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Microbiology and management of Staphylococcus aureus lacrimal system infections: A 10-year retrospective study

  • Niloufar Bineshfar,

    Roles Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

    Affiliation Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States of America

  • Kevin D. Clauss,

    Roles Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States of America

  • Wendy W. Lee,

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliation Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States of America

  • Darlene Miller

    Roles Conceptualization, Funding acquisition, Resources, Supervision, Validation, Writing – review & editing

    dmiller@med.miami.edu

    Affiliations Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, United States of America, Ocular Microbiology Laboratory, Bascom Palmer Eye Institute, Anne Bates Leach Eye Center, University of Miami Miller School of Medicine, McKnight Research Pavilions, Miami, FL, United States of America

Abstract

Purpose

To assess the in vitro efficacy of common antimicrobial agents used empirically for methicillin- resistant and sensitive Staphylococcus aureus (MRSA and MSSA) infections of the lacrimal system.

Methods

A retrospective review of culture-proven S. aureus isolates retrieved from lacrimal system samples collected between January 2013–December 2022 was performed. Microbiologic characteristics such as in vitro susceptibility as well as clinical characteristics including history of recent ocular surgery, presence of lacrimal biomaterial implant, anti-microbial regimen, and treatments outcome were collected.

Results

One hundred and sixteen S. aureus isolates (patients = 116) were identified. Thirty-one (27.4%) and 22 (19.5%) patients had recent ocular procedure and lacrimal intubation, respectively. Fifty (44.2%) patients received a combination of oral and topical antibiotics as first line of treatment. The most common empirically utilized antibiotics were β-lactams (38.9%) and polymyxin B/ trimethoprim (31.0%). The antibiotic regimen was changed at least once in 20.5% of patients due to ineffectiveness. Of the patients with positive cultures from the lacrimal excretory apparatus, 37.3% underwent surgery as part of the treatment approach. Of all isolates identified 44.8% were MRSA. Among the fluoroquinolones, the resistance rate was 38.8% for ciprofloxacin and 30.4% for moxifloxacin, with significantly higher resistance rates in MRSA (P-value <0.0001). The resistance rates for trimethoprim/sulfamethoxazole (TMP/SXT) and gentamicin were 8.6% and 3.4%, retrospectively.

Conclusions

There is low in vitro efficacy of commonly used antimicrobials such as β-lactams and fluoroquinolones in our study population; thus, we recommend opting for trimethoprim/sulfamethoxazole and gentamicin for systemic and topical single-agent treatments.

Introductions

The lacrimal apparatus is responsible for the production and drainage of tears and consists of the secretory and excretory systems. The excretory apparatus includes the anatomical structures responsible for tear clearance from the ocular surface and drainage into the nasal cavity. It consists of lacrimal punctum on the margin of the upper and lower eyelids, which open into the superior and inferior canaliculi, which typically join into a common canaliculus, which then drain into the lacrimal sac that is contiguous with the nasolacrimal duct within the canal of the maxillary bone, before draining into the inferior meatus of the nasal cavity [1].

The pathological colonization of bacteria in the lacrimal excretory apparatus can lead to dacryocystitis and canaliculitis, which manifest clinically as eye injection, discharge, epiphora, punctal inflammation (“pouting punctum”), as well as periorbital edema, erythema, tenderness and warmth. If left untreated or not treated promptly, the infection could lead to abscess formation, pre-septal cellulitis, and post-septal orbital cellulitis. Rarely, severe infections can spread to adjacent periorbital structures and cause life threatening conditions such as meningitis and cavernous sinus thrombosis [25].

Staphylococcal species are the most common virulent microorganisms that cause lacrimal apparatus infections, with Staphylococcus aureus (S. aureus) accounting for 23.8 to 30% of dacryocystitis cases [69]. A recent retrospective study, which included 195 bacterial isolates from the lacrimal drainage system, reported that S. aureus was identified in more than half of lacrimal isolates [10]. Previous studies on lacrimal system infections have reported various methicillin resistance rate, ranging from 20% to 43.9% [6,8,10]. Methicillin-resistant Staphylococcus aureus (MRSA) is known for causing high mortality worldwide due to its multi-drug resistance and the rapid progression of disease subsequent to infection. MRSA can be identified by detecting the methicillin resistance gene (mecA), which encodes a methicillin-resistant penicillin-binding protein [11].

