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Zhao X, Li J, Liu H, Shi K, He Q, Sun L, Xue J, Jiang H, Wei L. Association of Geriatric Nutritional Risk Index with short-term mortality in patients with severe acute kidney injury: a retrospective cohort study. Ren Fail 2024; 46:2374449. [PMID: 38973429 PMCID: PMC11232638 DOI: 10.1080/0886022x.2024.2374449] [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: 01/19/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024] Open
Abstract
OBJECTIVES Geriatric Nutritional Risk Index (GNRI) is a new and simple index recently introduced to assess nutritional status, and its predictive value for clinical outcomes has been demonstrated in patients with chronic kidney disease. However, the association between the GNRI and prognosis has not been evaluated so far in patients with acute kidney injury (AKI), especially in those receiving continuous renal replacement therapy (CRRT). METHODS A total of 1096 patients with severe AKI initiating CRRT were identified for inclusion in this retrospective observational study. Patients were divided into three groups according to GNRI tertiles, with tertile 1 as the reference. The outcomes of interest were the 28- and 90-days of all-cause mortality. The associations between GNRI and clinical outcomes were estimated using multivariate Cox proportional hazards model analysis. RESULTS The overall mortality rates at 28- and 90-days were 61.6% (675/1096) and 71.5% (784/1096), respectively. After adjusting for multiple confounding factors, GNRI was identified as an independent prognostic factor for 28-days all-cause mortality (HR, 0.582; 95% CI, 0.467-0.727; p < .001 for tertile 3 vs. tertile 1) as well as 90-days all-cause mortality (HR, 0.540; 95% CI, 0.440-0.661; p < .001 for tertile 3 vs. tertile 1). The observed inverse associations were robust across subgroup analysis, and were more pronounced in elderly patients over 65 years of age. Finally, incorporating GNRI in a model with established risk factors might significantly improve its predictive power for the short-term death. CONCLUSIONS GNRI is considered to be a useful prognostic factor in patients with severe AKI initiating CRRT, especially in elderly patients.
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Affiliation(s)
- Xue Zhao
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Jie Li
- Department of Nephrology, He'nan Provincial People's Hospital, Zhengzhou, China
| | - Hua Liu
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Kehui Shi
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Quan He
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Lingshuang Sun
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Jinhong Xue
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Hongli Jiang
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
| | - Limin Wei
- Department of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
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Segev G, Cortellini S, Foster JD, Francey T, Langston C, Londoño L, Schweighauser A, Jepson RE. International Renal Interest Society best practice consensus guidelines for the diagnosis and management of acute kidney injury in cats and dogs. Vet J 2024; 305:106068. [PMID: 38325516 DOI: 10.1016/j.tvjl.2024.106068] [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: 06/11/2023] [Revised: 12/10/2023] [Accepted: 01/19/2024] [Indexed: 02/09/2024]
Abstract
Acute kidney injury (AKI) is defined as an injury to the renal parenchyma, with or without a decrease in kidney function, as reflected by accumulation of uremic toxins or altered urine production (i.e., increased or decreased). AKI might result from any of several factors, including ischemia, inflammation, nephrotoxins, and infectious diseases. AKI can be community- or hospital-acquired. The latter was not previously considered a common cause for AKI in animals; however, recent evidence suggests that the prevalence of hospital-acquired AKI is increasing in veterinary medicine. This is likely due to a combination of increased recognition and awareness of AKI, as well as increased treatment intensity (e.g., ventilation and prolonged hospitalization) in some veterinary patients and increased management of geriatric veterinary patients with multiple comorbidities. Advancements in the management of AKI, including the increased availability of renal replacement therapies, have been made; however, the overall mortality of animals with AKI remains high. Despite the high prevalence of AKI and the high mortality rate, the body of evidence regarding the diagnosis and the management of AKI in veterinary medicine is very limited. Consequently, the International Renal Interest Society (IRIS) constructed a working group to provide guidelines for animals with AKI. Recommendations are based on the available literature and the clinical experience of the members of the working group and reflect consensus of opinion. Fifty statements were generated and were voted on in all aspects of AKI and explanatory text can be found either before or after each statement.
