BioMed Research International

BioMed Research International / 2017 / Article

Research Article | Open Access

Volume 2017 |Article ID 4304973 |

In Young Jung, Jung Ju Kim, Se Ju Lee, Jinnam Kim, Hye Seong, Wooyong Jeong, Heun Choi, Su Jin Jeong, Nam Su Ku, Sang Hoon Han, Jun Yong Choi, Young Goo Song, Jung Won Park, June Myung Kim, "Antibiotic-Related Adverse Drug Reactions at a Tertiary Care Hospital in South Korea", BioMed Research International, vol. 2017, Article ID 4304973, 7 pages, 2017.

Antibiotic-Related Adverse Drug Reactions at a Tertiary Care Hospital in South Korea

Academic Editor: Ronald E. Baynes
Received16 Oct 2017
Accepted19 Nov 2017
Published31 Dec 2017


Background. Adverse drug reactions (ADRs) are any unwanted/uncomfortable effects from medication resulting in physical, mental, and functional injuries. Antibiotics account for up to 40.9% of ADRs and are associated with several serious outcomes. However, few reports on ADRs have evaluated only antimicrobial agents. In this study, we investigated antibiotic-related ADRs at a tertiary care hospital in South Korea. Methods. This is a retrospective cohort study that evaluated ADRs to antibiotics that were reported at a 2400-bed tertiary care hospital in 2015. ADRs reported by physicians, pharmacists, and nurses were reviewed. Clinical information reported ADRs, type of antibiotic, causality assessment, and complications were evaluated. Results. 1,277 (62.8%) patients were considered antibiotic-related ADRs based on the World Health Organization-Uppsala Monitoring Center criteria (certain, 2.2%; probable, 35.7%; and possible, 62.1%). Totally, 44 (3.4%) patients experienced serious ADRs. Penicillin and quinolones were the most common drugs reported to induce ADRs (both 16.0%), followed by third-generation cephalosporins (14.9%). The most frequently experienced side effects were skin manifestations (45.1%) followed by gastrointestinal disorders (32.6%). Conclusion. Penicillin and quinolones are the most common causative antibiotics for ADRs and skin manifestations were the most frequently experienced symptom.

1. Introduction

Adverse drug reactions (ADRs) are any unwanted/uncomfortable effects from medication resulting in physical, mental, and functional injuries [1]. ADRs experienced by hospitalized patients are associated with increased morbidity and mortality, prolonged hospitalization, and increased medical expense [2]. For this reason, several studies have suggested that ADRs are a major public health concern [3].

Disease prevalence, economic status, culture, and ethnicity all contribute to different ADR patterns [4, 5]. The overall incidence of ADRs varies by study but ranges from 0.15% to 30% [1, 6]. In one study conducted at an Indian tertiary care hospital, antibiotics were responsible for 40.9% of ADRs [6]. An Australian tertiary center reported that antibiotics were related to 25% of ADRs [7]. Furthermore, previous studies have shown that 26.88% of ADRs are considered severe and that 99.47% required additional medical intervention [8].

Many observational studies have examined the incidence, pattern, and severity of ADRs, but most of these have been performed in America or Europe; reports on Asian countries are extremely rare [7, 9, 10]. Several South Korean reports have identified antibiotics as a leading cause of ADRs, but most are based on information from primary care center pharmacies, and data on ADRs related to antimicrobial agents reported from tertiary care hospitals are extremely rare.

Although a number of studies on ADRs caused by various drugs have been conducted, none have focused specifically on antibiotics. Therefore, in this study we investigated the frequency of antibiotic-related ADRs experienced at a tertiary health care hospital in South Korea.

2. Materials and Methods

2.1. Study Design

This was a retrospective cohort study based on reports from Yonsei University College of Medicine Severance Hospital, a tertiary health care hospital in Seoul, South Korea, from January 1 to December 31, 2015. Only antibiotic-related ADRs in hospitalized patients were analyzed. All antibiotics, whether administered concurrently or at a different time point, were evaluated for possibilities of ADRs and included in the analysis. Any cases of ADRs that might have been caused by concurrently administered drugs, other than antibiotics, were excluded from the analysis.

