Skip to main content
International Journal of Ophthalmology logoLink to International Journal of Ophthalmology
. 2020 Jan 18;13(1):54–60. doi: 10.18240/ijo.2020.01.08

Ocular bacterial infections at a tertiary eye center in China: a 5-year review of pathogen distribution and antibiotic sensitivity

Wen Gao 1,3, Tian Xia 2, Hua-Bo Chen 2, Xiao-Jing Pan 2, Yu-Sen Huang 2, Xin Wang 2, Yan-Ling Dong 2, Li-Xin Xie 2
PMCID: PMC6942948  PMID: 31956570

Abstract

AIM

To provide statistical evidence for the use of antibiotics in ophthalmology by assessing the distribution and antibiotic sensitivity of bacterial isolates from ocular specimens with suspected microbial infections.

METHODS

This study applied a retrospective analysis of 3690 bacterial isolates from ocular specimens, which were obtained from the conjunctiva, cornea, aqueous humor, vitreous body, and other ocular sites of the patients at Shandong Eye Institute in northern China from January 2013 to December 2017. The parameters assessed mainly included the distribution of isolated bacteria and the results of susceptibility tests for antibiotics. In the analysis of antibiotic sensitivities, the bacteria were divided into four groups according to gram staining, and statistical methods were used to compare their antibiotic sensitivities.

RESULTS

Among the 3690 isolated bacterial strains, Staphylococcus epidermidis (2007, 54.39%) accounted for the highest proportion. As for the total isolates, their sensitivity rate to gatifloxacin was up to 90.01%, with four types of gram-stained bacteria being all highly sensitive to it, but their sensitivity rate to levofloxacin was only 51.91%. The sensitivity rate of gram-negative bacilli (G-B) to levofloxacin was 83.66%, significantly higher than the other three types of gram-stained bacteria (P<0.05). Gram-positive cocci (G+C, 97.95%) and gram-positive bacilli (G+B, 97.54%) were more sensitive to vancomycin than gram-negative cocci (G-C, 70.59%) and G-B (68.57%; P<0.05). For fusidic acid, the sensitivity rates of G+C (89.83%) and G+B (73.37%) were significantly higher than that of G-B (29.83%; P<0.05). The gram-negative bacteria's sensitivity rate to cefuroxime was as low as 59.25%, but only G-B was less sensitive to cefuroxime (57.28%), while G-C was still highly sensitive (89.29%). The sensitivity rate of gram-positive bacteria to moxifloxacin was as high as 80.28%, but only G+C was highly sensitive to moxifloxacin (81.21%), while G+B was still less sensitive (32.00%).

CONCLUSION

Staphylococcus epidermidis is the predominant isolate in all ocular specimens with bacteria. Gatifloxacin is more suitable for topical prophylactic use than levofloxacin in ophthalmology when necessary. Vancomycin and fusidic acid both have better effects on gram-positive bacteria than gram-negative bacteria. More accurate antibiotic sensitivity analysis results can be obtained when a more detailed bacterial classification and more appropriate statistical methods are performed.

Keywords: bacteria, ocular infections, pathogen, antibiotic sensitivity

INTRODUCTION

Ocular bacterial infections, which are associated with many risk factors including contact lenses, trauma, surgery, age, dry eye state, chronic nasolacrimal duct obstruction and previous ocular infections[1][2], are common in ophthalmology and vary from self-limiting to sight-threatening[3]. In the treatment of bacterial infections, pathogenic bacteria must be identified to ensure appropriate antimicrobial treatment. Broad-spectrum antibiotics have been commonly used to treat ocular infections, but pathogenic bacteria have shown a decreased sensitivity to widely used broad-spectrum antibiotics[4]. Therefore, we retrospectively assessed the bacterial isolates from ocular specimens with suspected microbial infections in northern China, hoping to find more sensitive antibiotics for different kinds of pathogens and help ophthalmologists make effective decisions in treating ocular bacterial infections.

Pathogen distribution and antibiotic sensitivity are constantly changing over time, so it is necessary to summarize regularly. There have been many studies on antibiotic sensitivity, which were conducted according to the classification of gram-positive and gram-negative bacteria or direct enumeration of the sensitivity rates. The question whether further classifying gram-stained bacteria and comparing the sensitivity rate by a statistical analysis can lead to more accurate results in antibiotic sensitivity studies has not attracted enough attention. We did get some notable results when a detailed classification of the tested bacterial isolates and a statistical analysis of the sensitivity rate were conducted in the current study.