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Affiliation(s)
- Gilad Segev
- Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environment, Hebrew University of Jerusalem, Israel.
| | - Stefano Cortellini
- Department of Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, North Mymms, Hertfordshire, UK
| | - Jonathan D Foster
- Department of Nephrology and Urology, Friendship Hospital for Animals, Washington DC, USA
| | - Thierry Francey
- Department of Clinical Veterinary Medicine, Vetsuisse Faculty University of Bern, Bern, Switzerland
| | - Catherine Langston
- Veterinary Clinical Science, The Ohio State University, Columbus, OH, USA
| | - Leonel Londoño
- Department of Critical Care, Capital Veterinary Specialists, Jacksonville, FL, USA
| | - Ariane Schweighauser
- Department of Clinical Veterinary Medicine, Vetsuisse Faculty University of Bern, Bern, Switzerland
| | - Rosanne E Jepson
- Department of Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, North Mymms, Hertfordshire, UK
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Yamaguchi M, Sugiyama H, Asai A, Kitamura F, Nobata H, Kinashi H, Katsuno T, Banno S, Ito Y, Imaizumi T, Ando M, Kubo Y, Keisuke M, Ishida Y, Mori N, Ishimoto T. Clinical Impact of Malnutrition According to the Global Leadership Initiative on Malnutrition Criteria Combined With Kidney Dysfunction to Determine Mortality in Inpatients. J Ren Nutr 2024:S1051-2276(24)00062-1. [PMID: 38621434 DOI: 10.1053/j.jrn.2024.03.010] [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: 07/22/2023] [Revised: 11/29/2023] [Accepted: 03/24/2024] [Indexed: 04/17/2024] Open
Abstract
OBJECTIVE The clinical impact of malnutrition based on the Global Leadership Initiative on Malnutrition (GLIM) criteria in patients with kidney dysfunction remains poorly understood. This study investigated the usefulness of GLIM criteria for malnutrition in predicting mortality in patients with kidney dysfunction and different clinical renal states, including no kidney disease (NKD), acute kidney injury (AKI), and chronic kidney disease (CKD). METHODS This single-center retrospective cohort study included 6,712 patients aged ≥18 admitted between 2018 and 2019. The relationship between the estimated glomerular filtration rate (eGFR) groups, nutritional status based on the GLIM criteria, and the incidence of all-cause mortality was evaluated using a multivariate Cox proportional hazards model. Malnutrition was defined as at least one phenotype (weight loss, low body mass index, or reduced muscle mass) and one etiological criterion (reduced intake/assimilation or disease burden/inflammation). RESULTS Multivariate Cox proportional hazards model showed that eGFR ≤29 (vs. eGFR: 60-89, adjusted hazard ratio [HR] = 1.84, 95% confidence interval [CI]: 1.52-2.22), 30-59 (vs. eGFR: 60-89, adjusted HR = 1.40, 95% CI: 1.20-1.64), and ≥90 (vs. eGFR: 60-89, adjusted HR = 1.40, 95% CI: 1.14-1.71), moderate and severe malnutrition (vs. without malnutrition, adjusted HR = 1.38 [1.18-1.62] and 2.18 [1.86-2.54], respectively) were independently associated with the incidence of death. The all-cause mortality rate was higher in patients with malnutrition or eGFR ≤29 (adjusted HR, 3.31; 95% CI: 2.51-4.35) than in patients without malnutrition or eGFR 60-89. Furthermore, moderate and severe malnutrition (vs. no malnutrition) was independently associated with death in patients with NKD, AKI, and CKD. CONCLUSION Malnutrition based on the GLIM criteria was associated with increased all-cause mortality in inpatients, and malnutrition combined with kidney dysfunction was associated with a higher risk of mortality. Furthermore, patients with NKD, AKI, and CKD showed an association between malnutrition based on GLIM criteria and mortality.