Various antibiotics are utilized to treat S. aureus infections. However, in the era of increasing antibiotic resistant organisms, appropriate antibiotic selection can be challenging, as there is increased risk of treatment failure. Many antibiotics are prescribed both topically and systemically to treat a wide variety of other bacterial infections, often just prophylactically or inappropriately used, increasing the risk of cross-resistance and treatment failure. For instance, besifloxacin, a fluoroquinolone used for bacterial conjunctivitis treatment and formulated only for topical ophthalmic use, has lower resistance rates compared to other fluoroquinolones that are prescribed systemically. However, the reported in vitro resistance rates are still high [12,13].

Given the marked prevalence of multi-drug resistant subtypes and the empirical treatment of lacrimal apparatus infections, it is important to determine the changes in the prevalence of multi-drug resistant subtypes and resistance rates of the most common bacterial isolates, especially MRSA. In this retrospective study we aim to identify the prevalence of MRSA in lacrimal system isolates and in vitro anti-microbial resistance rates among MRSA versus MSSA samples at Bascom Palmer Eye Institute.

Materials and methods

Study design

A retrospective review of culture-proven S. aureus isolates recovered from lacrimal system samples collected between January 2013—December 2022 was performed. Institutional review board approval was obtained from the University of Miami, Miller School of Medicine Sciences Subcommittee for the Protection of Human Subjects (IRB Protocol Study ID #200709). The study was conducted in accordance with the tenets of the Declaration of Helsinki. It was compliant with the provisions of the United States of America Health Insurance Portability and Accountability Act of 1996 (HIPAA). The isolates were identified by searching the Ocular Microbiology Department’s database (Table 1). In patients with persistent infection and more than one S. aureus positive culture (n = 8) only the characteristics of the first isolate were recorded. However, the resistance patterns were similar across all cultures, except for one patient who had both MSSA and MRSA.

Data collection

Microbiologic data such as isolate, specimen source, and in vitro susceptibility were recorded. Patients’ medical records were reviewed to extract clinical data including gender, age, clinical setting, history of diabetes, history of recent ocular surgery, presence of lacrimal biomaterial implant, symptom onset, and treatment details.

Antibiotic susceptibility test

Primary clinical specimens from infection site were collected by the attending ophthalmologist or resident according to institutional guidelines and submitted to the clinical microbiology laboratory for processing. Samples were inoculated following standard microbiological procedures. Each sample was inoculated onto 5% sheep blood agar plate, chocolate agar plate, and thioglycolate broth, then incubated aerobically at 35°C for up to 7 days. Fungi were cultured on Sabouraud agar, both with and without chloramphenicol, at 25°C for 14 days. Gram staining was performed routinely.

S. aureus identification was confirmed with the BactiStaph Latex kit (Remel, Lenexa, KS, US). Isolates were classified as MRSA vs MSSA using the cefoxitin screen and oxacillin susceptibility. These along with in vitro resistance patterns (MIC ug/ml) were determined using the automated system Vitek 2 (BioMériuex, Durham, NC). Although susceptibility breakpoints are not established for the topical treatment of ocular infections with eye drops, given that the majority of lacrimal system infections were treated systemically, results were interpreted according to Clinical Laboratory Standard Institute (CLSI) guidelines [14]. The isolates were classified as S (susceptible), I (intermediate), and or R (resistant). Advanced Expert System (AES) of the VITEK 2 was used to infer a genotype (resistance mechanism) from the susceptibility patterns.

