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Cited by 9Nutrition and Health in AgingFrailty in Older AdultsClinical Nutrition and Gastroenterology

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Prognostic implications of Global Leadership Initiative on Malnutrition–defined malnutrition in older patients who underwent cardiac surgery in China

Liu, Zhang, Zang, Wangfu, Zhang, Peng, Shen, Zile·2023·Surgery
DOI 10.1016/j.surg.2022.11.008
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Abstract

Background The proportion of older patients who are candidates for cardiac surgery is increasing. Growing evidence has shown that malnutrition is associated with a poor prognosis after cardiac surgery. The present study aimed to investigate the prognostic implications of malnutrition defined by the Global Leadership Initiative on Malnutrition in older patients who underwent cardiac surgery. Methods From November 2015 to January 2021, 401 older patients who underwent cardiac surgery were retrospectively enrolled and evaluated using the Global Leadership Initiative on Malnutrition criteria. The perioperative characteristics and clinical outcomes were collected. The independent risk factors for postoperative complications and overall survival were analyzed. Results The prevalence of Global Leadership Initiative on Malnutrition-defined malnutrition was 22.7% in this study. Patients with Global Leadership Initiative on Malnutrition-defined malnutrition had higher risks of postoperative complications (65.9% vs 49.7%, P = .006) and poor overall survival (68.1% vs 83.9%, P = .0019). Global Leadership Initiative on Malnutrition-defined malnutrition was also related to a longer postoperative hospital stay and prolonged intensive care stay. Five factors were identified as independent risk factors for overall survival: Global Leadership Initiative on Malnutrition-defined malnutrition (P = .009), chronic heart failure (P = .007), atrial fibrillation (P = .029), operative time (P Conclusio…

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Research works printed but not linked: 40

