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Original article
Pharmacology, Drug Therapy, and Toxicology
Characteristics and risk factors of serious adverse drug reactions in older patients using the Korea Adverse Event Reporting System data: a retrospective observational study
Minkyung Ohorcid
Journal of Yeungnam Medical Science 2025;42:66.
DOI: https://doi.org/10.12701/jyms.2025.42.66
Published online: October 22, 2025

Department of Pharmacology, Inje University College of Medicine, Busan, Korea

Corresponding author: Minkyung Oh, PhD Department of Pharmacology, Inje University College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan 47284, Korea Tel: +82-51-890-6176 • E-mail: Minkyung@inje.ac.kr
• Received: September 9, 2025   • Revised: October 14, 2025   • Accepted: October 20, 2025

© 2025 Yeungnam University College of Medicine, Yeungnam University Institute of Medical Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Older adults are vulnerable to adverse drug reactions (ADRs) owing to physiological changes, comorbidities, and polypharmacy. Nationwide evidence in Korean is limited. This study aimed to describe the characteristics of ADRs and identify the risk factors for serious outcomes using the Korea Adverse Event Reporting System (KAERS).
  • Methods
    KAERS reports from 2005 to 2015 were analyzed. Eligible cases were patients aged ≥65 years with causality assessed as certain, probable, or possible for orally administered drug. Serious ADRs were defined according to International Conference on Harmonization E2A and World Health Organization-Uppsala Monitoring Centre criteria. Descriptive statistics, chi-square tests, logistic regression, and disproportionality analyses were performed.
  • Results
    Of the 889,997 ADR reports, 118,023 involved older patients (mean age 73.6 years; 57.9% female). Organ disorders included gastrointestinal, skin, and nervous system disorders. The common drug classes were analgesics, antimicrobials, and antituberculosis drugs. Overall, 6.1% of ADRs were serious, mainly involving the hepatic and biliary systems, respiratory, and bleeding/coagulopathy. The highest proportions of serious ADRs involved antineoplastic and antithrombotic agents. In multivariable analysis, male sex was independently associated with serious outcomes (adjusted odds ratio, 1.33; 95% confidence interval, 1.24–1.43), while age group was not. Disproportionality analysis identified notable drug-organ class signals, including antimicrobials associated with application site disorders and antineoplastic agents associated with disorders.
  • Conclusion
    erious ADRs comprised 6.1% of reports in older Koreans. Antineoplastic and antithrombotic agents were strongly associated with serious outcomes and male sex was an independent risk factor. These results indicate a need for safer prescriptions and improved pharmacovigilance for older patients.
The global population is aging rapidly, and adverse drug reactions (ADRs) have become a major concern in geriatric medicine. Older adults are particularly vulnerable to ADRs owing to the physiological changes associated with aging, such as reduced renal and hepatic clearance, altered body composition, and increased pharmacodynamic sensitivity [1]. These age-related factors are in addition to the comorbidities and polypharmacy commonly observed in older adults [2]. Consequently, ADRs in older adults are more likely to lead to hospitalization, functional decline, organ failure, and death, placing a significant burden on patients, caregivers, and the healthcare system [3]. International studies have shown that ADRs account for ≤10% of hospitalizations in older adults, highlighting the clinical significance of ADRs [4].
Although South Korea has one of the fastest aging populations in the world [5], evidence of the national burden and characteristics of ADRs in older adults is limited. Existing Korean studies have primarily examined specific treatment groups or clinical settings [6] and have failed to provide a comprehensive understanding of drug safety issues in older adults. As the proportion of older adults is expected to increase, a more accurate understanding of the characteristics and outcomes of ADRs in older adults is urgently needed to inform patient safety planning and health policy development.
The Korea Adverse Event Reporting System (KAERS) is a nationwide pharmacovigilance database that collects data on suspected ADRs reported by healthcare professionals, pharmaceutical companies, and consumers. This system provides a valuable opportunity to analyze ADRs at the population level by capturing diverse drug classes and a wide range of clinical patterns. While voluntary reporting has inherent limitations such as underreporting and reporting bias, the data are essential to identify trends, characterize high-risk populations, and develop prevention strategies.
This study aimed to analyze reported ADRs in Korean patients aged ≥65 years using KAERS data collected over a 10-year period (2005–2015). Specifically, this study aimed to identify patient demographics and drug use patterns, the frequency and predictors of serious ADRs, and key clinical implications for improving medication safety in older adults. By providing a comprehensive overview of ADRs in this vulnerable population, this study aimed to provide evidence that can guide clinicians, policymakers, and pharmacovigilance systems toward safer prescriptions and monitoring for older adults.
Ethics statements: This study was approved by the Institutional Review Board (IRB) of Busan Paik Hospital (IRB No: 2016-0226), and the requirement for informed consent was waived.
