1
|
Mudenda S, Chabalenge B, Daka V, Jere E, Sefah IA, Wesangula E, Yamba K, Nyamupachitu J, Mugenyi N, Mustafa ZU, Mpundu M, Chizimu J, Chilengi R. Knowledge, awareness and practices of healthcare workers regarding antimicrobial use, resistance and stewardship in Zambia: a multi-facility cross-sectional study. JAC Antimicrob Resist 2024; 6:dlae076. [PMID: 38764535 PMCID: PMC11100357 DOI: 10.1093/jacamr/dlae076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 04/29/2024] [Indexed: 05/21/2024] Open
Abstract
Background Antimicrobial resistance (AMR) poses a threat to public health globally. Despite its consequences, there is little information about the knowledge, awareness, and practices towards AMR among healthcare workers (HCWs). Therefore, this study assessed the knowledge, awareness and practices regarding antimicrobial use (AMU), AMR and antimicrobial stewardship (AMS) among HCWs who are involved in the implementation of AMS activities across eight hospitals in Zambia. Methods A cross-sectional study was conducted among 64 HCWs from October to December 2023 using a semi-structured questionnaire. Data were analysed using IBM SPSS version 25.0. Results Of the 64 HCWs, 59.4% were females, 60.9% were aged between 25 and 34 years, 37.5% were nurses, 18.7% were pharmacists, 17.2% were medical doctors and only one was a microbiologist. Overall, 75% of the HCWs had good knowledge, 84% were highly aware and 84% had good practices regarding AMU, AMR and AMS. Most of the HCWs (90.6%) responded that they had a multidisciplinary AMS team at their hospitals and were implementing the use of the WHO AWaRe classification of antibiotics. Conclusion This study found good knowledge levels, high awareness and good practices regarding AMU, AMR and AMS among HCWs who were involved in the implementation of AMS activities in hospitals in Zambia. Additionally, most hospitals have been conducting AMS training and implementing the use of the WHO AWaRe classification of antibiotics. However, there is still a need to address some identified gaps in AMU and AMR through the strengthening of AMS activities in hospitals.
Collapse
Affiliation(s)
- Steward Mudenda
- Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia
| | - Billy Chabalenge
- Department of Medicines Control, Zambia Medicines Regulatory Authority, Lusaka, Zambia
| | - Victor Daka
- Department of Public Health, Michael Chilufya Sata School of Medicine, Copperbelt University, Ndola, Zambia
| | - Elimas Jere
- Department of Medicines Control, Zambia Medicines Regulatory Authority, Lusaka, Zambia
| | - Israel Abebrese Sefah
- Pharmacy Practice Department, School of Pharmacy, University of Health and Allied Sciences, Volta Region, PMB 31, Ho, Ghana
| | - Evelyn Wesangula
- Strengthening Pandemic Preparedness, Eastern, Central, and Southern Africa Health Community, Arusha, Tanzania
| | - Kaunda Yamba
- Antimicrobial Resistance Coordinating Committee, Zambia National Public Health Institute, Lusaka, Zambia
| | | | - Nathan Mugenyi
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Zia Ul Mustafa
- Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Penang, 11800, Malaysia
- Department of Pharmacy Services, District Headquarter (DHQ) Hospital, Pakpattan, 57400, Pakistan
| | - Mirfin Mpundu
- Action on Antibiotic Resistance (ReAct) Africa, Lusaka, Zambia
| | - Joseph Chizimu
- Antimicrobial Resistance Coordinating Committee, Zambia National Public Health Institute, Lusaka, Zambia
| | - Roma Chilengi
