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Ocular surface disorders affect quality of life in patients with autoimmune blistering skin diseases: a cross-sectional study
BMC Ophthalmology volume 22, Article number: 437 (2022)
Autoimmune blistering skin diseases (AIBD) are a group of rare chronic autoimmune diseases which are associated with ocular surface diseases especially dry eye disease. This study is designed to investigate the relationship between ocular surface disorders and quality of life among patients with autoimmune blistering skin diseases.
Twenty-four AIBD patients (18 pemphigus and 7 pemphigoid) and twenty-five non-AIBD controls were included. Ocular surface disease index (OSDI), ocular surface evaluation, including slit-lamp examination, Schirmer I test, tear break-up time, corneal fluorescein staining, lid-parallel conjunctival folds, meibomian gland evaluation, presence of symblepharon and corneal opacity were assessed. Life quality was evaluated by multiple questionnaires, including Medical Outcomes Study 36-Item Short Form Questionnaire (SF-36), Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI) and Health Assessment Questionnaire-Disability Index (HAQ-DI). Ocular surface tests and quality of life were compared between AIBD patients and non-AIBD controls. In the AIBD patients, the associations between ocular surface parameters and quality of life were also evaluated.
92% of AIBD patients and 87.5% of age- and sex-matched non-AIBD controls were diagnosed with dry eye in this study. Compared with non-AIBD controls, AIBD patients reported lower SF-36 scores (P < 0.05) and severer OSDI, Schirmer I test, tear break-up time, corneal fluorescein staining, presence of symblepharon and corneal opacity measures (P < 0.05). OSDI, Schirmer I test were correlated with SF-36 composite scores or scores on the SF-36 subscales.
AIBD patients experience reduced quality of life and more severe ocular surface disorders including dry eye, symblepharon and corneal opacity. Early treatments of dry eye and collaborations among multidisciplinary physicians are necessary in patients with AIBD.
Autoimmune blistering skin diseases (AIBD) are a group of rare chronic autoimmune disorders, mainly including pemphigus and pemphigoid. They are characterized by the cohesion disruption of intraepidermal (pemphigus) or subepidermal (mainly pemphigoid), which could lead to erosions on the skin and/or the mucous membranes . The common subtypes of pemphigus are pemphigus vulgaris (PV), pemphigus foliaceus (PF), and paraneoplastic pemphigus (PNP). Pemphigoid mainly has 3 forms: bullous pemphigoid (BP), mucous membrane pemphigoid (MMP), and epidermolysis bullosa acquisita (EBA) .
AIBD involve a broad range of clinical presentations, including ocular disorders, neurological diseases, gastrointestinal inflammation, rheumatoid arthritis, autoimmune thyroid disease and type I diabetes [3, 4]. When the ocular complications in patients with AIBD are mentioned, most ophthalmologists think of ocular cicatricial pemphigoid (OCP), a subtype of MMP . Previous clinical observations have reported that many patients with other AIBD subtypes also present various ocular disorders that affect quality of life but often go underrecognized and undertreated . Jeremy C.K. Tan et al. found that 77.3% of patients with PV or BP complained of at least one ocular symptom related to dry eye , which might have relevance to the progression and medications of disease.
Dry eye is a common multifactorial ocular surface disease characterized by a loss of homeostasis of the tear film combined with various ocular symptoms, including pain, irritation, light sensitivity, foreign-body sensation, dryness, and fluctuating vision . The prevalence of dry eye varies in different areas, but the number of affected individuals is increasing . Its primary mechanism is evaporative water loss leading to tissue damage, which could further lead to the loss of epithelial cells and goblet cells directly or by inducing inflammation . Psychiatric disorders, anxiety, pressure and reduced sleeping quality have been reported to be risk factors for dry eye [9, 10]. However, only a few studies have focused on their relationship in some rare immunological diseases, including AIBD.
