Chronic heart failure (CHF) is a common complication and cause of death in dialysis patients. Although several clinical guidelines and expert consensus on heart failure (HF) in the general population have been issued in China and abroad, due to abnormal renal function or even no residual renal function (RRF) in dialysis patients, the high number of chronic complications, as well as the specificity, variability, and limitations of hemodialysis (HD) and peritoneal dialysis (PD) treatments, there are significant differences between dialysis patients and the general population in terms of the treatment and management of HF. The current studies are not relevant to all dialysis-combined HF populations, and there is an urgent need for high-quality studies on managing HF in dialysis patients to guide and standardize treatment. After reviewing the existing guidelines and literature, we focused on the staging and diagnosis of HF, management of risk factors, pharmacotherapy, and dialysis treatment in patients on dialysis. Based on evidence-based medicine and clinical trial data, this report reflects new perspectives and future trends in the diagnosis and treatment of HF in dialysis patients, which will further enhance the clinicians\' understanding of HF in dialysis patients.

We conducted a multicenter survey of emergency room nurses to obtain information that would be useful for the establishment of pharmacist services in emergency rooms. Notably, 199 valid responses were obtained from 12 hospitals. The most common expectation from pharmacists in the emergency room was \"drug management\" (70.9%), followed by \"providing information to physicians regarding the patient\'s medication history\" (59.3%), and \"auditing of dosage and interaction\" (57.3%). The working arrangements that the survey respondents wanted regarding pharmacists in emergency rooms were: 24 h pharmacist (41.7% wanted this arrangement), day-shift pharmacist (24.6% wanted this arrangement), 24 h on-call (17.1% wanted this arrangement), day-shift on-call (5.0% wanted this arrangement), telephone support (11.1% wanted this arrangement), and 0.5% said that there was no need for pharmacists. In the analysis of factors affecting nurse satisfaction, day-shift pharmacist was a significant factor. We hope that the results of this survey will be used as a guide for the development of emergency room pharmacist services tailored to the unique characteristics and actual working conditions of each hospital.

BACKGROUND: In alignment with China\'s national directive for improved drug management in anesthesiology, the Affiliated Hospital of Qingdao University initiated a quality improvement project, aiming to tackle the prevailing challenges of inefficiencies in drug administration, escalating drug costs, and the notable communication gap between pharmacists and anesthesiologists.
METHODS: We employed a Plan-Do-Study-Act methodology to establish a pharmacy team and execute a multidimensional pharmaceutical intervention. The interventions included the formulation of standard procedures, guidelines and regulations, assistance from an information system (including automatic dispensing cabinets and prospective prescription review system), communication feedback (via WeChat groups), and education for anesthesiology staff. The intervention spanned from April to September 2023, focusing on optimizing medication management, achieving cost savings, and enhancing the satisfaction of anesthesia team members, with an additional observation from October to December 2023.
RESULTS: Following the interventions, improvements were observed in drug management practices. These enhancements included increased compliance with accounting procedures, more rigorous registration of controlled substances, and more effective disposal of liquid residues. There was no adverse events related to high-alert medications or look-alike drug usage errors. The introduction of automatic dispensing cabinets and a prospective prescription review system markedly improved work efficiency. The utilization of a WeChat group facilitated effective communication about unreasonable prescriptions and drug-related issues. Among the 29,061 patients who underwent surgery both before and after the interventions, significant reductions were observed both in the drug proportion and the per capita drug costs (P = 0.03, P = 0.014, respectively). The per capita drug cost decreased by 20.82%, from ¥723.43 to ¥572.78, consistently remaining below ¥600 throughout the 9-month observation period. The per capita cost of monitoring drugs including dezocine, butorphanol, haemocoagulase agkistrodon, penehyclidine, and ulinastatin experienced a significant reduction (P < 0.05). Additionally, in the satisfaction questionnaires returned, a remarkable 94.44% of anesthesiology staff expressed high satisfaction with the comprehensive pharmaceutical interventions.
CONCLUSIONS: The quality improvement project has yielded remarkable positive outcomes, serving as a model worthy of reference and replication in similar healthcare settings.

Unintentional medication discrepancies at admission are differences between the best possible medication history and the prescribed treatment at admission, and are associated with adverse outcomes, particularly in older people. This study aimed to identify the clinical profiles of geriatric inpatients with unintentional medication discrepancies at hospital admission. A classification tree Chi-square Automatic Interaction Detector (CHAID) analysis was conducted to assess those patients\' profiles and characteristics that were associated with a higher risk of unintentional medication discrepancies. One-hundred and thirty consecutive older patients admitted to acute care (87 ± 5 years old; 61.8% women) were assessed. The CHAID analysis retrieved 5 clinical profiles of older inpatients with a risk of up to 94.4% for unintentional medication discrepancies. These profiles were determined based on combinations of three characteristics: use of eye drops, frequent falls (≥ 1/year), and admission due to urgent hospitalization. These easily measurable clinical characteristics may be helpful as a supportive measure to improve pharmacological care.

