Abstract
Background
Conjunctival bacterial flora is a common cause of endophthalmitis after ophthalmic procedures. This study investigated the conjunctival bacterial flora, especially coagulase-negative Staphylococcus (CoNS), and their antibiotic sensitivity in patients who underwent ophthalmic procedures. Factors related to fluoroquinolone resistance were also investigated.
Methods
In total, 167 samples were analyzed from 135 patients who underwent cataract surgery or intravitreal injection at Kosin University Gospel Hospital between April 14, 2014, and September 29, 2016. Bacterial identification was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry or VITEK 2 equipment. Antibiotic sensitivity tests were performed using an AST-P600 card with VITEK 2 equipment. Clinical information was extracted from patients’ medical records. Sixty-eight individuals with conjunctival flora containing CoNS were classified into the fluoroquinolone-sensitive and fluoroquinolone-resistant CoNS groups, and their characteristics were compared.
Results
A total of 192 isolates of Gram-positive bacteria were identified, including Staphylococcus epidermidis (33.3%), Corynebacterium spp. (18.8%), and CoNS other than S. epidermidis (9.2%). Of the 106 CoNS isolates, 68.9%, 69.8%, and 58.5% were sensitive to ciprofloxacin, levofloxacin, and norfloxacin, respectively. In patients with CoNS, statin use within 3 months before sample collection was significantly associated with fluoroquinolone resistance (p=0.016). Statin use was a significant risk factor for fluoroquinolone resistance in multivariate logistic regression analysis (odds ratio, 4.86; 95% confidence interval, 1.25–18.91; p=0.022).
Although endophthalmitis is a rare complication of cataract surgery and intravitreal injection, it is important to understand antimicrobial resistance with regard to the causative bacteria of endophthalmitis, as this serious ophthalmic disease can cause vision loss [1,2]. Since many cataract surgeries and intravitreal injections are performed worldwide, the occurrence of endophthalmitis is increasing. Conjunctival bacterial flora comprises 82% of the causative bacteria of endophthalmitis after cataract surgery [3]. Therefore, regular monitoring for changes in conjunctival flora and antimicrobial susceptibility are required to appropriately select antibiotic eye drops that will prevent endophthalmitis and empirical antibacterial agents for its treatment [1,4,5]. However, because this information varies by region and time, a regular regional monitoring system is necessary [4]. Fluoroquinolones were introduced as antibacterial agents in eye drops in 1990. Between 1990 and the early 2000s, fluoroquinolones were the primary antibiotic eye drops used because conjunctival bacteria had low associated resistance. However, resistance to fluoroquinolones is steadily increasing, especially in coagulase-negative Staphylococcus (CoNS) species [2,6,7]. The risk factors for fluoroquinolone-resistant (FR) Staphylococcus present in the conjunctiva include the use of topical antibiotics (including fluoroquinolones) within 3 months, previous hospitalization and ophthalmic procedures [8]. After intravitreal injection, antimicrobial prophylaxis with fluoroquinolone eye drops may increase resistance due to multi-step mutations that can arise during short-term and repeated exposure [2].
Statins are commonly used medications to treat hyperlipidemia. In addition to their cholesterol-lowering effect, statins also have antibacterial effects against Streptococcus pneumoniae and Staphylococcus aureus; therefore, their potential as new antibacterial agents has also been assessed [9]. However, their widespread use for cardiovascular protection has instead created selective pressure for resistance. Ironically, it also has the potential to promote antibiotic resistance [10,11].
The present study investigated the conjunctival microbiota and antimicrobial susceptibility of patients who underwent cataract surgery and intravitreal injection. Our aim was to establish a basis for the selection of prophylactic antibiotics for ophthalmic procedure and empirical antibiotics for the treatment of endophthalmitis. We also sought to identify factors related to antimicrobial resistance, including a history of statin use, which has antibacterial effects.
Ethical statements: This study was approved by the Institutional Review Board of the Kosin University Gospel Hospital (KUGH 2017-11-045-003). This retrospective study utilized data collected as a part of routine clinical care. The Institutional Review Board of the Kosin University Gospel Hospital determined that the study met IRB exemption criteria based on the retrospective nature of the study and participant consent was therefore not required.