Obstruction in the lacrimal ducts, meibomian gland dysfunction (MGD), increased tear osmolality (TO), symblepharon, conjunctival erosion, corneal opacity and other pathological changes in patients with AIBD may cause dry eye . Additionally, the symptoms that cause a decrease in quality of life, including psychiatric disorders, anxiety, pressure and low sleep quality, may also trigger and worsen dry eye in patients with AIBD, which are underestimated with limited reports. We therefore carried out a clinical study evaluating ocular manifestations, especially dry eye, in patients with AIBD and their quality of life by using reliable and valid self-report questionnaires. These questionnaires included the Ocular Surface Disease Index (OSDI) , Medical Outcomes Study 36-Item Short Form (SF-36) , Hospital Anxiety and Depression Scale (HADS) , Pittsburgh Sleep Quality Index (PSQI) , and Health Assessment Questionnaire-Disability Index (HAQ-DI) . The OSDI is an efficient instrument for measuring the effect on vision-related function and dry eye disease. As an indicator of overall health status, the SF-36 is designed to obtain patients’ perception of their well-being and health. The HADS aims to detect states of depression and anxiety. The PSQI is an effective tool for assessing the quality of sleep in patients. Considering the increasing prevalence of RA in patients with AIBD , the HAQ-DI was also implemented in this study, which is a comprehensive measure of outcome in patients with rheumatic diseases.
This investigation aims to detect the quality of life, states of depression and anxiety, sleep quality and severity of ocular surface disorders in patients with AIBD, and to explore the relationship between dry eye and quality of life in patients with AIBD.
In this study, 25 AIBD patients and 24 non-AIBD volunteers were recruited from March to July 2021 with informed consent. The research was approved by the institutional human experimentation ethics committee of the Second Xiangya Hospital (code of ethics: LYF2021028) and adhered to the Tenets of the Declaration of Helsinki. All patients were diagnosed with AIBD by skilled dermatologists and voluntarily participated in this study after signing the informed consents, but they were not restricted to referrals by dermatologists. Those non-AIBD subjects without already known dry eye disease served as non-AIBD controls. All participants are required to have no difficulty in communication and be older than 18 years according to the inclusion criteria.
Ocular surface evaluation
Available diagnostic tests on eyes, including the Schirmer I test without anesthesia, tear break-up time (TBUT), cornea fluorescein staining (Oxford grading scheme ), slit lamp assessment of the lid margin (LIPCOF grading) and meibomian gland secretion grading , were implemented by adequately trained ophthalmologists.
Schirmer I test ≤ 5 mm/ 5 min, TBUT ≤ 10 s, cornea fluorescein staining Oxford grade > 0, or LIPCOF (lid-parallel conjunctival folds) grade ≥ 2 were considered abnormal. Dry eye is a multifactorial disease and there is no single gold standard sign or symptom that match the state of dry eye. In our study, when patients have dry eye symptoms (OSDI ≥ 13) and meet one of the above abnormal signs can be diagnosed by dry eye disease. Considering the non-proportionality of symptoms and signs, when patients were asymptomatic or minimally symptomatic, while there was severe damage on the tear function or ocular surface which are unattributable to other specific conditions, can be also diagnosed with dry eye disease . The severity of dry eye was assessed according to the dry eye severity grading scheme as reported . The level is evaluated by the severity of signs and symptoms used to guide the therapy.
When these ocular tests were administered, questionnaires such as the OSDI, SF-36, HADS, PSQI, and HAQ-DI were completed by patients after basic instructions were provided.
The OSDI questionnaire is composed of 12 vision-targeted questions sorted by 3 parts: ocular symptoms, environmental triggers and vision-related function. The scores are calculated using the following formula: OSDI = (sum of scores for all questions answered × 100)/ (total number of questions answered × 4). Higher scores indicate more severe conditions, and the overall OSDI scores define the ocular surface as normal (0–12), mild (13–22), moderate (23–32) or severe (above 33) .
The SF-36 is a 36-item questionnaire that consists of eight subscales: physical functioning, physical role functioning, bodily pain, general health perceptions, vitality, social role functioning, emotional role functioning and mental health. The total score is calculated using the weighted sums of the questions in each section and ranges from 0–100. Moreover, the physical component summary (PCS) and mental component summary (MCS) are aggregated from the 8 scaled scores and calculated as previously reported . Higher scores on the SF-36 indicate less disability.
