Introduction

Microbial keratitis can result in severe loss of visual acuity and represents one of the most common causes of corneal blindness [1, 2]. In presumed bacterial infections of the ocular surface, empiric antibiotic treatment is commonly initiated without identification of the causative organism. The bacterial spectrum in ocular surface infections can be extremely diverse [3]. This spectrum can be influenced by several parameters, such as age, sex, use of contact lenses, geographical location, and even the season of the year [4,5,6,7,8]. Widespread use of systemic broad-spectrum antibiotics can lead to a change in the bacterial spectrum and an increase in antibiotic resistance. Knowledge of the current local bacterial spectrum and antibiotic susceptibility is essential for effective treatment in ocular infections. Therefore, the aim of this study was to determine and evaluate the frequencies, trends, and antibiotic resistance of bacteria collected from ocular surface or contact lens material in a German tertiary referral center from 2009 to 2019. Furthermore, we analyzed the correlation of bacteria and drug resistance with the age and sex of the patients.

Material and methods

Before initiation of the study, approval was obtained from the Ethics Committee of the Medical Faculty of Duesseldorf (file number 4797). The study adhered to the tenets of the Helsinki Declaration.

All microbiological cultures taken from the ocular surface or contact lens material at the Department of Ophthalmology of the University of Duesseldorf — a tertiary referral center for corneal disease — between 2009 and 2019 were identified via the database of the Institute of Microbiology, University of Duesseldorf. Intraocular isolates were excluded. As the origin of the swabs (conjunctiva vs. cornea; contact lens vs. contact lens container) could not always be identified with certainty, the respective specimens were grouped as ocular surface (conjunctiva and cornea) and contact lens material (contact lenses, contact lens container, and contact lens solution).

Standard microbiological culture methods and media for bacteria and fungi were used for the culture of specimens. The spectrum of microbes from positive cultures and their sensitivity and resistance to antibiotics were evaluated. Depending on the type of isolated organism, antibiotic susceptibility to oxacillin, gentamicin, levofloxacin, ciprofloxacin, moxifloxacin, cotrimoxazole, erythromycin, clindamycin, vancomycin, and fusidic acid was tested. Antimicrobial susceptibility testing was performed using the semiautomated Vitek 2 system (bioMérieux, Nürtingen, Germany) and, when necessary, with gradient diffusion strip tests (Liofilchem, Abruzzo, Italy). Breakpoints were defined by the current EUCAST table at the time of interpretation. As tissue concentrations of antibiotic eyedrops in the ocular surface are considered to be high, “I” or “susceptibility with increased exposure” was counted as “susceptible,” according to current EUCAST recommendations [9]. The number of concurrent resistances per organism was evaluated for single substances as well as antibiotic classes: beta-lactams (oxacillin), aminoglycosides (gentamicin), fluoroquinolones (levofloxacin, ciprofloxacin, and moxifloxacin), cotrimoxazole, macrolides (erythromycin), lincosamines (clindamycin), glycopeptides (vancomycin), and fusidic acid. The age and sex of the respective patients, as well as the year of sample collection, were evaluated regarding possible correlations with a change in the spectrum and resistances.

Statistical evaluation

Statistical analysis was performed using Prism 9.0.0 (GraphPad, La Jolla, CA, USA). Data are presented descriptively as the mean ± standard deviation. Groups were analyzed with ANOVA or the Mann–Whitney test. The chi-test and Spearman’s R were used to investigate correlations. As a measure of trending, the Cochrane-Armitage test was used. A simple linear regression was used to plot the trend lines. The p values ≤ 0.05 were considered statistically significant.

Results

From 2009 to 2019, a total of 6361 specimens were analyzed. Ninety percent (n = 5724) of the specimens were derived from the ocular surface, and 10% (n = 637) were derived from contact lens material. In total, 1181 specimens (18.6%) had a positive culture result, of which 1079 (91.4%) were bacterial and 102 (8.6%) were fungal isolates. Of the positive bacterial isolates, 63% (n = 680) were derived from ocular surface samples, and 37% (n = 399) were derived from contact lens material.

