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Review of nutritional screening and assessment tools and clinical outcomes in heart failure

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Abstract

Recent studies have suggested that undernutrition as defined using multidimensional nutritional evaluation tools may affect clinical outcomes in heart failure (HF). The evidence supporting this correlation is unclear. Therefore, we conducted this systematic review to critically appraise the use of multidimensional evaluation tools in the prediction of clinical outcomes in HF. We performed descriptive analyses of all identified articles involving qualitative analyses. We used STATA to conduct meta-analyses when at least three studies that tested the same type of nutritional assessment or screening tools and used the same outcome were identified. Sensitivity analyses were conducted to validate our positive results. We identified 17 articles with qualitative analyses and 11 with quantitative analysis after comprehensive literature searching and screening. We determined that the prevalence of malnutrition is high in HF (range 16–90 %), particularly in advanced and acute decompensated HF (approximate range 75–90 %). Undernutrition as identified by multidimensional evaluation tools may be significantly associated with hospitalization, length of stay and complications and is particularly strongly associated with high mortality. The meta-analysis revealed that compared with other tools, Mini Nutritional Assessment (MNA) scores were the strongest predictors of mortality in HF [HR (4.32, 95 % CI 2.30–8.11)]. Our results remained reliable after conducting sensitivity analyses. The prevalence of malnutrition is high in HF, particularly in advanced and acute decompensated HF. Moreover, undernutrition as identified by multidimensional evaluation tools is significantly associated with unfavourable prognoses and high mortality in HF.

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References

  1. Krack A, Sharma R, Figulla HR, Anker SD (2005) The importance of the gastrointestinal system in the pathogenesis of heart failure. Eur Heart J 26:2368–2374

    Article  CAS  PubMed  Google Scholar 

  2. Valentova M, von Haehling S, Doehner W, Murin J, Anker SD, Sandek A (2013) Liver dysfunction and its nutritional implications in heart failure. Nutrition 29:370–378

    Article  CAS  PubMed  Google Scholar 

  3. Kalantar-Zadeh K, Anker SD, Horwich TB, Fonarow GC (2008) Nutritional and anti-inflammatory interventions in chronic heart failure. Am J Cardiol 101:89e–103e

    Article  CAS  PubMed  Google Scholar 

  4. Sandek A, Doehner W, Anker SD, von Haehling S (2009) Nutrition in heart failure: an update. Curr Opin Clin Nutr Metab Care 12:384–391

    Article  PubMed  Google Scholar 

  5. von Haehling S, Doehner W, Anker SD (2007) Nutrition, metabolism, and the complex pathophysiology of cachexia in chronic heart failure. Cardiovasc Res 73:298–309

    Article  Google Scholar 

  6. Kalantar-Zadeh K (2005) Recent advances in understanding the malnutrition-inflammation-cachexia syndrome in chronic kidney disease patients: What is next? Semin Dial 18:365–369

    Article  PubMed  Google Scholar 

  7. Rahman A, Jafry S, Jeejeebhoy K, Nagpal AD, Pisani B, Agarwala R (2015) Malnutrition and Cachexia in Heart Failure. JPEN J Parenter Enteral Nutr. doi:10.1177/0148607114566854

    Google Scholar 

  8. Pureza V, Florea VG (2013) Mechanisms for cachexia in heart failure. Curr Heart Fail Rep 10:307–314

    Article  PubMed  Google Scholar 

  9. Tsuchihashi-Makaya M, Kinugawa S (2013) Nutrition as a new treatment target in chronic heart failure. Circ J 77:604–605

    Article  CAS  PubMed  Google Scholar 

  10. White JV, Guenter P, Jensen G, Malone A, Schofield M (2012) Consensus statement: Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). JPEN J Parenter Enteral Nutr 36:275–283

    Article  PubMed  Google Scholar 

  11. Elia M, Zellipour L, Stratton RJ (2005) To screen or not to screen for adult malnutrition? Clin Nutr 24:867–884

    Article  CAS  PubMed  Google Scholar 

  12. Johnson TM, Overgard EB, Cohen AE, DiBaise JK (2013) Nutrition assessment and management in advanced liver disease. Nutr Clin Pract 28:15–29

