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Kobayashi H, Inoue T, Ogawa M, Abe T, Tanaka T, Kakiuchi M. Malnutrition diagnosed by the Global Leadership Initiative on Malnutrition criteria as a predictor of gait ability in patients with hip fracture. Injury 2022; 53:3394-3400. [PMID: 35948508 DOI: 10.1016/j.injury.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 02/02/2023]
Abstract
AIM Malnutrition is common in patients with hip fractures and is associated with poor clinical outcomes. The Global Leadership Initiative on Malnutrition (GLIM) and the European Society for Clinical Nutrition and Metabolism (ESPEN) criteria are widely used to diagnose malnutrition. However, the criteria regarding the prediction of gait ability in patients with hip fractures during the acute phase remain unclear. We aimed to determine whether GLIM or ESPEN criteria were more appropriate for predicting gait ability at discharge from an acute hospital. METHODS This retrospective observational study included hip fracture patients aged ≥ 65 years. Patients were classified as malnourished or non-malnourished according to the GLIM and ESPEN criteria at admission. The primary outcome was gait ability, which was evaluated using functional ambulation categories (FAC) at discharge. We categorized into those with (FAC score ≥ 3 points) and without (< 3 points) improved gait ability. Logistic regression analysis for FAC was performed to determine whether GLIM or ESPEN was predictive of gait ability at discharge. RESULTS Overall 157 patients were included; the median age was 84 years, and 75.3% were female. The prevalence of malnutrition was 73.9% and 25.5% according to the GLIM and ESPEN criteria, respectively. Logistic regression analysis showed that malnutrition evaluated using the GLIM criteria were predictive of lower FAC at discharge (odds ratio, 0.394; 95% CI, 0.164-0.946), while ESPEN criteria did not show statistically significant differences (odds ratio, 0.625; 95% CI, 0.292-1.335). CONCLUSION GLIM criteria are useful for predicting gait ability at discharge during acute hospitalization in patients with hip fractures.
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Affiliation(s)
- Hikaru Kobayashi
- Department of Rehabilitation, Kobe City Nishi-Kobe Medical Center, 5-7-1 Kouzidai, Nisi-Ku, Kobe, Hyogo 651-2273, Japan
| | - Tatsuro Inoue
- Department of Physical Therapy, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata city 950-3198, Japan.
| | - Masato Ogawa
- Division of Rehabilitation Medicine, Kobe University Hospital, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan
| | - Takafumi Abe
- Department of Rehabilitation, Uonuma Kikan Hospital, 4132 Urasa, Minamionuma, Niigana 949-7302, Japan
| | - Toshiaki Tanaka
- Department of Rehabilitation, Kobe City Nishi-Kobe Medical Center, 5-7-1 Kouzidai, Nisi-Ku, Kobe, Hyogo 651-2273, Japan
| | - Masayoshi Kakiuchi
- Department of Rehabilitation, Kobe City Nishi-Kobe Medical Center, 5-7-1 Kouzidai, Nisi-Ku, Kobe, Hyogo 651-2273, Japan
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Huang S, Niu Y, Liu X, Gu Z, Huang A, Wu J. Characteristics of malnutrition according to Global Leadership Initiative on Malnutrition criteria in non-surgical patients with irritable bowel disease. Nutrition 2021; 94:111514. [PMID: 34844157 DOI: 10.1016/j.nut.2021.111514] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Malnutrition is common in patients with inflammatory bowel disease (IBD). The Global Leadership Initiative on Malnutrition (GLIM) was proposed to assess the severity and characteristics of malnutrition. Thus, we aimed to use the latest consensus on the diagnosis of malnutrition, GLIM criteria, to evaluate malnutrition in patients with IBD. METHODS We performed a retrospective cohort study of 73 adult patients with IBD (48 with Crohn disease and 25 with ulcerative colitis). Demographic data, clinical characteristics, and nutrition status defined by Nutritional Risk Screening (NRS) 2002 and GLIM criteria were recorded at enrollment. RESULTS According to the GLIM criteria, 43 (58.90%) patients were identified with malnutrition, and the incidence of mild to moderate malnutrition and severe malnutrition was 28.77% (21 of 73 patients) and 30.14% (22 of 73 patients), respectively. The severity of malnutrition in patients with IBD increased with the cumulative number of phenotypic criteria they met (P < 0.01). The difference in the number of etiologic indicators was only identified between patients with severe malnutrition and those without malnutrition (P < 0.05). Patients with Crohns disease had a significantly higher rate of muscle mass loss than patients with ulcerative colitis (P = 0.038) but a lower incidence of reduced food intake or assimilation (P = 0.039). CONCLUSION The prevalence of malnutrition according to the GLIM criteria was high in non-surgical patients with IBD, and as the degree of malnutrition worsened, more phenotypes and etiologic types appeared. The phenotypic and etiologic characteristics of GLIM were different in patients with Crohn disease than in those with ulcerative colitis.