Microtiter plate assay

The biofilm formation was assessed in a subgroup of isolates (n = 29). The degree of biofilm production was determined by a microtiter plate assay as previously described [15]. Bacteria were inoculated into tryptic soy broth (TSB) with 0.25% glucose (Remel, Lenexa, KS, US) and incubated overnight at 37°C. For each isolate a 0.5 McFarland suspension, approximately 1 x 108 colony-forming units (CFU)/ml was prepared, and 150 μl of solution was dispensed into each well of 96-well polystyrene microtiter plate (Costar 3599, Corning, Tissue Culture- Treated; Corning Inc., Corning, NY). After 24 hours incubation at 37°C under aerobic conditions, the plates were washed three times with distilled water and stained with 0.1% crystal violet, for 15 minutes. The staining was washed with distilled water. After solubilizing the stain by adding 180 μl of 30% acetic acid in water to each well, the quantity of adherent biofilm was determined by measuring the optical density (OD) at 550 nm. A well with 30% acetic acid in water served as blank. We used triplicates for each isolate and the isolate OD calculated by subtracting the negative control OD from the average OD of the three replicates. The interpretation and categorization of the results have been described previously [16]. The cut-off value (ODc = average OD of negative control+(3×standard deviation (SD) of negative control)) was calculated and the OD of each isolate was categorized based on ODc. (OD ≤ODc = no biofilm producer; ODc <OD ≤2×ODc = weak biofilm producer; 2×ODc <OD ≤4×ODc = moderate biofilm producer; 4×ODc <OD = strong biofilm producer).

Statistical analysis

The antimicrobials susceptibility was compared between methicillin-resistant and susceptible isolates and the first five-year (n = 64) and the second five-year (n = 52) study period. All statistical analyses were performed using SPSS (version 26.0; IBM, Armonk, NY, USA) and GraphPad Prism (version 9.5.1; GraphPad, La Jolla, CA, USA). Continuous variables were shown as mean ± standard deviation (SD). Categorical variables were presented as count (percentage). The normality of continuous variables was tested by the Kolmogorov-Smirnov test. Logistic regression used to calculate the odds ratios (ODs) for resistance to each antibiotic. Student t-test and Mann-Whitney U test were applied to analyze parametric and non-parametric continuous variables, respectively. Categorical variables were analyzed using Chi-square or Fisher’s exact test. Significance was set at P-value of < 0.05. and ns, *, **, ***, and **** represent P-value >0.05, <0.05, <0.01, <0.001, and <0.0001, respectively.

Results

Patients characteristics

During the 10-year duration of the study, 368 specimens were collected from lacrimal apparatus and 116 S. aureus isolates were identified among them. Patients’ characteristics are summarized in Table 2. The mean age of the patients was 57.5±24.8 (range, 1–108) years, and 72 (62.1%) were females. The prevalence of recent antibiotic use was 39.5%. Thirty-one (27.4%) and 22 (19.5%) patients had recent ocular surgery and stent lacrimal intubation, respectively. All the lacrimal biomaterials (100%) were removed as part of the treatment. Of the patients with cultures from the lacrimal excretory apparatus, 41 (37.3%) patients underwent surgery, including 33 dacryocystorhinostomy (DCR) and 8 canaliculi surgeries. The canaliculi surgery included canaliculoplasty (n = 2), marsupialization of canaliculi (n = 2), punctoplasty (n = 1), canaliculostomy (n = 1), and canaliculotomy (n = 1).

Antimicrobials

The most common first line of treatment was a combination of oral and topical antibiotics (n = 50, 44.2%). The remainder of patients received the antimicrobials from only one route either oral (n = 35, 31.0%) or topical antibiotics (n = 28, 24.8%). The most common antibiotics utilized were β-lactams (n = 44, 38.9%) and polymyxin B/ trimethoprim (n = 35, 31.0%). Among patients who were prescribed oral antibiotics only, 21 (60.0%) were treated with a β-lactam. Moreover, among patients treated with topical antibiotics, 9 (32.1%) received moxifloxacin. The treatment details are shown in Fig 1.

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Fig 1. The prevalence of antibiotics used as the first line of treatment.

A: The percentage of topical antibiotics used as a combined or an only topical regimen. B: The percentage of oral antibiotics used as part of a combined or an only oral regimen.

https://doi.org/10.1371/journal.pone.0314366.g001

Resistance

Of the total 116 isolates identified 52 (44.8%) were methicillin-resistant. Among the fluoroquinolones, the resistance rate was 38.8% for ciprofloxacin, 38.8% for levofloxacin, and 30.4% for moxifloxacin. The resistance rates for trimethoprim/sulfamethoxazole (TMP/SXT), tetracycline, gentamicin, and vancomycin were 8.6%, 12.1%, 3.4%, and 0.9%, retrospectively. All the isolates were susceptible to doxycycline. Antibiotic resistance and MICs are shown in Table 3.

