Literature DB >> 30068311

Epidemiology of uveitis (2013-2015) and changes in the patterns of uveitis (2004-2015) in the central Tokyo area: a retrospective study.

Shintaro Shirahama1, Toshikatsu Kaburaki2, Hisae Nakahara2, Rie Tanaka2, Mitsuko Takamoto3, Yujiro Fujino4, Hidetoshi Kawashima5, Makoto Aihara2.   

Abstract

BACKGROUND: The distribution of uveitis varies with genetic, ethnic, geographic, environmental, and lifestyle factors. Epidemiological information about the patterns of uveitis is useful when an ophthalmologist considers the diagnosis of uveitis. Therefore, it is important to identify the causes of uveitis over the years in different regions. The purposes of this study were to characterize the uveitis patients who first arrived at the University of Tokyo Hospital in 2013-2015, and to analyze the changes in the patterns of uveitis from 2004 to 2012 to 2013-2015.
METHODS: We retrospectively identified 750 newly arrived patients with uveitis who visited the Uveitis Clinic in the University of Tokyo Hospital between January 2013 and December 2015, using clinical records. We extracted data on patient age, sex, diagnosis, anatomic location of inflammation, laboratory test results of blood and urine, and chest X-ray and fluorescein fundus angiography findings for each patient. In addition, we compared these data with those from 2004 to 2012 to analyze the changes in the patterns of uveitis.
RESULTS: A definite diagnosis was established in 445 patients (59.3%). The most common diagnoses were herpetic iridocyclitis (7.5%), sarcoidosis (6.1%), Behçet's disease (4.4%), Vogt-Koyanagi-Harada disease (4.1%), and intraocular lymphoma (4.1%). The most frequent unclassified type of uveitis was suspected sarcoidosis (22.3%). Analysis of the changes in the patterns of uveitis in the central Tokyo area from 2004 to 2012 to 2013-2015 revealed notable increasing trends of herpetic iridocyclitis and intraocular lymphoma, and increasing trends of bacterial endophthalmitis, fungal endophthalmitis, and juvenile chronic iridocyclitis. In contrast, the frequency of sarcoidosis, Behçet's disease, and Vogt-Koyanagi-Harada disease decreased.
CONCLUSIONS: The patterns of uveitis changed considerably from 2004 to 2012 to 2013-2015. Continuous investigations about the epidemiology of uveitis are needed to diagnose uveitis more accurately.

Entities:  

Keywords:  Diagnosis; Epidemiology; Japan; Trend; Uveitis

Mesh:

Year:  2018        PMID: 30068311      PMCID: PMC6090933          DOI: 10.1186/s12886-018-0871-6

Source DB:  PubMed          Journal:  BMC Ophthalmol        ISSN: 1471-2415            Impact factor:   2.209


Background

Uveitis is a leading cause of visual blindness in developed countries [1]. Many studies have reported the patterns of uveitis in different countries and ethnicities [2-7]. The distribution of the types and etiologies of uveitis is influenced by genetic, ethnic, geographic, environmental, and lifestyle factors [8]. As a result, the patterns of uveitis vary greatly according to the population and the time of research. For example, one report from Taiwan presented data demonstrating that the incidences of herpetic anterior uveitis, acute retinal necrosis, and cytomegalovirus (CMV) retinitis have increased, while those of toxoplasmosis and tuberculosis have decreased [9], compared with findings of a previous study [10]. Therefore, it is important to analyze the epidemiology of this disease in various regions over time. In recent years, highly advanced diagnostic methods for uveitis, including optical coherent tomography and polymerase chain reaction (PCR) analysis for infectious agents using aqueous samples, have been developed. Consequently, the number of definite diagnoses has been gradually increasing [2]. However, a definite diagnosis can still not be reached in approximately 30–40% of patients newly diagnosed with uveitis [2, 4, 5, 11]. Region-specific information about the patterns of uveitis is helpful when the clinicians consider the diagnosis for newly arrived patients. There are many reports on this topic from both Japan and other countries [3–7, 12]. Previously, we have reported the patterns of newly arrived patients with uveitis at the University of Tokyo Hospital between 2004 and 2012 [2, 11]. In this institution, retrospective analysis of newly arrived patients with uveitis have been conducted over the past 50 years [2]. Therefore, we consider that the data from our hospital are representative of the changing patterns of uveitis in Japan. In the current study, we investigated the records of patients who visited the University of Tokyo Hospital during 2013–2015 and compared the results to those of our previous studies (2004–2012) [2, 11].

