Evaluation of malnutrition development risk in hospitalized children

Autor: Omer F. Beser, Fugen Cullu Cokugras, Tulay Erkan, Tufan Kutlu, Rasit V. Yagci, Deniz Ertem, Güniz Yaşöz, Hasan Ali Yüksekkaya, Reha Artan, Zerrin Önal, Mehmet Enes Coşkun, Ayşen Aydoğan, Pelin Zorlu, Meltem Akçaboy, Mahya Sultan Tosun, Nafiye Urgancı, Reyhan Gümüştekin Kaya, Mehmet Satar, Aysel Yüce, Asuman Nur Karhan, Hasret Ayyıldız Civan, Erhun Kasırga, Burcu Volkan, Alev Cansu Certel, Ahmet Güzelçiçek, Tanju Özkan, Kaan Demirören, Sadık Akşit, Şule Gökçe, Sirmen Kızılcan, Buket Dalgıç, Zeliha Demirtaş, Adem Karbuz, Ayhan Gazi Kalaycı, Aliye Gülbahçe, Talip Sayar, Serhat Güler, Fesih Aktar, Aydan Kansu, Cansu Altuntaş, Dilfuza Ağalıoğlu, Duran Arslan, Hasan Karakurt, Soner Sazak, Oya Baltalı Halıcıoğlu, Gülberat İnce, Gonca Üstündağ, Yasemin Dilek Soysal, Neslihan Karacabey, Nur Arslan, Yeşim Öztürk, Pınar Kuyum, Uğur Deveci, Mukadder Ayşe Selimoğlu, Fatma İlknur Varol, Burcu Güven, Güzide Doğan, Murat Çakır, Fulya Gülerman, Esra Dursun, Esin Kıyan, Ali Evrim Doğan, Feza Kırbıyık
Přispěvatelé: DOĞAN, GÜZİDE, Ege Üniversitesi
Rok vydání: 2018
Předmět:
Popis: WOS: 000428609400007
PubMed ID: 29469018
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. (C) 2017 The Author(s). Published by Elsevier Inc.
Nutricia Advanced Medical Nutrition
This study was supported by Nutricia Advanced Medical Nutrition.
Databáze: OpenAIRE