Introduction
Despite global efforts to combat antimicrobial resistance (AMR), gram-negative bacteria continue to develop resistance at an alarming rate. Reference Vasesi, Gupta and Gupta1 In South Africa, the burden of AMR is substantial, with AMR-related deaths amounting to 17%, double the rates observed in higher-income countries. Reference Finlayson, Chibabhai and Jeena2
Colistin, a polymyxin antibiotic, first introduced in 1959, was once shelved due to its nephrotoxicity and neurotoxicity. Reference Santimaleeworagun, Thunyaharn and Juntanawiwat3,Reference Majavie, Johnston and Messina4 However, with the rise of multidrug-resistant (MDR) infections, particularly those resistant to carbapenems (a long standing, crucial last-line class of antibiotics), colistin has re-emerged as a critical treatment option. Reference Labuschagne, Schellack and Gous5 In South Africa, colistin is often used as salvage therapy for life-threatening infections, especially against MDR/ extensively drug-resistant (XDR) gram-negative infections. Reference Majavie, Johnston and Messina4,Reference Labuschagne, Schellack and Gous5 Colistin displays activity against MDR/XDR Acinetobacter species, Pseudomonas species as well as the species in the Enterobacterales order. Reference Majavie, Johnston and Messina4
However, there are reports of colistin-resistant infections surfacing both globally and in South Africa. Reference Majavie, Johnston and Messina4 Colistin resistance is often associated with increased morbidity, mortality, extended hospital stays and high healthcare costs. Reference Syed, Ishaque and Imran6 Since colistin resistance typically suggests pan-drug resistance, particularly in low-income settings, it is considered to be a life-threatening issue. Investigating its epidemiological characteristics and the factors driving its emergence is essential to effectively manage the challenge. Reference Syed, Ishaque and Imran6 There are limited reports of colistin resistance in South Africa, largely due to inadequate surveillance rather than a low prevalence. Reference Majavie, Johnston and Messina4 This study aimed to explore the epidemiological characteristics of colistin resistance in A. baumannii and K. pneumoniae infections at a tertiary-level hospital to identify trends and understand the extent of resistance in the hospital setting.
Methods
Study design and setting
A retrospective cross-sectional analysis was conducted at a tertiary-level hospital in Johannesburg, South Africa. Epidemiological data for all colistin-resistant A. baumannii and K. pneumoniae isolates from 1 January 2022 to 30 June 2024 were analyzed. For each isolate, patient demographic and isolate information such as age, sex, ward, specimen type, organism identification (ID), antibiotic susceptibility profile and colistin broth microdilution (BMD) results were obtained from the Corporate Data Warehouse of the National Health Laboratory Services (NHLS).
Data processing and statistical analysis
Prior to analysis, duplicate entries were identified and removed using Microsoft Excel v2502 (Microsoft Corporation, USA). If duplicates represented the same organism, the earliest sterile site specimen information was used. In cases where both A. baumannii and K. pneumoniae were recorded under the same identifier, the first sterile site specimen for each species was retained.
Cleaned epidemiological data were then binary coded and imported into Stata v18 (StataCorp LLC, College Station, TX, USA). Sex, age group, ward category and sample type were treated as categorical variables. Associations between ward category and colistin resistance were evaluated using the χ2 test, with statistical significance defined as a two-tailed pvalue < 0.05.
Ward classification
To facilitate comparison, clinical wards were grouped into broader categories (Supplementary Table 1). The following were the categories: adult medical, neonatal units, pediatric medical, pediatric surgical, trauma, adult medical multidisciplinary intensive care units (ICUs), adult oncology, general surgery, other surgical specialities and gynaecology.
Resistance categorization
The on-site 24-hour NHLS Microbiology Laboratory routinely assessed susceptibility to 5 antibiotic classes: β-lactams (including aminopenicillins, cephalosporins, carbapenems, β-lactam/β-lactamase inhibitor combinations), aminoglycosides, antifolates, fluoroquinolones, and tetracyclines (Supplementary Table 2). All specimens were processed using standard microbiological protocols. Species identification was performed using either the Vitek®2 system or the Vitek MS matrix-assisted laser desorption/ionization time-of-flight mass spectrometry platform (MALDI-TOF MS) (bioMérieux Inc., Marcy l’Étoile, France). Antimicrobial susceptibility testing was conducted using the Vitek®2 AST N255 panel (bioMérieux Inc.).
