Systematic Reviews
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©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jul 28, 2019; 25(28): 3823-3837
Published online Jul 28, 2019. doi: 10.3748/wjg.v25.i28.3823
Table 1 Demographics of patients with inflammatory bowel disease included in the studies
Study ID Total (n ) (M:F) CD:UC:ID (n ) Age (yr) BMI (kg/m2 ) Steroid n (%) Immunomo-dulator n (%) Biologics n (%) Previous resection n (%) Adams et al [33 ] 90 (38:52) 76:14 Median: 35 (26-50) Median: 22.5 30 (33) 40 (44) 15 (17) 40 (44) Bamba et al [9 ] 72 (52:19) 43:29 UC Median: 39 (28-55) Median: 19.5 - - - 25 (35) CD Median: 29 (25-37) Csontos et al [30 ] 173 (92:81) 126:47 Mean: 34.8 ± 12.3 Mean: 23.6 - - - - Cushing et al [34 ] 89 (53:29) 0:89 Mean: 43 (9 – 86) Non-sarcopenic: 26 ± 8 - 33 (37) 26 (29) - Sarcopenic: 23 ± 6 Fujikawa et al [29 ] 69 (45:24) 0:69:0 Mean: 39.8 ± 14.4 Mean: 20.40 ± 3.65 - - - - Haskey et al [35 ] 110 (47:63) 75:35 Mean: 39 ± 15 Mean BMI: 26.4 ± 5.8 5 (4.5) 17 (15.5) 17 (15.5) - Holt et al [36 ] 44 (20:24) 44:0 Mean: 37.8 ± 14.2 Mean: 23.5 20 (45) 26 (59) 10 (24) 44 (100) Jansen et al [8 ] 55 (19:36) 55:0 Mean: 40 ± 11 Mean: 24.9 10 (18) 31 (56) 21 (38) - O’Brien et al [31 ] 77 (46:31) 52:21:4 Median: 42 (20-80) Median: 24 (16-37) 42 (55) - - - Pedersen et al [12 ] 178 (86:92) 127:51 Mean: 42.71 (18-86) - 86 (48) 63 (35) 42 (24) 178 (100) Sumi et al [27 ] 16 (12:4) 16:0 Responders median: 34 (18-68) Responders median: 21.7 5 (31) 8 (50) - 9 (56) Non-responders median: 31 (23-46) Non-responders Median: 16.8 Takaoka et al [13 ] 40 (30:10) 40:0 Median: 32.4 (25.3-37.8) Median:19.2 12 (30) 15 (38) 30 (75) 13 (33) Thiberge et al [32 ] 149 (68:81) 149:0 Mean: 41.0 ± 17.5 Mean: 22.7 ± 6.1 108 85 86 85 Zhang T et al [10 ] 114 (75:39) 114:0 Mean: 32 ± 11.47 Median: 13.66 - - - 114 (100) Zhang T et al [11 ] 204 (NR) 105:99 NR (min 18; max 65) Median: 18.41 99 (49) 53 (26) 25 (12) 14 (7) Zhang W et al [28 ] 138 (86:52) 138:0 Median: 29 (16-60) Median: 17.9 13 (9) 50 (36) - 37 (27)
Table 2 Components and interpretation of nutrition screening tools
NST NRS-2002[9 ] MUST[9 ] NRI [27 ]MIRT[8 ] SaskIBD-NR [35 ]NST components Initial screening BMI Serum albumin BMI Symptoms (nausea/vomiting/diarrhea/poor appetite > 2 wk) BMI Weight loss (last 3-6 mo) Present weight/usual weight Weight loss (last 3 mo) Weight loss (last month) Weight loss (last 6 mo) Acute disease effect3 CRP Anorexia Dietary intake (last week) Food restriction ICU patient Final Screening1 Weight loss Food intake Disease severity2 NST score indicating risk of malnutrition 0 = Low 0 = Low > 97.5 = No Risk Score range = 0-8 0-2 = Low risk 1 = Mild 1 = Medium 83.5-97.5 = Moderate 0 = Lowest 3-4 = Medium risk 2 = Moderate ≥ 2 = High < 83.5 = High 8 = Highest ≥ 5 = High risk ≥ 3 = High