1. Data source
This study used data from the KAERS, a nationwide spontaneous reporting database managed by the Korea Institute of Drug Safety and Risk Management. The KAERS collects voluntary reports of suspected ADRs from healthcare professionals, pharmaceutical companies, and consumers across Korea. Each report includes patient demographics, suspected drugs, concomitant medications, adverse events coded by World Health Organization (WHO) Adverse Reaction Terminology, and causality assessments.
2. Study population and inclusion criteria
We included reports submitted between January 1, 2005, and December 31, 2015. Eligible cases met the following criteria (Fig. 1): (1) patients aged ≥65 years at the time of ADR occurrence; (2) causality assessment classified as “certain,” “probable,” or “possible”; and (3) oral drug administration.
Serious ADRs were defined, in accordance with International Conference on Harmonization E2A [7] and WHO-Uppsala Monitoring Centre criteria [8], as any case that met at least one of the following conditions: death, a life-threatening event, hospitalization or prolongation of hospitalization, persistent or significant disability/incapacity, congenital anomaly, or other medically important condition.
3. Statistical analysis
Descriptive statistics were used to summarize the patient characteristics, implicated drugs, and reported system organ classes (SOCs). Categorical variables are expressed as frequencies and percentages, and continuous variables as mean±standard deviation or median (interquartile range [IQR]). Comparisons of serious versus nonserious ADRs by SOC and drug class were conducted using the chi-square or Fisher exact tests, as appropriate.
Multivariable logistic regression analysis was performed at the patient level to identify independent predictors of serious ADRs, including age group, sex, and the number of drugs. Odds ratios (ORs) and 95% confidence intervals (CIs) were also determined. In addition, a disproportionality analysis was conducted at the event level to explore potential drug–ADR signals. Reporting ORs (RORs) and proportional reporting ratios with 95% CIs were calculated for the selected drug–SOC pairs. Signals were defined when the lower limit of the 95% CI of the ROR exceeded one, and at least three cases were reported.
All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA) and R version 4.5.1 (R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was set at p<0.05.
1. Case selection
In total, 889,997 ADR reports were recorded in the KAERS database between 2005 and 2015. Among these, we included patients aged ≥65 years (209,381 reports, 23.5%). Within this subset, 199,770 reports were assessed as “certain,” “probable,” or “possible.” Finally, by selecting reports involving oral drug administration, a total of 118,023 ADR reports were identified. These reports constituted the final study population for the descriptive, comparative, and regression analyses (Fig. 1).
2. Report characteristics
In total, 60,529 older patients with oral ADRs were included in this study. Among them, 25,255 (42.1%) were male and 34,801 (57.9%) were female. The mean age was 73.6±6.2 years (median, 73 years; IQR, 69–78 years). By age group, 35,679 patients (60.1%) were 65–74 years old, 20,314 (34.2%) were 75–84 years old, and 3,371 (5.7%) were ≥85 years old. Regarding the number of drugs, 49,195 cases (81.3%) involved one drug, 10,186 (16.8%) involved two to four drugs, and 1,098 (1.9%) involved five or more drugs. The most frequently reported SOCs were gastrointestinal disorders (42,548 cases, 36.1%), skin and appendage disorders (18,306 cases, 15.5%), and central and peripheral nervous system disorders (15,086 cases, 12.8%). Other SOCs included general disorders (9,149, 7.8%), psychiatric disorders (8,539, 7.2%), metabolic and nutritional disorders (3,516, 3.0%), urinary system disorders (3,284, 2.8%), respiratory system disorders (2,910, 2.5%), liver and biliary system disorders (2,429, 2.1%), and platelet, bleeding, and clotting disorders (2,343, 2.0%). At Anatomical Therapeutic Chemical (ATC) level 2, the top drug classes were analgesics (N02; 24,332 cases, 20.7%), antibacterials for systemic use (J01; 8,866, 7.5%), antimycobacterials (J04; 8,425, 7.1%), anti-inflammatory and antirheumatic products (M01; 6,635, 5.6%), and antineoplastic agents (L01; 5,925, 5.0%). Other frequent classes included drugs for acid-related disorders (A02; 5,802, 4.9%), antithrombotic agents (B01; 5,292, 4.5%), psychoanaleptics (N06; 3,620, 3.1%), and psycholeptics (N05; 3,734, 3.2%). Causality assessment showed 2,949 cases (2.5%) classified as “certain,” 29,990 cases (25.4%) as “probable,” and 85,084 cases (72.1%) as “possible.” A total of 7,199 cases (6.1%) were classified as serious ADRs, whereas 110,824 (93.9%) were classified as nonserious ADRs. Among the serious ADRs, 4,119 (3.5%) involved hospitalization or prolonged hospitalization, 3,017 (2.6%) were other medically important conditions, 352 (0.3%) were life-threatening, 325 (0.3%) resulted in death, and 158 (0.1%) involved disability or functional impairment. No congenital anomalies were reported. According to the reporting source, the majority of ADR cases were reported by regional pharmacovigilance centers (100,304 cases, 85.0%), followed by manufacturers/importers (14,212, 12.0%), healthcare institutions (2,826, 2.4%), pharmacies (630, 0.5%), and public health centers (41, <0.1%). Direct reports from consumers (n=2) and others (n=5) were rare (Table 1).
