Int. Journal of Clinical Pharmacology and Therapeutics, Volume 61 (2023) - January (33 - 36)

Trends in tolvaptan prescription and the association between hypernatremia and aging in tolvaptan-treated patients in Japan: Real-world data mining using Japanese databases

Takaya Uno1, 2, Kouichi Hosomi2, Satoshi Yokoyama2, Kazuyoshi Kawabata1
1 Department of Pharmacy, National Cerebral and Cardiovascular Center, Suita, and 2 Division of Clinical Drug Informatics, Faculty of Pharmacy, Kindai University, Higashi-Osaka, Japan

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DOI 10.5414/CP204307

Abstract

Objective: To identify the trends in tolvaptan prescription and the association between aging and tolvaptan-induced hypernatremia.

Materials and methods: A health insurance claims database and a spontaneous adverse drug reaction database were used.

Results: Of all patients who had been prescribed tolvaptan, the proportion of patients aged 60 – 79 years and ≥ 80 years was consistent at ~ 40%. Moreover, the prescription frequency of tolvaptan increased over time for patients in the same age groups. The adjusted reporting odds ratio of tolvaptan-induced hypernatremia was 5.54 (95% confidence interval, 3.31 – 9.25) in patients aged ≥ 60 years from among all patients and 2.09 (95% confidence interval, 1.59 – 2.75) in those aged ≥ 80 years from among those aged ≥ 60 years.

Conclusion: It may be necessary to be aware of hypernatremia in elderly patients who are expected to have increased prescriptions of tolvaptan.

Author Details

Authors

Departments

  • 1 Department of Pharmacy, National Cerebral and Cardiovascular Center, Suita, and
  • 2 Division of Clinical Drug Informatics, Faculty of Pharmacy, Kindai University, Higashi-Osaka, Japan

Address

Takaya Uno, PhD

Department of Pharmacy

National Cerebral and Cardiovascular Center

564-8565, Suita, Osaka, Japan
Email: [email protected]

Citation

Takaya Uno, Kouichi Hosomi, Satoshi Yokoyama, Kazuyoshi Kawabata.Trends in tolvaptan prescription and the association between hypernatremia and aging in tolvaptan-treated patients in Japan: Real-world data mining using Japanese databases
. Int J Clin Pharmacol Ther. 2023; 61: 33-36. doi: 10.5414/CP204307. Pubmed: https://pubmed.ncbi.nlm.nih.gov/36331014/; PMID: 36331014.

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