Table 3 Components and interpretation of nutrition assessment tools
Nutrition Assessment Tools SGA[8 ,9 ,13 ] Comprehensive RD/GI Assessment[35 ] BIA[28 ,30 ] CT Scan[9 - 12 ,29 ,31 - 34 ,36 ] NAT Components Nutrient Intake BMI SMP mHUAC Weight loss GI symptoms, oral intake FFMI L3 SMI Symptoms affecting oral intake IBD location, severity, concurrent conditions L4 TPA Functional capacity Surgical history, medications ASMI Metabolic requirement Laboratory parameters (Albumin/Vit D/Iron/Vit B12) SMA Physical examination SCAI, HBS NAT interpretation A = Well nourished At risk Sarcopenia: Sarcopenia: B = Mild/moderately malnourished Not at risk FFMI: mHUAC: Lowest sex quartile at level of L3 vertebrae C = Severely malnourished Men: ≤ 17 kg/m2 L3 SMI: Lowest sex quartile, variable between studies (Male: < 42-55 cm2 /m2 ; Female: < 35.6-41 cm2 /m2 ) Women: ≤ 15 kg/m2 L4 TPA: Lowest sex quartile (Male < 56.7 cm2 /m2 , Female: < 35.6 cm2 /m2 ) SMP: Continuous variable ASMI/SMA: Continuous variable
Table 4 Proportion of nutrition abnormalities via nutrition screening tools
NST Proportion of low risk patient’s n (%) Proportion of mild-moderate risk patient’s n (%) Proportion of high-risk patient’s n (%) Study ID MUST 12 (16.7) 27 (37.5) 49 (68.1) Bamba et al [9 ] 118 (68.2) 18 (10.4) 37 (21.4) Csontos et al [30 ] 93 (84.5) 12 (10.9) 5 (4.5) Haskey et al [35 ] 10 (25.0) 6 (15) 24 (60) Takaoka et al [13 ] NRI 5 (31.3) 11 (68.8) Sumi et al [27 ] NRS-2002 0 (0) 24 (33.3) 48 (66.7) Bamba et al [9 ] 13 (32.5) 27 (67.5) Takaoka et al [13 ] SaskIBD-NRT 89 (80.9) 12 (10.9) 9 (8.2) Haskey et al [35 ]
Table 5 Proportion of nutrition abnormalities via nutrition assessment tools
NAT measure Proportion of non-sarcopenic patients n (%) Proportion of sarcopenic patients n (%) Study ID Sarcopenia 49 (54.4) 41 (45.6) Adams et al [33 ] 42 (58.3) 30 (41.7) Bamba et al [9 ] 125 (72.3) 48 (27.7) Csontos et al [30 ] 25 (30.5) 57 (69.5) Cushing et al [34 ] 51 (73.9) 18 (26.1) Fujikawa et al [29 ] 47 (67.1) 30 (38.9) O’Brien et al [31 ] 134 (75.3) 44 (24.7) Pedersen et al [12 ] 99 (66.4) 50 (33.6) Thiberge et al [32 ] 115 (56.4) 89 (43.6) Zhang et al [11 ] 44 (35.1) 70 (61.4) Zhang et al [10 ] Comprehensive RD/GI Assessment Proportion of patients not at risk n (%) Proportion of patients at risk of malnutrition n (%) Study ID 87 (79.1) 23 (20.9) Haskey et al [35 ] SGA Proportion of SGA A Proportion of SGA B Proportion of SGA C Study ID 8 (11.1) 37 (51.4) 27 (37.5%) Bamba et al [9 ] 8 (20.0) 17 (42.5) 15 (37.5%) Takaoka et al [13 ] 48 (87.3) 7 (12.7) Jansen et al [8 ]
Table 6 Nutrition screening tools correlating with nutrition assessment tools