The following data were collected: date of reported ADR, age, gender, clinical manifestation, causal drug and brand name, route of administration, dates of administration and discontinuation, outcome (serious or not serious), recurrence, causality assessment, and dose-relationship. This study was approved by the Institutional Review Board (IRB) of Severance Hospital (IRB #4-2017-0307), and the need for written informed consent from all participants was waived by the approving IRB.

2.2. Definitions

Causality was classified into three categories: certain, probable, and possible based on the WHO-Uppsala Monitoring Center criteria [11, 12]. The severity of each ADR was classified as serious or nonserious [12]. Serious ADRs were defined as patients who experienced disability, prolonged hospitalization, life-threatening symptoms, or death [12]. Symptoms were classified according to symptom organ class (SOC) from the Medical Dictionary for Regulatory Activities (MedDRA) [13]. Defined daily dose (DDD) is the average maintenance dose per day for a drug used for its main purpose, as defined by the World Health Organization (WHO) [14]. Antimicrobial use density (AUD) describes the total antimicrobial use in DDD per 1,000 patient days of one drug class, as recommended by the WHO [14]. AUD was calculated as follows.AUD = (total antimicrobial use)/(DDD × patient days) × 1,000 [15, 16].

2.3. Collected Data and Reporting Sources

Severance Hospital is a 2400-bed tertiary care hospital and is one of the largest health care centers in South Korea. Severance was registered as a Regional Pharmacovigilance Center in 2006 and is using a computer-based pharmacovigilance monitoring system. ADR reporting is voluntary and can be reported by a physician, pharmacist, nurse, or patient who recognizes the ADR event. These voluntary reports are reviewed by the ADR-monitoring team, which includes a physician from the Department of Allergy and Clinical Immunology and a pharmacist. Then the clinical and demographic information of the reported ADR is stored in a pharmacovigilance system database and noted in the patient’s electronic medical record (EMR). The computerized system improves medication safety by alerting medical practitioners to drug allergies and any drug-drug interactions the patient experienced.

2.4. Data Analysis

Descriptive statistic procedures were performed to analyze the ADR cases. Categorical variables are presented as numbers and percentages. All statistical tests were performed using SPSS 18.0 (Statistical Package for the Social Sciences, Chicago, IL, USA).

3. Results

3.1. Demographic Data, Severity, and Causality

In total, 2,032 cases of antibiotic-related ADRs were reported during the study period. Of these, 1,277 (62.8%) were proven to be antibiotic-related based on the World Health Organization- (WHO-) Uppsala Monitoring Center criteria. The median age was 54 years (range 35–78), and 610 (47.8%) patients were male. Causality assessment based on WHO criteria revealed that 28 (2.2%) cases were certainly caused by antibiotics, 456 (35.7%) were probably caused by them, and 793 (62.1%) were possibly caused by them (Figure 1). A severity assessment confirmed 44 (3.4%) serious ADRs. Death or life-threatening events, hospital admission or prolonged hospital stay, or disability occurred in 2 cases (4.5%), 38 cases (86.3%), and 4 cases (9.0%), respectively.

3.2. Frequency of Antibiotic-Related ADRs and Symptoms

Penicillin and quinolones were the most frequent causes of ADRs, and both accounted for 204 cases (16%) (Table 1). Third-generation cephalosporins accounted for 190 cases (14.9%), second-generation cephalosporins accounted for 144 cases (11.3%), and glycopeptides accounted for 134 cases (10.5%).

