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Assessment of anxiety and depression in patients with Posner-Schlossman syndrome

BMC Ophthalmology volume 23, Article number: 287 (2023) Cite this article

Abstract

Background

To assess the anxiety and depression levels in patients with Posner-Schlossman syndrome (PSS) and to determine the potential risk factors.

Methods

In this cross-sectional study, a total of 195 participants, including 93 PSS patients and 102 healthy controls were recruited. Sociodemographic and clinical information were collected for all participants. Hospital Anxiety and Depression scale (HADS) was administered to evaluate the anxiety and depression levels. Visual function (VF) and quality-of-life (QOL) questionnaires were administered to assess variables potentially associated with anxiety and depression.

Results

Increased anxiety level was observed in 22 (23.7%) PSS patients as compared to 10 (9.8%) of controls (P = 0.009). While the frequency of depression between the two groups was not significantly different (P = 0.349). The mean anxiety and depression scores were 6.98 ± 4.20 and 6.44 ± 3.66 in PSS patients as compared to 6.67 ± 3.21 (P = 0.564) and 5.96 ± 2.93 (P = 0.311) in controls. Logistic regression analysis showed mental well-being was significantly associated with anxiety (odds ratio [OR] = 0.920, 95% confidence interval [CI] = 0.881–0.962, P < 0.001) and depression (OR = 0.959, CI = 0.926–0.994, P = 0.023) in PSS patients.

Conclusion

More patients with PSS may experience anxiety as compared to healthy controls. Mental well-being is an independent risk factor for anxiety and depression. It is important for ophthalmologists to be aware of these factors and should pay more attention on mental health when PSS is managed in clinic.

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Background

Posner-Schlossman syndrome (PSS), also known as glaucomatocyclitic crisis, is characterized by unilateral recurrent episodes of acute elevated intraocular pressure (IOP) and mild non-granulomatous anterior uveitis [1, 2]. Chronic and recurrent PSS episodes are more vulnerable to glaucomatous optic neuropathy, which can potentially lead to irreversible vision loss that affects a patient’s vision-related quality of life (QOL) [1, 3].

Many ocular diseases including glaucoma [4], Behect’s disease [5], diabetic retinopathy [6] and dry eye [7] have been reported to be associated with psychological disorders such as anxiety and depression [4]. This in-turn, is associated with decreased treatment compliance, poorer health and disease outcomes, and lower QOL [8, 9]. Some researchers have suggested that patients would benefit from treatment of anxiety and/or depression based on such associations [7]. However, there have been few studies to determine the association between PSS and both anxiety and depression.

The psychological effects of ocular diseases are insidious and often underestimated [10]. On the one hand, patients with combined mental and ocular illness experience social stigma and discrimination that may impact their lives and affect their health-seeking behaviour [11]. On the other hand, ophthalmologists lack sufficient awareness and knowledge about the impact of chronic ocular diseases on mental health [12]. These factors may result in under-treatment of the psychological comorbidities associated with chronic ocular diseases like PSS. As PSS affects young adults and often leads to multiple hospital visits and economic strain on the patients, it is relevant to investigate the relationship between PSS and psychological state to reassess current clinical management of PSS and to improve the treatment compliance, disease, and QOL outcomes.

Thus, the purpose of the present study was to determine and compare the anxiety and depression levels in patients with PSS and healthy controls. The study, additionally, evaluates the sociodemographic and clinical factors that may contribute to anxiety and depression in patients with PSS.

Methods

Participants

In this cross-sectional study, PSS patients were recruited based on the diagnosis of their medical files from Department of Ophthalmology of the Eye & ENT Hospital from January 2018 to December 2019. Healthy controls were age and gender matched healthy volunteers. PSS diagnosis was based on the following clinical features: (a) characteristic recurrent mild, unilateral, non-granulomatous anterior uveitis; (b) transient episode of elevated IOP with blurred vision; (c) discrete, round, white nonpigmented keratic precipitates (KPs); (d) deep anterior chamber with wide and open angle; (e) no posterior synechiae and inflammation [1]. The exclusion criteria were as follows: (a) any other coexisting ocular conditions that could impair visual function; (b) history of psychiatric/psychological disease; (c) current or previous use of medication that might affect psychological status; (d) PSS patients in remission or those whose symptoms were cured. Overall, 93 PSS patients and 102 healthy controls were included in this study.

