Dissecting the clinical heterogeneity of adult-onset Still’s disease: results from a multi-dimensional characterization and stratification

Author:

Berardicurti Onorina1ORCID,Conforti Alessandro1,Iacono Daniela2,Pantano Ilenia2,Caso Francesco3ORCID,Emmi Giacomo4,Grembiale Rosa Daniela5,Cantatore Francesco Paolo6,Atzeni Fabiola7,Perosa Federico8,Scarpa Raffaele3,Guggino Giuliana9ORCID,Ciccia Francesco2,Giacomelli Roberto10,Cipriani Paola1,Ruscitti Piero1

Affiliation:

1. Rheumatology Unit, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila

2. Rheumatology Section, Department of Precision Medicine, University of Campania ‘Luigi Vanvitelli’

3. Department of Clinical Medicine and Surgery, School of Medicine, Rheumatology Unit, University of Naples Federico II, Naples

4. Department of Experimental and Clinical Medicine, University of Firenze, Italy

5. Department of Health Sciences, University of Catanzaro ‘Magna Graecia’, Catanzaro

6. Department of Medical and Surgery Sciences, Rheumatology Unit, University of Foggia, Foggia

7. Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Messina, Messina

8. Department of Biomedical Sciences and Human Oncology (DIMO), Rheumatic and Systemic Autoimmune Diseases Unit, University of Bari Medical School, Bari

9. Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Rheumatology section, University of Palermo, Palermo

10. Department of Medicine, Unit of Allergology, Immunology, Rheumatology, University of Campus Bio-Medico of Rome, Rome, Italy

Abstract

Abstract Objectives To stratify adult-onset Still’s disease (AOSD) patients in distinct clinical subsets to be differently managed, by using a multi-dimensional characterization. Methods AOSD patients were evaluated by using a hierarchical unsupervised cluster analysis comprising age, laboratory markers systemic score and outcomes. The squared Euclidean distances between each pair of patients were calculated and put into a distance matrix, which served as the input clustering algorithm. Derived clusters were descriptively analysed for any possible difference. Results Four AOSD patients clusters were identified. Disease onset in cluster 1 was characterized by fever (100%), skin rash (92%) and arthritis (83%), with the highest ferritin levels [mean (S.D.) 14 724  (6837) ng/ml]. In cluster 2, the onset was characterized by fever (100%), arthritis (100%) and liver involvement (90%), together with the highest CRP levels [288.10  (46.01) mg/l]. The patients in cluster 3 presented with fever (100%), myalgia (96%) and sore throat (92%). The highest systemic score values [8.88  (1.70)] and the highest mortality rate (54.2%) defined cluster 3. Fever (100%) and arthritis (90%) were the symptoms at the onset in cluster 4, which was characterized by the lowest ferritin and CRP levels [1457  (1298) ng/ml and 54.98  (48.67) mg/l, respectively]. Conclusion Four distinct phenotypic subgroups in AOSD could be suggested, possibly associated with different genetic background and pathogenic mechanisms. Our results could provide the basis for a precision medicine approach in AOSD in an attempt to find a clinical and laboratory multidimensional stratification and characterization, which would drive a tailored therapeutic approach in these patients.

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Rheumatology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3