Methods

We retrospectively investigated the clinical records of 750 newly arrived patients with uveitis (363 men, 387 women) who first visited the Uveitis Clinic of the University of Tokyo Hospital (a tertiary referral center located in central Tokyo) between January 2013 and December 2015. Patients with uveitis who had first visited before 2012 due to uveitis were excluded from the study. Conversely, patients who had first visited our clinic before 2012 for other reasons and then presented with uveitis during the study period were included in this study. We collected clinicodemographic data, including age, sex, diagnosis, anatomic location of inflammation, laboratory test results of blood and urine, and chest X-ray and fluorescein fundus angiography findings from the patients’ clinical records. The ethics committee of the University of Tokyo Hospital allowed us to collect clinical data for this retrospective study. We adopted the uveitis classification method used in a nationwide investigation of uveitis conducted in 2009 in Japan [13]. The anatomic diagnosis was evaluated according to the classification of the Standardization of Uveitis (SUN) Working Group, as anterior uveitis, intermediate uveitis, posterior uveitis, or panuveitis [14]. All patients with uveitis underwent blood tests (peripheral blood count, erythrocyte sedimentation rate, serum angiotensin-converting enzyme, glucose, rheumatoid factor, immunoglobulin [Ig] A, IgG, IgM, antinuclear antibody (double-stranded deoxyribonucleic acid [DNA] antibody and single-stranded DNA antibody), calcium, blood urea nitrogen, creatinine, creatine kinase, rapid plasma regain, Treponema pallidum latex agglutination, anti-human T-cell lymphotropic virus type I [HTLV-1] antibody, C-reactive protein, globulin fraction, IgM and IgG of toxoplasma, herpes simplex virus [HSV], varicella zoster virus [VZV], and CMV), urine tests, chest X-ray examination, and the Mantoux reaction test at the initial presentation. Additionally, PCR tests, β-d-glucan, HLA, interferon gamma release assays, diagnostic vitrectomy, and fluorescein angiography were performed when specific uveitis diseases were suspected; those examinations might be useful for judging the diagnosis. Quantitative PCR using aqueous humor and blood cultures was conducted when infectious uveitis was suspected; serum β-d-glucan testing (for suspected fungal endophthalmitis) and human leukocyte antigen (HLA) typing (for suspected acute anterior uveitis or Behçet’s disease) were also performed. Interferon-gamma release assays were conducted when the Mantoux reaction test was strongly positive. Moreover, vitreous fluid examinations were conducted when intraocular lymphoma was suspected. If inflammation was suspected in retina and/or optic disc, fluorescein angiography was performed if the patient consented to the procedure. Information obtained from fluorescein angiography was used to determine the anatomical location of uveitis and the presence or absence of retinal vasculitis and/or chorioretinitis for consideration in differential diagnosis of uveitis. Behçet’s disease was diagnosed based on criteria established by the Behçet’s Disease Research Committee of Japan [15]. For sarcoidosis, we used the criteria established by the Japanese Society of Sarcoidosis and Other Granulomatous Disorders [16, 17]. For Vogt–Koyanagi–Harada disease (VKH), we adopted previously reported criteria [18]. For herpetic iritis [19], patients with active skin lesions associated with ophthalmic herpes zoster (i.e., the vesicular rash involving the periocular skin, such as the eyelids, medial canthal area, or the tip of the nose, known as Hutchinson’s sign) were clinically diagnosed and classified as VZV iritis. Patients without a skin lesion were subjected to PCR assays for HSV, VZV, and CMV DNA using anterior chamber fluid. The presence of > 100 copies/mL of viral DNA were judged as a positive finding. Patients with negative PCR results for HSV, VZV, and CMV DNA, and good response to anti-herpetic treatment were classified as herpetic iridocyclitis (clinical diagnosis), while those who did not undergo PCR assays were classified as suspected herpetic iritis. The diagnoses of bacterial and fungal endophthalmitis were based on matching of ocular symptoms suggesting bacterial or fungal etiology, the results of laboratory tests (blood culture, serum β-d-glucan), detection of bacterial or fungal DNA in aqueous humor samples by broad-range PCR [20, 21], and a response to antibiotics or antifungal drugs. As for intraocular lymphoma, we diagnosed this disease if at least two of the following four criteria were met: cytology >class 3, interleukin (IL)-10/IL-6 ratio > 1 or IL-10 > 50 pg/mL in the intraocular fluid [22], κ/λ ratio on fluorescence-activated cell sorting analysis, and positive PCR results for immunoglobulin heavy chain (IgH) gene rearrangement [23]. Regarding acute anterior uveitis (AAU), patients with unique symptoms of ankylosing spondylitis, ulcerative colitis, or psoriasis were diagnosed as having systemic disease-associated uveitis. Those with HLA-B27 were diagnosed as AAU, while those without HLA-B27 or with unknown HLA typing were diagnosed as unclassified uveitis. We diagnosed ocular tuberculosis based on a combination of ocular symptoms indicating tuberculous etiology, laboratory tests, and response to anti-tuberculosis therapy. Consequently, we used the diagnostic criteria for presumed ocular tuberculosis [24]. The diagnostic criteria for diabetic iritis in this study were (1) acute severe iridocyclitis in patients with poor glycemic control (HbA1c ≥ 8.0%) and (2) other investigations for systemic disease associated with uveitis were negative [25]. For HTLV-1 [26], acute zonal occult outer retinopathy (AZOOR) [27], and rubella virus-associated uveitis [28], we adopted the criteria described in previous reports [26-28]. Juvenile chronic iridocyclitis was diagnosed by the typical ocular findings and clinical courses, as described in a previous report [29]. Statistical analyses were performed using the χ-squared test in SPSS for Windows, version 14.0 (SPSS Inc., Chicago, IL, USA). We compared the frequency of each disease between 2013 and 2015 with those between 2004 and 2012. A p value < 0.05 was considered statistically significant.

