A hierarchical cluster analysis for clinical profiling of tofacitinib treatment response in patients with rheumatoid arthritis.
Sivakami JanahiramanNor Shuhaila ShahrilVivek Jason JayarajSuyin Ch'ngLiu Hong EowEashwary MageswarenAi Lee LimHwee Cheng ChongPing Seung OngAsmahan Mohamed IsmailSiti Mariam Ab RahimChun Ruh NgDayang Masyrinartie SuahilaiAzwarina Hanim RamlanChun Lai TooChee Onn LeongPublished in: Clinical rheumatology (2024)
Tofacitinib is the first oral JAK inhibitor approved for treating rheumatoid arthritis (RA). To enhance our understanding of tofacitinib drug response, we used hierarchical clustering to analyse the profiles of patient who responded to the treatment in a real-world setting. Patients who commenced on tofacitinib treatment were selected from 12 major rheumatology centres in Malaysia. The aim was to assess their response to tofacitinib defined as achieving DAS28-CRP/ESR ≤ 3.2 and DAS28 improvement > 1.2 at 12 weeks. A hierarchical clustering analysis was performed using sociodemographic and clinical parameters at baseline. All 163 RA patients were divided into three clusters (Clusters 1, 2 and 3) based on specific clinical factors at baseline including bone erosion, antibody positivity, disease activity and anaemia status. Cluster 1 consisted of RA patients without bone erosion, antibody negative, low baseline disease activity measure and absence of anaemia. Cluster 2 comprised of patients without bone erosion, RF positivity, anti-CCP negativity, moderate to high baseline disease activity score and absence of anaemia. Cluster 3 patients had bone erosion, antibody positivity, high baseline disease activity and anaemia. The response rates to tofacitinib varied among the clusters: Cluster 1 had a 79% response rate, Cluster 2 had a 66% response rate, and Cluster 3 had a 36% response rate. The differences in response rates between the three clusters were found to be statistically significant. This cluster analysis study indicates that patients who are seronegative and have low disease activity, absence of bone erosion and no signs of anaemia may have a higher likelihood of benefiting from tofacitinib therapy. By identifying clinical profiles that respond to tofacitinib treatment, we can improve treatment stratification yielding significant benefits and better health outcomes for individuals with RA.
Keyphrases
- rheumatoid arthritis
- disease activity
- systemic lupus erythematosus
- ankylosing spondylitis
- rheumatoid arthritis patients
- end stage renal disease
- juvenile idiopathic arthritis
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- case report
- bone mineral density
- patient reported outcomes
- soft tissue
- mesenchymal stem cells
- emergency department
- bone loss
- drug induced