1
|
García-Mateo S, Martínez-Domínguez SJ, Gargallo-Puyuelo CJ, Villarino MTA, Laredo V, Gallego B, Alfambra E, Sanz B, Gomollón F. When metabolic comorbidities and risk of malnutrition coexist: The new era of inflammatory bowel disease. Am J Med Sci 2024:S0002-9629(24)01393-4. [PMID: 39098709 DOI: 10.1016/j.amjms.2024.07.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 07/27/2024] [Accepted: 07/30/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) and risk of malnutrition can coexist in patients with inflammatory bowel disease (IBD). We performed a malnutrition risk assessment as part of the standard follow-up of IBD patients and studied the potential risk factors for being at risk of malnutrition based on the presence or absence of MASLD. METHODS The Malnutrition Universal Screening Tool (MUST) was used to screen malnutrition risk (MUST ≥ 1) and controlled attenuation parameter (CAP ≥ 248 dB/min) to assess MASLD. Adherence to a Mediterranean diet, physical activity, and quality of life were also assessed. RESULTS Of 686 evaluated IBD patients, 130 (18.9%) were identified as being at risk of malnutrition. Patients without MASLD (n=89 [68.5%]) were more likely to be at risk than those with MASLD (n=41 [31.5%], p=0.005). However, among patients at risk of malnutrition, those with MASLD were more likely to have active IBD (82.9%) than patients without MASLD (39.3%, p<0.001). Female sex (OR 1.984, p=0.027) and young age (OR 1.014, p=0.006) were associated with malnutrition risk only in patients with IBD without MASLD. Being at risk of malnutrition was associated with worse quality of life (p<0.001), especially in IBD patients with MASLD. CONCLUSIONS Malnutrition risk and quality of life are modified by the presence of MASLD in IBD patients.
Collapse
Affiliation(s)
- Sandra García-Mateo
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain; School of Medicine, University of Zaragoza, 50009, Zaragoza, Spain.
| | - Samuel Jesús Martínez-Domínguez
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain; School of Medicine, University of Zaragoza, 50009, Zaragoza, Spain
| | - Carla Jerusalén Gargallo-Puyuelo
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain; School of Medicine, University of Zaragoza, 50009, Zaragoza, Spain
| | - María Teresa Arroyo Villarino
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; School of Medicine, University of Zaragoza, 50009, Zaragoza, Spain
| | - Viviana Laredo
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain
| | - Beatriz Gallego
- Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain
| | - Erika Alfambra
- Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain
| | - Borja Sanz
- Department of Endocrinology, Manises Hospital, 46940, Valencia, Spain
| | - Fernando Gomollón
- Department of Gastroenterology, Lozano Blesa University Clinical Hospital, 50009, Zaragoza, Spain; Aragón Health Research Institute (IIS Aragón), 50009, Zaragoza, Spain; School of Medicine, University of Zaragoza, 50009, Zaragoza, Spain
| |
Collapse
|
2
|
Kurik G, Kelly-Bissue C, Lõhmus A, Muhhamedjanov K, Ilves N, Forbes A. Standardising and simplifying the Global Leadership Initiative on Malnutrition (GLIM) for its more general application. Clin Nutr ESPEN 2024; 62:120-127. [PMID: 38901933 DOI: 10.1016/j.clnesp.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 04/27/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Malnutrition is present in 20-50% of hospital patients but its recognition is often neither timely nor complete. The Global Leadership Initiative on Malnutrition (GLIM) aims to improve this, but its successful implementation may be compromised by its dependence on (a choice of) prior screening tools and difficulties in consistent assessment of muscle mass. AIMS To explore different approaches to screening and muscle assessment in GLIM and to offer simpler choices for its more widespread application. METHODS (1) Data from 300 consenting in-patients provided Nutritional Risk Screening (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Subjective Global Assessment (SGA) scores. GLIM scoring was preceded by NRS-2002 or MUST (using threshold scores of 1 or 2 for MUST), or no prior screening. The results of GLIM scoring preceded by different screening approaches were compared with those of SGA. (2) The literature on mid-upper arm circumference (MUAC) and calf circumference (CC) as simple, non-invasive, objective methods of muscle assessment methods was reviewed (3) The cumulative times taken to obtain GLIM scores were