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OBJECTIVE: This study aims to evaluate the effectiveness of the Quality Risk Management (QRM) system in hospital pharmacy intravenous admixture services (PIVAS). METHODS: Failure Modes and Effects Analysis (FMEA) and risk matrix methods were used to systematically assess the critical risk points in PIVAS. By collecting and comparing relevant data from 2019 to 2023, key performance indicators (KPIs) before and after the implementation of the QRM system were quantitatively evaluated. RESULTS: The results showed that the safety and efficiency of pharmacy services significantly improved after the implementation of the QRM system. The medication error rate significantly decreased from 3.2% to 1.1%, the average medication preparation time reduced from 15.5 min to 8.2 min, and staff satisfaction increased from 6.0 to 8.5 points. Other indicators, such as cross-contamination rates and handling errors, also showed significant improvement (all outcomes p < 0.001). DISCUSSION: Systematic risk management effectively enhanced the operational performance of PIVAS, reduced medication errors, and improved the quality of healthcare services. This study highlights the key role of QRM in enhancing medication safety and productivity, providing empirical support for the implementation of similar systems in other healthcare institutions.
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Rapamycin, an established mTOR inhibitor in clinical practice, is widely recognized for its therapeutic efficacy. Ridaforolimus, a non-prodrug rapalog, offers improved aqueous solubility, stability, and affinity compared to rapamycin. In recent years, there has been a surge in clinical trials involving ridaforolimus. We searched PubMed for ridaforolimus over the past decade and selected clinical trials of ridaforolimus to make a summary of the research progress of ridaforolimus in clinical trials. The majority of these trials explored the application of ridaforolimus in treating various tumors, including endometrial cancer, ovarian cancer, prostate cancer, breast cancer, renal cell carcinoma, and other solid tumors. These trials employed diverse drug combinations, incorporating agents such as ponatinib, bicalutamide, dalotuzumab, MK-2206, MK-0752, and taxanes. The outcomes of these trials unveiled the diverse potential applications of ridaforolimus in disease treatment. Our review encompassed analyses of signaling pathways, ridaforolimus as a single therapeutic agent, its compatibility in combination with other drugs, and an assessment of adverse events (AEs). We conclude by recommending further research to advance our understanding of ridaforolimus's clinical applications.
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SUBJECT: To investigate the correlation between mean platelet volume (MPV) levels and Gensini scores in stable coronary heart disease (CHD) patients with or without diabetes. METHODS: A retrospective analysis was conducted on 2525 patients with stable CHD in Zhongshan Hospital, Fudan University. There were 1274 in the low MPV group and 1251 in the high MPV group, divided by a median MPV level of 10.9 fL. In the total population, 1605 patients were non-diabetic and 920 were diabetic. The severity of coronary artery disease was quantified using the Gensini score. RESULTS: The Gensini score was significantly higher in the high MPV group than in the low MPV group (p < 0.001). MPV levels increased significantly with the number of stenotic (>50%) coronary vessels (p < 0.001). The Spearman analysis showed a positive correlation between MPV and Gensini score (r = 0.189, p < 0.001), which was more significant in the diabetic subgroup (r = 0.232, p < 0.001). Receiver operating characteristic (ROC) curves were employed to assess the predictive value of MPV for high Gensini scores, using the median value of 32 points as the cutoff. MPV levels in the diabetes cohort exhibited a higher predictive value for high Gensini scores (area under the curve: 0.635 [0.614-0.657], p < 0.001). Multivariate linear regression analysis showed that diabetes and MPV were independently associated with Gensini scores. CONCLUSION: MPV levels in stable CHD patients can predict the severity of coronary artery stenosis. This correlation is more significant in the presence of diabetes.