3. Characteristics and risk factors of serious adverse drug reactions
Across the SOCs, the proportion of serious ADRs was statistically significant (p<0.0001). The highest proportions of serious cases were observed in liver and biliary system disorders (18.9%), platelet, bleeding and clotting disorders (12.0%), and respiratory system disorders (16.7%). Gastrointestinal disorders were the most frequently reported SOC (42,548 cases), with 932 serious ADRs (2.2%). At ATC drug class level 2, the frequency of serious ADRs was significantly different (p<0.0001). The proportion of serious ADRs was highest for antineoplastic agents (L01, 20.7%), followed by antithrombotic agents (B01, 14.5%), and antimycobacterials (J04, 7.6%). Analgesics (N02) accounted for the largest number of ADRs (24,332 cases), of which 659 (2.7%) were serious (Table 2).
In the univariable analysis, male sex (OR, 1.34; 95% CI, 1.25–1.44; p<0.0001) and the number of drugs (OR, 0.83; 95% CI, 0.79–0.87; p<0.0001) were significantly associated with serious ADRs, whereas age group was not statistically significant. Regarding the reporting source, manufacturers/importers (OR, 9.06; 95% CI, 8.36–9.81; p<0.0001), regional pharmacovigilance centers (OR, 0.15; 95% CI, 0.14–0.17; p<0.0001), and healthcare institutions (OR, 0.65; 95% CI, 0.48–0.88; p=0.0051) were statistically significant, while pharmacies, public health centers, and others were not. In the multivariable logistic regression with stepwise selection, male sex was significantly associated with serious ADRs (adjusted OR [aOR], 1.11; 95% CI, 1.03–1.19; p=0.0093) and the number of drugs showed an association with serious ADRs (aOR, 0.86; 95% CI, 0.82–0.90; p<0.0001). Regarding reporting source, manufacturers/importers (aOR, 8.58; 95% CI, 7.91–9.31; p<0.0001) was a statistically significant factor for serious ADRs (aOR, 0.15; 95% CI, 0.14–0.17; p<0.0001) (Table 3).
The distribution of seriousness differed according to causality assessment (p<0.0001). Among the reports classified as “certain,” “probable,” and “possible,” 7.1%, 7.3%, and 5.6% were serious, respectively (Table 4).
4. Disproportionality analysis
Disproportionality analysis identified representative drug–SOC pairs with elevated RORs. The top 10 signals are presented in Fig. 2. Notable associations included antibacterials for systemic use with application-site disorders (a, the number of reports in which both the drug and SOC were jointly reported=465), antiepileptics with nervous system disorders (a=4), immunosuppressants with neoplasms (a=9), and drugs for the treatment of bone diseases with musculoskeletal disorders (a=264). Additional signals were observed for diuretics with metabolic and nutritional disorders (a=1,650), anabolic agents with liver and biliary system disorders (a=12), antineoplastic agents with fetal disorders (a=3), sex hormones with female reproductive disorders (a=12), urologicals with male reproductive disorders (a=180), and thyroid therapy with endocrine disorders (a=207). All these drug–SOC combinations showed RORs with 95% CIs exceeding unity.
This study analyzed ADRs among older patients in Korea from 2005 to 2015 using the KAERS database. In total, 118,023 oral ADR reports were included, of which 6.1% were classified as serious. To the best of our knowledge, this is the first nationwide analysis focusing on oral ADRs in the elderly population in Korea.
The most frequently reported organ system disorders were gastrointestinal and skin disorders, whereas analgesics, antimicrobials, and antituberculosis drugs were the major drug classes. Serious ADRs were most frequently associated with hospitalization or prolonged hospitalization, followed by other medically important conditions, life-threatening events, and death. High proportions of serious ADRs were observed in liver and biliary system disorders, respiratory disorders, and bleeding/clotting disorders. Antineoplastic and antithrombotic agents showed the highest proportions of serious outcomes [4,9].
In the multivariable analysis, male sex was significantly associated with serious ADRs, whereas age group was not. The number of medications inversely correlated with serious outcomes, which may be partially explained by selective reporting or differences in drug class distribution. These results suggest that the risk of serious ADRs is influenced more by drug characteristics than by the number of drugs alone [1,2]. Our results are consistent with previous international reports that identified antineoplastic, antithrombotic, and anti-infective agents as high-risk drug classes in older adults [4,9,10]. Although previous studies focused on specific medications or clinical settings [11,12], this study provides a comprehensive overview of drug classes and organ systems.
A strength of this study is that it utilized a 10-year nationwide pharmacovigilance database and focused on the rapidly growing elderly population in Korea. However, the limitations include underreporting, reporting bias, and a lack of denominator data inherent in the voluntary reporting system [13]. Furthermore, this study included data up to 2015, which may not fully reflect current prescription trends. Nevertheless, the major drug classes and risk factors identified are expected to remain largely unchanged [14].
In conclusion, ADRs remain a significant problem in older patients, particularly those treated with antineoplastic and antithrombotic agents. Male sex was also found to be an independent risk factor. These findings highlight the need for strengthened pharmacovigilance and safe prescription practices in older patients in Korea.

