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Analysis on Influential Factors for Anti-Infection Efficacy of Fluoroquinolones

Analysis on Influential Factors for Anti-Infection Efficacy of Fluoroquinolones
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摘要 Objective: To investigate factors contributed to anti-infection efficacy of fluoroquinolones (FQNS), and ultimately to provide guidelines for the application of such drugs. Methods: Clinical data of 519 infected patients who were treated with fluoroquinolones were analyzed retrospectively. According to the therapeutic efficacy of the drugs, cases were divided into 3 groups: clinical inefficient, improved and cured. 11 potential factors were investigated. The data were analyzed through logistic regression analysis to determine the main factors which influence therapeutic effects. Results: Ordinal logistic regression revealed that age (OR = 0.979, 95% CI: 0.969, 0.989), a variety of medicine (moxifloxacin-OR = 3.465, 95% CI: 1.396, 8.601;levofloxacin-OR = 4.605, 95% CI: 1.971, 10.760;ciprofloxacin-OR = 3.220, 95% CI: 1.089, 9.552;compared to lomefloxacin) (levofloxacin-OR = 2.591, 95% CI: 1.130, 5.944;compared to fleroxacin) and site of infection (respiratory system-OR = 3.016, 95% CI: 1.737, 5.236;urological system-OR = 4.077, 95% CI: 1.981, 8.391;digestive system-OR = 3.740, 95% CI: 1.849, 7.565) are main factors which influence the efficacy. Conclusion: Fluoroquinolones are more effective in the treatment of bacterial infection within drug’s indications in young population. Variety, dosage and intervals of the drugs should be adjusted according to disease condition. Objective: To investigate factors contributed to anti-infection efficacy of fluoroquinolones (FQNS), and ultimately to provide guidelines for the application of such drugs. Methods: Clinical data of 519 infected patients who were treated with fluoroquinolones were analyzed retrospectively. According to the therapeutic efficacy of the drugs, cases were divided into 3 groups: clinical inefficient, improved and cured. 11 potential factors were investigated. The data were analyzed through logistic regression analysis to determine the main factors which influence therapeutic effects. Results: Ordinal logistic regression revealed that age (OR = 0.979, 95% CI: 0.969, 0.989), a variety of medicine (moxifloxacin-OR = 3.465, 95% CI: 1.396, 8.601;levofloxacin-OR = 4.605, 95% CI: 1.971, 10.760;ciprofloxacin-OR = 3.220, 95% CI: 1.089, 9.552;compared to lomefloxacin) (levofloxacin-OR = 2.591, 95% CI: 1.130, 5.944;compared to fleroxacin) and site of infection (respiratory system-OR = 3.016, 95% CI: 1.737, 5.236;urological system-OR = 4.077, 95% CI: 1.981, 8.391;digestive system-OR = 3.740, 95% CI: 1.849, 7.565) are main factors which influence the efficacy. Conclusion: Fluoroquinolones are more effective in the treatment of bacterial infection within drug’s indications in young population. Variety, dosage and intervals of the drugs should be adjusted according to disease condition.
出处 《Pharmacology & Pharmacy》 2014年第1期129-138,共10页 药理与制药(英文)
关键词 FLUOROQUINOLONES (FQNS) ANTIBIOTICS Influential FACTORS ORDINAL Regression Fluoroquinolones (FQNS) Antibiotics Influential Factors Ordinal Regression
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