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Cho J, Shin A, Im C. Rapid advancement of enteral nutrition and in-hospital mortality in critically ill adults: A retrospective cohort study. JPEN J Parenter Enteral Nutr 2024; 48:982-989. [PMID: 39364885 DOI: 10.1002/jpen.2691] [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: 08/27/2024] [Revised: 09/12/2024] [Accepted: 09/16/2024] [Indexed: 10/05/2024]
Abstract
BACKGROUND Early enteral nutrition (EN) initiation is recommended for intensive care unit (ICU) patients; however, the optimal rate of EN advancement remains unclear. We aimed to assess the association between EN advancement and in-hospital mortality, as well as length of hospital stay. METHODS We performed a retrospective cohort study on 341 critically ill adults receiving EN between January 2021 and December 2023. The exposure of interest was rapid EN advancement, defined as an EN change exceeding the median value calculated between the first and seventh days after EN initiation. The comparator group included patients without rapid EN advancement. Factors related to in-hospital mortality and length of hospital stay were assessed using multivariable logistic and linear regression analyses. Subgroup analyses were performed for EN initiation within 48 h of ICU admission. RESULTS Rapid EN advancement reduced in-hospital mortality (adjusted odds ratio [OR] = 0.64, 95% CI 0.38-1.07, P = 0.092), although this was not statistically significant. However, rapid EN advancement significantly shortened hospital stay by 25 days (95% CI -25 to -9.2, P = 0.002). In the early EN initiation subgroup, rapid EN advancement significantly reduced in-hospital mortality (adjusted OR = 0.42, P = 0.039) and shortened hospital stay by 48 days (95% CI -77 to -19, P = 0.001). CONCLUSION Rapid EN advancement reduced in-hospital mortality and length of hospital stay in critically ill patients, especially with early EN initiation. These findings could inform clinical practices that enhance timely and adequate nutrition therapy in ICUs. Further randomized controlled trials can help establish clinical guidelines.
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Affiliation(s)
- Jungwon Cho
- Department of Pharmacy, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Ahreum Shin
- Department of Clinical Nutrition, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Chami Im
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- Seoul National University College of Medicine, Jongno-gu, Seoul, Republic of Korea
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Zhang L, Liu Y, Gao X, Zhou D, Zhang Y, Tian F, Gao T, Wang Y, Chen Z, Lian B, Hu H, Jia Z, Xue Z, Guo D, Zhou J, Gu Y, Gong F, Wu X, Tang Y, Li M, Jin G, Qin H, Yu J, Zhou Y, Chi Q, Yang H, Wang K, Li G, Li N, van Zanten ARH, Li J, Wang X. Immediate vs. gradual advancement to goal of enteral nutrition after elective abdominal surgery: A multicenter non-inferiority randomized trial. Clin Nutr 2021; 40:5802-5811. [PMID: 34775223 DOI: 10.1016/j.clnu.2021.10.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/05/2021] [Accepted: 10/20/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND & AIMS The strategy of increasing the postoperative enteral nutrition dose to the target goal has not yet been clarified. This study aimed to determine whether an immediate goal-dose enteral nutrition (IGEN) strategy is non-inferior to a gradual goal-dose enteral nutrition (GGEN) strategy in reducing infections in patients undergoing abdominal surgery involving the organs of the digestive system. METHODS This randomized controlled trial enrolled postoperative patients with nutritional risk screening 2002 scores ≥3 from 11 Chinese hospitals. Energy targets were calculated as 25 kcal/kg and 30 kcal/kg of ideal body weight for women and men, respectively. Patients were randomly assigned 1:1 to IGEN or GGEN group after enteral tolerance was confirmed (30% of the target on day 2). The IGEN group immediately started receiving 100% of the caloric requirements on day 3, while the GGEN group received 40% progressing to 80% of target on day 7. The primary endpoint was the infection rate until discharge, based on the intention-to-treat population. RESULTS A total of 411 patients were enrolled and randomized to the IGEN and GGEN groups, and five patients did not receive the allocated intervention. A total of 406 patients were included in the primary analysis, with 199 and 207 in the IGEN and GGEN groups, respectively. Infection was observed in 17/199 (8.5%) in the IGEN group and 19/207 (9.2%) in the GGEN group, respectively (difference, -0.6%; [95% confidence interval (CI), -6.2%-4.9%]; P = 0.009 for non-inferiority test). There were significantly more gastrointestinal intolerance events with IGEN than with GGEN (58/199 [29.1%] vs. 32/207 [15.5%], P < 0.001). All other secondary endpoints were non-significant. CONCLUSIONS Among postoperative patients at nutritional risk, IGEN was non-inferior to GGEN in regards to infectious complications. IGEN was associated with more gastrointestinal intolerance events. It showed that IGEN cannot be considered to be clinically directive. ClinicalTrials.gov (#NCT03117348).
