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1.
Int J Rheum Dis ; 22(2): 262-268, 2019 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-30450819

RESUMEN

AIM: Discrepancies exist between international treatment guidelines and current Australian Pharmaceutical Benefits Scheme (PBS) criteria for funding biologic disease-modifying antirheumatic drug (bDMARD) prescribing in psoriatic arthritis (PsA). We aimed to determine the prevalence of minimal disease activity (MDA) achievement and differences in inflammatory marker levels between PsA patients who have and have not met the Australian PBS criteria for bDMARDs. METHOD: Consecutive participants diagnosed with PsA were assessed for MDA components and serum inflammatory markers. For those on bDMARDs, joint counts and inflammatory markers at the time of bDMARD qualification were compared with matched rheumatoid arthritis (RA) controls. RESULTS: Minimal disease activity was achieved by 56/105 participants overall. There were no differences in inflammatory marker levels or involved joint count patterns between the PsA and RA groups at the time of bDMARD qualification. Seventy-three percent of the 53 PsA patients on bDMARD achieved MDA, vs 33% in the non-bDMARD group (P < 0.001). More bDMARD than non-bDMARD patients achieved four out of seven MDA components. Of those with any enthesitis, its prevalence was higher in the non-bDMARD group (22 vs 10, P = 0.009). Regardless of treatment, there was no difference in inflammatory marker levels between those who did and did not achieve MDA. CONCLUSION: The Australian PBS criteria, funding bDMARD prescribing for PsA, select well for MDA achievers. A high prevalence of MDA non-achievement remains in patients ineligible for bDMARD funding, and enthesitis in this population is more common. Inflammatory markers were not discriminators between treatment or MDA achievement groups.


Asunto(s)
Antirreumáticos/uso terapéutico , Artritis Psoriásica/tratamiento farmacológico , Artritis Psoriásica/epidemiología , Productos Biológicos/uso terapéutico , Toma de Decisiones Clínicas , Articulaciones/efectos de los fármacos , Evaluación de Procesos y Resultados en Atención de Salud , Selección de Paciente , Adulto , Anciano , Anciano de 80 o más Años , Artritis Psoriásica/sangre , Artritis Psoriásica/diagnóstico por imagen , Biomarcadores/sangre , Femenino , Humanos , Mediadores de Inflamación/sangre , Articulaciones/diagnóstico por imagen , Masculino , Persona de Mediana Edad , Guías de Práctica Clínica como Asunto , Prevalencia , Inducción de Remisión , Índice de Severidad de la Enfermedad , Australia del Sur/epidemiología , Factores de Tiempo , Resultado del Tratamiento
2.
Arthritis Res Ther ; 13(1): R7, 2011 Jan 27.
Artículo en Inglés | MEDLINE | ID: mdl-21272347

RESUMEN

INTRODUCTION: With the development of increasing numbers of potential therapeutic agents in inflammatory disease comes the need for effective biomarkers to help screen for drug efficacy and optimal dosing regimens early in the clinical trial process. This need has been recognized by the Outcome Measures in Rheumatology Clinical Trials (OMERACT) group, which has established guidelines for biomarker validation. To seek a candidate synovial biomarker of treatment response in psoriatic arthritis (PsA), we determined whether changes in immunohistochemical markers of synovial inflammation correlate with changes in disease activity scores assessing 28 joints (ΔDAS28) or magnetic resonance imaging synovitis scores (ΔMRI) in patients with PsA treated with a biologic agent. METHODS: Twenty-five consecutive patients with PsA underwent arthroscopic synovial biopsies and MRI scans of an inflamed knee joint at baseline and 12 weeks after starting treatment with either anakinra (first 10 patients) or etanercept (subsequent 15 patients) in two sequential studies of identical design. DAS28 scores were measured at both time points. Immunohistochemical staining for CD3, CD68 and Factor VIII (FVIII) was performed on synovial samples and scored by digital image analysis (DIA). MRI scans performed at baseline and at 12 weeks were scored for synovitis semi-quantitatively. The ΔDAS28 of the European League Against Rheumatism good response definition (>1.2) was chosen to divide patients into responder and non-responder groups. Differences between groups (Mann Whitney U test) and correlations between ΔDAS28 with change in immunohistochemical and MRI synovitis scores (Spearman's rho test) were calculated. RESULTS: Paired synovial samples and MRI scans were available for 21 patients (8 anakinra, 13 etanercept) and 23 patients (8 anakinra, 15 etanercept) respectively. Change in CD3 (ΔCD3) and CD68 expression in the synovial sublining layer (ΔCD68sl) was significantly greater in the disease responders compared to non-responders following treatment (P = 0.005 and 0.013 respectively). ΔCD3, but not ΔCD68 or ΔFVIII, correlated with both ΔDAS28 (r = 0.49, P = 0.025) and ΔMRI (r = 0.58, P = 0.009). CONCLUSIONS: The correlation of ΔCD3 with ΔDAS28 and ΔMRI following biologic treatment in this cohort contributes to the validation of ΔCD3 as a synovial biomarker of disease response in PsA, and supports the further evaluation of ΔCD3 for predictive properties of future clinical outcomes.


