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Guan X, Chen D, Xu Y. Clinical practice guidelines for nutritional assessment and monitoring of adult ICU patients in China. JOURNAL OF INTENSIVE MEDICINE 2024; 4:137-159. [PMID: 38681796 PMCID: PMC11043647 DOI: 10.1016/j.jointm.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 05/01/2024]
Abstract
The Chinese Society of Critical Care Medicine (CSCCM) has developed clinical practice guidelines for nutrition assessment and monitoring for patients in adult intensive care units (ICUs) in China. This guideline focuses on nutrition evaluation and metabolic monitoring to achieve optimal and personalized nutrition therapy for critically ill patients. This guideline was developed by experts in critical care medicine and evidence-based medicine methodology and was developed after a thorough review of the system and a summary of relevant trials or studies published from 2000 to July 2023. A total of 18 recommendations were formed and consensus was reached through discussions and reviews by expert groups in critical care medicine, parenteral and enteral nutrition, and surgery. The recommendations are based on currently available evidence and cover several key fields, including screening and assessment, evaluation and assessment of enteral feeding intolerance, metabolic and nutritional measurement and monitoring during nutrition therapy, and organ function evaluation related to nutrition supply. Each question was analyzed according to the Population, Intervention, Comparison, and Outcome (PICO) principle. In addition, interpretations were provided for four questions that did not reach a consensus but may have potential clinical and research value. The plan is to update this nutrition assessment and monitoring guideline using the international guideline update method within 3-5 years.
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Affiliation(s)
- Xiangdong Guan
- Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Dechang Chen
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Xu
- Department of Critical Care Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
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Potential benefits of using an energy-dense, high-protein formula enriched with β-hydroxy-β-methylbutyrate, fructo-oligosaccharide, and vitamin D for enteral feeding in the ICU: A pilot case-control study in COVID-19 patients. Nutrition 2023; 106:111901. [PMID: 36470115 DOI: 10.1016/j.nut.2022.111901] [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: 08/30/2022] [Revised: 10/26/2022] [Accepted: 10/30/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the potential benefits of using an energy-dense, high-protein (HP) formula enriched with β-hydroxy-β-methylbutyrate (HMB), fructo-oligosaccharide (FOS), and vitamin D (VitD) for enteral feeding in the intensive care unit (ICU). METHODS This was a nested case-control multicenter study. Mechanically ventilated patients with COVID-19 in whom enteral nutrition was not contraindicated and receiving an energy-dense, HP-HMB-FOS-VitD formula (1.5 kcal/mL; 21.5% of calories from protein; n = 53) were matched (1:1) by age (±1 y), sex, body mass index (±1 kg/m2) and Sequential Organ Failure Assessment score (±1 point) and compared with patients fed with a standard HP, fiber-free formula (1.25-1.3 kcal/mL; 20% of calories from protein; n = 53). The primary end point was daily protein intake (g/kg) on day 4. Protein-calorie intake on day 7, gastrointestinal intolerance, and clinical outcomes were addressed as secondary end points. RESULTS The use of a HP-HMB-FOS-VitD formula resulted in higher protein intake on days 4 and 7 (P = 0.006 and P = 0.013, respectively), with similar energy intake but higher provision of calories from enteral nutrition at both times (P <0 .001 and P = 0.017, respectively). Gastrointestinal tolerance was superior, with fewer patients fed with a HP-HMB-FOS-VitD formula reporting at least one symptom of intolerance (55 versus 74%; odds ratio [OR], 0.43; 95% confidence interval [CI], 0.18-0.99; P = 0.046) and constipation (38 versus 66%; OR, 0.27; 95% CI, 0.12-0.61; P = 0.002). A lower rate of ICU-acquired infections was also observed (42 versus 72%; OR, 0.29; 95% CI, 0.13-0.65; P = 0.003), although no difference was found in mortality, ICU length of stay, and ventilation-free survival. CONCLUSIONS An energy-dense, HP-HMB-FOS-VitD formula provided a more satisfactory protein intake and a higher provision of caloric intake from enteral nutrition than a standard HP formula in mechanically ventilated patients with COVID-19. Lower rates of gastrointestinal intolerance and ICU-acquired infections were also observed.