The annual positive isolation rate ranged from 12.7% (2018) to 28.4% (2010), with a decreasing trend (p = 0.0058). Candida was the main fungus detected (55%), followed by Fusarium (31%) and others (14%). For further analysis, fungal isolates were excluded, and only the 1079 specimens with positive bacterial results were analyzed. The average age of patients with a bacterial isolate was 46 ± 23 years (median (IQR 25%, IQR75%): 44 (27; 65) years). Fifty-two percent of the patients were female (n = 562), and 48% were male (n = 517).

In total, 45.5% (n = 491) of the isolates were gram positive. Most bacteria belonged to the order Enterobacterales (19.4%, n = 209), followed by Coagulase-negative staphylococci (CoNS) in 14.1% (n = 152), Pseudomonas species in 18.1% (n = 196), Staphylococcus aureus in 16.0% (n = 173), streptococci in 4.6% (n = 50), and Haemophilus influenzae in 4.4% (n = 47). The remaining 23.4% (n = 253) were diverse bacterial species. Table 1 shows the distribution of the isolated species. Analyzed by the species subgroups, there were significant differences depending on sex (Enterobacterales, Pseudomonas species, and Staphylococcus aureus) and age (Enterobaterales, Pseudomonas species, streptococci, and Staphylococcus aureus) (see Table 1). Regarding Gram staining, there was no sex-dependent difference, whereas patients with gram-positive isolates were significantly older (52 years ± 24) than patients with gram-negative isolates (41 years ± 20; p < 0.001).

Table 1 Overview of the bacterial spectrum and resistance

Patients with isolates from ocular surface samples were significantly older (53 years ± 24; range 0–99 years) than those with isolates from contact lens material (34 years ± 14; range 14–84 years). Additionally, the spectrum of isolated organisms differed significantly between those two groups. Sixty-five percent (n = 440) of the isolated organisms from the ocular surface were gram positive, while in lens-derived samples, 87% (n = 348) were gram negative. Staphylococcus aureus was almost exclusively isolated from the ocular surface. From contact lens material, Enterobacterales were isolated significantly more often, while Streptococci and Haemophilus influenzae were not found at all (Table 1).

In the evaluation of the separate species, the test for trend for the separate species showed a decrease in Pseudomonas (p = 0.0039) and an increase in Haemophilus influenzae (p = 0.0030) over time. The other species, including overall gram-positive and gram-negative isolates, did not change significantly over time (Fig. 1).

Fig. 1
figure 1

The Cochrane-Armitage trend test revealed a significant decrease in Pseudomonas over time (p = 0.0039) and an increase in Haemophilus influenzae (p = 0.0030)

Of the 1079 bacterial isolates, 245 isolates (22.7%) were resistant to at least one of the tested antibiotics. In each of these isolates, resistance to a mean of 1.97 ± 1.59 antibiotics and 1.71 ± 1.16 different antibiotic classes was found. The maximum number of antibiotics to which a single organism was resistant was 9 single substances and 6 antibiotic classes. There was not a single vancomycin-resistant isolate. The number of multiresistant bacteria (single substances, as well as antibiotic classes) showed a significant increase with patient age (p < 0.0001, single substance: r = 0.14; antibiotic classes: r = 0.12). Neither a sex-dependent difference nor a change over time throughout the observation period was found regarding the number of multiresistant organisms for single substances, as well as antibiotic classes. Interestingly, over time, a significant decrease in resistance was found for oxacillin/methicillin (p = 0.0119), gentamicin (p < 0.0001), and cotrimoxazol (p = 0.0024), while resistance to levofloxacin increased (p = 0.0239) (Fig. 2).