    Article  PubMed  Google Scholar 

  13. Fuhrman MP, Charney P, Mueller CM (2004) Hepatic proteins and nutrition assessment. J Am Diet Assoc 104:1258–1264

    Article  CAS  PubMed  Google Scholar 

  14. Mueller C, Compher C, Ellen DM (2011) A.S.P.E.N. clinical guidelines: nutrition screening, assessment, and intervention in adults. JPEN J Parenter Enteral Nutr 35:16–24

    Article  PubMed  Google Scholar 

  15. Jeejeebhoy KN (2000) Nutritional assessment. Nutrition 16:585–590

    Article  CAS  PubMed  Google Scholar 

  16. Klein S, Kinney J, Jeejeebhoy K, Alpers D, Hellerstein M, Murray M, Twomey P (1997) Nutrition support in clinical practice: review of published data and recommendations for future research directions. Summary of a conference sponsored by the National Institutes of Health, American Society for Parenteral and Enteral Nutrition, and American Society for Clinical Nutrition. Am J Clin Nutr 66:683–706

    CAS  PubMed  Google Scholar 

  17. van Bokhorst-de van der Schueren MA, Guaitoli PR, Jansma EP, de Vet HC (2014) Nutrition screening tools: does one size fit all? A systematic review of screening tools for the hospital setting. Clin Nutr 33:39–58

    Article  PubMed  Google Scholar 

  18. (2010) Amercian Society for Parenteral and Enteral Nutrition (APSEN). Board of Directors and Clinical Practice Committee. Definitions of terms, styles, and conventions used in APSEN. Board of Directors-approved documents. July http://www.nutritioncare.org/Clinical_Practice_Library/. Accessed 22 September 2014

  19. Kondrup J, Rasmussen HH, Hamberg O, Stanga Z (2003) Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials. Clin Nutr 22:321–336

    Article  PubMed  Google Scholar 

  20. Buzby GP, Mullen JL, Matthews DC, Hobbs CL, Rosato EF (1980) Prognostic nutritional index in gastrointestinal surgery. Am J Surg 139:160–167

    Article  CAS  PubMed  Google Scholar 

  21. Wolinsky FD, Coe RM, McIntosh WA, Kubena KS, Prendergast JM, Chavez MN, Miller DK, Romeis JC, Landmann WA (1990) Progress in the development of a nutritional risk index. J Nutr 120(Suppl 11):1549–1553

    PubMed  Google Scholar 

  22. Bouillanne O, Morineau G, Dupont C, Coulombel I, Vincent JP, Nicolis I, Benazeth S, Cynober L, Aussel C (2005) Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr 82:777–783

    CAS  PubMed  Google Scholar 

  23. Mueller C, Miller S, Schwartz D, Kovacevich D, McClave S (2012) The American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) Adult Nutrition Support Core Curriculum. 2nd ed. American Society for Parenteral and Enteral Nutrition, Silver Spring

    Google Scholar 

  24. Guigoz Y, Vellas B (1999) The Mini Nutritional Assessment (MNA) for grading the nutritional state of elderly patients: presentation of the MNA, history and validation. Nestle Nutrition workshop series Clinical & Performance Programme 1:3–11; discussion 11–12

  25. Detsky AS, McLaughlin JR, Baker JP, Johnston N, Whittaker S, Mendelson RA, Jeejeebhoy KN (1987) What is subjective global assessment of nutritional status? JPEN J Parenter Enteral Nutr 11:8–13

    Article  CAS  PubMed  Google Scholar 

  26. Field L, Hand R (2015) Differentiating malnutrition screening and assessment: a nutrition care process perspective. J Acad Nutr Diet 115:824–828

    Article  PubMed  Google Scholar 

  27. Charney P (2008) Nutrition screening vs nutrition assessment: how do they differ? Nutr Clin Pract 23:366–372

    Article  PubMed  Google Scholar 

  28. Lacey K, Pritchett E (2003) Nutrition Care Process and Model: ADA adopts road map to quality cape and outcomes management. J Am Diet Assoc 103:1061–1072