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Dupuis C, Bret A, Janer A, Guido O, Bouzgarrou R, Dopeux L, Hernandez G, Mascle O, Calvet L, Thouy F, Grapin K, Couhault P, Kinda F, Laurichesse G, Bonnet B, Adda M, Boirie Y, Souweine B. Association of nitrogen balance trajectories with clinical outcomes in critically ill COVID-19 patients: A retrospective cohort study. Clin Nutr 2022; 41:2895-2902. [PMID: 36109282 PMCID: PMC9444301 DOI: 10.1016/j.clnu.2022.08.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/26/2022] [Accepted: 08/24/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND & AIMS The intensity and duration of the catabolic phase in COVID-19 patients can differ between survivors and non-survivors. The purpose of the study was to assess the determinants of, and association between, nitrogen balance trajectories and outcome in critically ill COVID-19 patients. METHODS This retrospective monocentric observational study involved patients admitted to the intensive care unit (ICU) of the University Hospital of Clermont Ferrand, France, from January 2020 to May 2021 for COVID-19 pneumonia. Patients were excluded if referred from another ICU, if their ICU length of stay was <72 h, or if they were treated with renal replacement therapy during the first seven days after ICU admission. Data were collected prospectively at admission and during ICU stay. Death was recorded at the end of ICU stay. Comparisons of the time course of nitrogen balance according to outcome were analyzed using two-way ANOVA. At days 3, 5, 7, 10 and 14, uni- and multivariate logistic regression analyses were performed to assess the impact of a non-negative nitrogen-balance on ICU death. To investigate the relationships between nitrogen balance, inflammatory markers and protein intake, linear and non-nonlinear models were run at days 3, 5 and 7, and the amount of protein intake necessary to reach a neutral nitrogen balance was calculated. Subgroup analyses were carried out according to BMI, age, and sex. RESULTS 99 patients were included. At day 3, a similar negative nitrogen balance was observed in survivors and non-survivors: -16.4 g/d [-26.5, -3.3] and -17.3 g/d [-22.2, -3.8] (p = 0.54). The trajectories of nitrogen balance over time thus differed between survivors and non-survivors (p = 0.01). In survivors, nitrogen balance increased over time, but decreased from day 2 to day 6 in non-survivors, and thereafter increased slowly up to day 14. At days 5 and 7, a non-negative nitrogen-balance was protective from death. Administering higher protein amounts was associated with higher nitrogen balance. CONCLUSION We report a prolonged catabolic state in COVID patients that seemed more pronounced in non-survivors than in survivors. Our study underlines the need for monitoring urinary nitrogen excretion to guide the amount of protein intake required by COVID-19 patients.
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Affiliation(s)
- Claire Dupuis
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France,Université Clermont Auvergne, Unité de Nutrition Humaine, INRAe, CRNH Auvergne, F-63000, Clermont-Ferrand, France,Corresponding author.Service de Médecine Intensive et Réanimation, CHU Clermont Ferrand, France
| | - Alexandre Bret
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Alexandra Janer
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Olivia Guido
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Radhia Bouzgarrou
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Loïc Dopeux
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Gilles Hernandez
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Olivier Mascle
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Laure Calvet
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - François Thouy
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Kévin Grapin
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Pierre Couhault
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Francis Kinda
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | | | - Benjamin Bonnet
- CHU Clermont-Ferrand, Service d'Immunologie, Clermont-Ferrand, France,Université Clermont Auvergne, Laboratoire d’Immunologie, ECREIN, UMR1019 UNH, UFR Médecine de Clermont-Ferrand, Clermont-Ferrand, France
| | - Mireille Adda
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
| | - Yves Boirie
- Université Clermont Auvergne, Unité de Nutrition Humaine, INRAe, CRNH Auvergne, F-63000, Clermont-Ferrand, France,CHU Clermont-Ferrand, Service de Nutrition Clinique, Clermont-Ferrand, France
| | - Bertrand Souweine
- CHU Clermont-Ferrand, Service de Réanimation Médicale, Clermont-Ferrand, France
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Shang Y, Wu J, Liu J, Long Y, Xie J, Zhang D, Hu B, Zong Y, Liao X, Shang X, Ding R, Kang K, Liu J, Pan A, Xu Y, Wang C, Xu Q, Zhang X, Zhang J, Liu L, Zhang J, Yang Y, Yu K, Guan X, Chen D. Expert consensus on the diagnosis and treatment of severe and critical coronavirus disease 2019 (COVID-19). JOURNAL OF INTENSIVE MEDICINE 2022; 2:199-222. [PMID: 36785648 PMCID: PMC9411033 DOI: 10.1016/j.jointm.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 07/24/2022] [Indexed: 12/16/2022]
