Background: We aimed to investigate the clinical value of detecting 14 food intolerances. Methods: A total of 312 patients with food intolerance enrolled in the Third Affiliated Hospital of Qiqihar Medical University (Qiqihar, China) from Feb 2016 to Feb 2017 were selected. ELISA was used to detect intol-erance specific IgG antibodies for 14 foods (pork, chicken, beef, shrimp, fish, crab, egg white/yolk, tomato, mushroom, milk, corn, rice, soybean, wheat). Results: The highest average positive rate of the patients was 42. 31% for the crab, followed by shrimp 21. 15%, egg white/yolk 18. 27% and milk 16. 99%. The positive rate from high to low was crab, shrimp, egg white/yolk, milk, fish, corn, soybeans, tomatoes, rice, mushrooms, wheat, pork, beef, chicken. There were significant differ-ences in the specific IgG antibody positive rates between shrimp, soybean and wheat in the skin symptoms group, gastrointestinal symptoms group, respiratory symptom group and nervous system symptom group (P<0. 05). There was a significant difference in the positive rate of specific IgG antibodies between shrimp, crab and egg white/yolk in the adolescent group, the middle-aged group and the elderly group (P<0. 05). Conclusion: The detection of food-specific IgG antibodies can help to determine which food intolerance caused the disease, and then adopt a fasting or diet method to avoid eating unsuitable foods and continually damaging the body, thus maintaining good health. The detection method provides a new idea for the diagnosis and prevention of diseases.

The result showed the maximum resistance for imipenem (100%), meropenem (100%), cefotaxime (98.6%), and ceftazidime (98.6%), and minimum resistance for tetracycline (65.7%) and gentamicin (68.6%). The MCBT test for meropenem-gentamicin-tetracycline antibiotics demonstrated 65.6% and 6.3% of MDR Acinetobacter baumannii strains killed at high and low concentrations of antibiotics, respectively (P=0.04). Besides, 34.4% and 93.8% of MDR Acinetobacter baumannii strains lived at high and low concentrations of meropenem-gentamicin-tetracycline antibiotics, respectively, which were statistically significant (P=0.04). There was a significant relationship between the MIC of gentamicin-meropenem in the combination (Checkerboard) (P=0.0001). Antibiotic interaction effects frequencies were 6.3%, 53.1%, and 40.6% for synergy, incremental, and indifference, respectively. In this study, a significant difference was shown between the FICIs of meropenem (0.68±0.27) and gentamicin (0.003±0.003) (P=0.0001). Also, there was a significant correlation between the FICI factor and the antibiotic's antimicrobial interaction by MCBT (r=0.95, P=0.0001).Conclusion: It seems that the combination of meropenem-gentamicin-tetracycline antibiotics had additive antibacterial effects and could be used to suppress MDR Acinetobacter baumannii isolated.