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1.
Ophthalmology ; 130(7): 692-701, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-36809816

RESUMO

PURPOSE: To examine the frequency and risk factors for ocular pain after laser assisted in situ keratomileusis (LASIK) and photorefractive keratectomy (PRK). DESIGN: Prospective study of individuals undergoing refractive surgery at 2 different centers. PARTICIPANTS: One hundred nine individuals undergoing refractive surgery: 87% LASIK and 13% PRK. METHODS: Participants rated ocular pain on a numerical rating scale (NRS) of 0 to 10 before surgery and 1 day, 3 months, and 6 months after surgery. A clinical examination focused on ocular surface health was performed 3 and 6 months after surgery. Persistent ocular pain was defined as an NRS score of 3 or more at both 3 and 6 months after surgery (patients), and this group was compared with individuals with NRS scores of < 3 at both time points (control participants). MAIN OUTCOME MEASURES: Individuals with persistent ocular pain after refractive surgery. RESULTS: The 109 patients who underwent refractive surgery were followed up for 6 months after surgery. Mean age was 34 ± 8 years (range, 23-57 years); 62% self-identified as female, 81% as White, and 33% as Hispanic. Eight patients (7%) reported ocular pain (NRS score ≥ 3) before surgery, with the frequency of ocular pain increasing after surgery to 23% (n = 25) at 3 months and 24% (n = 26) at 6 months. Twelve patients (11%) reported an NRS score of 3 or more at both time points and constituted the persistent pain group. Factors that predicted persistent pain after surgery in a multivariable analysis were (1) ocular pain before surgery predicated persistent pain after surgery (odds ratio [OR], 1.87; 95% confidence interval [CI], 1.06-3.31), (2) symptom report of depression before surgery (Patient Health Questionnaire-9: OR, 1.3; 95% CI, 1.1-1.6; P = 0.01), (3) use of an oral antiallergy medication before surgery (OR, 13.6; 95% CI, 2.1-89.3; P = 0.007), and (4) pain intensity day 1 after surgery (OR, 1.6; 95% CI, 1.2-2.2; P = 0.005). There were no significant associations between ocular surface signs of tear dysfunction and ocular pain, P > 0.05 for all ocular surface signs. Most individuals (> 90%) were completely or somewhat satisfied with their vision at 3 and 6 months. CONCLUSIONS: Eleven percent of individuals reported persistent ocular pain after refractive surgery, with several preoperative and perioperative factors predicting pain after surgery. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.


Assuntos
Ceratomileuse Assistida por Excimer Laser In Situ , Miopia , Ceratectomia Fotorrefrativa , Humanos , Feminino , Adulto , Lasers de Excimer/uso terapêutico , Estudos Prospectivos , Ceratectomia Fotorrefrativa/efeitos adversos , Ceratomileuse Assistida por Excimer Laser In Situ/efeitos adversos , Córnea , Dor/etiologia , Dor/cirurgia , Dor Ocular/diagnóstico , Dor Ocular/etiologia , Fatores de Risco , Refração Ocular
2.
Ocul Surf ; 28: 58-78, 2023 04.
Artigo em Inglês | MEDLINE | ID: mdl-36764654

RESUMO

PURPOSE: Human tears contain abundant, diverse sets of proteins that may serve as biomarkers of ocular surface health. There is a need for reproducible methods that consider multiple factors influencing the tear proteome, in addition to the variable of interest. Here we examined a workflow for proteomic analysis of tear proteins without the need to pool tear samples from multiple individuals, thus allowing for analyses based on individual factors, and increasing opportunities for protein biomarker discovery. METHODS: Tears were collected by Schirmer strip following topical ocular anesthetic application then individually stored at -80 °C prior to processing for proteomics. Tear proteins were extracted from Schirmer strips, digested using suspension trapping spin columns (S-Trap), and labeled with high multiplicity tandem mass tags (TMT). Peptide digests were then extensively fractionated by two-dimensional chromatography and analyzed by mass spectrometry to identify and measure changes in protein abundance in each sample. Analysis of select samples was performed to test protocols and to compare the impact of clinically relevant parameters. To facilitate comparison of separate TMT experiments, common pool samples were included in each TMT instrument run and internal reference scaling (IRS) was performed. RESULTS: Differences in subsets of tear proteins were noted for: geographic site of tear collection, contact lens use, and differences in tear fluid volume among individuals. CONCLUSION: These findings demonstrate that proteomic analysis of human tear proteins can be performed without the need to pool samples, and that development of analytic workflows must consider factors that may affect outcomes in studies focused on diverse clinical samples.


Assuntos
Proteômica , Projetos de Pesquisa , Humanos , Proteômica/métodos , Lágrimas/metabolismo , Proteínas do Olho/metabolismo
3.
Cornea ; 2022 Dec 13.
Artigo em Inglês | MEDLINE | ID: mdl-36729650

RESUMO

PURPOSE: Gut microbiome alterations have been associated with various autoimmune diseases. There are limited data, however, on relationships between gut dysbiosis and immune-related dry eye (DE). Our aim was to compare the gut microbiome composition of individuals with early and late markers of Sjögren syndrome (SS) with controls without DE. METHODS: We compared 20 individuals with positive early markers [antisalivary protein 1 (SP1), antiparotid secretory protein (PSP), anticarbonic anhydrase 6 (CA6) IgG, IgA, and IgM, n = 19)], or late markers (anti-Ro/SS-A and anti-La/SS-B, n = 1) of SS with no comorbid autoimmune diagnoses and 20 age-matched and sex-matched controls. Collected stool samples underwent deep RNA sequencing. The main outcomes measured included gut microbiome composition and diversity. RESULTS: A total of 20 cases [Dry Eye Questionnaire-5 15.2 ± 3.4, Ocular Surface Disease Index 55.1 ± 22.8, and Schirmer 7.1 ± 5.2 mm] were compared with 20 controls (Dry Eye Questionnaire-5 4.8 ± 3.8, Ocular Surface Disease Index 14.2 ± 12.3, and Schirmer 20.4 ± 9.2 mm). No differences were observed in α-diversity (P = 0.97) or overall community structure (P = 0.62). Between groups, 32 species were differentially abundant (P < 0.01). Among cases, 27 were relatively more abundant, including 10 Lactobacillus and 4 Bifidobacterium species. A relative depletion of 5 species was found in cases compared with controls, notably Fusobacterium varium and Prevotella stercorea. CONCLUSIONS: Differences in gut microbiome composition were found in individuals with mostly early markers of SS compared with controls. However, their clinical significance to DE manifestations remains unclear. Further studies are needed to elucidate the role of gut dysbiosis on immune dysregulation and disease activity in the various forms of immune-mediated DE.

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