AntibioticPatients, (%)Symptom organ classFrequency of  
ADRs, (%)

Penicillin204 (16)Skin and subcutaneous tissue 
88 (43.1) 
61 (29.9) 
22 (10.8)

Quinolone204 (16)Skin and subcutaneous tissue 
Nervous system
98 (48.0) 
66 (32.4) 
16 (7.8)

3rd cephalosporin190 (14.9)Skin and subcutaneous tissue 
86 (45.3) 
79 (41.6) 
18 (9.5)

2nd cephalosporin144 (11.3)Skin and subcutaneous tissue 
Nervous system
68 (47.2) 
53 (36.8) 
12 (8.3)

Glycopeptide134 (10.5)Skin and subcutaneous tissue 
Blood and lymphatic system
83 (61.9) 
24 (17.9) 
14 (10.4)

Metronidazole61 (4.8)Gastrointestinal 
Skin and subcutaneous tissue 
Nervous system
46 (75.4) 
12 (19.7) 
5 (8.2)

Antituberculosis medication61 (4.8)Skin and subcutaneous tissue 
33 (54.1) 
7 (11.5) 
6 (9.8) 
6 (9.8)

1st cephalosporin53 (4.2)Skin and subcutaneous tissue 
Nervous system
32 (60.4) 
18 (34.0) 
6 (11.3)

Carbapenem43 (3.4)Skin and subcutaneous tissue 
19 (44.2) 
10 (23.3) 
8 (18.6)

Antifungal33 (2.6)Allergic 
Skin and subcutaneous tissue 
12 (36.4) 
9 (27.3) 
6 (18.2)

Antiviral21 (1.6)Skin and subcutaneous tissue 
Blood and lymphatic system
8 (38.1) 
5 (23.8) 
3 (14.3)

Aminoglycoside20 (1.6)Skin and subcutaneous tissue 
Renal and urinary
12 (60.0) 
4 (20.0) 
2 (10.0)

Macrolide17 (1.3)Gastrointestinal 
Skin and subcutaneous tissue 
Nervous system
7 (41.2) 
5 (29.4) 
3 (17.6)

Sulfonamide16 (1.3)Gastrointestinal 
Skin and subcutaneous tissue 
Renal and urinary
9 (56.2) 
5 (31.2) 
2 (12.5)

4th cephalosporin16 (1.3)Skin and subcutaneous tissue 
Nervous system
9 (56.2) 
5 (31.2) 
3 (18.8)

Tetracycline13 (1)Gastrointestinal 
Skin and subcutaneous tissue
8 (61.5) 
2 (15.4)

Antimalarial12 (0.9)Skin and subcutaneous tissue 
Nervous system
5 (41.7) 
4 (33.3) 
4 (33.3)

Lincosamide9 (0.7)Skin and subcutaneous tissue 
7 (77.8) 
2 (22.2)

Polymyxin3 (0.2)Renal and urinary 
Skin and subcutaneous tissue
2 (66.7) 
1 (33.3)

Monobactam1 (0.1)Allergic 
Skin and subcutaneous tissue
1 (100) 
1 (100)

Linezolid1 (0.1)Blood and lymphatic system1 (100)

ADRs: adverse drug reactions.

The most common organ system affected by penicillin was the skin and subcutaneous tissue in 88 cases (43.1%), followed by the gastrointestinal system in 61 cases (29.9%) and immunological system in 22 cases (10.8%). Quinolones also commonly affected the skin and subcutaneous tissue (98 cases, 48%), followed by the gastrointestinal system (66 cases, 32.4%) and the nervous system (16 cases 7.8%). Third-generation cephalosporins resulted in skin and subcutaneous tissue reactions in 86 cases (45.3%), gastrointestinal reactions in 79 cases (41.6), and immunological reactions in 18 cases (9.5%). In particular, immunologic reactions, hypersensitivity (125 cases), anaphylaxis (10 cases), Stevens-Johnson syndrome (2 cases), and angioedema (9 cases) were identified.

3.3. Frequency of ADRs by Symptom and the Most Common Causative Antibiotics

Skin and subcutaneous tissue disorders were the most common clinical manifestation, occurring in 576 cases (45.1%), followed by gastrointestinal disorders, which occurred in 416 cases (32.6%) (Figure 2).

