Study of potential drug interactions between prescribed drugs in geriatric patients attending outpatient department in a government tertiary care hospital in Maharashtra

Nishandar, Tushar B; Kale, Anand S.; Pise, Harshal N

doi:10.18203/2319-2003.ijbcp20162474

Cited by 4 publications

(4 citation statements)

References 8 publications

(9 reference statements)

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“…17 In this study, www.drugs.com software detected that 42.8% of the drug interaction mechanism was unknown followed by additives (38%) and antagonism (15.8%) which was in line to that of a study in Indian where 16.78% of the mechanism was unknown. 17 But, a study from Pakistan identified among the pharmacodynamics DDI, 80.6% were synergistic, 19.3% were additive or antagonistic in nature and 6.4% were having unknown in mechanism. 16 The degree of DDI findings indicated that the majority (50%) of the identified drug interaction was moderate, whereas 45.5% and 4.5% of the interactions were categorized as minor and major, respectively.…”

Section: Discussionsupporting

confidence: 87%

“…16 A study in India also showed that 42.8% of the drug interaction was pharmacokinetics and 29.62% was pharmacodynamics. 17 In this study, www.drugs.com software detected that 42.8% of the drug interaction mechanism was unknown followed by additives (38%) and antagonism (15.8%) which was in line to that of a study in Indian where 16.78% of the mechanism was unknown. 17 But, a study from Pakistan identified among the pharmacodynamics DDI, 80.6% were synergistic, 19.3% were additive or antagonistic in nature and 6.4% were having unknown in mechanism.…”

Section: Discussionsupporting

confidence: 87%

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Drug-Drug interaction among admitted patients at primary, district and referral hospitals’ medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia

et al. 2021

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Objectives: This study was aimed to assess the type, prevalence, characteristics of drug interaction and factors associated from admitted patients in medical wards at primary, district and referral hospitals in East Gojjam Zone, Amhara Regional State, Ethiopia. Methods: A facility-based retrospective cross-sectional study design was conducted among admitted patients in medical wards at different hospitals of East Gojjam Zone from September 2019 to February 2020. Patient-specific data were extracted from patient medical prescription papers using a structured data collection tool. Potential drug–drug interaction was identified using www.drugs.com as drug–drug interaction checker. Data were analyzed using SPSS version 23.0. To identify the explanatory predictors of potential drug–drug interaction, logistic regression analysis was done at a statistical significance level of p-value < 0.05. Results: Of the total 554 prescriptions, 51.1% were prescribed for females with a mean (±standard deviation) age of 40.85 ± 23.09 years. About 46.4% prescriptions of patients had one or more comorbid conditions, and the most frequent identified comorbid conditions were infectious (18.6%) and cardiac problems (6.3%) with 0.46 ± 0.499 average number of comorbid conditions per patient. Totally, 1516 drugs were prescribed with 2.74 ± 0.848 mean number per patient and range of 2–6. Two hundred and forty-two (43.7%) prescriptions had at least one potential drug–drug interaction, and it was found that 292 drug interactions were presented. Almost half of the drug–drug interaction identified was moderate (50%). Overall, the prevalence rate of drug–drug interaction was 43.7%. Older age (adjusted odds ratio = 8.301; 95% confidence interval (5.51–12.4), p = 0.000), presence of comorbidities (adjusted odds ratio = 1.72; 95% confidence interval (1.10–2.68), p = 0.000) and number of medications greater or equal to 3 (adjusted odds ratio = 2.69; 95% confidence interval (1.42–5.11), p = 0.000) were independent predictors for the occurrence of potential drug–drug interaction. Conclusion: The prevalence of potential drug–drug interaction among admitted patients was relatively high. Pharmacodynamic drug–drug interaction was the common mechanism of drug–drug interaction with moderate degree. Therefore, close follow-up of hospitalized patients is highly recommended.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 87%

Drug-Drug interaction among admitted patients at primary, district and referral hospitals’ medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia

et al. 2021

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“…This drug is one of the most common drug used in cardiovascular disorders, however due to its potential for an interaction with other drugs, its use must be continuously monitored for any adverse effects. The frequent use of aspirin and its potential for involvement in PDDIs has also been reported by Tushar et al in geriatric outpatients [ 14 ].…”

Section: Discussionmentioning

confidence: 74%

“…Studies conducted in elderly population at tertiary hospitals reported PDDIs of moderate severity to be the most prevalent [ 3 , 13 ]. Another study conducted in geriatrics in outpatient settings reported that most of the patients had PDDIs of major severity [ 14 ]. Similarly, studies conducted in ICU’s also reported moderate and major severity PDDIs to be among the most prevalent [ 15 , 16 ].…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of potential drug-drug interactions in elderly population admitted to critical care units of Peshawar, Pakistan

Shakeel

Aamir

Khan

et al. 2018

BMC Pharmacol Toxicol

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BackgroundAging population, is a reality in many countries because of improvement in the health care, patient safety and other supplemental factors. Pharmacotherapy in this population must be evaluated due to their higher susceptibility to adverse drug outcomes, like potential drug-drug interactions (PDDIs). Research in this regard is limited particularly in developing countries. The aim of the study was to evaluate the prevalence and associated factors in this population.MethodsThe multicentered study evaluated the prevalence of potential drug-drug interactions and associated factors in elderly population at critical care units in Peshawar, Pakistan. Potential drug-drug interactions were evaluated using Micromedex DrugReax, while statistical analysis was performed using SPSS.ResultsA total of 70.17% elderly patients were observed to have at least one PDDI. A significant association was observed between presence of PDDIs and number of prescribed drugs, duration of stay and age (p < 0.05). A total of 3019 PDDIs were observed, attributing to 225 drug pairs. Prevalent PDDIs were of moderate severity, good documentation and pharmacodynamic in nature. One-way ANOVA revealed a significant difference in the means of PDDIs between Northwest general hospital and the rest of the hospitals. Moreover, there was a significant difference in the means of PDDIs of CCU and SU with rest of the units.ConclusionThe prevalence of PDDIs was observed to be high in elderly population which can be managed by avoiding or managing a limited number of drug combinations. Such studies are necessary to evaluate the risks of these PDDIs in a population which is already physiologically compromised.Electronic supplementary materialThe online version of this article (10.1186/s40360-018-0276-4) contains supplementary material, which is available to authorized users.

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Risk factors for potential drug–drug interactions in patients with myasthenia gravis

Aleksić

Milosavljević

Stefanović

et al. 2021

Neurological Research

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Study of potential drug interactions between prescribed drugs in geriatric patients attending outpatient department in a government tertiary care hospital in Maharashtra

Cited by 4 publications

References 8 publications

Drug-Drug interaction among admitted patients at primary, district and referral hospitals’ medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia

Drug-Drug interaction among admitted patients at primary, district and referral hospitals’ medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia

Epidemiology of potential drug-drug interactions in elderly population admitted to critical care units of Peshawar, Pakistan

Risk factors for potential drug–drug interactions in patients with myasthenia gravis

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