Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

The development of optic neuropathy after chronic rhinosinusitis: A population-based cohort study

  • Chan-Wei Nien ,

    Contributed equally to this work with: Chan-Wei Nien, Chia-Yi Lee

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

    ‡ These authors share the first authorship on this work.

    Affiliations Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, Department of Ophthalmology, Show Chwan Memorial Hospital, Changhua, Taiwan

  • Chia-Yi Lee ,

    Contributed equally to this work with: Chan-Wei Nien, Chia-Yi Lee

    Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

    ‡ These authors share the first authorship on this work.

    Affiliations Department of Ophthalmology, Show Chwan Memorial Hospital, Changhua, Taiwan, Department of Optometry, College of Medicine and Life Science, Chung Hwa University of Medical Technology, Tainan, Taiwan

  • Pei-Hsuan Wu,

    Roles Conceptualization, Methodology

    Affiliation Department of Otolaryngology–Head and Neck Surgery, Tri-Service General Hospital, Taipei, Taiwan

  • Hung-Chi Chen,

    Roles Formal analysis, Writing – original draft

    Affiliations Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou, Taiwan, Department of Medicine, Chang Gung University College of Medicine, Taoyuan, Taiwan, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, Taiwan

  • Jessie Chao-Yun Chi,

    Roles Conceptualization, Methodology

    Affiliations Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, Department of Otorhinolaryngology Head and Neck Surgery, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan

  • Chi-Chin Sun,

    Roles Formal analysis

    Affiliations Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan, Department of Chinese Medicine, Chang Gung University, Taoyuan City, Taiwan

  • Jing-Yang Huang,

    Roles Formal analysis

    Affiliation Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan

  • Hung-Yu Lin,

    Roles Resources

    Affiliations Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, Department of Ophthalmology, Show Chwan Memorial Hospital, Changhua, Taiwan, Department of Optometry, Chung Shan Medical University, Taichung, Taiwan, Department of Exercise and Health Promotion, Chung Chou University of Science and Technology, Changhua, Taiwan

  • Shun-Fa Yang

    Roles Conceptualization, Resources, Supervision, Writing – review & editing

    Affiliations Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan

The development of optic neuropathy after chronic rhinosinusitis: A population-based cohort study

  • Chan-Wei Nien, 
  • Chia-Yi Lee, 
  • Pei-Hsuan Wu, 
  • Hung-Chi Chen, 
  • Jessie Chao-Yun Chi, 
  • Chi-Chin Sun, 
  • Jing-Yang Huang, 
  • Hung-Yu Lin, 
  • Shun-Fa Yang



To evaluate the risk of developing optic neuropathy (ON) in patient with both non-surgery and surgery-indicated chronic rhinosinusitis (CRS) via the national health insurance research database in Taiwan.

Methodology/Principal findings

44,176 Patients with a diagnostic code of CRS was selected, which included 6,678 received functional endoscopic sinus surgery (FESS) regarded as the surgery-indicated CRS. Each individual in the study group was matched to two non-CRS patients by age and gender. The outcome was set as the occurrence of ON according to the diagnostic codes occurred after the index date. Poisson regression was used to calculate the adjusted relative risk (aRR) and conditional Cox proportional model was used to estimate the adjusted hazard ratio (aHR). There were 131 and 144 events of ON occurred in the study group and the control group respectively during the follow-up period. The whole study group, whether received FESS or not, demonstrated both significant aRR and aHR compared to the control group after adjusting demographic data, prominent ocular diseases, and systemic co-morbidities. In addition, both the aRR and aHR were higher in CRS patient received FESS than those with CRS but without FESS management.


The existence of CRS, especially the surgery-indicated CRS is a significant risk factor for the following ON using multivariable analysis.