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Affiliation(s)
- Shanshan Huang
- Department of Clinical Nutrition, Huadong Hospital, affiliated to Fudan University, Shanghai, China; Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Yang Niu
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Xiaowei Liu
- Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Zhengye Gu
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Aiyue Huang
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong
| | - Jiang Wu
- Department of Clinical Nutrition, Huadong Hospital, affiliated to Fudan University, Shanghai, China.
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Yin L, Liu J, Lin X, Li N, Shi M, Zhang H, Guo J, Chen X, Wang C, Wang X, Liang T, Liu X, Deng L, Li W, Fu Z, Song C, Cui J, Shi H, Xu H. Development and validation of a rapid-decision pathway to diagnose malnutrition in patients with lung cancer. Nutrition 2020; 84:111102. [PMID: 33453621 DOI: 10.1016/j.nut.2020.111102] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 11/25/2020] [Accepted: 11/25/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVES Malnutrition is frequently developed and outcome-related in patients with lung cancer (LC). Making a rapid and accurate diagnosis of malnutrition is the major concern for dietitians and clinicians. METHODS We performed a multicenter, observational cohort study including 1219 patients with LC. Malnutrition was diagnosed using the Global Leadership Initiative on Malnutrition criteria, and the study population was randomly divided into a training group (n = 914) and a validation group (n = 305). A nomogram (to diagnose malnutrition) and two decision trees (to diagnose and grade malnutrition, respectively) were independently developed and tested. A random forest algorithm was used to calculate relative variable importance. RESULTS The Global Leadership Initiative on Malnutrition criteria identified 292 patients with malnutrition (24%). Sex, body mass index, weight loss within 6 mo, weight loss beyond 6 mo, calf circumference, and handgrip strength to weight ratio were screened for model development. The nomogram showed good discrimination with an area under the curve (AUC) of 0.982 (95% confidence interval, 0.969-0.995) and good calibration in the validation group. A decision curve analysis demonstrated that the nomogram was clinically useful. The diagnostic tree showed an accuracy of 0.98 (Kappa = 0.942; AUC = 0.978; 95% confidence interval, 0.964-0.992), and the classification tree showed an accuracy of 0.98 (Kappa = 0.955; AUC = 0.987) in the validation group. Weight loss within 6 mo contributed the largest importance to both trees. CONCLUSIONS This study presents a rapid-decision pathway, including a set of tools that can be conveniently used to facilitate the diagnosis and severity grading of malnutrition in patients with LC.
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Affiliation(s)
- Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China; Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Muli Shi
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hongmei Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jing Guo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiao Chen
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Chang Wang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Xu Wang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Tingting Liang
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Xiangliang Liu
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Li Deng
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhenming Fu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Chunhua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jiuwei Cui
- Cancer Center of the First Hospital of Jilin University, Changchun, Jilin, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
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