Evidence map›Paper›PMID 42613091›Full record

ArticleBMJ open ophthalmology2026

Identifying symptom-based subgroups in Sjögren's disease: a latent class analysis of a patient co-designed survey.

Gráinne Tynan, Deirdre Collins, Eileen Sheehy, Monika Lauder, Valeria Lima Passos, Joan Ní Gabhann-Dromgoole

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Article in BMJ open ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gráinne TynanSjögren's Ireland, Dublin, Ireland.
Deirdre CollinsSjögren's Ireland, Dublin, Ireland.
Eileen SheehySjögren's Ireland, Dublin, Ireland.
Monika LauderSjögren's Ireland, Dublin, Ireland.
Valeria Lima PassosSchool of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Joan Ní Gabhann-DromgooleSchool of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland joannigabhann@rcsi.ie.ORCID http://orcid.org/0000-0002-4247-3952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify symptom-based subgroups in Sjögren's disease using patient-reported data and explore differences in symptom burden, functional impact, psychological distress and healthcare priorities. METHODS AND ANALYSIS: This secondary analysis used cross-sectional data from a patient co-designed online survey conducted between June and September 2022. Individuals self-identifying as living with Sjögren's disease (diagnosed or symptomatic) were eligible to participate. Latent class analysis was applied to 24 patient-reported symptom variables. European Alliance of Associations for Rheumatology (EULAR) Sjögren's Syndrome Patient Reported Index and the Hospital Anxiety and Depression Scale were used in post hoc analyses to characterise and compare classes.

resultsA total of 296 respondents were included. Four symptom-based subgroups were identified: a sicca-predominant low-burden group (Class 1), a fatigue-dryness dominant group (Class 2), a musculoskeletal-cognitive group (Class 3) and a multisystem high-severity group (Class 4). Symptom burden, psychological distress and functional impact differed significantly across classes (all p<0.001). Inability to work increased from 3.4% in Class 1 to 33.9% in Class 4 (p<0.001). Higher-burden classes also reported greater unmet healthcare needs. Urgent need for effective treatments increased from 56% in Class 1 to 86% in Class 4 (p=0.0031), while urgent need for diagnostic testing increased from 38% to 68% (p<0.0001). Improved education of doctors and other healthcare professionals was consistently identified as a priority for improving care across all classes.

conclusionPatient-reported data identified clinically interpretable symptom-based subgroups in Sjögren's disease that differed in symptom burden, psychological distress, functional impact and perceived unmet healthcare need. These findings support multidimensional patient-reported assessment for characterising disease heterogeneity and informing patient-centred care. Limitations include the cross-sectional design and reliance on self-reported data.

Indexed as

Quality of LifeSjogren's SyndromeAdultAgedCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedPatient Reported Outcome MeasuresPsychological DistressSurveys and QuestionnairesSymptom BurdenAnxietyDepressionEpidemiologyPublic health

Identifiers

PMID42613091
PMCPMC13504914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.