Chronic rhinosinusitis (CRS) is an inflammatory disease in the paranasal sinuses that persisted at least 12 weeks, [1] and affect a major amount of population.[2] The clinical presentations of CRS include nasal stiffness, nasal discharge, facial pain, reduction of smell, headache and shortness of breath.[1, 3] In the severe form, the infection and inflammation of the paranasal sinus in CRS may even lead to the development of dread intracranial infection.[4] On the other hand, cranial nerve disorders like the dysfunction of trigeminal nerve and oculomotor nerve may occur in patient with CRS.[57]

Both medical and surgical managements have been utilized to treat CRS.[8] The topical corticosteroid therapy, oral corticosteroid administration and antibiotic treatment with macrolide have been applied to treat CRS with acceptable outcome.[3, 8] Functional endoscopic sinus surgery (FESS) is a well-established intervention for the severe CRS which shows poor response to medical management.[911] Still, the recovery of maxillary sinus mucosa in patient with CRS is incomplete one year after the FESS management.[3] Moreover, patients with some risk factors like higher Lund-Mackay CT scores and fungal-induced CRS may still experience poor quality of life or persistent nasal polyp formation even after successful FESS intervention.[12, 13] The above lines of evidence suggest that the effect of severe CRS would persist despite the performance of FESS.

In the ophthalmic disorders, orbital cellulitis and dacryocystitis have been reported in patients with previous CRS despite treatment program.[14, 15] Concerning the optic nerve, swelling of optic nerve head after CRS was observed in a previous case report.[16] In addition, the occurrence of optic neuropathy (ON) was also found in those patients with CRS whether received FESS or not.[1719] Since the damage of optic nerve in patient with CRS is not uncommon, there may be causal relationship between the development of ON and the existence of CRS which has rarely been elucidated before.

The aim of the current study was to evaluate the possibility of developing ON in patients with CRS, including those surgical-indicated CRS patients who received FESS management, via the national health insurance research database (NHIRD) in Taiwan. Besides, several potential risk factors of ON will also be discussed and analyzed in the multivariable model.

Material and methods

Data source

This retrospective population-based cohort study was approved by the National Health Insurance Administration and the Institutional Review Board (IRB) of Chung Shan Medical University (number: CS-17075). All data were fully anonymized and the IRB waived the requirement for informed consent. Provided by the Taiwan National Health Research Institutes, the NHIRD contains data of insurance claims from more than 99% of Taiwan’s population. The claims data were obtained from the Longitudinal Health Insurance Database 2005 version (LHID 2005) in the current study which derived from the 2016 version of NHIRD. The LHID 2005 contains data on two million patients randomly sampled from the NHIRD registry for the year 2005. The LHID 2005 data were linked from 1 January 2000, to 31 December 2016, and both the International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) were used for disease diagnosis. Details on the medications prescribed for the patients and the demographics, socioeconomic status, and residence of the patients are also available in the NHIRD.

Patient selection

Patients were defined as having CRS by the diagnosis of ICD-9 codes: 473.x, ICD-10 codes: J32.x with an otorhinolaryngologist (department code: 09) from 2000 and 2016. The index date for CRS patients was the first date of CRS diagnosis. We further identified the surgery-indicated CRS if (1) their medical records indicated the arrangement of FESS (procedure codes: 65063B and 65064B) within two year after the diagnosis of CRS, (2) the usage of corticosteroid or antibiotic for at least two years from the diagnosis of CRS. After the exclusion of index date before 2005, the newly diagnosed CRS patients were included in this study. To more accurately elucidate the association between CRS and ON, the following exclusion criteria were applied to exclude certain impaired ocular conditions: (1) receipt of a diagnosis of legal blindness (ICD-9 codes: 369.4, ICD-10 codes: H54.0x, H54.1x, H54.4x, H54.8) at any time; (2) receipt a diagnosis of ocular tumors (ICD-9 codes: 190.0–190.9, ICD-10 codes: C69.x) at any time; (3) receipt a diagnosis of severe ocular trauma (ICD-9 codes: 871.0–871.2, 871.4–871.9, ICD-10 codes: S05.2x-S05.6x) at any time; (4) receipt of any type of eyeball removal surgery or diagnosed as anophthalmos (ICD-9 codes: 16.3x, 16.4x, 16.5x, 871.3, ICD-10 codes: Q11.1, S05.7x, Z90.01 plus procedure codes: 85001C, 85002C, 86808B) before the index date; and (5) receipt a diagnosis of any type of ON (ICD-9 codes: 377.x, ICD-10 codes: H46.x, H47.x) before the index date. In addition, each individual in the study group was age and gender-matched with two non-CRS individuals (all controls were non-duplicate), as discussed in the following sections, which constituted the control group. Index date of the control group corresponded with the matched CRS patients. Furthermore, exclusion criteria for the study group was also applied to the control group. Patients with CRS who could not be matched with two non-CRS patients were excluded.

