Introduction
Infectious keratitis, or infectious corneal ulceration, is the leading etiology of corneal blindness and the fifth leading cause of blindness worldwide, causing two million cases of monocular blindness per year.1,2 It can result from bacterial, fungal, parasitic, viral, or polymicrobial infections, and presents with pain, redness, decreased vision, and photophobia.1–3 Without timely diagnosis and treatment, infectious keratitis can cause severe complications including corneal scarring, corneal perforation, or enucleation.1,4,5 If medical therapy fails, surgical management by therapeutic penetrating keratoplasty (TPK) may be required, during which diseased corneal tissue is transplanted with donor tissue.6
Infectious keratitis disproportionately affects developing countries.7,8 While the incidence of infectious keratitis is estimated to be between 2.5 and 27.6 per 100,000 in the United States, the incidence in India is estimated at up to 113 per 100,000.9,10 The higher incidence in low-resource settings has been attributed to traumatic injuries, agricultural exposures, and limited healthcare access.1,11
Major risk factors for infectious keratitis include contact lens use, trauma, ocular surface disease, prior ocular surgery, and systemic immunosuppression.1,12 Poor presenting visual acuity (VA), large infiltrate size, larger epithelial defect size, perforation at presentation, and involvement of the posterior cornea were factors associated with need for TPK.13–17 Worse presenting visual acuity, delayed presentation, and larger stromal infiltrates were associated with worse 90-day visual acuity in a study comparing US and Indian populations.18
Sociodemographic risk factors associated with keratitis have also been examined. A cohort study in a South Indian population showed that older age, female gender, and lack of education were associated with poor outcomes.14
There remains a need for detailed analyses of risk factors for severe presentations of keratitis in robust patient cohorts, especially in developing countries. This study examined clinical, anatomic, and sociodemographic risk factors for worse VA at presentation among patients with infectious keratitis presenting to Sadguru Netra Chikitsalaya (SNC) Hospital, a tertiary eye care hospital in Chitrakoot, Madhya Pradesh, India.
MethodsStudy Population
We retrospectively reviewed records of patients with active infectious keratitis presenting to SNC Eye Hospital from June to November 2024. SNC Hospital serves a rural population and utilizes vision centers and screening eye camps to identify patients needing care.
Inclusion criteria were eyes from patients aged ≥ 16 years with active corneal infection diagnosed clinically or with microbiologic testing. For bilateral infections, the worse-seeing eye was analyzed.
Data Sources & Variables Collected
Data collected from the electronic medical record included demographics (age, sex, address), infection laterality, best-corrected visual acuity (BCVA), slit lamp examination findings, days from symptom onset to presentation, risk factors, and microbiology testing (Gram stain and/or KOH preparation). At SNC Chitrakoot, corneal scraping with Gram or KOH stain was used to diagnose infection; culture and PCR methods are not routinely performed at the site and were not used in this analysis. Slit lamp findings were documented via a standardized form and included epithelial defect diameter, infiltrate diameter, infiltrate stromal depth, infiltrate location relative to the limbus, and markers of severe infection including hypopyon, endothelial plaque, impending perforation/descemetocele, and frank perforation. Whether eyes were selected for TPK was also collected.
Calculation of Travel Distance
Patient addresses and the SNC Hospital address were converted to latitude and longitude coordinates via the Google Maps API and the “ggmap” R package. Straight-line distances (km) between coordinates was computed using Stata’s “geodist” command.
Classification of Infection Type
Fungal keratitis cases showed fungal organisms on KOH prep or Gram stain. Bacterial keratitis showed bacterial organisms on Gram stain. Viral keratitis cases were diagnosed clinically by a cornea specialist. Polymicrobial infections were positive for at least two of: microbiologically confirmed fungal keratitis, microbiologically confirmed bacterial keratitis, and/or clinically diagnosed viral keratitis.
Evaluation of Risk Factors for Poor Presenting VA
Poor presenting VA was defined as distance Snellen BCVA <20/200, an establishment for legal blindness that has been employed in prior studies of infectious keratitis.19,20 Univariate logistic regression was used to evaluate associations between risk factors and poor presenting VA. Binomial logistic regression was used to calculate prevalence ratio (PRs) with 95% confidence intervals (CIs). For each exposure included in the analysis, the PR quantified how the prevalence of poor presenting VA differed between levels. Significant individual risk factors were incorporated into a multivariable logistic regression model. Poisson regression with robust variance estimation was used to approximate the binomial model when the model failed to converge.