This retrospective study included patients who underwent cataract extraction, posterior intraocular lens implantation, or intravitreal injection at the Department of Ophthalmology at Kosin University Gospel Hospital between April 14, 2014, and September 29, 2016. Among 135 such patients who also underwent conjunctival colonization culture, 167 specimens were collected. We also included samples of one case in which a patient underwent another ophthalmic procedure during the study period. So if the procedure was repeated, samples were collected from a minimum of 1 to a maximum of 3 times. Among them, samples were collected only once in 105 patients (105 specimens), twice in 28 patients (56 specimens), and three times in two patients (6 specimens). Based on the medical records, the following clinical parameters were collected: age at the time of sample collection, sex, type of ophthalmic disease for which the procedure was performed (cataract, diabetic retinopathy, macular dystrophy or macular degeneration, retinal vascular occlusion, glaucoma), procedure type (phacoemulsification with posterior chamber lens implantation, intravitreal injection, pars plana vitrectomy, laser photocoagulation), diabetes, hypertension, chronic viral hepatitis (including hepatitis B and C), alcohol consumption, and smoking history. The patients’ histories of ophthalmologic procedures and hospitalization within 3 months before sample collection were also evaluated. The following measurements were performed: fasting blood glucose, glycosylated hemoglobin, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein (LDL) cholesterol, and triglyceride levels.
Specimens were collected from the lower conjunctival sac by scraping the lower eyelid laterally with a polyester-tipped swab (23-400-122, Fisherbrand) after inversion of the lower eyelid before applying the eye drop anesthetic. No prophylactic antibacterial eye drops were administered before surgery. Immediately after inoculation on 5% blood agar, the specimens were cultured at 37 °C in an incubator (Water-Jacketed CO2 Incubator, Forma Scientific, Inc.) for up to 7 days. The bacterial colonies were plated on fresh 5% blood agar or MacConkey medium to obtain pure colonies, and the strains were classified according to the colony shape. Subsequently, 1 mL of a mixture of 60% glycerol and Brucella broth in a 3:7 ratio was dissolved for 1–2 weeks and stored in a –70 °C ultra-low temperature freezer.
A total of 167 frozen samples collected from 135 patients were thawed and re-inoculated on 5% blood agar or MacConkey medium using a 10-μL loop (SPL Life Sciences). A total of 261 strains were identified by subculturing. The bacteria were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS, Bruker Daltonics GmbH) or VITEK 2 system (bioMerieux, Marcy l'Etoile). Bacterial identification and susceptibility tests were performed using ID (GP or GN) cards and AST-P600) cards on VITEK-2 equipment, respectively. The minimum inhibitory concentration (MIC, μg/mL) was reported according to Clinical and Laboratory Standards Institute (CLSI) standards [12].
The CoNS strains isolated from the conjunctival flora of 68 patients were classified according to fluoroquinolone resistance. Strains that were moderately resistant or resistant to ciprofloxacin, levofloxacin, and/or norfloxacin were categorized as FR CoNS. In contrast, strains that were sensitive to all three fluoroquinolones were categorized as non-FR CoNS. If more than one FR CoNS were identified from one patient, the groups were classified based on CoNS with a high degree of resistance. In addition to the clinical information surveyed on all 68 subjects, the history of statin use within 3 months before sample collection was also investigated.
For comparisons between two groups, the chi-square or Fisher exact tests were used for categorical variables, while Mann-Whitney U-tests were performed for numerical variables. Statistical significance was set at p<0.05. Variables that were significant in univariate analysis were reanalyzed in multivariate analysis using the “enter” method to check the influence between variables. The KoreaPlus statistical program (Embedded in SPSS 26.0 Statistics) for Windows (Datasolution Inc.) was used to perform these analyses.
Among the study participants, 15 (11.1%) had a history of chronic viral hepatitis including hepatitis B and C. Fifteen patients (11.1%) had undergone ophthalmic procedures within 3 months before sample collection (0–7 procedures) and 35 (25.9%) had been hospitalized for any reason (duration, 1–23 days) (Table 1).
