Systematic Reviews
Copyright ©The Author(s) 2019.
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 IDTotal (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)76:14Median: 35 (26-50)Median: 22.530 (33)40 (44)15 (17)40 (44)
Bamba et al[9]72 (52:19)43:29UC Median: 39 (28-55)Median: 19.5---25 (35)
CD Median: 29 (25-37)
Csontos et al[30]173 (92:81)126:47Mean: 34.8 ± 12.3Mean: 23.6----
Cushing et al[34]89 (53:29)0:89Mean: 43 (9 – 86)Non-sarcopenic: 26 ± 8-33 (37)26 (29)-
Sarcopenic: 23 ± 6
Fujikawa et al[29]69 (45:24)0:69:0Mean: 39.8 ± 14.4Mean: 20.40 ± 3.65----
Haskey et al[35]110 (47:63)75:35Mean: 39 ± 15Mean BMI: 26.4 ± 5.85 (4.5)17 (15.5)17 (15.5)-
Holt et al[36]44 (20:24)44:0Mean: 37.8 ± 14.2Mean: 23.520 (45)26 (59)10 (24)44 (100)
Jansen et al[8]55 (19:36)55:0Mean: 40 ± 11Mean: 24.910 (18)31 (56)21 (38)-
O’Brien et al[31]77 (46:31)52:21:4Median: 42 (20-80)Median: 24 (16-37)42 (55)---
Pedersen et al[12]178 (86:92)127:51Mean: 42.71 (18-86)-86 (48)63 (35)42 (24)178 (100)
Sumi et al[27]16 (12:4)16:0Responders median: 34 (18-68)Responders median: 21.75 (31)8 (50)-9 (56)
Non-responders median: 31 (23-46)Non-responders Median: 16.8
Takaoka et al[13]40 (30:10)40:0Median: 32.4 (25.3-37.8)Median:19.212 (30)15 (38)30 (75)13 (33)
Thiberge et al[32]149 (68:81)149:0Mean: 41.0 ± 17.5Mean: 22.7 ± 6.1108858685
Zhang T et al[10]114 (75:39)114:0Mean: 32 ± 11.47Median: 13.66---114 (100)
Zhang T et al[11]204 (NR)105:99NR (min 18; max 65)Median: 18.4199 (49)53 (26)25 (12)14 (7)
Zhang W et al[28]138 (86:52)138:0Median: 29 (16-60)Median: 17.913 (9)50 (36)-37 (27)
Table 2 Components and interpretation of nutrition screening tools
NSTNRS-2002[9]MUST[9]NRI[27]MIRT[8]SaskIBD-NR[35]
NST components
Initial screeningBMISerum albuminBMISymptoms (nausea/vomiting/diarrhea/poor appetite > 2 wk)
BMIWeight loss (last 3-6 mo)Present weight/usual weightWeight loss (last 3 mo)Weight loss (last month)
Weight loss (last 6 mo)Acute disease effect3CRPAnorexia
Dietary intake (last week)Food restriction
ICU patient
Final Screening1
Weight loss
Food intake
Disease severity2
NST score indicating risk of malnutrition
0 = Low0 = Low> 97.5 = No RiskScore range = 0-80-2 = Low risk
1 = Mild1 = Medium83.5-97.5 = Moderate0 = Lowest3-4 = Medium risk
2 = Moderate≥ 2 = High< 83.5 = High8 = 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 IntakeBMISMPmHUAC
Weight lossGI symptoms, oral intakeFFMIL3 SMI
Symptoms affecting oral intakeIBD location, severity, concurrent conditionsL4 TPA
Functional capacitySurgical history, medicationsASMI
Metabolic requirementLaboratory parameters (Albumin/Vit D/Iron/Vit B12)SMA
Physical examinationSCAI, HBS
NAT interpretation
A = Well nourishedAt riskSarcopenia:Sarcopenia:
B = Mild/moderately malnourishedNot at riskFFMI:mHUAC: Lowest sex quartile at level of L3 vertebrae
C = Severely malnourishedMen: ≤ 17 kg/m2L3 SMI: Lowest sex quartile, variable between studies (Male: < 42-55 cm2/m2; Female: < 35.6-41 cm2/m2)
Women: ≤ 15 kg/m2L4 TPA: Lowest sex quartile (Male < 56.7 cm2/m2, Female: < 35.6 cm2/m2)
SMP: Continuous variableASMI/SMA: Continuous variable
Table 4 Proportion of nutrition abnormalities via nutrition screening tools