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Affiliation(s)
- Makoto Yamaguchi
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Hirokazu Sugiyama
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Akimasa Asai
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Fumiya Kitamura
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Hironobu Nobata
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Hiroshi Kinashi
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Takayuki Katsuno
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan; Department of Nephrology and Rheumatology, Aichi Medical Center, Okazaki, Aichi, Japan
| | - Shogo Banno
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Yasuhiko Ito
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Takahiro Imaizumi
- Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Masahiko Ando
- Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Maeda Keisuke
- Department of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan; Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Yuria Ishida
- Department of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan; Department of Nutrition, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Naoharu Mori
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Takuji Ishimoto
- Department of Nephrology and Rheumatology, Aichi Medical University, Nagakute, Aichi, Japan.
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Raina R, Suchan A, Soundararajan A, Brown AM, Davenport A, Shih WV, Nada A, Irving SY, Mannemuddhu SS, Vitale VS, Crugnale AS, Keller GL, Berry KG, Zieg J, Alhasan K, Guzzo I, Lussier NH, Yap HK, Bunchman TE, Sethi SK. Nutrition in critically ill children with acute kidney injury on continuous kidney replacement therapy: a 2023 executive summary. Nutrition 2024; 119:112272. [PMID: 38118382 DOI: 10.1016/j.nut.2023.112272] [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: 06/23/2023] [Revised: 10/04/2023] [Accepted: 10/21/2023] [Indexed: 12/22/2023]
Abstract
OBJECTIVES Nutrition plays a vital role in the outcome of critical illness in children, particularly those with acute kidney injury. Currently, there are no established guidelines for children with acute kidney injury treated with continuous kidney replacement therapy. Our objective was to create clinical practice points for nutritional assessment and management in critically ill children with acute kidney injury receiving continuous kidney replacement therapy. METHODS An electronic search using PubMed and an inclusive academic library search (including MEDLINE, Cochrane, and Embase databases) was conducted to find relevant English-language articles on nutrition therapy for children (<18 y of age) receiving continuous kidney replacement therapy. RESULTS The existing literature was reviewed by our work group, comprising pediatric nephrologists and experts in nutrition. The modified Delphi method was then used to develop a total of 45 clinical practice points. The best methods for nutritional assessment are discussed. Indirect calorimetry is the most reliable method of predicting resting energy expenditure in children on continuous kidney replacement therapy. Schofield equations can be used when indirect calorimetry is not available. The non-intentional calories contributed by continuous kidney replacement therapy should also be accounted for during caloric dosing. Protein supplementation should be increased to account for the proteins, peptides, and amino acids lost with continuous kidney replacement therapy. CONCLUSIONS Clinical practice points are provided on nutrition assessment, determining energy needs, and nutrient intake in children with acute kidney injury and on continuous kidney replacement therapy based on the existing literature and expert opinions of a multidisciplinary panel.
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Affiliation(s)
- Rupesh Raina
- Akron Nephrology Associates, Cleveland Clinic Akron General, Akron, Ohio, USA; Akron Children's Hospital, Akron, Ohio, USA.