Among a total of 167 samples collected from 135 patients, 261 bacterial strains were isolated. There were 192 (73.6%) Gram-positive bacteria and 69 (26.4%) Gram-negative bacteria (Table 2). Antimicrobial susceptibility was tested for 123 of the 192 Gram-positive strains (84 strains of Staphylococcus epidermidis, 22 strains of CoNS excluding S. epidermidis, 11 strains of S. aureus, and 6 strains of Enterococcus spp.). Among them, 12.2% (15/123) were sensitive to penicillin, while 70.7% (87/123), 71.5% (88/123), and 61.0% (75/123) of strains were susceptible to ciprofloxacin, levofloxacin, and norfloxacin, respectively. CoNS strains (106 strains) were 68.9% (73/106), 69.8% (74/106), and 58.5% (62/106) susceptible to ciprofloxacin, levofloxacin, and norfloxacin, respectively (Table 3). In 22 patients, two or more strains of the same CoNS species were identified in samples from the same round of sample collection. Among them, 21 had S. epidermidis; the other had Staphylococcus haemolyticus. Twelve cases showed different antimicrobial susceptibilities among these bacteria, with 54.5% (12/22) of the same type of CoNS showing different susceptibilities.
Of the 68 patients from which CoNS were isolated, 31 and 37 were in the non-FR CoNS and FR CoNS groups, respectively. The bacteria identified in the 31 non-FR CoNS patients were S. epidermidis (27 patients), Staphylococcus lentus (2 patients), S. haemolyticus (1 patient), and Staphylococcus capitis (1 patient), while the 37 FR CoNS patients included S. epidermidis (29 patients), S. haemolyticus (4 patients), Staphylococcus hominis (3 patients), and S. capitis (1 patient). Hospitalization before sample collection was slightly higher in the FR CoNS group, but the difference was not statistically significant (p=0.077).
The FR CoNS group was significantly associated with history of statin use within 3 months before sample collection (p=0.016), total cholesterol over than 200 mg/dL (p=0.006), and LDL cholesterol over than 130 mg/dL (p=0.002). The FR CoNS group was significantly associated with a history of viral hepatitis (p=0.006) (Table 4).
When only statin intake history and total cholesterol >200 mg/dL were included for the multivariate analysis two variables were related to fluoroquinolone resistance; a history of statin intake significantly increased the risk of fluoroquinolone resistance (odds ratio [OR], 4.86; 95% confidence interval [CI], 1.25–18.91; p=0.022) (Table 5).
Although prophylactic antibiotic use before and after cataract surgery and intravitreal injection can prevent endophthalmitis, prophylactic ocular antimicrobial administration has increased fluoroquinolone resistance [8]. Some experts argue that these prophylactic eye drops are necessary and that information on the type of conjunctival flora and their antimicrobial susceptibility reported in the community can help to select the appropriate antibacterial agents [4,13]. The present study was designed to provide this information. In this study, 107 (82.9%) conjunctival swab culture samples from 135 patients were culture positive. The previously reported positivity rates for conjunctival bacteria through traditional culture techniques range from 75%–82% or 14%–86% [1,14,15].
Worldwide, the most common bacterium in the conjunctiva is CoNS, primarily S. epidermidis, while S. aureus, Corynebacterium spp., Pseudomonas aeruginosa, and Haemophilus influenzae are also common [7,16-22]. Among the conjunctival flora, the reported proportions of CoNS, S. epidermidis, S. aureus, Corynebacterium spp., and other Gram-positive and Gram-negative bacteria were 33%–77%, 35%–76%, 4%–23%, 0%–45%, 3%–16%, and 6%–20%, respectively; these findings are comparable to the results of the present study, with proportions of 43%, 33%, 4%, 19%, 8%, and 26%, respectively [16,18,23,24].