Geographic data conversion was conducted in R (v2024.09.0+375). Analyses were conducted in Stata (v18).
ResultsBaseline Study Population Characteristics
About 667 eyes from 667 patients with active microbial keratitis were included. The mean patient age was 50.3 ± 15 years, and 62.2% were male (N=415). Time to presentation was 20.4 ± 27.2 days, with mean travel distance of 144.8 ± 92.1 km. Most eyes (N=494, 74.1%) presented with VA 20/200 or worse (Table 1).
Table 1 Demographic, Clinical, and Anatomic Characteristics of Microbial Keratitis by Presenting Visual Acuity
Common risk factors were vegetative trauma (N=183, 27.4%), recent ocular trauma (N=60, 9.0%), dust exposure (N=33, 5.0%), animal trauma (N=27, 4.1%), and insect trauma (N=26, 3.9%), though 37% of eyes (N=247) had no identifiable risk factors. About 58% of infections were fungal keratitis only (N=320), followed by bacterial keratitis only (N=177, 26.5%), and polymicrobial infections (N=66, 9.9%). Isolated viral keratitis accounted for two infections (0.3% of cases).
Risk Factors for Poor Presenting VA
In univariable analysis, factors associated with VA ≤20/200 were increasing age (PR 1.01 per year, 95% CI 1.007–1.012, p<0.001), delayed presentation >14 days (PR 1.11, 95% CI 1.02–1.21, p=0.020), and bacterial keratitis (PR 1.16, 95% CI 1.06–1.28, p=0.001) or polymicrobial infections (PR 1.17, 95% CI 1.03–1.32, p=0.014) relative to fungal keratitis (reference group) (Table 2).
Table 2 Patient and Eye-Level Characteristics Associated with 20/200 or Worse Presenting Visual Acuity
Anatomic factors associated with poor presenting VA included larger epithelial defect diameter (2-< 6 mm versus 0–2 mm [reference group]: PR 1.47, 95% CI 1.22–1.77, p<0.001, and >6mm versus 0–2 mm: PR 1.97, 95% CI 1.65–2.35, p<0.001) and larger stromal infiltrate diameter (2 to <6 mm versus 0–2 mm [reference group]: PR 1.40, 95% CI 1.17–1.68, p<0.001, and >6 mm versus 0–2 mm: PR 1.88, 95% CI 1.58–2.24, p<0.001). Deeper stromal infiltrates were also associated with poorer VA. Compared to eyes with infiltrates only within the anterior one third of the stroma (reference group), eyes had higher likelihood of poor presenting VA with infiltrates in the middle one third of the stroma (PR 1.54, 95% CI 1.37–1.72, p=0.005), posterior one third of the stroma (PR 1.54, 95% CI 1.37–1.72, p<0.001), or endothelial plaque (PR 1.54, 95% CI 1.37–1.74, p<0.001). Compared to eyes without central infiltrates (reference group), infiltrates involving the central cornea (PR 1.22, 95% CI 1.11–1.34, p<0.001) or extending diffusely throughout the cornea (PR 1.31, 95% CI 1.20–1.43, p<0.001) were associated with higher risk of poor presenting VA. Eyes with infiltrate extension to within 2 mm of the limbus were also associated with higher likelihood of poorer VA on presentation (PR 1.16, 95% CI 1.06–1.28, p=0.002).
Hypopyon (PR 1.43, 95% CI 1.32–1.54, p<0.001), impending perforation (PR 1.34, 95% CI 1.26–1.43, p<0.001), frank perforation (PR 1.35, 95% CI 1.27–1.44, p<0.001), and need for therapeutic keratoplasty (PR 1.35, 95% CI 1.27–1.44, p<0.001) were all significantly associated with poor presenting VA (Table 2).
In multivariable analysis, several factors remained independently associated with poor presenting VA (Table 2). Older age (PR 1.01 per year, 95% CI 1.005–1.010, p<0.001) was associated with poor presenting VA. Both bacterial keratitis (PR 1.12, 95% CI 1.03–1.23, p=0.009) and polymicrobial infections (PR 1.13, 95% CI 1.01–1.26, p=0.027) were associated with worse presenting VA compared to fungal keratitis. Anatomically, larger epithelial defects of 2 to <6 mm (PR 1.24, 95% CI 1.01–1.52, p=0.003) and >6mm (PR 1.38, 95% CI 1.12–1.71, p=0.042) predicted worse VA compared to epithelial defects >0 to <2 mm. Posterior stromal involvement (PR 1.22, 95% CI 1.09–1.36, p<0.001), endothelial lesions (PR 1.13, 95% CI 1.00–1.26, p=0.043), central infiltrate location (PR 1.26, 95% CI 1.14–1.38, p<0.001), and the presence of hypopyon (PR 1.28, 95% CI 1.18–1.39, p<0.001) were also independent risk factors for poor presenting VA.