    Article  PubMed  Google Scholar 

  29. Anand I, McMurray JJV, Whitmore J, Warren M, Pham A, McCamish MA, Burton PBJ (2004) Anemia and its relationship to clinical outcome in heart failure. Circulation 110:149–154

    Article  PubMed  Google Scholar 

  30. Lourenco P, Silva S, Frioes F, Alvelos M, Amorim M, Couto M, Torres-Ramalho P, Guimaraes JT, Araujo JP, Bettencourt P (2014) Low prealbumin is strongly associated with adverse outcome in heart failure. Heart 100:1780–1785

    Article  CAS  PubMed  Google Scholar 

  31. Jensen GL, Hsiao PY, Wheeler D (2012) Adult nutrition assessment tutorial. JPEN J Parenter Enteral Nutr 36:267–274

    Article  CAS  PubMed  Google Scholar 

  32. Nicol SM, Carroll DL, Homeyer CM, Zamagni CM (2002) The identification of malnutrition in heart failure patients. Eur J Cardiovasc Nurs 1:139–147

    Article  PubMed  Google Scholar 

  33. Sargento L, Longo S, Lousada N, dos Reis RP (2014) The importance of assessing nutritional status in elderly patients with heart failure. Curr Heart Fail Rep 11:220–226

    CAS  PubMed  Google Scholar 

  34. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JPA, Clarke M, Devereaux PJ, Kleijnen J, Moher D (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 151:W65–W94

    Article  PubMed  Google Scholar 

  35. Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25:603–605

    Article  PubMed  Google Scholar 

  36. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR (2007) Practical methods for incorporating summary time-to-event data into meta-analysis. Trials 8:16

    Article  PubMed  PubMed Central  Google Scholar 

  37. Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327:557–560

    Article  PubMed  PubMed Central  Google Scholar 

  38. Vellas B, Guigoz Y, Garry PJ, Nourhashemi F, Bennahum D, Lauque S, Albarede JL (1999) The mini nutritional assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition 15:116–122

    Article  CAS  PubMed  Google Scholar 

  39. Veloso LG, Pereira-Barretto AC, de Oliveira MT Jr, Munhoz RT, Morgado PC, Ramires JAF (2006) Score for nutritional status evaluation: the role played in the prognostic stratification of dilated cardiomyopathy and advanced heart failure patients. Arq Bras Cardiol 87:178–184

    Article  PubMed  Google Scholar 

  40. Rubenstein LZ, Harker JO, Salva A, Guigoz Y, Vellas B (2001) Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF). J Gerontol A Biol Sci Med Sci 56:M366–M372

    Article  CAS  PubMed  Google Scholar 

  41. Ignacio de Ulibarri J, Gonzalez-Madrono A, de Villar NG, Gonzalez P, Gonzalez B, Mancha A, Rodriguez F, Fernandez G (2005) CONUT: a tool for controlling nutritional status. First validation in a hospital population. Nutr Hosp 20:38–45

    CAS  PubMed  Google Scholar 

  42. Gassull MA, Cabre E, Vilar L, Alastrue AM (1984) Protein-energy malnutrition: an integral approach and a simple new classification. Hum Nutr Clin Nutr 38:419–431

    CAS  PubMed  Google Scholar 

  43. Gastelurrutia P, Lupon J, Domingo M, Ribas N, Noguero M, Martinez C, Cortes M, Bayes-Genis A (2011) Usefulness of body mass index to characterize nutritional status in patients with heart failure. Am J Cardiol 108:1166–1170

    Article  PubMed  Google Scholar 

  44. Suzuki N, Kida K, Suzuki K, Harada T, Akashi YJ (2015) Assessment of transthyretin combined with mini nutritional assessment on admission provides useful prognostic information in patients with acute decompensated heart failure. Int Heart J 56:226–233

    Article  CAS  PubMed  Google Scholar 

  45. Yost G, Gregory M, Bhat G (2014) Short-form nutrition assessment in patients with advanced heart failure evaluated for ventricular assist device placement or cardiac transplantation. Nutr Clin Pract 29:686–691