This study was approved by the ethics committee of the hospital and was conducted according to the Declaration of Helsinki. Written informed consent was obtained from all participants.

Clinical examination

General information including gender, age, alcohol drinking status and smoking status, along with clinical information including the number of eyedrops used and duration of disease were recorded.

Two questionnaires were used in this study. (1) A Chinese version of the Hospital Anxiety and Depression Scale (HADS) [13], which has been validated in previous studies [14, 15], was administered to assess the anxiety and depression status of all participants. The HADS is a 14-item self-report instrument that contains two 7-item subscales: HADS-anxiety (HADS-A) and HADS-depression (HADS-D). Questions were graded on a four-point Likert scale (0–3). In each of the 7-item subscale, scores can be summed from 0 to 21. Higher scores indicate a higher level of anxiety and depression. In this study, scores more than 10 on both the HADS-A and HADS-D were defined as presence of anxiety or depression [16, 17]; (2) Chinese versions of visual function (VF) and quality-of-life (QOL) questionnaires were used to assess the VF and QOL of all participants. These Chinese versions of questionnaires were validated in previous studies [18, 19]. The VF questionnaires consists of four subscales: visual perception (four questions dealing with activity limitation, near vision, intermediate vision, and distance vision); sensory adaptation (six questions dealing with light/dark adaptation, visual search, color discrimination, and glare disability); peripheral vision (one question); and depth perception (one question). The QOL questionnaires also consists of four subscales: self-care (bathing, eating, dressing, toileting); mobility (walking to neighbors, walking to shops, doing household chores); social interaction (attending functions, meeting with friends); and mental well-being (burden on others, dejection, loss of confidence). A four-point Likert scale (“not at all”, “a little”, “quite a bit”, “a lot”) was used in each question to ascertain the level of difficulty faced by the participant. Subscale scores were linearly transformed so that a score of zero reflected a maximum difficulty level and a score of 100 reflected the absence of any difficulty. After explaining the questionnaire by the first author, the questionnaires were completed through face-to-face interviews. Interviewer training was conducted to standardize the administration of the questionnaires and to adhere strictly to the questionnaire. Assistance was provided if participants needed. A copy of the HADS, VF and QOL questionnaire, along with the description of each sub-scale, is provided in the additional file 1 (See Supplementary Tables 1, Supplementary Tables 2 and Supplementary Tables 3, Additional file 1).

Statistical analysis

Data analyses were performed using SPSS (version 25.0, IBM Corp., Armonk, NY). Continuous variables were reported as mean and standard deviation (SD) and were compared using the independent sample t test, whereas categorical variables were presented as counts and percentages and were compared using the Pearson χ2 test, or the Fisher exact test. Both univariable and multivariable logistic regression analyses were performed to determine the risk factors of anxiety and depression in PSS patients. A P-value < 0.05 indicated statistical significance.

Results

Demographic and clinical characteristics

A total of 195 participants who met the inclusion and exclusion criteria were enrolled in this study, and the demographic and clinical characteristics were presented in Table 1. Among participants included, 103 (52.8%) were male, and the mean age was 32.3 ± 6.1 years. Participants who never smoked (91.3%) were more than current or previous smokers (8.7%). Participants who never drank alcohol (41.0%) were less than current or previous alcohol drinkers (59.0%). Overall, anxiety (HADS-A score > 10) was present in 32 individuals (16.4%), whereas depression (HADS-D score > 10) was present 19 individuals (9.7%).

Biosocial profile of PSS patients compared to healthy controls

Out of the 195 study participants, there were 93 PSS patients and 102 healthy control participants. The age, gender, smoking and alcohol drinking status, VF total scales, QOL total scales, HADS-A scores and HADS-D scores between PSS patients and healthy controls showed no statistically significant differences (all P > 0.05). Within each group, there were more participants who do not smoke or drink. In the PSS group, there were more male patients (57.0%) than female patients (43.0%).