Fig. 2
figure 2

In the analysis of the resistances, the test for trend showed a significant decrease in methicillin resistance (p = 0.0119), gentamicin resistance (p < 0.0001), and cotrimoxazol resistance (p = 0.0024). The levofloxacin resistance increased (p = 0.0239)

In comparison to all other organisms, Staphylococcus aureus showed the highest number of concurrent resistances to single substances as well as antibiotic classes, followed by Pseudomonas (see Table 1). Whereas all Staphylococcus aureus isolates were susceptible to oxacillin, 23% of the CoNS showed resistance to this antibiotic. Only 2.5% (n = 9) of the isolates tested for susceptibility of fluoroquinolones and aminoglycosides were resistant to a combination of levofloxacin and gentamicin, respectively, 3.1% (n = 11) to a combination of moxifloxacin and gentamicin. Around 60% of these isolates were CoNS (6/9, respectively, 6/11). While there were no sex-dependent differences in the resistance profiles, there was a correlation with patient age. On the one hand, patients with isolates resistant to erythromycin (resistant: 47 ± 24 years vs. susceptible: 57 ± 24 years; p = 0.002) and fusidic acid (resistant: 43 ± 26 years vs. susceptible: 55 ± 25 years; p = 0.024) were significantly younger than patients with susceptible isolates. On the other hand, patients with isolates resistant to oxacillin (resistant: 63 ± 26 years vs. susceptible: 46 ± 22 years; p = 0.037) and levofloxacin (resistant: 63 ± 25 years vs. susceptible: 48 ± 24 years; p < 0.001) were significantly older than patients with isolates susceptible to those antibiotics.

Discussion

Isolation rate

Our overall yield of positive cultures of 18.6% is comparable to the study by Silvester et al. In their study, 15.8% of approximately 8200 conjunctival swabs were considered positive [10]. In contrast, most other studies including only material from corneal scrapings show higher rates of positive cultures, ranging from 32.6 to 61.0% [6, 11,12,13,14,15]. This difference could be explained by the higher bacterial load in corneal samples, which are arguably routinely taken only in later stages of a microbial infection when a corneal infiltrate is clinically apparent. Conjunctival swabs are not only taken from a tissue with usually no infiltrate but may in some cases have been performed in the absence of any corneal infiltrate, e.g., due to increased tearing. Additionally, some of our patients with conjunctivitis may have been already treated with a topical antibiotic prior to sampling. In contrast, a specimen for culture is more likely taken before therapy in patients with keratitis. Tan et al. analyzed samples of microbial keratitis and found a decline in positive cultures over the study period, as we did in our study [6]. They speculated that this might be a consequence of increased antibiotic usage before sampling or an increase in the number of unnecessary samples in noninfective cases [6].

Spectrum of pathogens

In spite of difficulties comparing the bacterial spectrum because of the varying inclusion criteria [6, 10,11,12,13,14, 16, 17], geographic variations in the bacterial spectrum in ocular surface-based isolates have been described [5]. The ratio of gram-positive and gram-negative bacteria in our study was similar to geographically and socioeconomically comparable locations, such as Basel (Switzerland), Manchester (UK), New York (USA), and St. Louis (USA) [6, 18,19,20]. In line with our results, Steger et al. in Basel found a significantly higher ratio of gram-negative bacterial isolates in contact lens samples (71%) than in of conjunctival swabs of patients with bacterial keratitis (37%) [16]. This association between gram-negative bacterial infection and wearing contact lenses is well known, and possibly caused by biofilm formation [21,22,23,24].

While we were not able to find any other data regarding an increase in Haemophilus influenzae as in our analysis, in line with our results, Soleimani et al. in Tehran (Iran) reported a significant decrease in Pseudomonas in patients with infectious keratitis in a 6-year period at a referral center in Tehran (Iran) [14]. In contrast, Hsu et al. found a significant increase in Pseudomonas aeruginosa in an analysis over 15 years in St. Louis (USA) [19]. While in our analysis, there was no change over time in the ratio of gram-positive to gram-negative bacteria, there are controversial results reported in other studies [11, 14, 21].