Results

Figure 1 shows the age distribution of the patients with uveitis that visited our institution between 2013 and 2015. The mean age was 56.4 ± 18.5 years (men: 56.9 ± 18.9 years, women: 56.1 ± 18.9 years). The most common age category was 60–69 years for both men and women. Among a total of 750 newly arrived patients with uveitis, 445 patients (59.3%) received a definite diagnosis. Table 1 presents the distribution of patients who were given a definite diagnosis. The three most common diagnoses were herpetic iridocyclitis (HSV, VZV, and CMV) in 56 patients (7.5%), sarcoidosis in 46 (6.1%), and Behçet’s disease in 31 (4.4%).
Fig. 1

Distribution of 750 patients with uveitis from 2013 to 2015 by age and sex Uveitis was more frequent in the age group of 60–69 years among both men and women

Table 1

Distribution of uveitis among new patients (2013–2015)

Patient diagnosisNo. of patientsSex
No.%MaleFemale
Herpetic iridocyclitis567.54313
Sarcoidosis466.11333
Behçet’s disease334.41716
Vogt–Koyanagi–Harada disease314.11219
Intraocular lymphoma314.12110
Posner–Schlossman syndrome253.31510
Bacterial endophthalmitis233.1914
Fuchs heterochromic iridocyclitis202.7119
Juvenile chronic iridocyclitis172.3413
Fungal endophthalmitis162.1115
Acute anterior uveitis141.986
Acute retinal necrosis131.758
HTLV-1-associated uveitis131.758
Cytomegalovirus retinitis101.364
Tuberculosis91.263
AZOOR81.135
MEWDS81.135
Psoriatic uveitis70.943
Neuroretinitis60.833
Lens induced uveitis60.824
Toxoplasma60.851
IBD50.741
APMPPE40.513
Diabetic iridocyclitis40.540
Systemic lupus erythematosus40.504
Syphilis30.421
Rubella30.421
Ankylosing spondylitis20.320
Immune reconstitution syndrome20.302
JIA20.302
Multifocal choroiditis20.311
RA20.302
Sympathetic ophthalmia20.311
Geographic chorioretinopathy20.311
Multiple sclerosis20.302
Sclerouveitis due to scleroderma20.302
CAR10.101
PIC10.110
UAIM10.101
Iridocyclitis due to nivolumab10.101
Cat scratch disease10.101
Polymyalgia rheumatica10.101
Unclassified uveitis30538.4138167
Total750363387