| | - Andrew Suchan
- Johns Hopkins Bayview Medical Center, Baltimore, Maryland, USA
| | | | - Ann-Marie Brown
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA; Children's Healthcare of Atlanta, Atlanta, Georgia, USA; ECU Health, Greenville, North Carolina, USA
| | - Andrew Davenport
- UCL Department of Renal Medicine, Royal Free Hospital, University College London, London, UK
| | - Weiwen V Shih
- Children's Hospital Colorado, University of Colorado, Section of Pediatric Nephrology, Aurora, Colorado, USA
| | - Arwa Nada
- Division of Pediatric Nephrology, Department of Pediatrics, Le Bonheur Children's Hospital and St. Jude Children's Research Hospital, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Sharon Y Irving
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA; Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Sai Sudha Mannemuddhu
- Division of Pediatric Nephrology, East Tennessee Children's Hospital, Knoxville, Tennessee, USA; Department of Medicine, University of Tennessee, Knoxville, Tennessee, USA
| | | | - Aylin S Crugnale
- Akron Nephrology Associates, Cleveland Clinic Akron General, Akron, Ohio, USA
| | | | - Katarina G Berry
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA; Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jakub Zieg
- Department of Pediatrics, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Khalid Alhasan
- Pediatrics Department, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Isabella Guzzo
- Division of Nephrology and Dialysis, Department of Pediatrics, Bambino Gesù Children's Hospital and Research Institute, Rome, Italy
| | | | - Hui Kim Yap
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Timothy E Bunchman
- Department of Pediatrics, Children's Hospital of Richmond, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sidharth K Sethi
- Department of Pediatric Nephrology, Kidney Institute, Medanta-The Medicity, Gurgaon, India
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5
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Raina R, Suchan A, Sethi SK, Soundararajan A, Vitale VS, Keller GL, Brown AM, Davenport A, Shih WV, Nada A, Irving SY, Mannemuddhu SS, Crugnale AS, Myneni A, Berry KG, Zieg J, Alhasan K, Guzzo I, Lussier NH, Yap HK, Bunchman TE. Nutrition in Critically Ill Children with AKI on Continuous RRT: Consensus Recommendations. KIDNEY360 2024; 5:285-309. [PMID: 38112754 PMCID: PMC10914214 DOI: 10.34067/kid.0000000000000339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Nutrition plays a vital role in the outcome of critically ill children, particularly those with AKI. Currently, there are no established guidelines for children with AKI treated with continuous RRT (CRRT). A thorough understanding of the metabolic changes and nutritional challenges in AKI and CRRT is required. Our objective was to create clinical practice points for nutritional assessment and management in critically ill children with AKI receiving CRRT. METHODS PubMed, MEDLINE, Cochrane, and Embase databases were searched for articles related to the topic. Expertise of the authors and a consensus of the workgroup were additional sources of data in the article. Available articles on nutrition therapy in pediatric patients receiving CRRT through January 2023. RESULTS On the basis of the literature review, the current evidence base was examined by a panel of experts in pediatric nephrology and nutrition. The panel used the literature review as well as their expertise to formulate clinical practice points. The modified Delphi method was used to identify and refine clinical practice points. CONCLUSIONS Forty-four clinical practice points are provided on nutrition assessment, determining energy needs, and nutrient intake in children with AKI and on CRRT on the basis of the existing literature and expert opinions of a multidisciplinary panel.
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Affiliation(s)
- Rupesh Raina
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, Ohio
- Akron Children's Hospital, Akron, Ohio
| | - Andrew Suchan
- Johns Hopkins Bayview Medical Center, Baltimore, Maryland
| | - Sidharth K. Sethi
- Department of Pediatric Nephrology, Kidney Institute, Medanta, The Medicity, Gurgaon, India
| | - Anvitha Soundararajan
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, Ohio
| | | | | | - Ann-Marie Brown
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia
- Children's Healthcare of Atlanta, Atlanta, Georgia
- ECU Health, Greenville, North Carolina
| | - Andrew Davenport
- UCL Department of Renal Medicine, Royal Free Hospital, University College London, London, United Kingdom
| | - Weiwen V. Shih
- Section of Pediatric Nephrology, Children's Hospital Colorado, University of Colorado, Aurora, Colorado