In general, sensory adaptation and mental well-being scores were lower than other VF and QOL sub-scales (Table 1). Although the VF and QOL scores were mostly similar between PSS patients and health controls (all P > 0.06), PSS patients reported significantly lower mental well-being (78.3 ± 19.4) as compared to healthy controls (84.1 ± 20.7; P = 0.044).

Table 1 Demographic and clinical characteristics of all participants
Full size table

Anxiety and depression in PSS patients and healthy controls

Although the mean scores for anxiety (6.98 ± 4.20) and depression (6.44 ± 3.66) in PSS patients were higher than the mean scores for anxiety (6.67 ± 3.21) and depression (5.96 ± 2.93) in healthy controls participants, no statistically significant difference was observed (all P > 0.311, Fig. 1. A). However, anxiety was presented in 22 (23.7%) individuals in PSS group and in 10 (9.8%) individuals in healthy controls group. Depression was presented in 11 (11.8%) individuals in the PSS group and in 8 (7.8%) individuals in healthy controls group (Fig. 1. B). The frequency of anxiety in PSS patients was significantly higher than that in healthy controls (P = 0.009). While the difference of the frequency of depression between the two groups was not statistically significant (P = 0.349).

Fig. 1
figure 1

Histograms of anxiety and depression in PSS patients and healthy controls. (A) The histograms of average scores for anxiety and depression of PSS patients and healthy controls. (B) The histograms of frequency of individual with anxiety and depression of PSS patients and healthy controls. *: P = 0.009

Full size image

Associations of explanatory variables with depression and anxiety symptoms

We found PSS was significantly associated with anxiety (odds ratio [OR] = 2.851, 95% confidence interval [CI] 1.269, 6.402, P = 0.011) but not with depression (OR = 1.576, 95% CI 0.605, 4.107, P = 0.352) using logistic regression for the whole participants.

In univariate regression analysis in PSS patient group, mobility score (P = 0.026) and mental well-being score (P < 0.001) in QOL subgroup were significantly associated with anxiety. Mental well-being score (P = 0.004) was also significantly associated with depression. Anxiety and depression were not significantly associated with age, gender, smoking and drinking status, duration of disease, number of eyedrops used and other subgroups of VF and QOL scales.

In multi-variable logistic regression in PSS patient group, higher mental well-being score was significantly associated with lower odds of anxiety (OR 0.920, 95% CI 0.881, 0.962, P < 0.001) and depression (OR 0.959, 95% CI 0.926, 0.994, P = 0.023) after adjusted for variates with P < 0.2 in univariate regression analysis (number of eye drops used and Vision perception of anxiety group; Vision perception, smoking status, alcohol drinking status and duration of depression group) (Tables 2 and 3).

Table 2 Univariate and multi-variable regression for anxiety in patients with Posner-Schlossman syndrome (n = 93)
Full size table
Table 3 Univariate and multi-variable regression for depression in patients with Posner-Schlossman syndrome (n = 93)
Full size table

Discussion

In this study, we assessed the anxiety and depression levels along with their potential risk factors in patients with PSS and healthy controls. Our results are important and are a value addition to existing literature and the association of chronic ocular diseases with psychological disorders. To the best of our knowledge, this is the first study to assess the anxiety and depression levels in patients with PSS and to determine the potential risk factors for these psychological conditions. Our results show the psychological vulnerability of patients with PSS. When compared with normal participants, PSS group had significantly higher frequency of anxiety (23.65% vs. 9.8%, P = 0.009), although depression was also more common (11.83% vs. 7.84%, P = 0.349) but statistically not significant. The present study also indicates that after adjusting potential confounding factors, mental well-being was significantly associated with anxiety and depression. Mental well-being was an independent risk factor of anxiety and depression.