Conflicts of interest

No potential conflict of interest relevant to this article was reported.

Funding

None.

Fig. 1.
Flow chart of study population selection. KAERS, Korea Adverse Event Reporting System.
jyms-2025-42-66f1.jpg
Fig. 2.
Forest plot of system organ class (SOC)-level adverse drug reaction signals with representative Anatomical Therapeutic Chemical (ATC) drug classes. ROR, reporting odds ratio; CI, confidence interval.
jyms-2025-42-66f2.jpg
Table 1.
Baseline characteristics of elderly oral ADR reports
Characteristic Data
Sex
 Male 25,255 (42.1)
 Female 34,801 (57.9)
Age (yr) 73.59±6.16
73 (69–78)
 65–74 35,679 (60.1)
 75–84 20,314 (34.2)
 ≥85 3,371 (5.7)
Number of drugs
 1 49,195 (81.3)
 2–4 10,186 (16.8)
 ≥5 1,098 (1.9)
Top 10 SOCs (by ADR count)
 Gastrointestinal system disorders 42,548 (36.1)
 Skin and appendage disorders 18,306 (15.5)
 Central and peripheral nervous system disorders 15,086 (12.8)
 Body as a whole–general disorders 9,149 (7.8)
 Psychiatric disorders 8,539 (7.2)
 Metabolic and nutritional disorders 3,516 (3.0)
 Urinary system disorders 3,284 (2.8)
 Respiratory system disorders 2,910 (2.5)
 Liver and biliary system disorders 2,429 (2.1)
 Platelet, bleeding, and clotting disorders 2,343 (2.0)
Top 10 ATC classes (level 2)
 N02 (Analgesics) 24,332 (20.7)
 J01 (Antibacterials for systemic use) 8,866 (7.5)
 J04 (Antimycobacterials) 8,425 (7.1)
 M01 (Antiinflammatory and antirheumatic products) 6,635 (5.6)
 L01 (Antineoplastic agents) 5,925 (5.0)
 A02 (Drugs for acid-related disorders) 5,802 (4.9)
 B01 (Antithrombotic agents) 5,292 (4.5)
 N05 (Psycholeptics) 3,734 (3.2)
 N06 (Psychoanaleptics) 3,620 (3.1)
Causality assessment
 Certain 2,949 (2.5)
 Possible 85,084 (72.1)
 Probable 29,990 (25.4)
Seriousness
 Nonserious ADR 110,824 (93.9)
 Serious ADR 7,199 (6.1)
Types of serious ADR
 Death 325 (0.3)
 Congenital anomaly 0 (0)
 Life-threatening 352 (0.3)
 Disability/functional impairment 158 (0.1)
 Hospitalization/prolongation 4,119 (3.5)
 Other medically important conditions 3,017 (2.6)
Reporting source
 Regional pharmacovigilance center 100,304 (85.0)
 Manufacturer/importer 14,212 (12.0)
 Healthcare institution 2,826 (2.4)
 Pharmacy 630 (0.5)
 Public health center 41 (0.0)
 Consumer 2 (0.0)
 Others 5 (0.0)