| | - Arwa Nada
- Department of Pediatrics, Division of Pediatric Nephrology, Le Bonheur Children's & St. Jude Children's Research Hospitals, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Sharon Y. Irving
- Children's Hospital of Philadelphia, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
| | - Sai Sudha Mannemuddhu
- Division of Pediatric Nephrology, East Tennessee Children's Hospital, Knoxville, Tennessee
- Department of Medicine, University of Tennessee at Knoxville, Knoxville, Tennessee
| | - Aylin S. Crugnale
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, Ohio
| | - Archana Myneni
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, Ohio
| | - Katarina G. Berry
- Children's Hospital of Philadelphia, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
| | - Jakub Zieg
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic
| | - Khalid Alhasan
- Pediatrics Department, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Isabella Guzzo
- Division of Nephrology and Dialysis, Department of Pediatrics, Bambino Gesù Children's Hospital and Research Institute, Rome, Italy
| | | | - Hui Kim Yap
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Timothy E. Bunchman
- Department of Pediatrics, Childrens Hospital of Richmond, Virginia Commonwealth University, Richmond, Virginia
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Hu Y, Liu Y, Li K, Wei K, Gao K, Xu Y, Zhang G, Pu N, Liu D, Li S, Li G, Ye B, Zhou J, Li B, Liu Y, Yang Q, Tong Z, Li W. Dynamic nomogram for predicting infected pancreatic necrosis in female patients of childbearing age with hypertriglyceridemia-induced acute pancreatitis. Dig Liver Dis 2024; 56:297-304. [PMID: 37586905 DOI: 10.1016/j.dld.2023.07.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND Hypertriglyceridemia is a common cause of acute pancreatitis. Pregnant women are at risk of developing hypertriglyceridemia-induced acute pancreatitis (HTG-AP); however, whether pregnancy increases the risk of infected pancreatic necrosis (IPN) is unknown. AIM We aimed to assess the association between pregnancy and IPN. METHODS This 10-year retrospective cohort study was conducted at Jinling Hospital. Adult female patients of childbearing age with HTG-AP between January 2013 and September 2022 were screened. Logistic regression analyses were performed to assess the risk factors for IPN. Patients admitted within 7 days were assigned to the training and validation sets to develop a dynamic nomogram for IPN prediction. RESULTS 489 patients were included, and 144 developed IPN. Logistic regression analyses revealed pregnancy (OR: 2.578 95% CI: 1.474-4.510) as an independent risk factor for IPN. Gestation weeks, ARDS, albumin level, and serum creatinine level were selected as the predictors of the dynamic nomogram for IPN prediction, with good discrimination in the training set (AUC 0.867 95% CI: 0.794-0.940) and validation set (AUC 0.957 95% CI: 0.885-1.000). CONCLUSION Pregnancy increases the risk of IPN in adult patients of childbearing age with HTG-AP, and the dynamic nomogram may help risk stratification for IPN.
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Affiliation(s)
- Yuepeng Hu
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Yang Liu
- Department of Critical Care Medicine, Affiliated Jinling Hospital, Medical School, Southeast University, China
| | - Kaiwei Li
- The First School of Clinical Medicine, Southern Medical University, China
| | - Kuikui Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, China
| | - Kun Gao
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Yao Xu
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Guofu Zhang
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Na Pu
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Dadong Liu
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Shuai Li
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Gang Li
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Bo Ye
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Jing Zhou
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Baiqiang Li
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China
| | - Yuxiu Liu
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, China
| | - Qi Yang
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China.
| | - Zhihui Tong
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China.
| | - Weiqin Li
- Department of Critical Care Medicine, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, No.305 East Zhongshan Road, Xuanwu District, Nanjing, Jiangsu 210002, China; Department of Critical Care Medicine, Affiliated Jinling Hospital, Medical School, Southeast University, China; The First School of Clinical Medicine, Southern Medical University, China.
