Pharmazie最新文献

Some macrolide antibiotics, which share a basic lactone ring structure, also exhibit anti-inflammatory actions in addition to their antibacterial activities. However, no study has directly compared anti-inflammatory effects on acute inflammation among macrolide antibiotics with the distinct size of the lactone ring. In this study, we evaluated and compared the anti-inflammatory activities of four 14-membered macrolides (erythromycin, clarithromycin, roxithromycin, oleandomycin), one 15-membered macrolide (azithromycin), and three 16-membered macrolides (midecamycin, josamycin, leucomycin) using a rat carrageenan-induced footpad edema model. All macrolide antibiotics were intraperitoneally administered to rats one hour before the induction of inflammatory edema with 1% λ -carrageenan. The anti-inflammatory effects on acute inflammation were evaluated by changing the edema volume. All 14-membered and 15-membered macrolide antibiotics significantly suppressed the development of edema. Conversely, none of the 16-membered macrolide antibiotics inhibited the growth of edema. In conclusion, compared to 16-membered macrolide antibiotics, 14-membered and 15-membered macrolide antibiotics have stronger anti-inflammatory effects. Further research should be done to determine why different lactone ring sizes should have distinct anti-inflammatory effects.

Transfer of care is a critical point for patient safety and requires an optimal care transfer model in order to ensure safe pharmacotherapy transfer. Polypharmacy among elderly is associated with adverse health consequences such as hospital readmissions. Hospital readmissions represent priorities in health care research and are one of the measures for assessing patient safety. Medication-related problems among elderly are associated with polypharmacy. The aim of the study was to show the impact of a developed model of care transfer led by a hospital clinical pharmacist on the number of hospital readmissions in the 12-months period in the elderly. A randomized controlled study of patients aged 65 or more was conducted at Dubrava University Hospital, Community Health Centre Zagreb - East and community pharmacies in the City of Zagreb and Zagreb County, Croatia. An intervention group received specially designed care transfer led by the hospital clinical pharmacist. Model included high-intensity pharmacotherapy interventions delivered at admission, during hospital stay and discharge, transition to primary care and post-discharge and cooperation between all healthcare professionals. In all, 182 patients in the intervention and 171 in the control group were analysed. The total number of hospital readmissions and emergency readmissions, within one year from the hospital discharge, was lower in the intervention group than in the control group (41.7% vs. 58.3%, p=0.005; 40.8% vs. 59.2%, p=0.008). The model of the health care transfer applied in this research thus significantly reduced hospital readmissions in the 1-year period in elderly patients. Therefore, the hospital clinical pharmacists should design and coordinate the transfer between hospital and primary care.

Hyperuricemia (HUA) is a disorder of uric acid metabolism, which can lead to the formation of gouty arthritis, kidney inflammation and other damages. Previous studies have found that the alcohol extract of Poria cutis can reduce the level of uric acid and protect against kidney injury. Based on network pharmacology, the core targets and main active components of P. cutis intervention in HUA were determined. Most of the potential active ingredients are triterpenoid acids such as tumulosic acid (TA) and eburicoic acid (EA), and the potential targets are TNF and IL-6, which are associated with inflammation. In vitro experiments have shown that TA can significantly inhibit the release of NO, TNF-α and IL-6 in inflammatory RAW264.7 cell culture medium and the expression of TNF-α and IL-6 in RAW264.7 cells. This study suggests that TA based on network pharmacological screening has obvious anti-inflammatory effect on inflammatory RAW264.7 cells and is a promising anti-inflammatory compound.

Human gonadotropins are glycoprotein hormones with a highly complex structure, which demands the application of sophisticated analytical methodologies to assess their quality. The principal objective of this study was a comparative evaluation of gel electrophoretic techniques and mass spectrometry-based methods for the quality study of the two urinary-derived, highly purified, human menopausal gonadotropin preparations, Menopur 75/75 I. U. and Meriofert 75 I. U. Molecular mass (Mr), isoelectric point (pI), and isoform pattern of studied compounds were estimated via SDS-PAGE and 2D gel electrophoresis, whereas matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used for the downstream characterization of peptides obtained after in-gel tryptic digestion of selected protein spots. Additionally, for the estimation of the glycosylation pattern of these biologics, the enzymatic release of oligosaccharides was performed, and the isoform pattern was studied. Gel electrophoresis showed a typical electrophoretic behaviour for protein biotherapeutics medicines consisting of extremely complex spot patterns migrating at different masses and pIs. MS analysis proved to be a powerful tool for the identification and detailed characterization of the gonadotropins and the relevant peptides were identified with high sequence coverages. The results of this study are not only useful for the quality assessment of this class of complex biopharmaceuticals but may also serve as a supporting platform for further development of biopharmaceuticals based on modulation of the glycosylation pattern to enhance efficacy or reduce side effects.

