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DOI 10.1016/j.jaut.2024.103318

Медицинская библиотека · Journal of autoimmunity · 2024

Clinical correlates of lifetime and current comorbidity patterns in autoimmune and inflammatory diseases.

Hässler Signe, Lorenzon Roberta, Binvignat Marie, Ribet Claire, Roux Alexandra, Johanet Catherine, Amouyal Chloé, Amselem Serge, Berenbaum Francis, Benveniste Olivier, Cacoub Patrice, Grateau Gilles, Hartemann Agnès, Saadoun David, Salem Joe-Elie, Sellam Jérémie, Seksik Philippe, Vicaut Eric, Mariotti-Ferrandiz Encarnita, Rosenzwajg Michelle, Klatzmann David

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Autoimmune and inflammatory diseases (AIDs) are a heterogeneous group of disorders with diverse etiopathogenic mechanisms. This study explores the potential utility of family history, together with present and past comorbidities, in identifying distinct etiopathogenic subgroups. This approach may facilitate more accurate diagnosis, prognosis and personalized therapy.

METHODS

We performed a multiple correspondence analysis on patients' comorbidities, followed by hierarchical principal component clustering of clinical data from 48 healthy volunteers and 327 patients with at least one of 19 selected AIDs included in the TRANSIMMUNOM cross-sectional study.

RESULTS

We identified three distinct clusters characterized by: 1) the absence of comorbidities, 2) polyautoimmunity, and 3) polyinflammation. These clusters were further distinguished by specific comorbidities and biological parameters. Autoantibodies, allergies, and viral infections characterized the polyautoimmunity cluster, while older age, BMI, depression, cancer, hypertension, periodontal disease, and dyslipidemia characterized the polyinflammation cluster. Rheumatoid arthritis patients were distributed across all three clusters. They had higher DAS28 and prevalence of extra-articular manifestations when belonging to the polyinflammation and polyautoimmunity clusters, and also lower ACPA and RF seropositivity and higher pain scores within the polyinflammation cluster. We developed a model allowing to classify AID patients into comorbidity clusters.

CONCLUSIONS

In this study, we have uncovered three distinct comorbidity profiles among AID patients. These profiles suggest the presence of distinct etiopathogenic mechanisms underlying these subgroups. Validation, longitudinal stability assessment, and exploration of their impact on therapy efficacy are needed for a comprehensive understanding of their potential role in personalized medicine.

Для цитирования: Hässler Signe, Lorenzon Roberta, Binvignat Marie, Ribet Claire, Roux Alexandra, Johanet Catherine, Amouyal Chloé, Amselem Serge, Berenbaum Francis, Benveniste Olivier, Cacoub Patrice, Grateau Gilles, Hartemann Agnès, Saadoun David, Salem Joe-Elie, Sellam Jérémie, Seksik Philippe, Vicaut Eric, Mariotti-Ferrandiz Encarnita, Rosenzwajg Michelle, Klatzmann David. Clinical correlates of lifetime and current comorbidity patterns in autoimmune and inflammatory diseases.. Journal of autoimmunity. 2024. DOI: 10.1016/j.jaut.2024.103318.

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