SUBJECTS AND METHODS

Ethical Approval

This retrospective study was approved by the Institutional Review Board of Shandong Eye Institute. Because of its retrospective nature, the requirement of informed consent was waived. All study conduct adhered to the tenets of the Declaration of Helsinki.

A retrospective review of the records of ocular isolates was conducted from January 2013 to December 2017 at Shandong Eye Institute, a major tertiary eye center in northern China. Clinical specimens were obtained from the conjunctiva, cornea, aqueous humor, vitreous body, eyelid margin, lacrimal passage, orbital contents, and other ocular sites of the patients in the Inpatient Wards and Outpatient Clinics. Cultures were performed using liquid (nutrient broth) and solid (chocolate agar, blood agar, and MacConkey agar) media. Bacterial isolates were identified, and dilution antimicrobial susceptibility testing was made and interpreted using automated microbiology systems, i.e., VITEK II compact 30 before 2016 and Microscan Walkaway 96 after 2016, at the clinical microbiology laboratory of our institution according to the Clinical and Laboratory Standards Institute's Guidelines. The parameters assessed mainly included the distribution of isolated bacteria and the results of susceptibility tests for antibiotics. Only nonrepetitive isolates that underwent susceptibility testing were included in this study, and not all antimicrobials were tested against each isolate.

Most data were collected from the Laboratory Information System used by our clinical microbiology laboratory. Positive results were inputted into a Microsoft Excel spreadsheet file, which included patient name, patient ID number, patient age, collection date, ward type, collection site, organism isolated and minimum inhibitory concentration values against various antibiotics. For a small amount of uncertain data, such as “intraoperative specimen”, the patients' medical records were checked to ensure the accurate collection site. We also obtained a five-year statistical report on the antibiotic sensitivity from the Laboratory Information System. In the analysis of antibiotic sensitivities, the bacteria were divided into four groups according to gram staining, and statistical methods were used to compare their antibiotic sensitivities.

Statistical Analysis

Data were analyzed using the SPSS (version 19.0; SPSS, Inc., Chicago, IL, USA). The spearman correlation analysis was used to study the correlation between two variables. Comparisons of categorical variables were conducted using the Chi-square test. A P-value <0.05 at 95% CI was considered statistically significant.

RESULTS

A total of 11 530 ocular specimens with suspected microbial infections were submitted for microbiological evaluation. Among these specimens, 3625 (31.44%) showed bacterial growth, and 3690 bacterial strains were isolated. The positivity rates of the bacterial cultures from years 2013 to 2017 were 30.82%, 35.26%, 25.76%, 25.88%, and 36.56%, respectively. The change in the annual culture positivity rate was not statistically significant (P=0.747). Among the patients corresponding to positive bacterial culture specimens, 1513 were male and 2112 were female, with a male-female ratio of 1:1.40. The average age of the patients was 49.65±22.21 (range 4d-102y). Among the 3625 bacterial specimens, 2849 (78.59%) were obtained from the conjunctiva, 569 (15.70%) from the cornea, and 111 (3.06%) from the aqueous humor or vitreous body. The remaining 96 (2.65%) specimens were gathered from the lacrimal passage, eyelid margin, orbital contents and other ocular sites.

The distribution of bacterial genera isolated from ocular specimens with suspected microbial infections between 2013 and 2017 is presented in Table 1. A total of 3690 strains (32 genera and 140 species) were isolated. Among these strains, 3037 were gram-positive cocci (G+C; 82.30%), 407 were gram-negative bacilli (G-B; 11.03%), 221 were gram-positive bacilli (G+B; 5.99%), and 25 were gram-negative cocci (G-C; 0.68%). The most common bacterial genera were Staphylococcus (2706, 73.33%), Corynebacterium (161, 4.36%), Neisseria (19, 0.51%), and Pseudomonas (91, 2.47%) in G+C, G+B, G-C, and G-B, with Staphylococcus epidermidis (S. epidermidis; 2007, 54.39%), Corynebacterium xerosis (160, 4.34%), Neisseria mucosa (7, 0.19%), and Pseudomonas aeruginosa (77, 2.09%) being the main isolates, respectively. The predominant bacterial isolate was S. epidermidis (2007, 54.39%), followed by Staphylococcus aureus (260, 7.05%), C. xerosis (160, 4.34%), Staphylococcus hominis (125, 3.39%), Staphylococcus haemolyticus (115, 3.12%), and P. aeruginosa (77, 2.09%). Neither the annual changes in the proportions of the above major strains nor those in the proportions of G+C, G+B, G-C, and G-B were statistically significant (P>0.05). The distribution of bacteria isolated from different ocular sites between 2013 and 2017 is presented in Table 2. S. epidermidis was the predominant bacterial isolate in the conjunctiva, cornea, aqueous humor or vitreous body, and other ocular sites, respectively. In addition, S. aureus was one of the most common bacteria in the conjunctiva, cornea, as well as aqueous humor or vitreous body.