- Antimicrobial Resistance Coordinating Committee, Zambia National Public Health Institute, Lusaka, Zambia
| |
Collapse
|
2
|
Kasanga M, Kwenda G, Wu J, Kasanga M, Mwikisa MJ, Chanda R, Mupila Z, Yankonde B, Sikazwe M, Mwila E, Shempela DM, Solochi BB, Phiri C, Mudenda S, Chanda D. Antimicrobial Resistance Patterns and Risk Factors Associated with ESBL-Producing and MDR Escherichia coli in Hospital and Environmental Settings in Lusaka, Zambia: Implications for One Health, Antimicrobial Stewardship and Surveillance Systems. Microorganisms 2023; 11:1951. [PMID: 37630511 PMCID: PMC10459584 DOI: 10.3390/microorganisms11081951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/21/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
Antimicrobial resistance (AMR) is a public health problem threatening human, animal, and environmental safety. This study assessed the AMR profiles and risk factors associated with Escherichia coli in hospital and environmental settings in Lusaka, Zambia. This cross-sectional study was conducted from April 2022 to August 2022 using 980 samples collected from clinical and environmental settings. Antimicrobial susceptibility testing was conducted using BD PhoenixTM 100. The data were analysed using SPSS version 26.0. Of the 980 samples, 51% were from environmental sources. Overall, 64.5% of the samples tested positive for E. coli, of which 52.5% were from clinical sources. Additionally, 31.8% were ESBL, of which 70.1% were clinical isolates. Of the 632 isolates, 48.3% were MDR. Most clinical isolates were resistant to ampicillin (83.4%), sulfamethoxazole/trimethoprim (73.8%), and ciprofloxacin (65.7%) while all environmental isolates were resistant to sulfamethoxazole/trimethoprim (100%) and some were resistant to levofloxacin (30.6%). The drivers of MDR in the tested isolates included pus (AOR = 4.6, CI: 1.9-11.3), male sex (AOR = 2.1, CI: 1.2-3.9), and water (AOR = 2.6, CI: 1.2-5.8). This study found that E. coli isolates were resistant to common antibiotics used in humans. The presence of MDR isolates is a public health concern and calls for vigorous infection prevention measures and surveillance to reduce AMR and its burdens.
Collapse
Affiliation(s)
- Maisa Kasanga
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China (J.W.)
| | - Geoffrey Kwenda
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia;
| | - Jian Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China (J.W.)
| | - Maika Kasanga
- Department of Pharmacy, University Teaching Hospital, Lusaka 50110, Zambia;
| | - Mark J. Mwikisa
- Department of Pathology and Microbiology, University Teaching Hospital, Lusaka 50110, Zambia (B.B.S.)
| | - Raphael Chanda
- Adult Centre of Excellence, University Teaching Hospital, Lusaka 50110, Zambia
| | - Zachariah Mupila
- Department of Pathology and Microbiology, University Teaching Hospital, Lusaka 50110, Zambia (B.B.S.)
| | - Baron Yankonde
- Department of Pathology and Microbiology, University Teaching Hospital, Lusaka 50110, Zambia (B.B.S.)
| | - Mutemwa Sikazwe
- Department of Pathology, Lusaka Trust Hospital, Lusaka 35852, Zambia
| | - Enock Mwila
- Department of Pathology, Lusaka Trust Hospital, Lusaka 35852, Zambia
| | - Doreen M. Shempela
- Churches Health Association of Zambia, Lusaka 34511, Zambia
- Department of Laboratory and Research, Central University of Nicaragua, Managua 12104, Nicaragua
| | - Benjamin B. Solochi
- Department of Pathology and Microbiology, University Teaching Hospital, Lusaka 50110, Zambia (B.B.S.)
