Bansal Dipika, Mangla S, Undela K, Gudala K, D'Cruz S, Sachdev A, Tiwari P
Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, S.A.S. Nagar (Mohali)-160 062, India.
Department of Pharmacy Practice, J.S.S. College of Pharmacy, J.S.S. University, S.S. Nagara, Mysore-570 015, India.
Indian J Pharm Sci. 2014 May;76(3):211-7.
Widespread overuse and inappropriate use of antimicrobial drugs continues to fuel an increase in antimicrobial resistance and leads to consequent treatment complications and increased healthcare costs. In the present study we aimed to describe antimicrobial drug consumption and predictors and to identify potential targets for antimicrobial stewardship. This was a prospective observational study conducted at adult medicine wards of tertiary care teaching hospital over the period of five months. Antimicrobial drug consumption was measured using days of therapy per 1000 patient days and defined daily dose per 1000 patient days. Additionally, predictors of multiple antimicrobial prescribing were also analyzed. Seven hundred thirty patients were screened and 550 enrolled, receiving 1,512 courses of antimicrobial therapy, mainly intravenously (66%). Most frequently prescribed agents were artesunate (13%), ceftriaxone (11%) and metronidazole (10.5%). Overall consumption was 1,533 days of therapy per 1000 patient days and was mainly attributed to antibiotics (98.3%) for empirical therapy (50%). Median days of antimicrobial drugs prescribing were 3 (inter quartile range 2-5). Most commonly consumed antimicrobials were ceftriaxone (31%, 248.8 g) and artesunate (26%, 29 g). Antimicrobials contributed to 72.5% expense of the total incurred. Multivariate analysis reveals that younger patients (≥45 years) (odds ratio: 1.59, 95% CI 1.14-2.21) were more likely and absence of comorbidities (odds ratio: 0.58, 95% CI 0.42-0.79) and shorter hospital stay (≥6 days)(odds ratio: 0.44, 95% CI 0.32-0.60) were associated with less likelihood of prescribing multiple antimicrobial drugs. Estimating antimicrobial drugs use by defined daily dose method will remain open to criticism because the prescribed dosage is not often in agreement with the "usual" daily dose, which depends on location of and susceptibility of pathogenic organisms and metabolic status of the patient.
抗菌药物的广泛过度使用和不当使用持续助长了抗菌药物耐药性的增加,并导致相应的治疗并发症和医疗成本上升。在本研究中,我们旨在描述抗菌药物的消费情况及预测因素,并确定抗菌药物管理的潜在目标。这是一项在一家三级护理教学医院的成人内科病房进行的为期五个月的前瞻性观察研究。抗菌药物消费情况通过每1000个患者日的治疗天数和每1000个患者日的限定日剂量来衡量。此外,还分析了多种抗菌药物处方的预测因素。共筛查了730名患者,其中550名入组,接受了1512个疗程的抗菌治疗,主要为静脉用药(66%)。最常处方的药物是青蒿琥酯(13%)、头孢曲松(11%)和甲硝唑(10.5%)。总体消费为每千患者日1533个治疗天数,主要归因于用于经验性治疗(50%)的抗生素(98.3%)。抗菌药物处方的中位天数为3天(四分位间距为2 - 5天)。最常使用的抗菌药物是头孢曲松(31%,248.8克)和青蒿琥酯(26%,29克)。抗菌药物占总费用的72.5%。多变量分析显示,年龄较大的患者(≥45岁)(比值比:1.59,95%置信区间1.14 - 2.21)更有可能,而无合并症(比值比:0.58,95%置信区间0.42 - 0.79)和住院时间较短(≥6天)(比值比:0.44,95%置信区间0.32 - 0.60)与开具多种抗菌药物的可能性较小相关。用限定日剂量法估算抗菌药物使用情况仍会受到批评,因为规定剂量往往与“常用”日剂量不一致,这取决于致病生物体的位置和易感性以及患者的代谢状况。