Table 1. Distribution of bacterial genera isolated from ocular specimens with suspected microbial infections between 2013 and 2017.

Type of bacterial isolates Number of isolates (n=3690) %
G+C 3037 82.30
Staphylococcus 2706 73.33
Streptococcus 141 3.82
Enterococcus 88 2.38
Micrococcus 49 1.33
Kocuria 33 0.89
Granulicatella 11 0.30
 Others 9 0.24
G-B 407 11.03
Pseudomonas 91 2.47
Serratia 37 1.00
Sphingomonas 33 0.89
Proteus 29 0.79
Escherichia 28 0.76
Klebsiella 27 0.73
Acinetobacter 25 0.68
Enterobacter 20 0.54
Morganella 19 0.51
Haemophilus 12 0.33
 Others 86 2.33
G+B 221 5.99
Corynebacterium 161 4.36
Bacillus 33 0.89
Actinomyces 12 0.33
Rothia 7 0.19
Arcanobacterium 5 0.14
 Others 3 0.08
G-C 25 0.68
Neisseria 19 0.51
Moraxella 6 0.16
Total 3690 100

Table 2. Distribution of bacteria isolated from different ocular sites between 2013 and 2017.

Bacterial isolates from different ocular sites Number of isolates (n=3690) %
Conjunctiva 2892 78.37
Staphylococcus epidermidis 1661 45.01
Staphylococcus aureus 213 5.77
Corynebacterium xerose 130 3.52
Staphylococcus hominis 97 2.63
Staphylococcus haemolyticus 97 2.63
Staphylococcus lentus 57 1.54
Enterococcus faecalis 44 1.19
Streptococcus mitis 27 0.73
Pseudomonas aeruginosa 27 0.73
 Others 539 14.61
Cornea 579 15.69
Staphylococcus epidermidis 256 6.94
Pseudomonas aeruginosa 39 1.06
Staphylococcus aureus 34 0.92
Corynebacterium xerose 24 0.65
Staphylococcus hominis 19 0.51
Staphylococcus haemolyticus 16 0.43
Micrococcus luteus 13 0.35
Streptococcus mitis 11 0.30
 Others 167 4.53
Aqueous humor or vitreous body 118 3.20
Staphylococcus epidermidis 42 1.14
Staphylococcus aureus 9 0.24
Staphylococcus hominis 6 0.16
Bacillus subtilis 6 0.16
Pseudomonas aeruginosa 5 0.14
Bacillus cereus 5 0.14
 Others 45 1.22
Other ocular sites 101 2.74
Staphylococcus epidermidis 47 1.27
Pseudomonas aeruginosa 6 0.16
Escherichia coli 4 0.11
Staphylococcus aureus 4 0.11
 Others 40 1.08
Total 3690 100

“Other ocular sites” included lacrimal passage, eyelid margin, orbital contents and so on.