Antibiotic resistance

Our data show an overall resistance against levofloxacin of 8%, ciprofloxacin of 3%, moxifloxacin of 9%, and gentamicin of 7%. These results regarding fluoroquinolones and aminoglycosides, the most frequently used antibiotics, are comparable with those of other studies [12, 21, 25]. But, while Petrillo et al. described gentamicin, ciprofloxacin, and moxifloxacin resistance rates in CoNS of 72.8%, 84.2%, and 84.2%, respectively [26], they were lower in the present study (gentamicin 21%, ciprofloxacin 50%, and moxifloxacin 9%). Asbell et al. found 35% of the S. aureus isolates and 49% of the CoNS isolates to be methicillin resistant [27], and Petrillo et al. reported 23.7% of S. aureus and 61.7% CoNS isolates to be methicillin resistant [26]. We also observed a relatively high rate of methicillin resistance in CoNS (23%), but — at a current local MRSA rate of 5% — did not see any resistance in S. aureus, which is comparable to the results of Lichtinger et al. [21]. While we found a significant decrease in methicillin resistance, the reported results in the literature regarding this last-resort antibiotic are controversial [11, 26,27,28]. Also, our trend toward a low rate of resistance to gentamicin is in contrast to several comparable studies [11, 13, 14, 21, 26].

Special consideration should be taken in the choice of fluoroquinolone, as this study demonstrates a substantial difference in the susceptibility between ciprofloxacin (2nd-generation fluoroquinolone) versus 3rd- (levofloxacin) and 4th-generation (moxifloxacin) fluoroquinolone. In agreement with many other studies, we found an increasing resistance to fluroquinolones [14, 19, 29,30,31,32,33]. This trend can probably be explained by the frequent use of fluroquinolones as first-line therapy in bacterial conjunctivitis and keratitis. A rising resistance over time, especially for 4th-generation fluoroquinolones, as reported by Chang et al., must be acknowledged and observed with caution [33]. New fluoroquinolones, such as besifloxacin, a 4th-generation fluoroquinolone developed specifically for topical ocular indication (FDA approval 2009), might be a valuable alternative but is not yet available in our country [34]. In an Australian study by Watson et al., the resistance to chloramphenicol in combination with ciprofloxacin/ofloxacin was only 1.3% and thus might also be considered as an alternative empirical treatment [35]. Although the risk of chloramphenicol-induced agranulocytosis with less than one per million treatment courses is very low, it might be the reason why it is not regularly used in Germany [36, 37], while it is a widely used therapy in other countries.

Influence of age and gender

In our study, as well as in the comparable literature, females and males were relatively equally distributed in the overall cohort [12, 15, 21, 22, 26,27,28, 38]. However, while we found sex-specific differences for Enterobacterales, Pseudomonas, and Staphylococcus aureus, in the other studies, no such difference was identified [12, 15, 21, 22, 26,27,28, 38].

Several studies report correlations between age and the spectrum of isolates as well as antibiotic resistance, albeit with large variation. We suggest that this may be correlated with the prevalence of contact lens wear in the different age groups, as described by Bograd et al. [20]. Interestingly, we did not find a correlation between young age and Haemophilus spp., as might have been expected according to the literature [27, 39]. In addition, we confirmed the results of other studies that resistance correlates with age, e.g., the higher incidence of methicillin resistance in S. aureus and CoNS in older patients [27]. The need for nursing home and hospital care has been suspected to be a risk factor for this [17].

Limitations

A limiting factor of our and other studies may be the relatively low positivity rate and the limited number of resistances for the studied substances. Also, the intracorneal concentrations of topically and at high frequency applied antibiotics are known to be very high. They are far higher than those achieved by systemic drug administration, on which minimal inhibition concentrations for susceptibility evaluation are based in vitro [5]. Thus, the actual ophthalmological clinical susceptibility rate is likely to be higher than the rate reported in vitro [5, 20].

Conclusions

The reported bacterial spectrum is similar to comparable centers. The most common bacterial pathogen were Enterobacterales, followed by CoNS and Pseudomonas species, which were significantly more often isolated from contact lens material than from the ocular surface. Staphylococcus aureus showed the highest degree of multiple antibiotic resistance, followed by Pseudomonas. Our data show that it should not be assumed that the newest classes of antibiotics always have the best efficacy or lowest resistance levels. In suspected bacterial conjunctivitis, we propose to use gentamicin as first-line therapy. In therapy refractive cases and in involvement of the cornea, we recommend the use of a combination of gentamicin and ofloxacin or moxifloxacin. If there is clinical suspicion for methicillin resistance, additional use of vancomycin is recommended. Overall, the evaluated organisms showed good sensitivity to the regularly used antibiotics.