J D Tammam1, L Gardner, M Hickson. 1. Imperial College Healthcare NHS Trust, Department of Nutrition and Dietetics, Charing Cross Hospital, London, UK.
Abstract
BACKGROUND: Nutritional screening tools are central to identifying malnourished patients, but their efficacy is often reduced as a result of difficulties in obtaining height for body mass index (BMI) calculations. The present study aimed to evaluate the validity, reliability and acceptability of the Imperial Nutritional Screening System (INSYST); a tool that does not require the BMI. METHODS: Patients were screened by the researcher within 72 h of admission using INSYST I & II, Malnutrition Universal Screening Tool (MUST) and Mini Nutritional Assessment (MNA), including taking height and weight. Routine INSYST data, completed by nursing staff, were subsequently collected. At risk and malnourished patients were combined for statistical analysis. Inter-tool and inter-rater agreement (kappa, kappa) was evaluated. Sensitivity and specificity were calculated. Nurses were timed using INSYST. Acceptability, including ease and speed of use, was evaluated. RESULTS: Kappa (agreement) scores (all P < 0.001) were substantial for INSYST I versus MUST and MNA (kappa = 0.73 and kappa = 0.76, respectively) and moderate for INSYST II (both kappa = 0.53). The sensitivity of INSYST I and II was high (95-100%), whereas specificity was lower (65-83%). The agreement between dietitian and nurse for INSYST I was substantial kappa = 0.77 and that for INSYST II was fair kappa = 0.39 (both P <or= 0.001). There was little disagreement for INSYST I, although nurses tended to underestimate malnutrition risk when using INSYST II. INSYST I took a median of 60 s to complete, INSYST II took 102 s and weighing took 100 s, giving a total time of approximately 5 min. Likert scales showed that the majority of nurses scored INSYST as being fast and easy to use. CONCLUSIONS: INSYST has shown promising levels of concurrent validity (versus MUST and MNA), inter-rater reliability and acceptability, suggesting that BMI (and therefore height) is unnecessary for identifying malnourished patients.
BACKGROUND: Nutritional screening tools are central to identifying malnourished patients, but their efficacy is often reduced as a result of difficulties in obtaining height for body mass index (BMI) calculations. The present study aimed to evaluate the validity, reliability and acceptability of the Imperial Nutritional Screening System (INSYST); a tool that does not require the BMI. METHODS:Patients were screened by the researcher within 72 h of admission using INSYST I & II, Malnutrition Universal Screening Tool (MUST) and Mini Nutritional Assessment (MNA), including taking height and weight. Routine INSYST data, completed by nursing staff, were subsequently collected. At risk and malnourished patients were combined for statistical analysis. Inter-tool and inter-rater agreement (kappa, kappa) was evaluated. Sensitivity and specificity were calculated. Nurses were timed using INSYST. Acceptability, including ease and speed of use, was evaluated. RESULTS: Kappa (agreement) scores (all P < 0.001) were substantial for INSYST I versus MUST and MNA (kappa = 0.73 and kappa = 0.76, respectively) and moderate for INSYST II (both kappa = 0.53). The sensitivity of INSYST I and II was high (95-100%), whereas specificity was lower (65-83%). The agreement between dietitian and nurse for INSYST I was substantial kappa = 0.77 and that for INSYST II was fair kappa = 0.39 (both P <or= 0.001). There was little disagreement for INSYST I, although nurses tended to underestimate malnutrition risk when using INSYST II. INSYST I took a median of 60 s to complete, INSYST II took 102 s and weighing took 100 s, giving a total time of approximately 5 min. Likert scales showed that the majority of nurses scored INSYST as being fast and easy to use. CONCLUSIONS: INSYST has shown promising levels of concurrent validity (versus MUST and MNA), inter-rater reliability and acceptability, suggesting that BMI (and therefore height) is unnecessary for identifying malnourished patients.
Authors: Pascal Probst; Juri Fuchs; Michael R Schön; Georgios Polychronidis; Christos Stravodimos; Arianeb Mehrabi; Markus K Diener; Philipp Knebel; Markus W Büchler; Katrin Hoffmann Journal: Hepatobiliary Surg Nutr Date: 2020-08 Impact factor: 7.293
Authors: Pascal Probst; Juri Fuchs; Michael R Schoen; Georgios Polychronidis; Tobias Forster; Arianeb Mehrabi; Alexis Ulrich; Philipp Knebel; Katrin Hoffmann Journal: Int J Surg Protoc Date: 2017-09-09
Authors: Max Heckler; Ulla Klaiber; Felix J Hüttner; Sebastian Haller; Thomas Hank; Henrik Nienhüser; Philip Knebel; Markus K Diener; Thilo Hackert; Markus W Büchler; Pascal Probst Journal: J Cachexia Sarcopenia Muscle Date: 2021-09-20 Impact factor: 12.910
Authors: Carlos Serón-Arbeloa; Lorenzo Labarta-Monzón; José Puzo-Foncillas; Tomas Mallor-Bonet; Alberto Lafita-López; Néstor Bueno-Vidales; Miguel Montoro-Huguet Journal: Nutrients Date: 2022-06-09 Impact factor: 6.706
Authors: Pascal Probst; Sebastian Haller; Colette Dörr-Harim; Thomas Bruckner; Alexis Ulrich; Thilo Hackert; Markus K Diener; Phillip Knebel Journal: JMIR Res Protoc Date: 2015-11-16