    Article  PubMed  Google Scholar 

  46. Sargento L, Satendra M, Almeida I, Sousa C, Gomes S, Salazar F, Lousada N, Palma Dos Reis R (2013) Nutritional status of geriatric outpatients with systolic heart failure and its prognostic value regarding death or hospitalization, biomarkers and quality of life. J Nutr Health Aging 17:300–304

    Article  CAS  PubMed  Google Scholar 

  47. Aggarwal A, Kumar A, Gregory MP, Blair C, Pauwaa S, Tatooles AJ, Pappas PS, Bhat G (2013) Nutrition assessment in advanced heart failure patients evaluated for ventricular assist devices or cardiac transplantation. Nutr Clin Pract 28:112–119

    Article  PubMed  Google Scholar 

  48. Bonilla-Palomas JL, Gamez-Lopez AL, Anguita-Sanchez MP, Castillo-Dominguez JC, Garcia-Fuertes D, Crespin-Crespin M, Lopez-Granados A, Suarez de Lezo J (2011) Impact of malnutrition on long-term mortality in hospitalized patients with heart failure. Rev Esp Cardiol 64:752–758

    Article  PubMed  Google Scholar 

  49. Kaneko H, Suzuki S, Goto M, Yuzawa Y, Arita T, Yagi N, Murata N, Kato Y, Kano H, Matsuno S et al (2015) Geriatric nutritional risk index in hospitalized heart failure patients. Int J Cardiol 181:213–215

    Article  PubMed  Google Scholar 

  50. Izawa KP, Watanabe S, Hirano Y, Yamamoto S, Oka K, Suzuki N, Kida K, Suzuki K, Osada N, Omiya K et al (2014) The relation between Geriatric Nutritional Risk Index and muscle mass, muscle strength, and exercise capacity in chronic heart failure patients. Int J Cardiol 177:1140–1141

    Article  PubMed  Google Scholar 

  51. Narumi T, Arimoto T, Funayama A, Kadowaki S, Otaki Y, Nishiyama S, Takahashi H, Shishido T, Miyashita T, Miyamoto T et al (2013) Prognostic importance of objective nutritional indexes in patients with chronic heart failure. J Cardiol 62:307–313

    Article  PubMed  Google Scholar 

  52. Kinugasa Y, Kato M, Sugihara S, Hirai M, Yamada K, Yanagihara K, Yamamoto K (2013) Geriatric nutritional risk index predicts functional dependency and mortality in patients with heart failure with preserved ejection fraction. Circ J 77:705–711

    Article  CAS  PubMed  Google Scholar 

  53. Gouya G, Voithofer P, Neuhold S, Storka A, Vila G, Pacher R, Wolzt M, Hulsmann M (2014) Association of nutritional risk index with metabolic biomarkers, appetite-regulatory hormones and inflammatory biomarkers and outcome in patients with chronic heart failure. Int J Clin Pract 68:1293–1300

    Article  CAS  PubMed  Google Scholar 

  54. Al-Najjar Y, Clark AL (2012) Predicting outcome in patients with left ventricular systolic chronic heart failure using a nutritional risk index. Am J Cardiol 109:1315–1320

    Article  PubMed  Google Scholar 

  55. Aziz EF, Javed F, Pratap B, Musat D, Nader A, Pulimi S, Alivar CL, Herzog E, Kukin ML (2011) Malnutrition as assessed by nutritional risk index is associated with worse outcome in patients admitted with acute decompensated heart failure: an ACAP-HF data analysis. Heart Int 6:e2

    PubMed  PubMed Central  Google Scholar 

  56. Tevik K, Thurmer H, Husby MI, de Soysa AK, Helvik AS (2014) Nutritional risk screening in hospitalized patients with heart failure. Clin Nutr 34:257–264

    Article  PubMed  Google Scholar 

  57. Gastelurrutia P, Lupon J, de Antonio M, Zamora E, Domingo M, Urrutia A, Altimir S, Coll R, Diez C, Bayes-Genis A (2014) Body mass index, body fat, and nutritional status of patients with heart failure: The PLICA study. Clin Nutr 34:1233–1238

    Article  PubMed  Google Scholar 

  58. Son YJ, Song EK (2013) High nutritional risk is associated with worse health-related quality of life in patients with heart failure beyond sodium intake. Eur J Cardiovasc Nurs 12:184–192

