Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complications and potential negative consequences, are a major and serious problem in medicine. Standardized hospital interventions, protocols, or guidelines were implemented to reduce the errors but were not found to be highly effective. Machine learning driven clinical decision support systems (CDSS) show a potential solution to address this problem. We developed a HAD screening protocol with a machine learning model using Gradient Boosting Classifier and screening parameters to identify the events of HAD prescription errors from the drug prescriptions of out and inpatients at Maharaj Nakhon Chiang Mai hospital in 2018. The machine learning algorithm was able to screen drug prescription events with a risk of HAD inappropriate use and identify over 98% of actual HAD mismatches in the test set and 99% in the evaluation set. This study demonstrates that machine learning plays an important role and has potential benefit to screen and reduce errors in HAD prescriptions.
Beta-lactam (BL) antibiotics are among the drugs commonly related to hypersensitivity reactions. Several candidate gene studies and genome-wide association studies have reported associations of genetic variants and hypersensitivity reactions induced by BL antibiotics. However, the results were inconclusive. This protocol details a comprehensive systematic review of genetic factors associated with BL-induced hypersensitivity. A systematic search of literature related to genetic associations of BL-induced hypersensitivity will be performed through PubMed, Medline, Scopus, EMBASE, Web of Science, CINAHL, and the Cochrane central register of Controlled Trials (CENTRAL) from their inception dates with no language restrictions. Two reviewers will independently screen, extract, and appraise the risk of bias. Frequencies of genetic variants that comply with Hardy–Weinberg equilibrium will be extracted and pooled. Genetic models will be applied to variant effect calculation as per allele and genotype analysis. Based on statistical heterogeneity among studies, common effect estimation (odds ratio) and its corresponding 95% confidence interval will be analyzed. Sensitivity and subgroup analyses will be performed to determine the robustness of eligible studies. This systematic review and meta-analysis will provide comprehensive evidence of genetic effects regarding BL-induced hypersensitivity. The findings will enlighten the determination of disease-related genotypes that would potentially reveal allergy profiling in patients.
Objective: This study aimed to determine the association between the severity of inflammation at each anatomical sexual activity from gram staining with Neisseria gonorrhoeae (NG) and Chlamydia trachomatis (CT) infections.
Materials & Methods: This study was conducted using laboratory test data from patients at the Bangrak Sexually Transmitted Infections Center. The data obtained consisted of gram staining, which was divided by the number of polymorphonuclear leukocytes (PMNL), NG culture, and Nucleic Acid Amplification Test (NAAT) for NG and CT results.
Results: For the diagnostic association between PMNL and NG infection, the results revealed that samples with urethral PMNL 3+ or 4+ carried a significant likelihood ratio (LR) for positive infection, LR 5.61 (P<0.001) and LR 59.66 (P<0.001), respectively. Cervical, rectal, and pharyngeal PMNL was not related to infection. For CT infection, urethral gram stains with PMNL levels were greater than or equal to 2+ and cervical specimens with PMNL 4+ were associated with CT infection. Rectal and pharyngeal PMNL showed no significant association with CT infection.
Conclusion: Determination of PMNL levels from gram staining contributes to the diagnosis of patients with NG and CT in the urethra, particularly for patients with a high degree of inflammation.
Objective
This study aimed to conduct a randomized placebo-controlled trials to examine the clinical efficacy of prophylactic metoclopramide in reducing the incidence of nausea and vomiting in ED patients with acute pain and were treated with intravenous tramadol.
Results
The study protocol was registered in Thai Clinical Trials Registry (TCTR) [TCTR20220525001] in 21 October 2021. The Institutional Review Board of Lampang Hospital approved the study protocol (CERT NO. 103/64). A total of 99 ED patients presented with acute pain were recruited. Sixty-four patients were randomized, 31 patients in the treatment arm and 33 in the control arm. Overall, there were no significant differences in baseline characteristics between treatment arm and control arm. Only one patient within each arms reported having nausea symptoms. No patients reported vomiting episode. There was no statistically significant difference in the proportion of patients with nausea or vomiting symptoms between the two groups (3.1% in the treatment arm vs. 3.2% in the control arm, p = 1.000). The administration of prophylactic metoclopramide may not provide additional benefit in reducing the occurrence of nausea and/or vomiting episode in ED patients with acute pain treated with intravenous tramadol.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.