Discussion
This large retrospective study of infectious keratitis in India identified several anatomic, clinical, and demographic factors associated with poor presenting VA of 20/200 or worse. Anatomic risk factors were more strongly associated with poor VA than clinical or demographic risk factors, highlighting their importance as potential biomarkers to help gauge infection severity and predict clinical outcomes in keratitis. The strong associations between anatomic findings and poor presenting VA may make them useful for standardized keratitis risk assessment tools.
Anatomic Risk Factors for Worse Presenting VA
Anatomic features were more powerfully associated with poor presenting VA than any other covariates in our analysis, including well-described keratitis risk factors such as trauma and fungal infection.1,14,21 These findings indicate the importance of detailed anatomic evaluation of keratitis to triage clinical severity. Although this analysis relied on subjective clinician grading, future research can utilize imaging such as slit lamp photography and anterior segment optical coherence tomography (ASOCT) to better classify anatomic risk factors.
Central infections, which directly affect the visual axis, were associated with worse VA. The Steroids for Corneal Ulcers Trial (SCUT) demonstrated that centrally located ulcers demonstrated a benefit in 3-month VA after adjuvant corticosteroids, providing further evidence that therapies to reduce central scarring may confer visual benefits compared to treatment of peripheral scarring.22 Our work corroborates central location as an important determinant of poor keratitis outcomes.
The presence of hypopyon was associated with poorer presenting VA, indicating that measuring hypopyon may help to stratify keratitis severity. Hypopyon is an indicator of infection severity that is most frequently associated with fungal keratitis, and it has been demonstrated that up to 50% of fungal cases develop hypopyon.23–25 Objective measurement of hypopyon size on slit lamp biomicroscopy, photography, or ASOCT may aid in use of hypopyon as a biomarker in future research.
Larger epithelial defects were associated with poorer VA than smaller epithelial defects. Compared to eyes with epithelial defects 0 to <2 mm in diameter, eyes with epithelial defects 2 to <6 mm in size had 24% higher prevalence of VA ≤20/200. Eyes with epithelial defects >6 mm in diameter had 38% higher prevalence of VA 20/200 or worse, compared to epithelial defects 0 to <2 mm in diameter. Epithelial defect size is well-studied as a predictor of severe keratitis outcomes, and has been associated with higher likelihood of prolonged healing time, need for surgical intervention, and worse 3-month VA outcomes.14,17,26,27 Our finding corroborates use of epithelial defect size as a biomarker of worse presenting VA in keratitis.
Deeper stromal involvement was strongly associated with worse presenting VA. Eyes with infiltrates extending into the posterior one-third of the cornea had 22% higher prevalence of VA <20/200 compared to eyes with infiltrates in the anterior one-third of the cornea. Endothelial plaque was associated with 13% higher prevalence of VA ≤20/200 compared to isolated anterior infiltrates. In SCUT, which measured infiltrate depth via subjective slit lamp examination, subgroup analyses showed that deeper infiltrates were associated with VA improvement following exposure to adjuvant corticosteroids while parameters such as infiltrate diameter were not associated with VA improvement.22 A follow-up analysis of patients years after MUTT I showed that irregular astigmatism from post-infectious stromal thinning was strongly associated with worse long-term VA while scar depth was not associated.28 However, the authors argued that initial infection depth may predict development of irregular astigmatism and may be an important predictor of vision loss. Given the potential for novel imaging such as ASOCT to quantify infection depth, future research should evaluate the association of infection depth with longer term infection outcomes.
It is notable that larger infiltrate diameter was not associated with worse presenting VA. Larger infiltrate diameter has been associated with severe disease, worse vision, and higher rates of surgical intervention, although only a few clinical trials such as SCUT and MUT have shown an association between infiltrate diameter and trial endpoints.22,25,26,29,30 In one study using ASOCT to quantify fungal keratitis, both infiltrate width and depth were reduced from presentation to healing.31 In a separate study using ASOCT to quantify bacterial keratitis lesions, both corneal edema and stromal infiltrate thickness in the anterior-to-posterior dimension significantly decreased with infection resolution, while infiltrate width did not.32 Thus, infiltrates may be more likely to shrink in stromal depth within the anterior-to-posterior axis rather than diameter or size in the en face (X-Y) plane. Given that infiltrate diameter was not associated with poor VA while infiltrate depth remained strongly associated with poor presenting VA, future studies should evaluate the use of infiltrate depth as a sensitive biomarker for worse infection.