Main outcome measurement

The development of ON was regarded as the main outcome in the current study which was based on the emergence of ON-related diagnostic codes (ICD-9 codes: 377.00–377.03, 377.10–377.12, 377.30–377.32, 377.39, 377.41, ICD-10 codes: H46.0x, H46.1x, H46.8, H46.9, H47.01x, H47.10-H47.13, H47.20, H47.21x, H47.29x) after the index date. Those ON-related diagnostic codes that indicate clearly underlying etiology (e.g. hereditary optic atrophy and toxic optic neuropathy) or involvement of other parts of visual pathway (e.g. disorders of optic chiasm) were eliminated to prevent overestimation and confusion. Furthermore, only patients who received the abovementioned diagnostic codes by an ophthalmologist (department code: 10) before 2016 from the index date were considered as having achieved an outcome and were included in the study.

Demographic variables and co-morbidities

In the multivariable analysis (In the Poisson regression and the Cox proportional-hazards model), we adjust for health conditions, demographic conditions, and following systemic co-morbidities: hypertension, diabetes mellitus, ischemic heart diseases, hyperlipidemia, congestive heart failure, cerebrovascular disease, dementia, chronic pulmonary disease, rheumatic disease, and hemiplegia or paraplegia. To further make the ocular condition more homogenous, glaucoma, retinal vessel occlusion, age-related macular degeneration (AMD), and posterior as well as pan-uveitis were also considered in the multivariable model. The diagnostic codes of all the co-morbidities mentioned above were presented in S1 Table.

Statistical analysis

SAS version 9.4 (SAS Institute Inc, NC, USA) was used for all analyses. After age and sex-matching at 1:2 ratio of the study and control groups, we longitudinally traced the data from the index date in a right-censored outcome: until the date of ON diagnosis, withdrawal from the National Health Insurance program, or 31 December 2016. Except the gross comparison between the study group (CRS population) and the control group, the study group was further divided into those with FESS and those without FESS. Analyses mentioned in the following sections were applied to evaluate the risk of ON among those groups.

The incidence rate, crude relative risk (RR) and corresponding 95% confidential interval (CI) were calculated using Poisson regression. In order to conduct the multivariable Poisson regression analysis, we calculated the total count of new-onset ON and offset (person-months) that was stratified by CRS exposure, sex, age group, and systemic co-morbidities at baseline. The PROC GENMOD (S2 Table) was used to estimate the crude RR of the study group in the Poisson regression, and the adjusted relative risk (aRR, the reference was control groups) of ON among CRS with FESS, CRS without FESS in the multivariable Poisson model. The setting included the Poisson distribution of count of ON as independent, log link function, and offset was the log of person-months, the dependent variables in the multivariable Poisson model including CRS exposure, sex, age group, and systemic as well as ocular co-morbidities.

In the time-to-event analysis, we performed the log-log plot to evaluate the variation of proportional-hazards which according to follow up interval, and we found the proportional-hazards were under assumption (S1 Fig). Then, the conditional Cox proportional-hazards model was adopted to compute both the crude and adjusted hazard ratios (aHR) of ON among CRS with FESS, CRS without FESS and control groups by consideration of co-variates including the aforementioned demographic data, prominent ocular diseases, and systemic comorbidities. Moreover, the aHR of ON is estimated by stratifying gender and age in subgroup analysis. We estimated Kaplan-Meier to indicate the cumulative incidence proportion of ON between the CRS patients with FESS, CRS patients without FESS and control groups, and used the log rank test to determine the significant difference between the survival curves between the study group and the control group.