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Table 3. Antibiotics sensitivity and minimum inhibitory concentration details.

https://doi.org/10.1371/journal.pone.0314366.t003

Resistance in MRSA versus MSSA.

The resistance rates for fluoroquinolones were significantly higher among methicillin-resistant Staphylococcus aureus (MRSA) compared to methicillin-sensitive Staphylococcus aureus (MSSA) (P-value<0.0001); for ciprofloxacin 65.4% and 17.2%; for levofloxacin 65.4% and 17.2%; and for moxifloxacin 53.8% and 11.1%, respectively. In addition, compared to MSSA, MRSA had higher resistance against erythromycin (P-value<0.0001). For the other antimicrobials, the susceptibility did not differ between MRSA and MSSA isolates (Fig 2).

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Fig 2. Antimicrobials resistance in MSSA vs MRSA.

MRSA, Methicillin-sensitive Staphylococcus aureus; MRSA, Methicillin-resistant Staphylococcus aureus.

https://doi.org/10.1371/journal.pone.0314366.g002

Vancomycin MIC.

The MIC for vancomycin was ≥1 μg/ml in 95 (81.9%) of patients, among them four had an MIC of 2 μg/ml and one had an MIC of 32 μg/ml. The prevalence of MIC of ≥1 μg/ml was 50 (78.1%) and 45 (86.5%) patients among MSSA and MRSA isolates, respectively.

Resistance changes over time.

Overall, for most antibiotics, resistance showed a stable trend during the study period (P-value>0.05) (Fig 3). When comparing the resistance rates between the first (2013–2017) and the second half of the study period (2018–2022), the highest resistance change was observed for moxifloxacin, with an increase from 21.9% to 41.2% (P-value = 0.025). The resistance change for other antibiotics was non-significant (Fig 4).

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Fig 3. Resistance trends during the study period among MSSA and MRSA isolates.

All the slopes were not significant (P-value>0.5). MRSA, Methicillin-sensitive Staphylococcus aureus; MRSA, Methicillin-resistant Staphylococcus aureus; TMP/SXT, trimethoprim sulfamethoxazole.

https://doi.org/10.1371/journal.pone.0314366.g003

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Fig 4. Resistance to antibiotics in different study periods.

https://doi.org/10.1371/journal.pone.0314366.g004

Mechanism of resistance.

mecA is the gene that confers methicillin resistance. In our survey, genotypic methicillin resistance correlated with the phenotypic resistance. It should be noted that these genotype or resistance mechanisms were identified based on the interpretation of MIC values. However, it is widely accepted that using VITEK 2 AES allows for reliable detection of resistance related to β-lactams [17]. Additionally, multicenter evaluations have shown that VITEK 2 AES provides reliable phenotypic interpretations for quinolones and aminoglycosides [18]. Furthermore, all isolates with gentamicin resistance had aac(6’)-aph(2”) gene (Table 4).

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Table 4. Genotype or resistance mechanisms detected by VITEK 2.

https://doi.org/10.1371/journal.pone.0314366.t004

Biofilm producing

Biofilm productions of isolates are categorized in Table 5. The mean OD550 was 0.1873 ± 0.2013. The mean ODs of MSSA and MRSA were 0.1808 ± 0.1964 and 0.1868 ± 0.2155, respectively. This difference was not statistically significant (P-value = 0.783).

Discussion

S. aureus is the most common cause of dacryocystitis and a common cause of canaliculitis, which commonly leads to mucopurulent discharge, ocular surface irritation, and eyelid infectious signs such as erythema, edema, tenderness, and warmth. More serious infections can lead to abscess formation, pre-septal or post-septal cellulitis. Typically, lacrimal apparatus infections respond to systemic antibiotics, however some cases require canaliculotomy or abscess incision and drainage. Recurrence is common if the underlying etiology, typically nasolacrimal duct obstruction, is not addressed.