Quinolones (98 cases, 17%) and penicillin (88 cases, 15.3%) were the most common causative agents for skin and subcutaneous manifestations, followed by third-generation cephalosporins in 86 cases (14.9%) (Table 2). Gastrointestinal disorders were most often caused by third-generation cephalosporins (79 cases, 19.0%), followed by quinolones (66 cases, 15.9%) and penicillin (61 cases, 14.7%).

Symptom organ classPatients, (%)AntibioticsFrequency of ADRs, (%)

Skin and subcutaneous tissue disorders576 (45.1)Quinolone 
3rd cephalosporin
98 (17.0) 
88 (15.3) 
86 (14.9)

Gastrointestinal disorders416 (32.6)3rd cephalosporin 
79 (19.0) 
66 (15.9) 
61 (14.7)

Allergic disorders125 (9.8)Glycopeptide 
3rd cephalosporin
24 (19.2) 
22 (17.6) 
18 (14.4)

Nervous system disorders91 (7.1)Quinolone 
3rd cephalosporin 
2nd cephalosporin
16 (17.6) 
14 (15.4) 
12 (13.2)

Blood and lymphatic system disorders68 (5.3)Penicillin 
3rd cephalosporin
20 (29.4) 
14 (20.6) 
8 (11.8)

Cardiac disorders43 (3.4)Quinolone 
3rd cephalosporin 
2nd cephalosporin
8 (18.6) 
7 (16.3) 
7 (16.3)

General disorders and administration site conditions31 (2.4)Quinolone 
Antiviral agent
11 (61.1) 
2 (11.1)

Renal and urinary disorders24 (1.9)Glycopeptide 
Antifungal agent
5 (20.8) 
5 (20.8) 
3 (12.5)

Respiratory, thoracic, and mediastinal disorders23 (1.8)3rd cephalosporin 
Antifungal agent 
6 (26.1) 
5 (21.7) 
4 (17.4)

Hepatobiliary disorders23 (1.8)Anti-TB medication 
6 (26.1) 
3 (13.0) 
3 (13.0)

Eye disorder5 (0.4)Anti-TB medication 
4 (80.0) 
1 (20.0)

Psychiatric disorders4 (0.3)2nd cephalosporin 
2 (50.0) 
1 (25.0) 
1 (25.0)

Musculoskeletal and connective tissue disorders2 (0.2)Penicillin 
Antifungal agent
1 (50.0) 
1 (50.0)

ADRs: adverse drug reactions; TB: tuberculosis.
3.4. Antimicrobial Use Density (AUD) to Demonstrate Each Class of Antibiotics Usage

In our study, the antibiotic uses of penicillin were 2,179.2 AUDs, followed by third-generation cephalosporin and quinolone with AUDs of 1,277.8 and 837.9, respectively (Supplementary Table 1).

4. Discussion

Several South Korean reports have identified antibiotics as the most common cause of ADRs [17, 18]. However, most of these reports have been based on data from private clinics and pharmacies rather than tertiary care hospitals. Here, we report the antibiotic-related ADRs experienced at a tertiary care hospital.

In this study, 3.4% of patients experienced serious ADRs. One multicenter study conducted in 2009 covering six Regional Pharmacovigilance Centers in South Korea reported that 17.7% of ADRs were serious [18]. A meta-analysis reported that 6.7% of ADRs were serious and that 0.32% of ADRs were fatal [19]. However, it is difficult to compare these results with our study because the previous studies included nonantibiotics such as nonsteroidal anti-inflammatory drugs (NSAIDs) and radiocontrast media.

Antibiotics have been reported to be major causes of ADRs [20]. In a study that only included outpatients, sulfonamides followed by penicillin were reported to be the most common causative antibiotics [20]. Prior reports have shown that quinolones, ciprofloxacin in particular, are another common causative antibiotic [21]. This study shows that penicillin and quinolones were responsible for the majority of ADRs. These results are similar to several other South Korean reports [18, 22].

