Pharmacovigilance study of beta adrenergic receptor antagonists in patients visiting department of medicine of a tertiary care hospital, Surendranagar, Gujarat, India

Trivedi, Madhav; Acharya, Tejas; Kotadiya, Fenilkumar; Vekariya, Ritesh; Mehta, Dimple S.

doi:10.18203/2319-2003.ijbcp20164086

Cited by 1 publication

(4 citation statements)

References 7 publications

(8 reference statements)

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“…The present study showed that 61-70 y age group patients were more prone to ADRs 15(28.845). these results are in accordance with the results of the study by Jayanthi et al,which revealed a higher incidence of ADRs in patients age greater than 60 [13].…”

Section: Discussionsupporting

confidence: 93%

“…A previous study by Madhavan trivedi et al, showed a high number of 34 moderate ADRs [14]. In contrast to the present study by Jayanthi et al showed a high number of mild ADRs [13].…”

Section: Discussioncontrasting

confidence: 88%

“…A study by Desai et al, revealed a high percentage of ADRs in male [12]. Another study conducted by Jayanthi et al, showed male predominance [13].…”

Section: Discussionmentioning

confidence: 97%

“…According to WHO-UMC scale out of 52 ADRs 6(11.53%) ADRs were certain, 6(11.53%) ADRs were possible and 40(76.925) ADRs were probable. A study by Jayanthi et al showed the most of the ADRs were probable [13].…”

Section: Discussionmentioning

confidence: 99%

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Polypharmacy Induced Drug Interactions, Adverse Drug Reactions (Adr) and Medication Errors in Tertiary Care South Indian Hospital

Siddarama¹,

Naidu²,

Joshisree³

et al. 2019

Int J Pharm Pharm Sci

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Objective: To study the pattern of drug interactions (DI) in our hospital and to identify whether it is associated with polypharmacy. To determine the level of severity of potential drug-drug interactions (PDDI), to detect, monitor and prevention of ADRs in the hospitalized patients and to identify the medication errors (ME). Methods: A prospective interventional study was conducted in a 300 bedded tertiary care South Indian hospital for a period of 6 mo. Prescriptions were analysed for PDDI using Micromedex software 2.2. The causality and severity of ADRs were assessed by using Naranjo’s, WHO UMC Scales and Hart wigs severity scales. ME was identified by review of patient drug charts. Results: Total 190 prescriptions were analyzed, in which 1028 drug interactions were seen. Out of which 718 were DDI, 198 DFI, 100 DEI, and 12 DTI were observed. More number of DI was seen in cardiovascular drugs, antibiotics followed by antacids and antiulcer agents. A total of 52 ADRs were identified in 43 patients. Diuretics, cardiovascular drugs were associated with a higher incidence of ADRs followed by Anti-Diabetic agents. 58 ME was seen in 190 prescriptions, among them omission error, prescribing errors and Wrong dose error was seen. Conclusion: Clinical pharmacist plays a potential role in the health care system in assisting the physician i.e. modifying the number of drugs taken, number of doses taken, medication adherence, identification of drug interactions, preventing, monitoring and detection of ADRs and identifying the medication errors.

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Section: Discussionsupporting

confidence: 93%

“…A previous study by Madhavan trivedi et al, showed a high number of 34 moderate ADRs [14]. In contrast to the present study by Jayanthi et al showed a high number of mild ADRs [13].…”

Section: Discussioncontrasting

confidence: 88%

“…A study by Desai et al, revealed a high percentage of ADRs in male [12]. Another study conducted by Jayanthi et al, showed male predominance [13].…”

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

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