• Korean Journal of Clinical Pharmacy
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• v.27 no.4
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• pp.221-227
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• 2017

Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential. Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extracting meaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions (ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on text analysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text of KAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the whole text, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis are performed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Among total 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache, vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움, dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion: Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining in ADRs research is able to play an important role in detecting signal information and prediction of ADRs.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.278-284
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• 2007

Despite extensive researches and pre-market clinical trials, only limited information on the adverse drug reactions (ADRs) of a drug can be collected at the time of market approval from regulatory agency. ADRs constitute a major public health problem. Post-marketing surveillance of drugs is important to detect signals for ADR. In Korea, one of the main methods for monitoring the safety of marketed drugs is spontaneous reporting system of suspected ADRs. Re-examination and re-evaluation system are in force for monitoring safety of new market approval drugs and currently under marketing drugs, respectively. Recently, regional pharmacovigilance centers were designated from Korean Food and Drug Administration for facilitating ADR surveillance. Over recent years, with the development of information technology, there has been an increased interest in establishing data mining system for detecting signals from Health Insurance Review Agency database. The purpose of this paper is to review the current status of Korean ADR surveillance system and suggest the possible solutions for developing active pharmacovigilance system in Korea.

• Korean Journal of Clinical Pharmacy
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• v.27 no.3
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• pp.143-149
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• 2017

Background: L-asparaginase (L-ASP) is a critical agent for the treatment of acute lymphoblastic leukemia and lymphoma, which is associated with serious toxicities including hypersensitivity, pancreatitis and thrombosis. Methods: To evaluate the toxicity of L-ASP in real clinical settings, we included the patients with L-ASP adverse drug reactions (ADRs) reported in a regional pharmacovigilance center of Seoul St. Mary's hospital from January 2014 to December 2015. Results: A total of 83 cases of L-ASP related ADRs were reported in 54 patients. Of these 83 cases, 65 cases (78.3%, 65/83) were spontaneously reported and 18 cases (21.7%, 18/83) were detected by further medical records review. Of the patients with ADRs, pediatric patients accounted for 83.3% of the cases (45/54) and median age was 9 years. The most common clinical manifestations of ADRs were hematology manifestations (31.3%, 26/83), followed by hepatobiliary manifestations (18.1%, 15/83). Thirty-four serious ADRs were reported in 19 patients. The sserious ADR group showed significantly longer hospitalization and higher rate of discontinuation of L-ASP than the non-serious ADR group (p = 0.005, 0.03). The most common clinical manifestations of serious ADRs were hepatobiliary manifestations (41.2%, 14/34). In total, 8 cases (9.6%, 8/83) of unlabeled ADRs were identified. They were serious ADRs. Conclusion: We identified unlabeled serious ADRs of L-ASP. Also, correlations were observed between serious ADRs and length of hospitalization, discontinuation rate respectively. Further investigations and developed spontaneous ADR reporting systems are needed to evaluate these correlations.

• Korean Journal of Clinical Pharmacy
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• v.22 no.1
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• pp.41-46
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• 2012

Adverse drug reaction (ADR) is a global problem of major concern in health care. ADRs can be accrued in any organs or systems. However, cardiovascular ADRs could be a more serious problem if they are irreversible or severe. For this reason, this study was conducted to analyze pattern and severity of cardiovascular ADRs, and suspicious medication. Total 646 reports including cardiovascular ADRs reported to the KFDA between January and June 2010 were analyzed. Amlodipine besylate (36 reports, 3.3%), iopromide (29 reports, 2.7%), tramadol HCl (28 reports, 2.6%) were most suspicious drugs that occurred cardiovascular ADRs. The most common cardiovascular ADRs were hypotension( 236 reports, 33.1%), palpitation (134 reports, 18.8%), and hypertension (89 reports, 12.5%). The most frequent ADRs were occurred in the age group of more than 60. This result could be of help to prescribers and other healthcare providers to predict and prevent cardiovascular ADRs. Also this study suggested that patients with cardiovascular ADR risk factors should be intensively monitored during the medications.