HTLV-1 human T lymphotropic virus type-1, AZOOR acute zonal occult outer retinopathy, MEWDS multiple evanescent white dot syndrome, IBD inflammatory bowel disease, APMPPE acute posterior multifocal placoid pigment epitheliopathy, JIA juvenile idiopathic arthritis, RA rheumatoid arthritis, CAR cancer-associated retinopathy, PIC punctate inner choroidopathy, UAIM unilateral acute idiopathic maculopathy

Distribution of 750 patients with uveitis from 2013 to 2015 by age and sex Uveitis was more frequent in the age group of 60–69 years among both men and women Distribution of uveitis among new patients (2013–2015) HTLV-1 human T lymphotropic virus type-1, AZOOR acute zonal occult outer retinopathy, MEWDS multiple evanescent white dot syndrome, IBD inflammatory bowel disease, APMPPE acute posterior multifocal placoid pigment epitheliopathy, JIA juvenile idiopathic arthritis, RA rheumatoid arthritis, CAR cancer-associated retinopathy, PIC punctate inner choroidopathy, UAIM unilateral acute idiopathic maculopathy Patients with herpetic iridocyclitis were divided into five groups by diagnostic method. Of these, CMV DNA positivity was the most common diagnostic method (n = 34, 60.7%), followed by skin lesions of herpes zoster ophthalmicus (n = 12, 21.4%), VZV DNA positivity (n = 5, 8.9%), HSV DNA positivity (n = 3, 5.4%), and clinical diagnosis only (n = 2, 3.6%) (Table 2).
Table 2

Diagnostic methods for herpetic iritis

Diagnostic methodNo. of patients (%)
Clinical diagnosis only2 (3.6)
Skin lesions of herpes zoster ophthalmicus and granulomatous iridocyclitis12 (21.4)
Herpes simplex virus detection with PCR using aqueous humor3 (5.4)
Varicella zoster virus detection with PCR using aqueous humor5 (8.9)
Cytomegalovirus detection with PCR using aqueous humor34 (60.7)

PCR polymerase chain reaction

Diagnostic methods for herpetic iritis PCR polymerase chain reaction Table 3 shows the distributions of patients with uveitis according to three age groups (< 20 years, 20–59 years, and ≥ 60 years). In these patients, juvenile chronic iridocyclitis, Behçet’s disease, and herpetic iridocyclitis were the most common diagnoses, respectively. Definite diagnoses were not made for the remaining 305 patients (39.1%). Among these patients, suspected sarcoidosis was the most frequent diagnosis (n = 167, 22.3%), which accounted for 54.8% of all suspected diagnoses.
Table 3