    Article  PubMed  Google Scholar 

  59. Buzby GP, Knox LS, Crosby LO, Eisenberg JM, Haakenson CM, McNeal GE, Page CP, Peterson OL, Reinhardt GF, Williford WO (1988) Study protocol: a randomized clinical trial of total parenteral nutrition in malnourished surgical patients. Am J Clin Nutr 47:366–381

    CAS  PubMed  Google Scholar 

  60. Allison SP (2000) Malnutrition, disease, and outcome. Nutrition 16:590–593

    Article  CAS  PubMed  Google Scholar 

  61. Lomivorotov VV, Efremov SM, Boboshko VA, Nikolaev DA, Vedernikov PE, Lomivorotov VN, Karaskov AM (2013) Evaluation of nutritional screening tools for patients scheduled for cardiac surgery. Nutrition 29:436–442

    Article  PubMed  Google Scholar 

  62. Lomivorotov VV, Efremov SM, Boboshko VA, Nikolaev DA, Vedernikov PE, Deryagin MN, Lomivorotov VN, Karaskov AM (2013) Prognostic value of nutritional screening tools for patients scheduled for cardiac surgery. Interact CardioVasc Thorac Surg 16:612–618

    Article  PubMed  PubMed Central  Google Scholar 

  63. Panichi V, Cupisti A, Rosati A, Di Giorgio A, Scatena A, Menconi O, Bozzoli L, Bottai A (2014) Geriatric nutritional risk index is a strong predictor of mortality in hemodialysis patients: data from the Riscavid cohort. J Nephrol 27:193–201

    Article  CAS  PubMed  Google Scholar 

  64. Park JH, Kim SB, Shin HS, Jung YS, Rim H (2012) Geriatric nutritional risk index may be a significant predictor of mortality in Korean hemodialysis patients: a single center study. Ther Apher Dial 16:121–126

    Article  CAS  PubMed  Google Scholar 

  65. Norman K, Pichard C, Lochs H, Pirlich M (2008) Prognostic impact of disease-related malnutrition. Clin Nutr 27:5–15

    Article  PubMed  Google Scholar 

  66. Strassburg S, Springer J, Anker SD (2005) Muscle wasting in cardiac cachexia. Int J Biochem Cell Biol 37:1938–1947

    Article  CAS  PubMed  Google Scholar 

  67. Jones JM (2004) Validity of nutritional screening and assessment tools. Nutrition 20:312–317

    Article  PubMed  Google Scholar 

  68. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J (2003) The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 3:25

    Article  PubMed  PubMed Central  Google Scholar 

  69. Mosterd A, Hoes AW (2007) Clinical epidemiology of heart failure. Heart 93:1137–1146

    Article  PubMed  PubMed Central  Google Scholar 

  70. Gamez-Lopez AL, Bonilla-Palomas JL, Anguita-Sanchez M, Moreno-Conde M, Lopez-Ibanez C, Alhambra-Exposito R, Castillo-Dominguez JC, Villar-Raez A, Suarez de Lezo J (2014) Rationale and design of PICNIC study: nutritional intervention program in hospitalized patients with heart failure who are malnourished. Rev Esp Cardiol (Engl Ed) 67:277–282

    Article  Google Scholar 

  71. Alves FD, Souza GC, Aliti GB, Rabelo-Silva ER, Clausell N, Biolo A (2015) Dynamic changes in bioelectrical impedance vector analysis and phase angle in acute decompensated heart failure. Nutrition 31:84–89

    Article  PubMed  Google Scholar 

  72. Weyer S, Zink MD, Wartzek T, Leicht L, Mischke K, Vollmer T, Leonhardt S (2014) Bioelectrical impedance spectroscopy as a fluid management system in heart failure. Physiol Meas 35:917–930

    Article  PubMed  Google Scholar 

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Lin, H., Zhang, H., Lin, Z. et al. Review of nutritional screening and assessment tools and clinical outcomes in heart failure. Heart Fail Rev 21, 549–565 (2016). https://doi.org/10.1007/s10741-016-9540-0

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