measured and corrected for the different screening strategies. RESULTS (1) Participants' mean age was 60 years, 157 (52%) were female and mean BMI was 27.8 kg/m2. In comparison with SGA, GLIM with no prior screening had the highest sensitivity (65%) and negative predictive value (NPV) (76%), but the lowest specificity (90%) and positive predictive value (PPV) (84%). The equivalent figures for GLIM with prior MUST "1" were 62%, 75%, 93% and 88%; with prior NRS-2002, 55%∗, 73%, 98%∗ and 95%∗; and with prior MUST "2", 44%∗, 69%∗, 98%∗, 95%∗. The area under an ROC curve was the highest (0.78) when GLIM was performed without screening or with prior MUST "1". (2) Being less affected by oedema and gender differences than calf circumference, MUAC could serve as a standard globally accessible muscle mass assessment method which can be supplemented by technical approaches if available and deemed necessary. (3) The overall per-capita time requirement of GLIM was 240-245 s without prior screening, and was increased by 2-3% with prior MUST "1", by 27-29% with prior NRS-2002 and decreased by 8-9% with prior MUST "2". CONCLUSIONS Preceding GLIM by screening can decrease its sensitivity and increase overall time utilisation; "gold standard" muscle assessment is not globally accessible. Our results therefore support considering using GLIM as a combined screening and assessment tool, with MUAC as the method of muscle assessment which can be supplemented by technical approaches if available and deemed necessary. This could potentially both simplify the use of GLIM and improve the early detection of malnutrition. ∗Indicates statistically significant difference from use of GLIM without prior screening.
Collapse
Affiliation(s)
- G Kurik
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia
| | - C Kelly-Bissue
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia
| | - A Lõhmus
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia
| | - K Muhhamedjanov
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia
| | - N Ilves
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia
| | - A Forbes
- Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia.
| |
Collapse
|
3
|
Huang H, Wang Q, Luo Y, Tang Z, Liu F, Zhang R, Cai G, Huang J, Zhang L, Zeng L, Cao X, Yang J, Wang Y, Wang K, Li Y, Li Q, Chen X, Dong Z. Validity and applicability of the global leadership initiative on malnutrition criteria in non-dialysis patients with chronic kidney disease. Front Nutr 2024; 11:1340153. [PMID: 38362100 PMCID: PMC10867223 DOI: 10.3389/fnut.2024.1340153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024] Open
Abstract
Introduction There are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the consistency of different GLIM criteria with Subjective Global Assessment (SGA) and protein-energy wasting (PEW). Methods In this study, nutritional risk screening 2002 first four questions (NRS-2002-4Q), Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Mini-Nutritional Assessment Short-Form (MNA-SF) tools were used as the first step of nutritional risk screening for the GLIM. The RMM is expressed using different metrics. The SGA and PEW were used to diagnose patients and classify them as malnourished and non-malnourished. Kappa (κ) tests were used to compare the concordance between the SGA, PEW, and GLIM of each combination of screening tools. Results A total of 157 patients were included. Patients with Chronic kidney disease (CKD) stage 1-3 accounted for a large proportion (79.0%). The prevalence rates of malnutrition diagnosed using the SGA and PEW were 18.5% and 19.7%, respectively. The prevalence of GLIM-diagnosed malnutrition ranges from 5.1% to 37.6%, depending on the different screening methods for nutritional risk and the different indicators denoting RMM. The SGA was moderately consistent with the PEW (κ = 0.423, p < 0.001). The consistency among the GLIM, SGA, and PEW was generally low. Using the NRS-2002-4Q to screen for nutritional risk, GLIM had the best agreement with SGA and PEW when skeletal muscle index (SMI), fat-free mass index (FFMI), and hand grip strength (HGS) indicated a reduction in muscle mass (SGA: κ = 0.464, 95% CI 0.28-0.65; PEW: κ = 0.306, 95% CI 0.12-0.49). Conclusion The concordance between the GLIM criteria and the SGA and PEW depended on the screening tool used in the GLIM process. The inclusion of RMM in the GLIM framework is important. The addition of HGS could further improve the performance of the GLIM standard compared to the use of body composition measurements.
