Retrospective cohort study of ocular adverse reactions to systemic drugs: insights from a multi-country spontaneous reporting database.
Abstract
[BACKGROUND] With the rise in long-term medication use, assessing ocular adverse reactions (OARs) from systemic drugs has gained importance. Using large real-world databases like the FDA Adverse Event Reporting System (FAERS) offers valuable clinical and pharmacovigilance insights.
[METHODS] Disproportionality analysis, including the ratio of reported odds (ROR), was performed on all OAR reports related to systemic medications in the FAERS database from 2004 Q1 to 2024 Q3. The OARs were categorized into disease-based and symptom-based classifications to identify systemic medications with positive signals.
[RESULTS] In the FAERS database, the most common OARs were cataract, dry eye, and glaucoma, with blurred vision, visual impairment, and eye pain as the leading symptoms. Through disproportionality analysis, 141 systemic medications with positive signal drugs for OAR risks were identified, which were concentrated in the following categories: antineoplastic medication [30 drugs, belantamab mafodotin ROR (95% confidence interval): 59.59 (56.25-63.13)], central nervous system medication [21 drugs, fingolimod, 2.69 (2.63-2.75)], anti-infective medication [15 drugs, moxifloxacin, 6.52 (6.21-6.84)], immunological and inflammation-related medication [15 drugs, dupilumab, 4.74 (4.7-4.79)], cardiovascular system medication [10 drugs, ivabradine, 3.06 (2.61-3.58)], endocrine and metabolic disease medication [10 drugs, insulin lispro, 3.63 (3.4-3.89)], respiratory system medication [6 drugs, telithromycin, 3.51 (3.14-3.93)], and other medication [34 drugs, botulinum toxin type A, 4.24 (4.12-4.36)].
[CONCLUSION] This pharmacovigilance study underscores the importance of identifying under-recognized OARs from systemic drugs to prevent secondary eye diseases and improve drug safety.
[METHODS] Disproportionality analysis, including the ratio of reported odds (ROR), was performed on all OAR reports related to systemic medications in the FAERS database from 2004 Q1 to 2024 Q3. The OARs were categorized into disease-based and symptom-based classifications to identify systemic medications with positive signals.
[RESULTS] In the FAERS database, the most common OARs were cataract, dry eye, and glaucoma, with blurred vision, visual impairment, and eye pain as the leading symptoms. Through disproportionality analysis, 141 systemic medications with positive signal drugs for OAR risks were identified, which were concentrated in the following categories: antineoplastic medication [30 drugs, belantamab mafodotin ROR (95% confidence interval): 59.59 (56.25-63.13)], central nervous system medication [21 drugs, fingolimod, 2.69 (2.63-2.75)], anti-infective medication [15 drugs, moxifloxacin, 6.52 (6.21-6.84)], immunological and inflammation-related medication [15 drugs, dupilumab, 4.74 (4.7-4.79)], cardiovascular system medication [10 drugs, ivabradine, 3.06 (2.61-3.58)], endocrine and metabolic disease medication [10 drugs, insulin lispro, 3.63 (3.4-3.89)], respiratory system medication [6 drugs, telithromycin, 3.51 (3.14-3.93)], and other medication [34 drugs, botulinum toxin type A, 4.24 (4.12-4.36)].
[CONCLUSION] This pharmacovigilance study underscores the importance of identifying under-recognized OARs from systemic drugs to prevent secondary eye diseases and improve drug safety.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | botulinum toxin
|
보툴리눔독소 주사 | dict | 1 | |
| 해부 | ocular
|
scispacy | 1 | ||
| 해부 | eye
|
scispacy | 1 | ||
| 약물 | moxifloxacin
|
C0536495
moxifloxacin
|
scispacy | 1 | |
| 약물 | ivabradine
|
C0257190
ivabradine
|
scispacy | 1 | |
| 약물 | lispro
|
C0293359
insulin lispro
|
scispacy | 1 | |
| 약물 | telithromycin
|
C0907410
telithromycin
|
scispacy | 1 | |
| 약물 | [BACKGROUND]
|
scispacy | 1 | ||
| 약물 | FDA
|
scispacy | 1 | ||
| 약물 | [RESULTS]
|
scispacy | 1 | ||
| 약물 | [21 drugs
|
scispacy | 1 | ||
| 약물 | fingolimod
|
scispacy | 1 | ||
| 질환 | ocular adverse reactions
|
scispacy | 1 | ||
| 질환 | cataract
|
C0086543
Cataract
|
scispacy | 1 | |
| 질환 | dry
|
C0011682
Desiccation
|
scispacy | 1 | |
| 질환 | glaucoma
|
C0017601
Glaucoma
|
scispacy | 1 | |
| 질환 | blurred vision
|
C0344232
Blurred vision
|
scispacy | 1 | |
| 질환 | visual impairment
|
C0042798
Low Vision
|
scispacy | 1 | |
| 질환 | pain
|
C0030193
Pain
|
scispacy | 1 | |
| 질환 | metabolic disease
|
C0025517
Metabolic Diseases
|
scispacy | 1 | |
| 질환 | OARs
→ ocular adverse reactions
|
scispacy | 1 | ||
| 질환 | OAR
|
scispacy | 1 | ||
| 기타 | ROR
→ reported odds
|
scispacy | 1 | ||
| 기타 | insulin lispro
|
scispacy | 1 |
MeSH Terms
Humans; Adverse Drug Reaction Reporting Systems; Databases, Factual; Retrospective Studies; Pharmacovigilance; Eye Diseases; Drug-Related Side Effects and Adverse Reactions; Female; Male; Middle Aged; Aged; Adult; United States
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