Nanoparticles are used in a variety of fields; for example, titanium oxide nanoparticles are used in paints, food additives, cosmetics, and sunscreen materials. Although the use of titanium oxide nanoparticles is regulated, their safety has not been established. Furthermore, the interaction between titanium oxide nanoparticles and various chemical substances and pharmaceuticals is unknown. We co-administered rutile-type titanium oxide nanoparticles (nTR) or anatase-type titanium oxide nanoparticles (nTA) to mice together with paraquat (PQ), cisplatin (CDDP), or anti-5-aminosalicylic acid (5-ASA), and investigated the extent, if any, of liver and kidney injury. As a result, when nTA and nTR were administered alone, no increases were observed in aspartate aminotransferase (AST) and alanine aminotransferase (ALT), which are indicators of liver damage, or urea nitrogen (BUN), which is an indicator of kidney damage. Next, nTA and nTR were co-administered with PQ, CDDP or 5-ASA. Although no increase in ALT or AST was observed, BUN levels increased significantly and acute kidney injury was induced. The findings suggested that titanium oxide nanoparticles induce acute kidney injury through their interaction with chemicals and drugs.

Promoting antidiabetic phytomedicines necessitates evidence-based preclinical investigations, particularly in animal models. The present study investigated the validity of using the streptozotocin-nicotinamide-induced type 2 diabetic (STZ/NA-induced T2DM) model to evaluate the effects of Physalis peruviana leaf crude extracts on controlling blood glucose levels and regulating physiological biomarkers in rats. Aqueous and methanol extracts dissolved in carboxymethylcellulose 1% (100, 200, mg/kg/day) were administered orally to STZ/NA-induced T2DM rats alongside glibenclamide (5 mg/kg) as the standard drug for four weeks. Blood samples were collected in fasting rats on days 1, 7, 14, 21, and 28 to measure glucose concentration, lipoprotein-cholesterol, and common serum biomarkers. Nutrition characteristics were also monitored, as well as the pancreas histology. Administration of STZ/NA in Wistar rats induced the T2DM significantly lower than did STZ alone (glycaemia 200 vs 400 mg/dL). The significant effects observed with plant extracts compared to untreated diabetic rats were blood glucose reduction (28-52 %), HDL-C increase, LDL-C decrease, ALAT increase, WBC increase, body weight gain (24%), and pancreas protection. The findings confirm the antidiabetic effect of P. peruviana in T2DM animal model.

Background and aim: Drug-related problems (DRPs), e.g.drug-drug interactions (DDI), can lead to adversedrug reactions (ADRs) and thus complications during hospitalization. For this reason, such DRP, DDI and ADR should be identified and characterized as early as possible during hospital admission. We aimed to perform a clinical-pharmaceutical medication reconciliation in which patient-related information was collected and compared to drug-related information in a medication review. Investigations: During a 24-week-period, we consecutively invited patients electively admitted to Urology, Otolaryngology, Oral and Maxillofacial Surgery, General and Visceral Surgery, and Oncology Departments of a 300-bed hospital. A clinical pharmacist performed a patient interview asking for medication, ADR, and adherence. The medication reconciliation considered packages for a brown-bag analysis, medication lists, and data from the clinical information-system (CIS). In a medication review, we matched patient-related information to drug-related information from the drug label, guidelines, drug-databases and websites to identify DRPs. Results: In the study, 356 patients (median age: 58 years) taking 1,712 drugs participated. Of all patients, 7.3% reported ADR and 10.7% missing adherence. 5.3% brought packages that enabled a brown-bag analysis and 21.1% a medication list. In 76.7% of patients, information from CIS was incomplete or not up-to-date. Among the most frequently identified DRPs were "Medication without diagnosis" (31.2%) and "Inappropriate timing of administration" (11.5%). The proportion of patients affected by severe DDI ranged from 0.8%-16.6%, depending on the drug information source. Conclusions: Incomplete patient data, frequently identified DRPs and inconsistent drug-based information make pharmaceutical involvement in medication reconciliation on admission a necessity.