Frequency of new patients with uveitis (2013–2015) by age

< 20 years (n = 31)No. of patients (%)20–59 years (n = 358)No. of patients (%)≥60 years (n = 409)No. of patients (%)
Juvenile chronic iridocyclitis11 (35.5)Behçet’s disease24 (7.1)Herpetic iridocyclitis37 (9.7)
Fuchs heterochronic iridocyclitis3 (9.7)Herpetic iridocyclitis19 (5.7)Sarcoidosis27 (7.0)
Bechet disease3 (9.7)Sarcoidosis19 (5.7)Intraocular lymphoma27 (7.0)
Posner-Schlossman syndrome2 (6.5)Vogt-Koyanagi-Harada disease16 (4.8)Bacterial endophthalmitis20 (5.2)
HTLV-1-associated uveitis1 (3.2)Posner-Schlossman syndrome13 (3.9)Vogt-Koyanagi-Harada disease14 (3.7)
JIA1 (3.2)Acute anterior uveitis12 (3.6)Fungal endophthalmitis12 (3.1)
Cat scratch disease1 (3.2)Fuchs heterochromic iridocyclitis10 (3.0)HTLV-1-associated uveitis11 (2.9)
Cytomegalovirus retinitis1 (3.2)MEWDS8 (2.4)Posner-Schlossman syndrome10 (2.6)
Vogt-Koyanagi-Harada disease1 (3.2)AZOOR7 (2.1)Cytomegalovirus retinitis8 (2.1)
Toxoplasma1 (3.2)Juvenile chronic iridocyclitis6 (1.8)Fuchs heterochromic iridocyclitis7 (1.8)
Unknown6 (19.4)Acute retinal necrosis6 (1.8)Acute retinal necrosis7 (1.8)
Tuberculosis6 (1.8)Lens induced uveitis6 (1.6)
IBD5 (1.5)Behçet’s disease6 (1.6)
Systemic lupus erythematosus4 (1.2)Diabetic iridocyclitis4 (1.0)
Psoriatic uveitis4 (1.2)Psoriatic uveitis3 (0.8)
Intraocular lymphoma4 (1.2)Tuberculosis3 (0.8)
Neuroretinitis4 (1.2)Syphilis3 (0.8)
Fungal endophthalmitis4 (1.2)APMPPE3 (0.8)
Toxoplasma3 (0.9)Toxoplasma2 (0.5)
Bacterial endophthalmitis3 (0.9)Acute anterior uveitis2 (0.5)
Rubella virus-associated uveitis3 (0.9)Sympathetic ophthalmia2 (0.5)
Multiple sclerosis2 (0.6)Neuroretinitis2 (0.5)
Ankylosing spondylitis2 (0.6)AZOOR1 (0.3)
Multifocal choroiditis and panuveitis2 (0.6)CAR1 (0.3)
APMPPE1 (0.3)Immune reconstitution syndrome1 (0.3)
Cytomegalovirus retinitis1 (0.3)Polymyalgia rheumatica1 (0.3)
Immune reconstitution syndrome1 (0.3)RA1 (0.3)
HTLV-1-associated uveitis1 (0.3)Sclerouveitis due to scleroderma1 (0.3)
JIA1 (0.3)Geographic chorioretinopathy1 (0.3)
PIC1 (0.3)Unknown160 (41.8)
RA1 (0.3)
UAIM1 (0.3)
Iridocyclitis due to nivolumab1 (0.3)
Sclerouveitis due to scleroderma1 (0.3)
Geographic chorioretinopathy1 (0.3)
Unknown139 (41.4)
Total31Total336Total383

HTLV-1 human T lymphotropic virus type-1, AZOOR acute zonal occult outer retinopathy, MEWDS multiple evanescent white dot syndrome, IBD inflammatory bowel disease, APMPPE acute posterior multifocal placoid pigment epitheliopathy, JIA juvenile idiopathic arthritis, RA rheumatoid arthritis, CAR cancer-associated retinopathy, PIC punctate inner choroidopathy, UAIM unilateral acute idiopathic maculopathy

Frequency of new patients with uveitis (2013–2015) by age HTLV-1 human T lymphotropic virus type-1, AZOOR acute zonal occult outer retinopathy, MEWDS multiple evanescent white dot syndrome, IBD inflammatory bowel disease, APMPPE acute posterior multifocal placoid pigment epitheliopathy, JIA juvenile idiopathic arthritis, RA rheumatoid arthritis, CAR cancer-associated retinopathy, PIC punctate inner choroidopathy, UAIM unilateral acute idiopathic maculopathy Table 4 shows the distribution of uveitis categorized by anatomical location (anterior uveitis, intermediate uveitis, posterior uveitis, and panuveitis). In this study, 289 out of 750 patients (38.5%) had anterior uveitis, 12 (1.6%) had intermediate uveitis, 94 (12.5%) had posterior uveitis, and 355 (47.3%) had panuveitis. The distribution of uveitis according to anatomical site did not differ from that in our previous studies [2].
Table 4

Shifts in the distribution of anatomic localization of uveitis (2004–2015) [2, 11]

Period2004–2006a2007–2009a2010–2012b2013–2015
New patients (n)426535695750
 Anterior uveitis48.8%48.0%50.1%38.5%
 Intermediate uveitis1.6%1.6%
 Posterior uveitis9.6%15.7%13.4%12.5%
 Panuveitis41.5%36.3%35.0%47.3%

aThe classification of the International Ocular Inflammation Society (IOIS) was adopted. Intermediate uveitis is included in the definition of posterior uveitis [27]

bThe classification of the Standardization of Uveitis Nomenclature (SUN) [14] was adopted

Shifts in the distribution of anatomic localization of uveitis (2004–2015) [2, 11] aThe classification of the International Ocular Inflammation Society (IOIS) was adopted. Intermediate uveitis is included in the definition of posterior uveitis [27] bThe classification of the Standardization of Uveitis Nomenclature (SUN) [14] was adopted Table 5 shows the shifting numbers and distributions of the uveitis cases diagnosed at the University of Tokyo Hospital over 12 years. Compared with our previous studies since 2004 [2, 11], the present analysis showed that the incidences of herpetic iridocyclitis, intraocular lymphoma, bacterial endophthalmitis, fungal endophthalmitis, and juvenile chronic iridocyclitis have been increasing. Additionally, sarcoidosis, Behçet’s disease, and VKH disease have been decreasing in recent years. However, the increases or decreases of these disease frequencies were not statistically significant (p > 0.05 for all).
Table 5