Geer et al. [6] reported that antituberculosis drugs accounted for 13.15% of all ADRs, and Maciel et al. [23] reported that up to 83.54% of ADRs were caused by antituberculosis drugs. In a study in Iran, gastrointestinal symptoms (22%) and hepatotoxicity (35.7%) were frequently experienced ADRs caused by antituberculosis drugs [24]. In this study, antituberculosis medications made up a smaller proportion (61 cases 4.8%) of ADRs; however, gastrointestinal reactions (11.5%) and hepatotoxicity (9.8%) were both common symptoms experienced in our study, which is similar to the results of previous studies. Isoniazid was accountable for nausea/vomiting in 2 cases, hepatobiliary disorders in 4 cases, and skin and subcutaneous tissue disorders in 8 cases, and 1 case was associated with anaphylaxis. Rifampin was accountable for nausea/vomiting, skin and subcutaneous tissue disorders, and allergic disorders in 3, 9, and 4 cases, respectively. 1 case was associated with rifampin induced Stevens-Johnson syndrome. Ethambutol ADRs were mostly associated with skin and subcutaneous tissue disorders (13 cases), and ethambutol induced optic neuritis was confirmed in 4 cases. The majority of pyrazinamide ADRs were also skin and subcutaneous tissue disorders, 5 cases.

Of all cutaneous ADRs considered in a previous study, antibiotics were the main cause (46.55%) [25]; in another study, antibiotics accounted for 48% of delayed cutaneous ADRs, 20% of which were purportedly due to glycopeptides and sulfonamides [26]. In particular, glycopeptides and sulfonamides were implicated in 20% of these ADRs [26]. In our study, 45.1% of skin and soft tissue ADRs were due to antimicrobial agents. Quinolones, penicillin, third-generation cephalosporins, and glycopeptides were the most common causative antibiotics for skin and subcutaneous-related ADRs. The difference in causative antibiotics may be explained by the ethnicities included in each study [5]. Further studies on the mechanisms behind causative antibiotics and reactions are needed.

Penicillin allergies are more common in females [27], as is the frequency of ADRs [28]. We also found a slight female predominance in our study (47.8% of patients who experienced ADRs were male).

There were several limitations to our study. First, it was a single-center study and lacked reports from private clinics and other Asian countries. Further studies regarding antibiotics and ADRs are necessary to validate our results and provide more generalizable data covering all Asian countries. Second, reports of ADRs are voluntary at our hospital, so many cases could have gone unreported. Third, only data on hospitalized patients were collected; ADRs of outpatients were not included in the study. Finally, DDD is a unit of measurement and does not necessarily reflect the recommended dose or prescribed daily dose (PDD). The PDD for each class of antibiotic was not reported by the pharmacovigilance monitoring system used in this study. As there is a known discrepancy between the PDD and the daily DDD, further validation by PDDs would be necessary for accurate comparisons between antibiotics.

5. Conclusions

In conclusion, penicillin and quinolones were the most common antibiotic causes of ADRs. The most frequently experienced clinical feature was skin manifestations. These findings may help identify patterns and causative antibiotics of ADRs in Asian countries.

Conflicts of Interest

The authors declare they have no conflicts of interest.

Authors’ Contributions

Nam Su Ku and Jung Won Park contributed equally to this article.


This research was supported by a grant from the Ministry of Food and Drug Safety for the operation of the Regional Pharmacovigilance Center in 2017.

Supplementary Materials

Supplementary Table 1. Uses of antibiotics during study period, describing the antimicrobial use density (AUD) for each class of antibiotics to demonstrate antibiotics usage during the study period. AUD was a defined daily dose (DDD) per 1,000 patient days. DDD is the average maintenance dose per day for a drug used for its main purpose, as defined by the World Health Organization (WHO). AUD was calculated as (total antimicrobial use)/(DDD × patient days) × 1,000 with reference to prior studies. (Supplementary Materials)