Patients with PSS usually have characteristic clinical manifestations, recurrent acute anterior segment inflammation, markedly increased IOP, mild blur vision, with a vulnerable age of 20–50 years [20, 21]. The pathophysiology of PSS is however not well understood; viral infection, genetic susceptibility, vascular endothelial dysfunction, and autoimmune diseases have been reported to be as risk factors that contribute to PSS onset and severity [21]. The long-term implication includes optic nerve atrophy and loss of vision, and studies have shown an association between disease recurrence, high IOP, the fear of losing vision and anxiety or depression, which can lead to bad compliance and poor outcomes [22,23,24].

In the present study, we found the frequency of anxiety and depression in patients with PSS (23.65% and 9.80%) were greater than that in healthy controls (11.83% and 7.84%). Anxiety and depressive disorders are the two most prevalent mental disorders in the general population, with an estimated lifetime prevalence of 16% and 4–10%, respectively [25]. Anxiety and depression are also highly prevalent in individuals with other ocular diseases [4,5,6,7]. For instance, the prevalence of anxiety and depression in glaucoma patients has been reported in the range of 64.0% and 30.0%, respectively [12]. The prevalence of anxiety and depression in patients with dry eye was approximately threefold higher than that of healthy controls [26]. Our results revealed a significantly higher frequency of anxiety in PSS patients compared to controls, while frequency of depression did not reach statistical significance. This difference was possibly due to small sample size in the present study. Another reason was possibly because of the mean duration of PSS patients in our study was 3.40 (median 2.5, 0.5–17) years, there was a lack of significant visual symptoms in early-stage PSS patients. However, optic nerve damage appears over 5–10 years after the first onset [1]. Even so, our study shows that PSS patients in early course of their disease are vulnerable to psychological disorders. This may predispose them to serious psychiatric illness during later course of the disease, however further research is needed to evaluate the impact of duration of disease on psychological disorders in PSS patients.

We found mental well-being was an independent risk factor for both anxiety and depression. Mental well-being here is characterized as the feelings of being burden on others, dejection and loss of confidence [18]. In this study, PSS patients had a lower score of mental well-being compare with healthy controls (P = 0.044), which meant that PSS patients may think that others would be better off if they were not around, had lower spirits, and less confidence in their ability to perform. These negative emotions may contribute to the association between mental well-being and anxiety/depression. However, the association between anxiety/depression and chronic disease is not well understood. A systematic review reported that anxiety/depression could be the consequence of the diagnosis of a chronic disease, it could also be the cause of chronic disease, or the two conditions interact and exacerbated each other [9]. Our findings therefore highlight the importance of mental wellbeing in contributing to anxiety/depression in patients with PSS.

We did not find a correlation between age and anxiety/depression, which was consistent with a study by Lim et al. [12]. In contrast, some other studies found that younger age was associated with anxiety [17, 27] and older age was associated with depression in glaucoma patients [17]. Our results also did not reveal any association between gender and anxiety/depression, which was in agreement with the study by Mabuchi et al. [17] but contrast to the study by Lim et al. [12]. These inconsistencies could be due to the different ophthalmic diseases, psychometric measurement tools, sample size and disease age groups. Therefore, more prospective, well-designed studies are needed to further understand the association between chronic ocular diseases and anxiety/depression.

This study could be regarded as an initial exploration of the psychological state of PSS patients. However, there are also some limitations to the present study. First, there might be a potential selection bias as all the PSS patients were enrolled while they were visiting hospital, which meant that the disease was active. PSS patients in remission or those whose symptoms were cured were not included. However, in this study, we assessed the psychological status of patients with active PSS, who were affected more compared to others. Second, there might be some other factors related to clinical features or patient demography that could affect the psychological status of PSS patients that we did not analyse, such as IOP and visual acuity. Third, this was a cross-sectional study with limited sample size. Cohort studies with large sample size should be conducted to determine the relationship between chronic ocular diseases like PSS and their potential impact on the psychological status of the patient.

Conclusions

In conclusion, our findings indicate that PSS patients may have higher anxiety and depression than healthy controls. Mental well-being was significantly associated with anxiety and depression in PSS patients and was an independent risk factor of anxiety and depression. Furthermore, it is important for ophthalmologists to be aware of the potential psychological comorbidities in PSS patients. This will help in disseminating appropriate information about PSS to prevent patients from developing undue anxiety/depression. Targeted interventions to improve mental wellbeing may also help in improving patient outcomes in patients with chronic ocular disease like PSS.