NST Comparative NAT measure Statistical Variable Value Study ID MUST FFMI Cohen’s Kappa (low/normal FFMI vs low MUST) κ = 0.53 (95%CI: 0.39-0.67) Csontos et al [30 ] SMI Logistic Regression (MUST 0,1 vs ≥ 2) OR: 0.934, P = 0.014a Bamba et al [9 ] RD/GI Assessment Cohen’s Kappa κ = 0.15 Haskey et al [35 ] MIRT SGA Spearman’s Rank Correlation ρ = 0.394, P = 0.005a Jansen et al [8 ] NRS-2002 SMI Logistic Regression (NRS-2002 1, 2 vs ≥ 3) OR: 0.928, P = 0.008a Bamba et al [9 ] SaskIBD-NR RD/GI Assessment Cohen’s Kappa κ = 0.73 Haskey et al [35 ]
Table 7 Significant nutrition screening tool correlations with clinical outcomes
NST Comparative outcome measure Statistical variable Value Study ID MIRT Hospitalization Spearman’s rank correlation ρ = 0.398, P = 0.003a Jansen et al [8 ] Disease flare ρ = 0.299, P = 0.030a Disease complications1 ρ = 0.333, P = 0.015a Need for surgery ρ = 0.371, P = 0.006a NRI Response to infliximab Fischer’s exact test P = 0.037a Sumi et al [27 ] NRS-2002 Length of stay (< 28 vs ≥ 28 d) Chi-square test P = 0.032a Takaoka et al [13 ]
Table 8 Significant nutrition assessment tool correlations with clinical outcomes
NAT Comparative outcome measure Statistical analysis Result Study ID SGA Length of stay in hospital Chi-square test P = 0.008Takaoka et al [13 ] Sarcopenia Change in IBD disease activity at 6 mo (HBI) Paired t -test (baseline vs 6 mo) Sarcopenic: 0.4 (P = 0.80) Adams et al [33 ] Non-sarcopenic: -2.3 (P = 0.004) Need for operation (operation free survival curve) Kaplan-Meier Analysis P = 0.003Bamba et al [9 ] P = 0.003Zhang et al [11 ] Need for operation Cox-regression (multivariate) HR 0.318 (0.126-0.802), P = 0.015 Bamba et al [9 ] Need for any rescue therapy (medical/surgical) Fischers exact test P = 0.02Cushing et al [34 ] Multivariate logistic regression OR 3.98 (95%CI 1.12-14.1), P = 0.033 Post-operative complications (Major)1 OR 9.24 (95%CI 1.10-77.50). P = 0.04 Zhang et al [10 ] UC disease activity (Mayo Score ≥ 6) OR 8.49 (95%CI 1.80-40.10), P = 0.007 Zhang et al [11 ] Post-operative surgical site infection OR 4.91 (95%CI 1.09-23.50), P = 0.03 Fujikawa et al [29 ] Need for red blood cell transfusion OR 1.31, P = 0.014 Pedersen et al [12 ] ICU admission OR 1.32, P = 0.016 Post-operative sepsis OR 1.325, P = 0.009 Deep vein thrombosis OR 1.265, P = 0.0173 Clavien-Dindo grade 4 complication OR 1.329, P = 0.0052 ASMI Fecal calprotectin Spearman’s Rank Correlation ρ = -0.564, P = 0.005 Holt et al [36 ] L3 SMI UC disease activity (Mayo Score) ρ = -0.523, P ≤ 0.01 Zhang et al [11 ] SMA ρ = -0.445, P ≤ 0.01 SMP Post-operative complications (Overall)2 Multivariate logistic regression analysis OR: 0.487 (95%CI 0.307-0.772) P = 0.002a Zhang et al [28 ] Post-op complications (Major)1 OR: 0.588 (95%CI 0.422-0.820) P = 0.002a