The stepwise model selection (Selection of entry = 0.1, Selection of stay = 0.08, choose = Akaike information criterion) was also used to fit both the multivariable Poisson model and conditional Cox proportional-hazards model (the co-variates in this stage including hyperlipidemia, heart failure, dementia, chronic pulmonary diseases, and glaucoma at baseline) to improve accuracy. Both the conditional Cox proportional-hazards model was not adjusted for the race because most patients are Taiwanese. Statistical significance was set at a P value lesser than 0.05 and P value lesser than 0.0001 was depicted as P<0.0001.


A total numbers of 44,176 patients with CRS (included 6,678 treated with FESS within two years) were identified after exclusion, while another 88,352 individuals were age-sex matched in control group. The flowchart of patient selection is shown in Fig 1. The age and gender ratio are identical due to the matching process, while the different characteristics of co-morbidities between the study and control group are listed in Table 1.

Fig 1. The flowchart of patient selection.

LHID 2005: Longitudinal Health Insurance Database 2005 version, CRS: chronic rhinosinusitis, FESS: Functional endoscopic sinus surgery, ON = optic neuropathy.

Table 1. Baseline characteristics between the study and control groups.

There were 131 and 144 events of ON occurred in the study group and the control group respectively during the whole follow-up period. The study group, regardless of treatment with FESS or not, demonstrated a significantly higher incidence rate, crude RR, and crude HR compared to the control group (Table 2). Multivariable analysis after stepwise selection in multivariable Poisson model showed a significantly higher aRR in both subgroups (Table 3). The CRS without FESS subgroup had an aRR of 1.5 (95% CI: 1.2–2.0), and the CRS with FESS subgroup had an aRR of 2.5 (95% CI: 1.7–3.7) compared to control group. Besides, a significant aHR was also observed in patients diagnosed with CRS but without FESS (aHR: 1.6, 95% CI: 1.2–2.1), and patient diagnosed with CRS and received FESS (aHR: 2.7, 95% CI: 1.5–4.7) compared to control group after stepwise selection in conditional Cox proportional-hazards model (Table 4). Also, the cumulative probability of ON was significantly higher in CRS group (especially in surgery-indicated CRS) than the control group present by Kaplan–Meier curves (Log-rank P<0.0001) (Fig 2).

Table 2. Incidence of optic neuropathy in the study and control groups.

Table 3. Univariate and multivariable Poisson regression for estimation of crude and adjusted relative risk of neuropathy.

Table 4. Multiple Cox proportional hazard regression for estimation of adjusted hazard ratios on optic neuropathy.

Fig 2. Kaplan-Meier curves of cumulative probability for optic neuropathy.

CRS: chronic rhinosinusitis, FESS: Functional endoscopic sinus surgery.

Of all other potential risk factors of ON included in the multivariable model, aRR and aHR of hyperlipidemia and glaucoma were found to be significant (Tables 3 and 4). In the subgroup analysis stratified by age and gender, the female gender with surgery-indicated CRS and patient with CRS aged younger than 40 exhibited a significantly higher aHR of developing ON (Table 5).

Table 5. The sensitivity analysis for the adjusted hazard ratio stratified by gender and age groups.


In the current study, we demonstrate a significant association between ON and CRS after adjusting for multiple potential risk factors. In addition, the possibility of occurring ON is also prominently elevated with the existence of hyperlipidemia and glaucoma.

Several possible mechanisms of CRS may be related to the development of ON. The nasal sinus, especially the sphenoid and ethmoidal sinuses, are adjunct to the orbital apex where the optic nerve is located. As a result, the inflammatory or infectious lesions of CRS may invade and influence the nearby tissue and contribute to orbital apex syndrome and damage of optic nerve.[20, 21] Besides, the swelling of paranasal sinus in patients with CRS can also lead to compressive injury of optic nerve and following compressive ON as revealed in previous studies.[18, 22] In addition, the inflammatory process accounts for the majority of etiology for ON including the viral, autoimmune-related or idiopathic subtypes.[23] The elevated inflammatory mediators including interleukin and IgE in the CRS might elevate the local inflammatory reaction,[2426] then lead to the occurrence or progression of ON. In summary, the above evidence supports the hypothesis that an event of CRS may contribute to the development of certain types of ON, which corroborates with our findings.