Collapse
Affiliation(s)
- Hui Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qian Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yayong Luo
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhengchun Tang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Fang Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Ruimin Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jing Huang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Li Zeng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Xueying Cao
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Jian Yang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yong Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Keyun Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Yaqing Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| | - Qihu Li
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zheyi Dong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, China
| |
Collapse
|
4
|
Ravaioli F, De Maria N, Di Marco L, Pivetti A, Casciola R, Ceraso C, Frassanito G, Pambianco M, Pecchini M, Sicuro C, Leoni L, Di Sandro S, Magistri P, Menozzi R, Di Benedetto F, Colecchia A. From Listing to Recovery: A Review of Nutritional Status Assessment and Management in Liver Transplant Patients. Nutrients 2023; 15:2778. [PMID: 37375682 DOI: 10.3390/nu15122778] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/04/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Liver transplantation (LT) is a complex surgical procedure requiring thorough pre- and post-operative planning and care. The nutritional status of the patient before, during, and after LT is crucial to surgical success and long-term prognosis. This review aims to assess nutritional status assessment and management before, during, and after LT, with a focus on patients who have undergone bariatric surgery. We performed a comprehensive topic search on MEDLINE, Ovid, In-Process, Cochrane Library, EMBASE, and PubMed up to March 2023. It identifies key factors influencing the nutritional status of liver transplant patients, such as pre-existing malnutrition, the type and severity of liver disease, comorbidities, and immunosuppressive medications. The review highlights the importance of pre-operative nutritional assessment and intervention, close nutritional status monitoring, individualised nutrition care plans, and ongoing nutritional support and monitoring after LT. The review concludes by examining the effect of bariatric surgery on the nutritional status of liver transplant recipients. The review offers valuable insights into the challenges and opportunities for optimising nutritional status before, during, and after LT.
Collapse
Affiliation(s)
- Federico Ravaioli
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Nicola De Maria
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Lorenza Di Marco
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Alessandra Pivetti
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Riccardo Casciola
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Carlo Ceraso
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Gabriella Frassanito
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Martina Pambianco
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Maddalena Pecchini
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Chiara Sicuro
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| | - Laura Leoni
- Division of Metabolic Diseases and Clinical Nutrition, Department of Specialistic Medicines, University Hospital of Modena and Reggio Emilia, Largo del Pozzo 71, 41125 Modena, Italy
| | - Stefano Di Sandro
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Paolo Magistri
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Renata Menozzi
- Division of Metabolic Diseases and Clinical Nutrition, Department of Specialistic Medicines, University Hospital of Modena and Reggio Emilia, Largo del Pozzo 71, 41125 Modena, Italy
| | - Fabrizio Di Benedetto
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University Hospital of Modena "Policlinico", University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Antonio Colecchia
- Gastroenterology Unit, Department of Medical Specialties, University Hospital of Modena, University of Modena & Reggio Emilia, 41121 Modena, Italy
| |
Collapse
|
5
|
Frigaard J, Hynne H, Randsborg K, Mellin-Olsen T, Young A, Rykke M, Singh PB, Hove LH, Hofgaard AK, Jensen JL. Exploring oral health indicators, oral health-related quality of life and nutritional aspects in 23 medicated patients from a short-term psychiatric ward. Front Public Health 2023; 11:1083256. [PMID: 37124774 PMCID: PMC10130439 DOI: 10.3389/fpubh.2023.1083256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 03/14/2023] [Indexed: 05/02/2023] Open
Abstract
