Gewählte Publikation:
SHR
Neuro
Krebs
Kardio
Lipid
Stoffw
Microb
Lackner, A; Duftner, C; Ficjan, A; Gretler, J; Hermann, J; Husic, R; Graninger, WB; Dejaco, C.
The association of clinical parameters and ultrasound verified inflammation with patients' and physicians' global assessments in psoriatic arthritis.
Semin Arthritis Rheum. 2016; 46(2):183-189
Doi: 10.1016/j.semarthrit.2016.05.010
Web of Science
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
-
Dejaco Christian
-
Lackner Angelika
- Co-Autor*innen der Med Uni Graz
-
Ficjan Anja
-
Graninger Winfried
-
Gretler Judith
-
Hermann Josef
-
Husic Rusmir
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- OBJECTIVES: To study the association of clinical and/or ultrasound variables with patients' (PGA) and physicians' (EGA) global assessment of disease activity in psoriatic arthritis (PsA). The correlation of these parameters with the discordance between PGA and EGA, as well as with PGA/EGA changes over 6 months was also investigated. METHODS: Prospective study of 83 consecutive PsA patients with 2 visits scheduled 6 months apart. All patients underwent the following assessments: tender (TJC) and swollen joint count (SJC), PASI, dactylitis and Leeds enthesitis index. PGA, patients' level of pain (pain VAS), EGA, and HAQ were also recorded. Grey scale (GS) and power Doppler (PD) ultrasound were performed at 68 joints (evaluating synovia and tendons) and 14 entheses. Regression analyses were performed to assess the association of these variables with PGA and EGA. Two new variables "PGAminusEGA" and "PGAchange - EGAchange" were developed to explore the discrepancy between PGA and EGA and the consistency of PGA/EGA changes over time, respectively. RESULTS: The parameters explaining most of PGA and EGA variability were pain VAS (30.5%) and SJC (48.5%), respectively. The correlation between EGA and joint counts was stronger in patients with high vs. low levels of ultrasound verified inflammation. PGAminusEGA was mainly explained by pain and SJC. Pain was the most important predictor of PGA change whereas TJC and HAQ were more closely associated with EGA changes. "PGAchange-EGAchange" was linked to pain and SJC. Ultrasound scores were not linked with either of these variables. CONCLUSIONS: Pain VAS and joint counts are the most important clinical parameters explaining patients' and physicians' perception of disease activity, whereas the correlation of active inflammation as verified by sonography with these factors is limited.
- Find related publications in this database (using NLM MeSH Indexing)
-
Adult - administration & dosage
-
Arthritis, Psoriatic - diagnostic imaging
-
Female - administration & dosage
-
Foot Joints - diagnostic imaging
-
Hand Joints - diagnostic imaging
-
Humans - administration & dosage
-
Inflammation - diagnostic imaging
-
Male - administration & dosage
-
Middle Aged - administration & dosage
-
Severity of Illness Index - administration & dosage
-
Symptom Assessment - administration & dosage
-
Ultrasonography - administration & dosage
- Find related publications in this database (Keywords)
-
Disease activity
-
Psoriatic arthritis
-
Ultrasound
-
Global assessment