In the current study, the patients with both surgery-indicated CRS and CRS without surgical management owned a significantly higher possibility to develop ON compared to non-CRS individuals with a higher cumulative probability. Moreover, we excluded patients with pre-existing ON to prevent mis-calculation of outcome achievement. To our knowledge, this is a preliminary experience to demonstrate the casual relationship between ON and CRS with an adequate length of follow-up period. It also demonstrated an even high risk for those with severe CRS requiring FESS. Considering previous research to reveal the development of ON in patients with CRS with or without the performance of FESS, decreased retinal nerves fiber layers and ganglion cell complex thickness were found in patients with several types of CRS.[19] Despite the phenomenon was observed,[19] the case numbers of CRS were few with only 103 patients in that study and the casual relationship between ON and CRS remained not fully elucidated due to the cross-sectional nature.[19] In our study, however, the population-based design included adequate case numbers, and the multivariable analysis showed CRS need FESS to treat was at highest to develop ON which not be shown in previous study. On the other hand, nearly all patients with CRS were treated with corticosteroid which can also be used to manage ON,[8, 27, 28] but the significant results in the current study imply that the effect of both surgery-indicated CRS and non-surgery CRS overwhelms the therapeutic effect of steroid on the ON.

The incident rate of ON is higher in the female population than the male population with surgery-indicated CRS in the current study. Generally, the female is more vulnerable to the ON than the male population according to previous study.[29, 30] In one population-based study, the incidence of ON in female is 1.67 folds higher than male.[31] The results concerning the effect of female gender on the development of ON in those with surgery-indicated CRS in the current study is corresponded to the previous experience, while those with CRS but without surgery management showed conflicting results. Further studies are required to determine if the higher ratio of ON in female population with surgery-indicated CRS was attributed to the female gender or to disease severity.

About other diseases that correlated to the occurrence of ON, glaucoma is the ocular disease with a significantly higher aRR and aHR. It is reasonable for this correlation since glaucoma itself is one type of progressive optic neuropathy that present with visual field defect, and persistent glaucoma may lead to degeneration of optic nerve head.[32] In addition, both the AMD and retinal vessel occlusion-induced ischemia are associated with nerve damage,[33, 34] in which the two diseases revealed an marginally elevated risks for developing ON in the current study after multivariable analysis. The pathophysiology of hyperlipidemia as a risk factor of ON needs further evaluation. Besides, although ON commonly occurs in population with young to middle age,[35] the age was matched in the current study so the influence of age on the relationship between surgery-indicated CRS and ON might be neglected.

The CRS affected about one percent of population in Taiwan according to a previous study conducted in the same region.[36] In the current study, the surgery-indicated CRS account for about 0.3 percent in all population. The lower occurrence rate in the current study compared to the previous study may due to we only enrolled those patients with severe CRS that need FESS to manage. Concerning the epidemiology of ON, the percentage of ON in the control group of current study is similar to the general population in other epidemiological studies of Taiwan with an occurrence rate about 0.1 percent.[31, 37] However, the occurrence rate of ON was near 0.4 percent in the study group, which was significantly higher than the occurrence rate in the control group according to the multivariable analysis and the occurrence rate in the previous studies conducted in the same population.[31] The 2-folds higher occurrence rate of ON of the study group in the current study further strengthened the universality of our findings and illustrated the clinical importance of surgery-indicated CRS on the optic nerve.

There are some limitations in the current study. First, the observational and retrospective nature of study design may reduce the homogeneity of patient population even using multivariable analysis. In addition, we used claimed data rather than real medical documents to analyze, thus missing some important information like the laterality and severity of ON and the postoperative condition of CRS after FESS procedure, and some patients with ON may also be missed since we did not assess the patient directly. Moreover, there are different types of ON (i.e. autoimmune-related, viral infection and idiopathic form), thus we cannot decide which subtype of ON resulting from the influence of CRS which make the causal-relationship between the two diseases unclear. But since many types of ON shares the inflammatory nature,[38] the surgery-indicated CRS might own influence in many types of ON due to its inflammatory reaction and a universal relationship between these two diseases may exist.

