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

Author(s):  
Nguyen Thi Thuy An ◽  
Pham Van Thinh ◽  
Nguyen Thanh Hai ◽  
Nguyen Xuan Bach

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  

2021 ◽  
Vol 62 (6) ◽  
Author(s):  
Pham Phuong Lien ◽  
Tran Hoang Anh ◽  
Bui Thi My Anh

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%.


Author(s):  
M Yulis Hamidy ◽  
Dina Fauzia

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.  


2019 ◽  
Vol 8 (2) ◽  
pp. 55-58
Author(s):  
Havizur Rahman ◽  
Teresia Anggi Octavia

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


2020 ◽  
Vol 21 ◽  
Author(s):  
Xuan Yu ◽  
Zixuan Chu ◽  
Jian Li ◽  
Rongrong He ◽  
Yaya Wang ◽  
...  

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.


Medicines ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 44
Author(s):  
Mary Beth Babos ◽  
Michelle Heinan ◽  
Linda Redmond ◽  
Fareeha Moiz ◽  
Joao Victor Souza-Peres ◽  
...  

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.


2021 ◽  
Vol 11 (2) ◽  
pp. 253-255
Author(s):  
Sabarathinam Sarvesh ◽  
Preethi L ◽  
Haripritha Meganathan ◽  
M Arjun Gokulan ◽  
Dhivya Dhanasekaran ◽  
...  

Background: Concomitant administration of herbal medicine and conventional may lead to severe metabolism-oriented herb-drug interactions. However, detecting herb-drug interaction is expensive and higher time-consuming. Several computer-aided techniques have been proposed in recent years to predict drug interactions. However, most of the methods cannot predict herb-drug interactions effectively. Methods: Canonical SMILES of bioactive compounds was gathered from the PubChem online database, and its inhibition details were gathered PKCSM from the webserver. Results: By searching the bioactive compound name in the search bar of “The Herb-CYP450 Enzyme Inhibition Predictor online database” (HCIP- http://hcip.in/), it will provide the liver enzyme inhibition profile of the selected bioactive compound. For example; Guggulsterone:  CYP3A4 inhibitor.  Conclusion: The Herb-CYP450 Enzyme Inhibition Predictor online database is very peculiar and easy to determine the inhibition profile of the targeted bioactive compound. Keywords: CYP450; Enzyme inhibition; Bioactive Compounds; Online database; Herb-Drug Interaction


Author(s):  
Ni Made Susilawati ◽  
Eli Halimah ◽  
Siti Saidah

Drug interaction is a type of Drug-Related Problems (DRPs) that caneventually increase morbidity and mortality rates. CKD patients have asignificant risk of developing polypharmacy due to comorbid diseases andpharmacokinetics' alteration. The literature review was conducted byexploring all of the articles related to the drug interaction using druginteraction analysis program in CKD patients, which obtained from threedatabases, namely Google Scholar, PubMed, and Science Direct, usingseveral keywords combination. Based on the comprehensive reviewsconducted, it is known that the most common effects of antihypertensivedrug interactions in CKD patients are decreasing effects of antihypertensivedrugs, hypotension, and hyperkalemia. Handling management used for theemergence of potential drug interactions is based on the severity of the druginteractions and complete knowledge of the patients' clinical condition. Themanagement of drug interaction by monitoring blood pressure, diuresis, andpotassium levels; Monitor the related effect symptoms; Monitor the fluidand body weight; Monitor the kidney and heart function. On the conditionwhere the handling management of potential drug interactions is not carriedout, elevated morbidity and mortality rates are the risks of complicationsarising from the drug interactions.


2021 ◽  
Vol 15 (5) ◽  
pp. 1270-1275
Author(s):  
S. Ferdousmakan ◽  
Namitha K.B ◽  
M. Etesami

Objective: The present study is aimed at Medication Safety in Obstetrics and Gynecology Ward in Jayanagar General Hospital, Bangalore, India Methodology: It is a prospective observational study, conducted in the inpatient obstetrics and gynecology ward in Jayanagar General Hospital. The study was conducted for 6 months. CRF (Case record form) was designed to record the clinical profile and treatment pattern which contains patient demography, family history, past medication history, obstetric history and follow up and further medication safety was assessed in the patient according to WHO and US-FDA guidelines. The patient demographics and all medically relevant information were noted in a predefined data collection form. Alternatively, these case charts were reviewed for prescription legibility and completeness, unaccepted abbreviations, the capture of relevant information in case sheets, contraindication, drug interactions, and adverse drug events. Result: The data of 150 pregnant women admitted to obstetrics and gynecology ward for delivery related care during the period October 2018 to April 2019 were analyzed. It was observed that 20.67% had Hypertension, 14.67% had Gestational diabetes mellitus, and 8.67% had urinary tract infections as major comorbidities. Among the study population most of them 20.67% had oligohydramnios as a major pregnancy risk factor followed by 12% of preeclampsia and 3.33% of small for gestational age. A total of 1950 drugs were prescribed, and thus the average number of drugs per patient was 13.28. Iron, folic acid, calcium, and vitamins were the most frequently used drugs during the pregnancy. Category A drug constituted 623(54.50%) followed by category B drug 398(34.82%) out of 1950 drugs used in pregnant subjects. Another category C, D and X were 6.99%, 3.5% and 0.1% respectively. The most common drug interaction was found to be between Metronidazole and ondansetron, which may be due to high usage of tramadol and metoclopramide in pregnancy. Conclusion: Among the study patients most them 75.33% were in the age group of 21-30 years. Most of the 20.67% and 14.67% had hypertension and gestational diabetes mellitus as co- morbidities. On the review of 150 prescriptions, the average number of drugs prescribed was found to be 7.62. Iron, folic acid, calcium, and vitamins were the most frequently used drugs during the pregnancy. Most of the used drugs were from Category A (54.50%). Only 0.1% of the drug were from Category X. There were 183 possible risks of major potential drug interactions. The most common interaction was between Metronidazole and ondansetron. The majority of the drugs were prescribed as per FDA category A, the safest category during pregnancy. Keywords: Medication Safety, Obstetrics, Gynecology, pregnancy


Author(s):  
Mymoona Akhter

Use of complementary and alternative medicines (CAM) for preventive and therapeutic purposes has increased tremendously in the last two decades internationally. The manufacturers of these products are not required to submit proof of safety or efficacy to the Food and Drug Administration. As a result, the adverse effects and drug interactions associated with them are largely unknown. In this chapter, the author presents interactions of herbal medicines with other medicines (herbal or non-herbal). A large number of herbal drugs, including from single drug to a variety of mixtures have been used to treat kidney disorders. Herb-herb or herb drug interaction has been reported intensively during last decade, therefore it becomes important to keep an eye on the use of combination herbal therapy in order to avoid serious results because of interactions with each other. Due to the growing awareness about the interactions and side effects of herbal drugs/supplements over the past few years, regulatory bodies are working on these issues and pharmacopoeias are being developed for reference.


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