Clinical Risk Factors for Worse Presenting VA
Bacterial and polymicrobial infections being associated with worse VA compared to fungal keratitis is noteworthy. Fungal keratitis has been shown to have an aggressive course and lead to worse outcomes.33–35 In our study, more eyes with bacterial only infections had larger and deeper infiltrates compared to eyes with fungal only infections (Table 3). A greater percentage of polymicrobial infections also had deeper infiltrates. The poorer presenting VA associated with bacterial keratitis may be due to more severe infiltrates than those eyes with fungal keratitis. To our knowledge, this is the first study evaluating keratitis outcomes in Madhya Pradesh, where keratitis types may differ from South India, where fungal keratitis is common. Thus, both a difference in infiltrate size and geography may explain the more significant vision loss associated with bacterial infections in our analysis.
Table 3 Demographic, Clinical, and Anatomic Characteristics of Microbial Keratitis by Infection Type
Sociodemographic Risk Factors for Worse Presenting VA
Older age showed a modest association with poorer VA, where for each one-year increase in age, the prevalence of presenting VA ≤20/200 increased by 1%. Sociodemographic factors such as days to presentation and travel distance were not associated with poorer VA.
The population’s mean presentation time of 20.4 days highlights the challenge of healthcare access in rural India. Eyes with presenting VA <20/200 had greater time to presentation (22 days versus 16 days). Further, time to presentation ≥14 days had an 11% increased risk of presenting VA ≤20/200, though this was not significant in multivariable analysis. Barriers for delayed presentation in similar settings have included transportation costs, travel distance, lost wages, and lack of nearby eye care facilities.36,37 Future work should continue to explore and address sociodemographic barriers.
This study has certain limitations. SNC Hospital is a tertiary referral center, and patients in our study may represent more severe cases of keratitis, which may not be generalizable to other settings. Microbiologic confirmation with culture or PCR methods was not possible as it was not routinely performed at the site. As this was a retrospective study, it is subject to data reporting inconsistencies due to recall bias. Additionally, this analysis is focused on risk factors for presenting VA; we acknowledge that longer-term outcomes such as follow-up VA at one year, which are being collected, will be essential to thoroughly understand the risk factors associated with severe presentations of keratitis. Nonetheless, our findings highlight key anatomic and clinical features that are strongly associated with poor presenting VA in microbial keratitis.
Conclusion
In this large cross-sectional study of infectious keratitis patients presenting to a tertiary center in north India, specific anatomic features including large epithelial defect diameter, deep stromal infiltrates, central infections, and hypopyon were strongly associated with poor VA at presentation, even after accounting for several sociodemographic and clinical risk factors. In practice, structured evaluation of anatomic infection parameters can help grade keratitis severity, enable risk stratification to prioritize urgent need for therapy, and serve as clinically relevant therapeutic biomarkers for clinical trials.
Data Sharing Statement
The datasets generated and analyzed during the current study are not publicly available due to ongoing data collection and analysis but can be made available from the corresponding author on reasonable request.
Ethics Approval and Informed Consent
This study obtained ethics approval from the Johns Hopkins Institutional Review Board (ID: IRB00259376) and the SNC Hospital Research Ethics Committee (no associated ID, approved 5/2/2024). Participants gave informed consent before study entry. This study adheres to tenets of the Declaration of Helsinki.
Funding
Funding support for this research was provided by KeraLink International and the National Eye Institute (K23EY032988, R21EY034343, R33EY034343).
Disclosure
The authors declare that they have no competing interests.