Video-assisted thoracic surgery esophagectomy (VATS-E) may increase the risk of postoperative nausea and vomiting (PONV) because it uses a high dosage of anesthesia through a long operative duration. However, no study has examined the risk factors for PONV after VATS-E. Therefore, we investigated the risk factors for PONV to support the appropriate risk management of PONV after VATS-E. This prospective cohort study included 155 patients who underwent VATS-E at the Showa University Hospital between April 1st, 2020 and November 30th, 2022. The primary outcome was the incidence of PONV within 24 h after surgery. Significant independent risk factors associated with the incidence of PONV were selected using multivariate analysis. The association between the number of risk factors for PONV and incidence of PONV was analyzed. One-hundred fifty-three patients were included in the analysis. The patients' median age was 67 years (range, 44-88), and 79.1% were male. PONV occurred in 35 (22.9%) patients. In the multivariate analysis, remifentanil dosage > 89.0 ng/kg/ min, albumin ≤ 3.5 g/dL, and eGFR < 60 mL/min/1.73 m 2 were independent significant risk factors for PONV. A significant association was observed between the incidence of and the number of risk factors for PONV (0 factor, 5.8%; 1 factor, 27.3%; ≥ 2 factors, 40.0%; p = 0.001). These three risk factors are useful indicators for selecting patients at high risk of developing PONV after VATS-E. In these patients, avoiding the development of PONV will be possible by performing appropriate risk management.

Background and aim: Medication errors lead to preventable risks. Preventing strategies such as e-prescribing, clinical pharmacists and medication reconciliation have been implemented in recent years. However, information on long-term medication error rates in routine procedures is missing. Investigations: We aimed to identify predefined medication errors in ten wards of a university hospital where e-prescribing, clinical pharmacists and medication reconciliation have been partially implemented. Patient files were reviewed and routine processes were monitored for drug prescription errors (missing, unclear, outdated information), administration errors (wrong dispensed drugs) and drug handling errors (no light-, moisture-protection, wrong splitting, no separation of drugs, which ought to be taken by an empty stomach). Results: We analyzed 959 prescriptions with 933 solid peroral drugs for 182 patients (98 female, median age 66.5 years [Q25-Q75: 56-78 years]; the median number of drugs was 5 [Q25-Q75: 3-7]). The most frequent prescription error was a not specified drug form (91.1%). The most common administration error was a not adequately provided release dose formulation (72.7%). The lack of light protection for observed photosensitive drugs was the most frequent drug handling error (100%). We found a significantly higher amount of complete drug prescriptions with one of the implemented measurements e-prescribing, medication reconciliation and clinical pharmacists (Fisher's exact test two tailed, each p<0.001; CI 95%). Drug administration errors and drug handling errors were not significantly improved. Among the most frequently involved drug were drugs for acid-related disorders, immunosuppressant, and antineoplastic drugs. Conclusions: In the nearly 1,000 prescriptions and drugs analyzed, medication errors were still common. Various preventive strategies had been implemented in recent years, positively influencing the predefined errors rates.

Background: The use of generative artificial intelligence (AI) applications such as ChatGPT is becoming increasingly popular. In Japan, consumers can purchase most over-the-counter (OTC) drugs without having to consult a pharmacist, so they may ask generative AI applications which OTC drugs they should purchase. This study aimed to systematically evaluate responses from ChatGPT to consumer inquiries about various OTC drugs. Methods: We selected 22 popular OTC drugs and 12 typical consumer characteristics, including physical and disease conditions and concomitant medications. We input a total of 264 questions (i. e., all combinations of drugs and characteristics) to ChatGPT in Japanese, asking whether it is safe for consumers with each characteristic to take these OTC drugs. We used the generic name for 10 of the 22 drugs and the brand name for the remaining 12. Responses were evaluated based on the following three criteria: 1) coherence between the question and response, 2) scientific correctness, and 3) appropriateness of the instructed actions. When we received a response that satisfied all three criteria, we input the exact same question on a different day to assess reproducibility. Results: The proportions of ChatGPT's answers that satisfied criteria 1, 2, and 3 were 79.5%, 54.5%, and 49.6%, respectively. However, the proportion of responses that satisfied all three criteria was only 20.8% (55/264); 61.8% (34/55) of these responses were reproduced when the same question was input again on a different day. Compared with questions using generic names, those using brand names resulted in lower coherence and scientific correctness. Among the 12 characteristics, the appropriateness of the instructed actions tended to be lower in responses to questions about driving and concomitant medications. Conclusions: Our study revealed that ChatGPT was less accurate in its responses and less consistent in its instructed actions compared with the package inserts. Our findings suggest that Japanese consumers should not consult ChatGPT regarding OTC medications, especially when using brand names.