Statin-associated lower urinary tract symptoms: data mining of the public version of the FDA adverse event reporting system, FAERS

被引:16
|
作者
Fujimoto, Mai [1 ]
Hosomi, Kouichi [1 ]
Takada, Mitsutaka [1 ]
机构
[1] Kinki Univ, Sch Pharm, Div Clin Drug Informat, Osaka, Japan
关键词
adverse event; statin; lower urinary tract symptoms (LUTS); FAERS; reporting odds ratio (ROR); OVERACTIVE BLADDER; SIGNAL-DETECTION; RISK-FACTORS; PREVALENCE; RHABDOMYOLYSIS; PERSPECTIVES; NOCTURIA;
D O I
10.5414/CP202033
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Objective: To examine the association between statin use and the risk of lower urinary tract symptoms (LUTS) in reports submitted to the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) between 2004 and 2011. Methods: Relevant reports in the FAERS were identified and analyzed. The reporting odds ratio (ROR) was used to detect spontaneous report signals, calculated using the case/non-case method. Cases were identified by the presence of reports of an adverse drug reaction (ADR) in which statins were the suspected drug. Non-cases were all the reports of the same reactions induced by drugs other than statins. The reporting odds ratio (ROR) and 95% confidential interval (CI) was calculated as a measure of disproportionality. Results: A total of 44,959,104 drug-reaction pairs was found in 2,681,739 reports. Significant RORs were found for both voiding (ROR; 1.16,95% CI; 1.10 - 1.23) and storage symptoms (ROR; 1.25, 95% CI; 1.20 - 1.30). Analysis of individual statins showed that rosuvastatin, atorvastatin, and lovastatin had significant disproportionality for voiding symptoms, while simvastatin, rosuvastatin, pravastatin, atorvastatin, pitavastatin, and lovastatin had significant disproportionality for storage symptoms. Of the four voiding symptoms, significant RORs were found for urine flow decrease and dysuria. Of the four storage symptoms, significant RORs were found for pollakiuria and nocturia. No fundamental differences in disproportionality were observed between genders. Conclusions: Analysis of the FAERS database showed small but reliable signals for LUTS in statin users. The mechanism responsible for these reactions is unknown. However, these adverse events should be monitored closely.
引用
下载
收藏
页码:259 / 266
页数:8
相关论文
共 50 条
  • [1] Statin-Associated Muscular and Renal Adverse Events: Data Mining of the Public Version of the FDA Adverse Event Reporting System
    Sakaeda, Toshiyuki
    Kadoyama, Kaori
    Okuno, Yasushi
    PLOS ONE, 2011, 6 (12):
  • [2] Data Mining of the Public Version of the FDA Adverse Event Reporting System
    Sakaeda, Toshiyuki
    Tamon, Akiko
    Kadoyama, Kaori
    Okuno, Yasushi
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2013, 10 (07): : 796 - 803
  • [3] Omeprazole- and Esomeprazole-associated Hypomagnesaemia: Data Mining of the Public Version of the FDA Adverse Event Reporting System
    Tamura, Takao
    Sakaeda, Toshiyuki
    Kadoyama, Kaori
    Okuno, Yasushi
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2012, 9 (05): : 322 - 326
  • [4] Cardiovascular toxicity profile of doxorubicin: data mining of the FDA adverse event reporting system (FAERS)
    Kattan, L.
    Cerbito, E.
    Dhulkifle, H.
    Korashy, H.
    Maayah, Z.
    CARDIOVASCULAR RESEARCH, 2024, 120
  • [5] FDA adverse event reports on statin-associated rhabdomyolysis
    Omar, MA
    Wilson, JP
    ANNALS OF PHARMACOTHERAPY, 2002, 36 (02) : 288 - 295
  • [6] Assessing fluoroquinolone-associated aortic aneurysm and dissection: Data mining of the public version of the FDA adverse event reporting system
    Meng, Long
    Huang, Jing
    Jia, Yuntao
    Huang, Huali
    Qiu, Feng
    Sun, Shusen
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2019, 73 (05)
  • [7] Atezolizumab and severe cutaneous adverse reactions: Data mining of the FDA Adverse Event Reporting System (FAERS) database
    Pecere, A.
    Bisinella, G. C.
    ANNALS OF ONCOLOGY, 2021, 32 : S1251 - S1251
  • [8] Adverse event profiles of dipeptidyl peptidase-4 inhibitors: data mining of the public version of the FDA adverse event reporting system
    Huang, Jing
    Jia, Yuntao
    Sun, Shusen
    Meng, Long
    BMC PHARMACOLOGY & TOXICOLOGY, 2020, 21 (01):
  • [9] Adverse event profiles of dipeptidyl peptidase-4 inhibitors: data mining of the public version of the FDA adverse event reporting system
    Jing Huang
    Yuntao Jia
    Shusen Sun
    Long Meng
    BMC Pharmacology and Toxicology, 21
  • [10] Hypersensitivity reactions to anticancer agents: Data mining of the public version of the FDA adverse event reporting system, AERS
    Kaori Kadoyama
    Akiko Kuwahara
    Motohiro Yamamori
    JB Brown
    Toshiyuki Sakaeda
    Yasushi Okuno
    Journal of Experimental & Clinical Cancer Research, 30