Dalbavancin is a novel antimicrobial against Gram-positive pathogens: clinical experience beyond labelled indications.

Very limited labelled indications have been approved for the newer antimicrobials. Data on the clinical uses, efficacy and safety of dalbavancin are scarce, thus here we sought to describe our clinical experience. 16-month observational prospective study was performed. 19 (86%) were used under off-label indications. 10 (46%) for osteoarticular infections, 5 (23%) bloodstream infections and 3 (14%) endocarditis. To highlight, one patient received dalbavancin as long-term suppressive therapy. Most frequent use reasons were promptly hospital discharge, 11 (65%), and the presence of resistant organisms involving limited treatment options, 5 (23%). Successful outcome was observed in >95% of the patients and only 1 (4.5%) adverse event was reported. Further evidence beyond labelled indications is urgently needed. Despite the limitations, dalbavancin appears to be a safe and efficient option for adult patients who have tried and/or failed other therapies due to multidrug-resistant Gram-positive organisms.

Granulocyte colony-stimulating factors as prophylaxis against febrile neutropenia.

Myelosuppression secondary to chemotherapy remains a serious adverse effect of cancer therapy that causes high morbidity and mortality. Several current European and American guidelines recommend consideration of primary prophylaxis with colony-stimulating factors (CSFs) when the risk of febrile neutropenia is higher than 20 %. The main factors associated with a high risk of febrile neutropenia include the chemotherapy regimen, tumor type, and patient-related factors such as old age and/or comorbidities. The purpose of this paper is to summarize the most relevant clinical trials and updated recommendations of the main guidelines on the role of granulocyte colony-stimulating factors (G-CSFs) in febrile neutropenia, examining whether the combination of G-CSF with chemotherapy improves overall survival. Future directions for G-CSF use are also discussed.

Detection of adverse drug reactions through the minimum basic data set.

OBJECTIVE: To analyze adverse drug reaction (ADR) detection using the Minimum Basic Data Set (MBDS) at hospital discharge and to compare the ADR reporting rate to the Pharmacovigilance Referral Centre with other similar hospitals that do not use this reporting system. Setting 650-bed University Hospital serving a population of 294,000 inhabitants in Spain. METHOD: A retrospective descriptive study was conducted between January 2006 and December 2007. All reports of ADRs gathered in MBDS (a tool that encodes all administrative and clinical information generated for each patient during a hospitalization episode) with International Classification Disease codes between E930 and E949.9 were analyzed to assess the appropriateness of their referral to the pharmacovigilance centre. Finally, we compared our reporting rate with other hospitals that do not use this system for ADR identification. MAIN OUTCOME MEASURE: The incidence of ADRs detected in hospitalized patients and the reporting rate (per thousand inhabitants) to the referral pharmacovigilance centre using the Yellow Card system. RESULTS: Out of 43,282 hospital discharges, 386 ADR were recorded (0.89% of hospitalized patients). The mean (+/-SD) age of patients with reported ADR was 61.9 years (+/-19.2), median age was 65 years, and 55.2% were female. The Department of Pharmacy reported 276 (71.5%) of ADR using the Yellow Card system. The most frequently reported drugs were anti-cancer agents (42.5%) and cardiovascular drugs (23.8%), with a high frequency of digitalis glycosides (18.4%). ADR were most frequently recorded by the Departments of Oncology (41.7%) and Internal Medicine (17.9%). CONCLUSION: The MBDS is a useful and accessible instrument to determine the incidence of ADR in a hospital, resulting in the notification of severe events that might otherwise not be reported. Its use also improves identification of the main drugs responsible for ADR and of the patient populations at greatest risk, facilitating the implementation of alert systems and the development of prevention and detection strategies.