Isolates were classified according to internationally accepted definitions of MDR and XDR. Multidrug resistance was defined as “non-susceptibility to at least one agent in three or more antimicrobial categories” and XDR was defined as “non-susceptibility to at least one agent in all but two or fewer antimicrobial categories (ie, bacterial isolates remain susceptible to only one or two categories)”. Reference Magiorakos, Srinivasan and Carey7 Isolates meeting the criteria for MDR or XDR were referred to the NHLS Infection Control Services Laboratory for colistin susceptibility testing by the BMD method. During the study period, 2 900 A. baumannii and K. pneumoniae isolates were processed, of which 830 underwent colistin BMD testing. Minimum inhibitory concentration (MIC) values were interpreted according to the Clinical and Laboratory Standards Institute (CLSI) guidelines (M100, v32 to v34; 2022–2024), 8 with MIC ≤ 2 µg/mL classified as intermediately susceptible and MIC ≥ 4 µg/mL as resistant. No susceptible breakpoints exist for colistin for either species according to the CLSI standards.
Results
Demographic and clinical data
A total of 186 colistin-resistant isolates were analyzed, of which 69 were A. baumannii and 117 K. pneumoniae isolates. Most isolates were obtained from male patients (60%; 111/186) (Table 1). Isolates from adults (≥19 years old) accounted for 87% (162/186) of the isolates, with infants and pediatric patients each contributing <10% (7%; 13/186 and 6%; 11/186). Blood cultures were the predominant specimen type (44%; 82/186), followed by fluid aspirates (31%; 57/186), respiratory tract specimens (11%; 21/186) and urine (9%;17/186); remaining isolates were from swabs and cerebrospinal fluid.
Demographic, clinical and microbiological characteristics of colistin-resistant

Table 1. Long description
The table presents data on colistin-resistant Acinetobacter baumannii and Klebsiella pneumoniae isolates, focusing on gender, age, wards, specimen type, colistin MIC, and resistance profile. It has 3 columns and 20 rows. Column headers are Characteristics, Colistin-resistant Acinetobacter baumannii (n=69), Colistin-resistant Klebsiella pneumoniae (n=117), and Total colistin-resistant isolates (n=186). Row labels include Gender, Age, Wards, Specimen type, Colistin MIC (ug/ml), and Resistance profile. Row 1: Gender, Female, 25, 50, 75. Row 2: Gender, Male, 44, 67, 111. Row 3: Age, Infants (<1 year), 5, 8, 13. Row 4: Age, Pediatrics (1–18 years old), 6, 5, 11. Row 5: Age, Adults (≥ 19 years old), 58, 104, 162. Row 6: Wards, Adult Medical, 2, 12, 14. Row 7: Wards, Adult Multidisciplinary ICUs, 33, 51, 84. Row 8: Wards, Adult oncology, 4, 6, 10. Row 9: Wards, General surgery, 5, 13, 18. Row 10: Wards, Gynecology, 1, 2, 3. Row 11: Wards, Neonatal unit, 6, 3, 9. Row 12: Wards, Pediatric medical, 0, 3, 3. Row 13: Wards, Pediatric surgery, 2, 5, 7. Row 14: Wards, Trauma unit, 11, 12, 23. Row 15: Wards, Other surgical, 5, 10, 15. Row 16: Specimen type, Blood culture, 26, 56, 82. Row 17: Specimen type, CSF, 0, 2, 2. Row 18: Specimen type, Respiratory tract, 10, 11, 21. Row 19: Specimen type, Fluid aspirate, 25, 32, 57. Row 20: Specimen type, Swab, 3, 4, 7. Row 21: Specimen type, Urine, 5, 12, 17. Row 22: Colistin MIC (ug/ml), 4, 13, 15, 28. Row 23: Colistin MIC (ug/ml), 8, 7, 12, 19. Row 24: Colistin MIC (ug/ml), 16, 2, 13, 15. Row 25: Colistin MIC (ug/ml), 32, 4, 19, 23. Row 26: Colistin MIC (ug/ml), 64, 9, 16, 25. Row 27: Colistin MIC (ug/ml), >64, 34, 42, 76. Row 28: Resistance profile, MDR, 22, 33, 55. Row 29: Resistance profile, XDR, 46, 70, 116. Row 30: Resistance profile, Non-MDR, 1, 14, 15.
– = no result
Distribution of colistin-resistant isolates among wards
Adult multidisciplinary ICUs contributed the largest proportion of isolates (45%, 84/186), followed by the trauma unit (12%, 23/186) and general surgical wards (10%, 18/186). Isolates distribution differed significantly between adult multidisciplinary ICU and adult medical and surgical wards combined (p = 0.017).