NSTProportion of low risk patient’s n (%)Proportion of mild-moderate risk patient’s n (%)Proportion of high-risk patient’s n (%)Study ID
MUST12 (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]
NRI5 (31.3)11 (68.8)Sumi et al[27]
NRS-20020 (0)24 (33.3)48 (66.7)Bamba et al[9]
13 (32.5)27 (67.5)Takaoka et al[13]
SaskIBD-NRT89 (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
Sarcopenia49 (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 AssessmentProportion 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]
SGAProportion of SGA AProportion of SGA BProportion of SGA CStudy 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
NSTComparative NAT measureStatistical VariableValueStudy ID
MUSTFFMICohen’s Kappa (low/normal FFMI vs low MUST)κ = 0.53 (95%CI: 0.39-0.67)Csontos et al[30]
SMILogistic Regression (MUST 0,1 vs ≥ 2)OR: 0.934, P = 0.014aBamba et al[9]
RD/GI AssessmentCohen’s Kappaκ = 0.15Haskey et al[35]
MIRTSGASpearman’s Rank Correlationρ = 0.394, P = 0.005aJansen et al[8]
NRS-2002SMILogistic Regression (NRS-2002 1, 2 vs ≥ 3)OR: 0.928, P = 0.008aBamba et al[9]
SaskIBD-NRRD/GI AssessmentCohen’s Kappaκ = 0.73Haskey et al[35]
Table 7 Significant nutrition screening tool correlations with clinical outcomes
NSTComparative outcome measureStatistical variableValueStudy ID
MIRTHospitalizationSpearman’s rank correlationρ = 0.398, P = 0.003aJansen et al[8]
Disease flareρ = 0.299, P = 0.030a
Disease complications1ρ = 0.333, P = 0.015a
Need for surgeryρ = 0.371, P = 0.006a
NRIResponse to infliximabFischer’s exact testP = 0.037aSumi et al[27]
NRS-2002Length of stay (< 28 vs ≥ 28 d)Chi-square testP = 0.032aTakaoka et al[13]
Table 8 Significant nutrition assessment tool correlations with clinical outcomes
NATComparative outcome measureStatistical analysisResultStudy ID
SGALength of stay in hospitalChi-square testP = 0.008Takaoka et al[13]
SarcopeniaChange 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 AnalysisP = 0.003Bamba et al[9]
P = 0.003Zhang et al[11]
Need for operationCox-regression (multivariate)HR 0.318 (0.126-0.802), P = 0.015Bamba et al[9]
Need for any rescue therapy (medical/surgical)Fischers exact testP = 0.02Cushing et al[34]
Multivariate logistic regressionOR 3.98 (95%CI 1.12-14.1), P = 0.033
Post-operative complications (Major)1OR 9.24 (95%CI 1.10-77.50). P = 0.04Zhang et al[10]
UC disease activity (Mayo Score ≥ 6)OR 8.49 (95%CI 1.80-40.10), P = 0.007Zhang et al[11]
Post-operative surgical site infectionOR 4.91 (95%CI 1.09-23.50), P = 0.03Fujikawa et al[29]
Need for red blood cell transfusionOR 1.31, P = 0.014Pedersen et al[12]
ICU admissionOR 1.32, P = 0.016
Post-operative sepsisOR 1.325, P = 0.009
Deep vein thrombosisOR 1.265, P = 0.0173
Clavien-Dindo grade 4 complicationOR 1.329, P = 0.0052
ASMIFecal calprotectinSpearman’s Rank Correlationρ = -0.564, P = 0.005Holt et al[36]
L3 SMIUC disease activity (Mayo Score)ρ = -0.523, P ≤ 0.01Zhang et al[11]
SMAρ = -0.445, P ≤ 0.01
SMPPost-operative complications (Overall)2Multivariate logistic regression analysisOR: 0.487 (95%CI 0.307-0.772) P = 0.002aZhang et al[28]
Post-op complications (Major)1OR: 0.588 (95%CI 0.422-0.820) P = 0.002a