Traditionally, MRSA colonization and infections were believed to be related to risk factors such as indwelling catheters, immunocompromised status, diabetes, drug injection, living in long-term care facilities, or recent hospitalization. However, cases of community-acquired MRSA are increasing. Previous studies have documented the same trend in ocular microbiology [10]. Moreover, our study shows compatible results with this theory, demonstrating that MRSA is not associated with typical risk factors as was anticipated. Many patients with MRSA did not have classical risk factors for MRSA infections, for instance only 11.1% had lacrimal biomaterials. In contrast patients with MSSA had significantly higher rates of prior history of ocular surgery and lacrimal intubation.

Although not significant, 60.8% of infections caused by MRSA were acute. This result is comparable with previous studies in which MRSA was primarily isolated from acute infections [6].

Biofilms are known to be antibiotic resistant. In our study, all the lacrimal biomaterials were removed as part of the treatment, highlighting the role of biofilm formation in the lacrimal system infections outcome. Previous studies have confirmed the presence of biofilm in the majority (83%) of infected periocular and orbital implants with electron microscopy [19,20]. In our study the degree of biofilm production did not differ between MSSA and MRSA isolates and only a small percent (13.8%) of isolates were moderate to strong biofilm producers.

Among patients with dacryocystitis, about one-third required DCR surgery. This emphasizes the importance of resolution of NLDO, which could result in infection reoccurrence if not addressed [6]. In the case of canaliculitis, restoration of patency is important, often times with canaliculotomy to remove infectious dacryoliths. Moreover, it has been reported that recanalization and restoring tear flow would decrease the virulent bacteria conjunctival sac and normalize conjunctival flora [21].

The methicillin/oxacillin resistance rate in our population (44.2%) was higher than most previously reported in the USA [10,22]; a reason for this is the geographic differences. As reported in ARMOR studies, southern states of the USA have a higher resistance rate for methicillin/oxacillin than the country’s average (~40% versus 34.9%) [23,24]. Another reason is the higher methicillin/oxacillin resistance rates among lacrimal system infections compared to other ocular infections [10].

In our study, there was no difference regarding resistance of clindamycin, trimethoprim/sulfamethoxazole (TMP/SXT), gentamicin, and vancomycin between MRSA and MSSA. However, previous studies have reported a high in vitro resistance rate in S. aureus of ocular isolates to fluoroquinolones, macrolides, and methicillin, with a higher rate of multi-drug resistance among MRSA [25].

Based on the published literature, erythromycin has co-resistance with methicillin. Andre et al. have reported a strong association between methicillin and erythromycin resistance, with a resistance rate of 88.4% and 40.2% with MRSA and MSSA, respectively [10]. Similarly, in our study, the resistance rate for macrolides was significantly higher among MRSA compared to MSSA isolates (89.1% versus 39.7%).

In the ARMOR study, the resistance rate for fluoroquinolones was 7.1–10.8% and 58.3–72.7% among MSSA and MRSA isolates, respectively [23]. Also, as reported in a systematic review, the susceptibility rates for the fluoroquinolones were lower among MRSA than MSSA (4.3–55.0% versus 79.9–96.0%) [25]. We observed similar results with lacrimal isolates. In our study the fluroquinolones resistance rates were significantly higher among MRSA.

Hetero-vancomycin intermediate S. aureus (hVISA) has a multistep generation course, evolving from vancomycin sensitive strains. The first mutation increases the vancomycin MIC to 2 μg/ml and following mutations cause progress to higher MICs [26]. In our population we observed four (3.4%) isolates with MIC of 2 μg/ml and one isolate that was resistant to vancomycin. Microbiology surveys have reported an increase in hVISA and VISA in recent years [27].

Generally, there is an increasing trend in resistance to β-lactams. In a study on keratitis isolates from 1993 to 2012, oxacillin resistance increased from the 18.4% in the first quarter to 38.3% in the last quarter of the study [28]. In the ARMOR study, oxacillin resistance among S. aureus isolates decreased by 2.16% per year between 2009 (39.0%) and 2018 (29.3%) [23]. In an eight-year survey on ocular isolates, the documented resistance rate was stable with an average of 28%. In our study the oxacillin resistance increased from 33.3% in the first two years (2013–2014) to 50.0% in the last two years (2021–2022).