Background Patients suffering from psychiatric disorders face many difficulties due to their condition, medications and lifestyle. Oral health and nutrition may be affected, further complicating their lives. Our aim was to provide in-depth information on oral health and nutritional factors in a small group of patients in short-term psychiatric ward. Methods Twenty-three patients (mean age 36, average medications five) were recruited during short-term hospitalization in a psychiatric ward. Inclusion criteria: anxiety, psychosis and/or depression, and use of at least one antidepressant or anxiolytic/antipsychotic drug with xerostomia as a known side effect. Subjective oral dryness was evaluated using the Shortened Xerostomia Inventory (SXI). Oral examination included Clinical Oral Dryness Score (CODS), secretion of unstimulated (UWS) and stimulated whole saliva (SWS), and evaluation of dental, gingival, and periodontal status. Self-reported complaints of oral disorders were recorded. The Oral Health Impact Profile-14 (OHIP-14) was used to explore oral health-related quality of life. Nutritional status was assessed using the Patient-Generated Subjective Global Assessment Short Form (PG-SGA-SF), and diet quality was assessed using the Mediterranean diet score (KIDMED). Results Compared to healthy controls, the patients had significantly higher SXI scores and CODS, and SWS secretion was lower. Complaints of dysgeusia and halitosis were significantly more frequent among patients. Gingivitis was more common in patients. OHIP-14 scores were much higher in the patients, and they reported significantly poorer oral and general health. Most patients lacked a regular meal pattern. Very low diet quality was observed in five patients, while improvements were needed in twelve. "Dry mouth" and "No appetite, just did not feel like eating" were the most common symptoms preventing patients from eating enough. The PG-SGA-SF symptoms component score showed a strong negative correlation with self-reported oral health, and a strong positive correlation with OHIP-14. Conclusion This relatively small group of patients in short-term psychiatric ward had both reduced oral health and poor oral health-related quality of life. Furthermore, their nutritional intake was affected by their oral health problems. Although larger groups need to be studied, these findings indicate that oral health and nutrition should be evaluated and adjusted in these patients to improve their overall care.
Collapse
Affiliation(s)
- Julie Frigaard
- Department of Oral Surgery and Oral Medicine, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | - Håvard Hynne
- Department of Oral Surgery and Oral Medicine, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | | | | | - Alix Young
- Department of Cariology and Gerodontology, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | - Morten Rykke
- Department of Cariology and Gerodontology, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | - Preet Bano Singh
- Department of Cariology and Gerodontology, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | - Lene Hystad Hove
- Department of Cariology and Gerodontology, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| | | | - Janicke Liaaen Jensen
- Department of Oral Surgery and Oral Medicine, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway
| |
Collapse
|
6
|
Kebede F. Time to readmission and associated factors after post treatment discharge of severe acute malnourished under-five children in Pawe General Hospital. JOURNAL OF HEALTH, POPULATION AND NUTRITION 2022; 41:29. [PMID: 35804464 PMCID: PMC9270764 DOI: 10.1186/s41043-022-00308-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 06/28/2022] [Indexed: 11/25/2022] Open
Abstract
Background Relapse or repeated episodes is the admission of a child with the diagnosis of severe acute malnutrition (SAM) after being discharged to a status of treated and cured from a stabilizing center. A child may experience more than one episode of SAM depending on the improvement of the underlying comorbidity. Thus, this study aimed to estimate the time to readmission of SAM and associated factors for under-five children in North West Ethiopia.
Methods An institution-based retrospective cohort study was employed in 760 files of under-five children spanning from 2014/15 to 2019/20. The data extraction tool was developed from SAM treatment guidelines and medical history sheets. Epi Data version 3.2 and STATA version 14 were used for data entry and final analysis, respectively. After checking all assumptions, the multivariable Cox Proportional Hazard model was fitted to the isolated independent predictors for time to readmission. A categorical variable with p < 0.05 was considered a risk factor for the relapse of SAM.
Result The mean (± SD) age of participant children was 27.8 (± 16.5) months with mean (± SD) time to relapse of SAM cases were 30.4(± 21.39) weeks posttreatment discharge. The overall incidence density rate of relapse was determined as 10.8% (95% CI 8.3; 12.6). The average time (± SD) for treatment recovery from the first admission of the SAM case was 28.8(± 18.7) days. Time of readmission was significantly associated with living in rural resident (AHR 5⋅3 = 95% CI, 2⋅95, 13⋅87, p = 0.021), having HIV infection (AHR6⋅8 = 95%CI; 4.1–11.9 p = 0.001), and first admission with edema (AHR = 3.5 = 95% CI; 1.92, 6.2, p = 0.018). Conclusion Nearly one in every ten severely acute malnourished under-five children relapsed within a mean time to relapse 30.4(± 21.39) weeks posttreatment discharge. Time to relapse was significantly associated with being a rural resident for children, having edema during the first admission, and being HIV-infected cases. A protocol ought to be drafted for extending Supplementary Nutrition in Acute Malnutrition management program following discharge is highly needed. Supplementary Information The online version contains supplementary material available at 10.1186/s41043-022-00308-8.