Values are presented as numbers, number (%), mean±standard deviation, or median (range), with all analyses performed excluding missing data.

ADR, adverse drug reaction; SOC, system organ class; ATC, anatomical therapeutic chemical.

Table 2.
Distribution of serious outcomes by SOCs and ATC classes
Classe Nonserious ADR Serious ADR Total p-value
Top 10 SOCs (by ADR count) <0.0001
 Gastrointestinal system disorders 41,616 (97.8) 932 (2.2) 42,548
 Skin and appendage disorders 17,117 (93.5) 1,189 (6.5) 18,306
 Central and peripheral nervous system disorders 14,483 (96.0) 603 (4.0) 15,086
 Body as a whole–general disorders 8,228 (89.9) 921 (10.1) 9,149
 Psychiatric disorders 8,246 (96.6) 293 (3.4) 8,539
 Metabolic and nutritional disorders 3,261 (92.8) 255 (7.3) 3,516
 Urinary system disorders 2,994 (91.2) 290 (8.8) 3,284
 Respiratory system disorders 2,423 (83.3) 487 (16.7) 2,910
 Liver and biliary system disorders 1,969 (81.1) 460 (18.9) 2,429
 Platelet, bleeding, and clotting disorders 2,062 (88.0) 281 (12.0) 2,343
Top 10 ATC classes (level 2) <0.0001
 N02 (Analgesics) 23,673 (97.3) 659 (2.7) 24,332
 J01 (Antibacterials for systemic use) 8,372 (94.4) 494 (5.6) 8,866
 J04 (Antimycobacterials) 7,789 (92.5) 636 (7.6) 8,425
 M01 (Antiinflammatory and antirheumatic products) 6,160 (92.8) 475 (7.2) 6,635
 L01 (Antineoplastic agents) 4,696 (79.3) 1,229 (20.7) 5,925
 A02 (Drugs for acid-related disorders) 5,595 (96.4) 207 (3.6) 5,802
 B01 (Antithrombotic agents) 4,523 (85.5) 769 (14.5) 5,292
 N05 (Psycholeptics) 3,536 (94.7) 198 (5.3) 3,734
 N06 (Psychoanaleptics) 3,522 (97.3) 98 (2.7) 3,620

Values are presented as number (%) or number only.

SOC, system organ class; ADR, adverse drug reaction; ATC, anatomical therapeutic chemical.

Table 3.
Factors associated with serious adverse drug reactions (multivariable logistic regression)
Factor Univariable analysis Multivariable analysis
OR (95% CI) p-value aOR (95% CI) p-value
Sex
 Female Reference <0.0001 0.0093
 Male 1.34 (1.25–1.44) 1.11 (1.03–1.19)
Age (yr) Reference
 65–74
 75–84 1.07 (0.99–1.16) 0.0771
 ≥85 1.00 (0.86–1.18) 0.9716
Reporting source 0.15 (0.14–0.17) <0.0001
 Regional pharmacovigilance center
 Manufacturer/importer 9.06 (8.36–9.81) <0.0001 8.58 (7.91–9.31) <0.0001
 Healthcare institution 0.65 (0.48–0.88) 0.0051
 Pharmacy 0.74 (0.44–1.27) 0.2767
 Public health center NE 0.9397
 Others NE 0.9455
Number of drugs 0.83 (0.79–0.87) <0.0001 0.86 (0.82–0.90) <0.0001

OR, odds ratio; CI, confidence interval, aOR, adjusted odds ratio; NE, not estimable.