| | - Christabel Phiri
- Department of Microbiology, School of Public Health, University of Zambia, Lusaka 10101, Zambia
| | - Steward Mudenda
- Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia
- Research and Surveillance Technical Working Group, Zambia National Public Health Institute, Lusaka 10101, Zambia
| | - Duncan Chanda
- Adult Centre of Excellence, University Teaching Hospital, Lusaka 50110, Zambia
| |
Collapse
|
3
|
Antibiotic Drug Resistance Pattern of Uropathogens in Pediatric Patients in Pakistani Population. Antibiotics (Basel) 2023; 12:antibiotics12020395. [PMID: 36830305 PMCID: PMC9952681 DOI: 10.3390/antibiotics12020395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/08/2023] [Accepted: 02/12/2023] [Indexed: 02/18/2023] Open
Abstract
The common prevalent diseases in the age of 0 to 6 are related to urinary tract infections. If not properly diagnosed, they will lead to urological and nephrological complications. Uropathogens are developing resistance against most drugs and are harder to treat. A study was done on the inpatients and outpatients of the two hospitals located in Lahore. A total of 39,750 samples that were both male and female were collected. Escherichia and Klebsiella were found in 234 samples based on biochemical characterization, growth on CLED agar, and white blood cell/pus cell (WBC) microscopy. In comparison to males, female samples had a higher number of uropathogens (1:1.29). From the samples of Shaikh Zayed Hospital (SZH), the ratio of Klebsiella to Escherichia (1:1.93) was reported, while this ratio was 1.84:1 from the Children Hospital (CH). The incidence of UTI was higher in the month of September. Randomly selected Escherichia and Klebsiella were verified via a 16S rRNA sequence. Antibiotic resistance profiling of isolated bacterial strains was done against 23 antibiotics. The most efficient antibiotics against Klebsiella and Escherichia were colistin sulphate (100% sensitivity against bacteria from CH; 99.3% against strains from SZH) and polymyxin B (100% sensitivity against strains from SZH; 98.8% against strains from CH). Sensitivity of the total tested strains against meropenem (74%, SZH; 70% CH), Fosfomycin (68%, SZH; 73% CH strains), amikacin (74% SZH; 55% CH), and nitrofurantoin (71% SZH;67% CH) was found, Amoxicillin, ampicillin, and cefuroxime showed 100 to ≥90% resistance and are the least effective.
Collapse
|
4
|
Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years' Worth of Antibiogram Data. Life (Basel) 2021; 11:life11101059. [PMID: 34685429 PMCID: PMC8537761 DOI: 10.3390/life11101059] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/28/2021] [Accepted: 10/05/2021] [Indexed: 12/18/2022] Open
Abstract
The global emergence of antimicrobial resistance (AMR) has become a critical issue for clinicians, as it puts the decades of developments in the medical field in jeopardy, by severely limiting the useful therapeutic arsenal of drugs, both in nosocomial and community-acquired infections. In the present study, a secondary analysis of taxonomic and resistance data was performed, corresponding to urinary tract infections (UTIs) caused by Gram-negative bacteria, detected between 1 January 2008 to 31 December 2017 at the Albert Szent-Györgyi Health Center, University of Szeged. The following were identifiable from the data collected: year of isolation; outpatient (OP)/inpatient (IP) origin of the isolate; taxonomy; and susceptibility/resistance to selected indicator antibiotics. Principal component analysis (PCA) and a correlation matrix were used to determine the association between the presences of resistance against indicator antibiotics in each taxonomic group. Overall, data from n = 16,240 outpatient and n = 13,964 inpatient Gram-negative UTI isolates were included in the data analyses. In E. coli, strong positive correlations were seen between resistance to ciprofloxacin (CIP) and gentamicin (GEN) resistance (OP: r = 0.6342, p = 0.049; IP: r = 0.9602, p < 0.001), whereas strong negative correlations were shown for fosfomycin (FOS) and nitrofurantoin (NIT) resistance (OP: r = -0.7183, p = 0.019; IP: r = -0.7437; p = 0.014). For Klebsiella spp. isolates, CIP resistance showed strong positive correlation with resistance to third-generation cephalosporins (3GC) and GEN (r = 0.7976, p = 0.006 and r = 0.7428, p = 0.014, respectively) in OP isolates, and with resistance to trimethoprim-sulfamethoxazole (SXT) and FOS (r = 0.8144, p = 0.004 and r = 0.7758, p < 0.001, respectively) in IP isolates. For members of the Citrobacter-Enterobacter-Serratia group, the resistance among indicator antibiotics showed a strong positive correlation, with the exception of FOS resistance. In the Proteus-Providencia-Morganella group, the strongest association was noted between CIP and SXT resistance (OP: r = 0.9251, p < 0.001; IP: r = 0.8007; p = 0.005). In the case of OP Acinetobacter spp., CIP showed strong and significant positive correlations with most indicator antibiotics, whereas for IP isolates, strong negative correlations arose among imipenem (IMI) resistance and resistance to other drugs. For Pseudomonas spp., strong and positive correlations were noted among resistance to β-lactam antibiotics and aminoglycosides, with the exception of ceftazidime (CEFT), showing strong, but negative correlations. Though molecular tests and sequencing-based platforms are now considered as the gold-standard for AMR surveillance, standardized collection of phenotypic resistance data and the introduction of Big Data analytic methods may be a viable alternative for molecular surveillance, especially in low-resource settings.