Shifts in the number and distribution (%) of diagnosed uveitis cases (2004–2015) [2, 11]

Diagnosis2004–20062007–20092010–20122013–2015
Herpetic iridocyclitis20 (4.7)28 (5.2)38 (5.5)56 (7.5)
Sarcoidosis37 (8.7)44 (8.2)56 (8.1)46 (6.1)
Behçet’s disease21 (4.9)26 (4.9)32 (4.6)33 (4.4)
Vogt–Koyanagi–Harada disease27 (6.3)37 (6.9)28 (4.0)31 (4.1)
Intraocular lymphoma4 (0.9)13 (2.4)21 (3.0)31 (4.1)
Posner–Schlossman syndrome19 (4.5)20 (3.7)25 (3.6)25 (3.3)
Bacterial endophthalmitis2 (0.5)10 (1.9)13 (1.9)23 (3.1)
Fuchs heterochromic iridocyclitis9 (2.1)10 (1.9)11 (1.6)20 (2.7)
Juvenile chronic iridocyclitis3 (0.7)7 (1.3)11 (1.6)17 (2.3)
Others90 (21.1)100 (18.7)138 (20.0)163 (21.7)
Unclassified uveitis147 (34.5)173 (32.3)264 (38.0)305 (40.7)
Total426535695750

The data are presented as no. of patients (%)

Shifts in the number and distribution (%) of diagnosed uveitis cases (2004–2015) [2, 11] The data are presented as no. of patients (%) Table 6 reports the distribution of the age of patients at the first visit in this study (2013–2015) and previous studies (2004–2006, 2007–2009, and 2010–2012). The average ages of new patients were 52.0, 51.6, 53.6, and 56.4 years, respectively, indicating that the average age has been gradually increasing.
Table 6

Shifts in the numbers of new patients with uveitis according to age (2004–2015) [2, 11]

Age (years)2004–20062007–20092010–20122013–2015
< 2011 (2.6)26 (4.9)29 (4.2)31 (3.9)
20–59251 (58.9)308 (57.6)354 (50.9)336 (44.8)
≥60164 (38.5)201 (37.6)312 (44.9)383 (51.1)
Total426535695750

The data are presented as no. of patients (%)

Shifts in the numbers of new patients with uveitis according to age (2004–2015) [2, 11] The data are presented as no. of patients (%)

