Prevalence and nature of potential drug-drug interactions among hospitalized HIV patients presenting with suspected meningitis in Uganda.

Background: Management of co-infections including cryptococcal meningitis, tuberculosis and other opportunistic infections in persons living with HIV can lead to complex polypharmacotherapy and increased susceptibility to drug-drug interactions (DDIs). Here we characterize the frequency and types of...

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Publicado en:BMC Infectious Diseases Vol. 20; no. 1; pp. 1 - 15
Autores principales: Eneh, Prosperity C., Hullsiek, Katherine Huppler, Kiiza, Daniel, Rhein, Joshua, Meya, David B., Boulware, David R., Nicol, Melanie R.
Formato: Journal Article
Publicado: BioMed Central 8/5/2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/5/2020
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      pub: BioMed Central
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        10.1186/s12879-020-05296-w
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        atl: Prevalence and nature of potential drug-drug interactions among hospitalized HIV patients presenting with suspected meningitis in Uganda.
      aug:
        au:
          Eneh, Prosperity C.
          Hullsiek, Katherine Huppler
          Kiiza, Daniel
          Rhein, Joshua
          Meya, David B.
          Boulware, David R.
          Nicol, Melanie R.
        affil: Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, USA
      sug:
        subj:
          HIV-1
          Antifungal Agents Therapeutic Use
          Hospitalization
          Anti-Retroviral Agents Therapeutic Use
          AIDS-Related Opportunistic Infections Drug Therapy
          Meningitis, Cryptococcal Drug Therapy
          Cryptococcus
          Coinfection Drug Therapy
          Young Adult
          Middle Age
          Uganda
          Coinfection
          Retrospective Design
          Treatment Outcomes
          Male
          Adolescence
          Female
          Adult
          Drug Interactions
          Risk Factors
          Prevalence
          Drug Monitoring Methods
          Meningitis, Cryptococcal Diagnosis
          Meningitis, Cryptococcal Microbiology
          AIDS-Related Opportunistic Infections
          Scales
          Middle Aged: 45-64 years
          Adolescent: 13-18 years
          Adult: 19-44 years
          Male
          Female
      ab: Background: Management of co-infections including cryptococcal meningitis, tuberculosis and other opportunistic infections in persons living with HIV can lead to complex polypharmacotherapy and increased susceptibility to drug-drug interactions (DDIs). Here we characterize the frequency and types of potential DDIs (pDDIs) in hospitalized HIV patients presenting with suspected cryptococcal or tuberculous meningitis.Methods: In a retrospective review of three cryptococcal meningitis trials between 2010 and 2017 in Kampala, Uganda, medications received over hospitalization were documented and pDDI events were assessed. IBM Micromedex DRUGDEX® online drug reference system was used to identify and describe potential interactions as either contraindicated, major, moderate or minor. For antiretroviral DDIs, the Liverpool Drug Interactions Checker from the University of Liverpool was also used to further describe interactions observed.Results: In 1074 patients with suspected meningitis, pDDIs were present in 959 (overall prevalence = 89.3%) during the analyzed 30 day window. In total, 278 unique interacting drug pairs were identified resulting in 4582 pDDI events. Of all patients included in this study there was a mean frequency of 4.27 pDDIs per patient. Of the 4582 pDDI events, 11.3% contraindicated, 66.4% major, 17.4% moderate and 5% minor pDDIs were observed. Among all pDDIs identified, the most prevalent drugs implicated were fluconazole (58.4%), co-trimoxazole (25.7%), efavirenz (15.6%) and rifampin (10.2%). Twenty-one percent of the contraindicated pDDIs and 27% of the major ones involved an antiretroviral drug. Increased likelihood of QT interval prolongation was the most frequent potential clinical outcome. Dissonance in drug interaction checkers was noted requiring clinicians to consult more than one database in making clinical decisions about drug combinations.Conclusions: The overall prevalence of pDDIs in this population is high. An understanding of drug combinations likely to result in undesired clinical outcomes, such as QT interval prolongation, is paramount. This is especially important in resource limited settings where availability of therapeutic drug monitoring and laboratory follow-up are inconsistent. Adequate quantification of the increased likelihood of adverse clinical outcomes from multiple drug-drug interactions of the same kind in a single patient is needed to aid clinical decisions in this setting.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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