In a study conducted in Korea in 2000, only 82.5% of the CoNS showed sensitivity to ciprofloxacin before cataract surgery. A 2006 study reported that only 69.2% of CoNS showed ciprofloxacin sensitivity, while 78.7% showed levofloxacin sensitivity among conjunctival flora before cataract surgery [7,25]. The Antibiotic Resistance Monitoring in Ocular Microorganisms (ARMOR) study reported CoNS sensitivities to levofloxacin of 86.1% and 43.2% in methicillin-sensitive (MS) and methicillin-resistant (MR) strains, respectively [26,27]. The present study did not separately confirm methicillin sensitivity. The sensitivities of CoNS to ciprofloxacin and levofloxacin were 68.9% and 69.8%, respectively. These sensitivities were higher than that of MR CoNS and lower than that of MS CoNS reported previously. Among staphylococcal isolates, the sensitivity of fluoroquinolone in the ocular flora before cataract surgery in Taiwan was 75%–82.5%, which is slightly lower than that reported previously [4]. In this study, 54.5% (12/22) of 22 patients with two or more identical species of CoNS among the samples from the same round were colonized with the same species of CoNS, but with different antimicrobial susceptibilities. More than 40% of cases of the same species of CoNS showed different susceptibilities to antibacterial agents in a previous study of conjunctival flora before cataract surgery [28].
Fluoroquinolones are broad-spectrum bactericidal antibacterial agents used to treat Gram-positive, Gram-negative, and anaerobic bacteria. They are mainly used as prophylactic antibacterial agents before and after ophthalmic surgery. However, among the bacteria that cause eye infections, resistance to fluoroquinolones is on the rise [28].
The results of this study showed that significantly more patients in the FR CoNS group had a history of statin use within 3 months before sample collection (p=0.016), as well as normal total cholesterol and LDL cholesterol levels (p=0.006, p=0.002).
Statins are 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors and are antihyperlipidemic agents widely prescribed worldwide to lower cholesterol. Statins are also known to have antibacterial effects against pneumococci and S. aureus, and simvastatin and atorvastatin are the drugs with the most potential as antibiotics. Statins have been thought to block antibiotic resistance by exerting a synergistic effect with existing antibiotics, attenuating virulence factors, strengthening human immunity, or assisting wound healing. However, their widespread use for cardiovascular protection has instead created selective pressure for resistance. Ironically, it also has the potential to promote antibiotic resistance. Current evidence better supports blocking potential antimicrobial resistance, but a role in promoting antibiotic resistance cannot be ruled out. At low antibiotic concentrations (up to several hundred times the MIC), the growth rate of susceptible bacteria is slightly reduced, allowing the growth of multiple new resistant mutant strains and the proliferation of antibiotic-resistant bacteria. Because the maximum plasma concentration that can be achieved at the dose of statins used to treat hyperlipidemia is hundreds to thousands of times lower than the MIC, statins are unlikely to exert significant systemic antibacterial effects. However, a greater concern is that patients with bacteremia may be exposed to low systemic antimicrobial concentrations, which may result in selective pressure for resistance. When bacteria are exposed to antibacterial drugs for a long period of time, the death of susceptible bacteria can be accelerated and resistant bacteria can become dominant. Elucidating the mechanism of antibacterial activity of statins may perhaps clarify their role in antibiotic resistance [10,11]. In addition, statin use may explain the higher proportions of patients with normal total and LDL cholesterol levels in the FR CoNS group than in the non-FR CoNS group. However, due to the small number of participants, the present study could not confirm the relationship between the growth of CoNS resistance to fluoroquinolones and statin use.
Factors known to contribute to the acquisition of fluoroquinolone resistance in S. aureus and CoNS include recent ophthalmic surgery before cataract surgery, recent hospitalization, use of fluoroquinolone eye drops within 3 months, treatment history of intravitreal injection, use of systemic antibacterial agents, use of eye drops containing preservatives, use of fluoroquinolone eye drops for 3 months to 1 year, and use of other antibacterial eye drops within 1 year [8]. However, the present study did not identify these factors as related to the acquisition of fluoroquinolone resistance, which was likely due not only to the small number of study subjects but also to the limitations of a retrospective study based only on medical records from a single institution.
