Your browser doesn't support javascript.
loading
Search for Oral Medicine That Might Exacerbate the Prognosis of Adverse Drug Events in Elderly Patients / 医薬品情報学
Japanese Journal of Drug Informatics ; : 277-283, 2017.
Article in English | WPRIM | ID: wpr-378717
ABSTRACT
<b>

Objective:

</b>Elderly patients commonly experience adverse drug events (ADEs) owing to their poor drug metabolizing and excretion ability, and these often cause multiple organ dysfunction syndrome.  Therefore, it is important that we identify the adverse drug events early on during prognosis.  We searched for oral medicines that might exacerbate the prognosis of ADEs in elderly patients.<br><b>

Methods:

</b>The objects under analysis were oral medicines that were registered in the Japanese Adverse Drug Event Report database (JADER).  The associations between the elderly/non-elderly patients and exacerbation risk/non-exacerbation risk were analyzed by risk ratios (RR).  The signal detection of exacerbation risk was defined as 95% confidence interval of lower limit of risk ratio>1 and χ<sup>2</sup>≥4.<br><b>

Results:

</b>The oral medicines that might markedly exacerbate the prognosis of ADEs in the elderly patients in comparison with the ADEs of young patients included 84 items, of which 63 have not been described as potentially inappropriate medicines in all guidelines for medical treatment of the elderly patients.<br><b>

Conclusion:

</b>In this study, while we could not search for oral medicines having a high risk of ADEs, we were able to search for oral medicines that might exacerbate the prognosis of ADEs in elderly patients.  This result could contribute to the proper use of medicines in the elderly patients.

Search on Google
Index: WPRIM (Western Pacific) Type of study: Practice guideline / Prognostic study Language: English Journal: Japanese Journal of Drug Informatics Year: 2017 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Index: WPRIM (Western Pacific) Type of study: Practice guideline / Prognostic study Language: English Journal: Japanese Journal of Drug Informatics Year: 2017 Type: Article