Searching for a nutritional screening tool. The value of an analytical method when staff trained in clinical nutrition is not available

Morán-López, Jesús Manuel; León, María Piedra; Izquierdo, Fidel Jesús Enciso; Señarís, José Antonio Amado; Pérez, Luis Miguel Luengo

doi:10.1016/j.endien.2018.03.016

Cited by 2 publications

(1 citation statement)

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“…In Spain, data published over the past 10 years show that the prevalence of malnutrition in hospitalized patients ranges from 15.6 % to 86 % (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11). The largest such study was the PREDyCES study, conducted in 2009, which involved 31 centers and included 1,707 patients, where nutritional status was assessed using the NRS-2002 (Nutritional Risk Screening 2002) tool within 48 hours of admission, which showed a DRM prevalence of 23.7 % in admitted patients (3).…”

Section: Introductionmentioning

confidence: 99%

SeDREno study — prevalence of hospital malnutrition according to GLIM criteria, ten years after the PREDyCES study

et al. 2021

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Section: Introductionmentioning

confidence: 99%

SeDREno study — prevalence of hospital malnutrition according to GLIM criteria, ten years after the PREDyCES study

et al. 2021

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CONUT: a tool to assess nutritional status. First application in a primary care population

et al. 2020

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ObjectivesMalnutrition is an unfavorable prognostic factor associated with an increase in mortality, hospital stays, readmissions and resources consumption. The aim was to screen primary care patients for risk of malnutrition by using the control nutritional (CONUT) score, calculated through total lymphocytes count, serum albumin and total cholesterol, when the three markers were requested, and to compare results between primary care centers (PCC).MethodsThe clinical laboratory located in a 370-bed suburban University Community Hospital serves the Health Department inhabitants (2,34,551), attended in nine PCC. The laboratory information system (LIS) automatically calculated the CONUT score in every primary care patient over 18 years old, when all three laboratory markers were ordered by the General Practitioner. For all primary care patients, we collected demographic data, CONUT index and PCC. We classified results by PCC, and compared them.ResultsThe clinical laboratory received 74,743 requests from primary care. The CONUT score was calculated in 7,155 (12.28%) patients. Nine hundred seventy-six (13.6%) were at risk of malnutrition according to the CONUT score, mainly male (p<0.01) and over 65 (p<0.01). Detected cases of malnutrition were all mild, except 48 patients (4.9%) with moderate, and one (0.1%) with severe risk. The percentage of patients at risk of malnutrition was not significantly different among PCC, with the exception of one with patients at lower malnutrition risk.ConclusionsIt is possible to use CONUT score as a front-line population-wide laboratory marker to screen for the risk for malnutrition in primary care patients that was lower in one PCC.

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Searching for a nutritional screening tool. The value of an analytical method when staff trained in clinical nutrition is not available

Cited by 2 publications

References 11 publications

SeDREno study — prevalence of hospital malnutrition according to GLIM criteria, ten years after the PREDyCES study

SeDREno study — prevalence of hospital malnutrition according to GLIM criteria, ten years after the PREDyCES study

CONUT: a tool to assess nutritional status. First application in a primary care population

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