  1. D. W. Bates, “Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group,” Journal of the American Medical Association, vol. 274, no. 1, pp. 29–34. View at: Publisher Site | Google Scholar
  2. D. C. Classen, “Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality,” Journal of the American Medical Association, vol. 277, no. 4, pp. 301–306. View at: Publisher Site | Google Scholar
  3. C. Lacoste-Roussillon, “Incidence of serious adverse drug reactions in general practice: A prospective study,” Clinical Pharmacology & Therapeutics, vol. 69, no. 6, pp. 458–462, 2001. View at: Publisher Site | Google Scholar
  4. S. L. Chan, S. Jin, M. Loh, and L. R. Brunham, “Progress in understanding the genomic basis for adverse drug reactions: a comprehensive review and focus on the role of ethnicity,” Pharmacogenomics, vol. 16, no. 10, pp. 1161–1178, 2015. View at: Publisher Site | Google Scholar
  5. E. Eliasson, “Ethnicity and adverse drug reactions,” BMJ, vol. 332, no. 7551, pp. 1163-1164, 2006. View at: Publisher Site | Google Scholar
  6. M. Geer, P. Koul, S. Tanki, and M. Shah, “Frequency, types, severity, preventability and costs of Adverse Drug Reactions at a tertiary care hospital,” Journal of Pharmacological and Toxicological Methods, vol. 81, pp. 323–334, 2016. View at: Publisher Site | Google Scholar
  7. J. A. Trubiano, K. A. Cairns, J. A. Evans et al., “The prevalence and impact of antimicrobial allergies and adverse drug reactions at an Australian tertiary centre,” BMC Infectious Diseases, vol. 15, no. 1, 2015. View at: Publisher Site | Google Scholar
  8. S. Sharma, V. Khajuria, V. Mahajan, Z. Gillani, . Richa, and V. Tandon, “Adverse drug reactions profile of antimicrobials: A 3-year experience, from a tertiary care teaching hospital of India,” Indian Journal of Medical Microbiology, vol. 33, no. 3, p. 393, 2015. View at: Publisher Site | Google Scholar
  9. A. K. Jha, G. J. Kuperman, E. Rittenberg, J. M. Teich, and D. W. Bates, “Identifying hospital admissions due to adverse drug events using a computer-based monitor,” Pharmacoepidemiology and Drug Safety, vol. 10, no. 2, pp. 113–119, 2001. View at: Publisher Site | Google Scholar
  10. R. S. Evans, J. F. Lloyd, G. J. Stoddard, J. R. Nebeker, and M. H. Samore, “Risk Factors for Adverse Drug Events: A 10-Year Analysis,” Annals of Pharmacotherapy, vol. 39, no. 7-8, pp. 1161–1168, 2005. View at: Publisher Site | Google Scholar
  11. M. Helling and J. Venulet, “Drug recording and classification by the WHO research centre for international monitoring of adverse reactions to drugs,” Methods of Information in Medicine, vol. 13, no. 3, pp. 169–178, 1974. View at: Google Scholar
  12. I. R. Edwards and J. K. Aronson, “Adverse drug reactions: definitions, diagnosis, and management,” The Lancet, vol. 356, no. 9237, pp. 1255–1259, 2000. View at: Publisher Site | Google Scholar
  13. G. Ozcan, E. Aykac, Y. Kasap, N. T. Nemutlu, E. Sen, and N. D. Aydinkarahaliloglu, “Adverse Drug Reaction Reporting Pattern in Turkey: Analysis of the National Database in the Context of the First Pharmacovigilance Legislation,” Drugs - Real World Outcomes, vol. 3, no. 1, pp. 33–43, 2016. View at: Publisher Site | Google Scholar
  14. W. H. Organization, WHO Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC classification and DDD assignment, Oslo, Norway, 2017.
  15. J. Yoshida, Y. Harada, T. Kikuchi, I. Asano, T. Ueno, and N. Matsubara, “Does antimicrobial use density at the ward level influence monthly central line-associated bloodstream infection rates?” Infection and Drug Resistance, p. 331. View at: Publisher Site | Google Scholar