The sensitivities of the bacterial isolates to the antibiotics available in our institution are shown in Table 3. The sensitivity rate of the total isolates to gatifloxacin was up to 90.01%, with G+C, G+B, G-C, and G-B being all highly sensitive. For levofloxacin, the sensitivity rate of the total isolates was only 51.91%, whereas that of G-B was 83.66%, significantly higher than that of G+C, G+B, and G-C (P<0.05). For vancomycin, the sensitivity rate of gram-positive bacteria was as high as 97.92% (3112/3178), while that of gram-negative bacteria was only 68.97% (60/87). Moreover, the sensitivity rates of G+C and G+B to vancomycin were significantly higher than those of G-C and G-B (P<0.05). For fusidic acid, the sensitivity rate of gram-positive bacteria was as high as 88.91% (2702/3039), whereas that of gram-negative bacteria was only 32.00% (64/200). In addition, the sensitivity rate of G+C to fusidic acid was significantly higher than that of G-C and G-B, and the sensitivity rate of G+B was significantly higher than that of G-B (P<0.05). For cefuroxime, the sensitivity rate of gram-negative bacteria was as low as 59.25% (269/454), but it was only G-B whose sensitivity rate was 57.28%, while the sensitivity rate of G-C was 89.29%, significantly higher than that of G-B (P=0.001). For moxifloxacin, the sensitivity rate of gram-positive bacteria was as high as 80.28% (2121/2642), but it was only G+C whose sensitivity rate was 81.21%, while the sensitivity rate of G+B was just 32.00%, significantly lower than that of G+C (P=0.000). The sensitivity ranking results of these antibiotics are shown in Table 4, and any sensitivity rate with a denominator number less than 15 was not included in this statistical analysis. Antibiotic sensitivities of fusidic acid and ciprofloxacin increased year by year (Rs=0.900, P=0.037), whereas the changes in other antibiotics were not statistically significant (P>0.05).

Table 3. Sensitivities of the antibiotics available in our institution.

Antibiotics Total G+C G+B G-C G-B
Tigecycline 99.59 (1700/1707) 99.59 (1681/1688) 100.00 (11/11) - 100.00 (8/8)
Vancomycin 97.15 (3172/3265) 97.95 (2914/2975) 97.54 (198/203) 70.59 (12/17) 68.57 (48/70)
Rifampicin 94.48 (2876/3044) 94.90 (2718/2864) 90.84 (119/131) 90.00 (9/10) 76.92 (30/39)
Gatifloxacin 90.01 (3044/3382) 92.69 (2548/2749) 91.12 (195/214) 81.48 (22/27) 71.17 (279/392)
Cefuroxime 89.28 (3058/3425) 94.35 (2603/2759) 87.74 (186/212) 89.29 (25/28) 57.28 (244/426)
Fusidic acid 85.40 (2766/3239) 89.83 (2578/2870) 73.37 (124/169) 52.63 (10/19) 29.83 (54/181)
Ceftazidime 81.99 (1498/1827) 84.41 (1056/1251) 69.62 (110/158) 90.91 (20/22) 78.79 (312/396)
Amikacin 81.61 (324/397) 5.00 (2/40) 100.00 (6/6) 100.00 (1/1) 90.00 (315/350)
Moxifloxacin 80.30 (2123/2644) 81.21 (2105/2592) 32.00 (16/50) 100.00 (1/1) 100.00 (1/1)
Ofloxacin 67.40 (2402/3564) 66.63 (1911/2868) 64.22 (149/232) 78.57 (22/28) 73.39 (320/436)
Gentamicin 66.59 (2455/3687) 65.96 (2004/3038) 64.95 (139/214) 56.52 (13/23) 72.57 (299/412)
Tobramycin 64.13 (2271/3541) 63.50 (1823/2871) 62.87 (149/237) 75.00 (21/28) 68.64 (278/405)
Levofloxacin 51.91 (1941/3739) 46.28 (1430/3090) 71.30 (154/216) 60.87 (14/23) 83.66 (343/410)
Ciprofloxacin 44.61 (1793/4019) 43.36 (1329/3065) 26.86 (137/510) 60.00 (15/25) 74.46 (312/419)

“-” means no antibiotic susceptibility testing was conducted.

%

Table 4. Sensitivity ranking results of the antibiotics.

Stains Sensitivity ranking (P<0.05)
Total TGC>VAN>RIF>GAT, CXM>FDA>CAZ, AMK, MFX>OFX, GEN>TOB>LVX>CIP
G+C TGC>VAN>RIF, CXM>GAT>FDA>CAZ>MFX>OFX, GEN>TOB>LVX>CIP
G+B VAN>GAT, RIF, CXM>FDA, LVX, CAZ, GEN, OFX, TOB>MFX, CIP (FDA>TOB)
G-C CAZ>LVX, CIP, GEN, FDA
G-B AMK>LVX, CAZ, RIF, CIP, OFX, GEN, GAT, TOB, VAN, CXM>FDA (LVX>CIP>CXM)

Any sensitivity rate with a denominator number less than 15 was not included in this statistical analysis. TGC: Tigecycline; VAN: Vancomycin; RIF: Rifampicin; GAT: Gatifloxacin; CXM: Cefuroxime; FDA: Fusidic acid; CAZ: Ceftazidime; AMK: Amikacin; MFX: Moxifloxacin; OFX: Ofloxacin; GEN: Gentamicin; TOB: Tobramycin; LVX: Levofloxacin; CIP: Ciprofloxacin. “A>B, C” means the sensitivity of A was significantly higher than that of B and C (P<0.05), and no statistically significant difference was noted in the sensitivity of B and C (P>0.05).