Although the reported resistance rate for macrolides had an increasing trend with a rate of 3.74% (1997–2008) [29], the more recent trend was a 1.4% (2009–2018) annual reduction rate [23]. A more recent study reported a stable erythromycin resistance rate over the eight-year period of the study. At the beginning of the study, the resistance rates for MSSA and MRSA were 39.5% and 95.1%, respectively. By the end of the study, the rates had only slightly changed to 40.2% and 89.3% for MSSA and MRSA [10]. Similarly, we observed a stable resistance rate across the ten-year period of our study (R2 = 0.64, P-value = 0.103).

Most studies have reported increasing resistance rates over time for fluoroquinolones. A study at Bascom Palmer Eye Institute on S. aureus isolates from keratitis, and conjunctivitis reported an increasing trend in resistance to fluoroquinolones from 7.5 to 39.6% between 1990 and 2001 [30]. Similarly, another not recent study reported a 30% rise with a 2.57% annual increasing rate in fluoroquinolones resistance from 1997 to 2008 [29]. However, in the more recent ARMOR study fluoroquinolone resistance among S. aureus isolates had an annual decrease rate of 2.24% and they documented a drop in resistance rate between 2009 (38.5%) and 2018 (30.0%) [23]. In our study, the resistance rate for fluoroquinolones had an increasing trend including a dramatic increase in resistance to moxifloxacin from 9.1% in the first two years to 35.3% in the last two years.

A study on conjunctival isolates showed rising trends in resistance for some effective antimicrobials including TMP/SXT, tetracycline, and gentamicin [29]. However, our study findings indicate that the resistance trends for these antimicrobials have reached a plateau. Our findings align with recent reports [23].

In our study approximately one-fifth of the patients do not respond to the initial antibiotic therapy and require changing the antibiotic class. Another study has reported that about one-third of bacterial isolates are resistant to the initial antibiotic therapy [6].

In summary our data demonstrates the absence of traditional risk factors for developing MRSA infection. We identified treatment trends and a high level of resistance among S. aureus to some frequently used antibiotics in our clinic. Additionally, we presented resistance rates for commonly used antibiotics, revealing an increase in resistance for some, like fluoroquinolones, while others have reached a plateau in resistance change. Our data on methicillin/oxacillin resistance differs from previously published data, such as ARMOR; the reason could be the fact that the ARMOR data were not classified by infection type to allow evaluation of any potential disease/tissue-specific trends in the population analyzed. However, this discrepancy can be attributed to the differences in characteristics of isolates from ocular site and geographic locations.

The current study had some limitations, such as its retrospective nature, small sample size, and being single-centered. Additionally, it was not possible to retrieve all the samples and evaluate the biofilm formation ability of them. The strengths of this study include evaluating the clinical characteristics and treatments success rate along with in vitro susceptibilities to common antimicrobials. The study also documents a high rate of MRSA and evolving antibiotic resistance to fluoroquinolones among this study dataset.

Conclusions

In conclusion, given the lack of evident risk factors for MRSA infection in some patients, ophthalmologists should always consider MRSA as an etiology for lacrimal apparatus infections, even in the absence of any risk factors. Considering the low in-vitro efficacy of frequently used antimicrobials such as β-lactams and fluoroquinolones in our study population, single-agent therapy with these antibiotics should be avoided. We recommend using TMP/SXT and doxycycline for systemic treatment, along with gentamicin for topical application.