Affiliation(s)
- You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Jianfeng Wu
- Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510010, China
| | - Jinglun Liu
- Department of Emergency and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yun Long
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China
| | - Jianfeng Xie
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Dong Zhang
- Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Bo Hu
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Yuan Zong
- Department of Critical Care Medicine, Shaanxi Provincial Hospital, Xi'an, Shannxi 710068, China
| | - Xuelian Liao
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiuling Shang
- Department of Critical Care Medicine, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fuzhou, Fujian 350001, China
| | - Renyu Ding
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Kang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
| | - Jiao Liu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Aijun Pan
- Department of Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yonghao Xu
- Department of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Changsong Wang
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150001, China
| | - Qianghong Xu
- Department of Critical Care Medicine, Zhejiang Hospital Affiliated to Medical College of Zhejiang University, Hangzhou, Zhejiang 310013, China
| | - Xijing Zhang
- Department of Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shannxi 710032, China
| | - Jicheng Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Ling Liu
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Jiancheng Zhang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Yi Yang
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Kaijiang Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Xiangdong Guan
- Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510010, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Dechang Chen
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
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Zhu YB, Yao Y, Xu Y, Huang HB. Nitrogen balance and outcomes in critically ill patients: A systematic review and meta-analysis. Front Nutr 2022; 9:961207. [PMID: 36071933 PMCID: PMC9441883 DOI: 10.3389/fnut.2022.961207] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveNitrogen balance (NB) is a commonly used nutrition indicator in clinical practice, while its relation to the interpretation of protein malnutrition and outcomes in critically ill patients remains unclear. This study aimed to evaluate the impact of NB on prognosis in such a patient population.MethodsWe searched for relevant studies in PubMed, EMBASE, and the Cochrane Database up to May 10, 2022. Meta-analyses were performed to evaluate the relationship between NB (initial, final, or absolute change of NB levels) and prognosis and important clinical outcomes in critically ill patients. Pooled odds ratios (ORs) and mean differences (MDs) together with their 95% confidence intervals (CIs) were calculated. We also conducted subgroup analyses to explore the sources of heterogeneity.ResultsEight studies with 1,409 patients were eligible. These studies were moderate to high quality. When pooled, the initial NB was comparable between the survival and non-survival groups (five studies, MD 1.20, 95% CI, −0.70 to 3.11, I2 = 77%; P = 0.22), while a significantly higher final NB in the survival group than that in the death group (two studies, MD 3.69, 95% CI, 1.92–5.46, I2 = 55%; P < 0.0001). Two studies provided the absolute change of NB over time and suggested survival patients had more increased NB (MD 4.16 g/day, 95% CI, 3.70–4.61, I2 = 0%; P < 0.00001). Similarly, for studies utilizing multivariate logistic regression, we found an improved NB (four studies, OR 0.85, 95% CI, 0.73–0.99, I2 = 61%; P = 0.04) but not an initial NB (two studies, OR 0.92, 95% CI 0.78–1.08, I2 = 55%; P = 0.31) was significantly associated the risk of all-cause mortality. These results were further confirmed in subgroup analyses. In addition, patients with improved NB had more protein and calorie intake and a similar length of stay in hospital than those without.ConclusionsOur results suggested that an improved NB but not the initial NB level was associated with all-cause mortality in critically ill patients. This highlights the requirement for dynamic monitoring of NB during nutrition treatment. Further randomized clinical trials examining the impact of NB-guided protein intake on clinical outcomes in critically ill patients are warranted.Systematic review registrationINPLASY202250134, https://doi.org/10.37766/inplasy2022.5.0134.
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Affiliation(s)
- Yi-Bing Zhu
- Department of Emergency, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yan Yao
- Department of Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yuan Xu
- Department of Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Hui-Bin Huang
- Department of Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
- *Correspondence: Hui-Bin Huang
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