DISCUSSION

Ocular infections are potentially blinding diseases[5], and bacteria are the most frequently encountered pathogens affecting ocular structures. Bacteria can cause many types of ocular infections such as conjunctivitis, keratitis, blepharitis, orbital cellulitis, dacryocystitis and endophthalmitis[6]. In this retrospective study, 3690 bacterial strains from a tertiary eye center over a period of 5y were analyzed. From January 2013 to December 2017, the positivity rate of bacterial culture in ocular specimens with suspected microbial infections was 31.44%, similar to the result reported by Beijing Tongren Hospital, one of the major eye centers in northern China (29.0%)[7]. Such similarity of findings may be partially explained by the reason that the two hospitals are both in northern China.

In the present study, G+C (82.30%) were prominent in the total bacterial isolates, and Staphylococcus accounted for the highest proportion (73.33%). S. epidermidis (54.39%) was the predominant bacterial isolate in the conjunctiva, cornea, aqueous humor or vitreous body, and other ocular sites, respectively. This finding is similar to those obtained in Britain[8], America[9], Australia[10], and Chinese minorities[11]. S. epidermidis was considered to be the most common bacterial isolate in the normal conjunctival sac[12][13] and one of the main pathogens of bacterial conjunctivitis[14][15]; it was also reported to be the main cause of bacterial keratitis[16][17] and postoperative endophthalmitis[18][19]. In this study, the predominant bacterial isolates were S. epidermidis (2007, 54.39%), S. aureus (260, 7.05%), C. xerosis (160, 4.34%), S. hominis (125, 3.39%), S. haemolyticus (115, 3.12%), and P. aeruginosa (77, 2.09%), which was different from a report in northern Ethiopia[20], where S. aureus (40, 21.5%), coagulase-negative staphylococci (31, 16.7%), P. aeruginosa (21, 11.3%), and E.coli (15, 8%) were the most common isolates. Differences in the regions and environment may be the reason of the discrepancy[21].

The use of effective broad-spectrum antibiotics for treatment of ocular bacterial infections before the availability of results of pathogen identification and antibiotic susceptibility tests is advocated in many studies[5],[22]. Empirical therapy relies on the susceptibility patterns of common bacteria isolated from eye specimens[23]. In the current study, the sensitivity rate of the total isolates to gatifloxacin was up to 90.01%, with G+C, G+B, G-C, and G-B being all highly sensitive to it, indicating that gatifloxacin is a broad-spectrum antibiotic with high sensitivity and is suitable for topical prophylactic use in ophthalmology. Levofloxacin has been the most frequently prescribed preoperative ophthalmic antibiotic for years, but our study showed that the sensitivity rate of the total isolates to it was low (51.91%), whereas that of G-B was high (83.66%). In an earlier study of 319 inpatients (319 eyes) diagnosed with infectious endophthalmitis at our institute[24], the sensitivity rates of bacteria to levofloxacin, tobramycin, gentamicin and ciprofloxacin were listed. Antibiotic sensitivities from two different studies at our institute are shown in Table 5. There was an obvious decline in the sensitivity of levofloxacin in the past few years. Meanwhile, Alabiad et al[25] argued that the resistance of fluoroquinolone including levofloxacin was common among all patient groups. According to the report by Huang et al[26] from our institution in 2009, G+C and G-B retained a high sensitivity to levofloxacin, but this current study showed that G+C were not as sensitive to levofloxacin (46.28%) as in the past (94.8%). Thus, levofloxacin may be no longer suitable for prophylactic use before eye surgery, but can be used to treat ocular infections caused by G-B.

Table 5. Antibiotic sensitivities form two different studies at our institute.

Parameters IES OBIS
Study time 2003-2010 2013-2017
Gentamicin susceptible 71.15 (74/104) 66.59 (2455/3687)
Tobramycin susceptible 77.22 (61/79) 64.13 (2271/3541)
Levofloxacin susceptible 81.82 (45/55) 51.91 (1941/3739)
Ciprofloxacin susceptible 69.52 (73/105) 44.61 (1793/4019)

IES: Infectious Endophthalmitis Study; OBIS: Ocular Bacterial Infections Study.