Supporting information

References

  1. 1. de la Cuadra-Blanco C, Peces-Peña MD, Jáñez-Escalada L, Mérida-Velasco JR. Morphogenesis of the human excretory lacrimal system. J Anat. 2006;209(2):127–35. pmid:16879594; PubMed Central PMCID: PMC2100314.
  2. 2. Alsalamah AK, Alkatan HM, Al-Faky YH. Acute dacryocystitis complicated by orbital cellulitis and loss of vision: A case report and review of the literature. Int J Surg Case Rep. 2018;50:130–4. Epub 20180809. pmid:30118963; PubMed Central PMCID: PMC6098209.
  3. 3. Maheshwari R, Maheshwari S, Shah T. Acute dacryocystitis causing orbital cellulitis and abscess. Orbit. 2009;28(2–3):196–9. pmid:19839913.
  4. 4. Tsirouki T, Dastiridou AI, Ibánez Flores N, Cerpa JC, Moschos MM, Brazitikos P, et al. Orbital cellulitis. Surv Ophthalmol. 2018;63(4):534–53. Epub 20171215. pmid:29248536.
  5. 5. Wladis EJ, Shinder R, LeFebvre DR, Sokol JA, Boyce M. Clinical and microbiologic features of dacryocystitis-related orbital cellulitis. Orbit. 2016;35(5):258–61. Epub 20160711. pmid:27399840.
  6. 6. Mills DM, Bodman MG, Meyer DR, Morton AD 3rd., The microbiologic spectrum of dacryocystitis: a national study of acute versus chronic infection. Ophthalmic Plast Reconstr Surg. 2007;23(4):302–6. pmid:17667103.
  7. 7. Shah CP, Santani D. A comparative bacteriological profile and antibiogram of dacryocystitis. Nepal J Ophthalmol. 2011;3(2):134–9. pmid:21876586.
  8. 8. Chung SY, Rafailov L, Turbin RE, Langer PD. The microbiologic profile of dacryocystitis. Orbit. 2019;38(1):72–8. Epub 20180511. pmid:29750587.
  9. 9. Eshraghi B, Abdi P, Akbari M, Fard MA. Microbiologic spectrum of acute and chronic dacryocystitis. Int J Ophthalmol. 2014;7(5):864–7. Epub 20141018. pmid:25349808; PubMed Central PMCID: PMC4206896.
  10. 10. André C, Lebreton F, Van Tyne D, Cadorette J, Boody R, Gilmore MS, et al. Microbiology of eye infections at the Massachusetts Eye and Ear: An 8-year retrospective review combined with genomic epidemiology. American Journal of Ophthalmology. 2023. pmid:37343741
  11. 11. Enright MC, Robinson DA, Randle G, Feil EJ, Grundmann H, Spratt BG. The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA). Proc Natl Acad Sci U S A. 2002;99(11):7687–92. pmid:12032344; PubMed Central PMCID: PMC124322.
  12. 12. Bertino JS Jr. Impact of antibiotic resistance in the management of ocular infections: the role of current and future antibiotics. Clin Ophthalmol. 2009;3:507–21. Epub 20090924. pmid:19789660; PubMed Central PMCID: PMC2754082.
  13. 13. Miller D, Chang JS, Flynn HW, Alfonso EC. Comparative in vitro susceptibility of besifloxacin and seven comparators against ciprofloxacin- and methicillin-susceptible/nonsusceptible staphylococci. J Ocul Pharmacol Ther. 2013;29(3):339–44. Epub 20130104. pmid:23289847.
  14. 14. CLSI. Performance Standards for Antimicrobial Susceptibility Testing. 33rd ed: Clinical and Laboratory Standards Institute; 2023.
  15. 15. O’Toole GA. Microtiter dish biofilm formation assay. J Vis Exp. 2011;(47). Epub 20110130. pmid:21307833; PubMed Central PMCID: PMC3182663.
  16. 16. Stepanović S, Vuković D, Hola V, Di Bonaventura G, Djukić S, Cirković I, et al. Quantification of biofilm in microtiter plates: overview of testing conditions and practical recommendations for assessment of biofilm production by staphylococci. Apmis. 2007;115(8):891–9. pmid:17696944.
  17. 17. Winstanley T, Courvalin P. Expert systems in clinical microbiology. Clin Microbiol Rev. 2011;24(3):515–56. pmid:21734247; PubMed Central PMCID: PMC3131062.
