INITIALLY BUILDING AND APPLYING A LIST OF DRUG INTERACTIONS AT VINH LONG GENERAL HOSPITAL, IN 2020

2021 ◽  
Vol 62 (6) ◽  
Author(s):  
Pham Phuong Lien ◽  
Tran Hoang Anh ◽  
Bui Thi My Anh
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
General Hospital ◽  
Medical Staff ◽  
Adverse Drug Events ◽  
Drug List ◽  
Level 1 ◽  
Outpatient Prescriptions ◽  
Outpatient Drug

Background: Drug interactions are the main causes of adverse drug events. In order to promptly detect, and handle drug interactions, medical staff often have to look up information in different databases. However, in practice this is still difficult. Stemming from practical needs, we conducted the study "Initially building and applying a list of drug interactions at Vinh Long General Hospital, in 2020". Methods: The study built a list of drug interactions appearing in the list of outpatient drugs at Vinh Long General Hospital. Then, the above list was used to examine the drug interaction on 260 outpatient prescriptions at the hospital.             Results: The main findings show that 23 pairs of interactions appearing in the outpatient drug list applied at Vinh Long General Hospital; The rate of prescriptions with interactions is still quite high (44.2%). Among prescriptions with interactions: the rate of prescriptions with 1 interaction was 58.2%; 13% of prescriptions have 3 types of interactions and 4.5% of prescriptions have more than 3 types of interactions. The proportion of prescriptions with interactions at level 1 – "need to be monitored"  accounted for 72.2%. The rate of prescriptions with serious interactions requiring replacement of other drugs was 11.3% and contraindications was 2.6%.

scholarly journals Drug Interaction Profile of Posaconazole

2008 ◽  
Author(s):  
Simon Leung ◽  
Mara Poulakos
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Adverse Drug Events ◽  
Fungal Infections ◽  
Invasive Fungal Infections ◽  
Emergency Department Visits ◽  
Multiple Drug ◽  
Close Monitoring ◽  
Immunocompromised Patients ◽  
Potential Drug

Adverse drug events resulting from drug-drug interactions may lead to emergency department visits, hospitalizations, prolonged length of stays, increased medical care costs, and death. Despite the efforts of research, clinical studies, and active reporting to identify and explain these drug interaction pathways, clinicians are often unaware of such drug-drug interactions. Therefore, it is imperative for pharmacists to identify these potential drug-drug interactions and notify the clinicians as well as the patients so that appropriate safety measures and monitoring methods are implemented. Specifically, immunocompromised patients often receive multiple drug regimens which are associated with toxicities and are highly susceptible to drug-drug interactions. Because of the increased use of azole antifungals in the prophylaxis or treatment of invasive fungal infections among these patients, a close monitoring of drug-drug interactions is warranted. Posaconazole (PCZ), an extended spectrum azole antifungal, has been indicated for use in the prophylaxis of invasive fungal infections in immunocompromised patients. The intent of this article is to increase the awareness of the potential drug-drug interactions with PCZ by reviewing the available drug interaction studies of PCZ and other therapeutic agents, specifically Mylanta, cimetidine, phenytoin, midazolam, cyclosporine, tacrolimus, rifabutin, and glipizide. Excluding Mylanta and glipizide, significant interactions have been observed when PCZ was co-administered with these agents. Therefore, avoidance of PCZ with these and other agents which share the same metabolic pathways is recommended. Otherwise, frequent monitoring of drug levels and for adverse drug events as well as dose adjustments may be warranted.

scholarly journals Drug Interaction Exposures in an Intensive Care Unit: AntihypertensivePopulation

2015 ◽  
Vol 7 ◽  
pp. 41
Author(s):  
Muhammad Tahir Aziz ◽  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Drug Interaction ◽  
Drug Interactions ◽  
Adverse Drug Events ◽  
Drug Effect ◽  
Pharmacological Response ◽  
Critical Ill Patients ◽  
Drug Drug Interaction ◽  
Critical Ill

Drug-drug interaction is an event that occurs when the effects of one drug modified by another drug or food when taken concurrently or concomitantly. This interaction either reduced the effect or no effect or increased drug effect. Patient in intensive care unit (ICU) are highly susceptible to drug interactions because of the complexity of the drugs regimens they receive. Drugs may affect the Pharmacokinetics of the critical ill patients and subsequently altered the pharmacological response, which potentially lead to serious adverse drug events. Drug-drug interaction (DDI) are considered predictable and thus avoidable and manageable.