In conclusion, the existence of CRS is a significant risk factor in developing ON. Furthermore, the risk of developing ON is positively elevated especially in those patients with surgery-indicated CRS who received FESS management. Further large-scale study to reveal the effectiveness of both non-surgery and surgery-indicated CRS on different subtypes of ON is mandatory.

Supporting information

S1 Fig. The variation of proportional-hazards depended on follow up time by using the log-log plot.


S1 Table. List of codes for co-morbidities.


S2 Table. The code for univariate Poisson regression.



  1. 1. Siedek V, Stelter K, Betz CS, Berghaus A, Leunig A. Functional endoscopic sinus surgery—a retrospective analysis of 115 children and adolescents with chronic rhinosinusitis. International journal of pediatric otorhinolaryngology. 2009;73(5):741–5. Epub 2009/03/10. pmid:19269044.
  2. 2. Gulati SP, Chaudhry D, Kalra V, Wadhera R, Garg A. The role of functional endoscopic sinus surgery (FESS) in patients with asthma with chronic sinusitis. Indian journal of otolaryngology and head and neck surgery: official publication of the Association of Otolaryngologists of India. 2008;60(2):152–5. Epub 2008/06/01. pmid:23120525
  3. 3. Anselmo-Lima WT, Ferreira MD, Valera FC, Rossato M, de Mello VR, Demarco RC. Histological evaluation of maxillary sinus mucosa after functional endoscopic sinus surgery. American journal of rhinology. 2007;21(6):719–24. Epub 2008/01/19. pmid:18201454.
  4. 4. Constantin F, Niculescu PA, Petre O, Balasa D, Tunas A, Rusu I, et al. Orbital cellulitis and brain abscess—rare complications of maxillo-spheno-ethmoidal rhinosinusitis. Romanian journal of ophthalmology. 2017;61(2):133–6. Epub 2018/02/17. pmid:29450387
  5. 5. Poletti SC, Cuevas M, Weile S, Hummel T. Trigeminal sensitivity in chronic rhinosinusitis: topographical differences and the effect of surgery. Rhinology. 2017;55(1):70–4. Epub 2016/12/28. pmid:28026837.
  6. 6. Saliba J, Fnais N, Tomaszewski M, Carriere JS, Frenkiel S, Frasnelli J, et al. The role of trigeminal function in the sensation of nasal obstruction in chronic rhinosinusitis. The Laryngoscope. 2016;126(5):E174–8. Epub 2016/03/02. pmid:26926075.
  7. 7. Park DY, Baek BJ. Superior Branch Palsy of the Oculomotor Nerve Caused by Frontal Sinusitis. The Journal of craniofacial surgery. 2016;27(3):e248–9. Epub 2016/04/22. pmid:27100635.
  8. 8. Fokkens WJ, Lund VJ, Mullol J, Bachert C, Alobid I, Baroody F, et al. European Position Paper on Rhinosinusitis and Nasal Polyps 2012. Rhinology Supplement. 2012;23:3 p preceding table of contents, 1–298. Epub 2012/07/07. pmid:22764607.
  9. 9. Tan BK, Lane AP. Endoscopic sinus surgery in the management of nasal obstruction. Otolaryngologic clinics of North America. 2009;42(2):227–40, vii. Epub 2009/03/31. pmid:19328888.
  10. 10. Ramakrishnan VR, Kennedy DW. Advances in the surgical management of chronic sinusitis and nasal polyps. Current allergy and asthma reports. 2011;11(3):220–9. Epub 2011/02/09. pmid:21302005.
  11. 11. Welch KC, Stankiewicz JA. A contemporary review of endoscopic sinus surgery: techniques, tools, and outcomes. The Laryngoscope. 2009;119(11):2258–68. Epub 2009/09/01. pmid:19718751.