  18. 18. Livermore DM, Struelens M, Amorim J, Baquero F, Bille J, Canton R, et al. Multicentre evaluation of the VITEK 2 Advanced Expert System for interpretive reading of antimicrobial resistance tests. J Antimicrob Chemother. 2002;49(2):289–300. pmid:11815570.
  19. 19. Samimi DB, Ediriwickrema LS, Bielory BP, Miller D, Lee W, Johnson TE. Microbiology and Biofilm Trends of Silicone Lacrimal Implants: Comparing Infected Versus Routinely Removed Stents. Ophthalmic Plast Reconstr Surg. 2016;32(6):452–7. pmid:26588208.
  20. 20. Samimi DB, Bielory BP, Miller D, Johnson TE. Microbiologic trends and biofilm growth on explanted periorbital biomaterials: a 30-year review. Ophthalmic Plast Reconstr Surg. 2013;29(5):376–81. pmid:23880975.
  21. 21. Hiraoka T, Hoshi S, Tasaki K, Oshika T. Assessment of conjunctival flora in eyes with lacrimal passage obstruction before and after successful dacryoendoscopic recanalisation. Br J Ophthalmol. 2021;105(7):909–13. Epub 20200726. pmid:32713839.
  22. 22. Oydanich M, Dingle TC, Hamula CL, Ghisa C, Asbell P. Retrospective report of antimicrobial susceptibility observed in bacterial pathogens isolated from ocular samples at Mount Sinai Hospital, 2010 to 2015. Antimicrobial Resistance & Infection Control. 2017;6(1):29. pmid:28344783
  23. 23. Asbell PA, Sanfilippo CM, Sahm DF, DeCory HH. Trends in Antibiotic Resistance Among Ocular Microorganisms in the United States From 2009 to 2018. JAMA Ophthalmology. 2020;138(5):439–50. pmid:32271355
  24. 24. Asbell PA, Pandit RT, Sanfilippo CM. Antibiotic Resistance Rates by Geographic Region Among Ocular Pathogens Collected During the ARMOR Surveillance Study. Ophthalmol Ther. 2018;7(2):417–29. Epub 20180809. pmid:30094698; PubMed Central PMCID: PMC6258574.
  25. 25. Bispo PJM, Sahm DF, Asbell PA. A Systematic Review of Multi-decade Antibiotic Resistance Data for Ocular Bacterial Pathogens in the United States. Ophthalmol Ther. 2022;11(2):503–20. Epub 20220203. pmid:35113406; PubMed Central PMCID: PMC8927494.
  26. 26. Hiramatsu K, Kayayama Y, Matsuo M, Aiba Y, Saito M, Hishinuma T, et al. Vancomycin-intermediate resistance in Staphylococcus aureus. Journal of Global Antimicrobial Resistance. 2014;2(4):213–24. pmid:27873679
  27. 27. Shariati A, Dadashi M, Moghadam MT, van Belkum A, Yaslianifard S, Darban-Sarokhalil D. Global prevalence and distribution of vancomycin resistant, vancomycin intermediate and heterogeneously vancomycin intermediate Staphylococcus aureus clinical isolates: a systematic review and meta-analysis. Sci Rep. 2020;10(1):12689. Epub 20200729. pmid:32728110; PubMed Central PMCID: PMC7391782.
  28. 28. Chang VS, Dhaliwal DK, Raju L, Kowalski RP. Antibiotic Resistance in the Treatment of Staphylococcus aureus Keratitis: a 20-Year Review. Cornea. 2015;34(6):698–703. pmid:25811722-201506000-00017.
  29. 29. Adebayo A, Parikh JG, McCormick SA, Shah MK, Huerto RS, Yu G, et al. Shifting trends in in vitro antibiotic susceptibilities for common bacterial conjunctival isolates in the last decade at the New York Eye and Ear Infirmary. Graefe’s Archive for Clinical and Experimental Ophthalmology. 2011;249(1):111–9. pmid:20532549
  30. 30. Marangon FB, Miller D, Muallem MS, Romano AC, Alfonso EC. Ciprofloxacin and levofloxacin resistance among methicillin-sensitive staphylococcus aureus isolates from keratitis and conjunctivitis. American Journal of Ophthalmology. 2004;137(3):453–8. pmid:15013867