目的:探讨经肘正中静脉行临时心脏起搏器安置术的有效性及安全性。方法:本研究纳入2020年8月—2024年4月期间在宜都市中医医院行临时心脏起搏安置术的49例患者,根据静脉入路随机分为对照组(n=25)和观察组(n=24)。对照组采用传统路径(即...目的:探讨经肘正中静脉行临时心脏起搏器安置术的有效性及安全性。方法:本研究纳入2020年8月—2024年4月期间在宜都市中医医院行临时心脏起搏安置术的49例患者,根据静脉入路随机分为对照组(n=25)和观察组(n=24)。对照组采用传统路径(即经股静脉置入),观察组采用经肘正中静脉路径。比较两组患者临床疗效。结果:与对照组相比,观察组患者穿刺置管用时[(1.67±2.24) min vs (4.87±1.28) min]及放射量[(13.07±3.92) mGy vs (15.63±4.65) mGy]均显著降低,舒适状况量表(GCQ)评分[(66.04±3.12)分vs (52.23±4.56)分]明显升高,两组患者术后并发症发生率无明显差异(均P>`0.05)。结论:经肘正中静脉路径行临时心脏起搏器置入术安全有效,值得临床推广应用。展开更多
The training set of a universal near infrared (NIR) model for quantitative analysis of a drug should cover as many samples of this drug in the market as possible. Inevitably the model may fail for new products that ha...The training set of a universal near infrared (NIR) model for quantitative analysis of a drug should cover as many samples of this drug in the market as possible. Inevitably the model may fail for new products that have different excipients and production processes. In such circumstances the model should be updated. We here propose a new strategy to iteratively update a universal NIR quantitative model for azithromycin. We prove that universal quantitative models generated from this new strategy are comparably effective for azithromycin injection powders and azithromycin tablets, compared to the strategy using hierarchical clustering method which we reported previously. Furthermore, we establish the correlation coefficient r between a new sample and the training set samples can be used to decide whether or not the model should be updated.展开更多
文摘目的:探讨经肘正中静脉行临时心脏起搏器安置术的有效性及安全性。方法:本研究纳入2020年8月—2024年4月期间在宜都市中医医院行临时心脏起搏安置术的49例患者,根据静脉入路随机分为对照组(n=25)和观察组(n=24)。对照组采用传统路径(即经股静脉置入),观察组采用经肘正中静脉路径。比较两组患者临床疗效。结果:与对照组相比,观察组患者穿刺置管用时[(1.67±2.24) min vs (4.87±1.28) min]及放射量[(13.07±3.92) mGy vs (15.63±4.65) mGy]均显著降低,舒适状况量表(GCQ)评分[(66.04±3.12)分vs (52.23±4.56)分]明显升高,两组患者术后并发症发生率无明显差异(均P>`0.05)。结论:经肘正中静脉路径行临时心脏起搏器置入术安全有效,值得临床推广应用。
文摘The training set of a universal near infrared (NIR) model for quantitative analysis of a drug should cover as many samples of this drug in the market as possible. Inevitably the model may fail for new products that have different excipients and production processes. In such circumstances the model should be updated. We here propose a new strategy to iteratively update a universal NIR quantitative model for azithromycin. We prove that universal quantitative models generated from this new strategy are comparably effective for azithromycin injection powders and azithromycin tablets, compared to the strategy using hierarchical clustering method which we reported previously. Furthermore, we establish the correlation coefficient r between a new sample and the training set samples can be used to decide whether or not the model should be updated.