ASSESSMENT OF DRUG INTERACTIONS IN OUTPATIENT PRESCRIPTIONS IN HUE UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL

2018 ◽  
Vol 8 (5) ◽  
pp. 26-36
Author(s):  
Phuong Vo Thi Hong ◽  
Hien Nguyen Thi
Keyword(s):  
Drug Interaction ◽  
Proton Pump Inhibitor ◽  
Drug Interactions ◽  
Descriptive Study ◽  
Management Guideline ◽  
Cross Sectional ◽  
Significant Drug Interaction ◽  
Clinically Significant ◽  
Multiple Symptoms ◽  
Outpatient Prescriptions

Background: The combination of drugs in treatment is inevitable, especially in multiple diseases and multiple symptoms. This is the leading cause of occurrence of drug - drug interactions. Objectives: (1) To identify clinically significant drug interactions in outpatient prescriptions in Hue University of Medicine and Pharmacy Hospital, (2) To build a management guideline of clinically significant drug interactions in Hue University of Medicine and Pharmacy Hospital. Materials and methods: 5338 outpatient prescriptions were collected from Pharmacy Faculty – Hue University of Medicine and Pharmacy Hospital from 1st to 31st October 2017, using cross-sectional descriptive study method. Results and Conclusion: The list of 20 clinically significant drug interaction pairs was identified and a management guideline for each interacting pair was built. The prevalence of prescriptions with drug interactions was 6.7%. The most commonly identified drug interaction pair was clopidogrel and proton pump inhibitor (1.59%). The occurrence of drug interactions increased with increase in the age of patients and the number of drugs prescribed (p < 0.05). Key words: combination of drugs, drug interaction, clinically significant, prescription, outpatient

scholarly journals Prescribing pattern, polypharmacy and potentially inappropriate prescribing in hospitalized elderly patients: a retrospective study in a teaching hospital in Nepal

2016 ◽  
Vol 2 (1) ◽  
pp. 7 ◽  
Author(s):  
Sangharshila Basnet ◽  
Keshab Raj Paudel ◽  
Ajit Kumar Sah ◽  
Rajesh Kumar Jha ◽  
Phoolgen Sah ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Elderly Patients ◽  
Drug Interactions ◽  
Inappropriate Prescribing ◽  
Essential Drug ◽  
Prescribing Pattern ◽  
Essential Drug List ◽  
Hospitalized Elderly ◽  
Drug List ◽  
Hospitalized Elderly Patients

<p class="abstract"><strong>Background:</strong> Evaluate prescribing pattern, polypharmacy, and prescribing potentially inappropriate medicine (PIM) in elderly population to contribute in awareness towards rational use of drugs.</p><p class="abstract"><strong>Methods:</strong> A retrospective cross-sectional and observational study was done in hospitalized geriatric patients in Nepal. The World Health Organization (WHO) “core prescribing indicators” and Beers' 2012 updated criteria were used to assess prescribing pattern and inappropriate prescribing respectively. The drug- drug interactions were checked using Medscape drug interaction checker. In addition, disease prevalence and the most commonly prescribed drugs were also assessed where diseases and drugs were classified according to International Classification of Diseases-10 (ICD-10) and the Anatomical Therapeutic Chemical (ATC) classification respectively.</p><p class="abstract"><strong>Results:</strong> Out of 225 patients, 118 (52.4%) were males and most of the patients were in the age group 65-74 years (125, 55.6%). The diseases of circulatory system were more prevalent (135, 60%) and the average number of drugs was 8.19±3.50. Generic name prescribing was 8.51% and 77.33% of prescription contained antibiotic(s). Injection(s) prescribed were 80%, and drugs prescribed from national essential drug list and WHO essential drug list were 52.55% and 46.15% respectively. Medicines for alimentary tract and metabolism (215, 95.55%) and cardiovascular system (155, 68.89%) were most frequently prescribed. Polypharmacy (≥5 drugs) was found in 195 (86.66%) patients and was significant (P= 0.001). The potentially inappropriate medicines (PIMs) prescribed were 133 (7.21%) and at least one PIM was prescribed to 78 (34.67%) patients. Almost half numbers of patients (48.9%) were detected with at least one potential drug-drug interaction (DDI).</p><strong>Conclusions:</strong> Majority of hospitalized elderly patients received polypharmacy with drugs which may have serious drug-drug interactions. Thus, less number of drugs per prescription with minimum potential of drug-drug interaction and inappropriate medicines for elderly can be reinforced by implementing proper system of recording and analysing the therapy.