UNASSIGNED: Biological sex-related factors influence pharmacokinetic, pharmacodynamic, and disease processes that may affect the predictability of drug dosing and adverse effects, which may in turn have clinical consequences for patients\' lives. Nonetheless, sex-related factors are not always taken into account in clinical trial design or clinical decision-making, for multiple reasons, including a paucity of studies that clearly and objectively study and measure sex-disaggregated and sex-related outcomes, as well as gaps in regulatory and policy structures for integrating these considerations.
UNASSIGNED: To complete a narrative review and use a case study to understand available evidence, inform future research, and provide policy considerations that incorporate information on sex- and gender-related factors into clinician-facing resources.
UNASSIGNED: A comprehensive review of available literature was conducted using a sex- and gender-based analysis plus (SGBA Plus) approach to identify sex- and/or gender-disaggregated information for gilteritinib, a chemotherapeutic agent. Systematic searches were performed in MEDLINE (Ovid), Embase (Ovid), CENTRAL (Wiley), International Pharmaceutical Abstracts (Ovid), Scopus, and ClinicalTrials.gov, from inception to March 18, 2021. The information was then summarized and compared with the Canadian product monograph for this drug.
UNASSIGNED: Of 311 records screened, 3 provided SGBA Plus information as a component of outcomes, rather than just as categories or demographic characteristics. Of these, 2 were case studies, and 1 was a clinical trial. No studies from the ClinicalTrials.gov database that were in progress at the time of this review provided details about sex-disaggregated outcomes. The Canadian product monograph did not include sex-disaggregated outcome data.
UNASSIGNED: The available evidence from clinical trials, other published literature, and guidance documents does not provide details about sex-disaggregated outcomes for gilteritinib. This paucity of available evidence may create a challenge for clinicians who are making decisions about the efficacy and safety of prescribed therapies in sex-specific populations that have not been well studied.
UNASSIGNED: Les facteurs liés au sexe biologique influencent les processus pharmacocinétiques, pharmacodynamiques et pathologiques, qui peuvent avoir une incidence sur la prévisibilité du dosage des médicaments et des effets indésirables. Ceci peut à son tour avoir des conséquences cliniques sur la vie des patients. Néanmoins, les facteurs liés au sexe ne sont pas toujours pris en compte dans la conception des essais cliniques ou la prise de décision clinique, et cela pour de nombreuses raisons – notamment le manque d’études qui examinent et mesurent clairement et objectivement les résultats ventilés par sexe et liés au sexe ainsi que les lacunes dans les réglementations et structures politiques pour intégrer ces considérations.
UNASSIGNED: Mener un examen narratif et utiliser une étude de cas pour comprendre les preuves disponibles, éclairer les recherches futures et fournir des considérations politiques qui intègrent des informations sur les facteurs liés au sexe et au genre dans les ressources destinées aux cliniciens.
UNASSIGNED: Une revue complète de la littérature disponible a été réalisée à l’aide d’une analyse comparative fondée sur le sexe et le genre Plus (ACSG Plus) pour identifier les informations ventilées par sexe et/ou par genre pour le giltéritinib, un agent chimiothérapeutique. Des recherches systématiques ont été effectuées dans MEDLINE (Ovid), Embase (Ovid), CENTRAL (Wiley), International Pharmaceutical Abstracts (Ovid), Scopus et ClinicalTrials.gov, depuis la création de chaque base de données jusqu’au 18 mars 2021. Ces informations ont ensuite été résumées et comparées avec la monographie canadienne de produit pharmaceutique pour ce médicament.
UNASSIGNED: Sur les 311 documents examinés, 3 ont fourni des informations ACSG Plus en tant que composante des résultats, plutôt que simplement en tant que catégories ou caractéristiques démographiques. Parmi ceux-ci, 2 étaient des études de cas et 1 était un essai clinique. Aucune étude de la base de données ClinicalTrials.gov en cours au moment de cette revue n’a fourni de détails sur les résultats ventilés par sexe. La monographie de produit canadienne ne comprenait pas de données sur les résultats ventilées par sexe.
UNASSIGNED: Les preuves disponibles issues d’essais cliniques, d’autres publications et de documents d’orientation ne fournissent pas de détails sur les résultats ventilés par sexe pour le giltéritinib. Ce manque d’éléments probants disponibles peut constituer un défi pour les cliniciens qui prennent des décisions sur l’efficacité et l’innocuité des thérapies prescrites chez des populations sexospécifiques qui n’ont pas été bien étudiées.