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7
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Gao F, Huang Z, Liang J, Kang Y, Ling Y, He Y, Chen J, Hong D, Zhang Z, Xu S, Wang A, Yan X, Liu J, Liu Y, Chen S, Chen J. Association of malnutrition with all-cause and cardiovascular mortality in patients with mild to severe chronic kidney disease undergoing coronary angiography: a large multicenter longitudinal study. Int Urol Nephrol 2023; 55:3225-3236. [PMID: 37103656 DOI: 10.1007/s11255-023-03566-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 03/19/2023] [Indexed: 04/28/2023]
Abstract
PURPOSE Evidence on the prognostic impact of malnutrition was focused on patients with advanced kidney disease. The relationships between malnutrition and all-cause and cardiovascular mortality in patients with different severity of chronic kidney disease (CKD) have not been adequately addressed. We aimed to reveal the prevalence of malnutrition and its prognostic value in patients with different severity of CKD undergoing coronary angiography (CAG). METHODS This was a multicenter, longitudinal, and retrospective cohort study of 12,652 patients with non-dialysis dependent CKD (defined as estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2) undergoing CAG from five tertiary hospitals between January 2007 and December 2020. The controlling nutritional status (CONUT) score was applied to assess nutritional status. Cox regression models and competing risk Fine and Gray models were used to examine the relationships between malnutrition, all-cause and cardiovascular mortality. Further stratified analysis was performed according to baseline CKD severity (mild, moderate and severe, defined by eGFR < 30, 30-44 and 45-59 ml/min/1.73 m2). RESULTS During a median follow-up of 5.5 years (interquartile range: 3.2 to 8.6 years), 3801 patients (30.0%) died, and 2150 (17.0%) definitely died of cardiovascular disease. After controlling for confounders, patients had higher all-cause mortality (mild, moderate, and severe vs. absent: HR 1.27, 95 CI % [1.17-1.39]; HR 1.54, 95 CI % [1.39-1.71]; HR 2.22, 95 CI % [1.78-2.77], respectively; P for trend < 0.001) and cardiovascular mortality (mild, moderate and severe vs. absent: HR 1.35, 95 CI % [1.21-1.52]; HR 1.67, 95 CI % [1.45-1.92]; HR 2.10, 95 CI % [1.55-2.85], respectively; P for trend < 0.001) with the severity of malnutrition. In further stratified analysis, a similar prognostic impact of malnutrition was observed in patients with mild to moderate CKD, while mild malnutrition did not seem to have a consistent effect on severe CKD patients. CONCLUSION Malnutrition is common among patients with mild to severe CKD undergoing CAG and is strongly associated with increased risk of all-cause and cardiovascular mortality. Malnutrition seems to have a modestly stronger impact on mortality in patients with mild to moderate CKD. This study was registered at Clinicaltrials.gov as NCT05050877.
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Affiliation(s)
- Fei Gao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Zhidong Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - JingJing Liang
- Department of Cardiology, Shunde Hospital, Southern Medical University, Foshan, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yu Kang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Shantou University Medical College, Shantou, 515041, China
| | - Yihang Ling
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yibo He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jiahui Chen
- Department of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China
| | - Daqing Hong
- Department of Nephrology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Zewei Zhang
- Department of Public Health, Guangdong Medical University, Dongguan, China
| | - Shanshan Xu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Amanda Wang
- The George Institute for Global Health, UNSW, Sydney, Australia
| | - Xiaoming Yan
- Department of Information Technology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shiqun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Jiyan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Liao D, Deng Y, Li X, Huang J, Li J, Pu M, Zhang F, Wang L. The prognostic effects of the geriatric nutritional risk index on elderly acute kidney injury patients in intensive care units. Front Med (Lausanne) 2023; 10:1165428. [PMID: 37250638 PMCID: PMC10213743 DOI: 10.3389/fmed.2023.1165428] [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: 02/14/2023] [Accepted: 04/12/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction The geriatric nutritional risk index (GNRI), a nutritional screening tool specifically for the aging population, has been proven to be associated with worse outcomes in chronic kidney disease patients, especially in the hemodialysis population. However, the predictive validity of GNRI in critically ill elderly patients with acute kidney injury (AKI) is yet to be determined. This analysis sought to examine the prognostic effects of GNRI on elderly AKI patients in intensive care units (ICUs). Methods We collected elderly AKI patient-relevant data from the Medical Information Mart for Intensive Care III database. AKI was diagnosed and staged according to the "Kidney Disease Improving Global Outcomes" criteria. In the study, 1-year mortality was considered the primary outcome, whereas in-hospital, ICU, 28-day and 90-day mortality, and prolonged length of stay in ICU and hospital were selected as the secondary outcomes. Results In all, 3,501 elderly patients with AKI were selected for this study, with a 1-year mortality rate of 36.4%. We classified the study population into low (≤98) and high (>98) GNRI groups based on the best cutoff value. The incidence of endpoints was remarkably lower in patients with elevated GNRI (p < 0.001). When stratified by the AKI stage, patients with high GNRI at AKI stages 1, 2, and 3 had markedly lower 1-year mortality than those with low GNRI (all p < 0.05). The multivariable regression analysis identified the independent prognostic ability of GNRI on the research outcomes (all p < 0.05). Restricted cubic spline exhibited a linear correlation between GNRI and 1-year death (p for non-linearity = 0.434). The prognostic implication of GNRI on 1-year mortality was still significant in patients with the most subgroups. Conclusion In critically ill elderly patients with AKI, elevated GNRI upon admission was strongly correlated with a lower risk of unfavorable outcomes.
