yosaffi EA, Al-Shamahy HA, et al. Prevalence of BLATEM, BLASHV, and BLACTX-M genes among ESBL-producing Escherichia coli isolated from the blood samples of icus patients of University hospitals in Sana'a city, Yemen. Universal J Pharm Res 2024; 8(6):1-6. https://doi.org/10.22270/ujpr.v8i6.1032
  2. Alyahawi A, Alkaf A, Alnamer R, Alnosary T. Study of resistance for recently marketed carbapenem drug among hospitalised patients in Sana’a, Yemen. Universal J Pharm Res 2018; 3(5):1-6. https://doi.org/10.22270/ujpr.v3i5.203
  3. Al-Yosaffi EA, Al-Shamahy HA, Othman AM, Al-Haddad AM, Al-Moyed KA. Antibiotic sensitivity of bacterial bloodstream infections in the intensive care unit patients of University hospitals in Sana'a city, Yemen. Universal J Pharm Res 2023; 8(5):22-29.https://doi.org/10.22270/ujpr.v8i5.1004    
  1. Aslam B. Antibiotic resistance: a rundown of a global crisis. Infect Drug Resist 2018; 11:1645–1658.https://doi.org/10.2147/IDR.S173867
  1. Ishak AA, Alhadi AM, Al-Moyed KAA, Al-Shamahy HA. Childhood urinary tract infection: clinical signs, bacterial causes and antibiotic susceptibility. Universal J Pharm Res 2021; 6(4):58-64. https://doi.org/10.22270/ujpr.v6i4.643
  2. Saleh AAM, Al-Shamahy HA, Al-Hrazi RMA, et al. Biofilm formation and antibiotic susceptibility of uropathogens in patients with catheter associated urinary tract infections in Ibb city -Yemen. Universal J Pharm Res 2020; 4(6):1-7. https://doi.org/10.22270/ujpr.v4i6.329  
  3. Shebl RI, Mosaad YO. Frequency and antimicrobial resistance pattern among bacterial clinical isolates recovered from different specimens in Egypt. Central African J Public Health 2019;5(1):36-45.
  4. Al-Shamahy HA, Sabrah AA, Al-Robasi AB, Naser SM. Types of bacteria associated with neonatal sepsis in Al-Thawra University Hospital, Sana'a, Yemen, and their antimicrobial profile. Sultan Qaboos University Med J 2012;12(1):48-54.
  5. Newman MJ, Frimpong E, Donkor ES, Opintan JA, Asamoah-Adu A. Resistance to antimicrobial drugs in Ghana. Infect Drug Resist 2011;4:215-20.
  6. Adane A, Belay G, Tamirat KS. Microbiological profile and drug-resistance pattern of pathogens among patients who visited the University of Gondar Comprehensive Specialized Hospital, Ethiopia. Infection Drug Resist 2020;13:4449-58.
  7. Nitzan O, Kennes Y, Colodner R, et al. Chloramphenicol use and susceptibility patterns in Israel: A national survey. The Israel Med Association J 2015;17(1):27-31.
  8. Feleke T, Eshetie S, Dagnew M, et al. Multidrug-resistant bacterial isolates from patients suspected of nosocomial infections at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. BMC Res Notes 2018;11(1):602.