  12. 12. Barac A, Pekmezovic M, Spiric VT, Trivic A, Marinkovic J, Pekic S, et al. Chronic rhinosinusitis: association of recalcitrant nasal polyposis and fungal finding in polyp’s single-cell suspension. European archives of oto-rhino-laryngology: official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS): affiliated with the German Society for Oto-Rhino-Laryngology—Head and Neck Surgery. 2015;272(12):3727–34. Epub 2015/01/30. pmid:25631464.
  13. 13. Brooks SG, Trope M, Blasetti M, Doghramji L, Parasher A, Glicksman JT, et al. Preoperative Lund-Mackay computed tomography score is associated with preoperative symptom severity and predicts quality-of-life outcome trajectories after sinus surgery. International forum of allergy & rhinology. 2018;8(6):668–75. Epub 2018/03/09. pmid:29517156
  14. 14. Cazzavillan A, Gaini RM, Pignataro L, Piacentini E, Leo G. Treatment of rhinosinusitis: the role of surgery. International journal of immunopathology and pharmacology. 2010;23(1 Suppl):74–7. Epub 2010/02/16. pmid:20152087.
  15. 15. Chang YS, Chen PL, Hung JH, Chen HY, Lai CC, Ou CY, et al. Orbital complications of paranasal sinusitis in Taiwan, 1988 through 2015: Acute ophthalmological manifestations, diagnosis, and management. PloS one. 2017;12(10):e0184477. Epub 2017/10/04. pmid:28972988
  16. 16. Del Noce C, Marchi F, Sollini G, Iester M. Swollen Optic Disc and Sinusitis. Case reports in ophthalmology. 2017;8(2):421–4. Epub 2017/09/20. pmid:28924440
  17. 17. Koh YN, Ho SF, Pathma L, Singh H, Zunaina E. Orbital apex cyst: a rare cause of compressive optic neuropathy post-functional endoscopic sinus surgery. International medical case reports journal. 2017;10:263–9. Epub 2017/08/18. pmid:28814902
  18. 18. Tong J, Jefferson N, Chaganti J, Fraser CL. Compressive Optic Neuropathy from Allergic Fungal Sinusitis. Neuro-ophthalmology (Aeolus Press). 2015;39(5):236–9. Epub 2015/08/21. pmid:27928361
  19. 19. Kim YH, Kim J, Kang MG, Lee DH, Chin HS, Jang TY, et al. Optic nerve changes in chronic sinusitis patients: Correlation with disease severity and relevant sinus location. PloS one. 2018;13(7):e0199875. Epub 2018/07/11. pmid:29990384
  20. 20. Xiong M, Moy WL. Orbital Apex Syndrome Resulting from Mixed Bacterial Sphenoid Sinusitis. European journal of case reports in internal medicine. 2018;5(7):000905. Epub 2019/02/14. pmid:30756053
  21. 21. Pfeiffer ML, Merritt HA, Bailey LA, Richani K, Phillips ME. Orbital apex syndrome from bacterial sinusitis without orbital cellulitis. American journal of ophthalmology case reports. 2018;10:84–6. Epub 2018/02/23. pmid:29468204
  22. 22. Neo WL, Chin DCW, Huang XY. Rhinogenous optic neuritis with full recovery of vision—The role of endoscopic optic nerve decompression and a review of literature. American journal of otolaryngology. 2018;39(6):791–5. Epub 2018/09/12. pmid:30201585.
  23. 23. Costello F. Inflammatory optic neuropathies. Continuum (Minneapolis, Minn). 2014;20(4 Neuro-ophthalmology):816–37. Epub 2014/08/08. pmid:25099096.