scholarly journals SIGNIFICANT DRUG INTERACTIONS AMONG INTENSIVE CARE UNIT PATIENTS

2017 ◽  
Vol 10 (14) ◽  
pp. 35 ◽  
Author(s):  
M Yulis Hamidy ◽  
Dina Fauzia
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Drug Interaction ◽  
Drug Interactions ◽  
General Hospital ◽  
Health Professionals ◽  
Medical Records ◽  
Potential Drug ◽  
Drug Related Problems ◽  
Icu Patients

Objective:Drug interaction is one factor that contributes to drug-related problems. The hospitalized patients in intensive care units (ICU) have a higher risk for developing drug interactions. The purpose of this study was to evaluate the potency of significantdrug interactions in ICU patients.Methods:Drug-drug interactions from patient's medical records from ICU of Arifin Achmad General Hospital in Pekanbaru, Province of Riau, Indonesia at period July to December 2015 wereassessed. Drug Interaction Checker (Medscape) software was used to identify potential drug interactions.Results: This study included 28 ICU patients (mean age, 48 years) who had potency to drug interactions based on the software. Of these, 29% were male and 71% were female patients. The number of drugs that were given to patients was 3 to 13 drugs (average 7 drugs per patient). There were 122 potential drug-drug interactions found in this study, consisting of 43% potency of minor or non-significant, 52% potency of significant, 3% potency of serious, and 2% potency of contraindicated drug interactions. A total of 67% were pharmacodynamics and 33% were pharmacokinetics interactions. Dexamethasone, ketoprofen, ketorolac, furosemide, nifedipine, and enoxaparin were among drugs with highest frequency of potential drug interactions. Conclusion:Significant drug-drug interactions were prevalent in the ICU patients. This may be due to the complexity of the pharmacotherapies administered. The health professionals who provide care to these patients must be aware in order to identify and prevent possible drug events.  

scholarly journals Effectiveness of the Management of Drug-drug Interactions in Inpatients through the Drug Interaction Warning System and Clinical Pharmacy Activity at Lao Cai General Hospital

2021 ◽  
Vol 37 (2) ◽  
Author(s):  
Nguyen Thi Thuy An ◽  
Pham Van Thinh ◽  
Nguyen Thanh Hai ◽  
Nguyen Xuan Bach
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
General Hospital ◽  
Clinical Supervision ◽  
Clinical Pharmacy ◽  
Warning System ◽  
Study Results ◽  
Prescribing Practice ◽  
Lao Cai ◽  
Direct Feedback

