Study on the use of antimicrobial agents in hospitalized trauma patients based on medical big data

SUN Guoquan; SHU Lixin; WANG Xiaojuan; CHEN Shengxin; YANG Zhangwei; LI Jiewei

doi:10.3969/j.issn.1006-0111.2017.05.021

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Objective To investigate the relationship between the trauma severity and the usage of antibacterial drugs and to provide reference for standard protocol of proper antibiotic use in wound care. Methods ICD-10 and AIS were used to set up the relationship and to analyze the use of antibiotics in patients with different trauma score. Results 25 035 trauma patients were enrolled in this study. Those patients were divided into five groups according to the AIS score with least severe as group 1 to most severe as group 5. The patient percentage in group 1 to 5 was 21.92%,67.73%,8.86%,0.97% and 0.52% respectively. The five most frequently used antibiotic classes are second generation cephalosporins,third generation cephalosporins,first generation cephalosporins,fluoroquinolones and penicillin/beta lactamase inhibitor combination, accounted for 29.69%,22.57%,20.33%,4.66% and 4.47% of total DDDs of antibacterial drugs. Individually, the top 10 antibiotics are cefuroxime (12.21%), cefazolin (8.31%), ceftriaxone (7.74%), cefathiamidine (7.34%), cefotiam (4.87%), ceftazidime (3.68%), amoxicillin/clavulanic acid (3.63%), levofloxacin (3.59%), cefoxitin (3.56%), flucloxacillin (3.52%); gentamicin (2.27%), ornidazole (2.00%) and cefoperazone/tazobactam (1.44%) were used most in their categories respectively. The variety and quantity of antibacterial drugs used for different trauma patients were different. Conclusion The trauma score based on ICD-AIS can reflect the severity of trauma. The use of antibiotics in patients with different trauma score can provide reference for the clinical applications of antibiotics in wound care.

Study on the use of antimicrobial agents in hospitalized trauma patients based on medical big data

1. Institute of Drug and Instrument Control in Xinjiang Military Command of PLA, Urumqi 830069, China

2. Department of Pharmacy Administration, School of Pharmacy, Second Military Medical University, Shanghai 200433, China

3. Department of Pharmacy, Changhai Hospital affiliated to Second Military Medical University, Shanghai 200433, China

Received Date: 2015-12-08

Rev Recd Date: 2017-08-07

Key words:

Abstract: Objective To investigate the relationship between the trauma severity and the usage of antibacterial drugs and to provide reference for standard protocol of proper antibiotic use in wound care. Methods ICD-10 and AIS were used to set up the relationship and to analyze the use of antibiotics in patients with different trauma score. Results 25 035 trauma patients were enrolled in this study. Those patients were divided into five groups according to the AIS score with least severe as group 1 to most severe as group 5. The patient percentage in group 1 to 5 was 21.92%,67.73%,8.86%,0.97% and 0.52% respectively. The five most frequently used antibiotic classes are second generation cephalosporins,third generation cephalosporins,first generation cephalosporins,fluoroquinolones and penicillin/beta lactamase inhibitor combination, accounted for 29.69%,22.57%,20.33%,4.66% and 4.47% of total DDDs of antibacterial drugs. Individually, the top 10 antibiotics are cefuroxime (12.21%), cefazolin (8.31%), ceftriaxone (7.74%), cefathiamidine (7.34%), cefotiam (4.87%), ceftazidime (3.68%), amoxicillin/clavulanic acid (3.63%), levofloxacin (3.59%), cefoxitin (3.56%), flucloxacillin (3.52%); gentamicin (2.27%), ornidazole (2.00%) and cefoperazone/tazobactam (1.44%) were used most in their categories respectively. The variety and quantity of antibacterial drugs used for different trauma patients were different. Conclusion The trauma score based on ICD-AIS can reflect the severity of trauma. The use of antibiotics in patients with different trauma score can provide reference for the clinical applications of antibiotics in wound care.

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Reference (12)

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Study on the use of antimicrobial agents in hospitalized trauma patients based on medical big data

doi: 10.3969/j.issn.1006-0111.2017.05.021

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