The HADS contains 14 items (7 anxiety and 7 depression), and each item was answered by the objects on a 0-3 severity scale, so the possible scores range from 0-21 for anxiety or depression. The analysis of scores is also based on two subscales. A score of 0 to 7 is regarded as normal, a score of 8 to 10 is considered to indicate the probable presence of the respective state, and a score of 11 or higher is indicative of a mood disorder .
The PSQI has 7 subscales: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction over the last month. Scores on each subscale range from 0 to 3, and thus, the total score of the index ranges from 0 to 21, with higher scores indicating worse sleep quality. A total score of 5 or greater indicates poor sleeping quality .
The HAQ is an effective tool for assessing disability across seven components: dressing, arising, eating, walking, hygiene, reach, grip, and activities. There are 2 or 3 questions for each component, and the response options for each item range from 0 (without any difficulty) to 3 (unable to do). For each component, the score is determined by selecting the worst score on any item. The sum of each component is then divided by the number of components answered, and the total score ranges from 0-3 .
The statistics are presented as the mean and standard deviation (SD) for continuous measurements and as the number and percentage of total for categorical measurements. Comparisons of parametric data were performed with independent samples t-tests. The rank sum test was used to assess the rank data and nonparametric data differences between AIBD and the non-AIBD controls. The counting data were analyzed by the chi-square test or Fisher’s exact test to detect the significant differences between the two groups. The correlation between the questionnaire results and patients’ dry eye parameters was evaluated using the Pearson correlation coefficient or Spearman rank correlation for nonnormally distributed data and rank data. Statistical analysis was performed with SPSS 20 (SPSS Inc., Chicago, IL, USA), and a two-sided P value of < 0.05 was considered statistically significant for all reported tests.
Characteristics of participants
Fifty eyes of 25 AIBD patients (11 female and 14 male) were included, with an average age of 55.16 ± 12.69 years (range from 32 to 79 years old). Among them, 18 patients (72.0%) were diagnosed with pemphigus (16 PV, 2 PF), and the remaining 7 patients (28.0%) were diagnosed with pemphigoid (4 MMP, 3 BP). There was 1 female diagnosed with OCP. Forty-eight eyes of 24 non-AIBD volunteers (14 female and 10 male) ranging from 23 to 77 years old were also enrolled in this study. No statistically significant differences in age or sex were observed between the AIBD group and the non-AIBD control group. The demographic data and other characteristics of AIBD patients and non-AIBD volunteers are shown in Table 1.
Ocular surface parameters
As a symptom severity assessment of dry eye, the OSDI questionnaire was completed by all participants, with scores ranging from 0 to 98. OSDI scores were > 22 in 15 (60.0%) AIBD patients, and the average OSDI score (36.25 ± 25.33) in patients was significantly higher than that in age- and sex-matched non-AIBD volunteers (21.29 ± 18.63, P = 0.023). A significant difference was also found in the OSDI level (0-3) between the two groups (Table 1; P = 0.029).
For the assessment of tear film, the Schirmer I test, TBUT test and corneal fluorescein staining were performed in all AIBD patients and non-AIBD volunteers. The mean Schirmer I test of the control group (12.50 ± 9.00 mm/5 min) was significantly higher than that of the AIBD patients (8.42 ± 4.86 mm/5 min; Table 1; P = 0.006). TBUT was abnormal in 94.0% of eyes of AIBD patients (range from 1 to 15 s) and 64.6% of non-AIBD volunteers (range from 2 to 20 s), with a significant difference (Table 1; P < 0.001). The corneal fluorescein staining Oxford score was ≥ grade 1 in 32.0% of AIBD eyes and higher than 4.2% in the non-AIBD controls (Table 1; P < 0.001).
In terms of ocular surface findings, statistically significant differences in symblepharon presence (P = 0.004) and cornea clarity (P = 0.013) were observed when comparing the AIBD group with the non-AIBD group (Table 1). Among 50 eyes of AIBD patients, symblepharon was present in 8 eyes (16.0%, from 2 females and 2 males), and corneal opacity was present in 6 eyes (12.0%, from 2 females and 1 male). Conversely, neither symblepharon presence nor corneal opacity was found in all non-AIBD volunteers (Table 1). The LIPCOF grade was abnormal in 44.0% of AIBD patients and 27.1% of control volunteers. There was no significant difference between the two groups (Table 1; P = 0.051). Additionally, 60.00% of eyes in patients with AIBD patients and 51.1% of eyes in the non-AIBD controls were found to have abnormal meibomian gland secretion; this difference was not statistically significant (Table 1; P = 0.376).