  1. Shahian, 2009, The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1--coronary artery bypass grafting surgery, Ann Thorac Surg, 88, S2, 10.1016/j.athoracsur.2009.05.053 · DOI
  2. Chivasso, 2018, Predictors of survival in octogenarians after mitral valve surgery for degenerative disease: the mitral surgery in octogenarians study, J Thorac Cardiovasc Surg, 155, 1474, 10.1016/j.jtcvs.2017.11.027 · DOI
  3. Atladottir, 2021, Impact of perioperative course during cardiac surgery on outcomes in patients 80 years and older, J Thorac Cardiovasc Surg, 162, 1568, 10.1016/j.jtcvs.2020.03.005 · DOI
  4. Likosky, 2008, Long-term survival of the very elderly undergoing coronary artery bypass grafting, Ann Thorac Surg, 85, 1233, 10.1016/j.athoracsur.2007.12.066 · DOI
  5. Speziale, 2011, Short-term and long-term results of cardiac surgery in elderly and very elderly patients, J Thorac Cardiovasc Surg, 141, 725, 10.1016/j.jtcvs.2010.05.010 · DOI
  6. Alexander, 2000, Outcomes of cardiac surgery in patients > or = 80 years: results from the National Cardiovascular Network, J Am Coll Cardiol, 35, 731, 10.1016/S0735-1097(99)00606-3 · DOI
  7. Collart, 2005, Valvular surgery in octogenarians: operative risks factors, evaluation of Euroscore and long term results, Eur J Cardiothorac Surg, 27, 276, 10.1016/j.ejcts.2004.10.041 · DOI
  8. Dupuis, 2008, Predicting outcomes in cardiac surgery: risk stratification matters?, Curr Opin Cardiol, 23, 560, 10.1097/HCO.0b013e32831217ed · DOI
  9. O'Neill, 2016, Considerations in cardiac revascularization for the elderly patient: age isn't everything, Can J Cardiol, 32, 1132
  10. O'Keeffe, 2019, Potentially modifiable determinants of malnutrition in older adults: a systematic review, Clin Nutr, 38, 2477, 10.1016/j.clnu.2018.12.007 · DOI
  11. Norman, 2021, Malnutrition in older adults-recent advances and remaining challenges, Nutrients, 13, 2764, 10.3390/nu13082764 · DOI
  12. Lomivorotov, 2013, Evaluation of nutritional screening tools for patients scheduled for cardiac surgery, Nutrition, 29, 436, 10.1016/j.nut.2012.08.006 · DOI
  13. Gucu, 2021, Prognostic nutritional index as a marker of mortality: an observational cohort study of patients undergoing cardiac surgery, Rev Cardiovasc Med, 22, 499, 10.31083/j.rcm2202057 · DOI
  14. Chermesh, 2014, Malnutrition in cardiac surgery: food for thought, Eur J Prev Cardiol, 21, 475, 10.1177/2047487312452969 · DOI
  15. Kawakami, 1999, Reduced immune function and malnutrition in the elderly, Tohoku J Exp Med, 187, 157, 10.1620/tjem.187.157 · DOI
  16. Lengele, 2021, Impact of malnutrition status on muscle parameter changes over a 5-year follow-up of community-dwelling older adults from the SarcoPhAge cohort, Nutrients, 13, 407, 10.3390/nu13020407 · DOI
  17. Cederholm, 2019, GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community, Clin Nutr, 38, 1, 10.1016/j.clnu.2018.08.002 · DOI · Paper page
  18. Seoudy, 2021, Frailty in patients undergoing transcatheter aortic valve replacement: prognostic value of the Geriatric Nutritional Risk Index, J Cachexia Sarcopenia Muscle, 12, 577, 10.1002/jcsm.12689 · DOI
  19. Liu, 2022, Development and validation of Global Leadership Initiative on Malnutrition for prognostic prediction in patients who underwent cardiac surgery, Nutrients, 14, 2409, 10.3390/nu14122409 · DOI
  20. Liu, 2022, Prognostic effect of thoracic sarcopaenia on short- and long-term clinical outcomes in patients who underwent cardiac valve surgery, Heart Lung Circ, 31, 1408, 10.1016/j.hlc.2022.05.041 · DOI
  21. Weber, 2011, Atherosclerosis: current pathogenesis and therapeutic options, Nat Med, 17, 1410, 10.1038/nm.2538 · DOI · Paper page
  22. Schoen, 2012, Mechanisms of function and disease of natural and replacement heart valves, Annu Rev Pathol, 7, 161, 10.1146/annurev-pathol-011110-130257 · DOI
  23. Poullis, 2015, The validity of the original EuroSCORE and EuroSCORE II in patients over the age of seventy, Interact Cardiovasc Thorac Surg, 20, 172, 10.1093/icvts/ivu345 · DOI
  24. Fang, 2020, A research agenda for ageing in China in the 21st century (2nd edition): focusing on basic and translational research, long-term care, policy and social networks, Ageing Res Rev, 64, 101174, 10.1016/j.arr.2020.101174 · DOI
  25. Friedrich, 2009, Cardiac surgery in the elderly patient, Dtsch Arztebl Int, 106, 416
  26. Portuondo, 2020, Malnutrition in elective surgery: how traditional markers might be failing surgeons and patients, Surgery, 168, 1144, 10.1016/j.surg.2020.08.012 · DOI
  27. Besora-Moreno, 2020, Social and economic factors and malnutrition or the risk of malnutrition in the elderly: a systematic review and meta-analysis of observational studies, Nutrients, 12, 737, 10.3390/nu12030737 · DOI
  28. Schiffman, 2000, Taste and smell perception affect appetite and immunity in the elderly, Eur J Clin Nutr, 54, S54, 10.1038/sj.ejcn.1601026 · DOI
  29. Morais, 2018, Effects of aging and insulin resistant states on protein anabolic responses in older adults, Exp Gerontol, 108, 262, 10.1016/j.exger.2018.04.025 · DOI
  30. Barclay, 2019, The Role of the IGF-1 signaling cascade in muscle protein synthesis and anabolic resistance in aging skeletal muscle, Front Nutr, 6, 146, 10.3389/fnut.2019.00146 · DOI
  31. Correia, 2003, The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis, Clin Nutr, 22, 235, 10.1016/S0261-5614(02)00215-7 · DOI
  32. Wang, 2022, Establishing a new body mass index cutoff value for malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) tool in Chinese older adults, JPEN J Parenter Enteral Nutr, 46, 1071, 10.1002/jpen.2296 · DOI
  33. Lopez-Delgado, 2019, Nutrition in adult cardiac surgery: preoperative evaluation, management in the postoperative period, and clinical implications for outcomes, J Cardiothorac Vasc Anesth, 33, 3143, 10.1053/j.jvca.2019.04.002 · DOI
  34. 2012, The survival of patients with heart failure with preserved or reduced left ventricular ejection fraction: an individual patient data meta-analysis, Eur Heart J, 33, 1750, 10.1093/eurheartj/ehr254 · DOI
  35. Malaisrie, 2018, Burden of preoperative atrial fibrillation in patients undergoing coronary artery bypass grafting, J Thorac Cardiovasc Surg, 155, 2358, 10.1016/j.jtcvs.2018.01.069 · DOI
  36. Zakkar, 2015, Inflammation, oxidative stress and postoperative atrial fibrillation in cardiac surgery, Pharmacol Ther, 154, 13, 10.1016/j.pharmthera.2015.06.009 · DOI
  37. Hall, 2013, Identification of inflammatory mediators and their modulation by strategies for the management of the systemic inflammatory response during cardiac surgery, J Cardiothorac Vasc Anesth, 27, 983, 10.1053/j.jvca.2012.09.013 · DOI
  38. Zhou, 2021, Postoperative nadir hemoglobin and adverse outcomes in patients undergoing on-pump cardiac operation, Ann Thorac Surg, 112, 708, 10.1016/j.athoracsur.2021.01.016 · DOI
  39. Barazzoni, 2022, Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition, Clin Nutr, 41, 1425, 10.1016/j.clnu.2022.02.001 · DOI · Paper page
  40. Heyland, 2016, Combining nutrition and exercise to optimize survival and recovery from critical illness: conceptual and methodological issues, Clin Nutr, 35, 1196, 10.1016/j.clnu.2015.07.003 · DOI

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Metadata

Authors
Liu, Z., Zang, W., Zhang, P., & Shen, Z.
Affiliations
Tongji University (CN)
Corresponding author
Zhang, Peng
ORCID
Venue
Surgery
Publisher
Elsevier BV
Published
2023-02
Volume
173
Issue
2
Pages
472-478
ISSN
0039-6060 (ISSN-L)
DOI
10.1016/j.surg.2022.11.008
OpenAlex
W4311022746
Cited by
8
References
0
Citations by year
2026: 3 · 2025: 1 · 2024: 3 · 2023: 1
FWCI
0.77
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Surgery (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Science and Technology Commission of Shanghai Municipality (16140901600, 2018SYPDRC065)
  • Health and Family Planning Commission of Sichuan Province
  • Shanghai Municipal Commission of Health and Family Planning (201640203)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
Keywords
malnutrition, GLIM, elderly patients, cardiac surgery, postoperative complications, overall survival, preoperative risk assessment, chronic heart failure, atrial fibrillation, hemoglobin, ICU length of stay, perioperative outcomes
MeSH terms
Aged, Cardiac Surgical Procedures, Humans, Leadership, Nutritional Status, Postoperative Complications, Prognosis, Retrospective Studies, Malnutrition

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