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Affiliation(s)
- Li Zhang
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Yuxiu Liu
- Department of Medical Statistics, Jinling Hospital of the First School of Clinical Medicine, Southern Medical University, 305 Zhongshan East Road, Nanjing, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, China
| | - Xuejin Gao
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Da Zhou
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Yupeng Zhang
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Feng Tian
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Tingting Gao
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Yong Wang
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd., Chengdu, China
| | - Zhida Chen
- Department of General Surgery, First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, China
| | - Bo Lian
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Air Force Medical University, Changle West Road, Xincheng District, Xi'an, China
| | - Hao Hu
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, The Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, China
| | - Zhenyi Jia
- Department of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, No.301 Yanchang Middle Road, Shanghai, China
| | - Zhigang Xue
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng, Beijing, China
| | - Dong Guo
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No.16 Jiangsu Rd, Qingdao, China
| | - Junde Zhou
- Department of General Surgery, The 2nd Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Haerbin, China
| | - Yingchao Gu
- Department of General Surgery, The Second Affiliated Hospital, Army Medical University, Xinqiao Main Street, Shapingba District, Chongqing, China
| | - Fangyou Gong
- Department of General Surgery, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, China
| | - Xiaoting Wu
- Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, 37 Guo Xue Rd., Chengdu, China
| | - Yun Tang
- Department of General Surgery, First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, China
| | - Mengbin Li
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Air Force Medical University, Changle West Road, Xincheng District, Xi'an, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, The Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, China
| | - Huanlong Qin
- Department of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, No.301 Yanchang Middle Road, Shanghai, China
| | - Jianchun Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Wangfujing Street, Dongcheng, Beijing, China
| | - Yanbing Zhou
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, No.16 Jiangsu Rd, Qingdao, China
| | - Qiang Chi
- Department of General Surgery, The 2nd Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Haerbin, China
| | - Hua Yang
- Department of General Surgery, The Second Affiliated Hospital, Army Medical University, Xinqiao Main Street, Shapingba District, Chongqing, China
| | - Kunhua Wang
- Department of General Surgery, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, China
| | - Guoli Li
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Ning Li
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Arthur R H van Zanten
- Department of Intensive Care, Gelderse Vallei Hospital, Willy Brandtlaan 10, 6716 RP Ede, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, HELIX (Building 124), Stippeneng 4, 6708 WE Wageningen, the Netherlands
| | - Jieshou Li
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China
| | - Xinying Wang
- Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, China.
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Faerber JA, Huang J, Zhang X, Song L, DeCost G, Mascio CE, Ravishankar C, O'Byrne ML, Naim MY, Kawut SM, Goldmuntz E, Mercer-Rosa L. Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach. Front Cardiovasc Med 2021; 8:685855. [PMID: 34368247 PMCID: PMC8339319 DOI: 10.3389/fcvm.2021.685855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/21/2021] [Indexed: 11/15/2022] Open
Abstract
Introduction: Tetralogy of Fallot (TOF) repair is associated with excellent operative survival. However, a subset of patients experiences post-operative complications, which can significantly alter the early and late post-operative course. We utilized a machine learning approach to identify risk factors for post-operative complications after TOF repair. Methods: We conducted a single-center prospective cohort study of children <2 years of age with TOF undergoing surgical repair. The outcome was occurrence of post-operative cardiac complications, measured between TOF repair and hospital discharge or death. Predictors included patient, operative, and echocardiographic variables, including pre-operative right ventricular strain and fractional area change as measures of right ventricular function. Gradient-boosted quantile regression models (GBM) determined predictors of post-operative complications. Cross-validated GBMs were implemented with and without a filtering stage non-parametric regression model to select a subset of clinically meaningful predictors. Sensitivity analysis with gradient-boosted Poisson regression models was used to examine if the same predictors were identified in the subset of patients with at least one complication. Results: Of the 162 subjects enrolled between March 2012 and May 2018, 43 (26.5%) had at least one post-operative cardiac complication. The most frequent complications were arrhythmia requiring treatment (N = 22, 13.6%), cardiac catheterization (N = 17, 10.5%), and extracorporeal membrane oxygenation (ECMO) (N = 11, 6.8%). Fifty-six variables were used in the machine learning analysis, of which there were 21 predictors that were already identified from the first-stage regression. Duration of cardiopulmonary bypass (CPB) was the highest ranked predictor in all models. Other predictors included gestational age, pre-operative right ventricular (RV) global longitudinal strain, pulmonary valve Z-score, and immediate post-operative arterial oxygen level. Sensitivity analysis identified similar predictors, confirming the robustness of these findings across models. Conclusions: Cardiac complications after TOF repair are prevalent in a quarter of patients. A prolonged surgery remains an important predictor of post-operative complications; however, other perioperative factors are likewise important, including pre-operative right ventricular remodeling. This study identifies potential opportunities to optimize the surgical repair for TOF to diminish post-operative complications and secure improved clinical outcomes. Efforts toward optimizing pre-operative ventricular remodeling might mitigate post-operative complications and help reduce future morbidity.
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Affiliation(s)
- Jennifer A Faerber
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Jing Huang
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, United States.,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Xuemei Zhang
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Lihai Song
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Grace DeCost
- School of Public Health, Brown University, Providence, RI, United States
| | - Christopher E Mascio
- Division of Cardiothoracic Surgery, Department of Surgery, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Chitra Ravishankar
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Michael L O'Byrne
- Data Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.,Leonard Davis Institute and Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia, PA, United States
| | - Maryam Y Naim
- Departments of Anesthesiology, Critical Care Medicine and Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Steven M Kawut
- Departments of Medicine and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Elizabeth Goldmuntz
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Laura Mercer-Rosa
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
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