Resistance characteristics
The MIC values ranged from 4 µg/mL to > 64 µg/mL for both species, with K. pneumoniae showing a broader spread across lower MIC tiers than A. baumannii. High-level resistance (MIC > 64 µg/mL) was observed in 41% (76/186) of isolates overall, more frequently in A. baumannii (49%; 34/69) than K. pneumoniae (36%; 42/117)).
Among the 186 colistin-resistant isolates, 30% (55/186) were MDR, 62% (116/186) were XDR and eight percent (15/186) were non-MDR (Table 1). Multidrug resistance was similar between species (32% A. baumannii vs 28% K. pneumoniae), while XDR rates were high in both (67% A. baumannii versus 60% K. pneumoniae). The adult multidisciplinary ICU accounted for 46% (79/171) of all MDR and XDR cases, reinforcing the need for targeted antimicrobial stewardship (AMS) programs.
Discussion
This study highlights a concerning burden of colistin resistance in A. baumannii and K. pneumoniae isolates from a South African tertiary-level hospital. The high proportion in K. pneumoniae may be attributed to its role/niche as commensal gut flora, with resulting exposures to antibiotics resulting in selection of resistant subpopulations and also opportunities for horizontal gene transfer. This reservoir of K. pneumoniae in the gut renders it an opportunistic pathogen in immunocompromised patients.
Bloodstream infections (BSIs) accounted for 44% of resistant isolates, lower than the 65% previously reported in a South African study. Reference Majavie, Johnston and Messina4 It nevertheless underscores the mortality risk associated with carbapenem- and/or colistin-resistant BSIs. Reference Majavie, Johnston and Messina4
Adult multidisciplinary ICUs contributed the largest share of isolates (45%), followed by the trauma unit (12%). Critically ill patients often receive broad-spectrum antibiotics, have prolonged admissions, invasive devices and multiple comorbidities. Key risk factors for colistin resistance are ICU admission, extended hospitalization prior to infection and mechanical ventilation >48 hours. Reference Vasesi, Gupta and Gupta1,Reference Matthaiou, Michalopoulos and Rafailidis9 Other factors that appear to increase this risk include carbapenem resistance leading to treatment with colistin, prior treatment with colistin, the presence of indwelling urinary catheters, previous use of anti-MRSA agents, and the use of steroids or other immunosuppressive therapies. Reference Vasesi, Gupta and Gupta1,Reference Sheng, Liao and Lauderdale10
The predominance of XDR isolates (62%) has major therapeutic implications, as newer agents such as ceftazidime- avibactam and avibactam-aztreonam for carbapenemase-producing K. pneumoniae or sulbactam-durlobactam for XDR A. baumannii remain limited in low- and middle- income countries, leaving clinicians reliant on inappropriate empiric therapy.
Colistin-resistant A. baumannii is recognized as a notifiable medical condition in South Africa and is included in the Notifiable Medical Conditions Disease List (2017), highlighting its public health importance and the need for surveillance and reporting. 11 Strengthened AMS, infection prevention and control and structured genomic surveillance are essential to guide therapy and contain high-risk clones. These efforts are complicated by recent healthcare budget constraints (a 4.9% cut in 2023/24), which strain infection control resources and staffing amid rising carbapenem-resistant Enterobacterales (CRE) and A baumannii cases in South African hospitals. Reference Nash, Ross and Naidoo12,Reference Tootla, Prentice and Moodley13 This means fewer treatment options and an increased risk of adverse outcomes.
Limitations of this study include: (1) the small sample size; (2) it was a single-center study therefore the data generated and reported here does not necessarily represent the overall epidemiology of colistin-resistant A. baumannii and K. pneumoniae in South Africa and (3) the lack of clinical data for full epidemiological analysis.
Ongoing and prospective antimicrobial susceptibility surveillance is essential to ensure monitoring of resistance patterns and to guide antibiotic policy and guidelines to preserve the effectiveness of antibiotics and to provide appropriate and timeous patient management. This will help curb the spread of these organisms. Reference Pezzani, Mazzaferri and Compri14
In addition, increasing access to newer antibiotic options could potentially reduce the selection pressure for the development of colistin resistance. More government advocacy to make these agents affordable in our setting is essential.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/ash.2026.10889.
Acknowledgements
The authors would like to thank the Corporate Data Warehouse of the NHLS for the data provided for analysis.
Financial support
This work was supported by the research grant from NHLS Research Trust (GRANT004 94923). The funders of the study had no role in the study design, data collection, data analysis, interpretation or writing of the article.
Competing interests
The authors declare that there are no conflicts of interest.