Collapse
|
7
|
Long Z, Huang S, Zhang J, Zhang D, Yin J, He C, Zhang Q, Xu H, He H, Sun HC, Xie K. A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study. JMIR Form Res 2022; 6:e40316. [PMID: 36287601 PMCID: PMC9647468 DOI: 10.2196/40316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/22/2022] [Accepted: 09/23/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Malnutrition is a common and severe problem in patients with cancer that directly increases the incidence of complications and significantly deteriorates quality of life. Nutritional risk screening and dietary assessment are critical because they are the basis for providing personalized nutritional support. No digital smartphone-based self-administered tool for nutritional risk screening and dietary assessment among hospitalized patients with cancer has been developed and evaluated. OBJECTIVE This study aims to develop a digital smartphone-based self-administered mini program for nutritional risk screening and dietary assessment for hospitalized patients with cancer and to evaluate the validity of the mini program. METHODS We have developed the R+ Dietitian mini program, which consists of 3 parts: (1) collection of basic information of patients, (2) nutritional risk screening, and (3) dietary energy and protein assessment. The face-to-face paper-based Nutritional Risk Screening (NRS-2002), the Patient-Generated Subjective Global Assessment Short Form (PG-SGA-SF), and 3 days of 24-hour dietary recall (3d-24HRs) questionnaires were administered according to standard procedure by 2 trained dietitians as the reference methods. Sensitivity, specificity, positive predictive value, negative predictive value, κ value, and correlation coefficients (CCs) of nutritional risk screened in R+ Dietitian against the reference methods, as well as the difference and CCs of estimated dietary energy and protein intakes between R+ Dietitian and 3d-24HRs were calculated to evaluate the validity of R+ Dietitian. RESULTS A total of 244 hospitalized patients with cancer were recruited to evaluate the validity of R+ Dietitian. The NRS-2002 and PG-SGA-SF tools in R+ Dietitian showed high accuracy, sensitivity, and specificity (77.5%, 81.0%, and 76.7% and 69.3%, 84.5%, and 64.5%, respectively), and fair agreement (κ=0.42 and 0.37, respectively; CC 0.62 and 0.56, respectively) with the NRS-2002 and PG-SGA-SF tools administered by dietitians. The estimated intakes of dietary energy and protein were significantly higher (P<.001 for both) in R+ Dietitian (mean difference of energy intake: 144.2 kcal, SD 454.8; median difference of protein intake: 10.7 g, IQR 9.5-39.8), and showed fair agreement (CC 0.59 and 0.47, respectively), compared with 3d-24HRs performed by dietitians. CONCLUSIONS The identified nutritional risk and assessment of dietary intakes of energy and protein in R+ Dietitian displayed a fair agreement with the screening and assessment conducted by dietitians. R+ Dietitian has the potential to be a tool for nutritional risk screening and dietary intake assessment among hospitalized patients with cancer. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1900026324; https://www.chictr.org.cn/showprojen.aspx?proj=41528.
Collapse
Affiliation(s)
| | - Shan Huang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Zhang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Deng Zhang
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
| | - Jun Yin
- Recovery Plus Clinic, Chengdu, China
| | | | - Qinqiu Zhang
- Recovery Plus Clinic, Chengdu, China
- College of Food Science, Sichuan Agricultural University, Ya'an, China
| | - Huilin Xu
- Recovery Plus Clinic, Chengdu, China
| | - Huimin He
- Recovery Plus Clinic, Chengdu, China
| | | | - Ke Xie
- Department of Oncology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
8
|
de van der Schueren MA, Jager-Wittenaar H. Malnutrition risk screening: New insights in a new era. Clin Nutr 2022; 41:2163-2168. [DOI: 10.1016/j.clnu.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 11/03/2022]
|
9
|
Malnutrition Screening and Assessment. Nutrients 2022; 14:nu14122392. [PMID: 35745121 PMCID: PMC9228435 DOI: 10.3390/nu14122392] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 01/04/2023] Open
Abstract
Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.
Collapse
|