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Affiliation(s)
- Dan Liao
- Department of Nephrology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Yonghua Deng
- Department of Nephrology, Chengdu Second People's Hospital, Chengdu, China
| | - Xinchun Li
- North Sichuan Medical College, Nanchong, China
| | - Ju Huang
- Department of Nephrology, Mianyang People's Hospital, Mianyang, China
| | - Jiayue Li
- Chengdu Medical College, Chengdu, China
| | - Ming Pu
- Chengdu Medical College, Chengdu, China
| | - Fenglian Zhang
- Department of Nephrology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Lijun Wang
- Department of Nephrology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
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9
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Wang N, Wang P, Li W, Jiang L, Wang M, Zhu B, Xi X. Prognostic significance of malnutrition risk in elderly patients with acute kidney injury in the intensive care unit. BMC Nephrol 2022; 23:335. [PMID: 36258183 PMCID: PMC9578231 DOI: 10.1186/s12882-022-02949-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 09/19/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Malnutrition is common in critically ill patients, but nutrition status in critically ill patients with acute kidney injury (AKI) has been poorly studied. Our study aimed to investigate the relationship between malnutrition risk and the occurrence and prognosis of AKI in elderly patients in the intensive care unit (ICU). METHODS Data were extracted from the Beijing Acute Kidney Injury Trial (BAKIT). A total of 1873 elderly patients were included and compared according to the clinical characteristics of AKI and non-AKI groups, and those of survivors and non-survivors of AKI in this study. Receiver operating characteristic (ROC) curves were used to analyse the predictive value of the modified Nutrition Risk in Critically Ill (mNUTRIC) score for the occurrence and 28-day prognosis of AKI. Multivariate Cox regression analysis was used to evaluate the effect of the mNUTRIC score on the 28-day mortality in AKI patients. RESULTS Compared with the non-AKI group, AKI patients had higher mNUTRIC scores, and non-survivors had higher mNUTRIC scores than survivors in AKI population. Moreover, multivariate Cox regression showed that 28-day mortality in AKI patients increased by 9.8% (95% CI, 1.018-1.184) for every point increase in the mNUTRIC score, and the mNUTRIC score had good predictive ability for the occurrence of AKI and 28-day mortality in AKI patients. The mortality of AKI patients with mNUTRIC > 4 was significantly increased. CONCLUSIONS The elderly patients are at high risk of malnutrition, which affects the occurrence and prognosis of AKI. Adequate attention should be given to the nutritional status of elderly patients. TRIAL REGISTRATION This study was registered at www.chictr.org.cn (registration number Chi CTR-ONC-11001875) on 14 December 2011.