In this study, 92.0% of AIBD patients and 87.5% of non-AIBD controls were diagnosed with dry eye. Most of the AIBD patients (56.0%) had grade 3 dry eye, while a majority of age- and sex-matched non-AIBD volunteers (45.8%) had grade 1 dry eye. This difference was significant (Table 1; P = 0.001).
No statistical significance was detected when comparing the ocular surface parameters of pemphigus patients with those of pemphigoid patients.
Four questionnaires (SF-36, HAQ-DI, PSQI and HADS) were administered. As shown in Fig. 1, among SF-36 subscales, AIBD patients had lower scores on all subscales except vitality (63.00 in patients with AIBD and 59.38 in the control group, P = 0.568); there were significant difference between groups in the scores on the physical functioning, physical role functioning, social role functioning and emotional role functioning subscales (each P < 0.05). Moreover, the MCS and PCS scores were significantly lower among AIBD patients than among the control patients (Table 2; P = 0.007, P < 0.001).
As to HADS questionnaire, the average scores of anxiety and depression in the AIBD group were 5.96 and 7.44, respectively, and both scores were higher than those in the control group (3.75 and 6.13). There was a statistically significant difference in the anxiety score between the two groups (Table 2; P = 0.024).
In PSQI questionnaire, no significant difference in sleep quality was observed between the AIBD group and non-AIBD volunteers (Table 2; P = 0.478).
There was no significant difference in HAQ-DI scores between AIBD patients and non-AIBD controls (Table 2; P = 0.264).
Moreover, the analysis of completed questionnaires (SF-36, HAQ-DI, PSQI and HADS) showed that there was no significant difference between pemphigus and pemphigoid patients.
The correlation between questionnaire results and ocular surface parameters in patients with AIBD
Pearson correlation analysis or Spearman rank correlation analysis was used to evaluate the association of the questionnaire results with dry eye parameters in all AIBD patients (n = 25).
There was a statistically significant correlation between the OSDI score and SF-36 composite score (Fig. 2; R = -0.42, P = 0.038). The OSDI score was also significantly correlated with MCS (Fig. 2; R = -0.42, P = 0.036), physical functioning (Fig. 2; R = -0.41, P = 0.040), metal healthy score (Fig. 2; R = -0.67, P < 0.001). However, there was no statistically significant correlation between OSDI scores and other questionnaire scores.
Among the ocular surface parameters, the Schirmer I test also showed a statistically significant correlation with the SF-36 composite score (Fig. 2; R = 0.48, P = 0.017) and some of the SF-36 subscale scores (Table 3 and Fig. 2). Moreover, other ocular surface parameters, including tear break-up time, cornea fluorescein staining and lid-parallel conjunctival folds, were not correlated with the questionnaire results, except meibomian gland dysfunction, which showed a mild but statistically significant correlation with the general health score (Table 3; R = 0.40, P = 0.049). There was no correlation between the questionnaire results and dry eye level.
AIBD are a group of chronic autoimmune disorders that are predominantly dermatologically present. In known clinical cases, a substantial proportion of AIBD patients complained of ocular involvements, such as irritation, pain, burning, decreased vision, discharge, corneal abrasion, conjunctival scarring and symblepharon . Studies have also revealed that patients with AIBD can develop ocular complications, from mild dry eye disease, conjunctival inflammation, trichiasis and ocular surface scarring to severe corneal opacification and corneal perforation, which compromise the quality of life or even threaten vision [24,25,26].