References
1. Ting DSJ, Ho CS, Deshmukh R, Said DG, Dua HS. Infectious keratitis: an update on epidemiology, causative microorganisms, risk factors, and antimicrobial resistance. Eye. 2021;35(4):1084–1101. doi:10.1038/s41433-020-01339-3
2. Cabrera‐Aguas M, Khoo P, Watson SL. Infectious keratitis: a review. Clin Exp Ophthalmol. 2022;50(5):543–562. doi:10.1111/ceo.14113
3. Ung L, Chodosh J. Foundational concepts in the biology of bacterial keratitis. Exp Eye Res. 2021;209:108647. doi:10.1016/j.exer.2021.108647
4. Butler TKH, Spencer NA, Chan CCK, Singh Gilhotra J, McClellan K. Infective keratitis in older patients: a 4 year review, 1998–2002. Br J Ophthalmol. 2005;89(5):591–596. doi:10.1136/bjo.2004.049072
5. Khoo P, Cabrera-Aguas MP, Nguyen V, Lahra MM, Watson SL. Microbial keratitis in Sydney, Australia: risk factors, patient outcomes, and seasonal variation. Graefes Arch Clin Exp Ophthalmol. 2020;258(8):1745–1755. doi:10.1007/s00417-020-04681-0
6. Tew TB, Chu HS, Hou YC, Chen WL, Wang IJ, Hu FR. Therapeutic penetrating keratoplasty for microbial keratitis in Taiwan from 2001 to 2014. J Formos Med Assoc. 2020;119(6):1061–1069. doi:10.1016/j.jfma.2019.09.016
7. Ung L, Bispo PJM, Shanbhag SS, Gilmore MS, Chodosh J. The persistent dilemma of microbial keratitis: global burden, diagnosis, and antimicrobial resistance. Surv Ophthalmol. 2019;64(3):255–271. doi:10.1016/j.survophthal.2018.12.003
8. Ormerod LD. Causation and management of microbial keratitis in subtropical Africa. Ophthalmology. 1987;94(12):1662–1668. doi:10.1016/s0161-6420(87)33235-x
9. Jeng BH, Gritz DC, Kumar AB, et al. Epidemiology of ulcerative keratitis in Northern California. Arch Ophthalmol. 2010;128(8):1022–1028. doi:10.1001/archophthalmol.2010.144
10. Gonzales CA, Srinivasan M, Whitcher JP, Smolin G. Incidence of corneal ulceration in Madurai district, South India. Ophthalmic Epidemiol. 1996;3(3):159–166. doi:10.3109/09286589609080122
11. Stapleton F. The epidemiology of infectious keratitis. Ocular Surf. 2023;28:351–363. doi:10.1016/j.jtos.2021.08.007
12. Khor WB, Prajna VN, Garg P, et al. The Asia cornea society infectious keratitis study: a prospective multicenter study of infectious keratitis in Asia. Am J Ophthalmol. 2018;195:161–170. doi:10.1016/j.ajo.2018.07.040
13. Rautaraya B, Sharma S, Ali MH, Kar S, Das S, Sahu SK. A 3½-year study of bacterial keratitis from Odisha, India. Asia Pac J Ophthalmol. 2014;3(3):146–150. doi:10.1097/APO.0b013e3182a3f301
14. Chidambaram JD, Venkatesh Prajna N, Srikanthi P, et al. Epidemiology, risk factors, and clinical outcomes in severe microbial keratitis in South India. Ophthalmic Epidemiol. 2018;25(4):297–305. doi:10.1080/09286586.2018.1454964
15. Titiyal JS, Negi S, Anand A, Tandon R, Sharma N, Vajpayee RB. Risk factors for perforation in microbial corneal ulcers in north India. Br J Ophthalmol. 2006;90(6):686–689. doi:10.1136/bjo.2005.079533
16. Arunga S, Kintoki GM, Mwesigye J, et al. Epidemiology of microbial keratitis in Uganda: a cohort study. Ophthalmic Epidemiol. 2020;27(2):121–131. doi:10.1080/09286586.2019.1700533
17. Prajna NV, Krishnan T, Mascarenhas J, et al. Predictors of outcome in fungal keratitis. Eye. 2012;26(9):1226–1231. doi:10.1038/eye.2012.99
18. Woodward MA, Vogt EL, Niziol LM, et al. Factors associated with vision outcomes in microbial keratitis – a multisite prospective cohort study. Ophthalmology. 2025;132:830–841. doi:10.1016/j.ophtha.2025.02.004
19. US Preventive Services Task Force. Screening for impaired visual acuity in older adults: US Preventive Services Task Force Recommendation Statement. JAMA. 2022;327(21):2123–2128. doi:10.1001/jama.2022.7015
20. Przybek-Skrzypecka J, Ryk-Adamska M, Szewczuk A, et al. Severe microbial keratitis in virgin and transplanted cornea—probability of visual acuity improvement. J Clin Med. 2024;14(1):124. doi:10.3390/jcm14010124
21. Brown L, Leck AK, Gichangi M, Burton MJ, Denning DW. The global incidence and diagnosis of fungal keratitis. Lancet Infect Dis. 2021;21(3):e49–e57. doi:10.1016/S1473-3099(20)30448-5
22. Srinivasan M, Mascarenhas J, Rajaraman R, et al. Corticosteroids for bacterial keratitis: the Steroids for Corneal Ulcers Trial (SCUT). Archives of Ophthalmology. 2012;130(2):143–150. doi:10.1001/archophthalmol.2011.315
