著者
大橋 健吾 松岡 知子 篠田 康孝 吉田 真也 新井 かおり 加藤 未紗 森 卓之 吉村 知哲
出版者
公益社団法人 日本薬学会
雑誌
YAKUGAKU ZASSHI (ISSN:00316903)
巻号頁・発行日
vol.137, no.5, pp.643-650, 2017 (Released:2017-05-01)
参考文献数
19
被引用文献数
6

In recent years, hospitals have routinely implemented antimicrobial stewardship (AS) programs, and it is important that these programs are effective. Consequently, we utilized a customized computer system to support infection management and implemented a pharmacist-driven AS program in our hospital. Using this computer system, a pharmacist monitored the daily usage of carbapenems and agents against anti-methicillin-resistant Staphylococcus aureus and generated a patient database. With the use of this computer system, we found that the patient database entry time significantly decreased from 24 to 12 min (p<0.01). Subsequently, we were also able to monitor tazobactam/piperacillin usage owing to the increased efficiency of our AS program. As a result, the average number of monitored patients significantly increased from 51 to 72 per month (p<0.01) and the number of proposed prescriptions increased from 189 to 238 per year. Additionally, the usage of carbapenems and tazobactam/piperacillin significantly decreased (p<0.01) after implementation of this computer support system. In summary, we recommend that pharmacists utilize computer systems to implement AS programs because they increase the efficiency of interventions and monitoring of patients and promote appropriate antibiotic use.
著者
篠田 梨恵 篠田 康孝 森 卓之 吉村 知哲
出版者
公益社団法人 日本薬学会
雑誌
YAKUGAKU ZASSHI (ISSN:00316903)
巻号頁・発行日
vol.141, no.2, pp.281-288, 2021-02-01 (Released:2021-02-01)
参考文献数
24

Tolvaptan (TLV) carries the risk of serious side effects, and its introduction requires hospitalization. Therefore, it is important from the viewpoints of safety and medical economics to predict in advance, the patients for whom it will be effective and introduce it. The purpose of this study was to investigate the noninvasive and simple predictors for identifying TLV responders. We conducted a retrospective observational study of patients with heart failure who had TLV introduced at our hospital from January 1, 2017, to December 31, 2018. By using the body weight and BNP reduction as the effect indices, predictors of body weight and BNP reduction were extracted by logistic analysis. The sensitivity and specificity at the cutoff value obtained by ROC analysis were also examined. Among 85 subjects, urine sodium concentration >63 mEq/L [odds ratio (OR): 6.11, 95% confidence interval (CI): 1.36-27.4] was detected as a predictor of body weight reduction. The sensitivity at this cutoff value was 81%, and the specificity was 70%. Serum osmolarity>291 mOsm/L (OR: 3.76, 95% CI: 1.00-14.2), urine potassium concentration<21 mEq/L (OR: 4.45, 95% CI: 1.09-18.2), and urine sodium concentration>71 mEq/L (OR: 7.38, 95% CI: 2.05-26.6) were detected as predictors of BNP reduction. The sensitivities were 62%, 53%, and 73%, and the specificities were 58%, 68%, and 68%, respectively. Therefore, it was suggested that urine sodium concentration may be useful as a predictor of body weight and BNP decrease after TLV induction.