Among these ocular involvements, dry eye presents as a typical complication and the early stage of ocular involvement . It is a multifactorial ocular surface disease characterized by tear film instability . The tear film consists of three layers, oil, aqueous and mucin, produced by meibomian glands, lacrimal glands or accessory lacrimal glands and conjunctival goblet cells, respectively. In present studies, dry eye in patients with AIBD may reflect a reduction in conjunctival goblet cells, fibrotic occlusion of the ducts of lacrimal glands and meibomian gland dysfunction, which result from progressive fibrosis, chronic inflammation, autoimmunity or drug use [27, 28]. A study involving 22 AIBD patients conducted by Jeremy C.K. Tan et al. revealed that a reduced Schirmer test was found in 92.9% of patients, and 100% of them had an abnormal TBUT with a median OSDI score of 10 . Discordance between reported symptoms and observed signs in dry eye is commonly noted . In our study, comprehensive dry eye assessments were implemented for all participants. We administered an OSDI questionnaire as well as TBUT and Schirmer I tests, and we performed corneal fluorescein staining, LIPCOF, meibomian gland secretion, presence of symblepharon and corneal opacity.
However, continuing evidence has indicated that dry eye is significantly associated with poor quality of life, anxiety, depression, psychiatric symptoms and impaired sleep quality, which also shows a high prevalence in patients with AIBD and leads to serious deleterious effects on quality of life [29, 30]. To date, only a few studies have measured subjective well-being in patients with AIBD, and no study has focused on poorer quality of life related to dry eye in patients with AIBD. The impact of dry eye and its role in patients with AIBD have not been clarified, while current studies suggest the possible relationship of dry eye with the quality of life in patients with AIBD. Therefore, we comprehensively assessed the quality of life in patients with AIBD by administering questionnaires such as the SF-36, HADS, PSQI and HAQ-DI to achieve a more holistic assessment of quality of life for patients with AIBD and to analyze its relationship between quality of life and dry eye in these patients.
In this study, compared with non-AIBD controls, AIBD patients were found to have lower quality of life as measured by the SF-36 questionnaire, and poor quality of life was associated with severer symptoms and signs (such as the Schirmer I test) in dry eye. The SF-36 is widely used to evaluate health-related quality of life, especially in cancer , chronic diseases [32, 33] and postoperative evaluation . As a chronic disease, the SF-36 was also administered to patients with AIBD to evaluate their quality of life, particularly their psychological profile and fatigue [35, 36]. There were also statistically significant differences in HADS scores between AIBD and non-AIBD volunteers. Our study implies that early diagnosis, referral, and treatment of AIBD patients with dry eye is essential to improve their quality of life. Poor mental status and dry eye syndrome can both significantly decrease quality of life in patients with AIBD patients; in turn, poor quality of life can also aggravate AIBD symptoms, including dry eye. Therefore, it is important to pay attention to the quality of life and presentations of dry eye in the management of patients. Further studies are needed to clarify the directionality of this association and to determine how to alleviate dry eye symptomatology and improve quality of life in patients with AIBD patients.
There are some limitations in this study. First, due to low incidence of AIBD, our study is limited by the small sample size. Second is the single-center design, so the single-center effects can’t be excluded. Third, with the limit of our study, we did not comprehensively assess the impact of AIBD severity to dry eye. In clinical setting, it is possible that severity of AIBD could influence the manifestations of dry eye . Finally, due to the non-representative nature of participants, the volunteer bias can’t be ignored.
In conclusion, this study may show that a multidisciplinary collaboration between specialists in ophthalmology, dermatology, internal medicine and psychology is conducive to improve the management of AIBD and enhance quality of life among these patients.
Availability of data and materials
The datasets used and analysed during the current study are available from the corresponding author on reasonable request and can be deposited publically.
Link of raw data: https://data.mendeley.com/datasets/73r8vrxksx
Autoimmune blistering skin diseases
Ocular surface disease index
Medical Outcomes Study 36-Item Short Form Questionnaire
Hospital Anxiety and Depression Scale
Pittsburgh Sleep Quality Index
Health Assessment Questionnaire-Disability Index
Mucous membrane pemphigoid
Epidermolysis bullosa acquisita
Ocular cicatricial pemphigoid
Meibomian gland dysfunction
Tear break-up time
Lid-parallel conjunctival folds
Physical component summary
Mental component summary
Schmidt E, Spindler V, Eming R, Amagai M, Antonicelli F, Baines JF, et al. Meeting report of the pathogenesis of pemphigus and pemphigoid meeting in Munich, September 2016. J Invest Dermatol. 2017;137(6):1199–203.