Discussion

In this study, the most frequent uveitis categories in patients aged < 20, 20–59, and ≥ 60 years were juvenile chronic iridocyclitis, Behçet’s disease, and herpetic iridocyclitis, respectively. A previous study conducted in our hospital (2010–2012) showed that the most frequent types of uveitis in the same age groups were juvenile chronic iridocyclitis, Behçet’s disease, and sarcoidosis, respectively [11]. In comparison with the findings of the previous study, an increase in the incidence of herpetic iridocyclitis in patients aged ≥60 years was observed. A possible reason for this new finding might be the progression of aging in Japan [30]. In fact, the incidence of infections, such as herpes zoster, in the elderly has been shown to be increasing in other countries as well [31]. Compared with the previous studies from our hospital [2, 11], the ratios of herpetic iridocyclitis (7.5%), intraocular lymphoma (4.1%), bacterial endophthalmitis (3.1%), fungal endophthalmitis (2.1%), and juvenile chronic iridocyclitis (2.3%) were increased in this study. We speculated that the increase of herpetic iridocyclitis patients may be attributed to the recurring use of PCR assays for HSV, VZV, and CMV DNA using anterior chamber fluid. The increase in intraocular lymphoma may be due to two reasons. First, that we passively conducted diagnostic vitrectomy for patients suspected of having intraocular lymphoma. Second, that there has been an increase in the number of patients with primary central nervous system lymphoma [32]. The increases of patients with bacterial and fungal endophthalmitis were considered to be due to advances in the relevant diagnostic methods. Broad-range real-time PCR for bacterial DNA [19] and fungus DNA [20] were employed using both anterior chamber fluid and vitreous fluid. Moreover, the increase of juvenile chronic iridocyclitis might be related to the increasing number of patients aged < 20 years old in our hospital. In Japan, juvenile chronic iridocyclitis was not commonly associated with juvenile idiopathic arthritis [33]. The number of patients with juvenile chronic iridocyclitis without juvenile idiopathic arthritis in this study was also larger than the number of patients with both juvenile chronic iridocyclitis and juvenile idiopathic arthritis. Notably, the ratios of scleritis, sarcoidosis, Behçet’s disease, and VKH have been gradually decreasing over the past years in our institution. We cannot find adequate reasons for the decreasing frequencies of these diseases. Another interesting finding of this study is the trend for increasing age of newly arrived patients with uveitis. Compared to the data from 2004 to 2006, the average age of the patients with uveitis in the current study (2013–2015) was 4.6 years higher. A possible reason for the older age of patients with uveitis might be the rapid aging of the Japanese population [30]. Thus, it can be expected that the frequencies of herpetic iridocyclitis and intraocular lymphoma will be further increasing in the future in Japan. Indeed, the average age of patients with herpetic iridocyclitis or intraocular lymphoma in the current study was 62.5 ± 14.8 years and 72.0 ± 12.0 years, respectively. Further studies should be continued to clarify the trends of the patterns of uveitis. The limitations of this study include its retrospective design, that it was conducted in a tertiary referral center, and that the study period was only 3 years. However, 750 patients were included in this study, and we believe that the current study’s findings could reflect the current trends of uveitis in Japan.

Conclusions

The recent patterns of uveitis in the central Tokyo area revealed increasing trends of herpetic iridocyclitis and intraocular lymphoma. Because the patterns of uveitis are continuously changing, ongoing investigations of the predominant types of uveitis are needed.
  32 in total

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Authors:  P J Francis; A Marinescu; F W Fitzke; A C Bird; G E Holder
Journal:  Br J Ophthalmol       Date:  2005-01       Impact factor: 4.638

2.  Epidemiology of uveitis in a Western urban multiethnic population. The challenge of globalization.

Authors:  Victor Llorenç; Marina Mesquida; Maite Sainz de la Maza; Johannes Keller; Blanca Molins; Gerard Espinosa; María V Hernandez; Julian Gonzalez-Martín; Alfredo Adán
Journal:  Acta Ophthalmol       Date:  2015-02-15       Impact factor: 3.761

3.  Broad-range real-time PCR assay for detection of bacterial DNA in ocular samples from infectious endophthalmitis.

Authors:  Manabu Ogawa; Sunao Sugita; Norio Shimizu; Ken Watanabe; Ichiro Nakagawa; Manabu Mochizuki
Journal:  Jpn J Ophthalmol       Date:  2012-08-31       Impact factor: 2.447

4.  Uveitis in the southeastern United States.

Authors:  P T Merrill; J Kim; T A Cox; C C Betor; R M McCallum; G J Jaffe
Journal:  Curr Eye Res       Date:  1997-09       Impact factor: 2.424

5.  Revised diagnostic criteria for Vogt-Koyanagi-Harada disease: report of an international committee on nomenclature.

Authors:  R W Read; G N Holland; N A Rao; K F Tabbara; S Ohno; L Arellanes-Garcia; P Pivetti-Pezzi; H H Tessler; M Usui
Journal:  Am J Ophthalmol       Date:  2001-05       Impact factor: 5.258

6.  Epidemiological survey of intraocular inflammation in Japan.

Authors:  Hiroshi Goto; Manabu Mochizuki; Kunihiko Yamaki; Satoshi Kotake; Masahiko Usui; Shigeaki Ohno
Journal:  Jpn J Ophthalmol       Date:  2007-02-09       Impact factor: 2.447

7.  Frequency of Uveitis in the Central Tokyo Area (2010-2012).

Authors:  Hisae Nakahara; Toshikatsu Kaburaki; Rie Tanaka; Mitsuko Takamoto; Kazuyoshi Ohtomo; Ayako Karakawa; Keiko Komae; Kimiko Okinaga; Junko Matsuda; Yujiro Fujino
Journal:  Ocul Immunol Inflamm       Date:  2016-03-08       Impact factor: 3.070