%

In previous reports, no resistance to vancomycin was identified among bacteria isolated from all types of ocular infections, and the sensitivity to this drug was confirmed[27][28]. In our study, however, the sensitivity rates of G+C and G+B to vancomycin were significantly higher than those of G-C and G-B (P<0.05), which is consistent with the results reported by Schimel et al[9] For fusidic acid, the sensitivity rate of gram-positive bacteria was high (88.91%), contrary to that of gram-negative bacteria (32.00%), with the rate of G+C being significantly higher than that of G-C and G-B, and the rate of G+B being significantly higher than that of G-B. Thus, fusidic acid is recommended to treat gram-positive bacterial infections.

The sensitivity rate of gram-negative bacteria to cefuroxime was as low as 59.25%, but it was only G-B whose sensitivity rate was 57.28%, while the sensitivity rate of G-C was 89.29%, significantly higher than that of G-B. For moxifloxacin, the sensitivity rate of gram-positive bacteria was as high as 80.28%, but it was only G+C whose sensitivity rate was 81.21%, while the sensitivity rate of G+B was just 32.00%, significantly lower than that of G+C. These findings remind us that further classifying bacteria and comparing the sensitivity rate by a statistical analysis would lead to more accurate results when analyzing antibiotic sensitivity. Tigecycline is a new type of active intravenous broad-spectrum antibiotic, which was reported to be used for treating bacterial keratitis resistant to current antimicrobials[29] and corneal neovascularization[30]. Tigecycline (99.59%), vancomycin (97.15%), and rifampicin (94.48%) exhibited a high efficacy on the total isolates, and the sensitivity of tigecycline was significantly higher than that of vancomycin in our study. By ranking the sensitivities of the different gram-stained isolates to the antibiotics (Table 4), we can select antibiotics with higher sensitivity rates to obtain better therapeutic effects when needed.

The findings of this study may help ophthalmologists make more appropriate decisions for the treatment of ocular bacterial infections. However, the retrospective nature of this study and limitation of research time, which determined our sample size, ultimately restricted our analyses on the variation trend of the pathogen distribution and antibiotic sensitivity. Further investigations on ocular bacterial infections with larger sample sizes, longer time, and more advanced techniques will be conducted in the future.

In conclusion, our 5-year study found that S. epidermidis was the main isolate of all ocular specimens with bacteria. As a broad-spectrum antibiotic with high sensitivity, gatifloxacin is more suitable than levofloxacin for topical prophylactic use in ophthalmology, and levofloxacin is an effective drug for treating G-B. Vancomycin and fusidic acid both have better effects on gram-positive bacteria than gram-negative bacteria. More accurate antibiotic sensitivity analysis results can be obtained by further classifying gram-stained bacteria and comparing their sensitivities through statistical analysis.

Acknowledgments

Foundations: Supported by the National Natural Science Foundation of China (No.81670839); the Shandong Medical and Health Science and Technology Development Program (No.2016WS0265); the Qingdao People's Livelihood Science and Technology Project (No.16-6-2-14-nsh).

Conflicts of Interest: Gao W, None; Xia T, None; Chen HB, None; Pan XJ, None; Huang YS, None; Wang X, None; Dong YL, None; Xie LX, None.

