Autor: |
Yu Liu, Man Yang, Yaping Ding, Huanqiang Wang, Hailin Zhang, Dandan Wang, Tianchi Zhuang, Minghui Ji, Yan Cui, Hong Wang |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
BMC Psychiatry, Vol 22, Iss 1, Pp 1-8 (2022) |
Druh dokumentu: |
article |
ISSN: |
1471-244X |
DOI: |
10.1186/s12888-022-04207-4 |
Popis: |
Abstract Background Polypharmacy increases the risk of potential drug–drug interactions (pDDIs). This retrospective analysis was conducted to detect pDDIs and adverse drug reactions (ADRs) among older adults with psychiatric disorder, and identify pDDIs with clinical significance. Methods A retrospective analysis was carried out based on the medical records of older adults with psychiatric disorders. Data on demographic characteristics, substance abuse, medical history, and medications were extracted. The Lexi-Interact online database was used to detect pDDIs. The minimal clinically important difference (MCID) was set as the change in the Treatment Emergent Symptom Scale (TESS) score between admission and discharge. The median and interquartile ranges were used for continuous variables, and frequencies were calculated for dichotomous variables. Poisson regression was implemented to determine the factors influencing the number of ADR types. The influencing factors of each ADR and the clinical significance of the severity of the ADR were analysed using binary logistic regression. P 0.05). Conclusions pDDIs are prevalent in older adults, and the rate is increasing. However, many pDDIs may have no clinical significance in terms of ADR severity. Further research on assessing pDDIs, and possible measures to prevent serious ADRs induced by DDIs is needed to reduce the clinical significance of pDDIs. |
Databáze: |
Directory of Open Access Journals |
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