Each reporting source category was analyzed as an independent binary variable (1=present, 0=absent). The consumer category (n=2) was merged into “Others.”

Table 4.
Causality assessment vs. seriousness status with serious ADRs
Causality assessment Nonserious ADR Serious ADR Total p-value
Certain 2,739 (92.88) 210 (7.12) 2,949 <0.0001
Possible 80,285 (94.36) 4,799 (5.64) 85,084
Probable 27,800 (92.70) 2,190 (7.30) 29,990
Total 110,824 (93.90) 7,199 (6.10) 118,023

Values are presented as number (%) or number only.

ADR, adverse drug reaction.

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      Related articles
      Characteristics and risk factors of serious adverse drug reactions in older patients using the Korea Adverse Event Reporting System data: a retrospective observational study
      Image Image
      Fig. 1. Flow chart of study population selection. KAERS, Korea Adverse Event Reporting System.
      Fig. 2. Forest plot of system organ class (SOC)-level adverse drug reaction signals with representative Anatomical Therapeutic Chemical (ATC) drug classes. ROR, reporting odds ratio; CI, confidence interval.
      Characteristics and risk factors of serious adverse drug reactions in older patients using the Korea Adverse Event Reporting System data: a retrospective observational study
      Characteristic Data
      Sex
       Male 25,255 (42.1)
       Female 34,801 (57.9)
      Age (yr) 73.59±6.16
      73 (69–78)
       65–74 35,679 (60.1)
       75–84 20,314 (34.2)
       ≥85 3,371 (5.7)
      Number of drugs
       1 49,195 (81.3)
       2–4 10,186 (16.8)
       ≥5 1,098 (1.9)
      Top 10 SOCs (by ADR count)
       Gastrointestinal system disorders 42,548 (36.1)
       Skin and appendage disorders 18,306 (15.5)
       Central and peripheral nervous system disorders 15,086 (12.8)
       Body as a whole–general disorders 9,149 (7.8)
       Psychiatric disorders 8,539 (7.2)
       Metabolic and nutritional disorders 3,516 (3.0)
       Urinary system disorders 3,284 (2.8)
       Respiratory system disorders 2,910 (2.5)
       Liver and biliary system disorders 2,429 (2.1)
       Platelet, bleeding, and clotting disorders 2,343 (2.0)
      Top 10 ATC classes (level 2)
       N02 (Analgesics) 24,332 (20.7)
       J01 (Antibacterials for systemic use) 8,866 (7.5)
       J04 (Antimycobacterials) 8,425 (7.1)
       M01 (Antiinflammatory and antirheumatic products) 6,635 (5.6)
       L01 (Antineoplastic agents) 5,925 (5.0)
       A02 (Drugs for acid-related disorders) 5,802 (4.9)
       B01 (Antithrombotic agents) 5,292 (4.5)
       N05 (Psycholeptics) 3,734 (3.2)
       N06 (Psychoanaleptics) 3,620 (3.1)
      Causality assessment
       Certain 2,949 (2.5)
       Possible 85,084 (72.1)
       Probable 29,990 (25.4)
      Seriousness
       Nonserious ADR 110,824 (93.9)
       Serious ADR 7,199 (6.1)
      Types of serious ADR
       Death 325 (0.3)
       Congenital anomaly 0 (0)
       Life-threatening 352 (0.3)
       Disability/functional impairment 158 (0.1)
       Hospitalization/prolongation 4,119 (3.5)
       Other medically important conditions 3,017 (2.6)
      Reporting source
       Regional pharmacovigilance center 100,304 (85.0)
       Manufacturer/importer 14,212 (12.0)
       Healthcare institution 2,826 (2.4)
       Pharmacy 630 (0.5)
       Public health center 41 (0.0)
       Consumer 2 (0.0)
       Others 5 (0.0)
      Classe Nonserious ADR Serious ADR Total p-value
      Top 10 SOCs (by ADR count) <0.0001