Egami S, Yamagami J, Amagai M. Autoimmune bullous skin diseases, pemphigus and pemphigoid. J Allergy Clin Immunol. 2020;145(4):1031–47.
Lu CY, Hsieh MS, Wei KC, Ezmerli M, Kuo CH, Chen W. Gastrointestinal involvement of primary skin diseases. J Eur Acad Dermatol Venereol. 2020;34(12):2766–74.
Parameswaran A, Attwood K, Sato R, Seiffert-Sinha K, Sinha AA. Identification of a new disease cluster of pemphigus vulgaris with autoimmune thyroid disease, rheumatoid arthritis and type I diabetes. Br J Dermatol. 2015;172(3):729–38.
Wang K, Seitzman G, Gonzales JA. Ocular cicatricial pemphigoid. Curr Opin Ophthalmol. 2018;29(6):543–51.
Clayton JA. Dry eye. N Engl J Med. 2018;378(23):2212–23.
Tan JCK, Tat LT, Francis KB, Mendoza CG, Murrell DF, Coroneo MT. Prospective study of ocular manifestations of pemphigus and bullous pemphigoid identifies a high prevalence of dry eye syndrome. Cornea. 2015;34(4):443–8.
Bron AJ, de Paiva CS, Chauhan SK, Bonini S, Gabison EE, Jain S, et al. TFOS DEWS II pathophysiology report. Ocul Surf. 2017;15(3):438–510.
Magno MS, Utheim TP, Snieder H, Hammond CJ, Vehof J. The relationship between dry eye and sleep quality. Ocul Surf. 2021;20:13–9.
Ong ES, Alghamdi YA, Levitt RC, McClellan AL, Lewis G, Sarantopoulos CD, et al. Longitudinal examination of frequency of and risk factors for severe dry eye symptoms in US Veterans. JAMA Ophthalmol. 2017;135(2):116–23.
Ozcura F, Aydin S, Helvaci MR. Ocular surface disease index for the diagnosis of dry eye syndrome. Ocul Immunol Inflamm. 2007;15(5):389–93.
McHorney CA, Ware JE, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32(1):40–66.
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.
Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.
Allanore Y, Bozzi S, Terlinden A, Huscher D, Amand C, Soubrane C, et al. Health Assessment Questionnaire-Disability Index (HAQ-DI) use in modelling disease progression in diffuse cutaneous systemic sclerosis: an analysis from the EUSTAR database. Arthritis Res Ther. 2020;22(1):257.
Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003;22(7):640–50.
Wolffsohn JS, Arita R, Chalmers R, Djalilian A, Dogru M, Dumbleton K, et al. TFOS DEWS II diagnostic methodology report. Ocul Surf. 2017;15(3):539–74.
Behrens A, Doyle JJ, Stern L, Chuck RS, McDonnell PJ, Azar DT, et al. Dysfunctional tear syndrome: a Delphi approach to treatment recommendations. Cornea. 2006;25(8):900–7.
Taft C, Karlsson J, Sullivan M. Do SF-36 summary component scores accurately summarize subscale scores? Qual Life Res. 2001;10(5):395–404.
Rodgers J, Friede T, Vonberg FW, Constantinescu CS, Coles A, Chataway J, et al. The impact of smoking cessation on multiple sclerosis disease progression. Brain. 2022;145(4):1368–78.
Sedov ID, Cameron EE, Madigan S, Tomfohr-Madsen LM. Sleep quality during pregnancy: a meta-analysis. Sleep Med Rev. 2018;38:168–76.
Leung YY, Tillett W, Hojgaard P, Orbai A-M, Holland R, Mathew AJ, et al. Test-retest reliability for HAQ-DI and SF-36 PF for the measurement of physical function in Psoriatic Arthritis. J Rheumatol. 2021;48(10):1547–51.
Laforest C, Huilgol SC, Casson R, Selva D, Leibovitch I. Autoimmune bullous diseases: ocular manifestations and management. Drugs. 2005;65(13):1767–79.
