Omer F Beser1, Fugen Cullu Cokugras2, Tulay Erkan2, Tufan Kutlu2, Rasit V Yagci3. 1. Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Okmeydani Education and Training Hospital, Istanbul, Turkey. Electronic address: Ofbeser@gmail.com. 2. Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey. 3. Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Ege University Medical Faculty, Izmir, Turkey.
Abstract
OBJECTIVES: Many screening methods, such as the Screening Tool Risk on Nutritional Status and Growth (STRONGkids) and the Pediatric Yorkhill Malnutrition Score (PYMS), have been developed to detect malnutrition in pediatric patients. We aimed to explore the prevalence of malnutrition risk in hospitalized children via symptoms and identification of contributing factors, and to examine the efficacy of malnutrition screening tools for hospitalized children. METHODS: STRONGkids and PYMS were applied to 1513 inpatients at 37 hospitals in 26 cities from different regions of Turkey. Physical measurements were collected at hospital admission and at discharge. z-Scores of height-for-age, weight-for-age, weight-for-height, and body mass index-for-age were calculated. RESULTS: Overall, 1513 patients were included in the study. A body mass index standard deviation score of less than -2 was present in 9.5% of the study population at hospital admission, whereas 11.2% of the participants had a weight-for-length/height score of less than -2 at hospital admission. According to STRONGkids results, the proportion of the patients with an underlying chronic disease was higher for the patients at high risk of malnutrition than for the patients at medium or low risk (91% compared with 47% or 45%, respectively). PYMS results indicated that patients at high risk of malnutrition have more chronic diseases (75%) than the patients at medium or low risk of malnutrition (55% and 44%, respectively). CONCLUSIONS: Use of anthropometric measurements in addition to screening tools to identify hospital malnutrition (such as PYMS, STRONGkids) will prevent some nutritional risk patients from being overlooked.
OBJECTIVES: Many screening methods, such as the Screening Tool Risk on Nutritional Status and Growth (STRONGkids) and the Pediatric Yorkhill Malnutrition Score (PYMS), have been developed to detect malnutrition in pediatric patients. We aimed to explore the prevalence of malnutrition risk in hospitalized children via symptoms and identification of contributing factors, and to examine the efficacy of malnutrition screening tools for hospitalized children. METHODS: STRONGkids and PYMS were applied to 1513 inpatients at 37 hospitals in 26 cities from different regions of Turkey. Physical measurements were collected at hospital admission and at discharge. z-Scores of height-for-age, weight-for-age, weight-for-height, and body mass index-for-age were calculated. RESULTS: Overall, 1513 patients were included in the study. A body mass index standard deviation score of less than -2 was present in 9.5% of the study population at hospital admission, whereas 11.2% of the participants had a weight-for-length/height score of less than -2 at hospital admission. According to STRONGkids results, the proportion of the patients with an underlying chronic disease was higher for the patients at high risk of malnutrition than for the patients at medium or low risk (91% compared with 47% or 45%, respectively). PYMS results indicated that patients at high risk of malnutrition have more chronic diseases (75%) than the patients at medium or low risk of malnutrition (55% and 44%, respectively). CONCLUSIONS: Use of anthropometric measurements in addition to screening tools to identify hospital malnutrition (such as PYMS, STRONGkids) will prevent some nutritional risk patients from being overlooked.
Authors: Yoo Min Lee; Eell Ryoo; Jeana Hong; Ben Kang; Byung-Ho Choe; Ji-Hyun Seo; Ji Sook Park; Hyo-Jeong Jang; Yoon Lee; Eun Jae Chang; Ju Young Chang; Hae Jeong Lee; Ju Young Kim; Eun Hye Lee; Hyun Jin Kim; Ju-Young Chung; You Jin Choi; So Yoon Choi; Soon Chul Kim; Ki-Soo Kang; Dae Yong Yi; Kyung Rye Moon; Ji Hyuk Lee; Yong Joo Kim; Hye Ran Yang Journal: Nutr Res Pract Date: 2020-09-22 Impact factor: 1.926