Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2018
Which Assessment Method of Malnutrition in Head and Neck Cancer?
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Saroul Nicolas, Pastourel Rémy, Mulliez Aurélien, Farigon Nicolas, Dupuch Vincent, Mom Thierry, Boirie Yves, Gilain Laurent
Аннотация
Objective To assess the value of several diagnostic methods of nutritional status during the initial management of a head and neck cancer. Study Design Single-center prospective study. Setting Tertiary referral center. Subjects and Methods Ninety patients with head and neck cancer participated in the study. Assessment of their nutritional status was made with anthropometric, biological, body, and muscle measurements (the last by computed tomography: L3 muscle mass index [L3MMI]). Assessment of muscle performance (functional reflection of nutritional status) was made via the Short Physical Performance Battery test. The malnutrition thresholds were set according to the literature. Results Mean body mass index (BMI) was 24.6 ± 5.4 kg/m2. Mean weight loss and albumin levels were -4.5 ± 10.5 kg and 37.1 ± 5.2 g/L, respectively. Fourteen percent of patients were diagnosed as malnourished on the basis of BMI, 54% according to the Nutritional Risk Index (NRI), and 58% by L3MMI. There was 64% agreement between NRI and L3MMI ( P < .001). All patients identified as malnourished by BMI were considered as such by the other assessment methods; however, many malnourished patients had normal or high BMI. The Short Physical Performance Battery score was low particularly among patients considered to be the most undernourished by the other methods. Conclusion NRI and L3MMI are the best methods to identify patients as being malnourished. Functional muscle assessment can determine the severity of malnutrition.
Предметные рубрики MeSH
AdultAgedAged, 80 and overAnthropometryBiomarkers, TumorBody Mass IndexFemaleHead and Neck NeoplasmsHumansMaleMalnutritionMiddle AgedNutrition AssessmentNutritional StatusPhysical Functional PerformancePrealbuminProspective StudiesRisk AssessmentRisk FactorsSensitivity and SpecificitySerum AlbuminTomography, X-Ray ComputedWeight Loss