Broussard KC, Leung TG, Moradi A, Thorne JE, Fine J-D. Autoimmune bullous diseases with skin and eye involvement: Cicatricial pemphigoid, pemphigus vulgaris, and pemphigus paraneoplastica. Clin Dermatol. 2016;34(2):205–13.
Elchahal S, Kavosh ER, Chu DS. Ocular manifestations of blistering diseases. Immunol Allergy Clin North Am. 2008;28(1):119–36.
Ekong AS, Foster CS, Roque MR. Eye involvement in autoimmune blistering diseases. Clin Dermatol. 2001;19(6):742–9.
Chen Y, Shao C, Fan N-W, Nakao T, Amouzegar A, Chauhan SK, et al. The functions of IL-23 and IL-2 on driving autoimmune effector T-helper 17 cells into the memory pool in dry eye disease. Mucosal Immunol. 2021;14(1):177–86.
Kiyat P, Palamar M, Gerceker Turk B, Yagci A. Dry eye and quantitative and qualitative changes of meibomian glands in patients with pemphigus. Cornea. 2020;39(9):1108–11.
Pedroni MN, Hirotsu C, Porro AM, Tufik S, Andersen ML. The role of sleep in pemphigus: a review of mechanisms and perspectives. Arch Dermatol Res. 2017;309(8):659–64.
Patel PM, Jones VA, Kridin K, Strong RA, Yale M, Amber KT. Assessing the risk factors for anxiety, depression and post-traumatic stress disorder through the International Pemphigus and Pemphigoid Foundation. J Eur Acad Dermatol Venereol. 2022;36(2):e139–41.
Bunevicius A. Reliability and validity of the SF-36 Health Survey Questionnaire in patients with brain tumors: a cross-sectional study. Health Qual Life Outcomes. 2017;15(1):92.
Yarlas A, Bayliss M, Cappelleri JC, Maher S, Bushmakin AG, Chen LA, et al. Psychometric validation of the SF-36(®) Health Survey in ulcerative colitis: results from a systematic literature review. Qual Life Res. 2018;27(2):273–90.
Yarlas A, Rubin DT, Panés J, Lindsay JO, Vermeire S, Bayliss M, et al. Burden of ulcerative colitis on functioning and well-being: a systematic literature review of the SF-36® health survey. J Crohns Colitis. 2018;12(5):600–9.
Joelson A, Strömqvist F, Sigmundsson FG, Karlsson J. Single item self-rated general health: SF-36 based observations from 16,910 spine surgery procedures. Qual Life Res. 2022;31(6):1819–28.
Calabria E, Adamo D, Leuci S, Pecoraro G, Coppola N, Aria M, et al. The health-related quality of life and psychological profile in patients with oropharyngeal Pemphigus Vulgaris in complete clinical remission: a case-control study. J Oral Pathol Med. 2021;50(5):510–9.
Tarazi M, Gaffney RG, Pearson D, Kushner CJ, Werth VP. Fatigue in systemic lupus erythematosus and other autoimmune skin diseases. Br J Dermatol. 2019;180(6):1468–72.
Lee BWH, Tan JCK, Radjenovic M, Coroneo MT, Murrell DF. A review of scoring systems for ocular involvement in chronic cutaneous bullous diseases. Orphanet J Rare Dis. 2018;13(1):83.
Publication of this article was sponsored by the Natural Science Foundation of China (Grant No.82171028), Hunan Provincial Natural Science Foundation of China (Grant No. 2022JJ30065), and Clinical Medical Technology Innovation Guide Project of Hunan Province (Grant No. 2021SK53511).
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Ethics approval was granted from institutional human experimentation ethics committee of the Second Xiangya Hospital (approval number: LYF2021028). Written informed consent was obtained from all participants.
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Kang, H., Wu, M., Feng, J. et al. Ocular surface disorders affect quality of life in patients with autoimmune blistering skin diseases: a cross-sectional study. BMC Ophthalmol 22, 437 (2022). https://doi.org/10.1186/s12886-022-02663-w
- Ocular surface
- Autoimmune skin diseases
- Dry eye
- Quality of life