Data Availability

The datasets analysed during the current study are available from the corresponding author (Kaidi Wang: academia2022@163.com) on reasonable request.

Abbreviations

PSS:

Posner-Schlossman syndrome

HADS:

Hospital Anxiety and Depression scale

VF:

Visual function

QOL:

Quality-of-life

OR:

Odds ratio

CI:

Confidence interval

IOP:

Intraocular pressure

KPs:

Keratic precipitates

References

  1. Jiang JH, Zhang SD, Dai ML, et al. Posner-Schlossman syndrome in Wenzhou, China: a retrospective review study. Br J Ophthalmol. 2017;101(12):1638–42.

    Article  PubMed  Google Scholar 

  2. Okonkwo ON, Tripathy K. Posner Schlossman Syndrome. StatPearls. Treasure Island (FL)2022.

  3. Kim JH, Lee JY, Choi JA. Long-term prognosis for glaucoma in patients with Posner-Schlossman syndrome. Graefe’s archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie. 2021;259(12):3757–67.

  4. Kong X, Yan M, Sun X, et al. Anxiety and depression are more prevalent in primary Angle Closure Glaucoma Than in Primary Open-Angle Glaucoma. J Glaucoma. 2015;24(5):e57–63.

    Article  PubMed  Google Scholar 

  5. Can Sandikci S, Colak S, Omma A, et al. An evaluation of depression, anxiety and fatigue in patients with Behcet’s disease. Int J Rheum Dis. 2019;22(6):974–9.

    Article  PubMed  Google Scholar 

  6. Zhang B, Wang Q, Zhang X, et al. Association between self-care agency and depression and anxiety in patients with diabetic retinopathy. BMC Ophthalmol. 2021;21(1):123.

    Article  PubMed  PubMed Central  Google Scholar 

  7. van der Vaart R, Weaver MA, Lefebvre C, et al. The association between dry eye disease and depression and anxiety in a large population-based study. Am J Ophthalmol. 2015;159(3):470–4.

    Article  PubMed  Google Scholar 

  8. Cui Y, Xia L, Li L, et al. Anxiety and depression in primary Sjogren’s syndrome: a cross-sectional study. BMC Psychiatry. 2018;18(1):131.

    Article  PubMed  PubMed Central  Google Scholar 

  9. DeJean D, Giacomini M, Vanstone M, et al. Patient experiences of depression and anxiety with chronic disease: a systematic review and qualitative meta-synthesis. Ont Health Technol Assess Ser. 2013;13(16):1–33.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Rometsch C, Denkinger JK, Engelhardt M, et al. Care providers’ views on burden of psychosomatic symptoms of IS-traumatized female refugees participating in a humanitarian admission program in Germany: a qualitative analysis. PLoS ONE. 2020;15(10):e0239969.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Mileva VR, Vazquez GH, Milev R. Effects, experiences, and impact of stigma on patients with bipolar disorder. Neuropsychiatr Dis Treat. 2013;9:31–40.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lim NC, Fan CH, Yong MK, et al. Assessment of Depression, anxiety, and quality of life in singaporean patients with Glaucoma. J Glaucoma. 2016;25(7):605–12.

    Article  PubMed  Google Scholar 

  13. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta psychiatrica Scandinavica. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  14. Wang W, Chair SY, Thompson DR, et al. A psychometric evaluation of the chinese version of the hospital anxiety and Depression Scale in patients with coronary heart disease. J Clin Nurs. 2009;18(13):1908–15.

    Article  PubMed  Google Scholar 

  15. Kong XM, Zhu WQ, Hong JX, et al. Is glaucoma comprehension associated with psychological disturbance and vision-related quality of life for patients with glaucoma? A cross-sectional study. BMJ open. 2014;4(5):e004632.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mabuchi F, Yoshimura K, Kashiwagi K, et al. High prevalence of anxiety and depression in patients with primary open-angle glaucoma. J Glaucoma. 2008;17(7):552–7.

