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Feeding Intolerance in Critically Ill Patients with Enteral Nutrition: A Meta-Analysis and Systematic Review


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Fig. 1.

The flow chart of study selection
The flow chart of study selection

Egger’s test results for detecting publication bias of included studies

Factors Egger’s test
t P
Age < 2 years old 1.88 0.209
Age > 60 years old 2.47 0.113
APACHE II score ≥ 20 1.14 0.265
Hyperglycemia −1.32 0.179
Hypokalemia 5.30 0.013
Hypoproteinemia −0.56 0.612
Starting time of enteral nutrition > 72 hours −1.88 0.312
No dietary fiber 1.89 0.131
Intra-abdominal pressure > 15mmhg 1.18 0.965
Central venous pressure > 10cmh2o 3.54 0.971
Mechanical ventilation 2.08 0.331
Use of sedatives −0.22 0.832
Use of vasoactive drugs −0.14 0.910
Use of acidogenic agents 10.58 0.060
Blood purification −0.16 0.572

The characteristics of included studies

Study Design Sample size Case/control Incidence of feeding intolerance Influencing factors
Bejarano 2012 Cohort study 82 21/51 29.17% 2, 6, 12
Chen 2017 Case control study 92 54/38 58.69% 2, 4, 6, 7, 8, 9, 11, 12, 13
Cai 2018 Case control study 373 155/218 41.55% 1, 3, 7, 8, 10, 12, 13, 14
Sun 2018 Case control study 295 121/174 41.02% 3, 6, 9, 10, 12, 15, 16
Liu 2018 Case control study 86 52/34 60.47% 3, 4, 5, 7, 10, 13
Jin 2018 Case control study 243 84/159 34.57% 1, 3, 6, 7, 8, 9, 10, 11, 12, 13, 15
Wang 2019 Case control study 118 49/69 41.53% 3, 4, 5, 9, 11
Zhou 2019 Case control study 84 33/51 39.29% 3, 4, 6, 9, 11, 13, 16
Liu 2020 Case control study 200 115/85 57.50% 1, 7, 9, 10
Deng 2020 Case control study 120 68/52 56.67% 3, 12, 13
Zhai 2020 Case control study 91 49/42 53.85% 3, 4, 5, 6, 9, 10, 12, 13, 14
Li 2019 Case control study 568 184/384 32.39% 3, 6, 16
Mentec 2001 Cohort study 153 59/94 38.56% 3, 4, 5, 13, 15
Gungabissoon 2014 Cohort study 1888 576/1312 30.51% 4, 6, 9
Li 2021 Case control study 70 29/41 41.43% 1, 4, 5, 6, 10
Geng 2022 Case control study 884 352/532 39.82% 1, 6, 7, 9, 12
Zhang 2022 Cohort study 83 36/47 43.37% 2, 4, 5, 8, 10, 13
Zheng 2021 Case control study 134 56/78 41.79% 2, 5, 7, 9

The meta-analysis on the risk factors of feeding intolerance in critically ill patients undergoing enteral nutrition

Factors Number of synthesized studies Heterogeneity Model Synthesized effects
I2(%) P OR 95%CI P
Age < 2 years old 2 16 0.44 Fixed 1.84 1.32~2.05 0.015
Age > 60 years old 4 0 0.75 Fixed 2.04 1.45~2.61 0.007
APACHE II score ≥ 20 6 11 0.18 Fixed 3.18 2.95~3.89 0.033
Hyperglycemia 4 59 0.03 Random 1.70 0.88~2.46 0.069
Hypokalemia 5 47 0.11 Fixed 1.59 1.24~2.03 <0.001
Hypoproteinemia 5 89 <0.01 Random 0.70 0.26~1.90 0.486
Starting time of enteral nutrition > 72 hours 3 0 0.87 Fixed 2.24 1.49~3.36 <0.001
No dietary fiber 8 68 0.01 Random 3.72 2.23~6.19 <0.001
Intra-abdominal pressure > 15mmhg 7 0 0.51 Fixed 2.95 2.10~3.85 <0.001
Central venous pressure > 10cmh2o 4 45 0.15 Fixed 1.96 1.47~2.62 <0.001
Mechanical ventilation 9 44 0.23 Fixed 1.37 1.19~1.89 0.012
Use of sedatives 7 74 <0.01 Random 1.19 0.93~1.53 0.161
Use of vasoactive drugs 3 89 <0.01 Random 0.95 0.56~1.61 0.854
Use of acidogenic agents 3 0 0.41 Fixed 0.84 0.52~1.38 0.506
Blood purification 4 97 <0.01 Random 1.41 0.86~2.30 0.171

The NOS score of included studies

Study Patient selection Comparability Exposure assessment NOS total score
Bejarano 2012 3 2 2 7
Chen 2017 3 2 2 7
Cai 2018 3 2 2 7
Sun 2018 3 2 3 8
Liu 2018 3 2 2 7
Jin 2018 3 2 2 7
Wang 2019 3 2 3 8
Zhou 2019 3 2 2 7
Liu 2020 3 2 2 7
Deng 2020 3 1 3 7
Zhai 2020 3 2 2 7
Li 2019 3 2 3 8
Mentec 2001 3 2 2 7
Gungabissoon 2014 3 2 2 7
Li 2021 3 2 3 8
Geng 2022 3 2 3 8
Zhang 2022 3 2 3 8
Zheng 2021 3 2 2 7
eISSN:
2393-1817
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Medicine, Clinical Medicine, Internal Medicine, other, Surgery, Anaesthesiology, Emergency Medicine and Intensive-Care Medicine