REFERENCES

  • 1.Galvis V, Tello A, Guerra A, Acuña MF, Villarreal D. Antibiotic susceptibility patterns of bacteria isolated from keratitis and intraocular infections at Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Colombia. Biomedica. 2014;34(Suppl 1):23–33. doi: 10.1590/S0120-41572014000500004. [DOI] [PubMed] [Google Scholar]
  • 2.Choudhury R, Panda S, Sharma S, Singh DV. Staphylococcal infection, antibiotic resistance and therapeutics. Antibiotic Resistant Bacteria - A Continuous Challenge in the New Millennium. InTech. 2012 [Google Scholar]
  • 3.Hemavathi, Sarmah P, Shenoy P. Profile of microbial isolates in ophthalmic infections and antibiotic susceptibility of the bacterial isolates: a study in an eye care hospital, Bangalore. J Clin Diagn Res. 2014;8(1):23–25. doi: 10.7860/JCDR/2014/6852.3910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.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. Antimicrob Resist Infect Control. 2017;6:29. doi: 10.1186/s13756-017-0185-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Attisano C, Cibinel M, Strani G, Panepinto G, Pollino C, Furfaro G, Giardini F, Machetta F, Grignolo FM, Grandi G. Severe ocular bacterial infections: a retrospective study over 13y. Ocul Immunol Inflamm. 2017;25(6):825–829. doi: 10.1080/09273948.2016.1181767. [DOI] [PubMed] [Google Scholar]
  • 6.Teweldemedhin M, Gebreyesus H, Atsbaha AH, Asgedom SW, Saravanan M. Bacterial profile of ocular infections: a systematic review. BMC Ophthalmol. 2017;17(1):212. doi: 10.1186/s12886-017-0612-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wang ZQ, Zhang Y, Sun XG. Resistance surveillance of ocular isolated bacteria in Beijing Tongren Hospital in 2007-2013. Ophthalmol CHN. 2015;24:262–267. [Google Scholar]
  • 8.Orlans HO, Hornby SJ, Bowler IC. In vitro antibiotic susceptibility patterns of bacterial keratitis isolates in Oxford, UK: a 10-year review. Eye (Lond) 2011;25(4):489–493. doi: 10.1038/eye.2010.231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Leung EH, Kuriyan AE, Flynn HW, Jr, Miller D, Huang LC. Persistently vitreous culture-positive exogenous bacterial endophthalmitis. Am J Ophthalmol. 2016;165:16–22. doi: 10.1016/j.ajo.2016.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Moloney TP, Park J. Microbiological isolates and antibiotic sensitivities in culture-proven endophthalmitis: a 15-year review. Br J Ophthalmol. 2014;98(11):1492–1497. doi: 10.1136/bjophthalmol-2014-305030. [DOI] [PubMed] [Google Scholar]
  • 11.Zhang Y, Liu ZR, Chen H, Fan YC, Duo J, Zheng H, Wang GJ, Li YC, Jiachu DB, Zewang GM. Comparison on conjunctival sac bacterial flora of the seniors with dry eye in Ganzi autonomous prefecture. Int J Ophthalmol. 2013;6(4):452–457. doi: 10.3980/j.issn.2222-3959.2013.04.08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tao H, Wang J, Li L, Zhang HZ, Chen MP, Li L. Incidence and antimicrobial sensitivity profiles of normal conjunctiva bacterial flora in the central area of China: a hospital-based study. Front Physiol. 2017;8:363. doi: 10.3389/fphys.2017.00363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Zhang SD, He JN, Niu TT, Liu SS, Chan CY, Ren CY, Liu C, Pang CP, Qu Y, Li RX, Wang HL. Effectiveness of meibomian gland massage combined with topical levofloxacin against ocular surface flora in patients before penetrating ocular surgery. Ocul Surf. 2018;16(1):70–76. doi: 10.1016/j.jtos.2017.09.001. [DOI] [PubMed] [Google Scholar]
  • 14.Pak KY, Kim SI, Lee JS. Neonatal bacterial conjunctivitis in Korea in the 21st Century. Cornea. 2017;36(4):415–418. doi: 10.1097/ICO.0000000000001122. [DOI] [PubMed] [Google Scholar]
  • 15.Essa Abdullah F, Irfan Khan M, Waheed S. Current pattern of antibiotic resistance of clinical isolates among conjunctival swabs. Pak J Med Sci. 2013;29(1):81–84. doi: 10.12669/pjms.291.2566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhang Y, Wang ZQ, Sun XG. Etiological analysis and in vitro drug sensitivity of bacterial keratitis in northern China in the period of 2006-2015. Zhonghua Yan Ke Za Zhi. 2017;53(9):662–667. doi: 10.3760/cma.j.issn.0412-4081.2017.09.006. [DOI] [PubMed] [Google Scholar]