This study has several limitations. Compared to previous studies, statistical significance could not be confirmed for some factors owing to the small number of study subjects. Because this study used a traditional culture method without polymerase chain reaction and genome sequencing, the sensitivity to accurately identify the actual flora was low [29,30]. However, using polymerase chain reaction and genome sequencing, it is difficult to determine whether a bacterium is related to a clinical ophthalmic disease, despite the superior sensitivity of these methods compared to traditional culture methods [22]. In addition, the antimicrobial susceptibility information based on the CLSI criteria used in this study may differ from drug concentrations that can be reached after the administration of ocular antimicrobial agents in local ocular structures, as these are determined based on expected drug concentrations achieved in the serum, plasma, and cerebrospinal fluid [2]. Therefore, it may be difficult to directly apply this sensitivity information to the conjunctival flora of the eye tissue [4,28,31]. Antimicrobial resistance to fluoroquinolones has gradually increased since the 1990s. Although resistance to old-generation fluoroquinolones (ciprofloxacin, ofloxacin, and levofloxacin) exceeds that of new-generation fluoroquinolones (gatifloxacin and moxifloxacin), the resistance to newer fluoroquinolones is also increasing [2]. However, among the antibacterial eye drops mainly used in clinical practice, this study did not test sensitivity to 4th-generation fluoroquinolones (gatifloxacin and moxifloxacin).
In conclusion, CoNS, including S. epidermidis, accounted for 42.5% of the conjunctival flora of patients undergoing cataract surgery and intravitreal injection, with sensitivity to quinolone antibacterial agents ranging from 58.5% to 69.8%. A history of statin use was a significant risk factor for the development of resistance to fluoroquinolones. Additional large-scale studies are necessary to confirm the relationship between statins and fluoroquinolone resistance.
Notes
Acknowledgments
The authors are grateful to Bohyun Jeong (Department of Clinical Laboratory Science, Dong-Eui University) for storing and managing the specimens, Junja Park (Department of Laboratory Medicine, Kosin University Gospel Hospital) for performing the bacterial identification and susceptibility test, and Professor Eunsoo Moon (Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine) for reviewing the data and providing statistical advice to obtain the results.
References
1. Grzybowski A, Brona P, Kim SJ. Microbial flora and resistance in ophthalmology: a review. Graefes Arch Clin Exp Ophthalmol. 2017; 255:851–62.
2. McDonald M, Blondeau JM. Emerging antibiotic resistance in ocular infections and the role of fluoroquinolones. J Cataract Refract Surg. 2010; 36:1588–98.
3. Speaker MG, Milch FA, Shah MK, Eisner W, Kreiswirth BN. Role of external bacterial flora in the pathogenesis of acute postoperative endophthalmitis. Ophthalmology. 1991; 98:639–50.
4. Lin YH, Kang YC, Hou CH, Huang YC, Chen CJ, Shu JC, et al. Antibiotic susceptibility profiles of ocular and nasal flora in patients undergoing cataract surgery in Taiwan: an observational and cross-sectional study. BMJ Open. 2017; 7:e017352.
5. Gentile RC, Shukla S, Shah M, Ritterband DC, Engelbert M, Davis A, et al. Microbiological spectrum and antibiotic sensitivity in endophthalmitis: a 25-year review. Ophthalmology. 2014; 121:1634–42.
6. Mino de Kaspar H, Koss MJ, He L, Blumenkranz MS, Ta CN. Antibiotic susceptibility of preoperative normal conjunctival bacteria. Am J Ophthalmol. 2005; 139:730–3.
7. Park SH, Lim JA, Choi JS, Kim KA, Joo CK. The resistance patterns of normal ocular bacterial flora to 4 fluoroquinolone antibiotics. Cornea. 2009; 28:68–72.
8. Lee J, Choi S. Risk factors for fluoroquinolone resistance in ocular cultures. Korean J Ophthalmol. 2015; 29:7–13.
9. Graziano TS, Cuzzullin MC, Franco GC, Schwartz-Filho HO, de Andrade ED, Groppo FC, et al. Statins and antimicrobial effects: simvastatin as a potential drug against Staphylococcus aureus biofilm. PLoS One. 2015; 10:e0128098.
10. Ko HH, Lareu RR, Dix BR, Hughes JD. Statins: antimicrobial resistance breakers or makers? PeerJ. 2017; 5:e3952.
11. Abavisani M, Hoseinzadeh M, Khayami R, Kodori M, Soleimanpour S, Sahebkar A. Statins, allies against antibiotic resistance? Curr Med Chem 2023 Aug 29 [Epub]. https://doi.org/10.2174/0929867331666230829141301.
12. Wayne PA. Clinical and laboratory standards institute: performance standards for antimicrobial susceptibility testing. Inform Suppl. 2011; 31:100–121.
13. Miller D. Update on the epidemiology and antibiotic resistance of ocular infections. Middle East Afr J Ophthalmol. 2017; 24:30–42.