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Affiliation(s)
- Na Wang
- Emergency department of China rehabilitation research center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Ping Wang
- Emergency department of Fu Xing Hospital, Capital Medical University, no. 20 Fuxingmenwai Street, Xicheng District, Beijing, 100038, China
| | - Wen Li
- Department of Critical Care Medicine, Peking University Third Hospital, no. 49 Huayuan north Street, Haidian District, Beijing, 100191, China
| | - Li Jiang
- Department of Critical Care Medicine, Xuan Wu Hospital, Capital Medical University, no. 45 Changchun Street, Xicheng District, Beijing, 100053, China
| | - Meiping Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, no.10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China
| | - Bo Zhu
- Department of Critical Care Medicine, Fu Xing Hospital, Capital Medical University, no. 20 Fuxingmenwai Street, Xicheng District, Beijing, 100038, China
| | - Xiuming Xi
- Department of Critical Care Medicine, Fu Xing Hospital, Capital Medical University, no. 20 Fuxingmenwai Street, Xicheng District, Beijing, 100038, China.
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10
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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.
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11
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Prognostic Value of the Controlling Nutritional Status (CONUT) Score in Patients at Dialysis Initiation. Nutrients 2022; 14:nu14112317. [PMID: 35684116 PMCID: PMC9182995 DOI: 10.3390/nu14112317] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 05/28/2022] [Accepted: 05/30/2022] [Indexed: 02/05/2023] Open
Abstract
Protein-energy wasting (PEW) is common in patients with chronic kidney disease (CKD), and affects their prognosis. The Controlling Nutritional Status (CONUT) score is a nutritional screening tool calculated using only blood test data. This study aimed to investigate the prognostic value of CONUT score in patients just initiating dialysis. A total of 311 CKD patients who stably initiated dialysis were enrolled. Only 27 (8.7%) patients were classified as having normal nutritional status. The CONUT score was also independently correlated with elevated C-reactive protein levels (β = 0.485, p < 0.0001). During the median follow-up of 37 months, 100 patients (32.2%) died. The CONUT score was an independent predictor of all-cause mortality (adjusted hazard ratio 1.13, 95% confidence interval 1.04−1.22, p < 0.0024). As model discrimination, the addition of the CONUT score to a prediction model based on established risk factors significantly improved net reclassification improvement (0.285, p = 0.028) and integrated discrimination improvement (0.025, p = 0.023). The CONUT score might be a simplified surrogate marker of the PEW with clinical utility and could predict all-cause mortality, in addition to improving the predictability in CKD patients just initiating dialysis. The CONUT score also could predict infectious-disease mortality.
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Ostermann M, Lumlertgul N, Mehta R. Nutritional assessment and support during continuous renal replacement therapy. Semin Dial 2021; 34:449-456. [PMID: 33909935 DOI: 10.1111/sdi.12973] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 02/24/2021] [Accepted: 03/19/2021] [Indexed: 01/03/2023]
Abstract
Malnutrition is highly prevalent in patients with acute kidney injury, especially in those receiving renal replacement therapy (RRT). For the assessment of nutritional status, a combination of screening tools, anthropometry, and laboratory parameters is recommended rather than a single test. To avoid underfeeding and overfeeding during RRT, energy expenditure should be measured by indirect calorimetry or calculated using predictive equations. Nitrogen balance should be periodically measured to assess the degree of catabolism and to evaluate protein intake. However, there is limited data for nutritional targets specifically for patients on RRT, such as protein intake. The composition of commercial solutions for continuous renal replacement therapy (CRRT) varies. CRRT itself can be associated with both, nutrient losses into the effluent fluid and caloric gain from dextrose, lactate, and citrate. The role of micronutrient supplementation, and potential use of micronutrient enriched CRRT solutions in this setting is unknown, too. This review provides an overview of existing knowledge and uncertainties related to nutritional aspects in patients on CRRT and emphasizes the need for more research in this area.
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Affiliation(s)
- Marlies Ostermann
- Department of Critical Care, Guy's & St Thomas' Hospital, London, UK
| | - Nuttha Lumlertgul
- Department of Critical Care, Guy's & St Thomas' Hospital, London, UK.,Division of Nephrology, Department of Internal Medicine and Excellence Center in Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.,Research Unit in Critical Care Nephrology, Chulalongkorn University, Bangkok, Thailand
| | - Ravindra Mehta
- Department of Medicine, UCSD Medical Center, University of California, San Diego, CA, USA
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