    Article  PubMed  Google Scholar 

  17. Mabuchi F, Yoshimura K, Kashiwagi K, et al. Risk factors for anxiety and depression in patients with glaucoma. Br J Ophthalmol. 2012;96(6):821–5.

    Article  PubMed  Google Scholar 

  18. He M, Xu J, Li S, et al. Visual acuity and quality of life in patients with cataract in Doumen County, China. Ophthalmology. 1999;106(8):1609–15.

    Article  CAS  PubMed  Google Scholar 

  19. Zhao J, Sui R, Jia L, et al. Visual acuity and quality of life outcomes in patients with cataract in Shunyi County, China. Am J Ophthalmol. 1998;126(4):515–23.

    Article  CAS  PubMed  Google Scholar 

  20. Yang MM, Sun HY, Meng T, et al. CFH I62V as a putative genetic marker for Posner-Schlossman Syndrome. Front Immunol. 2021;12:608723.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Megaw R, Agarwal PK. Posner-Schlossman syndrome. Surv Ophthalmol. 2017;62(3):277–85.

    Article  PubMed  Google Scholar 

  22. Abe RY, Silva TC, Dantas I, et al. Can psychologic stress elevate intraocular pressure in healthy individuals? Ophthalmol Glaucoma. 2020;3(6):426–33.

    Article  PubMed  Google Scholar 

  23. Eser-Ozturk H, Yeter V, Karabekiroglu A, et al. The Effect of Vision-Related quality of life on depression and anxiety in patients with Behcet Uveitis. Turk J Ophthalmol. 2021;51(6):358–64.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Schmitzer S, Simionescu C, Alexandrescu C et al. The Anophthalmic Socket - Reconstruction Options. J Med Life. 2014;7 Spec No. 4:23 – 9.

  25. Kessler RC, Aguilar-Gaxiola S, Alonso J, et al. The global burden of mental disorders: an update from the WHO World Mental Health (WMH) surveys. Epidemiol Psichiatr Soc. 2009;18(1):23–33.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wan KH, Chen LJ, Young AL. Depression and anxiety in dry eye disease: a systematic review and meta-analysis. Eye. 2016;30(12):1558–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Zhou C, Qian S, Wu P, et al. Anxiety and depression in chinese patients with glaucoma: sociodemographic, clinical, and self-reported correlates. J Psychosom Res. 2013;75(1):75–82.

    Article  PubMed  Google Scholar 

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Author notes

  1. Hua Zhong and Kaidi Wang are the Co-last authors.

Authors and Affiliations

  1. Shanghai Aier Eye Hospital, Shanghai Aier Eye Institute, Shanghai, China

    Chaoxu Qian

  2. Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore

    Zhi Da Soh & Sahil Thakur

  3. Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Zhi Da Soh

  4. Department of Ophthalmology, The First Affiliated Hospital of Kunming Medical University, Kunming, China

    Wen Yan, Xian Shao & Hua Zhong

  5. Department of Ophthalmology & Visual Science, Eye & ENT Hospital, Shanghai Medical College, Fudan University, 83 Fenyang Rd, 200031, Shanghai, China

    Kaidi Wang

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Contributions

CXQ, ZDS, ST, WY and XS performed the research. CXQ and ZDS analyzed the data and wrote the paper. HZ and KDW supervised the study. All authors read and approved the final manuscript.

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Correspondence to Kaidi Wang.

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Ethical approval was obtained from the ethics committee of Eye & ENT Hospital (ID:2018021). Written informed consent was obtained from all participants.

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Supplementary Material 1: Additional file 1 A copy of the HADS, VF and QOL questionnaire, along with the description of each sub-scale

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Qian, C., Soh, Z.D., Thakur, S. et al. Assessment of anxiety and depression in patients with Posner-Schlossman syndrome. BMC Ophthalmol 23, 287 (2023). https://doi.org/10.1186/s12886-023-03047-4

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BMC Ophthalmology

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