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1.
Clin Nutr ; 33(3): 558-61, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24054278

ABSTRACT

BACKGROUND & AIMS: To evaluate the relationship between mortality and nutritional risk associated with disease activity in Systemic Sclerosis (SSc). METHODS: A single-centre prospective cohort study involving 160 SSc outpatients (median age, 62 years [25th-75th, 54-68]). Nutritional risk was assessed by the Malnutrition Universal Screening Tool (MUST), a screening tool that combines anthropometric parameters of nutritional status (body mass index [BMI] and percentage of unintentional weight loss [WL]) with the presence of an "acute disease" (as defined by a disease activity score ≥3 according to Valentini's criteria). RESULTS: Prevalence of high nutritional risk (MUST score ≥2) was 24.4% [95%CI, 17.4-31.3]. A low nutritional risk (MUST = 1) was detected in 30% of our study sample. In hazard analysis (median follow-up duration = 46 months [25th-75th percentile, 31-54]), high nutritional risk was significantly associated with mortality (HR = 8.3 [95%CI, 2.1-32.1]). The performance of the model based on nutritional risk including disease activity (Harrell's c = 0.74 [95%CI, 0.59-0.89]) was superior to that based on active disease alone (HR = 6.3 [95%CI, 1.8-21.7]; Harrell's c = 0.68 [95%CI, 0.53-0.84]). Risk scored only by anthropometric parameters (prevalence, 9.4% [95%CI, 4.6-14.2]) was not associated with mortality: HR = 2.8 [95%CI, 0.6-13.2]. CONCLUSIONS: In SSc outpatients MUST significantly predicts mortality. The combined assessment of nutritional parameters and disease activity significantly improves the evaluation of mortality risk. Disease-related nutritional risk screening should be systematically included in the clinical workup of every SSc patient.


Subject(s)
Malnutrition/mortality , Nutrition Assessment , Nutritional Status , Scleroderma, Systemic/mortality , Aged , Body Composition , Body Mass Index , Female , Humans , Male , Malnutrition/diagnosis , Malnutrition/etiology , Middle Aged , Prevalence , Prospective Studies , Risk Factors , Scleroderma, Systemic/complications , Weight Loss
2.
Clin Nutr ; 31(5): 666-71, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22417677

ABSTRACT

BACKGROUND & AIM: Disease-related malnutrition is known to negatively affect clinical outcomes. The aim of the present study was to evaluate the prevalence of malnutrition in a cohort of outpatients affected by Systemic Sclerosis (SSc) and its association with clinical variables. METHODS: One hundred sixty SSc patients were consecutively evaluated. The following clinical variables were assessed: disease duration, activity and severity, treatments, functional status, gastrointestinal involvement. Nutritional assessment included: body mass index (BMI), weight loss (WL) history, nutritional intakes and serum prealbumin. Malnutrition was defined as BMI <20 kg/m² and/or previous 6-month WL ≥ 10%. RESULTS: Prevalence of malnutrition was 15% (10-21%). Logistic regression showed that malnutrition was independently associated with disease activity (OR 3.72; p < 0.001) and low serum prealbumin (OR 8.58; p < 0.001). The association with gastrointestinal involvement was not statistically significant, although a trend was detected (OR 1.88). CONCLUSION: Malnutrition is common in SSc outpatients. It appears associated with disease activity and not influenced by nutritional intakes; gastrointestinal involvement might contribute to its development over time. Serum prealbumin could be an early marker of malnutrition in SSc, whose role should be confirmed by further longitudinal investigations. Prospective studies are also required to clarify the clinical significance of the association between malnutrition and disease activity in SSc.


Subject(s)
Inflammation/epidemiology , Malnutrition/epidemiology , Scleroderma, Systemic/epidemiology , Aged , Cohort Studies , Comorbidity , Cross-Sectional Studies , Female , Humans , Inflammation/physiopathology , Logistic Models , Male , Middle Aged , Multivariate Analysis , Nutrition Assessment , Outpatients , Prealbumin/analysis , Prevalence
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