  24. 24. Ramakrishnan VR, Gonzalez JR, Cooper SE, Barham HP, Anderson CB, Larson ED, et al. RNA sequencing and pathway analysis identify tumor necrosis factor alpha driven small proline-rich protein dysregulation in chronic rhinosinusitis. American journal of rhinology & allergy. 2017;31(5):283–8. Epub 2017/09/02. pmid:28859701
  25. 25. Olcott CM, Han JK, Cunningham TD, Franzese CB. Interleukin-9 and interleukin-17C in chronic rhinosinusitis. International forum of allergy & rhinology. 2016;6(8):841–7. Epub 2016/03/19. pmid:26989880.
  26. 26. Gurrola J 2nd, Borish L. Chronic rhinosinusitis: Endotypes, biomarkers, and treatment response. The Journal of allergy and clinical immunology. 2017;140(6):1499–508. Epub 2017/11/07. pmid:29106996.
  27. 27. Stunkel L, Van Stavern GP. Steroid Treatment of Optic Neuropathies. Asia-Pacific journal of ophthalmology (Philadelphia, Pa). 2018;7(4):218–28. Epub 2018/07/03. pmid:29962119.
  28. 28. Sedaghat AR. Chronic Rhinosinusitis. American family physician. 2017;96(8):500–6. Epub 2017/11/03. pmid:29094889.
  29. 29. Soelberg K, Jarius S, Skejoe H, Engberg H, Mehlsen JJ, Nilsson AC, et al. A population-based prospective study of optic neuritis. Multiple sclerosis (Houndmills, Basingstoke, England). 2017;23(14):1893–901. Epub 2017/10/06. pmid:28980518.
  30. 30. Petzold A, Plant GT. Diagnosis and classification of autoimmune optic neuropathy. Autoimmunity reviews. 2014;13(4–5):539–45. Epub 2014/01/16. pmid:24424177.
  31. 31. Woung LC, Lin CH, Tsai CY, Tsai MT, Jou JR, Chou P. Optic neuritis among National Health Insurance enrollees in Taiwan, 2000–2004. Neuroepidemiology. 2007;29(3–4):250–4. Epub 2008/01/08. pmid:18176082.
  32. 32. Ramm L, Schwab B, Stodtmeister R, Hammer M, Sauer L, Sporl E, et al. Assessment of Optic Nerve Head Pallor in Primary Open-Angle Glaucoma Patients and Healthy Subjects. Current eye research. 2017;42(9):1313–8. Epub 2017/05/31. pmid:28557580.
  33. 33. Shin IH, Lee WH, Lee JJ, Jo YJ, Kim JY. THICKNESS OF THE MACULA, RETINAL NERVE FIBER LAYER, AND GANGLION CELL-INNER PLEXIFORM LAYER IN THE AGE-RELATED MACULAR DEGENERATION: The Repeatability Study of Spectral Domain Optical Coherence Tomography. Retina (Philadelphia, Pa). 2018;38(2):253–62. Epub 2017/02/01. pmid:28141749.
  34. 34. Renner M, Stute G, Alzureiqi M, Reinhard J, Wiemann S, Schmid H, et al. Optic Nerve Degeneration after Retinal Ischemia/Reperfusion in a Rodent Model. Frontiers in cellular neuroscience. 2017;11:254. Epub 2017/09/08. pmid:28878627
  35. 35. Jin YP, de Pedro-Cuesta J, Soderstrom M, Stawiarz L, Link H. Incidence of optic neuritis in Stockholm, Sweden 1990–1995: I. Age, sex, birth and ethnic-group related patterns. Journal of the neurological sciences. 1998;159(1):107–14. Epub 1998/08/13. pmid:9700712.
  36. 36. Kuo CL, Yen YC, Chang WP, Shiao AS. Association Between Middle Ear Cholesteatoma and Chronic Rhinosinusitis. JAMA otolaryngology—head & neck surgery. 2017;143(8):757–63. Epub 2017/05/12. pmid:28494066
  37. 37. Cheng HC, Yeh HJ, Huang N, Chou YJ, Yen MY, Wang AG. Amiodarone-Associated Optic Neuropathy: A Nationwide Study. Ophthalmology. 2015;122(12):2553–9. Epub 2015/09/24. pmid:26391464.
  38. 38. Biousse V, Newman NJ. Diagnosis and clinical features of common optic neuropathies. The Lancet Neurology. 2016;15(13):1355–67. Epub 2016/11/15. pmid:27839652.