Collapse
|
5
|
Gajdács M, Ábrók M, Lázár A, Burián K. Urinary Tract Infections in Elderly Patients: A 10-Year Study on Their Epidemiology and Antibiotic Resistance Based on the WHO Access, Watch, Reserve (AWaRe) Classification. Antibiotics (Basel) 2021; 10:1098. [PMID: 34572680 PMCID: PMC8467796 DOI: 10.3390/antibiotics10091098] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/02/2021] [Accepted: 09/10/2021] [Indexed: 12/21/2022] Open
Abstract
The ageing of the population-especially in developed countries-has brought on many societal challenges and has significantly contributed to the burden on healthcare infrastructures worldwide. Elderly persons (aged ≥ 65 years) are at higher risk for developing UTIs, due to a range of intrinsic and extrinsic risk factors, and they often delay seeking treatment. A retrospective observational study was performed regarding the epidemiology and resistance of UTIs in elderly patients. Identification of the isolates was carried out using VITEK 2 ID/AST and MALDI-TOF mass spectrometry. Antibiotic resistance in these isolates was assessed based on EUCAST guidelines, and were grouped into the WHO AWaRe (Access, Watch, Reserve) classification of antimicrobials. During the 10-year study period, n = 4214 (421.4 ± 118.7/year) and n = 4952 (495.2 ± 274.6) laboratory-confirmed UTIs were recorded in inpatients and outpatients, respectively. The causative agents showed differentiation among outpatients and inpatients: Escherichia coli (48.14% vs. 25.65%; p = 0.001), Enterococcus spp. (20.15% vs. 21.52%; p > 0.05), Klebsiella spp. (16.28% vs. 16.26%; p > 0.05), Pseudomonas spp. (4.40%vs. 13.36%; p = 0.001); Proteus-Providencia-Morganella group (4.56% vs. 10.96%; p = 0.001); Candida spp. (0.53% vs. 5.98%; p = 0.001); Citrobacter-Enterobacter-Serratia group (1.90% vs. 2.71%; p < 0.05). Significantly higher resistance rates were observed in inpatient isolates for many Access and Watch antibiotics compared to isolates of outpatient origin; in addition, resistance rates were higher in these uropathogens compared to the previously recorded rates in the region. More care should be taken for the diagnosis and treatment of UTIs affecting elderly patients, as they represent a particularly vulnerable patient population.
Collapse
Affiliation(s)
- Márió Gajdács
- Department of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, 6720 Szeged, Hungary
| | - Marianna Ábrók
- Department of Medical Microbiology, Albert Szent-Györgyi Health Center, Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary; (M.Á.); (A.L.); (K.B.)
| | - Andrea Lázár
- Department of Medical Microbiology, Albert Szent-Györgyi Health Center, Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary; (M.Á.); (A.L.); (K.B.)
| | - Katalin Burián
- Department of Medical Microbiology, Albert Szent-Györgyi Health Center, Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary; (M.Á.); (A.L.); (K.B.)
| |
Collapse
|