Patient- and physician-related risk factors for hyperkalaemia in potassium-increasing drug-drug interactions

PURPOSE: Hyperkalaemia due to potassium-increasing drug-drug interactions (DDIs) is a clinically important adverse drug event. The purpose of this study was to identify patient- and physician-related risk factors for the development of hyperkalaemia. METHODS: The risk for adult patients hospitalised in the University Hospital Zurich between 1 December 2009 and 31 December 2011 of developing hyperkalaemia was correlated with patient characteristics, number, type and duration of potassium-increasing DDIs and frequency of serum potassium monitoring. RESULTS: The 76,467 patients included in this study were prescribed 8,413 potentially severe potassium-increasing DDIs. Patient-related characteristics associated with the development of hyperkalaemia were pulmonary allograft [relative risk (RR) 5.1; p 48 h: RR 1.6; p < 0.01). CONCLUSION: Strategies for reducing the risk of hyperkalaemia during potassium-increasing DDIs should consider both patient- and physician-related risk factors

Validation of a transparent decision model to rate drug interactions

BACKGROUND: Multiple databases provide ratings of drug-drug interactions. The ratings are often based on different criteria and lack background information on the decision making process. User acceptance of rating systems could be improved by providing a transparent decision path for each category. METHODS: We rated 200 randomly selected potential drug-drug interactions by a transparent decision model developed by our team. The cases were generated from ward round observations and physicians' queries from an outpatient setting. We compared our ratings to those assigned by a senior clinical pharmacologist and by a standard interaction database, and thus validated the model. RESULTS: The decision model rated consistently with the standard database and the pharmacologist in 94 and 156 cases, respectively. In two cases the model decision required correction. Following removal of systematic model construction differences, the DM was fully consistent with other rating systems. CONCLUSION: The decision model reproducibly rates interactions and elucidates systematic differences. We propose to supply validated decision paths alongside the interaction rating to improve comprehensibility and to enable physicians to interpret the ratings in a clinical context

Checklist for standardized reporting of drug-drug interaction management guidelines

Item does not contain fulltextPURPOSE: Inconsistencies and omissions in drug-drug interaction (DDI) management guidelines may lead to harm and suboptimal therapy. The purpose of this study was to define a checklist for DDI management guidelines to help developers produce high-quality guidelines that will support healthcare providers in clinical practice. METHODS: We carried out a two-round Delphi process with an international panel of healthcare providers, most of whom are pharmacists involved in providing DDI information, in order to select those items that should be addressed in DDI management guidelines (including grading systems that could be used). Results : Twenty-three panellists reached consensus on 19 items in two main domains. These were consolidated into a checklist of 15 elements for standardized reporting in management guidelines. For each element a description is provided to specify what information should be documented in that specific element. CONCLUSIONS: It was possible to reach a broad consensus on which relevant items should be included in a checklist for the development of DDI management guidelines