  • 17.Sharifinejad M, Shokatpour N, Farnaghi F, Abedinyfar Z, Amoli FA, Doustdar F. Different genotypes of adhesion operon genes in Staphylococcus epidermidis isolates from various ocular infections. Eye Contact Lens. 2018;44(Suppl 2):S277–S280. doi: 10.1097/ICL.0000000000000464. [DOI] [PubMed] [Google Scholar]
  • 18.Chang VS, Schwartz SG, Davis JL, Flynn HW., Jr Endophthalmitis following cataract surgery and intracameral antibiotic: Moxifloxacin resistant Staphylococcus epidermidis. Am J Ophthalmol Case Rep. 2019;13:127–130. doi: 10.1016/j.ajoc.2018.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tanaka T, Ferreira BFA, Oliveira LMS, Kato JM, Gioia TSRD, Rossi F, Nakashima Y, Pimentel SLG, Yamamoto JH, Almeida Junior JN. Diagnostic value of pediatric blood culture bottles for acute postoperative endophthalmitis. Clinics (Sao Paulo) 2019;74:e837. doi: 10.6061/clinics/2019/e837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Teweldemedhin M, Saravanan M, Gebreyesus A, Gebreegziabiher D. Ocular bacterial infections at Quiha Ophthalmic Hospital, Northern Ethiopia: an evaluation according to the risk factors and the antimicrobial susceptibility of bacterial isolates. BMC Infect Dis. 2017;17(1):207. doi: 10.1186/s12879-017-2304-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Sharma S. Diagnosis of infectious diseases of the eye. Eye. 2012;26(2):177–184. doi: 10.1038/eye.2011.275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sanfilippo CM, Morrissey I, Janes R, Morris TW. Surveillance of the activity of aminoglycosides and fluoroquinolones against ophthalmic pathogens from Europe in 2010-2011. Curr Eye Res. 2016;41(5):581–589. doi: 10.3109/02713683.2015.1045084. [DOI] [PubMed] [Google Scholar]
  • 23.Rahman ZA, Harun A, Hasan H, Mohamed Z, Noor SS, Deris ZZ, Ismail N, Hassan AS, Ahmad F, Yaakub A. Ocular surface infections in northeastern state of Malaysia: a 10-year review of bacterial isolates and antimicrobial susceptibility. Eye Contact Lens. 2013;39(5):355–360. doi: 10.1097/ICL.0b013e3182a3026b. [DOI] [PubMed] [Google Scholar]
  • 24.Sun SY, Sun XY, Chen H, Zhao G. Etiological profiles and pathogen detection of infectious endophthalmitis. Zhonghua Yi Xue Za Zhi. 2012;92(1):32–35. [PubMed] [Google Scholar]
  • 25.Alabiad CR, Miller D, Schiffman JC, Davis JL. Antimicrobial resistance profiles of ocular and nasal flora in patients undergoing intravitreal injections. Am J Ophthalmol. 2011;152(6):999–1004.e2. doi: 10.1016/j.ajo.2011.05.026. [DOI] [PubMed] [Google Scholar]
  • 26.Huang YS, Dai YH, Sun SY, Lan J, Xie LX. Study of different methods in reducing conjunctival bacteria before cataract surgery. Zhonghua Yi Xue Za Zhi. 2009;89(35):2458–2461. [PubMed] [Google Scholar]
  • 27.Shimizu Y, Toshida H, Honda R, Matsui A, Ohta T, Asada Y, Murakami A. Prevalence of drug resistance and culture-positive rate among microorganisms isolated from patients with ocular infections over a 4-year period. Clin Ophthalmol. 2013;7:695–702. doi: 10.2147/OPTH.S43323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Joseph J, Nirmalkar K, Mathai A, Sharma S. Clinical features, microbiological profile and treatment outcome of patients with Corynebacterium endophthalmitis: review of a decade from a tertiary eye care centre in southern India. Br J Ophthalmol. 2016;100(2):189–194. doi: 10.1136/bjophthalmol-2015-306910. [DOI] [PubMed] [Google Scholar]
  • 29.Sueke H, Kaye S, Neal T, Murphy C, Hall A, Whittaker D, Tuft S, Parry C. Minimum inhibitory concentrations of standard and novel antimicrobials for isolates from bacterial keratitis. Invest Ophthalmol Vis Sci. 2010;51(5):2519–2524. doi: 10.1167/iovs.09-4638. [DOI] [PubMed] [Google Scholar]
  • 30.Goktas S, Erdogan E, Sakarya R, Sakarya Y, Yılmaz M, Ozcimen M, Unlukal N, Alpfidan I, Tas F, Erdogan E, Bukus A, Ivacık IS. Inhibition of corneal neovascularization by topical and subconjunctival tigecycline. J Ophthalmol. 2014;2014:452685. doi: 10.1155/2014/452685. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Ophthalmology are provided here courtesy of Press of International Journal of Ophthalmology

RESOURCES