Nutrition Screening in the Pediatric Intensive Care Unit: Evaluation of an Electronic Medical Record-Based Tool

被引:1
|
作者
Hilbrands, Julia [1 ]
Feuling, Mary Beth [1 ]
Szabo, Aniko [2 ]
Teng, Bi Q. [2 ]
Fabus, Nicole [1 ]
Froh, Melissa [1 ]
Heisler, Rebecca [1 ]
Lampone, Olivia [1 ]
Smith, Amber [3 ]
Mikhailov, Theresa A. [4 ]
Goday, Praveen S. [5 ]
机构
[1] Childrens Wisconsin, Clin Nutr, Milwaukee, WI 53226 USA
[2] Med Coll Wisconsin, Div Biostat, Milwaukee, WI 53226 USA
[3] Univ Calif San Francisco Hlth, Nutr Serv, San Francisco, CA 94143 USA
[4] Med Coll Wisconsin, Pediat Crit Care, Milwaukee, WI 53226 USA
[5] Nationwide Childrens Hosp, Pediat Gastroenterol, Columbus, OH 43205 USA
关键词
critical illness; malnutrition; nutrition assessment; nutrition support; MALNUTRITION; CHILDREN; SOCIETY;
D O I
10.3390/nu15214591
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Hospitalized, critically ill children are at increased risk of developing malnutrition. While several pediatric nutrition screening tools exist, none have been validated in the pediatric intensive care units (PICU). The Children's Wisconsin Nutrition Screening Tool (CWNST) is a unique nutrition screening tool that includes the Pediatric Nutrition Screening Tool (PNST) and predictive elements from the electronic medical record and was found to be more sensitive than the PNST in acute care units. The aim of this study was to assess the performance of the tool in detecting possible malnutrition in critically ill children. The data analysis, including the results of the current nutrition screening, diagnosis, and nutrition status was performed on all patients admitted to PICUs at Children's Wisconsin in 2019. All 250 patients with >= 1 nutrition assessment by a dietitian were included. The screening elements that were predictive of malnutrition included parenteral nutrition, positive PNST, and BMI-for-age/weight-for-length z-score. The current screen had a sensitivity of 0.985, specificity of 0.06, positive predictive value (PPV) of 0.249, and negative predictive value of 0.929 compared to the PNST alone which had a sensitivity of 0.1, specificity of 0.981, PPV of 0.658, and NPV of 0.749. However, of the 250 included patients, 97.2% (243) had a positive nutrition screen. The CWNST can be easily applied through EMRs and predicts the nutrition risk in PICU patients but needs further improvement to improve specificity.
引用
下载
收藏
页数:9
相关论文
共 50 条
  • [41] Implementation of an Innovative Palliative Care Screening Tool in the Pediatric Intensive Care Unit: A Pilot Study
    Hodge, Caitlyn H.
    Kerris, Elizabeth W. J.
    Freeman, Michelle C.
    Eckman, Susannah T.
    Deeter, Deana M.
    Even, Katelyn M.
    JOURNAL OF PALLIATIVE MEDICINE, 2024, 27 (03) : 307 - 315
  • [42] Novel Electronic Medical Record-Based Stroke Registry System
    Chang, Chien-Hung
    Lee, Tsong-Hai
    Chang, Yeu-Jhy
    Chang, Ku-Chou
    Shieh, Mengkai
    Shieh, Yao
    2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2014, : 187 - 188
  • [43] A Novel Electronic Medical Record-Based Diabetes Screening Program in the Emergency Department of an Urban Academic Medical Institution
    Danielson, Kirstie K.
    Rydzon, Brett
    Eisenberg, Yuval
    Layden, Brian T.
    Lin, Janet
    DIABETES, 2022, 71
  • [44] Electronic Medical Record-Based Predictive Model for Acute Kidney Injury in an Acute Care Hospital
    Laszczyska, Olga
    Severo, Milton
    Azevedo, Ana
    EXPLORING COMPLEXITY IN HEALTH: AN INTERDISCIPLINARY SYSTEMS APPROACH, 2016, 228 : 810 - 812
  • [45] AN EVALUATION OF THE PEDIATRIC ONCOLOGY NUTRITION SCREENING TOOL
    Murphy, A.
    White, M.
    Davies, P. S. W.
    PEDIATRIC BLOOD & CANCER, 2014, 61 : S148 - S148
  • [46] An Intensive Care Specific Electronic Medical Record: Is There Transparency?
    Sites, Frank D.
    Rich, Victoria L.
    Hanson, C. William
    2007 JOINT WORKSHOP ON HIGH CONFIDENCE MEDICAL DEVICES, SOFTWARE AND SYSTEMS AND MEDICAL DEVICE PLUG-AND PLAY INTEROPERABILITY, 2007, : 137 - 139
  • [47] Development of an Electronic Medical Record-Based Clinical Decision Support Tool to Improve HIV Symptom Management
    Nader, Claudia M.
    Tsevat, Joel
    Justice, Amy C.
    Mrus, Joseph M.
    Levin, Forrest
    Kozal, Michael J.
    Mattocks, Kristin
    Farber, Steven
    Rogers, Michelle
    Erdos, Joseph
    Brandt, Cynthia
    Kudel, Ian
    Braithwaite, Ronald
    AIDS PATIENT CARE AND STDS, 2009, 23 (07) : 521 - 529
  • [48] Design and α-testing of an electronic rounding tool (CERTAINp) to improve process of care in pediatric intensive care unit
    Hulyalkar, Manasi
    Gleich, Stephen J.
    Kashyap, Rahul
    Barwise, Amelia
    Kaur, Harsheen
    Dong, Yue
    Fan, Lei
    Murthy, Srinivas
    Arteaga, Grace M.
    Tripathi, Sandeep
    JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2017, 31 (06) : 1313 - 1320
  • [49] Design and α-testing of an electronic rounding tool (CERTAINp) to improve process of care in pediatric intensive care unit
    Manasi Hulyalkar
    Stephen J. Gleich
    Rahul Kashyap
    Amelia Barwise
    Harsheen Kaur
    Yue Dong
    Lei Fan
    Srinivas Murthy
    Grace M. Arteaga
    Sandeep Tripathi
    Journal of Clinical Monitoring and Computing, 2017, 31 : 1313 - 1320
  • [50] Implementing Electronic Health Record-Based Quality Measures for Developmental Screening
    Jensen, Roxanne E.
    Chan, Kitty S.
    Weiner, Jonathan P.
    Fowles, Jinnet B.
    Neale, Shannon M.
    PEDIATRICS, 2009, 124 (04) : E648 - E654