Asunto(s)
Antirreumáticos/uso terapéutico , Artritis Psoriásica/inmunología , Biomarcadores/análisis , Complejo CD3/análisis , Sinovitis/tratamiento farmacológico , Subgrupos de Linfocitos T/inmunología , Adulto , Artritis Psoriásica/tratamiento farmacológico , Artritis Psoriásica/patología , Artroscopía , Complejo CD3/inmunología , Etanercept , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Inmunoglobulina G/uso terapéutico , Inmunohistoquímica , Proteína Antagonista del Receptor de Interleucina 1/uso terapéutico , Articulación de la Rodilla/inmunología , Articulación de la Rodilla/patología , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Receptores del Factor de Necrosis Tumoral/uso terapéutico , Membrana Sinovial/inmunología , Membrana Sinovial/patología , Sinovitis/inmunología , Sinovitis/patología , Resultado del Tratamiento
3.
Rheumatol Int ; 28(9): 895-9, 2008 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-18278500

RESUMEN

Previous studies have demonstrated an increased risk of breast cancer among patients with systemic sclerosis (scleroderma). To describe the clinical characteristics of 21 patients with both systemic sclerosis and breast cancer, and compare their risk factors to female scleroderma patients without breast cancer, in a population-based cohort study of South Australia. Subjects with scleroderma and breast cancer were identified from the South Australian Scleroderma Register with cross-linking to the South Australian Cancer Registry, last updated to the end of December 2005. Clinical information was obtained from standardised self-administered questionnaires and case note reviews. Odds ratios for the risk factors for breast cancer in scleroderma were determined, and clinical variables were analysed using chi square, Fisher's exact, Mann-Whitney and t tests. At the end of December 2005 there were a total of 389 female patients with scleroderma. Of these, 21 (5.4%) had been diagnosed with breast cancer. The mean age of onset of scleroderma was 43.5 years, and the mean age of breast cancer was 60.5 years in those with scleroderma and breast cancer. The majority (71.4%) had limited scleroderma, with anti-centromere antibody being the most prevalent serological abnormality. In 16 (76%) patients the diagnosis of breast cancer occurred on an average of 22.3 years after the onset of their first scleroderma symptom. When compared to 48 controls, scleroderma patients with breast cancer were found to have a higher incidence of a positive family history of breast cancer (Fisher's exact test, p = 0.04) and a lower incidence of hormone-replacement therapy use (Fisher's exact test, p = 0.0026). This population-based cohort study provides evidence that the majority of patients with scleroderma and breast cancer have limited scleroderma and anti-centromere antibody. Given the increased incidence of solid tumours in systemic sclerosis, we suggest regular screening of female patients for breast cancer, especially in those with a family history.


Asunto(s)
Neoplasias de la Mama/complicaciones , Sistema de Registros , Esclerodermia Sistémica/complicaciones , Adulto , Anciano , Estudios de Casos y Controles , Estudios de Cohortes , Femenino , Humanos , Persona de Mediana Edad , Australia del Sur
4.
Ann Rheum Dis ; 66(4): 551-3, 2007 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-16984943

RESUMEN

OBJECTIVES: To study potential risk factors for the development of lung cancer in patients with scleroderma and explore the chronological relationship between onset of scleroderma symptoms and subtypes of lung cancer. METHOD: Linkage of two population-based registers to identify lung cancer cases and gender-matched controls with scleroderma, followed by retrospective case note review for clinical details. RESULTS: Patients with scleroderma who smoke are seven times more likely to develop lung cancer than non-smokers (p=0.008). Smokers with scleroderma and cancer smoke more than smokers with scleroderma without cancer (p=0.019). Pulmonary fibrosis and anti-topoisomerase antibody do not increase the risk of lung cancer. Peripheral lung tumours occur earlier after the onset of scleroderma symptoms than bronchogenic tumours (p=0.05). CONCLUSIONS: Smokers with scleroderma should be monitored for the presence of lung cancer and counselled to quit smoking. The earlier development of peripheral lung tumours is not consistent, with pulmonary fibrosis being an aetiological factor.


Asunto(s)
Neoplasias Pulmonares/etiología , Esclerodermia Sistémica/complicaciones , Edad de Inicio , Anciano , Métodos Epidemiológicos , Femenino , Humanos , Neoplasias Pulmonares/epidemiología , Masculino , Persona de Mediana Edad , Fibrosis Pulmonar/complicaciones , Fibrosis Pulmonar/epidemiología , Esclerodermia Limitada/complicaciones , Esclerodermia Limitada/epidemiología , Esclerodermia Sistémica/epidemiología , Fumar/efectos adversos , Fumar/epidemiología , Australia del Sur/epidemiología , Factores de Tiempo
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