       Gastrointestinal system disorders 41,616 (97.8) 932 (2.2) 42,548
       Skin and appendage disorders 17,117 (93.5) 1,189 (6.5) 18,306
       Central and peripheral nervous system disorders 14,483 (96.0) 603 (4.0) 15,086
       Body as a whole–general disorders 8,228 (89.9) 921 (10.1) 9,149
       Psychiatric disorders 8,246 (96.6) 293 (3.4) 8,539
       Metabolic and nutritional disorders 3,261 (92.8) 255 (7.3) 3,516
       Urinary system disorders 2,994 (91.2) 290 (8.8) 3,284
       Respiratory system disorders 2,423 (83.3) 487 (16.7) 2,910
       Liver and biliary system disorders 1,969 (81.1) 460 (18.9) 2,429
       Platelet, bleeding, and clotting disorders 2,062 (88.0) 281 (12.0) 2,343
      Top 10 ATC classes (level 2) <0.0001
       N02 (Analgesics) 23,673 (97.3) 659 (2.7) 24,332
       J01 (Antibacterials for systemic use) 8,372 (94.4) 494 (5.6) 8,866
       J04 (Antimycobacterials) 7,789 (92.5) 636 (7.6) 8,425
       M01 (Antiinflammatory and antirheumatic products) 6,160 (92.8) 475 (7.2) 6,635
       L01 (Antineoplastic agents) 4,696 (79.3) 1,229 (20.7) 5,925
       A02 (Drugs for acid-related disorders) 5,595 (96.4) 207 (3.6) 5,802
       B01 (Antithrombotic agents) 4,523 (85.5) 769 (14.5) 5,292
       N05 (Psycholeptics) 3,536 (94.7) 198 (5.3) 3,734
       N06 (Psychoanaleptics) 3,522 (97.3) 98 (2.7) 3,620
      Factor Univariable analysis Multivariable analysis
      OR (95% CI) p-value aOR (95% CI) p-value
      Sex
       Female Reference <0.0001 0.0093
       Male 1.34 (1.25–1.44) 1.11 (1.03–1.19)
      Age (yr) Reference
       65–74
       75–84 1.07 (0.99–1.16) 0.0771
       ≥85 1.00 (0.86–1.18) 0.9716
      Reporting source 0.15 (0.14–0.17) <0.0001
       Regional pharmacovigilance center
       Manufacturer/importer 9.06 (8.36–9.81) <0.0001 8.58 (7.91–9.31) <0.0001
       Healthcare institution 0.65 (0.48–0.88) 0.0051
       Pharmacy 0.74 (0.44–1.27) 0.2767
       Public health center NE 0.9397
       Others NE 0.9455
      Number of drugs 0.83 (0.79–0.87) <0.0001 0.86 (0.82–0.90) <0.0001
      Causality assessment Nonserious ADR Serious ADR Total p-value
      Certain 2,739 (92.88) 210 (7.12) 2,949 <0.0001
      Possible 80,285 (94.36) 4,799 (5.64) 85,084
      Probable 27,800 (92.70) 2,190 (7.30) 29,990
      Total 110,824 (93.90) 7,199 (6.10) 118,023
      Table 1. Baseline characteristics of elderly oral ADR reports

      Values are presented as numbers, number (%), mean±standard deviation, or median (range), with all analyses performed excluding missing data.

      ADR, adverse drug reaction; SOC, system organ class; ATC, anatomical therapeutic chemical.

      Table 2. Distribution of serious outcomes by SOCs and ATC classes

      Values are presented as number (%) or number only.

      SOC, system organ class; ADR, adverse drug reaction; ATC, anatomical therapeutic chemical.

      Table 3. Factors associated with serious adverse drug reactions (multivariable logistic regression)

      OR, odds ratio; CI, confidence interval, aOR, adjusted odds ratio; NE, not estimable.

      Each reporting source category was analyzed as an independent binary variable (1=present, 0=absent). The consumer category (n=2) was merged into “Others.”

      Table 4. Causality assessment vs. seriousness status with serious ADRs

      Values are presented as number (%) or number only.

      ADR, adverse drug reaction.


      JYMS : Journal of Yeungnam Medical Science
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