8.  Tuberculous uveitis, a resurgent and underdiagnosed disease.

Authors:  Luca Cimino; Carl P Herbort; Raffaella Aldigeri; Carlo Salvarani; Luigi Boiardi
Journal:  Int Ophthalmol       Date:  2007-05-08       Impact factor: 2.031

9.  Frequency and clinical features of intraocular inflammation in Tokyo.

Authors:  Hiroshi Keino; Chikae Nakashima; Takayo Watanabe; Wakako Taki; Ruriko Hayakawa; Atsuhiko Sugitani; Annabelle A Okada
Journal:  Clin Exp Ophthalmol       Date:  2009-08       Impact factor: 4.207

Review 10.  Standardization of uveitis nomenclature for reporting clinical data. Results of the First International Workshop.

Authors:  Douglas A Jabs; Robert B Nussenblatt; James T Rosenbaum
Journal:  Am J Ophthalmol       Date:  2005-09       Impact factor: 5.258

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  9 in total

1.  Clinical features of uveitis in elderly patients in central Tokyo (2013-2018).

Authors:  Shintaro Shirahama; Hirotsugu Soga; Rie Tanaka; Hisako Fukunaga; Hidetomo Izawa; Keiko Komae; Hisae Nakahara; Hidetoshi Kawashima; Makoto Aihara; Toshikatsu Kaburaki
Journal:  Int Ophthalmol       Date:  2021-02-05       Impact factor: 2.031

2.  Clinical Features of Japanese Patients with Ocular Inflammation and Their Surgical Procedures Over the Course of 20 Years.

Authors:  Nanae Takai; Takatoshi Kobayashi; Teruyo Kida; Tsunehiko Ikeda
Journal:  Clin Ophthalmol       Date:  2020-09-24

3.  Retinal Proteomic Analysis in a Mouse Model of Endotoxin-Induced Uveitis Using Data-Independent Acquisition-Based Mass Spectrometry.

Authors:  Jing Zhang; Jiangmei Wu; Daqian Lu; Chi-Ho To; Thomas Chuen Lam; Bin Lin
Journal:  Int J Mol Sci       Date:  2022-06-09       Impact factor: 6.208

Review 4.  Potential applications of artemisinins in ocular diseases.

Authors:  Bing-Wen Lu; Li-Ke Xie
Journal:  Int J Ophthalmol       Date:  2019-11-18       Impact factor: 1.779

5.  Comparison of visual field defect progression in secondary Glaucoma due to anterior uveitis caused by three types of herpes viruses.

Authors:  Shintaro Shirahama; Toshikatsu Kaburaki; Sachiko Takada; Hisae Nakahara; Rie Tanaka; Keiko Komae; Yujiro Fujino; Hidetoshi Kawashima; Makoto Aihara
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-12-12       Impact factor: 3.117

6.  Yet another case of ocular sarcoidosis.

Authors:  Doan Luong Hien; Neil Onghanseng; Than Trong Tuong Ngoc; Jaclyn Joyce Hwang; Brandon Huy Pham; Huy Luong Doan; Huy V Nguyen; Muhammad Sohail Halim; Gunay Uludag; Yasir J Sepah; Diana V Do; Quan Dong Nguyen
Journal:  Am J Ophthalmol Case Rep       Date:  2020-07-11

7.  Visual outcomes and choroidal thickness associated with human leukocyte antigen DRB1*04 in unclassifiable uveitis in Japanese patients.

Authors:  Norihiko Misawa; Mizuki Tagami; Atsushi Sakai; Takeya Kohno; Shigeru Honda
Journal:  BMC Ophthalmol       Date:  2021-12-28       Impact factor: 2.209

Review 8.  Sarcoid Uveitis: An Intriguing Challenger.

Authors:  Pia Allegri; Sara Olivari; Federico Rissotto; Roberta Rissotto
Journal:  Medicina (Kaunas)       Date:  2022-07-04       Impact factor: 2.948

Review 9.  Immunopathophysiology and clinical impact of uveitis in inflammatory rheumatic diseases: An update.

Authors:  Elvis Hysa; Carlo Alberto Cutolo; Emanuele Gotelli; Greta Pacini; Carlotta Schenone; Elke O Kreps; Vanessa Smith; Maurizio Cutolo
Journal:  Eur J Clin Invest       Date:  2021-05-05       Impact factor: 4.686

  9 in total

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