scholarly journals Prevalence and characteristics of drug-drug interactions among hospitalised patients in the Capital Region of Denmark

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Hans Kristian Råket Pedersen ◽  
Anne Mette Skov Sørensen ◽  
Astrid Blicher Schelde ◽  
Martin Erik Nyeland ◽  
Espen Jimenez-Solem
2021 ◽  
Vol 16 (3) ◽  
pp. 799-800
Author(s):  
Giada Crescioli ◽  
Cecilia Lanzi ◽  
Guido Mannaioni ◽  
Alfredo Vannacci ◽  
Niccolò Lombardi

2009 ◽  
Vol 18 (2) ◽  
Author(s):  
Hege Salvesen Blix ◽  
Kirsten K. Viktil ◽  
Åsmund Reikvam

Introduction: Little is known about the occurrence of drug interactions of hospitalised patients. We aimed to identify the frequency of potential drug interactions among hospitalised patients and, furthermore, to evaluate how many of these were problematic and clinically significant. Methods: We investigated drug interactions by two methods: by applying a computerised drug-drug interaction programme and by prospective clinical evaluation. The study was carried out at departments of internal medicine and rheumatology in five Norwegian hospitals in 2002. Patient characteristics and information on drug use were recorded for 827 patients consecutively included. Medication reviews were carried out by clinical pharmacists and drug-related problems (DRPs), among which drug interactions is one category, were identified and discussed in the hospital multidisciplinary team, chaired by a physician. Retrospectively, the patients’ drug regimens were screened by using a computer programme for drug-drug interactions, DRUID. This programme is universally used in Norway and classifies DDIs into four categories according to assumed severity: A, avoid; B, avoid/take precautions; C, take precautions; D, no action needed. Results: A total of 1513 DDIs were found in 544 patients (66% of the total sample of 827 patients) by computer screening. Many of these were related to drugs started in the hospital, that is they were new drug interactions. By bedside evaluation, 99 DDIs were found in 73 patients (9%). Of these, 89 were also identified by computer screening. Thus, only 6% of the computer identified drug interactions were assessed to be clinically problematic. Interactions of all degrees of severity, according to the computer programme, were identified as problematic by bedside screening. Drugs most often causing new drug interactions were warfarin, acetylsalicylic acid, digitoxin and combinations of codeine and paracetamol. Conclusions: The majority of hospitalised patients have potential drug interactions, however, less than one in ten have interactions of clinical importance. Computer graded severity has limitations when intended to be used as an indicator for clinical importance. Another way of picking up new, possibly serious drug interactions would be to select indicator drugs, which are drugs frequently known to be involved in interactions, and then undertake the main interaction search on these drugs.


2014 ◽  
Vol 21 (Suppl 1) ◽  
pp. A104.1-A104
Author(s):  
AM Rojo Sanchis ◽  
MA Parro Martin ◽  
E Delgado Silveira ◽  
A Álvarez Diaz ◽  
C Pérez Menéndez-Conde ◽  
...  

2015 ◽  
Vol 22 (Suppl 1) ◽  
pp. A2.2-A3
Author(s):  
M Freire ◽  
C Sobrino ◽  
M De Sebastián ◽  
L Balade ◽  
M Bravo ◽  
...  

2020 ◽  
Vol 10 (3) ◽  
pp. 78
Author(s):  
Charlotte Vermehren ◽  
Regitze Søgaard Nielsen ◽  
Steffen Jørgensen ◽  
Anne Mette Drastrup ◽  
Niels Westergaard

Background: Polypharmacy is most prevalent among the elderly population and in particular among nursing home residents. The frequency of the use of drugs with pharmacogenomics (PGx)-based dosing guidelines for CYP2D6, CYP2C9, CYP2C19 and SLCO1B1 were measured among nursing home residents in the Capital Region of Denmark as well as drug–drug interactions. The aim was to evaluate the potential of applying PGx-test as a supportive tool in medication reviews. Methods: Drug use among nursing home residents during 2017–2018 in the Capital Region of Copenhagen, for drugs with PGx-based dosing guidelines available through the PharmGKB website, were measured. Drug–drug interactions were scored in severity by using drug interaction checkers. Results: The number of residents using drugs with PGx-based actionable dosing guidelines (AG) were 119 out of 141 residents (84.3%). Of these 119 residents, 87 residents used drugs with AG for CYP2C19, 47 residents for CYP2D6, and 42 residents for SLCO1B1. In addition, 30 residents used two drugs with an AG for CYP2C19, and for CYP2D6, it was only seven residents. The most used drugs with AG were clopidogrel (42), pantoprazole (32), simvastatin (30), metoprolol (25), and citalopram (24). The most frequent drug interactions found with warnings were combinations of proton pump inhibitors and clopidogrel underscoring the potential for phenoconversion. Conclusion: this study clearly showed that the majority of the nursing home residents were exposed to drugs or drug combinations for which there exist PGx-based AG. This indeed supports the notion of accessing and accounting for not only drug–gene but also drug–drug–gene interactions as a supplement to medication review.


2017 ◽  
Vol 74 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Wu Yi Zheng ◽  
L. C. Richardson ◽  
L. Li ◽  
R. O. Day ◽  
J. I. Westbrook ◽  
...  

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