In prescribing practice for inpatients, quickly detecting pairs of drug-drug interactions (DDIs) and providing prompt management when prescribing is of utmost importance in ensuring safe and rational use of drugs. Subjects and research methods: All prescriptions with DDIs warnings for inpatients from 1/1/2021 to 31/3/2021 on the residue reporting system at Lao Cai General Hospital. The research is designed as a cohort study. Results: In 3 months of implementing DDIs surveillance on the system of reporting, there were 214 times of DDIs occurring in 157 inpatients, of which 2 were contraindicated DDIs and 212 severe DDIs. Patients with DDIs have the mean age and number of diseases, respectively: 63.2 ± 17.5 (years) and 4.3 ± 1.87 (diseases). 2 patients with contraindicated DDIs of a clarithromycin-lovastatin pair received direct feedback from pharmacists to agree to cancel the prescription; Patients with severe DDIs are also discussed by pharmacists to agree on the most appropriate management for each patient, such as 77.83% of clinical supervision; 7.08% of replacement medicine; 2.83% of following up more tests; 1.89% of stopping using drugs. Conclusion: The DDIs warning system and clinical pharmacy activity have managed all pairs of DDIs that often occur on inpatients at Lao Cai General Hospital. Keywords Drug interaction warning system, clinical pharmacy activities, Lao Cai General Hospital. References  

Kajian Interaksi Obat Metformin pada Pasien Diabetes Mellitus

2019 ◽  
Vol 8 (2) ◽  
pp. 55-58
Author(s):  
Havizur Rahman ◽  
Teresia Anggi Octavia
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interaction ◽  
Data Collection ◽  
Drug Interactions ◽  
Degenerative Disease ◽  
Moderate Severity ◽  
Purposive Sampling ◽  
Chronic Degenerative Disease ◽  
Over Time ◽  
Diabetes Melitus

Diabetes melitus merupakan penyakit degeneratif kronis yang apabila tidak ditangani dengan tepat, lama kelamaan bisa timbul berbagai komplikasi, ini cenderung menyebabkan pasien mendapatkan banyak obat dalam satu resep yang dapat menimbulkan interaksi antar obat. Tujuan dari penelitian ini adalah mengetahui persentase terjadinya interaksi obat metformin secara teori serta mengkaji efek yang mungkin timbul dan solusinya. Teknik pengambilan data dengan purpossive sampling, yaitu resep pasien rujuk balik yang menderita diabetes mellitus yang menggunakan metformin. Data yang diperoleh ditemukan bahwa obat yang berinteraksi dengan metformin dengan tingkat keparahan minor ialah sebesar 60%. Kemudian untuk tingkat keparahan moderat ialah sebesar 20%. Sedangkan untuk tingkat keparahan mayor tidak ditemukan. Dari tabel diatas juga dapat diketahui bahwa terdapat 4 obat yang saling berinteraksi dengan metformin, sedangkan untuk obat yang tidak saling berinteraksi dengan metformin terdapat 9 obat. Jumlah obat yang berinteraksi secara teori sebesar 6,85% dan yang tidak berinteraksi 93,15%. Terdapat interaksi obat metformin dengan beberapa obat yaitu furosemid, lisinopril, acarbose dan ramipril.   Kata kunci: interaksi obat, metformin, diabetes mellitus   STUDY OF METFORMIN INTERACTION IN MELLITUS DIABETES PATIENTS   ABSTRACT Mellitus is a chronic degenerative disease which if not handled properly, over time can arise various complications, this tends to cause patients to get many drugs in one recipe that can cause interactions between drugs. The purpose of this study is to determine percentage of metformin drug interactions in theory and examine the effects that may arise and solutions. Data collection techniques using purposive sampling, which is a recipe for reconciliation patients who suffer from diabetes mellitus using metformin. The data obtained it was found that drugs that interact with metformin with minor severity were 60%. Then for moderate severity is 20%. Whereas the major severity was not found. From the table above it can also be seen that there are 4 drugs that interact with metformin, while for drugs that do not interact with metformin there are 9 drugs. The number of drugs that interacted theoretically was 6.85% and 93.15% did not interact. An interaction of the drug metformin with several drugs namely furosemide, lisinopril, acarbose and ramipril.   Keywords: drug interaction, metformin, diabetes mellitus

Pharmacokinetic Drug-drug Interaction of Antibiotics Used in Sepsis Care in China