  16. S. Murata, T. Mushino, H. Hosoi et al., “Real-time monitoring of antimicrobial use density to reduce antimicrobial resistance through the promotion of antimicrobial heterogeneity in a haematology/oncology unit,” Journal of Antimicrobial Chemotherapy, vol. 70, no. 9, pp. 2661–2664, 2015. View at: Publisher Site | Google Scholar
  17. H. Kwon, S. Lee, S. Kim et al., “Spontaneously Reported Hepatic Adverse Drug Events in Korea: Multicenter Study,” Journal of Korean Medical Science, vol. 27, no. 3, p. 268, 2012. View at: Publisher Site | Google Scholar
  18. Y. S. Shin, Y. Lee, Y. H. Choi et al., “Spontaneous reporting of adverse drug events by Korean regional pharmacovigilance centers,” Pharmacoepidemiology and Drug Safety, vol. 18, no. 10, pp. 910–915, 2009. View at: Publisher Site | Google Scholar
  19. J. Lazarou, B. H. Pomeranz, and P. N. Corey, “Incidence of adverse drug reactions in hospitalized patients: a meta- analysis of prospective studies,” The Journal of the American Medical Association, vol. 279, no. 15, pp. 1200–1205, 1998. View at: Publisher Site | Google Scholar
  20. E. Macy and T. Poon K-Y, “Self-reported Antibiotic Allergy Incidence and Prevalence: Age and Sex Effects,” American Journal of Medicine, vol. 122, no. 8, pp. 778.e1–778.e7, 2009. View at: Publisher Site | Google Scholar
  21. J. L. Basko-Plluska, J. P. Thyssen, and P. C. Schalock, “Cutaneous and systemic hypersensitivity reactions to metallic implants,” Dermatitis, vol. 22, no. 2, pp. 65–79, 2011. View at: Publisher Site | Google Scholar
  22. J. Lee, K. H. Park, H. J. Moon, Y. W. Lee, J. Park, and C. Hong, “Spontaneous Reporting of Adverse Drug Reactions through Electronic Submission from Regional Society Healthcare Professionals in Korea,” Yonsei Medical Journal, vol. 53, no. 5, p. 1022, 2012. View at: Publisher Site | Google Scholar
  23. E. L. Maciel, L. M. Guidoni, and J. L. Favero, “Adverse effects of the new tuberculosis treatment regimen recommended by the Brazilian Ministry of Health,” Jornal Brasileiro de Pneumologia, vol. 36, pp. 232–238, 2010. View at: Publisher Site | Google Scholar
  24. A. Farazi, M. Sofian, M. Jabbariasl, and S. Keshavarz, “Adverse Reactions to Antituberculosis Drugs in Iranian Tuberculosis Patients,” Tuberculosis Research and Treatment, vol. 2014, pp. 1–6, 2014. View at: Publisher Site | Google Scholar
  25. K. Doshi, R. Yegnanarayan, and N. Gokhale, “A Retrospective Study of Drug Induced Cutaneous Adverse Reactions (CADR) in Patients Attending Tertiary Care Hospital,” Current Drug Safety, vol. 11, no. 999, pp. 1–1, 2016. View at: Publisher Site | Google Scholar
  26. J. A. Trubiano, A. K. Aung, M. Nguyen et al., “A Comparative Analysis Between Antibiotic- and Nonantibiotic-Associated Delayed Cutaneous Adverse Drug Reactions,” The Journal of Allergy and Clinical Immunology: In Practice, vol. 4, no. 6, pp. 1187–1193, 2016. View at: Publisher Site | Google Scholar
  27. M. A. Park, D. Matesic, P. J. Markus, and J. T. Li, “Female sex as a risk factor for penicillin allergy,” Annals of Allergy, Asthma & Immunology, vol. 99, no. 1, pp. 54–58, 2007. View at: Publisher Site | Google Scholar
  28. C. Domecq, C. A. Naranjo, I. Ruiz, and U. Busto, “Sex-related variations in the frequency and characteristics of adverse drug reactions,” International Journal of Clinical Pharmacology, Therapy, and Toxicology, vol. 18, no. 8, pp. 362–366, 1980. View at: Google Scholar

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