Literature DB >> 29488017

Network analysis of drug-related problems in hospitalized patients with hematologic malignancies.

Myeong Gyu Kim1,2, Chae Reen Jeong1, Hyun Jee Kim1,3, Jae Hyun Kim1, Yun-Kyoung Song1, Kyung Im Kim4, Eunhee Ji5, Sung-Soo Yoon6, Youngil Koh6, Yoon-Sook Cho3, In-Wha Kim1, Jung Mi Oh7.   

Abstract

PURPOSE: Network analysis was conducted to systematically analyze the relationship between causative drugs and types of drug-related problems (DRPs) in hospitalized patients with hematologic malignancies.
METHODS: A total of 1187 DRPs identified in hematology wards between 2013 and 2015 were analyzed. DRPs were classified into 11 sub-domains for problems and 35 sub-domains for causes according to Pharmaceutical Care Network Europe classification. Causative drugs were classified by Anatomical Therapeutic Chemical code. Network analytic tool was used to represent the relationship between drugs, causes, and problems. In-degree centrality (CD-in) was calculated to identify major causes of DRPs.
RESULTS: The following drugs accounted for more than 5% of DRP, including antibacterials (J01, 26.5%), drugs for acid-related disorders (A02, 11.5%), antiemetics (A04, 9.7%), antifungals (J02, 8.8%), and antineoplastic agents (L01, 7.0%). Inappropriate combinations (C1.3, CD-in of 161) of drugs for acid-related disorders, antifungals, and antineoplastic agents were major causes of DRPs and induced non-optimal effects of drug treatment (P1.2). Inappropriate dose adjustments (C3.6, CD-in of 151) of antibacterials lowered effects (P1.2) and increased side effects (P2.1). Missing necessary synergistic or preventive drugs, especially antiemetics, (C1.8, CD-in of 54) resulted in untreated indication (P1.4).
CONCLUSIONS: DRPs were mainly related to medications for supportive care. More attention should be paid to interactions of drugs used for acid-related disorders, dose adjustment of antibacterials, and omission of antiemetics in hospitalized patients with hematologic malignancy.

Entities:  

Keywords:  Drug-related problem; Hematologic malignancy; Inpatient; Network analysis

Mesh:

Year:  2018        PMID: 29488017     DOI: 10.1007/s00520-018-4106-4

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


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