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Hosun Lee 2 Articles
Sequential Changes in Body Composition Using Bioelectrical Analysis during the Metabolic Response in Critically Ill Surgical Patients
Seok Rae Park, Seung Hwan Lee, Kyung Sik Kim, Hosun Lee, Tae Hwa Hong, Jae Gil Lee
Surg Metab Nutr 2017;8(1):13-16.   Published online June 30, 2017
DOI: https://doi.org/10.18858/smn.2017.8.1.13
AbstractAbstract PDFePub

Purpose:

Assessment of sequential changes in body composition during the metabolic response in critically ill surgical patients is essential for optimal nutritional support and management. Bioelectrical impedance analysis (BIA) is an easy, portable, and quick way to assess body composition. Thus, the aim of this study was to evaluate the sequential changes in body composition and the validity of Direct segmental Multi-frequency BIA in critically ill surgical patients.

Materials and Methods:

Twenty-three patients admitted to the intensive care unit (ICU) after major surgery were measured for body composition by multiple-frequency BIA after intensive care unit admission as well as 3 and 7 days later. Repeated-measures analysis of variance (ANOVA) was used to detect significant changes over time.

Results:

The average length of intensive care unit stay was 4.3 days. Total body water, extracellular water, skeletal muscle mass (SMM), soft lean mass, and fat-free mass (FFM) increased during the first 72 h of intensive care unit admission, after which they decreased slightly. On the other hand, fat mass decreased during the first 72 h of intensive care and then increased. However, arm circumference (AC), arm muscle circumference (AMC), and waist circumference (WC) gradually decreased by day 7 (P<0.001).

Conclusion:

In this study, AC, AMC, WC, and direct segmental Multi-frequency BIA were less affected by initial resuscitation in the intensive care unit (ICU). Therefore, segmental BIA may be useful for critical ill patients in altered hydration states.

Citations

Citations to this article as recorded by  
  • Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach
    Kyung Don Yoo, Junhyug Noh, Wonho Bae, Jung Nam An, Hyung Jung Oh, Harin Rhee, Eun Young Seong, Seon Ha Baek, Shin Young Ahn, Jang-Hee Cho, Dong Ki Kim, Dong-Ryeol Ryu, Sejoong Kim, Chun Soo Lim, Jung Pyo Lee, Sung Gyun Kim, Gang Jee Ko, Jung Tak Park, Ta
    Scientific Reports.2023;[Epub]     CrossRef
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Effects of Nutrition Consultation on Nutritional Status in Critically Ill Surgical Patients
Hee Sook Hwang, Seung Hwan Lee, Hosun Lee, Kyung Sik Kim, Seo Jin Chung, Jae Gil Lee
J Clin Nutr 2015;7(1):28-34.   Published online April 30, 2015
DOI: https://doi.org/10.15747/jcn.2015.7.1.28
AbstractAbstract PDFePub

Purpose:

The aim of this study was to investigate nutritional support status and effects of nutrition consultation in critically ill surgical patients.

Methods:

The medical records of 76 patients, admitted between June 1 and November 30, 2013, were reviewed retrospectively. Patients were divided into 2 groups: the nutrition consultation group (n=17) and the no consultation group (n=59). Patients were also divided into 3 groups: the enteral nutrition (EN) group (n=8), the parenteral nutrition (PN) group (n=25), and the enteral and parenteral mixed nutrition (ENPN) group. Total delivered/required caloric ratio and serum albumin, serum total protein, hemoglobin and other biochemical variables were compared in each group.

Results:

Mean daily required and delivered caloric/protein amount were EN group 60.0%, PN group 64.6%, and ENPN group 86.9%. ENPN group showed statistically significant difference when compared with EN group, PN group (P=0.005). When the proportion of patients who were fed more than 75% of the daily required calories was calculated, EN, PN, and ENPN showed 37.5%, 25.0% and 81.8%, respectively. ENPN group were significantly more supplied (P=0.007). Although neither the nutrition consultation group nor the non-consultation group received more than 80% of the daily required calories, the nutrition consultation group received 73% of the daily required calories whereas the no consultation group only received 46% (P=0.007). The total delivered/required protein ratio was approximately 69% of the nutrition consultation group and approximately 42% of the no consultation group (P=0.006).

Conclusion:

The results of providing nutritional consultation to intensive care unit patients showed an increase in the nutrition support. Nutrition education, continuous monitoring and management for nutritional support by systemic administration of a nutritional support team should be considered in order to achieve effective clinical outcomes in critically ill surgical patients.

Citations

Citations to this article as recorded by  
  • Early nutritional support for inpatients reduces admission rates to intensive care units in Korea: a single-center case-control study
    Hyun Suk Kim, Jae Do Yang, Se Wung Han, Mi Rin Lee, Da-Sol Kim, Sejin Lee, Seon-Hyeong Kim, Chan-Young Kim
    Annals of Clinical Nutrition and Metabolism.2024; 16(2): 57.     CrossRef
  • Clinical pharmacist interventions in nutrition-and drug-related problems in critically ill patients with renal dysfunction: a non-randomized controlled study
    Betül Özgan, Yunus Emre Ayhan, Sule Apikoglu, Sait Karakurt
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Physician Compliance with Nutrition Support Team Recommendations: Effects on the Outcome of Treatment for Critically Ill Patients
    Hyon-Ju Yon, Eun-Suk Oh, Ji Young Jang, Ji Yun Jang, Hongjin Shim
    Journal of Acute Care Surgery.2022; 12(1): 1.     CrossRef
  • Nutrition and Clinical Outcomes of Nutrition Support in Multidisciplinary Team for Critically Ill Patients
    Jeong Shin Lee, Ji Eun Kang, So Hyun Park, Hye Kyung Jin, Soo Min Jang, Sun Ah Kim, Sandy Jeong Rhie
    Nutrition in Clinical Practice.2018; 33(5): 633.     CrossRef
  • The Comparison of Improvement Effect in Patient’s Nutrition State according to the Adaptation of Nutrition Support Team’s Consultation
    권지은, 김순주, 나현오, 박애령
    Journal of Korean Society of Health-System Pharmacists.2017; 34(2): 147.     CrossRef
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