[PDF][PDF] Improved disease course associated with early initiation of biologics in polyarticular juvenile idiopathic arthritis: trajectory analysis of a Childhood Arthritis and …

MS Ong, S Ringold, Y Kimura… - Arthritis & …, 2021 - Wiley Online Library
Objective To investigate the effects of early introduction of biologic disease‐modifying
antirheumatic drugs (bDMARDs) on the disease course in untreated polyarticular juvenile …

Four trajectories of 24-hour urine protein levels in real-world lupus nephritis cohorts

D Zhang, F Sun, J Chen, H Ding, X Wang, N Shen… - RMD open, 2023 - rmdopen.bmj.com
Objectives A 24-hour urine protein (24hUP) is a key measurement in the management of
lupus nephritis (LN); however, trajectories of 24hUP in LN is poorly defined. Methods Two …

Disease activity trajectories for early and established rheumatoid arthritis: Real-world data from a rheumatoid arthritis cohort

M Movahedi, A Cesta, X Li, C Bombardier… - Plos one, 2022 - journals.plos.org
Objectives Disease activity status described at fixed time points does not accurately reflect
disease course in chronic and relapsing diseases such as rheumatoid arthritis (RA). We …

Identifying longitudinal cognitive resilience from cross-sectional amyloid, tau, and neurodegeneration

R Boyle, DL Townsend, HM Klinger… - Alzheimer's Research & …, 2024 - Springer
Abstract Background Leveraging Alzheimer's disease (AD) imaging biomarkers and
longitudinal cognitive data may allow us to establish evidence of cognitive resilience (CR) to …

[HTML][HTML] Latent class trajectory modelling: impact of changes in model specification

C Watson, N Geifman, AG Renehan - American Journal of …, 2022 - ncbi.nlm.nih.gov
Latent class trajectory models (LCTMs) are often used to identify subgroups of patients that
are clinically meaningful in terms of longitudinal exposure and outcome, eg drug response …

Nothing about us without us: involving patient collaborators for machine learning applications in rheumatology

SJW Shoop-Worrall, K Cresswell, I Bolger… - Annals of the …, 2021 - ard.bmj.com
Novel machine learning methods open the door to advances in rheumatology through
application to complex, high-dimensional data, otherwise difficult to analyse. Results from …

Factors associated with drug survival on first biologic therapy in patients with rheumatoid arthritis: a population-based cohort study

ME Naffaa, F Hassan, A Golan-Cohen… - Rheumatology …, 2021 - Springer
Lack of sufficient head-to-head trials comparing biologic disease-modifying antirheumatic
drugs (bDMARDs) in rheumatoid arthritis (RA), makes the choice of the first bDMARD a …

Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models

JA Reynolds, J Prattley, N Geifman, M Lunt… - Arthritis research & …, 2021 - Springer
Background Systemic lupus erythematosus (SLE) is a heterogeneous systemic autoimmune
condition for which there are limited licensed therapies. Clinical trial design is challenging in …

Distinct long-term disease activity trajectories differentiate early on treatment with etanercept in both rheumatoid arthritis and spondylarthritis patients: a prospective …

I Flouri, P Goutakoli, A Repa, A Bertsias… - Rheumatology …, 2024 - Springer
To characterize disease activity trajectories and compare long-term drug retention between
rheumatoid (RA) and spondylarthritis (SpA) patients initiating tumor necrosis factor inhibitor …

Predicting Medical Outcomes

R Bellazzi, A Dagliati, G Nicora - … Systems in Medicine and Health: The …, 2022 - Springer
Clinical outcomes are measurable changes in health, function or quality of life that result
from patients' care. The capability of predicting changes related to specific care actions …