23. Xu LJ, Song XS, Zhao J, Sun SY, Xie LX. Hypopyon in patients with fungal keratitis. Chin Med J. 2012;125(3):470–475.
24. Chaudhary S, Kate A, Bagga B, Mohamed A, Sharma S. Predictive factors for resolution of dematiaceous fungal keratitis. Cornea. 2022;41(6):709–713. doi:10.1097/ICO.0000000000002825
25. Prajna NV, Krishnan T, Rajaraman R, et al. Predictors of corneal perforation or need for therapeutic keratoplasty in severe Fungal Keratitis: a secondary analysis of the mycotic ulcer treatment trial II. JAMA Ophthalmol. 2017;135(9):987–991. doi:10.1001/jamaophthalmol.2017.2914
26. Agarwal S, Srinivasan B, Iyer G, et al. Depth, size of infiltrate, and the microbe – The trio that prognosticates the outcome of infective keratitis. Indian J Ophthalmol. 2024;72(1):44–50. doi:10.4103/IJO.IJO_1022_23
27. Di Zazzo A, Rajan M, Dureja R, et al. Pediatric microbial keratitis: identification of clinical biomarkers for prognosis and outcome of 218 cases from 2009 to 2019. Cornea. 2022;41(9):1103–1109. doi:10.1097/ICO.0000000000002957
28. Menda SA, Das M, Panigrahi A, et al. Association of postfungal keratitis corneal scar features with visual acuity. JAMA Ophthalmol. 2019;138(2):113. doi:10.1001/jamaophthalmol.2019.4852
29. Ting DSJ, Cairns J, Gopal BP, et al. Risk factors, clinical outcomes, and prognostic factors of bacterial keratitis: the Nottingham Infectious Keratitis Study. Front Med Lausanne. 2021;8:715118. doi:10.3389/fmed.2021.715118
30. Prajna NV, Lalitha P, Rajaraman R, et al. Changing azole resistance: a secondary analysis of the MUTT I randomized clinical trial. JAMA Ophthalmol. 2016;134(6):693–696. doi:10.1001/jamaophthalmol.2016.0530
31. Abdelghany AA, Alio JL, AttaAllah HR. Role of anterior segment optical coherence tomography in staging and evaluation of treatment response in infectious keratitis. Cornea. 2024;43(10):1216. doi:10.1097/ICO.0000000000003466
32. Konstantopoulos A, Yadegarfar G, Fievez M, Anderson DF, Hossain P. In vivo quantification of bacterial keratitis with optical coherence tomography. Invest Ophthalmol Visual Sci. 2011;52(2):1093–1097. doi:10.1167/iovs.10-6067
33. Prajna NV, Srinivasan M, Mascarenhas J, et al. Visual impairment in fungal versus bacterial corneal ulcers 4 years after successful antimicrobial treatment. Am J Ophthalmol. 2019;204:124–129. doi:10.1016/j.ajo.2019.03.010
34. Austin A, Lietman T, Rose-Nussbaumer J. Update on the management of infectious keratitis. Ophthalmology. 2017;124(11):1678–1689. doi:10.1016/j.ophtha.2017.05.012
35. Hsu HY, Ernst B, Schmidt EJ, Parihar R, Horwood C, Edelstein SL. Laboratory results, epidemiological features, and outcome analyses of microbial keratitis: a 15-year review from Saint Louis. Am J Ophthalmol. 2018;198:54. doi:10.1016/j.ajo.2018.09.032
36. Sengo DB, Marraca NA, Muaprato AM, García-Sanjuan S, Caballero P, López-Izquierdo I. Barriers to accessing Eye Health Services in Suburban Communities in Nampula, Mozambique. Int J Environ Res Public Health. 2022;19(7):3916. doi:10.3390/ijerph19073916
37. Kovai V, Krishnaiah S, Shamanna BR, Thomas R, Rao GN. Barriers to accessing eye care services among visually impaired populations in rural Andhra Pradesh, South India. Indian J Ophthalmol. 2007;55(5):365–371. doi:10.4103/0301-4738.33823