Publications by authors named "P E H Seys"

Context: Patients with gastrointestinal cancer are at high risk for deterioration of nutrition. Home parenteral nutrition (HPN) could improve nutritional status and quality of life (QoL).

Objectives: The purpose of this study was 1) to evaluate the impact of HPN on QoL, 2) to assess changes in nutritional status, and 3) to assess proxy perception of patient well-being.

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Malnutrition is a bad prognostic factor that reduces the quality of life (QoL) in patients with cancer. The objective was to assess the impact of home parenteral nutrition (HPN) on the QoL of elderly malnourished patients with cancer. This French prospective observational study included patients, aged 70 years or older, with cancer, for whom HPN was prescribed for at least 14 days.

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Purpose: Malnutrition is a predictor of poor outcomes in patients with cancer. Little is known about the benefit of nutritional support in these patients. The purpose of this study was to assess the impact of home parenteral nutrition (HPN) on quality of life (Qol) in cancer patients.

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Objective: To compare clinical and radiological outcomes of four dynamic treatment strategies in recent-onset rheumatoid arthritis (RA) after 5 years follow-up.

Methods: 508 patients with recent-onset RA were randomly assigned into four treatment strategies: sequential monotherapy; step-up combination therapy; initial combination with prednisone; initial combination with infliximab. Treatment adjustments were made based on 3-monthly disease activity score (DAS) measurements (if DAS >2.

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Objectives: To develop a matrix model for the prediction of rapid radiographic progression (RRP) in subpopulations of patients with recent-onset rheumatoid arthritis (RA) receiving different dynamic treatment strategies.

Methods: Data from 465 patients with recent-onset RA randomised to receive initial monotherapy or combination therapy were used. Predictors for RRP (increase in Sharp-van der Heijde score > or =5 after 1 year) were identified by multivariate logistic regression analysis.

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