2020 ◽  
Vol 21 ◽  
Author(s):  
Xuan Yu ◽  
Zixuan Chu ◽  
Jian Li ◽  
Rongrong He ◽  
Yaya Wang ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Penicillin G ◽  
Literature Mining ◽  
Human Pharmacokinetics ◽  
P450 Enzyme ◽  
Drug Drug Interaction ◽  
Pharmacokinetic Drug ◽  
Sepsis Care

Background: Many antibiotics have a high potential for having an interaction with drugs, as perpetrator and/or victim, in critically ill patients, and particularly in sepsis patients. Methods: The aim of this review is to summarize the pharmacokinetic drug-drug interaction (DDI) of 45 antibiotics commonly used in sepsis care in China. Literature mining was conducted to obtain human pharmacokinetics/dispositions of the antibiotics, their interactions with drug metabolizing enzymes or transporters, and their associated clinical drug interactions. Potential DDI is indicated by a DDI index > 0.1 for inhibition or a treated-cell/untreated-cell ratio of enzyme activity being > 2 for induction. Results: The literature-mined information on human pharmacokinetics of the identified antibiotics and their potential drug interactions is summarized. Conclusion: Antibiotic-perpetrated drug interactions, involving P450 enzyme inhibition, have been reported for four lipophilic antibacterials (ciprofloxacin, erythromycin, trimethoprim, and trimethoprim-sulfamethoxazole) and three lipophilic antifungals (fluconazole, itraconazole, and voriconazole). In addition, seven hydrophilic antibacterials (ceftriaxone, cefamandole, piperacillin, penicillin G, amikacin, metronidazole, and linezolid) inhibit drug transporters in vitro. Despite no reported clinical PK drug interactions with the transporters, caution is advised in the use of these antibacterials. Eight hydrophilic antibacterials (all β-lactams; meropenem, cefotaxime, cefazolin, piperacillin, ticarcillin, penicillin G, ampicillin, and flucloxacillin), are potential victims of drug interactions due to transporter inhibition. Rifampin is reported to perpetrate drug interactions by inducing CYP3A or inhibiting OATP1B; it is also reported to be a victim of drug interactions, due to the dual inhibition of CYP3A4 and OATP1B by indinavir. In addition, three antifungals (caspofungin, itraconazole, and voriconazole) are reported to be victims of drug interactions because of P450 enzyme induction. Reports for other antibiotics acting as victims in drug interactions are scarce.

scholarly journals Herb–Drug Interactions: Worlds Intersect with the Patient at the Center

Medicines ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 44
Author(s):  
Mary Beth Babos ◽  
Michelle Heinan ◽  
Linda Redmond ◽  
Fareeha Moiz ◽  
Joao Victor Souza-Peres ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Case Report ◽  
Drug Interactions ◽  
Clinical Studies ◽  
Drug Information ◽  
Case Reports ◽  
Full Information ◽  
Information Need ◽  
Herbal Products ◽  
Reduce Risk

This review examines three bodies of literature related to herb–drug interactions: case reports, clinical studies, evaluations found in six drug interaction checking resources. The aim of the study is to examine the congruity of resources and to assess the degree to which case reports signal for further study. A qualitative review of case reports seeks to determine needs and perspectives of case report authors. Methods: Systematic search of Medline identified clinical studies and case reports of interacting herb–drug combinations. Interacting herb–drug pairs were searched in six drug interaction resources. Case reports were analyzed qualitatively for completeness and to identify underlying themes. Results: Ninety-nine case-report documents detailed 107 cases. Sixty-five clinical studies evaluated 93 mechanisms of interaction relevant to herbs reported in case studies, involving 30 different herbal products; 52.7% of these investigations offered evidence supporting reported reactions. Cohen’s kappa found no agreement between any interaction checker and case report corpus. Case reports often lacked full information. Need for further information, attitudes about herbs and herb use, and strategies to reduce risk from interaction were three primary themes in the case report corpus. Conclusions: Reliable herb–drug information is needed, including open and respectful discussion with patients.

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