Disease-related nutritional risk and mortality in systemic sclerosis.
Clin Nutr
; 33(3): 558-61, 2014 Jun.
Article
en En
| 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.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Esclerodermia Sistémica
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Evaluación Nutricional
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Estado Nutricional
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Desnutrición
Tipo de estudio:
Diagnostic_studies
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Etiology_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Año:
2014
Tipo del documento:
Article