Preliminary nomogram model for predicting irreversible organ damage of patients with systemic sclerosis

X Huo, X Huang, Y Yang, C Wei, D Meng… - …, 2024 - academic.oup.com
Objective To investigate predictive factors for irreversible organ damage in systemic
sclerosis (SSc) and establish a nomogram model. Methods This retrospective study included …

A preliminary nomogram model for predicting organ damage of patients with diffuse Systemic sclerosis

HUO Xiaocong, X HUANG, Y Yanting… - 2023 - researchsquare.com
Background The clinical manifestations of SSc are highly heterogeneous, and there is still
no clinical predictive model that can accurately predict prognosis and guide treatment …

[HTML][HTML] Anemia is an indicator for worse organ damage trajectories in patients with systemic sclerosis: a retrospective study

Z Li, D Xu, X Jiang, T Li, Y Su, R Mu - Journal of Clinical Medicine, 2022 - mdpi.com
It is important for clinicians to determine the risk of worsening trajectories in SSc patients.
The Scleroderma Clinical Trials Consortium (SCTC) Damage Index (DI) has been …

POS0836 ORGAN DAMAGE ACCRUAL AND ONE-YEAR MORTALITY IN SYSTEMIC SCLEROSIS: A PROSPECTIVE OBSERVATIONAL STUDY

L Cano-Garcia, AG Studer, F Ortiz-Márquez… - 2024 - ard.bmj.com
Background: Systemic sclerosis (SSc) is a clinically heterogeneous and pathogenically
complex disease where disease activity and damage can occur simultaneously, making it …

Prediction of prognosis in patients with systemic sclerosis based on a machine-learning model

Y Zheng, W Jin, Z Zheng, K Zhang, J Jia, C Lei… - Clinical …, 2024 - Springer
Objective The clinical manifestations of systemic sclerosis (SSc) are highly variable,
resulting in varied outcomes and complications. Diverse fibrosis of the skin and internal …

[HTML][HTML] Development and validation of machine learning for early mortality in systemic sclerosis

C Foocharoen, W Thinkhamrop, N Chaichaya… - Scientific Reports, 2022 - nature.com
Clinical predictors of mortality in systemic sclerosis (SSc) are diversely reported due to
different healthcare conditions and populations. A simple predictive model for early mortality …

Measures of disease status in systemic sclerosis: a systematic review

T Tay, N Ferdowsi, M Baron, W Stevens… - Seminars in arthritis and …, 2017 - Elsevier
Objectives To identify and appraise measures of disease status in systemic sclerosis (SSc).
Methods A systematic review of Medline (1966–2015), EMBASE (1974–2015), and …

AB0608 Predictive factors for long-term survival and disease progression of systemic sclerosis–a longitudinal analysis

AM Gheorghiu, A Radu, R Oneata, A Soare, R Dobrota… - 2017 - ard.bmj.com
Background Systemic sclerosis (ScS) has unpredictable course and high mortality.
Generalised Estimating Equations (GEE) is a technique useful for longitudinal data analysis …

Survival and causes of death in systemic sclerosis patients: a single center registry report from Iran

H Poormoghim, E Andalib, A Jalali, A Ghaderi… - Rheumatology …, 2016 - Springer
The aims of the study were to determine prognostic factors for survival and causes of death
in a cohort of patients with systemic sclerosis (SSc). This was a cohort study of SSc patients …

A prediction model for progressive disease in systemic sclerosis

J Meijs, AA Schouffoer, NA Marsan, T Stijnen… - RMD open, 2015 - rmdopen.bmj.com
Objective To develop a model that assesses the risk for progressive disease in patients with
systemic sclerosis (SSc) over the short term, in order to guide clinical management. Methods …