Prevalence and trend of potential drug–drug interaction among children with depression in U.S. outpatient settings

2019 ◽  
Vol 10 (4) ◽  
pp. 393-399
Author(s):  
L. Leanne Lai ◽  
Goar Alvarez ◽  
Linh Dang ◽  
Dung Vuong ◽  
Vy Ngo ◽  
...  
2015 ◽  
Vol 24 (12) ◽  
pp. 1337-1340 ◽  
Author(s):  
Daniel Pilsgaard Henriksen ◽  
Tore Bjerregaard Stage ◽  
Morten Rix Hansen ◽  
Lotte Rasmussen ◽  
Per Damkier ◽  
...  

1975 ◽  
Vol 9 (11) ◽  
pp. 586-590 ◽  
Author(s):  
Curtis D. Black ◽  
Nicholas G. Popovich

At present, the pharmacist is faced with a perplexing number of potential drug interactions as they relate to patient care. The purpose of the investigation was to evaluate current drug-drug interaction literature, specifically gastrointestinal drug interactions. Literature search and review evaluated the authoritative basis on which conclusions were made. From this, a review was written to illustrate fallacies and misconceptions that could be derived from the literature with the intent it would serve as a guide in interpreting and evaluating drug-drug interactions. The overall study illustrates the vast need for careful evaluation of drug interaction literature before erroneous recommendations are made on conceivably inconclusive clinical studies.


2021 ◽  
Vol 9 (4) ◽  
pp. 528-542
Author(s):  
Md. Jamal Hossain ◽  
◽  
Md. Shamiul Islam ◽  
Saimon Shahriar ◽  
Sherejad Sanam ◽  
...  

Drug-drug interaction is a notable concern among physicians when prescribing multi-therapy to the patients as concomitant administration of multi-drugs might cause unexpected adverse drug reactions. The main objective of this research is to predict a potential drug-drug interaction between two frequently used drugs by diabetic patients, an antidiabetic drug (linagliptin) and a proton pump inhibitor (rabeprazole sodium). Here, several in vitro techniques, including thermal (melting point, thermogravimetric analysis [TGA]), morphological (scanning electron microscopy [SEM] and X-ray powder diffraction [XRPD] analysis), highly sophisticated synchronous fluorescence, and in silico methods were applied to anticipate the potential drug-drug interaction between these stated drugs quickly. The melting point and TGA study revealed thermochemical properties, thermal stability profiles, and degradation patterns upon temperature rising of the formed complex and these precursor drugs. The SEM and XRPD have provided the morphological changes like particle shape and size distribution of the desired molecule that might be caused due to the potential drug-drug interactions. Besides, the drastic reduction of the quenching rate constant of linagliptin during interaction with bovine serum albumin in synchronous fluorescence also endorsed the potential drug-drug interaction. Furthermore, the drug-receptor docking analysis demonstrated that the binding affinity of the precursor ligands might be reduced due to the predicted drug-drug interaction. However, the current evidence warrants extensive investigation to confirm the above-stated potential drug-drug interaction in the larger animal model. Finally, clinical data need to be closely monitored during the treatment of diabetic patients prescribed with linagliptin and rabeprazole sodium.


2015 ◽  
Vol 32 (2) ◽  
pp. 93-103
Author(s):  
문정연 ◽  
한현주 ◽  
이용화 ◽  
이혜숙 ◽  
박현희 ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Harry Hochheiser ◽  
Xia Jing ◽  
Elizabeth A. Garcia ◽  
Serkan Ayvaz ◽  
Ratnesh Sahay ◽  
...  

Despite the significant health impacts of adverse events associated with drug-drug interactions, no standard models exist for managing and sharing evidence describing potential interactions between medications. Minimal information models have been used in other communities to establish community consensus around simple models capable of communicating useful information. This paper reports on a new minimal information model for describing potential drug-drug interactions. A task force of the Semantic Web in Health Care and Life Sciences Community Group of the World-Wide Web consortium engaged informaticians and drug-drug interaction experts in in-depth examination of recent literature and specific potential interactions. A consensus set of information items was identified, along with example descriptions of selected potential drug-drug interactions (PDDIs). User profiles and use cases were developed to demonstrate the applicability of the model. Ten core information items were identified: drugs involved, clinical consequences, seriousness, operational classification statement, recommended action, mechanism of interaction, contextual information/modifying factors, evidence about a suspected drug-drug interaction, frequency of exposure, and frequency of harm to exposed persons. Eight best practice recommendations suggest how PDDI knowledge artifact creators can best use the 10 information items when synthesizing drug interaction evidence into artifacts intended to aid clinicians. This model has been included in a proposed implementation guide developed by the HL7 Clinical Decision Support Workgroup and in PDDIs published in the CDS Connect repository. The complete description of the model can be found at https://w3id.org/hclscg/pddi.


Author(s):  
Venkateswaramurthy N. ◽  
Krishnaveni K ◽  
Mercy Freeda R. ◽  
Sambath Kumar R.

<p><strong>Objective: </strong>To assess the incidence and pattern of potential drug-drug interaction (pDDI) in hospitalized stroke patients.</p><p><strong>Methods: </strong>A retrospective study was carried out in a medical record from a tertiary care teaching hospital for a 4 mo period from November 2015-February 2016. The total of 200 prescriptions was analyzed during the study period.</p><p><strong>Results: </strong>A significant proportion of patients with pDDIs were males (61.5%) followed by females (38.5%). Among the 200 prescriptions, 179(89.5%) were confirmed with minimum one potential drug-drug interaction. Moreover, patients prescribed with more than 5 drugs developed a higher number of interactions. Based on severity scale, there were 125 major, 375 moderate and 128 minor interactions were observed. The pharmacodynamic interactions were 286 while the pharmacokinetic were 342.</p><p><strong>Conclusion: </strong>The study highlighted the pDDIs which were high in stroke patients greater than 40 y. pDDIs in prescriptions contained multi-drug therapy is a major concern as such interaction may lead to increased risk of hospitalization and higher health care cost. The majority of interactions were pharmacokinetic in nature, having moderate severity. In this study pDDIs mainly occurred between antihypertensive, anticoagulants and antiplatelet.</p>


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