BACKGROUND: Therapeutic drug monitoring and Model-informed precision dosing allow dose individualization to increase drug effectivity and reduce toxicity.
OBJECTIVE: To evaluate the available evidence on the clinical efficacy of individualized antimicrobial dosing optimization.
METHODS: Data sources: PubMed, Embase, Web of Science, and Cochrane Library databases from database inception to 11 November 2022.
METHODS: Published peer-reviewed randomized controlled trials.
METHODS: Human subjects aged ≥18 years receiving an antibiotic or antifungal drug.
METHODS: Patients receiving individualized antimicrobial dose adjustment.
UNASSIGNED: Cochrane risk-of-bias tool for randomized trials.
UNASSIGNED: The primary outcome was the risk of mortality. Secondary outcomes included target attainment, treatment failure, clinical and microbiological cure, length of stay, treatment duration, and adverse events. Effect sizes were pooled using a random-effects model. Statistical heterogeneity was assessed by inconsistency testing (I2).
RESULTS: Ten randomized controlled trials were included in the meta-analysis (1241 participants; n = 624 in the individualized antimicrobial dosing group and n = 617 in the control group). Individualized antimicrobial dose optimization was associated with a numerical decrease in mortality (risk ratio [RR] = 0.86; 95% CI, 0.71-1.05), without reaching statistical significance. Moreover, it was associated with significantly higher target attainment rates (RR = 1.41; 95% CI, 1.13-1.76) and a significant decrease in treatment failure (RR = 0.70; 95% CI, 0.54-0.92). Individualized antimicrobial dose optimization was associated with improvement, but not significant in clinical cure (RR = 1.33; 95% CI, 0.94-1.33) and microbiological outcome (RR = 1.25; CI, 1.00-1.57), as well as with a significant decrease in the risk of nephrotoxicity (RR = 0.55; 95% CI, 0.31-0.97).
CONCLUSIONS: This meta-analysis demonstrated that target attainment, treatment failure, and nephrotoxicity were significantly improved in patients who underwent individualized antimicrobial dose optimization. It showed an improvement in mortality, clinical cure or microbiological outcome, although not significant.

This paper presents the role, tasks, and place of a hospital pharmacy in the structure of the entire facility. The role of hospital drug management and pharmacy seems to be extremely important in providing patients with high-quality care. Particular emphasis was placed on the distribution systems of medicinal products and medical devices in the hospital. The advantages and disadvantages of the classical distribution system and modern systems such as unit-dose and multi-dose-and the most important differences between them-are presented. Difficulties related to implementing modern distribution systems in hospitals were also discussed. The information provided is presented in the context of the legal regulations in Poland.

暂无摘要。

Admission to hospital is a critical transition point for the continuity of care in medication management. Medication reconciliation can identify and resolve errors due to inaccurate medication histories. The practice of medication reconciliation is securing for the patient because of the medication errors detected with significant clinical impact. Its implementation must comply with the recommendations of the French National Authority for Health (HAS) and its deployment is now integrated into the contract for improving the quality and efficiency of care (CAQES). However, although it allows to intercept medication errors, its impact on the length of hospitalization, the rate of readmission and/or death following discharge seems limited. Given the limited human resources to carry out this time-consuming activity, patient prioritization should be considered. Studies on the fate of patients and on the medico-economic issues are also necessary in order to make this activity sustainable.

UNASSIGNED: Application of artificial intelligence/machine learning (AI/ML) for automation of diabetes management can enhance equitable access to care and ensure delivery of minimum standards of care. Objective of the current study was to create a clinical decision support system using machine learning approach for diabetes drug management in people living with Type 2 diabetes.
UNASSIGNED: Study was conducted at an Endocrinology clinic and data collected from the electronic clinic management system. 15485 diabetes prescriptions of 4974 patients were accessed. A data subset of 1671 diabetes prescriptions of 940 patients with information on diabetes drugs, demographics (age, gender, body mass index), biochemical parameters (HbA1c, fasting blood glucose, creatinine) and patient clinical parameters (diabetes duration, compliance to diet/exercise/medications, hypoglycemia, contraindication to any drug, summary of patient self monitoring of blood glucose data, diabetes complications) was used in analysis. An input of patient variables were used to predict all diabetes drug classes to be prescribed. Random forest algorithms were used to create decision trees for all diabetes drugs.
UNASSIGNED: Accuracy for predicting use of each individual drug class varied from 85% to 99.4%. Multi-drug accuracy, indicating that all drug predictions in a prescription are correct, stands at 72%. Multi drug class accuracy in clinical application may be higher than this result, as in a lot of clinical scenarios, two or more diabetes drugs may be used interchangeably. This report presents a first positive step in developing a robust clinical decision support system to transform access and quality of diabetes care.