scholarly journals Potential drug interactions analysis of COVID-19 patients at a hospital in West Java

2021 ◽  
Vol 17 (2) ◽  
pp. 182-197
Author(s):  
Larasati Arrum Kusumawardani ◽  
Nisa Maria ◽  
Yumna Nabila Fanani

Background: Treatment guidelines of COVID-19 are changing continuously by involving many off-label and various symptomatic or supportive drugs. The use of these various drugs might increase the patient’s risk of developing drug interactions. Objective: The study aimed to analyze potential drug-drug interactions in COVID-19 inpatients and the correlated factors. Method: A cross-sectional study was conducted in a hospital by using inpatients admitted from August-December 2020. Potential drug-drug interaction was analyzed by using Lex-Interact® software. Results: From 107 patients, the majority of them are in moderate severity-degree (98.1%), having comorbidities (93.5%), and polypharmacy (98.1%). The average of potential drug interactions was 8.47±8,04, with most of the interaction in risk rating C-monitor therapy. Major potential drug interactions found were prolongation of QT interval and disturbance of drug absorption in the gastrointestinal tract. A positive correlation occurred between drug interactions found and comorbidity (r=0.436), number of drugs per prescription (r=0.674), and length of stay (r=0.222) Conclusions: COVID-19 patient is at risk for developing potential drug interactions that can affect the patient's physiological condition and reduce drug effect. It is necessary to manage the medication schedule, therapy modification, administration route changing, dosage adjustment, and monitoring of effects that might occur because of the drug interactions. Keywords: drug interaction, COVID-19, inpatient, correlated factor

Author(s):  
MAKITE SIMON LATI ◽  
NYAMU GITONGA DAVID ◽  
ROSALINE NJERI KINUTHIA

Objective: To characterize the predictors of potential drug-drug interactions among adult diabetic hypertensive outpatients at Kenyatta National Hospital. Methods: This cross-sectional study collected and analyzed data on potential drug interactions from 104 diabetic hypertensive outpatients (aged ≥18 y) at the Department of Endocrinology Outpatient Clinic of Kenyatta National Hospital from 1st May 2019 to 31st August 2019. The main outcome measure was the prevalence of potential drug-drug interactions and their predictors among the study population. Results: There was a female preponderance (70.2%). The mean age of the study participants was 61.6 y (SD±10.8). The prevalence of potential drug interactions was high at 57.7%. The average number of drug interactions was one interacting pair per patient, with a majority of the prescriptions (81.0%) having moderate drug-drug interactions. Patients receiving>2 drugs were almost three times more likely to have drug-drug interaction compared to those prescribed ≤ 2 drugs (AOR=2.79; 95% CI: 1.11-7.28); p=0.029). Participants who were at stage 4 of hypertension were 2.5 times more likely to have a drug-drug interaction compared to the other stages of hypertension (AOR=2.52; 95% CI 1.31-4.89; p=0.007). Conclusion: Polypharmacy and stage 4 hypertension are independently associated with drug-drug interactions among patients with both diabetes and hypertension. Future studies should characterize the specific type of drug interactions and possible targets of minimization of drug-drug interactions.


Author(s):  
Fivy Kurniawati ◽  
Nanang Munif Yasin ◽  
Amila Dina ◽  
Sanses Atana ◽  
Sarah Nabila Hakim

Adverse Drug Reactions (ADRs) is one of the causes of patient’s prolonged length of stay in the hospital and drug interactions can be included as one of the causes of the cause of ADRs. ADR related to drug interactions is a clinical problem that requires proper prevention. This study aimed to identify potential drug interactions also identify adverse drug reactions (ADRs) related to drug interactions in hospitalized patients at Universitas Gadjah Mada Teaching Hospital. This cross-sectional study used retrospective data collection through patient’s medical records from January to June 2018. Patients included in this study were all patients who received therapy more than two kind of drugs simultaneously treated in hospital wards of Universitas Gadjah Mada Teaching Hospital, Yogyakarta, Indonesia. The data collected were then analyzed descriptively. Drug interactions were analyzed using Drug Interaction Facts 2012 and Stockley. ADRs were analyzed by monitoring documented effects of patients with potential drug interaction. There were 115 of 362 patients (31.8%) with potential drug interactions. The total numbers of potential interactions that occur were 182 interactions. The most potential type of interaction was the interaction with moderate severity, with 115 interactions (63.2%). The majority of drug interactions occur through unknown mechanisms (54.4%). Actual ADR occurs in 3.3% patients who were 2 pediatric patients and 4 geriatric patients. This study can be a reference for drug interactions and ADRs as well as guide for pharmacist and healthcare in providing the right medication.


PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0220248
Author(s):  
Fernanda Raphael Escobar Gimenes ◽  
Melissa Baysari ◽  
Scott Walter ◽  
Leticia Alves Moreira ◽  
Rhanna Emanuela Fontenele Lima de Carvalho ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
pp. 29-32
Author(s):  
Sanjib Bandyopadhyay ◽  
Kaushik Mitra ◽  
Dipankar Bhaumik ◽  
Saibal Das

Objective: This study was conducted to evaluate the potential drug-drug interactions (pDDIs) among patients admitted in a tertiary care hospital in India. Methods: This was anobservational and cross sectional study for 3 months. All the patients admitted in the general ward under Department of Medicine. Pre-structured proforma and patient’s charts were be used for data collection on the 2nd day of admission. For drug interactions, online ‘Medscape Drug Interaction Checker’ was used. Results: A total of 61 charts were screened. A total of 304 drugs with 57 different types were admitted to these patients (including all dosage forms and routes). The total number of pDDIs were 217, of them 69 were minor, 130 were significant and 18 were serious (including repetitions in different patients). There were 13 unique serious pDDIs. Conclusion: The incidence of pDDIs in our study was high. Controlled study to evaluate whether good clinical management of DDIs can reduce drug-related morbidity or mortality is needed. Keywords:Potential drug-drug interactions (pDDIs), adverse drug reactions (ADRs), poly-medication, hospitalization, pharmacokinetic and pharmacodynamics interactions.


2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Tainá Bastos dos Santos ◽  
Juliana Almeida de Oliveira ◽  
Luanny Cardoso Souza ◽  
Helena Ferraz Gomes ◽  
Dayana Carvalho Leite ◽  
...  

2017 ◽  
Vol 104 (4) ◽  
Author(s):  
Risha I. Patel, PharmD ◽  
Robert D. Beckett, PharmD, BCPS

Objective: The research sought to evaluate seven drug information resources, specifically designed for analyzing drug interactions for scope, completeness, and ease of use, and determine the consistency of content among the seven resources.Methods: A cross-sectional study was conducted where 100 drug-drug and drug-dietary supplement interactions were analyzed using 7 drug information resources: Lexicomp Interactions module, Micromedex Drug Interactions, Clinical Pharmacology Drug Interaction Report, Facts & Comparisons eAnswers, Stockley’s Drug Interactions (10th edition), Drug Interactions Analysis and Management (2014), and Drug Interaction Facts (2015). The interaction sample was developed based on published resources and peer input. Two independent reviewers gathered data for each interaction from each of the 7 resources using a common form.Results: Eighty-two drug-drug and 18 drug-dietary supplement interactions were analyzed. Scope scores were higher for Lexicomp Interactions (97.0%), Clinical Pharmacology Drug Interaction Report (97.0%), and Micromedex Drug Interactions (93.0%) compared to all other resources (p<0.05 for each comparison). Overall completeness scores were higher for Micromedex Drug Interactions (median 5, interquartile range [IQR] 4 to 5) compared to all other resources (p<0.01 for each comparison) and were higher for Lexicomp Interactions (median 4, IQR 4 to 5), Facts & Comparisons eAnswers (median 4, IQR 4 to 5), and Drug Interaction Facts (4, IQR 4 to 5) compared to all other resources, except Micromedex (p<0.05 for each comparison). Ease of use, in terms of time to locate information and time to gather information, was similar among resources. Consistency score was higher for Micromedex (69.9%) compared to all other resources (p<0.05 for each comparison).Conclusions: Clinical Pharmacology Drug Interaction Report, Lexicomp Interactions, and Micromedex Drug Interactions scored highest in scope. Micromedex Drug Interactions and Lexicomp Interactions scored highest in completeness. Consistency scores were overall low, but Micromedex Drug Interactions was the highest.


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