14. de Kaspar HM, Kreidl KO, Singh K, Ta CN. Comparison of preoperative conjunctival bacterial flora in patients undergoing glaucoma or cataract surgery. J Glaucoma. 2004; 13:507–9.
15. Semanyenzi SE, Abahuje E. Normal conjunctival flora as seen in adult patients at Kigali University Teaching Hospital. Rwanda Med J. 2013; 70:22–4.
16. Olson R, Donnenfeld E, Bucci FA, Price FW, Raizman M, Solomon K, et al. Methicillin resistance of Staphylococcus species among health care and nonhealth care workers undergoing cataract surgery. Clin Ophthalmol. 2010; 4:1505–14.
17. Mshangila B, Paddy M, Kajumbula H, Ateenyi-Agaba C, Kahwa B, Seni J. External ocular surface bacterial isolates and their antimicrobial susceptibility patterns among pre-operative cataract patients at Mulago National Hospital in Kampala, Uganda. BMC Ophthalmol. 2013; 13:71.
18. Capriotti JA, Pelletier JS, Shah M, Caivano DM, Ritterband DC. Normal ocular flora in healthy eyes from a rural population in Sierra Leone. Int Ophthalmol. 2009; 29:81–4.
19. Gunduz G, Gunduz A, Polat N, Cumurcu BE, Yakupogullari Y. The effect of chronic alcoholism on the conjunctival flora. Curr Eye Res. 2016; 41:734–9.
20. Suto C, Morinaga M, Yagi T, Tsuji C, Toshida H. Conjunctival sac bacterial flora isolated prior to cataract surgery. Infect Drug Resist. 2012; 5:37–41.
21. Ta CN, Chang RT, Singh K, Egbert PR, Shriver EM, Blumenkranz MS, et al. Antibiotic resistance patterns of ocular bacterial flora: a prospective study of patients undergoing anterior segment surgery. Ophthalmology. 2003; 110:1946–51.
22. Graham JE, Moore JE, Jiru X, Moore JE, Goodall EA, Dooley JS, et al. Ocular pathogen or commensal: a PCR-based study of surface bacterial flora in normal and dry eyes. Invest Ophthalmol Vis Sci. 2007; 48:5616–23.
23. Papa V, Blanco AR, Santocono M. Ocular flora and their antibiotic susceptibility in patients having cataract surgery in Italy. J Cataract Refract Surg. 2016; 42:1312–7.
24. Hoshi S, Hashida M, Urabe K. Risk factors for aerobic bacterial conjunctival flora in preoperative cataract patients. Eye (Lond). 2016; 30:1439–46.
25. Park HJ, Yi GY, Moon NJ. Bacteriologic study on normal conjunctival flora and change of antibiotic susceptability. J Korean Ophthalmol Soc. 2001; 42:817–24.
26. Haas W, Pillar CM, Torres M, Morris TW, Sahm DF. Monitoring antibiotic resistance in ocular microorganisms: results from the Antibiotic Resistance Monitoring in Ocular Microrganisms (ARMOR) 2009 surveillance study. Am J Ophthalmol. 2011; 152:567–74.
27. Asbell PA, Sanfilippo CM, Pillar CM, DeCory HH, Sahm DF, Morris TW. Antibiotic resistance among ocular pathogens in the United States: five-year results from the Antibiotic Resistance Monitoring in Ocular Microorganisms (ARMOR) surveillance study. JAMA Ophthalmol. 2015; 133:1445–54.
28. Hsu HY, Lind JT, Tseng L, Miller D. Ocular flora and their antibiotic resistance patterns in the midwest: a prospective study of patients undergoing cataract surgery. Am J Ophthalmol. 2013; 155:36–44.
29. Lu LJ, Liu J. Human microbiota and ophthalmic disease. Yale J Biol Med. 2016; 89:325–30.
30. Dong Q, Brulc JM, Iovieno A, Bates B, Garoutte A, Miller D, et al. Diversity of bacteria at healthy human conjunctiva. Invest Ophthalmol Vis Sci. 2011; 52:5408–13.
31. Sharma S. Antibiotic resistance in ocular bacterial pathogens. Indian J Med Microbiol. 2011; 29:218–22.